移动微博技术对农村基本公共服务绩效的作用机理研究
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摘要
随着经济社会的不断发展,农村基本公共服务需求出现全面快速的发展。然而目前,农村基本公共服务供给的总量不足,渠道单一,时效性差,服务主体的服务意识薄弱,使得农村居民的基本公共服务需求难以得到满足,极大影响了我国经济社会的可持续发展。究其原因,主要是缺乏一种有效的工具或途径使得农村基本公共服务各供给主体能协同合作以增强服务能力,同时提高服务对象等主体对公共服务过程的监督能力,保证公众需要的基本公共服务能够通过有效渠道及时提供给分布分散、个体差异化程度高的服务对象,提高农村基本公共服务的效率并营造良好的服务氛围。移动互联网和微博技术等新兴信息技术的发展和应用,为基层政府基本公共服务供给提供一种低成本、广用户基础和便捷快速的技术工具。我国基层政府已着手探索利用信息技术提供基本公共服务的各种模式,力求借此提高基本公共服务绩效。
实践探索应立足于实际需求,并有理论指导。目前,信息技术导入的研究大多聚焦在服务过程。信息技术导入服务过程中对组织能力的提升是研究组织绩效作用机理的一种重要方面。其中,信息系统能力观和能力层级观是两个重要理论视角。在公共服务领域,移动服务和微博服务等信息技术的导入和应用对服务绩效提升具有重大意义,但对其研究尚处于起步阶段,主要还是基于传统互联网的电子政务服务绩效的研究,相关研究结论是否适用于新兴信息技术情境还不得而知。因此,探索移动互联网和微博技术等新兴信息技术导入农村基本公共服务后对服务绩效的作用机理具有重要理论价值和实践指导作用。嵊州市作为全国政务公开领导小组的100个电子政务服务试点县之一,利用基于移动微博技术的移动民情微群提供农村基本公共服务效果显著,先后受到人民日报和新华网等媒体的关注,产生广泛积极的社会影响。基于此,本文以移动民情微群为研究对象,探索移动微博技术导入农村基本公共服务过程对服务绩效的作用机理。
本文从移动微博技术导入农村基本公共服务过程出发,以信息系统能力观和组织能力层级观为理论基础,经探索性案例分析、理论推导和实证研究探索农村基本公共服务绩效的作用机理。具体研究问题有三个：1)本文基于新公共服务理论从协同能力和监督能力两个维度判断两种技术对公共服务流程能力的作用,并根据信息系统能力观,研究流程能力对公共服务绩效的作用机理。2)本文识别移动微博技术从内容服务能力和服务交付能力两个维度对基层政府公共服务能力的提升作用,并根据组织能力层级观,研究信息系统使能的低层级流程能力通过高层级服务能力影响公共服务绩效的中介作用机理。3)本文探讨了代表信息系统应用水平的移动民情微群使用率和移动民情微群事件办结率对公共服务流程能力影响公共服务绩效强度的调节作用。
通过对嵊州市382个使用移动民情微群的行政村的调查研究和实证分析,本文得出如下结论：1)移动微博技术导入农村基本公共服务过程提升的服务流程能力会正向影响公共服务绩效；2)移动微博技术提升的基层政府公共服务能力会在公共服务流程能力影响公共服务绩效过程中发挥中介作用；3)除了移动民情微群事件办结率在监督能力和服务氛围间关系不起调节作用外,移动民情微群使用率和移动民情微群事件办结率会在公共服务流程能力两维度和公共服务绩效两维度间关系发挥调节作用。
本文的创新点主要有：1)基于信息系统能力观解读出移动微博技术导入农村基本公共服务过程中提升的服务流程能力对公共服务绩效的影响作用,主要体现在服务流程能力两维度即协同能力和监督能力对公共服务绩效的正向作用；将信息系统能力观拓展到移动公共服务领域。同时,本文也重新解读基于移动微博技术的农村基本公共服务绩效的维度,提出新兴信息技术导入短期内会促进农村基本公共服务效率的提升,长期将在服务提供者间形成良好的“服务氛围”；2)基于能力层级观解读出移动微博技术导入农村基本公共服务后提升农村基本公共服务的能力,主要包括内容服务能力和服务交付能力,并验证服务能力两维度在农村基本公共服务流程能力和公共服务绩效之间的中介作用,拓展了能力层级观的应用范围；3)识别和判断移动民情微群使用率和移动民情微群事件办结率等信息系统应用水平对移动微博技术导入农村基本公共服务过程在服务流程能力和服务绩效间关系发挥调节作用。
总之,本文以浙江省嵊州市各行政村为研究对象,打开了移动徽博技术导入对农村基本公共服务绩效的作用机理的黑箱,对基层政府利用信息技术建设服务型政府具有参考价值。本文根据研究结论提出基层政府信息技术使能的公共服务新方式的实践启示,具有实践意义。此外,本文弥补了基于信息系统能力观和能力层级观的信息技术导入公共服务领域的流程能力、服务能力和服务绩效间关系的研究空缺,提出并验证移动微博情境下的公共服务绩效作用模型,具有理论贡献。
As the advancement of economy and society, demands for basic public services in rural areas are growing rapidly in all aspects. However, currently, basic public service provision in rural areas has problems of inadequate supply, single channel, poor timeliness, and weak service consciousness which make it hard to meet demands of rural residents and impact greatly the sustainability of economic and social development in China. One of main reasons is the lack of an effective tool that enables all public service providers collaborate to improve service capabilities as well as improve supervision capabilities of various public service subjects. The tool can guarantee provision of needed basic public services to service objects with scattered distributions and individual differences through an effective channel. Under this circumstance, the public service efficiency can be enhanced and service climate can be established. Mobile Internet and micro-blog technology continues developing and being applicaed in various areas, which offer low-cost, board user based, and convenient technology tools for basic public services provision. In China, local governments have started searching for new basic public service provision modes with the help of information technologies, aiming to improve public service performance.
Practical exploration should start from real needs and be guided by theoreties. Currently, resreaches about information technology applications mainly focus on service process. Improvement of organizational capabilities induced by introduction of information technologies is an important aspect when studying organizational performance mechanism. Information System Capabilitt View and Hierarchy of Capabilities View are two important theoretical perspectives. In public service area, it is of great meaning for service performance improvement to introduce mobile services and micro-blog services. The researches about applications of mobile mirco-blog technology into public services are still in initial stage with research results mainly focusing on e-government service performance based on traditional Internet technology. Whether the research results are effective regarding new technologies is still unknown. Consequently, learning the mechanism of service performace after the introduction of mobile micro-blog technology into basic public services in rural areas has significant theoretical values and practical guidance. Shengzhou City is one of the100experimental counties for e-government services appointed by National Government Affairs Publicity Leading Group. Shengzhou's mobile micro-blog system based on mobile Internet and mirco-blog technology provides basic public services with remarkable effects, which obtain attentions of many media such as People's Daily and Xinhua, and generate social influence boardly and positively. Under this background, this study takes mobile micro-blog group in Shengzhou as research object and analyzes influencing mechanisms of public service performance after introduction of mobile micro-blog system.
This study focuses on the process of public service provision after introduction of mobile Internet and micro-blog into local government. This study aims to learn the influencing mechanism of public service performance based on Information System Capability View and Hierarchy of Capabilities View and on exploratory case study. Specifically, this study1) analyzes how these two technologies impact service process capabilities through two dimensions namely collaboration capability and supervision capability based on New Public Service Theory, as well as analyzes how service process capability influences public service performance directly.2) recognizes public service capability promotion of local government after introduction of mobile mirco-blog technology. Public service capability is divided into two dimensions, namely content service capability and service delivery capability. The mediation effect public service capability exerts on relationship between public service process capability and public service performance is studied based on Hierarchy of Capabilities View.3) examines regulating effects information system application level has on relationship between process capability and service performance.
This study investigates382administrative villages that use mobile micro-blog group. Through empirical study, conclusions are drawn:1) service process capability will positively impact public service performance after introduction of mobile micro-blog group to public service provision process in rural areas;2) service capability of local government will positively impact public service performance after introduction of mobile micro-blog group to public service provision process in rural areas;3) mobile micro-blog usage rate and mobile micro-blog task completion rate will regulate the relationship between process capability and public service performance except that the mobile micro-blog task completion rate do not regulate the relationship between supervision capability and service climate.
This study has innovative achievements:1) analyze how service process capability influence public service performance based on Information System Capability View after introduction of mobile micro-blog group to public service provision process in rural areas, comfirming that collaboration capabilities and supervision capabilities can positively impact public service performace. And this study also comes up with measurement for public service capability under mobile micro-blog context and proposes that introduction of mobile micro-blog technology will enhance service efficiency in the short term and promote service climate in local government departments in the long term;2) analyze how public service capability moderate relationship between service process capability and service performance based on Hierarchy of Capabilities View after introduction of mobile micro-blog group to public service provision process in rural areas, enlarging the application range of Information System Capability View. The service capability is divided into content service capability and service dilivery capability;3) study if information system application level represented by mobile micro-blog usage rate and mobile micro-blog task completion rate will regulate the relationship between process capability and service performance after introduction of mobile micro-blog group to public service provision process in rural areas.
To be concluded, this study takes administrative villages in Shengzhou City, Zhejiang Province as research objects and analyzes the influencing mechanism of public service performance in rural areas after introduction of mobile micro-blog group. This study provides local government with scientific basis for improving public service performance in the process of service government construction. Practical implications are provided for new public service mode of local governments. Besides, research gaps existing in public service process capability, service capability, and public service performance based on Information System Capability View and Hierarchy of Capabilities View are filled and public service performance influencing model is proposed which makes theoretical contributions.
实践探索应立足于实际需求,并有理论指导。目前,信息技术导入的研究大多聚焦在服务过程。信息技术导入服务过程中对组织能力的提升是研究组织绩效作用机理的一种重要方面。其中,信息系统能力观和能力层级观是两个重要理论视角。在公共服务领域,移动服务和微博服务等信息技术的导入和应用对服务绩效提升具有重大意义,但对其研究尚处于起步阶段,主要还是基于传统互联网的电子政务服务绩效的研究,相关研究结论是否适用于新兴信息技术情境还不得而知。因此,探索移动互联网和微博技术等新兴信息技术导入农村基本公共服务后对服务绩效的作用机理具有重要理论价值和实践指导作用。嵊州市作为全国政务公开领导小组的100个电子政务服务试点县之一,利用基于移动微博技术的移动民情微群提供农村基本公共服务效果显著,先后受到人民日报和新华网等媒体的关注,产生广泛积极的社会影响。基于此,本文以移动民情微群为研究对象,探索移动微博技术导入农村基本公共服务过程对服务绩效的作用机理。
本文从移动微博技术导入农村基本公共服务过程出发,以信息系统能力观和组织能力层级观为理论基础,经探索性案例分析、理论推导和实证研究探索农村基本公共服务绩效的作用机理。具体研究问题有三个：1)本文基于新公共服务理论从协同能力和监督能力两个维度判断两种技术对公共服务流程能力的作用,并根据信息系统能力观,研究流程能力对公共服务绩效的作用机理。2)本文识别移动微博技术从内容服务能力和服务交付能力两个维度对基层政府公共服务能力的提升作用,并根据组织能力层级观,研究信息系统使能的低层级流程能力通过高层级服务能力影响公共服务绩效的中介作用机理。3)本文探讨了代表信息系统应用水平的移动民情微群使用率和移动民情微群事件办结率对公共服务流程能力影响公共服务绩效强度的调节作用。
通过对嵊州市382个使用移动民情微群的行政村的调查研究和实证分析,本文得出如下结论：1)移动微博技术导入农村基本公共服务过程提升的服务流程能力会正向影响公共服务绩效；2)移动微博技术提升的基层政府公共服务能力会在公共服务流程能力影响公共服务绩效过程中发挥中介作用；3)除了移动民情微群事件办结率在监督能力和服务氛围间关系不起调节作用外,移动民情微群使用率和移动民情微群事件办结率会在公共服务流程能力两维度和公共服务绩效两维度间关系发挥调节作用。
本文的创新点主要有：1)基于信息系统能力观解读出移动微博技术导入农村基本公共服务过程中提升的服务流程能力对公共服务绩效的影响作用,主要体现在服务流程能力两维度即协同能力和监督能力对公共服务绩效的正向作用；将信息系统能力观拓展到移动公共服务领域。同时,本文也重新解读基于移动微博技术的农村基本公共服务绩效的维度,提出新兴信息技术导入短期内会促进农村基本公共服务效率的提升,长期将在服务提供者间形成良好的“服务氛围”；2)基于能力层级观解读出移动微博技术导入农村基本公共服务后提升农村基本公共服务的能力,主要包括内容服务能力和服务交付能力,并验证服务能力两维度在农村基本公共服务流程能力和公共服务绩效之间的中介作用,拓展了能力层级观的应用范围；3)识别和判断移动民情微群使用率和移动民情微群事件办结率等信息系统应用水平对移动微博技术导入农村基本公共服务过程在服务流程能力和服务绩效间关系发挥调节作用。
总之,本文以浙江省嵊州市各行政村为研究对象,打开了移动徽博技术导入对农村基本公共服务绩效的作用机理的黑箱,对基层政府利用信息技术建设服务型政府具有参考价值。本文根据研究结论提出基层政府信息技术使能的公共服务新方式的实践启示,具有实践意义。此外,本文弥补了基于信息系统能力观和能力层级观的信息技术导入公共服务领域的流程能力、服务能力和服务绩效间关系的研究空缺,提出并验证移动微博情境下的公共服务绩效作用模型,具有理论贡献。
As the advancement of economy and society, demands for basic public services in rural areas are growing rapidly in all aspects. However, currently, basic public service provision in rural areas has problems of inadequate supply, single channel, poor timeliness, and weak service consciousness which make it hard to meet demands of rural residents and impact greatly the sustainability of economic and social development in China. One of main reasons is the lack of an effective tool that enables all public service providers collaborate to improve service capabilities as well as improve supervision capabilities of various public service subjects. The tool can guarantee provision of needed basic public services to service objects with scattered distributions and individual differences through an effective channel. Under this circumstance, the public service efficiency can be enhanced and service climate can be established. Mobile Internet and micro-blog technology continues developing and being applicaed in various areas, which offer low-cost, board user based, and convenient technology tools for basic public services provision. In China, local governments have started searching for new basic public service provision modes with the help of information technologies, aiming to improve public service performance.
Practical exploration should start from real needs and be guided by theoreties. Currently, resreaches about information technology applications mainly focus on service process. Improvement of organizational capabilities induced by introduction of information technologies is an important aspect when studying organizational performance mechanism. Information System Capabilitt View and Hierarchy of Capabilities View are two important theoretical perspectives. In public service area, it is of great meaning for service performance improvement to introduce mobile services and micro-blog services. The researches about applications of mobile mirco-blog technology into public services are still in initial stage with research results mainly focusing on e-government service performance based on traditional Internet technology. Whether the research results are effective regarding new technologies is still unknown. Consequently, learning the mechanism of service performace after the introduction of mobile micro-blog technology into basic public services in rural areas has significant theoretical values and practical guidance. Shengzhou City is one of the100experimental counties for e-government services appointed by National Government Affairs Publicity Leading Group. Shengzhou's mobile micro-blog system based on mobile Internet and mirco-blog technology provides basic public services with remarkable effects, which obtain attentions of many media such as People's Daily and Xinhua, and generate social influence boardly and positively. Under this background, this study takes mobile micro-blog group in Shengzhou as research object and analyzes influencing mechanisms of public service performance after introduction of mobile micro-blog system.
This study focuses on the process of public service provision after introduction of mobile Internet and micro-blog into local government. This study aims to learn the influencing mechanism of public service performance based on Information System Capability View and Hierarchy of Capabilities View and on exploratory case study. Specifically, this study1) analyzes how these two technologies impact service process capabilities through two dimensions namely collaboration capability and supervision capability based on New Public Service Theory, as well as analyzes how service process capability influences public service performance directly.2) recognizes public service capability promotion of local government after introduction of mobile mirco-blog technology. Public service capability is divided into two dimensions, namely content service capability and service delivery capability. The mediation effect public service capability exerts on relationship between public service process capability and public service performance is studied based on Hierarchy of Capabilities View.3) examines regulating effects information system application level has on relationship between process capability and service performance.
This study investigates382administrative villages that use mobile micro-blog group. Through empirical study, conclusions are drawn:1) service process capability will positively impact public service performance after introduction of mobile micro-blog group to public service provision process in rural areas;2) service capability of local government will positively impact public service performance after introduction of mobile micro-blog group to public service provision process in rural areas;3) mobile micro-blog usage rate and mobile micro-blog task completion rate will regulate the relationship between process capability and public service performance except that the mobile micro-blog task completion rate do not regulate the relationship between supervision capability and service climate.
This study has innovative achievements:1) analyze how service process capability influence public service performance based on Information System Capability View after introduction of mobile micro-blog group to public service provision process in rural areas, comfirming that collaboration capabilities and supervision capabilities can positively impact public service performace. And this study also comes up with measurement for public service capability under mobile micro-blog context and proposes that introduction of mobile micro-blog technology will enhance service efficiency in the short term and promote service climate in local government departments in the long term;2) analyze how public service capability moderate relationship between service process capability and service performance based on Hierarchy of Capabilities View after introduction of mobile micro-blog group to public service provision process in rural areas, enlarging the application range of Information System Capability View. The service capability is divided into content service capability and service dilivery capability;3) study if information system application level represented by mobile micro-blog usage rate and mobile micro-blog task completion rate will regulate the relationship between process capability and service performance after introduction of mobile micro-blog group to public service provision process in rural areas.
To be concluded, this study takes administrative villages in Shengzhou City, Zhejiang Province as research objects and analyzes the influencing mechanism of public service performance in rural areas after introduction of mobile micro-blog group. This study provides local government with scientific basis for improving public service performance in the process of service government construction. Practical implications are provided for new public service mode of local governments. Besides, research gaps existing in public service process capability, service capability, and public service performance based on Information System Capability View and Hierarchy of Capabilities View are filled and public service performance influencing model is proposed which makes theoretical contributions.
引文
[1]Acheson, K. A., & Gall, M. D. Techniques in the clinical supervision of teachers:Preservice and inservice applications. New York:Order Department, Longman Inc.1987.
[2]AGIMO. Service Delivery Capability Model [EB/OL]. Available at: http://www.finance. gov.au/publicati ons/delivering-australian-government-serv ices-service-delivery-capability-model/index.html,2006.
[3]Aker, J., & Mbiti, I. Mobile phones and economic development in Africa. Center for Global Development Working Paper,2010,211.
[4]Akiyoshi, M., & Ono, H. The diffusion of mobile Internet in Japan. The Information Society,2008,24(5),292-303.
[5]Akkawi, A., Schaller, S., Wellnitz, O., & Wolf, L. A mobile gaming platform for the IMS. Proceedings of 3rd ACM SIGCOMM workshop on Network and system support for games. ACM,2004,77-84.
[6]Aladwani, A. M. A cross-cultural comparison of Kuwaiti and British citizens' views of e-government interface quality. Government Information Quarterly, 2013,30(1),74-86.
[7]Amichai-Hamburger, Y. Potential and promise of online volunteering. Computers in Human Behavior,2008,24(2),544-562.
[8]Amit, R., & Schoemaker, P. J. Strategic assets and organizational rent. Strategic Management Journal,1993,14(1),33-46.
[9]Andrews, R., & Boyne, G. Corporate capacity and public service performance. Public Administration,2011,89(3),894-908
[10]Andrews, R., Boyne, G. A., Law, J., & Walker, R. M. Organizational strategy, external regulation and public service performance. Public administration, 2008,86(1),185-203.
[11]Andrews, R., Boyne, G., Law, J., & Walker, R. Centralization, organizational strategy, and public service performance. Journal of Public Administration Research and Theory,2009,19(1),57-80.
[12]Andrews, R., Boyne, G., Moon, M. J., & Walker, R. Assessing organizational performance:Exploring differences between internal and external measures. International Public Management Journal,2010,13(2),105-129.
[13]Andrews, R., Boyne, G., & Walker, R. The impact of management on administrative and survey measures of organizational performance. Public Management Review,2011,13(2),227-255.
[14]Andrews, R., & Entwistle, T. Does cross-sectoral partnership deliver? An empirical exploration of public service effectiveness, efficiency, and equity. Journal of Public Administration Research and Theory,2010,20(3),679-701.
[15]Anthopoulos, L., Siozos, P., & Tsoukalas, I. Applying participatory design and collaboration in digital public services for discovering and re-designing e-Government services, Government Information Quarterly,2007,24(2), 353-376.
[16]Au, Y. A., & Kauffman, R. J. The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications,2008,7(2), 141-164.
[17]Augier, M., & Teece, D. J. Strategy as evolution with design:The foundations of dynamic capabilities and the role of managers in the economic system. Organization Studies,2008,29(8-9),1187-1208.
[18]Baker, D. L. Advancing E-Government performance in the United States through enhanced usability benchmarks. Government Information Quarterly, 2009,26(1),82-88.
[19]Banker, R. D., Bardhan, I. R., Chang, H., & Lin, S. Plant information systems, manufacturing capabilities, and plant performance. MIS Quarterly,2006, 30(2),315-337.
[20]Barnes, S. J., & Vidgen, R. T. Data triangulation and web quality metrics:A case study in e-government. Information & Management,2006,43(6), 767-777.
[21]Barney, J. Firm resources and sustained competitive advantage. Journal of Management,1991,17(1),99-120.
[22]Basole, R. C. The value and impact of mobile information and communication technologies. Proceedings of the 2004 IFAC Symposium, Atlanta, GA,2004.
[23]Bazzoli, G. J., Stein, R., Alexander, J. A., Conrad, D. A., Sofaer, S., & Shortell, S. M. Public-private collaboration in health and human service delivery: Evidence from community partnerships. Milbank Quarterly, 1997, 75(4), 533-561.
[24]Bernardin, H. J., & Beatty, R. W. Performance appraisal:Assessing human behavior at work. Boston:Kent Publishing Company.1984.
[25]Bertot, J. C., Jaeger, P. T., & Grimes, J. M. Using ICTs to create a culture of transparency:E-government and social media as openness and anti-corruption tools for societies. Government Information Quarterly,2010,27(3),264-271.
[26]Bertot, J. C., Jaeger, P. T., & Hansen, D. The impact of polices on government social media usage:Issues, challenges, and recommendations. Government Information Quarterly,2012,29(1),30-40.
[27]Bharadwaj, A. S. A Resource-Based Perspective on Information Technology Capability and Firm Performance:An Empirical Investigation. MIS Quarterly, 2000,24(1),169-196.
[28]Blazevic, V., & Lievens, A. Learning during the new financial service innovation process:antecedents and performance effects. Journal of Business Research,2004,57(4),374-391.
[29]Boyd, D., Golder, S., & lotan, g. Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. In R.h. Sprague (ed.), Proceedings of the 43rd Annual Hawaii International Conference on System Sciences. Los Alamitos, CA:IEEE Computer Society,2010.
[30]Boyne, G. A., & Meier, K. J. Environmental turbulence, organizational stability, and public service performance. Administration & Society,2009, 40(8),799-824.
[31]Bouwman, H., Bejar, A., & Nikou, S. Mobile services put in context: A Q-sort analysis. Telematics and Informatics,2012,29(1),66-81.
[32]Brown, T. L., Potoski, M., & Van Slyke, D. M. Managing public service contracts:Aligning values, institutions, and markets. Public Administration Review,2006,66(3),323-331.
[33]Buchanan, J. M., & Tollison, R. D. (Eds.). The Theory of Public Choice:Ⅱ. Michigan:University of Michigan Press.1984.
[34]Buchholz, T., Hochstatter, I., & Linnhoff-Popien, C. Distribution strategies for the contextualized mobile Internet. Electronic Commerce Research and Applications,2007,6(1),40-52.
[35]Bunker, D. R., & Wijnberg, M. H. Supervision and performance:Managing professional work in human service organizations. Jossey-Bass.1988.
[36]Burke, R. J. Supervision and service quality. Measuring Business Excellence, 2001,5(4),28-31.
[37]Byrd, T. A., Pitts, J. P., Adrian, A. M., & Davidson, N. W. Examination of a path model relating information technology infrastructure with firm performance. Journal of Business Logistics,2008,29(2),161-187.
[38]Calsyn, R. J., & Roades, L. A. Predicting perceived service need, service awareness, and service utilization. Journal of Gerontological Social Work, 1994,21(1-2),59-76.
[39]Canibano, C., Encinar, M. I., & Munoz, F. F. Evolving capabilities and innovative intentionality: Some reflections on the role of intention within innovation processes. INNOVATION:management, policy & practice,2006, 8(4-5),310-321.
[40]Carter, L., & Belanger, F. The utilization of e-government services:citizen trust, innovation and acceptance factors. Information Systems Journal,2005, 15(1),5-25.
[41]Chan, Y. E., & Reich, B. H. IT alignment:what have we learned? Journal of Information Technology,2007,22(4),297-315.
[42]Chang, H. L., Lin, J. R., Wang, K., Hsu, C., & Tai, J. C. The Design of the Mobile Service: Fit between Mobility and Customer Variability. System Science (HICSS),45th Hawaii International Conference on. IEEE,2012, 1383-1392.
[43]Chatfield, A. T., & Alhujran, O. A cross-country comparative analysis of e-government service delivery among Arab countries. Information Technology for Development,2009,15(3),151-170.
[44]Chen, C. W. Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems-An empirical study. Information & Management,2010, 47(5),308-315.
[45]Chen, G. M. Tweet this:A uses and gratifications perspective on how active Twitter use gratifies a need to connect with others. Computers in Human Behavior,2011,27(2),755-762.
[46]Chen, J. S., & Tsou, H. T. Performance effects of IT capability, service process innovation, and the mediating role of customer service. Journal of Engineering and Technology Management,2012,29(1),71-94.
[47]Chen, L. D. A model of consumer acceptance of mobile payment. International Journal of Mobile Communications,2008,6 (1),32-52.
[48]Choi, H., Kim, Y., & Kim, J. Driving factors of post adoption behavior in mobile data services. Journal of Business Research,2011,64(11),1212-1217.
[49]Clark, K. B. Competing through manufacturing and the new manufacturing paradigm:is manufacturing strategy passe?. Production and Operations Management,1996,5(1),42-58.
[50]Clarke, I. Emerging value propositions for M-commerce. Journal of Business Strategies,2001,18(2),133-149
[51]Clemons, E. K., & Row, M. C. Susaining IT Advantage:the Role of Structural Differences. MIS Quarterly,1991,15(3),275-292.
[52]Collis, D. J. Research note:how valuable are organizational capabilities?. Strategic Management Journal,1994,15(S1),143-152.
[53]Daly, J. L. Implications of organizational climate and ethical leadership on reengineering in municipal government. Public Administration Quarterly, 2002,198-217.
[54]Damanpour, F. The adoption of technological, administrative and ancillary innovations-impact of organizational factors. Journal of Management,1987, 13(4),675-688
[55]Davenport, T. H. Process innovation:reengineering work through information technology. Boston:Harvard Business Press.1993.
[56]Davis, F. Perceived usefulness, perceived case of use, and user acceptance of information technology. MIS Quarterly,1989,13(3),319-340.
[57]Davis, J. Corruption in public service delivery: Experience from South Asia's water and sanitation sector. World Development,2004,32(1),53-71.
[58]Dawes, S. S. The evolution and continuing challenges of e-governance. Public Administration Review,2008,68(s1), S86-S102.
[59]Dawes, S. S., Bloniarz, P. A., Kelly, K. L., & Fletcher, P. D. Some assembly required:building a digital government for the 21st Century, Center for Technology in Government, University at Albany, SUNX.1999.
[60]De Jong, A., De Ruyter, K., & Lemmink, J. Antecedents and consequences of the service climate in boundary-spanning self-managing service teams. Journal of Marketing,2004,18-35.
[61]Denhardt, R. B., & Denhardt, J. V. The new public service:Serving rather than steering. Public administration review,2000,60(6),549-559.
[62]deSanctis, G., & Poole, M. S. Capturing the complexity in advanced technology use:Adaptive structuration theory. Organization Science,1994, 5(2),121-147
[63]Dess, G. G., & Robinson, R. B. Measuring organizational performance in the absence of objective measures: The case of the privately-held firm and conglomerate business unit. Strategic Management Journal,1984,5(3), 265-273.
[64]Devadoss, P. R., Pan, S. L., & Huang, J. C. Structurational analysis of e-government initiatives:a case study of SCO. Decision support systems, 2003,34(3),253-269.
[65]Dias, G. P., & Rafael, J. A. A simple model and a distributed architecture for re-alizing one-stop e-government. Electronic Commerce Research and Applications,2007,6(1),81-90.
[66]Ding, L., Velicer, W. F., & Harlow, L. L. Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling:A Multidisciplinary Journal,1995,2(2):119-143.
[67]Ding, X., Ijima, J., & Ho, S. Unique features of mobile commerce. Tokyo 152-8552, Japan:Graduate School of Decision Science and Technology,2004, TITECH.
[68]Djellal, F., Gallouj, F., & Miles, I. Two decades of research on innovation in services:Which place for public services? Structural Change and Economic Dynamics,2013.
[69]Dorling, A. SPICE:Software process improvement and capability determination. Software Quality Journal,1993,2(4),209-224.
[70]Dutta, S., Narasimhan, O. M., & Rajiv, S. Conceptualizing and measuring capabilities:methodology and empirical application. Strategic Management Journal,2005,26(3),277-285.
[71]Edvardsson, B., Tronvoll, B., & Gruber, T. Expanding understanding of service exchange and value co-creation:a social construction approach. Journal of the Academy of Marketing Science,2011,39(2),327-339.
[72]Eisenhardt, K. M. Building theories from case study research. Academy of management review,1989,532-550.
[73]Eisenhardt, K. M., & Graebner, M. E. Theory building from cases: opportunities and challenges. Academy of management journal,2007,50(1), 25-32.
[74]Eisenhardt, K., & Martin, J. Dynamic capabilities:what are they? Strategic Management Journal,2000,21(10-11),1105-1121.
[75]Elbashir, M. Z., Collier, P. A., & Sutton, S. G. The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review,2011,86(1), 155-184.
[76]Ethiraj, S. K., Kale, P., Krishnan, M. S., & Singh, J. V. Where do capabilities come from and how do they matter? A study in the software services industry. Strategic Management Journal,2005,26(1),25-45.
[77]Fedorowicz, J., Gelinas, J., Gogan, J., & Williams, C., Strategic alignment of participant motivations in e-government collaborations:The Internet Payment Platform pilot, Government Information Quarterly,2009,26(1),51-59
[78]Feeny, D. F., & Willcocks, L. P. Core IS capabilities for exploiting information technology. Sloan Management Review.1998,39(3),9-21.
[79]Gareis, K. Towards user-centered E-Govrnment. Understanding potential demand for online public services. Paper presented at the Telecities and MUTEIS conference'Urban impacts of the information society:Facts, fiction and policies', March 17-19,2004, The Hague (2004)
[80]Garnett, J. L., Marlowe, J., & Pandey, S. K. Penetrating the performance predicament:communication as a mediator or moderator of organizational culture's impact on public organizational performance. Public Administration Review,2008,68(2),266-281.
[81]Gebauer, J., & M. J. Shaw. Success factors and impacts of mobile business applications:Results from a mobile e-procurement study. International Journal of Electronic Commerce.2004,8 (3),19-41.
[82]Gebauer, J., Shaw, M. J., & Gribbins, M. L. Task-technology fit for mobile information systems. Journal of Information Technology, 2010, 25(3), 259-272.
[83]Gefen, D., Karahanna, E., & Straub, D.W. Trust and TAM in online shopping: an integrated model. MIS Quarterly,2003,27(1),51-90.
[84]Gerpott, T. Attribute perceptions as factors explaining Mobile Internet acceptance of cellular customers in Germany-An empirical study comparing actual and potential adopters with distinct categories of access appliances. Expert Systems with Applications,2011,38(3),2148-2162.
[85]Ghiselli, E. E., Campbel 1, J. P., & Zedeck, S. Measurement theory for the behavioral sciences. San Francisco:Freeman,1981.
[86]Ghyasi, A. F., & Kushchu, I. M-Government:cases of developing countries. M-GovLab, Intl. Univ. of Japan.2009.09.19.
[87]Gil-Garcia, J. R., & Martinez-Moyano, I. J. Understanding the evolution of e-government:The influence of systems of rules on public sector dynamics. Government Information Quarterly,2007,24(2),266-290.
[88]Glisson, C., & Hemmelgarn, A. The effects of organizational climate and interorganizational coordination on the quality and outcomes of children's service systems. Child Abuse & Neglect,1998,22(5),401-421.
[89]Glisson, C., & James, L. R. The cross-level effects of culture and climate in human service teams. Journal of Organizational Behavior, 2002, 23(6), 767-794.
[90]Gorsuch, R. L. Factor analysis (2nd ed.). Hillsdale, NJ:Erlbaum,1983.
[91]Grizzle, G. A. Measuring state and local government performance:Issues to resolve before implementing a performance measurement system. State & Local Government Review,1982,132-136.
[92]Golbeck, J., Grimes, J. M., & Rogers, A. Twitter use by the U.S. Congress. Journal of the American Society for Information Science and Technology, 2010,61(8),1612-1621.
[93]Gorsuch, R. L., & Ortberg, J. Moral obligation and attitudes: Their relation to behavioral intentions. Journal of Personality and Social Psychology, 1983, 44(5),1025.
[94]Gouscos, D., Kalikakis, M., Legal, M., & Papadopoulou, S. A general model of peformance and quality for one-stop e-govemment service offerings. Government Information Quarterly,2007,24(4),860-885.
[95]Grajek, M. Estimating network effects and compatibility: Evidence from the Polish mobile market. Information Economics and Policy, 2010, 22(2), 130-143.
[96]Grant, R. M. Prospering in dynamically-competitive environments: organizational capability as knowledge integration. Organization science, 1996,7(4),375-387.
[97]Grewal, R., & Slotegraaf, R. J. Embeddedness of organizational capabilities. Decision Sciences,2007,38(3),451-488.
[98]Grimsley, M., & Meehan, A. e-Government information systems: Evaluation-led design for public value and client trust. European Journal of Information Systems,2007,16(2),134-148.
[99]Gronroos, C. Service logic revisited:who creates value? And who co-creates? European Business Review,2008,20(4),298-314.
[100]Gummerus, J., & Pihlstrom, M. Context and mobile services'value-in-use. Journal of Retailing and Consumer Services,2011,18(6),521-533.
[101]Gupta, M. P., & Jana, D. E-government evaluation:A framework and case study. Government Information Quarterly,2003,20(4),365-387.
[102]Hackney, R., Jones, S., & Losch, A. Towards an e-Government efficiency agenda: the impact of information and communication behaviour on e-Reverse auctions in public sector procurement. European Journal of Information Systems,2007,16(2),178-191.
[103]Hatcher, L. A step-by-step approach to using the SAS system for factor analysis and structural equation model ing. Cary, NC:SAS Publishing, 1994.
[104]Hillman, B. Factions and spoils:examining political behavior within the local state in China.The China Journal,2010(64),1-18.
[105]Hoggett, P. Conflict, ambivalence, and the contested purpose of public organizations. Human Relations,2006,59(2),175-194.
[106]Hong, S. J., & Tam, K. Y. Understanding the adoption of multipurpose information appliances:the case of mobile data services. Information systems research,2006,17(2),162-179.
[107]Hsu, C. L., Lu, H. P., & Hsu, H. H. Adoption of the mobile Internet:An empirical study of multimedia message service (MMS). Omega,2007,35(6), 715-726.
[108]Hu, G., Shi, J., Pan, W., & Wang, J. A hierarchical model of e-government service capability: An empirical analysis. Government Information Quarterly, 2012,29(4),564-572.
[109]Hu, G., Zhong, W., & Mei, S. Electronic Public Service (EPS) and its implementation in Chinese local governments. International Journal of Electronic Governance,2008,1(2),118-138.
[110]Hu, P. J., Clark, T. H. K., & Ma, W. W. Examining technology acceptance by school teachers:a longitudinal study. Information & Management,2003,41(2), 227-241.
[111]Huang, J. H., Lin, Y. R., & Chuang, S. T. Elucidating user behavior of mobile learning:A perspective of the extended technology acceptance model. Electronic Library,2007,25(5),585-598.
[112]Huang, M. L., Chen, K. S., & Hung, Y. H. Integrated process capability analysis with an application in backlight module. Microelectronics Reliability, 2002,42(12),2009-2014.
[113]Huang, S. H., Chang, C. M., & Kuo, S. R. User acceptance of mobile e-government services:An empirical study. Government Information Quarterly,2013,30(1),33-44.
[114]Hung, S. Y., Chang, C. M., & Yu, T. J. Determinants of user acceptance of the e-Government services:The case of online tax filing and payment system. Government Information Quarterly,2006,23(1),97-122.
[115]Hwang, Y., & Kim, D. J. Customer self-service systems:the effects of perceived web quality with service contents on enjoyment, anxiety, and e-trust. Decision Support Systems,2007,43(3),746-760.
[116]Iacovou, C. L., Benbasat, I., & Dexter, A. S. Electronic data interchange and small organizations:adoption and impact of technology. MIS Quarterly, 1995, 465-485.
[117]Irani, Z., Love, P. E. D., Elliman, T., Jones, S., & Themistocelous, M. Evaluating e-Government:Learning from the experiences of two UK local authorities. Information Systems Journal,2005,15(1),61-82.
[118]Isik, O., Jones, M. C., & Sidorova, A. Business intelligence success:The roles of BI capabilities and decision environments. Information & Management, 2013,50(1),13-23.
[119]Jaeger, P. T., & Thompson, K. M. Social information behavior and the democratic process:Information poverty, normative behavior, and electronic government in the United States. Library and Information Science Research, 2004,26(1),94-107
[120]James, L. R., James, L. A., & Ashe, D. K. The meaning of organizations:the role of cognition and values. In B. Schneider (Ed.), Organizational climate and culture. San Fransisco:Jossey-Bass.1990,40-84.
[121]James, L. R., & Jones, A. E. Organizational Climate:A Review of Theory and Research. Psychological Bulletin,1974,81(12),1096-1112.
[122]Java, A., Song, X., Finin, T., & Tseng, B. Why we twitter:understanding microblogging usage and communities. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. ACM,2007,56-65.
[123]Jia, R., & Reich, B. H. IT service climate, antecedents and IT service quality outcomes:Some initial evidence. The Journal of Strategic Information Systems.2013,22(1),51-69
[124]Jiang, Z., Chan, J., Tan, B., & Chua, W. S. Effects of interactivity on website involvement and purchase intention. Journal of the Association for Information Systems,2010,11(1),34-59.
[125]Jih, W. J. Effects of consumer-perceived convenience on shopping intention in mobile commerce:an empirical study. International Journal of E-Business Research,2007,3(4),33-48.
[126]Jung, J. Y. Where do you go online? A comparison of Internet connectedness via personal computers and mobile phones in Japan. International Journal of Mobile Communications,2009,7(1),21-35.
[127]Junglas, I., Abraham, C., & Watson, R. T. Task-technology fit for mobile locatable information systems. Decision Support Systems,2008,45(4), 1046-1057.
[128]Kaisara, G., & Pather, S. The e-Government evaluation challenge:A South African Batho Pele-aligned service quality approach. Government Information Quarterly,2011,28(2),211-221
[129]Kakihara, M., & Sorensen, C. Expanding the 'mobility' concept. ACM SIG Group bulletin,2001,22(3),33-37.
[130]Kane, V. E. Process capability indices. Journal of Quality Technology,1986, 18(1),41-52.
[131]Kaplan, A. M., & Haenlein, M. The early bird catches the news: Nine things you should know about micro-blogging. Business Horizons,2011,54(2), 105-113.
[132]Kaya, I., & Kahraman, C. Fuzzy robust process capability indices for risk assessment of air pollution. Stochastic Environmental Research and Risk Assessment,2009,23(4),529-541.
[133]Kaylor, C., Deshazo, R., & Eck, D. V. Gauging e-government: A report on implementing services among American cities. Government Information Quarterly,2001,18(4),293-307.
[134]Kilminster, S. M., & Jolly, B. C. Effective supervision in clinical practice settings:a literature review. Medical education,2000,34(10),827-840.
[135]Kim, C., Mirusmonov, M., & Lee, I. An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior,2010,26(3),310-322.
[136]Kim, H. W., Chan, H. C., & Gupta, S. Value-based adoption of Mobile Internet: An empirical investigation. Decision Support Systems,2007,43(1),111-126.
[137]Kim, S., & Lee, J. E-Participation, Transparency, and Trust in Local Government. Public Administration Review,2012,72(6),819-828.
[138]Kim, Y., Yoon, J., Park, S., & Han, J. Architecture for implementing the mobile government services in Korea. Conceptual Modeling for Advanced Application Domains. Springer Berlin Heidelberg,2004,601-612.
[139]King, S. F. Citizens as customers:Exploring the future of CRM in UK local government. Government Information Quarterly,2007,24(1),47-63.
[140]Kristoffersen, S., & Ljungberg, F. "Making place" to make IT work:empirical explorations of HCI for mobile CSCW. Proceedings of the international ACM SIGGROUP conference on supporting group work. ACM,1999,276-285.
[141]Kunstelj, M., Jukic, T., & Vintar, M. Analysing the demand side of E-Government:What can we learn from Slovenian users? Lecture Notes in Computer Science,2007,305-317
[142]Kuo, Y. F., & Chen, P. C. Selection of mobile value-added services for system operators using fuzzy synthetic evaluation. Expert Systems with Applications. 2006,30(4),612-620.
[143]Kyvik, S., & Smeby, J. C. Teaching and research. The relationship between the supervision of graduate students and faculty research performance. Higher Education,1994,28(2),227-239.
[144]Ladhari, R. Developing e-service quality scales:A literature review. Journal of Retailing and Consumer Services,2010,17(6),464-477.
[145]Lai, K. Service capability and performance of logistics service providers. Transportation Research Part E:Logistics and Transportation Review,2004, 40(5),385-399.
[146]Layne, K., & Lee, J. Developing fully functional E-government:A four stage model. Government Information Quarterly,2001,18(2),122-136.
[147]Lee, G., & Kwak, Y. H. An Open Government Maturity Model for social media-based public engagement. Government Information Quarterly,2012, 29(4),492-503.
[148]Lee, I., Choi, B., Kim, J., & Hong, S. J. Culture-technology fit:effects of cultural characteristics on the post-adoption beliefs of mobile internet users. International Journal of Electronic Commerce,2007,11(4),11-51.
[149]Lee, K. C., & Chung, N. Understanding factors affecting trust in and satisfaction with mobile banking in Korea:A modified DeLone and McLean's model perspective. Interacting with computers,2009,21(5),385-392.
[150]Lee, S. M., Tan, X., & Trimi, S. Current practices of leading e-government countries. Communications of the ACM,2005,48(10),99-104.
[151]Lee, Y., & Kozar, K. A. An empirical investigation of anti-spyware software adoption:a multitheoretical perspective. Information & Management,2008, 45(2),109-119
[152]Lee, Y. K., Park, J. H., Chung, N., & Blakeney, A. A unified perspective on the factors influencing usage intention toward mobile financial services. Journal of Business Research,2012,65(11),1590-1599.
[153]Leem, C. S., Suh, H. S., & Kim, D. S. A classification of mobile business models and its applications. Industrial Management & Data Systems.2004, 104(1/2),78-87.
[154]Lenk, K., & Traunmuller, R. A framework for electronic government. Database and Expert Systems Applications,2000. Proceedings.11th International Workshop on. IEEE,2000,271-277.
[155]Lin, W. Y., Zhang, X., Jung, J. Y., & Kim, Y. C. From the wired to wireless generation? Investigating teens'Internet use through the mobile phone. Telecommunications Policy,2013,37(8),651-661.
[156]Linck, K., Pousttchi, K., & Wiedemann, D. G. Security issues in mobile payment from the customer viewpoint. In Proceedings of the 14th European Conference on Information Systems (ECIS 2006). Goteborg.2006,1-11.
[157]Lindgren, I., & Jansson, G. Electronic services in the public sector: A conceptual framework. Government Information Quarterly, 2013,30(2), 163-172.
[158]Lips, M. Reorganizing public service deliver in an information age, in Ignace Snellen, Wim van de Donk (eds.). Public Administration in an Informalion Age:A Handbook, IOS Press,1998,325-339.
[159]Liu, Y., & Li, H. Exploring the impact of use context on mobile hedonic services adoption:An empirical study on mobile gaming in China. Computers in Human Behavior,2011,27(2),890-898.
[160]Lu, J., Yao, J. E., & Yu, C. S. Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems,2005,14(3),245-268.
[161]Lu, Y., & Ramamurthy, K. Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly,2011,35(4),931-954.
[162]Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. Dynamics between the trust transfer process and intention to use mobile payment services:A cross-environment perspective. Information & Management,2011,48(8),393-403.
[163]Luo, X., Li, H., Zhang, J., & Shim, J. P. Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies:An empirical study of mobile banking services. Decision Support Systems,2010, 49(2),222-234.
[164]Lyytinen, K., & Robey, D. Learning failure in information systems development. Information Systems Journal,1999,9(2),85-101.
[165]Ma, D., Wang, Q., Xu, Z., Liang, W., & Chen, G. Research on the Evaluation of E-Governemnt Service Quality. International Conference on Wireless Communications, Networking and Mobile Computing,2008.
[166]Ma, L. The diffusion of government microblogging:evidence from Chinese municipal police bureaus. Public Management Review,2013,15(2),288-309.
[167]Ma, L., Chung, J., & Thorson, S. E-government in China:Bringing economic development through administrative reform. Government Information Quarterly,2005,22(1),20-37.
[168]Madjar, N. The contributions of different groups of individuals to employees' creativity. Advances in Developing Human Resources,2005,7(2),182-206.
[169]Mallat, N. Exploring consumer adoption of mobile payments-a qualitative study. The Journal of Strategic Information Systems,2007,16(4),413-432.
[170]Mallat, N., Rossi, M., & Tuunainen, V. K. Mobile banking services. Communications of the ACM,2004,47(5),42-46.
[171]Mallat, N., Rossi, M., Tuunainen, V. K., & Oorni, A. The impact of use context on mobile services acceptance:The case of mobile ticketing. Information & Management,2009,46(3),190-195.
[172]Mani, D., Barua, A., & Whinston, A. B. An Empirical Analysis of the Impact of Information Capabilities Design on Business Process Outsourcing Performance. MIS Quarterly,2010,34(1),39-62.
[173]Mata, F. J., Fuerst, W. L., & Barney, J. B. Information Techonology and Sustained Competitive Advantage:A Resource-Based Analysis. MIS Quarterly, 1995,19(4),487-505.
[174]McMullen, S. US government information:selected current issues in public access vs. private competition. Journal of Government Information,2000, 27(5),581-593.
[175]McNaughton, B., Ray, P., & Lewis, L. Designing an evaluation framework for IT service management. Information Management,2010,47(4),219-225.
[176]Meeker, M., & Wu, L.2013 Internet trends. KPCB,2013.
[177]Melkers, J., & Willoughby, K. Models of Performance-Measurement Use in Local Governments:Understanding Budgeting, Communication, and Lasting Effects. Public Administration Review,2005,65(2),180-190.
[178]Melville, N., Kraemer, K., & Gurbaxani, V. Review:Information technology and organizational performance:An integrative model of IT business value. MIS Quarterly,2004,28(2),283-322.
[179]Menor, L. J., Kristal, M. M., & Rosenzweig, E. D. Examining the influence of operational intellectual capital on capabilities and performance. Manufacturing & Service Operations Management,2007,9(4),559-578.
[180]Meo, D. P., Quattrone, G., & Ursino, D. A multiagent system for assisting citizens in their search of e-government services. Systems, Man, and Cybernetics, Part C:Applications and Reviews, IEEE Transactions on,2008, 38(5),686-698.
[181]Mishra, A. N., Devaraj, S., & Vaidyanathan, G. Capability hierarchy in electronic procurement and procurement process performance:An empirical analysis. Journal of Operations Management,2013,31(6),376-390.
[182]Moon, M. J. The Evolution of E-Government among Municipalities: Rhetoric or Reality? Public administration review,2002,62(4),424-433.
[183]Montoya, M., Massey, A., & Khatri, V. Connecting IT services operations to services marketing practices. Journal of Management Information Systems, 2010,26(4),65-85.
[184]Moran, E. T., & Volkwein, J. F. The cultural approach to the formation of organizational climate. Human relations,1992,45(1),19-47.
[185]Morgeson, F. V., & Mithas, S. Does E-Government Measure Up to E-Business? Comparing End User Perceptions of US Federal Government and E-Business Web Sites. Public Administration Review,2009,69(4),740-752.
[186]M-Taiwan. Mobile Taiwan applications promotion program. http://www.mtaiwan.org.tw/cht/index.php (2010)
[187]Nelson, R. R., Todd, P. A., & Wixom, B. H. Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4), 199-235.
[188]Nikou, S., & Mezei, J. Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP). Telecommunications Policy, 2012.
[189]Nordman, J., & Liljander, V. Mobile service quality - a study of contributing factors. Swedish School of Economics and Business Administration. Working paper.2003.
[190]Ntaliani, M., Costopoulou, C., & Karetsos, S. Mobile government: A challenge for agriculture. Government Information Quarterly,2008,25(4), 699-716.
[191]Obe, O. O., & Balogun, V. F. Practice, trends and challenges of mobile commerce in Nigeria. Information Technology Journal,2007,6(3),448-456.
[192]Oh, O., Agrawal, M., & Rao, H. R. Community Intelligence and Social Media Services:A Rumor Theoretic Analysis of Tweets during Social Crises. Management Information Systems Quarterly,2013,37(2),407-426.
[193]Ojo, A. Janowski T, Awotwi J. Enabling development through governance and mobile technology. Government Information Quarterly,2013,30(1), S32-S45.
[194]O'Leary, R., & Bingham, L. B. eds. The Collaborative Public Manager: New Ideas for the Twenty-First Century. Washington, DC:Georgetown University Press.2008.
[195]O'Leary, R., David, M., Van, S., & Kim, S. (eds.) The Future of Public Administration around the World:The Minnowbrook Perspective. Washington, DC:Georgetown University Press.2010.
[196]Okazaki, S., & Hirose, M. Effects of displacement-reinforcement between traditional media, PC Internet and mobile Internet:A quasi-experiment in Japan. International Journal of Advertising,2009,28(1),77-104.
[197]Orlikowski, W. J. The duality of technology: Rethinking the concept of technology in organizations. Organization Science,1992,3(3),398-427
[198]Otjacques, B., Hitzelberger, P., & Feltz, F. Interoperability of e-government information systems:Issues of identification and data sharing. Journal of Management Information Systems,2007,23(4),29-51.
[199]Ozcan, P., & Eisenhardt, K. M. Origin of alliance portfolios:Entrepreneurs, network strategies, and firm performance. Academy of Management Journal, 2009,52(2),246-279.
[200]Pan, S. L., Tan, C. W., & Lim, E. T. Customer relationship management (CRM) in e-government: a relational perspective. Decision Support Systems, 2006,42(1),237-250.
[201]Pandey, S. K., & Garnett, J. L. Exploring public sector communication performance:Testing a model and drawing implications. Public Administration Review,2006,66(1),37-51.
[202]Papadomichelaki, X., & Mentzas, G. e-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 2012,29(1),98-109.
[203]Parasuraman, A., Zeithaml, V. A., & Malhotra, A. E-S-Qual:a multiple-item scale for assessing electronic service quality Journal of Service Research, 2005,7(3),213-233.
[204]Park, E., & Ohm, J. Factors influencing users'employment of mobile map services. Telematics and Informatics,2014,31(2),253-265.
[205]Paul, G. S., Oliver, S., & Bernd, W. W. Understanding consumer acceptance of mobile payment services:an empirical analysis. Electronic Commerce Research and Applications,2010,9 (3),209-216.
[206]Pavlou, P. A., & El Sawy, O. A. From IT leveraging competence to competitive advantage in turbulent environments:The case of new product development. Information Systems Research,2006,17(3),198-227.
[207]Pearce, K. E., & Rice, R. E. Digital divides from access to activities: Comparing mobile and personal computer Internet users. Journal of Communication,2013,63(4),721-744.
[208]Perry, M., O'hara, K., Sellen, A., Brown, B., & Harper, R. Dealing with mobility: Understanding access anytime, anywhere. ACM Transactions on Computer-Human Interaction,2001,8(4),323-347.
[209]Peteraf, M. A. The cornerstones of competitive advantage:a resource-based view. Strategic Management Journal,1993,14(30),179-191.
[210]Pettigrew, A. M. Longitudinal field research on change:theory and practice. Organization Science,1990,1(3),267-292.
[211]Pidd, M. Perversity in public service performance measurement. International Journal of Productivity and Performance Management,2005,54(5/6), 482-493.
[212]Picazo-Vela, S., Gutierrez-Martinez, I., & Luna-Reyes, L. F. Understanding risks, benefits, and strategic alternatives of social media applications in the public sector. Government information quarterly,2012,29(4),504-511.
[213]Pirog, M. A., & Johnson, C. L. Electronic Funds and Benefits Transfers, E-Government, and the Winter Commission. Public Administration Review, 2008,68(s1), S103-S114.
[214]Poll, R. Performance, Process, and Costs:Managing Service Quality with the Balanced Scorecard. Library trends,2001,49(4),709-17.
[215]Powell, T. C., & Micallef-Dent, A. Information Tehcnology as Competitive Advantage:The Role of Human, Business and Technology Resources. Strategic Management Journal,1997,18(5),375-405.
[216]Rao, B., & Minakakis, L. Evolution of mobile location-based services. Communications of the ACM,2003,46(12),61-65.
[217]Rai, A., Patnayakuni, R., & Seth, N. Frim performance impacts digitally enabled supply chain integaration capabilities. MIS Quarterly,2006,30(2), 225-246.
[218]Ramirez, R., Melville, N., & Lawler, E. Information technology infrastructure, organizational process redesign, and business value:An empirical analysis. Decision Support Systems,2010,49(4),417-429
[219]Ravichandran, T., & Lertwongsatien, C. Effect of information system resources and capabilities on firm performance:a resource-based perspective. Journal of Management Information Systems,2005,21 (4),237-276.
[220]Ray, G., Barney, J. B., & Muhanna, W. A. Capabilities, business processes, and competitive advantage:choosing the dependent variable in empirical tests of the resource-based view. Strategic management Journal,2004,25(1), 23-37.
[221]Ray, G., Muhanna, W. A., & Barney, J. B. Information technology and the performance of the customer service process:A resource-based analysis. MIS Quarterly,2005,29(4),625-652.
[222]Reddick, C. G., & Turner, M. Channel choice and public service delivery in Canada:Comparing e-government to traditional service delivery. Government Information Quarterly,2012,29(1),1-11.
[223]Reichenbach, M., Damker, H., Federrath, H., & Rannenberg, K. Individual management of personal reachability in mobile communication.1997.
[224]Reuver, M., Ongena, G., & Bouwman, H. Should mobile Internet be an extension to the fixed web? Fixed-mobile reinforcement as mediator between context of use and future use. Telematics and Informatics, 2013, 30(2), 111-120.
[225]Robey, D. Designing Organization, second ed. Irwin, Homewood, IL,1986.
[226]Roepke, R., Agarwal, R., & Ferratt, T. W. Aligning the IT human resource with business vision:the leadership initiative at 3M. MIS Quarterly, 2000, 24(2),327-353.
[227]Ross, J. W., Beath, C. M., & Goodhue, D. L. Develop Long-Term Competitiveness through IT Assets. Sloan Management Review, 1996,38(1), 31-42.
[228]Rousseau, D. M. The construction of climate in organizational research.1988, p.154.
[229]Royal Pingdom. Internet 2012 in number. http://royal.pingdom.corn/2013/01/16/internet-2012-in-numbers/
[230]Saarijarvi, H., Mitronen, L., & Yrjola, M. From selling to supporting leveraging mobile services in the context of food retailing. Journal of Retailing and Consumer Services,2014,21(1),26-36.
[231]Salvato, C., & Rerup, C. Beyond collective entities:Multilevel research on organizational routines and capabilities. Journal of Management,2011,37(2), 468-490.
[232]Salanova, M., Agut, S., & Peiro, J. M. Linking organizational resources and work engagement to employee performance and customer loyalty: the mediation of service climate. Journal of applied Psychology, 2005, 90(6), 1217.
[233]Sambamurthy, V., & Zmud, R. W. IT Management Competency Assessment: A Tool for Creating Business Value through IT. Financial Executives Research Foundation, Morristown, NJ,1994.
[234]Santos, J. e-Service quality:A model of virtual service quality dimensions. Managing Service Quality,2003,13(3),233-246.
[235]Schneider, B., & Bowen, D. Employee and customer perceptions of service in banks:Replication and extension. Journal of Applied Psychology, 1985,70(3), 423-433.
[236]Schneider, B., White, S. S., & Paul, M. C. Linking service climate and customer perceptions of service quality:Tests of a causal model. Journal of applied Psychology,1998,83(2),150.
[237]Schneider, B., Wheeler, J. K., & Cox, J. F. A passion for service:using content analysis to explicate service climate themes. Journal of Applied Psychology, 1992,77(5),705-716.
[238]Scholl, H. J. Electronic government: Information management capacity, organizational capabilities, and the sourcing mix. Government Information Quarterly,2006,23(1),73-96.
[239]Schoorman, F., & Schneider, B. E. Facilitating work effectiveness. Lexington Books/DC Heath and Com,1988.
[240]Schreyogg, G., & Kliesch-Eberl, M. How dynamic can organizational capabilities be? Towards a dual-process model of capability dynamization. Strategic Management Journal,2007,28(9),913-933.
[241]Schroeder, R. G., Bates, K. A., & Junttila, M. A. A resource-based view of manufacturing strategy and the relationship to manufacturing performance. Strategic Management Journal,2002,23(2),105-117.
[242]Schultz, F., Utz, S., & Goritz, A. Is the medium the message? Perceptions of and reactions to crisis communication via twitter, blogs and traditional media. Public Relations Review,2011,37(1),20-27.
[243]Setia, P., Sambamurthy, V., & Closs, D. J. Realizing business value of agile IT applications:antecedents in the supply chain networks. Information Technology and Management,2008,9(1),5-19.
[244]Shang, K., & Marlow, P. B. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E:Logistics and Transportation Review,2005,41(3),217-234.
[245]Sharma, S. K., & Gupta, J. N. Web services architecture for m-government: issues and challenges. Electronic Government, an International Journal,2004, 1(4),462-474.
[246]Shin, D. H. User acceptance of Mobile Internet: Implication for convergence technologies. Interacting with Computers,2007,19(4),472-483.
[247]Scholl, H. J. Electronic government: Information management capacity, organizational capabilities, and the sourcing mix. Government Information Quarterly,2006,23(1),73-96.
[248]Sirmon, D. G., Hitt, M. A., & Ireland, R. D. Managing firm resources in dynamic environments to create value:Looking inside the black box. Academy of Management Review,2007,32(1),273-292.
[249]Smith, P. C., & Street, A. Measuring the efficiency of public services:the limits of analysis. Journal of the Royal Statistical Society:Series A (Statistics in Society),2005,168(2),401-417.
[250]Smith, S. Circuits of power: A study of mandated compliance to an information systems security de jure standard in a government organization. MIS Quarterly,2010,34(3),463-486.
[251]Smith, S., Winchester, D., Bunker, D., & Jamieson, R. Circuits of power: a study of mandated compliance to an information systems security de jure standard in a government organization. MIS Quarterly,2010,34(3),463-486.
[252]Song, G., & Cornford, T. Mobile government:towards a service paradigm. Proceedings of the 2nd International Conference on e-Government, University of Pittsburgh, USA.2006,208-218.
[253]Steyaert, J. C. Measuring the performance of electronic government services. Information & Management,2004,41(3),369-375.
[254]Stieglitz, S., & Dang-Xuan, L. Emotions and Information Diffusion in Social Media-Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems,2013,29(4),217-248.
[255]Subramani, M. How do suppliers benefit from information technology use in supply chain relationships?. MIS Quarterly,2004,28(1),45-73.
[256]Tan, C. W., & Pan, S. L. Managing e-transformation in the public sector: an e-government study of the Inland Revenue Authority of Singapore (IRAS). European Journal of Information Systems,2003,12(4),269-281.
[257]Tan, F. B., & Chou, J. P. The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. Intl. Journal of Human-Computer Interaction,2008,24(7),649-671.
[258]Taner, B. An Assessment of Quality Consciousness of Service Employees:An Application of Quality Consciousness Index. International Journal of Hospitality & Tourism Administration,2001,2(1),91.
[259]Tarafdar, M., & Gordon, S. R. Understanding the influence of information systems competencies on process innovation:A resource-based view. The Journal of Strategic Information Systems,2007,16(4),353-392.
[260]Tat-Kei Ho A. Reinventing Local Governments and the E-Government Initiative. Public administration review,2002,62(4),434-444.
[261]Taylor, S., & Todd, P. Understanding information technology usage:A test of competing models. Information Systems Research,1995,6(2),144-176.
[262]Teece, D. J. Explicating dynamic capabilities:the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal,2007, 28(13),1319-1350.
[263]Teece, D. J., Pisano, G., & Shuen, A. Dynamic capabilities and strategic management.1997.
[264]Teo, T., Srivastava, S., & Jiang, L. Trust and electronic government success: An empirical study. Journal of Management Information Systems,2008,25(3), 99-132.
[265]Thurmaier, K., & Wood, C. Interlocal Agreements as Overlapping Social Networks:Picket-Fence Regionalism in Metropolitan Kansas City. Public Administration Review,2002,62(5),585-598.
[266]Tracey, M., & Tan, C. Empirical analysis of supplier selection and involvement, customer satisfaction, and firm performance. Supply Chain Management:An International Journal,2001,6(4),174-188.
[267]Trainor, K. J. Relating social media technologies to performance:a capabilities-based perspective. Journal of Personal Selling and Sales Management,2012,32(3),317-331.
[268]Trainor, K. J., Andzulis, J. M., Rapp, A., & Agnihotri, R. Social media technology usage and customer relationship performance:A capabilities-based examination of social CRM. Journal of Business Research, 2013,67(6), 1201-1208.
[269]Traunmuller, R., & Wimmer, M. Directions in e-Government: Processes, portals, knowledge. Database and Expert Systems Applications,2001. Proceedings.12th International Workshop on. IEEE,2001:313-317.
[270]Tronvoll, B., Brown, S. W., Gremler, D. D., & Edvardsson, B. Paradigms in service research. Journal of Service Management,2011,22(5),560-585.
[271]Van de Walle, S., & Bouckaert, G. Public service performance and trust in government:the problem of causality. International Journal of Public Administration,2003,26(8-9),891-913.
[272]Van Dijk, J. A., Peters, O., & Ebbers, W. Explaining the acceptance and use of government Internet services:A multivariate analysis of 2006 survey data in the Netherlands. Government Information Quarterly,2008,25(3),379-399.
[273]Van Riel, A. C. R., Liljander, V., & Jurriens, P. Exploring consumer evaluations of e-services:a portal site. International Journal of Service Industry Management,2001,12(4),359-377.
[274]Varshney, U. Location Management for Mobile Commerce Applications in Wireless Internet Environment. ACM Transactions on Internet Technology. 2003,3(3),236-255.
[275]Varshney, U., & Vettcr, R. Mobile commerce: Framework, applications and networking support. Mobile Networks and Applications,2002,7(3),185-198.
[276]Verbeke, W., Volgering, M., & Hessels, M. Exploring the conceptual expansion within the field of organizational behaviour: Organizational climate and organizational culture. Journal of Management Studies,1998,35(3), 303-329.
[277]Verdegem, P., & Verleye, G. User-centered E-Government in practice:A comprehensive model for measuring user satisfaction. Government Information Quarterly,2009,26(3),487-497.
[278]Wade, M., & Hulland, J. Review:the resource-based view and information systems research:review, extension, and suggestions for future research. MIS Quarterly,2004,28(1),107-142.
[279]Wang, C. L., & Ahmed, P. K. Dynamic capabilities:A review and research agenda. International Journal of Management Reviews,2007,9(1),31-51.
[280]Wang, Y. S., & Liao, Y. W. Assessing e-Government systems success:A validation of the DeLone and McLean model of information systems success. Government Information Quarterly,2008,25(4),717-733.
[281]Wang, Y. S., Lin, H. H., & Luarn, P. Predicting consumer intention to use mobile service. Information Systems Journal,2006,16(2),157-179.
[282]Waters, R. D., & Jamal, J. Y. Tweet, tweet, tweet: A content analysis of nonprofit organizations'Twitter updates. Public Relations Review,2011,37(3), 321-324.
[283]Watts, S., & Henderson, J. C. Innovative IT climates:CIO perspectives. The Journal of Strategic Information Systems,2006,15(2),125-151.
[284]Weerakkody, V., & Dhillon, G. Moving from e-government to t-govrnment: a study of process reengineering challenges in a UK local authority context. International Journal of Electronic Government Research,2008,4(4),1-16.
[285]Wei, J., Bu, B., & Liang, L. Estimating the diffusion models of crisis information in micro blog. Journal of Informetrics,2012,6(4),600-610.
[286]Wernerfelt, B. A resource-based view of the firm. Strategic Management Journal,1984,5(2),171-180.
[287]West, D. Global e-government,2007.2007.
[288]West, D. M. E-Government and the Transformation of Service Delivery and Citizen Attitudes. Public administration review,2004,64(1),15-27.
[289]West, J. Browsing as the killer app explaining the rapid success of Apple's iPhone. Telecommunications Policy,2010,34(5-6),270-286.
[290]Wimmer, M., & Traunmuller, R. Trends in electronic government:managing distributed knowledge. Database and Expert Systems Applications,2000. Proceedings.11th International Workshop on. IEEE.2000,340-345.
[291]Wimmer, M. A., & Traunmuller, R. Perspectives e-government 2020:Results and conclusions from the EC Roadmap 2020 Project. 2008 3rd International Conference on Information and Communication Technologies:From theory to applications.2008, (1-5),174-177
[292]Wu, J., & Lederer, A. A meta-analysis of the role of environment-based voluntariness in information technology acceptance. MIS Quarterly, 2009, 33(2),419-432.
[293]Wu, S. J., Melnyk, S. A., & Flynn, B. B. Operational capabilities:the secret ingredient. Decision Sciences,2010,41(4),721-754.
[294]Xia, Z., Yu, Q., & Wang, L. The Public Crisis Management in Micro-bloging Environment:Take the Case of Dealing with Governmental Affairs via Micro-blogs in Chin. Advances in Computer Science and Engineering. Springer Berlin Heidelberg.2012,627-633.
[295]Xifra, J., & Grau, F. Nanoblogging PR:The discourse on public relations in Twitter. Public Relations Review,2010,36(2),171-174.
[296]Xu, G., & Gutierrez, J. A. An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce. Journal of Electronic Commerce in Organizations.2006,4(3),63-79.
[297]Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. Research Note—Effects of individual self-protection, industry self-regulation, and government regulation on privacy concerns:A study of location-based services. Information Systems Research,2012,23(4),1342-1363.
[298]Yan, A., & Gray, B. Bargaining power, management control, and performance in United States-China joint ventures:a comparative case study. Academy of Management Journal,1994,37(6),1478-1517.
[299]Yang, C. C., Marlow, P. B., & Lu, C. S. Assessing resources, logistics service capabilities, innovation capabilities and the performance of container shipping services in Taiwan. International Journal of Production Economics,2009, 122(1),4-20.
[300]Yang, K., & Holzer, M. The performance-trust link:Implications for performance measurement. Public Administration Review,2006,66(1), 114-126.
[301]Yen, D. C., Wu, C. S., Cheng, F. F., & Huang, Y. W. Determinants of users' intention to adopt wireless technology:An empirical study by integrating TTF with TAM. Computers in Human Behavior.2010,26(5),906-915.
[302]Yin, R. K. Case study research:Design and method. Vol.5. SAGE Publications,2009.
[303]Yuan, Y, Archer, N., Connelly, C.E., & Zheng, W. Identifying the ideal fit between mobile work and mobile work support. Information & Management, 2010,47(3),125-137.
[304]Yuan, Y., & Zhang, J. J. Towards an appropriate business model for m-commerce. International Journal of Mobile Communications.2003,1(1/2), 35-56.
[305]Zavlanos, M. M., & Pappas, G. J. Potential fields for maintaining connectivity of mobile networks. Robotics, IEEE Transactions on,2007,23(4),812-816.
[306]Zhao, M., Droge, C., & Stank, T. P. The effects of logistics capabilities on firm performance:customer-focused versus information-focused capabilities. Journal of Business Logistics,2001,22(2),91-107.
[307]Zheng L. Social media in Chinese government: Drivers, challenges and capabilities. Government Information Quarterly,2013,30(4),369-376.
[308]Zhou, T. An empirical examination of continuance intention of mobile payment services. Decision Support Systems,2013,54(2),1085-1091.
[309]Zhou, T., Lu, Y., & Wang, B. Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior.2010,26 (4),760-767.
[310]Zmijewska, A., Lawrence, D. E., & Steele, D. R. Classifying m-payments-a user-centric model. In Proceedings of the Third International Conference on Mobile Business (ICMB),2004, p.12-13, New York, USA.
[311]艾云.上下级政府间“考核检查”与“应对”过程的组织学分析以A县“计划生育”年终考核为例.社会,2011,31(3),68-87.
[312]毕凌燕,张镇鹏,左文明.基于微博传播信息流的微博效果评价模型及实证研究.情报杂志,2013(7),69-73.
[313]陈昌盛.中国政府公共服务：体制变迁与地区综合评价.北京：中国社会科学出版社,2007,22.
[314]陈晓春,胡扬名.建设以公共利益为导向的服务型政府.光明日报,2005,04-13.
[315]陈奇星.平衡与优化：完善我国公共服务监督体系的思考.中国行政管理,2013(10),18-20.
[316]陈致豫,邓朝华,鲁耀斌.移动服务的分类及采纳模型分析.统计与决策,2007(21),57-60.
[317]崔耀东,周儒荣,廖文和.制造企业信息系统应用水平评价方法.南京理工大学学报,2003,27(1),68-72.
[318]丁辉侠.地方政府提供公共服务的能力与动力分析.河南社会科学,2012,20(9),30-32.
[319]丁锐,胡广伟.政府业务整合水平对电子政务服务能力的影响.情报杂志,2013(7),191-197.
[320]杜杨沁,霍有光,锁志海.政务微博微观社会网络结构实证分析——基于结构洞理论视角.情报杂志,2013,32(5),25-31.
[321]杜治洲,汪玉凯.电子政务与中国公共服务创新.中国行政管理,2007(6),47-50.
[322]杜治州,汪玉凯.电子政务与政府协同管理模式的发展.中共天津市委党校学报,2006,8(2),40-43.
[323]樊博.G2G电子政务协同效率改进的支撑框架研究.图书与情报,2010(5),70-75.
[324]富克斯.服务经济——让顾客价值回到企业舞台中心.北京：中国社会科学出版社,1991.
[325]甘雨婷.移动互联网助推政府网站服务创新.电子政务与社会管理创新研讨会论文集,2011,110-113.
[326]高焕清,汪超,于亚婕.街头官僚问责：逻辑意蕴、即时监督与新媒体工具选择.湖北社会科学,2013(3),24-27.
[327]顾平安.面向公共服务的电子政务流程再造.中国行政管理,2008(9),83-86.
[328]桂万保.政府机构官方微博的传播特征分析——基于新浪微博的个案调查.现代传播,2011(3),159-160.
[329]国脉电子政务网.公共服务借助移动互联大放异彩.2013.11.29. http://www.echinagov.com/gov/csfa/2013/11/29/189510.s html
[330]哈肯.协同学引论.徐锡申等译.北京：原子能出版社,1984,287-288.
[331]韩小威.中国农村基本公共服务供给的制度模式探析.北京：中国社会科学出版社,2012.
[332]何宝宏.从固定互联网到移动互联网.信息通信技术,2010,04(4),54-58.
[333]侯杰泰,温忠麟,成子娟.结构方程模型及其应用.北京：教育科学出版社,2004.
[334]胡广伟,石进,顾日红.人因要素对电子政务服务能力的影响机制研究——领导、团队、下属视角的实证.情报学报,2013,32(4),428-438.
[335]互联网实验室.浙江传媒学院互联网与社会研究中心.2012年—2013年微博发展研究报告.2013年.
[336]黄培伦,尚航标,招丽珠.组织创新、组织能力和组织绩效的关系研究.管理学报,2008.
[337]李怀祖.管理研究方法.西安：西安交通大学出版社,2004,132-134.
[338]李靖华.电子服务的流程再造.科学学研究,2003,21(z1),243-247.
[339]李靖华.政府电子服务流程分析.科技进步与对策,2004,21(9),137-139.
[340]梁新华,颜佳华.政府信息服务流程创新探讨.情报杂志,2011,30(4),161-164.
[341]刘宁雯.中国政务微博研究文献综述.电子政务,2012(06).
[342]刘伟.我国电子政务绩效评估方案的综合研究.中国行政管理,2013,(2)11-15.
[343]刘渊,易凌志.政府门户网站信息服务与用户价值感知——以“中国浙江政府门户网站及其用户服务为例.情报学报,2009,28(3),431-436.
[344]卢福营,孙琼欢.村务监督的制度创新及其绩效——浙江省武义县后陈村村务监督委员会制度调查.社会科学,2006(2),98-107.
[345]卢纹岱.SPSS for Windows统计分析.电子工业出版社,2008.
[346]吕维霞.公众感知政府服务质量影响因素实证研究.国家行政学院学报,2010(5),75-80.
[347]吕维霞,王永贵.服务设计、社会监督对公众感知行政服务质量影响的实证研究.山东社会科学,2010(8),140-145.
[348]吕文.论服务型政府建设中的公务员观念更新.硕士学位论文,湖南大学,2006.
[349]马连杰,胡新丽,张晓莲.论我国电子政务绩效评估体系的构建.湖北社会科学,2005(11),38-40.
[350]马亮.公共服务绩效与公民幸福感：中国地级市的实证研究.中国行政管理,2013(2),104-109.
[351]马庆国.管理统计.北京：科学出版社,2002,137-139.
[352]马卓,孙济庆.基于CRM理论的电子政务公共信息服务研究.情报科学,2007,25(12),1778-1781.
[353]孟华.公共服务绩效目标对服务绩效的影响——以英国萨塞克斯郡警察服务为例.科技管理研究,2006,26(2),57-59.
[354]孟华.推进以公共服务为主要内容的政府绩效评估——从机构绩效评估向公共服务绩效评估的转变.中国行政管理,2009,(2),16-20.
[355]彭欢.移动互联网使用与满足研究.硕士学位论文,湖南师范大学,2012.
[356]彭新敏.企业网络对技术创新绩效的作用机制研究：利用性—探索性学习的中介效应.博士学位论文,浙江大学,2009.
[357]人民网舆情监测室.2013年政务微博、媒体微博发展报告.2013,11.
[358]荣泰生.AMOS与研究方法.重庆：重庆大学出版社,2009,49.
[359]石婧.政务微博与政府公共服务转型研究.编辑之友,2013,(6),74-78.
[360]孙海法,刘运国,方琳.案例研究的方法论.科研管理,2004,25(2),107-112.
[361]唐铁汉.强化政府公共服务职能,努力建设公共服务型政府.中国行政管理,2004(7),9-15.
[362]唐忠义,张英.论我国公共服务监督机制建设的初步探索及基本经验.理论月刊,2013(9).
[363]王春婷,李帆,林志刚.政府购买公共服务绩效结构模型建构与实证检测——基于深圳市与南京市的问卷调查与分析.江苏师范大学学报(哲学社会科学版),2013,39(1),109-115.
[364]王佃利.刘保军.公民满意度与公共服务绩效相关性问题的再审视.山东大学学报(哲学社会科学版),2012(1),109-114.
[365]王欢明,诸大建.基于效率、回应性、公平的公共服务绩效评价——以上海市公共汽车交通的服务绩效为例.软科学.2010,24(7),1-5.
[366]王凯.突发事件下决策者的框架效应研究.博士学位论文,浙江大学,2010.
[367]温忠麟,侯杰泰,张雷.调节效应与中介效应的比较和应用.心理学报,2005,37(2),268-274.
[368]吴明隆.结构方程模型—AMOS实务进阶.重庆：重庆大学出版社,2013,80.
[369]徐刚.纵横优化模式下行政服务流程的逆向度选择——佛山创新经验的启示.华南师范大学学报(社会科学版),2011,(3),121-126.
[370]许冠南.关系嵌入性对技术创新绩效的影响研究.博士学位论文,浙江大学,2008.
[371]杨娟娟,杨兰蓉,曾润喜等.公共安全事件中政务微博网络舆情传播规律研究：基于“上海发布”的实证.情报杂志,2013,(9),11-15,28.
[372]叶常林.信息技术在权力监督中的作用.中国行政管理,2004,(11),46-49.
[373]于小千.公共服务绩效考核理论探索与实践经验.北京：北京理工大学出版社,2008.
[374]张成福,唐钧.电子政务绩效评估：模式比较与实质分析.中国行政管理,2004,(5),21-23.
[375]张钢,牛志江,贺珊等.地方政府公共服务质量评价体系及其应用.浙江大学学报(人文社会科学版),2008,38(6),31-40.
[376]张金娟,张英华.顾客导向的服务流程绩效评价研究.财经问题研究,2011,(12),116-120.
[377]张玲.政务微博的发展瓶颈及其突破——以北京市政务微博为例.北京行政学院学报,2013(4),75-78.
[378]张宁.微传播,微关系：对广东省三个政务微博的考察,现代传播,2013,35(4),111-115.
[379]张若勇,刘新梅,沈力,王海珍.服务氛围与一线员工服务绩效：工作压力和组织认同的调节效应研究.南开管理评论,2009,12(3),4-11.
[380]张若勇,刘新梅,王海珍.服务氛围对顾客知识获取影响路径的实证研究.科学学研究,2008,26(2),350-357.
[381]张颖瑶.政府网站协同服务和信息资源整合的评价研究.硕士学位论文,广东工业大学,2009.
[382]郑巧,肖文涛.协同治理：服务型政府的治道逻辑.中国行政管理,2008,(7),48-53.
[383]中国互联网研究中心(CNNIC).中国移动互联网发展状况报告,2013a.
[384]中国互联网研究中心(CNNIC).2012年中国农村互联网发展状况调查报告,2013b.
[385]中国互联网研究中心(CNNIC).第33次中国互联网络发展状况统计报告,2014.
[386]中国软件评测中心.2008年中国政府网站绩效评估指标体系解读.电子政务,2008,(7),80-85.
[387]种晓丽.基于消费者价值的移动服务定价模型研究.博士学位论文,华中科技大学,2012.
[388]周光辉,殷冬水.“社会公正与政府责任”国际学术研讨会综述.中国行政管理,2006,(12),102.
[389]卓越.公共部门绩效评估.中国人民大学出版社,2004,32.
[2]AGIMO. Service Delivery Capability Model [EB/OL]. Available at: http://www.finance. gov.au/publicati ons/delivering-australian-government-serv ices-service-delivery-capability-model/index.html,2006.
[3]Aker, J., & Mbiti, I. Mobile phones and economic development in Africa. Center for Global Development Working Paper,2010,211.
[4]Akiyoshi, M., & Ono, H. The diffusion of mobile Internet in Japan. The Information Society,2008,24(5),292-303.
[5]Akkawi, A., Schaller, S., Wellnitz, O., & Wolf, L. A mobile gaming platform for the IMS. Proceedings of 3rd ACM SIGCOMM workshop on Network and system support for games. ACM,2004,77-84.
[6]Aladwani, A. M. A cross-cultural comparison of Kuwaiti and British citizens' views of e-government interface quality. Government Information Quarterly, 2013,30(1),74-86.
[7]Amichai-Hamburger, Y. Potential and promise of online volunteering. Computers in Human Behavior,2008,24(2),544-562.
[8]Amit, R., & Schoemaker, P. J. Strategic assets and organizational rent. Strategic Management Journal,1993,14(1),33-46.
[9]Andrews, R., & Boyne, G. Corporate capacity and public service performance. Public Administration,2011,89(3),894-908
[10]Andrews, R., Boyne, G. A., Law, J., & Walker, R. M. Organizational strategy, external regulation and public service performance. Public administration, 2008,86(1),185-203.
[11]Andrews, R., Boyne, G., Law, J., & Walker, R. Centralization, organizational strategy, and public service performance. Journal of Public Administration Research and Theory,2009,19(1),57-80.
[12]Andrews, R., Boyne, G., Moon, M. J., & Walker, R. Assessing organizational performance:Exploring differences between internal and external measures. International Public Management Journal,2010,13(2),105-129.
[13]Andrews, R., Boyne, G., & Walker, R. The impact of management on administrative and survey measures of organizational performance. Public Management Review,2011,13(2),227-255.
[14]Andrews, R., & Entwistle, T. Does cross-sectoral partnership deliver? An empirical exploration of public service effectiveness, efficiency, and equity. Journal of Public Administration Research and Theory,2010,20(3),679-701.
[15]Anthopoulos, L., Siozos, P., & Tsoukalas, I. Applying participatory design and collaboration in digital public services for discovering and re-designing e-Government services, Government Information Quarterly,2007,24(2), 353-376.
[16]Au, Y. A., & Kauffman, R. J. The economics of mobile payments: Understanding stakeholder issues for an emerging financial technology application. Electronic Commerce Research and Applications,2008,7(2), 141-164.
[17]Augier, M., & Teece, D. J. Strategy as evolution with design:The foundations of dynamic capabilities and the role of managers in the economic system. Organization Studies,2008,29(8-9),1187-1208.
[18]Baker, D. L. Advancing E-Government performance in the United States through enhanced usability benchmarks. Government Information Quarterly, 2009,26(1),82-88.
[19]Banker, R. D., Bardhan, I. R., Chang, H., & Lin, S. Plant information systems, manufacturing capabilities, and plant performance. MIS Quarterly,2006, 30(2),315-337.
[20]Barnes, S. J., & Vidgen, R. T. Data triangulation and web quality metrics:A case study in e-government. Information & Management,2006,43(6), 767-777.
[21]Barney, J. Firm resources and sustained competitive advantage. Journal of Management,1991,17(1),99-120.
[22]Basole, R. C. The value and impact of mobile information and communication technologies. Proceedings of the 2004 IFAC Symposium, Atlanta, GA,2004.
[23]Bazzoli, G. J., Stein, R., Alexander, J. A., Conrad, D. A., Sofaer, S., & Shortell, S. M. Public-private collaboration in health and human service delivery: Evidence from community partnerships. Milbank Quarterly, 1997, 75(4), 533-561.
[24]Bernardin, H. J., & Beatty, R. W. Performance appraisal:Assessing human behavior at work. Boston:Kent Publishing Company.1984.
[25]Bertot, J. C., Jaeger, P. T., & Grimes, J. M. Using ICTs to create a culture of transparency:E-government and social media as openness and anti-corruption tools for societies. Government Information Quarterly,2010,27(3),264-271.
[26]Bertot, J. C., Jaeger, P. T., & Hansen, D. The impact of polices on government social media usage:Issues, challenges, and recommendations. Government Information Quarterly,2012,29(1),30-40.
[27]Bharadwaj, A. S. A Resource-Based Perspective on Information Technology Capability and Firm Performance:An Empirical Investigation. MIS Quarterly, 2000,24(1),169-196.
[28]Blazevic, V., & Lievens, A. Learning during the new financial service innovation process:antecedents and performance effects. Journal of Business Research,2004,57(4),374-391.
[29]Boyd, D., Golder, S., & lotan, g. Tweet, tweet, retweet: Conversational aspects of retweeting on Twitter. In R.h. Sprague (ed.), Proceedings of the 43rd Annual Hawaii International Conference on System Sciences. Los Alamitos, CA:IEEE Computer Society,2010.
[30]Boyne, G. A., & Meier, K. J. Environmental turbulence, organizational stability, and public service performance. Administration & Society,2009, 40(8),799-824.
[31]Bouwman, H., Bejar, A., & Nikou, S. Mobile services put in context: A Q-sort analysis. Telematics and Informatics,2012,29(1),66-81.
[32]Brown, T. L., Potoski, M., & Van Slyke, D. M. Managing public service contracts:Aligning values, institutions, and markets. Public Administration Review,2006,66(3),323-331.
[33]Buchanan, J. M., & Tollison, R. D. (Eds.). The Theory of Public Choice:Ⅱ. Michigan:University of Michigan Press.1984.
[34]Buchholz, T., Hochstatter, I., & Linnhoff-Popien, C. Distribution strategies for the contextualized mobile Internet. Electronic Commerce Research and Applications,2007,6(1),40-52.
[35]Bunker, D. R., & Wijnberg, M. H. Supervision and performance:Managing professional work in human service organizations. Jossey-Bass.1988.
[36]Burke, R. J. Supervision and service quality. Measuring Business Excellence, 2001,5(4),28-31.
[37]Byrd, T. A., Pitts, J. P., Adrian, A. M., & Davidson, N. W. Examination of a path model relating information technology infrastructure with firm performance. Journal of Business Logistics,2008,29(2),161-187.
[38]Calsyn, R. J., & Roades, L. A. Predicting perceived service need, service awareness, and service utilization. Journal of Gerontological Social Work, 1994,21(1-2),59-76.
[39]Canibano, C., Encinar, M. I., & Munoz, F. F. Evolving capabilities and innovative intentionality: Some reflections on the role of intention within innovation processes. INNOVATION:management, policy & practice,2006, 8(4-5),310-321.
[40]Carter, L., & Belanger, F. The utilization of e-government services:citizen trust, innovation and acceptance factors. Information Systems Journal,2005, 15(1),5-25.
[41]Chan, Y. E., & Reich, B. H. IT alignment:what have we learned? Journal of Information Technology,2007,22(4),297-315.
[42]Chang, H. L., Lin, J. R., Wang, K., Hsu, C., & Tai, J. C. The Design of the Mobile Service: Fit between Mobility and Customer Variability. System Science (HICSS),45th Hawaii International Conference on. IEEE,2012, 1383-1392.
[43]Chatfield, A. T., & Alhujran, O. A cross-country comparative analysis of e-government service delivery among Arab countries. Information Technology for Development,2009,15(3),151-170.
[44]Chen, C. W. Impact of quality antecedents on taxpayer satisfaction with online tax-filing systems-An empirical study. Information & Management,2010, 47(5),308-315.
[45]Chen, G. M. Tweet this:A uses and gratifications perspective on how active Twitter use gratifies a need to connect with others. Computers in Human Behavior,2011,27(2),755-762.
[46]Chen, J. S., & Tsou, H. T. Performance effects of IT capability, service process innovation, and the mediating role of customer service. Journal of Engineering and Technology Management,2012,29(1),71-94.
[47]Chen, L. D. A model of consumer acceptance of mobile payment. International Journal of Mobile Communications,2008,6 (1),32-52.
[48]Choi, H., Kim, Y., & Kim, J. Driving factors of post adoption behavior in mobile data services. Journal of Business Research,2011,64(11),1212-1217.
[49]Clark, K. B. Competing through manufacturing and the new manufacturing paradigm:is manufacturing strategy passe?. Production and Operations Management,1996,5(1),42-58.
[50]Clarke, I. Emerging value propositions for M-commerce. Journal of Business Strategies,2001,18(2),133-149
[51]Clemons, E. K., & Row, M. C. Susaining IT Advantage:the Role of Structural Differences. MIS Quarterly,1991,15(3),275-292.
[52]Collis, D. J. Research note:how valuable are organizational capabilities?. Strategic Management Journal,1994,15(S1),143-152.
[53]Daly, J. L. Implications of organizational climate and ethical leadership on reengineering in municipal government. Public Administration Quarterly, 2002,198-217.
[54]Damanpour, F. The adoption of technological, administrative and ancillary innovations-impact of organizational factors. Journal of Management,1987, 13(4),675-688
[55]Davenport, T. H. Process innovation:reengineering work through information technology. Boston:Harvard Business Press.1993.
[56]Davis, F. Perceived usefulness, perceived case of use, and user acceptance of information technology. MIS Quarterly,1989,13(3),319-340.
[57]Davis, J. Corruption in public service delivery: Experience from South Asia's water and sanitation sector. World Development,2004,32(1),53-71.
[58]Dawes, S. S. The evolution and continuing challenges of e-governance. Public Administration Review,2008,68(s1), S86-S102.
[59]Dawes, S. S., Bloniarz, P. A., Kelly, K. L., & Fletcher, P. D. Some assembly required:building a digital government for the 21st Century, Center for Technology in Government, University at Albany, SUNX.1999.
[60]De Jong, A., De Ruyter, K., & Lemmink, J. Antecedents and consequences of the service climate in boundary-spanning self-managing service teams. Journal of Marketing,2004,18-35.
[61]Denhardt, R. B., & Denhardt, J. V. The new public service:Serving rather than steering. Public administration review,2000,60(6),549-559.
[62]deSanctis, G., & Poole, M. S. Capturing the complexity in advanced technology use:Adaptive structuration theory. Organization Science,1994, 5(2),121-147
[63]Dess, G. G., & Robinson, R. B. Measuring organizational performance in the absence of objective measures: The case of the privately-held firm and conglomerate business unit. Strategic Management Journal,1984,5(3), 265-273.
[64]Devadoss, P. R., Pan, S. L., & Huang, J. C. Structurational analysis of e-government initiatives:a case study of SCO. Decision support systems, 2003,34(3),253-269.
[65]Dias, G. P., & Rafael, J. A. A simple model and a distributed architecture for re-alizing one-stop e-government. Electronic Commerce Research and Applications,2007,6(1),81-90.
[66]Ding, L., Velicer, W. F., & Harlow, L. L. Effects of estimation methods, number of indicators per factor, and improper solutions on structural equation modeling fit indices. Structural Equation Modeling:A Multidisciplinary Journal,1995,2(2):119-143.
[67]Ding, X., Ijima, J., & Ho, S. Unique features of mobile commerce. Tokyo 152-8552, Japan:Graduate School of Decision Science and Technology,2004, TITECH.
[68]Djellal, F., Gallouj, F., & Miles, I. Two decades of research on innovation in services:Which place for public services? Structural Change and Economic Dynamics,2013.
[69]Dorling, A. SPICE:Software process improvement and capability determination. Software Quality Journal,1993,2(4),209-224.
[70]Dutta, S., Narasimhan, O. M., & Rajiv, S. Conceptualizing and measuring capabilities:methodology and empirical application. Strategic Management Journal,2005,26(3),277-285.
[71]Edvardsson, B., Tronvoll, B., & Gruber, T. Expanding understanding of service exchange and value co-creation:a social construction approach. Journal of the Academy of Marketing Science,2011,39(2),327-339.
[72]Eisenhardt, K. M. Building theories from case study research. Academy of management review,1989,532-550.
[73]Eisenhardt, K. M., & Graebner, M. E. Theory building from cases: opportunities and challenges. Academy of management journal,2007,50(1), 25-32.
[74]Eisenhardt, K., & Martin, J. Dynamic capabilities:what are they? Strategic Management Journal,2000,21(10-11),1105-1121.
[75]Elbashir, M. Z., Collier, P. A., & Sutton, S. G. The role of organizational absorptive capacity in strategic use of business intelligence to support integrated management control systems. The Accounting Review,2011,86(1), 155-184.
[76]Ethiraj, S. K., Kale, P., Krishnan, M. S., & Singh, J. V. Where do capabilities come from and how do they matter? A study in the software services industry. Strategic Management Journal,2005,26(1),25-45.
[77]Fedorowicz, J., Gelinas, J., Gogan, J., & Williams, C., Strategic alignment of participant motivations in e-government collaborations:The Internet Payment Platform pilot, Government Information Quarterly,2009,26(1),51-59
[78]Feeny, D. F., & Willcocks, L. P. Core IS capabilities for exploiting information technology. Sloan Management Review.1998,39(3),9-21.
[79]Gareis, K. Towards user-centered E-Govrnment. Understanding potential demand for online public services. Paper presented at the Telecities and MUTEIS conference'Urban impacts of the information society:Facts, fiction and policies', March 17-19,2004, The Hague (2004)
[80]Garnett, J. L., Marlowe, J., & Pandey, S. K. Penetrating the performance predicament:communication as a mediator or moderator of organizational culture's impact on public organizational performance. Public Administration Review,2008,68(2),266-281.
[81]Gebauer, J., & M. J. Shaw. Success factors and impacts of mobile business applications:Results from a mobile e-procurement study. International Journal of Electronic Commerce.2004,8 (3),19-41.
[82]Gebauer, J., Shaw, M. J., & Gribbins, M. L. Task-technology fit for mobile information systems. Journal of Information Technology, 2010, 25(3), 259-272.
[83]Gefen, D., Karahanna, E., & Straub, D.W. Trust and TAM in online shopping: an integrated model. MIS Quarterly,2003,27(1),51-90.
[84]Gerpott, T. Attribute perceptions as factors explaining Mobile Internet acceptance of cellular customers in Germany-An empirical study comparing actual and potential adopters with distinct categories of access appliances. Expert Systems with Applications,2011,38(3),2148-2162.
[85]Ghiselli, E. E., Campbel 1, J. P., & Zedeck, S. Measurement theory for the behavioral sciences. San Francisco:Freeman,1981.
[86]Ghyasi, A. F., & Kushchu, I. M-Government:cases of developing countries. M-GovLab, Intl. Univ. of Japan.2009.09.19.
[87]Gil-Garcia, J. R., & Martinez-Moyano, I. J. Understanding the evolution of e-government:The influence of systems of rules on public sector dynamics. Government Information Quarterly,2007,24(2),266-290.
[88]Glisson, C., & Hemmelgarn, A. The effects of organizational climate and interorganizational coordination on the quality and outcomes of children's service systems. Child Abuse & Neglect,1998,22(5),401-421.
[89]Glisson, C., & James, L. R. The cross-level effects of culture and climate in human service teams. Journal of Organizational Behavior, 2002, 23(6), 767-794.
[90]Gorsuch, R. L. Factor analysis (2nd ed.). Hillsdale, NJ:Erlbaum,1983.
[91]Grizzle, G. A. Measuring state and local government performance:Issues to resolve before implementing a performance measurement system. State & Local Government Review,1982,132-136.
[92]Golbeck, J., Grimes, J. M., & Rogers, A. Twitter use by the U.S. Congress. Journal of the American Society for Information Science and Technology, 2010,61(8),1612-1621.
[93]Gorsuch, R. L., & Ortberg, J. Moral obligation and attitudes: Their relation to behavioral intentions. Journal of Personality and Social Psychology, 1983, 44(5),1025.
[94]Gouscos, D., Kalikakis, M., Legal, M., & Papadopoulou, S. A general model of peformance and quality for one-stop e-govemment service offerings. Government Information Quarterly,2007,24(4),860-885.
[95]Grajek, M. Estimating network effects and compatibility: Evidence from the Polish mobile market. Information Economics and Policy, 2010, 22(2), 130-143.
[96]Grant, R. M. Prospering in dynamically-competitive environments: organizational capability as knowledge integration. Organization science, 1996,7(4),375-387.
[97]Grewal, R., & Slotegraaf, R. J. Embeddedness of organizational capabilities. Decision Sciences,2007,38(3),451-488.
[98]Grimsley, M., & Meehan, A. e-Government information systems: Evaluation-led design for public value and client trust. European Journal of Information Systems,2007,16(2),134-148.
[99]Gronroos, C. Service logic revisited:who creates value? And who co-creates? European Business Review,2008,20(4),298-314.
[100]Gummerus, J., & Pihlstrom, M. Context and mobile services'value-in-use. Journal of Retailing and Consumer Services,2011,18(6),521-533.
[101]Gupta, M. P., & Jana, D. E-government evaluation:A framework and case study. Government Information Quarterly,2003,20(4),365-387.
[102]Hackney, R., Jones, S., & Losch, A. Towards an e-Government efficiency agenda: the impact of information and communication behaviour on e-Reverse auctions in public sector procurement. European Journal of Information Systems,2007,16(2),178-191.
[103]Hatcher, L. A step-by-step approach to using the SAS system for factor analysis and structural equation model ing. Cary, NC:SAS Publishing, 1994.
[104]Hillman, B. Factions and spoils:examining political behavior within the local state in China.The China Journal,2010(64),1-18.
[105]Hoggett, P. Conflict, ambivalence, and the contested purpose of public organizations. Human Relations,2006,59(2),175-194.
[106]Hong, S. J., & Tam, K. Y. Understanding the adoption of multipurpose information appliances:the case of mobile data services. Information systems research,2006,17(2),162-179.
[107]Hsu, C. L., Lu, H. P., & Hsu, H. H. Adoption of the mobile Internet:An empirical study of multimedia message service (MMS). Omega,2007,35(6), 715-726.
[108]Hu, G., Shi, J., Pan, W., & Wang, J. A hierarchical model of e-government service capability: An empirical analysis. Government Information Quarterly, 2012,29(4),564-572.
[109]Hu, G., Zhong, W., & Mei, S. Electronic Public Service (EPS) and its implementation in Chinese local governments. International Journal of Electronic Governance,2008,1(2),118-138.
[110]Hu, P. J., Clark, T. H. K., & Ma, W. W. Examining technology acceptance by school teachers:a longitudinal study. Information & Management,2003,41(2), 227-241.
[111]Huang, J. H., Lin, Y. R., & Chuang, S. T. Elucidating user behavior of mobile learning:A perspective of the extended technology acceptance model. Electronic Library,2007,25(5),585-598.
[112]Huang, M. L., Chen, K. S., & Hung, Y. H. Integrated process capability analysis with an application in backlight module. Microelectronics Reliability, 2002,42(12),2009-2014.
[113]Huang, S. H., Chang, C. M., & Kuo, S. R. User acceptance of mobile e-government services:An empirical study. Government Information Quarterly,2013,30(1),33-44.
[114]Hung, S. Y., Chang, C. M., & Yu, T. J. Determinants of user acceptance of the e-Government services:The case of online tax filing and payment system. Government Information Quarterly,2006,23(1),97-122.
[115]Hwang, Y., & Kim, D. J. Customer self-service systems:the effects of perceived web quality with service contents on enjoyment, anxiety, and e-trust. Decision Support Systems,2007,43(3),746-760.
[116]Iacovou, C. L., Benbasat, I., & Dexter, A. S. Electronic data interchange and small organizations:adoption and impact of technology. MIS Quarterly, 1995, 465-485.
[117]Irani, Z., Love, P. E. D., Elliman, T., Jones, S., & Themistocelous, M. Evaluating e-Government:Learning from the experiences of two UK local authorities. Information Systems Journal,2005,15(1),61-82.
[118]Isik, O., Jones, M. C., & Sidorova, A. Business intelligence success:The roles of BI capabilities and decision environments. Information & Management, 2013,50(1),13-23.
[119]Jaeger, P. T., & Thompson, K. M. Social information behavior and the democratic process:Information poverty, normative behavior, and electronic government in the United States. Library and Information Science Research, 2004,26(1),94-107
[120]James, L. R., James, L. A., & Ashe, D. K. The meaning of organizations:the role of cognition and values. In B. Schneider (Ed.), Organizational climate and culture. San Fransisco:Jossey-Bass.1990,40-84.
[121]James, L. R., & Jones, A. E. Organizational Climate:A Review of Theory and Research. Psychological Bulletin,1974,81(12),1096-1112.
[122]Java, A., Song, X., Finin, T., & Tseng, B. Why we twitter:understanding microblogging usage and communities. Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis. ACM,2007,56-65.
[123]Jia, R., & Reich, B. H. IT service climate, antecedents and IT service quality outcomes:Some initial evidence. The Journal of Strategic Information Systems.2013,22(1),51-69
[124]Jiang, Z., Chan, J., Tan, B., & Chua, W. S. Effects of interactivity on website involvement and purchase intention. Journal of the Association for Information Systems,2010,11(1),34-59.
[125]Jih, W. J. Effects of consumer-perceived convenience on shopping intention in mobile commerce:an empirical study. International Journal of E-Business Research,2007,3(4),33-48.
[126]Jung, J. Y. Where do you go online? A comparison of Internet connectedness via personal computers and mobile phones in Japan. International Journal of Mobile Communications,2009,7(1),21-35.
[127]Junglas, I., Abraham, C., & Watson, R. T. Task-technology fit for mobile locatable information systems. Decision Support Systems,2008,45(4), 1046-1057.
[128]Kaisara, G., & Pather, S. The e-Government evaluation challenge:A South African Batho Pele-aligned service quality approach. Government Information Quarterly,2011,28(2),211-221
[129]Kakihara, M., & Sorensen, C. Expanding the 'mobility' concept. ACM SIG Group bulletin,2001,22(3),33-37.
[130]Kane, V. E. Process capability indices. Journal of Quality Technology,1986, 18(1),41-52.
[131]Kaplan, A. M., & Haenlein, M. The early bird catches the news: Nine things you should know about micro-blogging. Business Horizons,2011,54(2), 105-113.
[132]Kaya, I., & Kahraman, C. Fuzzy robust process capability indices for risk assessment of air pollution. Stochastic Environmental Research and Risk Assessment,2009,23(4),529-541.
[133]Kaylor, C., Deshazo, R., & Eck, D. V. Gauging e-government: A report on implementing services among American cities. Government Information Quarterly,2001,18(4),293-307.
[134]Kilminster, S. M., & Jolly, B. C. Effective supervision in clinical practice settings:a literature review. Medical education,2000,34(10),827-840.
[135]Kim, C., Mirusmonov, M., & Lee, I. An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior,2010,26(3),310-322.
[136]Kim, H. W., Chan, H. C., & Gupta, S. Value-based adoption of Mobile Internet: An empirical investigation. Decision Support Systems,2007,43(1),111-126.
[137]Kim, S., & Lee, J. E-Participation, Transparency, and Trust in Local Government. Public Administration Review,2012,72(6),819-828.
[138]Kim, Y., Yoon, J., Park, S., & Han, J. Architecture for implementing the mobile government services in Korea. Conceptual Modeling for Advanced Application Domains. Springer Berlin Heidelberg,2004,601-612.
[139]King, S. F. Citizens as customers:Exploring the future of CRM in UK local government. Government Information Quarterly,2007,24(1),47-63.
[140]Kristoffersen, S., & Ljungberg, F. "Making place" to make IT work:empirical explorations of HCI for mobile CSCW. Proceedings of the international ACM SIGGROUP conference on supporting group work. ACM,1999,276-285.
[141]Kunstelj, M., Jukic, T., & Vintar, M. Analysing the demand side of E-Government:What can we learn from Slovenian users? Lecture Notes in Computer Science,2007,305-317
[142]Kuo, Y. F., & Chen, P. C. Selection of mobile value-added services for system operators using fuzzy synthetic evaluation. Expert Systems with Applications. 2006,30(4),612-620.
[143]Kyvik, S., & Smeby, J. C. Teaching and research. The relationship between the supervision of graduate students and faculty research performance. Higher Education,1994,28(2),227-239.
[144]Ladhari, R. Developing e-service quality scales:A literature review. Journal of Retailing and Consumer Services,2010,17(6),464-477.
[145]Lai, K. Service capability and performance of logistics service providers. Transportation Research Part E:Logistics and Transportation Review,2004, 40(5),385-399.
[146]Layne, K., & Lee, J. Developing fully functional E-government:A four stage model. Government Information Quarterly,2001,18(2),122-136.
[147]Lee, G., & Kwak, Y. H. An Open Government Maturity Model for social media-based public engagement. Government Information Quarterly,2012, 29(4),492-503.
[148]Lee, I., Choi, B., Kim, J., & Hong, S. J. Culture-technology fit:effects of cultural characteristics on the post-adoption beliefs of mobile internet users. International Journal of Electronic Commerce,2007,11(4),11-51.
[149]Lee, K. C., & Chung, N. Understanding factors affecting trust in and satisfaction with mobile banking in Korea:A modified DeLone and McLean's model perspective. Interacting with computers,2009,21(5),385-392.
[150]Lee, S. M., Tan, X., & Trimi, S. Current practices of leading e-government countries. Communications of the ACM,2005,48(10),99-104.
[151]Lee, Y., & Kozar, K. A. An empirical investigation of anti-spyware software adoption:a multitheoretical perspective. Information & Management,2008, 45(2),109-119
[152]Lee, Y. K., Park, J. H., Chung, N., & Blakeney, A. A unified perspective on the factors influencing usage intention toward mobile financial services. Journal of Business Research,2012,65(11),1590-1599.
[153]Leem, C. S., Suh, H. S., & Kim, D. S. A classification of mobile business models and its applications. Industrial Management & Data Systems.2004, 104(1/2),78-87.
[154]Lenk, K., & Traunmuller, R. A framework for electronic government. Database and Expert Systems Applications,2000. Proceedings.11th International Workshop on. IEEE,2000,271-277.
[155]Lin, W. Y., Zhang, X., Jung, J. Y., & Kim, Y. C. From the wired to wireless generation? Investigating teens'Internet use through the mobile phone. Telecommunications Policy,2013,37(8),651-661.
[156]Linck, K., Pousttchi, K., & Wiedemann, D. G. Security issues in mobile payment from the customer viewpoint. In Proceedings of the 14th European Conference on Information Systems (ECIS 2006). Goteborg.2006,1-11.
[157]Lindgren, I., & Jansson, G. Electronic services in the public sector: A conceptual framework. Government Information Quarterly, 2013,30(2), 163-172.
[158]Lips, M. Reorganizing public service deliver in an information age, in Ignace Snellen, Wim van de Donk (eds.). Public Administration in an Informalion Age:A Handbook, IOS Press,1998,325-339.
[159]Liu, Y., & Li, H. Exploring the impact of use context on mobile hedonic services adoption:An empirical study on mobile gaming in China. Computers in Human Behavior,2011,27(2),890-898.
[160]Lu, J., Yao, J. E., & Yu, C. S. Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems,2005,14(3),245-268.
[161]Lu, Y., & Ramamurthy, K. Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly,2011,35(4),931-954.
[162]Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. Dynamics between the trust transfer process and intention to use mobile payment services:A cross-environment perspective. Information & Management,2011,48(8),393-403.
[163]Luo, X., Li, H., Zhang, J., & Shim, J. P. Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies:An empirical study of mobile banking services. Decision Support Systems,2010, 49(2),222-234.
[164]Lyytinen, K., & Robey, D. Learning failure in information systems development. Information Systems Journal,1999,9(2),85-101.
[165]Ma, D., Wang, Q., Xu, Z., Liang, W., & Chen, G. Research on the Evaluation of E-Governemnt Service Quality. International Conference on Wireless Communications, Networking and Mobile Computing,2008.
[166]Ma, L. The diffusion of government microblogging:evidence from Chinese municipal police bureaus. Public Management Review,2013,15(2),288-309.
[167]Ma, L., Chung, J., & Thorson, S. E-government in China:Bringing economic development through administrative reform. Government Information Quarterly,2005,22(1),20-37.
[168]Madjar, N. The contributions of different groups of individuals to employees' creativity. Advances in Developing Human Resources,2005,7(2),182-206.
[169]Mallat, N. Exploring consumer adoption of mobile payments-a qualitative study. The Journal of Strategic Information Systems,2007,16(4),413-432.
[170]Mallat, N., Rossi, M., & Tuunainen, V. K. Mobile banking services. Communications of the ACM,2004,47(5),42-46.
[171]Mallat, N., Rossi, M., Tuunainen, V. K., & Oorni, A. The impact of use context on mobile services acceptance:The case of mobile ticketing. Information & Management,2009,46(3),190-195.
[172]Mani, D., Barua, A., & Whinston, A. B. An Empirical Analysis of the Impact of Information Capabilities Design on Business Process Outsourcing Performance. MIS Quarterly,2010,34(1),39-62.
[173]Mata, F. J., Fuerst, W. L., & Barney, J. B. Information Techonology and Sustained Competitive Advantage:A Resource-Based Analysis. MIS Quarterly, 1995,19(4),487-505.
[174]McMullen, S. US government information:selected current issues in public access vs. private competition. Journal of Government Information,2000, 27(5),581-593.
[175]McNaughton, B., Ray, P., & Lewis, L. Designing an evaluation framework for IT service management. Information Management,2010,47(4),219-225.
[176]Meeker, M., & Wu, L.2013 Internet trends. KPCB,2013.
[177]Melkers, J., & Willoughby, K. Models of Performance-Measurement Use in Local Governments:Understanding Budgeting, Communication, and Lasting Effects. Public Administration Review,2005,65(2),180-190.
[178]Melville, N., Kraemer, K., & Gurbaxani, V. Review:Information technology and organizational performance:An integrative model of IT business value. MIS Quarterly,2004,28(2),283-322.
[179]Menor, L. J., Kristal, M. M., & Rosenzweig, E. D. Examining the influence of operational intellectual capital on capabilities and performance. Manufacturing & Service Operations Management,2007,9(4),559-578.
[180]Meo, D. P., Quattrone, G., & Ursino, D. A multiagent system for assisting citizens in their search of e-government services. Systems, Man, and Cybernetics, Part C:Applications and Reviews, IEEE Transactions on,2008, 38(5),686-698.
[181]Mishra, A. N., Devaraj, S., & Vaidyanathan, G. Capability hierarchy in electronic procurement and procurement process performance:An empirical analysis. Journal of Operations Management,2013,31(6),376-390.
[182]Moon, M. J. The Evolution of E-Government among Municipalities: Rhetoric or Reality? Public administration review,2002,62(4),424-433.
[183]Montoya, M., Massey, A., & Khatri, V. Connecting IT services operations to services marketing practices. Journal of Management Information Systems, 2010,26(4),65-85.
[184]Moran, E. T., & Volkwein, J. F. The cultural approach to the formation of organizational climate. Human relations,1992,45(1),19-47.
[185]Morgeson, F. V., & Mithas, S. Does E-Government Measure Up to E-Business? Comparing End User Perceptions of US Federal Government and E-Business Web Sites. Public Administration Review,2009,69(4),740-752.
[186]M-Taiwan. Mobile Taiwan applications promotion program. http://www.mtaiwan.org.tw/cht/index.php (2010)
[187]Nelson, R. R., Todd, P. A., & Wixom, B. H. Antecedents of information and system quality: an empirical examination within the context of data warehousing. Journal of Management Information Systems,2005,21(4), 199-235.
[188]Nikou, S., & Mezei, J. Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP). Telecommunications Policy, 2012.
[189]Nordman, J., & Liljander, V. Mobile service quality - a study of contributing factors. Swedish School of Economics and Business Administration. Working paper.2003.
[190]Ntaliani, M., Costopoulou, C., & Karetsos, S. Mobile government: A challenge for agriculture. Government Information Quarterly,2008,25(4), 699-716.
[191]Obe, O. O., & Balogun, V. F. Practice, trends and challenges of mobile commerce in Nigeria. Information Technology Journal,2007,6(3),448-456.
[192]Oh, O., Agrawal, M., & Rao, H. R. Community Intelligence and Social Media Services:A Rumor Theoretic Analysis of Tweets during Social Crises. Management Information Systems Quarterly,2013,37(2),407-426.
[193]Ojo, A. Janowski T, Awotwi J. Enabling development through governance and mobile technology. Government Information Quarterly,2013,30(1), S32-S45.
[194]O'Leary, R., & Bingham, L. B. eds. The Collaborative Public Manager: New Ideas for the Twenty-First Century. Washington, DC:Georgetown University Press.2008.
[195]O'Leary, R., David, M., Van, S., & Kim, S. (eds.) The Future of Public Administration around the World:The Minnowbrook Perspective. Washington, DC:Georgetown University Press.2010.
[196]Okazaki, S., & Hirose, M. Effects of displacement-reinforcement between traditional media, PC Internet and mobile Internet:A quasi-experiment in Japan. International Journal of Advertising,2009,28(1),77-104.
[197]Orlikowski, W. J. The duality of technology: Rethinking the concept of technology in organizations. Organization Science,1992,3(3),398-427
[198]Otjacques, B., Hitzelberger, P., & Feltz, F. Interoperability of e-government information systems:Issues of identification and data sharing. Journal of Management Information Systems,2007,23(4),29-51.
[199]Ozcan, P., & Eisenhardt, K. M. Origin of alliance portfolios:Entrepreneurs, network strategies, and firm performance. Academy of Management Journal, 2009,52(2),246-279.
[200]Pan, S. L., Tan, C. W., & Lim, E. T. Customer relationship management (CRM) in e-government: a relational perspective. Decision Support Systems, 2006,42(1),237-250.
[201]Pandey, S. K., & Garnett, J. L. Exploring public sector communication performance:Testing a model and drawing implications. Public Administration Review,2006,66(1),37-51.
[202]Papadomichelaki, X., & Mentzas, G. e-GovQual: A multiple-item scale for assessing e-government service quality. Government Information Quarterly, 2012,29(1),98-109.
[203]Parasuraman, A., Zeithaml, V. A., & Malhotra, A. E-S-Qual:a multiple-item scale for assessing electronic service quality Journal of Service Research, 2005,7(3),213-233.
[204]Park, E., & Ohm, J. Factors influencing users'employment of mobile map services. Telematics and Informatics,2014,31(2),253-265.
[205]Paul, G. S., Oliver, S., & Bernd, W. W. Understanding consumer acceptance of mobile payment services:an empirical analysis. Electronic Commerce Research and Applications,2010,9 (3),209-216.
[206]Pavlou, P. A., & El Sawy, O. A. From IT leveraging competence to competitive advantage in turbulent environments:The case of new product development. Information Systems Research,2006,17(3),198-227.
[207]Pearce, K. E., & Rice, R. E. Digital divides from access to activities: Comparing mobile and personal computer Internet users. Journal of Communication,2013,63(4),721-744.
[208]Perry, M., O'hara, K., Sellen, A., Brown, B., & Harper, R. Dealing with mobility: Understanding access anytime, anywhere. ACM Transactions on Computer-Human Interaction,2001,8(4),323-347.
[209]Peteraf, M. A. The cornerstones of competitive advantage:a resource-based view. Strategic Management Journal,1993,14(30),179-191.
[210]Pettigrew, A. M. Longitudinal field research on change:theory and practice. Organization Science,1990,1(3),267-292.
[211]Pidd, M. Perversity in public service performance measurement. International Journal of Productivity and Performance Management,2005,54(5/6), 482-493.
[212]Picazo-Vela, S., Gutierrez-Martinez, I., & Luna-Reyes, L. F. Understanding risks, benefits, and strategic alternatives of social media applications in the public sector. Government information quarterly,2012,29(4),504-511.
[213]Pirog, M. A., & Johnson, C. L. Electronic Funds and Benefits Transfers, E-Government, and the Winter Commission. Public Administration Review, 2008,68(s1), S103-S114.
[214]Poll, R. Performance, Process, and Costs:Managing Service Quality with the Balanced Scorecard. Library trends,2001,49(4),709-17.
[215]Powell, T. C., & Micallef-Dent, A. Information Tehcnology as Competitive Advantage:The Role of Human, Business and Technology Resources. Strategic Management Journal,1997,18(5),375-405.
[216]Rao, B., & Minakakis, L. Evolution of mobile location-based services. Communications of the ACM,2003,46(12),61-65.
[217]Rai, A., Patnayakuni, R., & Seth, N. Frim performance impacts digitally enabled supply chain integaration capabilities. MIS Quarterly,2006,30(2), 225-246.
[218]Ramirez, R., Melville, N., & Lawler, E. Information technology infrastructure, organizational process redesign, and business value:An empirical analysis. Decision Support Systems,2010,49(4),417-429
[219]Ravichandran, T., & Lertwongsatien, C. Effect of information system resources and capabilities on firm performance:a resource-based perspective. Journal of Management Information Systems,2005,21 (4),237-276.
[220]Ray, G., Barney, J. B., & Muhanna, W. A. Capabilities, business processes, and competitive advantage:choosing the dependent variable in empirical tests of the resource-based view. Strategic management Journal,2004,25(1), 23-37.
[221]Ray, G., Muhanna, W. A., & Barney, J. B. Information technology and the performance of the customer service process:A resource-based analysis. MIS Quarterly,2005,29(4),625-652.
[222]Reddick, C. G., & Turner, M. Channel choice and public service delivery in Canada:Comparing e-government to traditional service delivery. Government Information Quarterly,2012,29(1),1-11.
[223]Reichenbach, M., Damker, H., Federrath, H., & Rannenberg, K. Individual management of personal reachability in mobile communication.1997.
[224]Reuver, M., Ongena, G., & Bouwman, H. Should mobile Internet be an extension to the fixed web? Fixed-mobile reinforcement as mediator between context of use and future use. Telematics and Informatics, 2013, 30(2), 111-120.
[225]Robey, D. Designing Organization, second ed. Irwin, Homewood, IL,1986.
[226]Roepke, R., Agarwal, R., & Ferratt, T. W. Aligning the IT human resource with business vision:the leadership initiative at 3M. MIS Quarterly, 2000, 24(2),327-353.
[227]Ross, J. W., Beath, C. M., & Goodhue, D. L. Develop Long-Term Competitiveness through IT Assets. Sloan Management Review, 1996,38(1), 31-42.
[228]Rousseau, D. M. The construction of climate in organizational research.1988, p.154.
[229]Royal Pingdom. Internet 2012 in number. http://royal.pingdom.corn/2013/01/16/internet-2012-in-numbers/
[230]Saarijarvi, H., Mitronen, L., & Yrjola, M. From selling to supporting leveraging mobile services in the context of food retailing. Journal of Retailing and Consumer Services,2014,21(1),26-36.
[231]Salvato, C., & Rerup, C. Beyond collective entities:Multilevel research on organizational routines and capabilities. Journal of Management,2011,37(2), 468-490.
[232]Salanova, M., Agut, S., & Peiro, J. M. Linking organizational resources and work engagement to employee performance and customer loyalty: the mediation of service climate. Journal of applied Psychology, 2005, 90(6), 1217.
[233]Sambamurthy, V., & Zmud, R. W. IT Management Competency Assessment: A Tool for Creating Business Value through IT. Financial Executives Research Foundation, Morristown, NJ,1994.
[234]Santos, J. e-Service quality:A model of virtual service quality dimensions. Managing Service Quality,2003,13(3),233-246.
[235]Schneider, B., & Bowen, D. Employee and customer perceptions of service in banks:Replication and extension. Journal of Applied Psychology, 1985,70(3), 423-433.
[236]Schneider, B., White, S. S., & Paul, M. C. Linking service climate and customer perceptions of service quality:Tests of a causal model. Journal of applied Psychology,1998,83(2),150.
[237]Schneider, B., Wheeler, J. K., & Cox, J. F. A passion for service:using content analysis to explicate service climate themes. Journal of Applied Psychology, 1992,77(5),705-716.
[238]Scholl, H. J. Electronic government: Information management capacity, organizational capabilities, and the sourcing mix. Government Information Quarterly,2006,23(1),73-96.
[239]Schoorman, F., & Schneider, B. E. Facilitating work effectiveness. Lexington Books/DC Heath and Com,1988.
[240]Schreyogg, G., & Kliesch-Eberl, M. How dynamic can organizational capabilities be? Towards a dual-process model of capability dynamization. Strategic Management Journal,2007,28(9),913-933.
[241]Schroeder, R. G., Bates, K. A., & Junttila, M. A. A resource-based view of manufacturing strategy and the relationship to manufacturing performance. Strategic Management Journal,2002,23(2),105-117.
[242]Schultz, F., Utz, S., & Goritz, A. Is the medium the message? Perceptions of and reactions to crisis communication via twitter, blogs and traditional media. Public Relations Review,2011,37(1),20-27.
[243]Setia, P., Sambamurthy, V., & Closs, D. J. Realizing business value of agile IT applications:antecedents in the supply chain networks. Information Technology and Management,2008,9(1),5-19.
[244]Shang, K., & Marlow, P. B. Logistics capability and performance in Taiwan's major manufacturing firms. Transportation Research Part E:Logistics and Transportation Review,2005,41(3),217-234.
[245]Sharma, S. K., & Gupta, J. N. Web services architecture for m-government: issues and challenges. Electronic Government, an International Journal,2004, 1(4),462-474.
[246]Shin, D. H. User acceptance of Mobile Internet: Implication for convergence technologies. Interacting with Computers,2007,19(4),472-483.
[247]Scholl, H. J. Electronic government: Information management capacity, organizational capabilities, and the sourcing mix. Government Information Quarterly,2006,23(1),73-96.
[248]Sirmon, D. G., Hitt, M. A., & Ireland, R. D. Managing firm resources in dynamic environments to create value:Looking inside the black box. Academy of Management Review,2007,32(1),273-292.
[249]Smith, P. C., & Street, A. Measuring the efficiency of public services:the limits of analysis. Journal of the Royal Statistical Society:Series A (Statistics in Society),2005,168(2),401-417.
[250]Smith, S. Circuits of power: A study of mandated compliance to an information systems security de jure standard in a government organization. MIS Quarterly,2010,34(3),463-486.
[251]Smith, S., Winchester, D., Bunker, D., & Jamieson, R. Circuits of power: a study of mandated compliance to an information systems security de jure standard in a government organization. MIS Quarterly,2010,34(3),463-486.
[252]Song, G., & Cornford, T. Mobile government:towards a service paradigm. Proceedings of the 2nd International Conference on e-Government, University of Pittsburgh, USA.2006,208-218.
[253]Steyaert, J. C. Measuring the performance of electronic government services. Information & Management,2004,41(3),369-375.
[254]Stieglitz, S., & Dang-Xuan, L. Emotions and Information Diffusion in Social Media-Sentiment of Microblogs and Sharing Behavior. Journal of Management Information Systems,2013,29(4),217-248.
[255]Subramani, M. How do suppliers benefit from information technology use in supply chain relationships?. MIS Quarterly,2004,28(1),45-73.
[256]Tan, C. W., & Pan, S. L. Managing e-transformation in the public sector: an e-government study of the Inland Revenue Authority of Singapore (IRAS). European Journal of Information Systems,2003,12(4),269-281.
[257]Tan, F. B., & Chou, J. P. The relationship between mobile service quality, perceived technology compatibility, and users' perceived playfulness in the context of mobile information and entertainment services. Intl. Journal of Human-Computer Interaction,2008,24(7),649-671.
[258]Taner, B. An Assessment of Quality Consciousness of Service Employees:An Application of Quality Consciousness Index. International Journal of Hospitality & Tourism Administration,2001,2(1),91.
[259]Tarafdar, M., & Gordon, S. R. Understanding the influence of information systems competencies on process innovation:A resource-based view. The Journal of Strategic Information Systems,2007,16(4),353-392.
[260]Tat-Kei Ho A. Reinventing Local Governments and the E-Government Initiative. Public administration review,2002,62(4),434-444.
[261]Taylor, S., & Todd, P. Understanding information technology usage:A test of competing models. Information Systems Research,1995,6(2),144-176.
[262]Teece, D. J. Explicating dynamic capabilities:the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal,2007, 28(13),1319-1350.
[263]Teece, D. J., Pisano, G., & Shuen, A. Dynamic capabilities and strategic management.1997.
[264]Teo, T., Srivastava, S., & Jiang, L. Trust and electronic government success: An empirical study. Journal of Management Information Systems,2008,25(3), 99-132.
[265]Thurmaier, K., & Wood, C. Interlocal Agreements as Overlapping Social Networks:Picket-Fence Regionalism in Metropolitan Kansas City. Public Administration Review,2002,62(5),585-598.
[266]Tracey, M., & Tan, C. Empirical analysis of supplier selection and involvement, customer satisfaction, and firm performance. Supply Chain Management:An International Journal,2001,6(4),174-188.
[267]Trainor, K. J. Relating social media technologies to performance:a capabilities-based perspective. Journal of Personal Selling and Sales Management,2012,32(3),317-331.
[268]Trainor, K. J., Andzulis, J. M., Rapp, A., & Agnihotri, R. Social media technology usage and customer relationship performance:A capabilities-based examination of social CRM. Journal of Business Research, 2013,67(6), 1201-1208.
[269]Traunmuller, R., & Wimmer, M. Directions in e-Government: Processes, portals, knowledge. Database and Expert Systems Applications,2001. Proceedings.12th International Workshop on. IEEE,2001:313-317.
[270]Tronvoll, B., Brown, S. W., Gremler, D. D., & Edvardsson, B. Paradigms in service research. Journal of Service Management,2011,22(5),560-585.
[271]Van de Walle, S., & Bouckaert, G. Public service performance and trust in government:the problem of causality. International Journal of Public Administration,2003,26(8-9),891-913.
[272]Van Dijk, J. A., Peters, O., & Ebbers, W. Explaining the acceptance and use of government Internet services:A multivariate analysis of 2006 survey data in the Netherlands. Government Information Quarterly,2008,25(3),379-399.
[273]Van Riel, A. C. R., Liljander, V., & Jurriens, P. Exploring consumer evaluations of e-services:a portal site. International Journal of Service Industry Management,2001,12(4),359-377.
[274]Varshney, U. Location Management for Mobile Commerce Applications in Wireless Internet Environment. ACM Transactions on Internet Technology. 2003,3(3),236-255.
[275]Varshney, U., & Vettcr, R. Mobile commerce: Framework, applications and networking support. Mobile Networks and Applications,2002,7(3),185-198.
[276]Verbeke, W., Volgering, M., & Hessels, M. Exploring the conceptual expansion within the field of organizational behaviour: Organizational climate and organizational culture. Journal of Management Studies,1998,35(3), 303-329.
[277]Verdegem, P., & Verleye, G. User-centered E-Government in practice:A comprehensive model for measuring user satisfaction. Government Information Quarterly,2009,26(3),487-497.
[278]Wade, M., & Hulland, J. Review:the resource-based view and information systems research:review, extension, and suggestions for future research. MIS Quarterly,2004,28(1),107-142.
[279]Wang, C. L., & Ahmed, P. K. Dynamic capabilities:A review and research agenda. International Journal of Management Reviews,2007,9(1),31-51.
[280]Wang, Y. S., & Liao, Y. W. Assessing e-Government systems success:A validation of the DeLone and McLean model of information systems success. Government Information Quarterly,2008,25(4),717-733.
[281]Wang, Y. S., Lin, H. H., & Luarn, P. Predicting consumer intention to use mobile service. Information Systems Journal,2006,16(2),157-179.
[282]Waters, R. D., & Jamal, J. Y. Tweet, tweet, tweet: A content analysis of nonprofit organizations'Twitter updates. Public Relations Review,2011,37(3), 321-324.
[283]Watts, S., & Henderson, J. C. Innovative IT climates:CIO perspectives. The Journal of Strategic Information Systems,2006,15(2),125-151.
[284]Weerakkody, V., & Dhillon, G. Moving from e-government to t-govrnment: a study of process reengineering challenges in a UK local authority context. International Journal of Electronic Government Research,2008,4(4),1-16.
[285]Wei, J., Bu, B., & Liang, L. Estimating the diffusion models of crisis information in micro blog. Journal of Informetrics,2012,6(4),600-610.
[286]Wernerfelt, B. A resource-based view of the firm. Strategic Management Journal,1984,5(2),171-180.
[287]West, D. Global e-government,2007.2007.
[288]West, D. M. E-Government and the Transformation of Service Delivery and Citizen Attitudes. Public administration review,2004,64(1),15-27.
[289]West, J. Browsing as the killer app explaining the rapid success of Apple's iPhone. Telecommunications Policy,2010,34(5-6),270-286.
[290]Wimmer, M., & Traunmuller, R. Trends in electronic government:managing distributed knowledge. Database and Expert Systems Applications,2000. Proceedings.11th International Workshop on. IEEE.2000,340-345.
[291]Wimmer, M. A., & Traunmuller, R. Perspectives e-government 2020:Results and conclusions from the EC Roadmap 2020 Project. 2008 3rd International Conference on Information and Communication Technologies:From theory to applications.2008, (1-5),174-177
[292]Wu, J., & Lederer, A. A meta-analysis of the role of environment-based voluntariness in information technology acceptance. MIS Quarterly, 2009, 33(2),419-432.
[293]Wu, S. J., Melnyk, S. A., & Flynn, B. B. Operational capabilities:the secret ingredient. Decision Sciences,2010,41(4),721-754.
[294]Xia, Z., Yu, Q., & Wang, L. The Public Crisis Management in Micro-bloging Environment:Take the Case of Dealing with Governmental Affairs via Micro-blogs in Chin. Advances in Computer Science and Engineering. Springer Berlin Heidelberg.2012,627-633.
[295]Xifra, J., & Grau, F. Nanoblogging PR:The discourse on public relations in Twitter. Public Relations Review,2010,36(2),171-174.
[296]Xu, G., & Gutierrez, J. A. An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce. Journal of Electronic Commerce in Organizations.2006,4(3),63-79.
[297]Xu, H., Teo, H. H., Tan, B. C., & Agarwal, R. Research Note—Effects of individual self-protection, industry self-regulation, and government regulation on privacy concerns:A study of location-based services. Information Systems Research,2012,23(4),1342-1363.
[298]Yan, A., & Gray, B. Bargaining power, management control, and performance in United States-China joint ventures:a comparative case study. Academy of Management Journal,1994,37(6),1478-1517.
[299]Yang, C. C., Marlow, P. B., & Lu, C. S. Assessing resources, logistics service capabilities, innovation capabilities and the performance of container shipping services in Taiwan. International Journal of Production Economics,2009, 122(1),4-20.
[300]Yang, K., & Holzer, M. The performance-trust link:Implications for performance measurement. Public Administration Review,2006,66(1), 114-126.
[301]Yen, D. C., Wu, C. S., Cheng, F. F., & Huang, Y. W. Determinants of users' intention to adopt wireless technology:An empirical study by integrating TTF with TAM. Computers in Human Behavior.2010,26(5),906-915.
[302]Yin, R. K. Case study research:Design and method. Vol.5. SAGE Publications,2009.
[303]Yuan, Y, Archer, N., Connelly, C.E., & Zheng, W. Identifying the ideal fit between mobile work and mobile work support. Information & Management, 2010,47(3),125-137.
[304]Yuan, Y., & Zhang, J. J. Towards an appropriate business model for m-commerce. International Journal of Mobile Communications.2003,1(1/2), 35-56.
[305]Zavlanos, M. M., & Pappas, G. J. Potential fields for maintaining connectivity of mobile networks. Robotics, IEEE Transactions on,2007,23(4),812-816.
[306]Zhao, M., Droge, C., & Stank, T. P. The effects of logistics capabilities on firm performance:customer-focused versus information-focused capabilities. Journal of Business Logistics,2001,22(2),91-107.
[307]Zheng L. Social media in Chinese government: Drivers, challenges and capabilities. Government Information Quarterly,2013,30(4),369-376.
[308]Zhou, T. An empirical examination of continuance intention of mobile payment services. Decision Support Systems,2013,54(2),1085-1091.
[309]Zhou, T., Lu, Y., & Wang, B. Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior.2010,26 (4),760-767.
[310]Zmijewska, A., Lawrence, D. E., & Steele, D. R. Classifying m-payments-a user-centric model. In Proceedings of the Third International Conference on Mobile Business (ICMB),2004, p.12-13, New York, USA.
[311]艾云.上下级政府间“考核检查”与“应对”过程的组织学分析以A县“计划生育”年终考核为例.社会,2011,31(3),68-87.
[312]毕凌燕,张镇鹏,左文明.基于微博传播信息流的微博效果评价模型及实证研究.情报杂志,2013(7),69-73.
[313]陈昌盛.中国政府公共服务：体制变迁与地区综合评价.北京：中国社会科学出版社,2007,22.
[314]陈晓春,胡扬名.建设以公共利益为导向的服务型政府.光明日报,2005,04-13.
[315]陈奇星.平衡与优化：完善我国公共服务监督体系的思考.中国行政管理,2013(10),18-20.
[316]陈致豫,邓朝华,鲁耀斌.移动服务的分类及采纳模型分析.统计与决策,2007(21),57-60.
[317]崔耀东,周儒荣,廖文和.制造企业信息系统应用水平评价方法.南京理工大学学报,2003,27(1),68-72.
[318]丁辉侠.地方政府提供公共服务的能力与动力分析.河南社会科学,2012,20(9),30-32.
[319]丁锐,胡广伟.政府业务整合水平对电子政务服务能力的影响.情报杂志,2013(7),191-197.
[320]杜杨沁,霍有光,锁志海.政务微博微观社会网络结构实证分析——基于结构洞理论视角.情报杂志,2013,32(5),25-31.
[321]杜治洲,汪玉凯.电子政务与中国公共服务创新.中国行政管理,2007(6),47-50.
[322]杜治州,汪玉凯.电子政务与政府协同管理模式的发展.中共天津市委党校学报,2006,8(2),40-43.
[323]樊博.G2G电子政务协同效率改进的支撑框架研究.图书与情报,2010(5),70-75.
[324]富克斯.服务经济——让顾客价值回到企业舞台中心.北京：中国社会科学出版社,1991.
[325]甘雨婷.移动互联网助推政府网站服务创新.电子政务与社会管理创新研讨会论文集,2011,110-113.
[326]高焕清,汪超,于亚婕.街头官僚问责：逻辑意蕴、即时监督与新媒体工具选择.湖北社会科学,2013(3),24-27.
[327]顾平安.面向公共服务的电子政务流程再造.中国行政管理,2008(9),83-86.
[328]桂万保.政府机构官方微博的传播特征分析——基于新浪微博的个案调查.现代传播,2011(3),159-160.
[329]国脉电子政务网.公共服务借助移动互联大放异彩.2013.11.29. http://www.echinagov.com/gov/csfa/2013/11/29/189510.s html
[330]哈肯.协同学引论.徐锡申等译.北京：原子能出版社,1984,287-288.
[331]韩小威.中国农村基本公共服务供给的制度模式探析.北京：中国社会科学出版社,2012.
[332]何宝宏.从固定互联网到移动互联网.信息通信技术,2010,04(4),54-58.
[333]侯杰泰,温忠麟,成子娟.结构方程模型及其应用.北京：教育科学出版社,2004.
[334]胡广伟,石进,顾日红.人因要素对电子政务服务能力的影响机制研究——领导、团队、下属视角的实证.情报学报,2013,32(4),428-438.
[335]互联网实验室.浙江传媒学院互联网与社会研究中心.2012年—2013年微博发展研究报告.2013年.
[336]黄培伦,尚航标,招丽珠.组织创新、组织能力和组织绩效的关系研究.管理学报,2008.
[337]李怀祖.管理研究方法.西安：西安交通大学出版社,2004,132-134.
[338]李靖华.电子服务的流程再造.科学学研究,2003,21(z1),243-247.
[339]李靖华.政府电子服务流程分析.科技进步与对策,2004,21(9),137-139.
[340]梁新华,颜佳华.政府信息服务流程创新探讨.情报杂志,2011,30(4),161-164.
[341]刘宁雯.中国政务微博研究文献综述.电子政务,2012(06).
[342]刘伟.我国电子政务绩效评估方案的综合研究.中国行政管理,2013,(2)11-15.
[343]刘渊,易凌志.政府门户网站信息服务与用户价值感知——以“中国浙江政府门户网站及其用户服务为例.情报学报,2009,28(3),431-436.
[344]卢福营,孙琼欢.村务监督的制度创新及其绩效——浙江省武义县后陈村村务监督委员会制度调查.社会科学,2006(2),98-107.
[345]卢纹岱.SPSS for Windows统计分析.电子工业出版社,2008.
[346]吕维霞.公众感知政府服务质量影响因素实证研究.国家行政学院学报,2010(5),75-80.
[347]吕维霞,王永贵.服务设计、社会监督对公众感知行政服务质量影响的实证研究.山东社会科学,2010(8),140-145.
[348]吕文.论服务型政府建设中的公务员观念更新.硕士学位论文,湖南大学,2006.
[349]马连杰,胡新丽,张晓莲.论我国电子政务绩效评估体系的构建.湖北社会科学,2005(11),38-40.
[350]马亮.公共服务绩效与公民幸福感：中国地级市的实证研究.中国行政管理,2013(2),104-109.
[351]马庆国.管理统计.北京：科学出版社,2002,137-139.
[352]马卓,孙济庆.基于CRM理论的电子政务公共信息服务研究.情报科学,2007,25(12),1778-1781.
[353]孟华.公共服务绩效目标对服务绩效的影响——以英国萨塞克斯郡警察服务为例.科技管理研究,2006,26(2),57-59.
[354]孟华.推进以公共服务为主要内容的政府绩效评估——从机构绩效评估向公共服务绩效评估的转变.中国行政管理,2009,(2),16-20.
[355]彭欢.移动互联网使用与满足研究.硕士学位论文,湖南师范大学,2012.
[356]彭新敏.企业网络对技术创新绩效的作用机制研究：利用性—探索性学习的中介效应.博士学位论文,浙江大学,2009.
[357]人民网舆情监测室.2013年政务微博、媒体微博发展报告.2013,11.
[358]荣泰生.AMOS与研究方法.重庆：重庆大学出版社,2009,49.
[359]石婧.政务微博与政府公共服务转型研究.编辑之友,2013,(6),74-78.
[360]孙海法,刘运国,方琳.案例研究的方法论.科研管理,2004,25(2),107-112.
[361]唐铁汉.强化政府公共服务职能,努力建设公共服务型政府.中国行政管理,2004(7),9-15.
[362]唐忠义,张英.论我国公共服务监督机制建设的初步探索及基本经验.理论月刊,2013(9).
[363]王春婷,李帆,林志刚.政府购买公共服务绩效结构模型建构与实证检测——基于深圳市与南京市的问卷调查与分析.江苏师范大学学报(哲学社会科学版),2013,39(1),109-115.
[364]王佃利.刘保军.公民满意度与公共服务绩效相关性问题的再审视.山东大学学报(哲学社会科学版),2012(1),109-114.
[365]王欢明,诸大建.基于效率、回应性、公平的公共服务绩效评价——以上海市公共汽车交通的服务绩效为例.软科学.2010,24(7),1-5.
[366]王凯.突发事件下决策者的框架效应研究.博士学位论文,浙江大学,2010.
[367]温忠麟,侯杰泰,张雷.调节效应与中介效应的比较和应用.心理学报,2005,37(2),268-274.
[368]吴明隆.结构方程模型—AMOS实务进阶.重庆：重庆大学出版社,2013,80.
[369]徐刚.纵横优化模式下行政服务流程的逆向度选择——佛山创新经验的启示.华南师范大学学报(社会科学版),2011,(3),121-126.
[370]许冠南.关系嵌入性对技术创新绩效的影响研究.博士学位论文,浙江大学,2008.
[371]杨娟娟,杨兰蓉,曾润喜等.公共安全事件中政务微博网络舆情传播规律研究：基于“上海发布”的实证.情报杂志,2013,(9),11-15,28.
[372]叶常林.信息技术在权力监督中的作用.中国行政管理,2004,(11),46-49.
[373]于小千.公共服务绩效考核理论探索与实践经验.北京：北京理工大学出版社,2008.
[374]张成福,唐钧.电子政务绩效评估：模式比较与实质分析.中国行政管理,2004,(5),21-23.
[375]张钢,牛志江,贺珊等.地方政府公共服务质量评价体系及其应用.浙江大学学报(人文社会科学版),2008,38(6),31-40.
[376]张金娟,张英华.顾客导向的服务流程绩效评价研究.财经问题研究,2011,(12),116-120.
[377]张玲.政务微博的发展瓶颈及其突破——以北京市政务微博为例.北京行政学院学报,2013(4),75-78.
[378]张宁.微传播,微关系：对广东省三个政务微博的考察,现代传播,2013,35(4),111-115.
[379]张若勇,刘新梅,沈力,王海珍.服务氛围与一线员工服务绩效：工作压力和组织认同的调节效应研究.南开管理评论,2009,12(3),4-11.
[380]张若勇,刘新梅,王海珍.服务氛围对顾客知识获取影响路径的实证研究.科学学研究,2008,26(2),350-357.
[381]张颖瑶.政府网站协同服务和信息资源整合的评价研究.硕士学位论文,广东工业大学,2009.
[382]郑巧,肖文涛.协同治理：服务型政府的治道逻辑.中国行政管理,2008,(7),48-53.
[383]中国互联网研究中心(CNNIC).中国移动互联网发展状况报告,2013a.
[384]中国互联网研究中心(CNNIC).2012年中国农村互联网发展状况调查报告,2013b.
[385]中国互联网研究中心(CNNIC).第33次中国互联网络发展状况统计报告,2014.
[386]中国软件评测中心.2008年中国政府网站绩效评估指标体系解读.电子政务,2008,(7),80-85.
[387]种晓丽.基于消费者价值的移动服务定价模型研究.博士学位论文,华中科技大学,2012.
[388]周光辉,殷冬水.“社会公正与政府责任”国际学术研讨会综述.中国行政管理,2006,(12),102.
[389]卓越.公共部门绩效评估.中国人民大学出版社,2004,32.