移动服务用户采纳模型及其实证研究
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摘要
随着信息技术的快速发展,移动通信技术已从最初的1G(模拟技术,主要业务为语音通信)发展到2G(数字技术,业务包括语音通信与数据业务),并正向3G过渡。伴随着WAP(Wireless Application Protocol)的应用,手机银行、手机炒股等互联网上的服务(网上银行、网上证券)被移植到手机终端上。移动服务的种类繁多,理解用户为什么会接受移动服务则是移动商务企业关注的焦点。目前国内外研究者对移动商务用户采纳的影响因素进行过大量研究,但对我国移动服务的用户采纳的系统研究并不多见。结合有关移动商务研究课题,本论文将结合用户采纳研究理论,在对企业用户和个人用户分别采集数据的基础上,对我国社会环境和商务环境下的移动商务用户采纳模型进行实证研究。
     移动商务的运作涉及资金安全、信息安全、商业秘密等诸多因素,同时移动商务还涉及有用性和易用性等问题,而这些因素和问题会影响企业和客户对移动商务的采纳程度,从而影响移动商务的发展。因此研究在我国的社会环境和商务环境下,何种因素影响了移动商务的采纳,可以为我国移动商务积极、健康和有序的发展提供对策依据。无线网络的产品,都是围绕着移动商务客户的生活方式经验制造出来的,因此客户是移动商务的中心。在产品同质化日趋严重的今天,提供完善、独特的商务服务成为了企业赢得和保留客户的重要手段,而拥有稳定的客户群对企业来说更是非常重要的。信任在用户采纳中的作用非常重要,往往因为缺乏信任用户不愿意在线购买移动服务或者进行移动交易,因此信任是移动商务中交易进行的重要因素。
     本文绪论部分首先回顾了移动商务研究的动态,对移动商务的定义和用户采纳研究现状进行了描述,也对用户采纳理论进行了归纳,包括理性行为理论(Theory ofReasoned Action,TRA)、计划行为理论(Theory of Planned Behavior,TPB)、技术接受模型(Technology Acceptance Model,TAM)、创新扩散理论(Innovation DiffusionTheory,IDT)、技术任务匹配理论(Task Technology Fit,TTF)、网络外部性理论(NetworkExternality Theory)、服务质量模型(SERVQUAL Model)等。
     在移动商务应用对象的基础上将移动服务分为基于个人的应用和基于企业的应用,并分别以短信服务为研究对象建立个体用户采纳、以移动企业短信服务为对象建立企业采纳模型、以移动微支付服务为对象分析信任对用户采纳的影响,利用结构化方程模型分别对模型进行了实证分析。最后以移动银行服务力对象对比分析结构化方程模型的两种参数估计方法。本文的研究工作集中在以下几个方面:
     移动服务种类繁多,按照应用对象分为面向个人的服务和面向企业的服务。面向个人的服务以短信服务为研究对象建立模型,由于是研究个体消费者采纳,而技术接受模型是用来研究个体消费者采纳的典型模型,服务成本则是消费者采纳或者使用服务的主要影响因素之一。此外,短信服务的基本功能之一是使得用户的沟通方式更为便捷,因而网络外部性、沟通的有效性和感知的乐趣也会对用户的采纳行为产生影响。实证研究结果表明,感知的有用性、网络外部性、沟通的有效性、感知的乐趣和服务成本对用户采纳移动短信服务行为有显著的影响作用;
     面向企业的服务的消费者是组织,而创新扩散理论适合用来研究组织采纳。此外,企业使用移动服务时,必须考虑到移动服务系统的技术特点与企业任务特点的匹配度,因此,本研究整合了创新扩散理论和技术任务匹配理论来研究企业对移动服务的采纳行为。研究结果表明,相对优势、复杂性、兼容性和技术任务匹配对企业的采纳有显著的影响,整合IDT/TTF的模型比单个模型的解释能力更强。
     信任是涉及到交易的服务中的一个重要影响因素,不论是电子商务还是移动商务,信任始终是研究的焦点。以微支付服务为研究对象,通过建立实证模型,分析了信任对用户采纳移动服务的影响,研究结果表明感知的有用性、信任和服务成本对用户采纳移动微支付服务有显著的影响作用。
     结构方程模型是实证研究的主要方法,而PLS和Lisrel是结构方程模型的两种主要参数估计方法。以移动银行服务为研究对象建立假设模型,分析感知的有用性、感知的易用性、感知的可靠性和服务成本对用户采纳的影响作用。对比了两种参数估计方法的异同点,并采用了实证数据进行验证。
With the rapid development of information technology, mobile communication technology has transformed from the 1~(st) generation to 2~(nd) generation, and is in the transition to the 3~(rd) generation. In the same time, various Internet business applications have transferred to mobile terminal, such as mobile banking and mobile stock. There are various mobile services. Understanding why people accept mobile services is always the focus of enterprise in mobile environment. Existing literature provides a helpful foundation to understand user adoption of mobile commerce, but few researchers have conducted from the systemic perspective of China's social context and business context. Supported by several research projects of mobile business, this dissertation conducts empirical studies on the factors affecting individual and enterprise users' adoption of mobile services.
     The operation of mobile business involves capital security, information security, trade secrets, and many other factors. Meanwhile, mobile commerce also involves the usefulness and ease of use issues, and these factors and issues will affect business and customer acceptance of mobile commerce, thereby affect the development of mobile commerce. Thus, studying what factors affect the acceptance of mobile commerce can provide basis for countermeasures give for the positive, healthy and orderly development of China's mobile business in the country's social environment and business environment. Wireless network products are mobile business customers around the lifestyle created by the experience, so customers are mobile business centre. Since homogenization of products is the increasingly serious problem today, providing comprehensive and unique business services is becoming an important means for enterprises to win the market competition and retain customers, while it is very important for enterprises to have a stable customer base. Furthermore, trust has positive significant impact on user adoption. Often because of the lack of trust, users are unwilling to buy online or mobile services. Thus, for mobile transactions, trust is an important factor.
     In the part of introduction, this study first reviewed mobile commerce research status, including the definition of mobile commerce, user adoption of mobile commerce research status, and customer trust in mobile commerce. Then we described the theories of user adoption, including Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB), Technology Acceptance Model (TAM), Innovation Diffusion Theory, Task Technology Fit Model (TTF), Network Externality, and Service Quality Model (SERVQUAL). In the second chapter, we analyzed the characteristics of mobile commerce, and studied the classification of mobile commerce. Since trust is an important influence for the services involving transactions. Whether in e-commerce or mobile commerce, trust is always the focus of research. Based on Value Focused Thinking (VFT), thus this dissertation constructed a framework of customer trust in mobile commerce. Then this chapter built a total user adoption of mobile commerce research model, studied each issue one by one in the other chapters.
     This study focused on the following aspects:
     With the wide range of mobile services, we categorize them into individual services and enterprise services based on objects. Personal service is targeted at individual consumers, and technology acceptance model is a typical theory for individual user, also service cost is one of the main factors for a consumer adoption or using services. Accordingly, perceived usefulness, perceived ease of use, and the perceived service cost are basic structural variables to establish the research model. In addition, one of the basic functions of communications services is to allow users more convenient means of communication, thus external network, communication effectiveness and perceived enjoyment will impact users usage behaviors.
     Business-oriented service consumers are organizations, and innovation diffusion theory (IDT) is suitable for organizations adoption research. In addition, using mobile services, enterprises must consider the match of characteristics of technology and the characteristics of business tasks. Thus, this dissertation integrated innovation diffusion theory and technology task fit (TTF) model to study enterprise adoption of mobile service. The results showed that relative advantage, complexity, compatibility and the fit of technology and business tasks significantly affect the enterprise adoption of mobile service, and the integration of IDT/TTF model explains more variance than IDT or TTF alone.
     Using micro-payment service as research object, we empirically tested the impact of trust on user adoption. The results demonstrated that perceived usefulness, trust and service costs significantly affect user's adoption of Micro-payment services.
     Structural equation model (SEM) is the main approach for empirical studies, the PLS and Lisrel structural equation model are the two main types of parameter estimation methods. Taking mobile banking services as research object, we built a model including perceived usefulness, perceived ease of use, perceived credibility and service costs, attitude, and behavior intention. And then we uses empirical data to compare the differences of these two methods of parameter estimation.
引文
[1]Tarasewich,P.Issues in Mobile E-Commerce.Communications of the Association for Information Systems.2004,8:41-64.
    [2]DurlacherResearch,L.,Mobile Commerce Report,Technical 2000.
    [3]Tsalgatidou,A.,Veijalainen,J.Mobile electronic commerce:emerging issues,in:Proceedings of EC-WEB 2000 1st International Conference on E-Commerce and Web Technologies.London,Greenwish,UK:2000.477-486.
    [4]Clarke,I.Emerging Value Propositions for M-Commerce.Journal of Business Strategies.2001,18(2):133-147.
    [5]Tsalgatidou,A.,Pitoura,E.Business models and transactions in mobile electronic commerce:requirements and properties.Computer Networks.2001,37:221-236.
    [6]Barnes,S.J.The mobile commerce value chain:analysis and future developments.International Journal of Information Management.2002,22(2):91-108.
    [7]Kannan,P.K.,Chang,A.M.,Whinston,A.B.Wireless Commerce:Marketing Issue and Possibilities.in:Proceeding of the 34th Annual Hawaii International Conference on System Sciences.Maui,Hawaii,US:2001.
    [8]Keen,P.G.W.,Mackintosh,R.The freedom Economy:Gaining the M-Commerce Edge in the Era of the Wireless Internet.Osborne/McGrew-Hill,Berkeley,US 2001.
    [9]Mylonopoulos,N.A.,Doukidis,G.I.Introduction to the special issue:mobile business:technological pluralism,social assimilation,and growth.International Journal of Electronic Commerce.2003,8(1):5-22.
    [10]Kuo,Y.-E,Yu,C.-W.3G telecommunication operator's challenges and roles:A perspective of mobile commerce value chain.Technovation.2006,26:1347-1356.
    [11]鲁耀斌,徐红梅.技术接受模型的实证研究综述.研究与发展管理.2006,18(3):93-99.
    [12]刘文雯,高平,徐博艺.企业信息技术采纳行为研究综述.研究与发展管理.2005,17(3):52-57.
    [13]Liang,T.P.,Wei,C.P.Introduction to the special issue:mobile commerce applications.International Journal of Electronic Commerce.2004,8(3):7-17.
    [14]Webster,J.,Watson,R.T.Analyzing the Past to Prepare for the Future:Writing a Literature Review.MIS Quarterly.2002,26(2):13-23.
    [15]Clark,J.G.,Warren,J.In Search of the Primary Suppliers of IS Research:Who Are They and Where Did They Come From? Communications of the Association for Information Systems.2006,18:296-328.
    [16]Fishbein,M.,Ajzen,I.Belief,Attitude,Intention and Behavior:An Introduction to Theory and Research.Mass:Addison-Wesley Publishing Company,1975.
    [17] Ajzen, I., Fishbein, M. Understanding attitudes and predicting social behavior. N.J.: Prentice-Hall, Inc, 1980.
    [18] Davis, F. D., Warshaw, R. P. B. P. R. User acceptance of computer technology: a comparisonof two theoretical models. Management Science. 1989,35: 982-1003.
    [19] Taylor, S., Todd, P. A. Understanding information technology usage: a test of competing models. Information System Research. 1995, 6(2): 144-176.
    [20] Ajzen, I. From intentions to actions: A theory of planned behavior. Berlin: Springer,1985.
    [21] Ajzen, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991, 50(2): 179-211.
    [22] Davis, F. Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly. 1989,13(3): 319-340
    [23] Ma, Q., Liu, L. The technology acceptance model: A meta analysis of empirical findings. Journal of Organizational and End User Computing. 2004,16(1): 59- 72.
    [24] Taylor, S., Todd, P. A. Understanding information technology usage: a test of competing models. Information Systems Research. 1995, 6(2): 144-176.
    [25] Venkatesh, V, Davis, F. D. A theoretical extension of the technology acceptance model: Four longitudinal field study. Management Science. 2000, 45(2): 186-204.
    [26] Venkatesh, V., Morris, M. G, Davis, G. B., Davis, F. D. User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly. 2003, 27(3):425-478.
    
    [27] Rogers, E. M. Diffusion of Innovations(4th edition). New York: Free Press, 1995.
    [28] Teo, T. S. H., Pok, S. H. Adoption of WAP- enabled mobile phones among Internet users. OMEGA: International Journal of Management Science. 2003, 31(6):483-498.
    [29] Davis, F., Bagozzi, R., Warshaw, P. User Acceptance of Computer Technology: A Comparison of Two theoretical Models. Management Science. 1989, 35(8):982-1003.
    
    [30] Rogers, E. M. Diffusion of Innovation(3rd edition). New York: Free Press, 1983.
    [31] Moore, G. C., Benbasat, I. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research. 1991, 2(3): 192-222.
    [32] Chen, L.-D. Enticing Online Consumers: An Extended Technology Acceptance Perspective. Information & Management. 2002, 39: 705-719.
    [33] Tornatzky, L. G., Klein, K. J. Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Transactions on Engineering Management. 1982, 29(1): 28-45.
    [34] Goodhue, D. L., Thompson, R. L. Task-technology fit and individual performance.MIS Quarterly. 1995,19(2): 213-236.
    [35] Staples, D. S., Seddon, P. B. Testing the technology-to-performance chain model. Journal of Organizational and end user computing. 2004,16(4): 17-36.
    [36] Goodhue, D. L. Development and measurement validity of a task-technology fit instrument for user evaluations of information systems. Decision Sciences. 1998,29(1): 105-138.
    [37] Dishaw, M. T., Strong, D. M. Assessing Software Maintenance Tool Utilization Using Task-Technology Fit and Fitness-for-Use Model. Journal of Software Maintenance: Research and Practice. 1998,10(3): 151-179.
    [38] Bendford, T. L., Hunton, J. E. Incorporating information technology considerations into an expanded model of judgment and decision making in accounting.International Journal of Accounting Information Systems. 2000,1(1): 54-65.
    [39] Ferratt, T. W., Vlahos, G E. An investigation of task-technology fit for managers in Greece and the US. European Journal of Information Systems. 1998, 7(2):123-136.
    [40] Dishaw, M. T., Strong, D. M. Extending the technology acceptance model with task-technology fit constructs. Information & Management. 1999,36(1): 9-21.
    [41] Klopping, I. M., McKinney, E. Extending the Technology Acceptance Model and the Task-Technology fit Model to Consumer E-Commerce. Information Technology, Learning, and Performance Journal. 2004, 22(1): 36-47.
     [42] Lee, C.-C, Cheng, H. K., Cheng, H.-H. An empirical study of mobile commerce in insurance industry: Task-technology fit and individual differences. Decision Support Systems. 2007, 43(1): 95-110.
    [43] Gebauer, J., Shaw, M. J. 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.
    [44] Liang, T.-P., Wei, C.-P. Introduction to the special issue: mobile commerce applications. International Journal of Electronic Commerce. 2004, 8(3): 7-17.
    [45] Junglas, I. A., Watson, R. T. U-commerce: a conceptual extension of e-commerce and m-commerce. in: Proceedings of the Twenty-Fourth International Conference on Information Systems (ICIS 2003). Seattle, Washington: 2003. 667-677.
    [46] Zigurs, I., Buckland, B. K. A Theory of Task-Technology Fit and Group Support Systems Effectiveness. MIS Quarterly. 1998, 22(3): 313-334.
    [47] Jahng, J., Jain, H., Ramamurthy, K. Effective design of electronic commerce environments: A proposed theory of congruence and an illustration IEEE Transactions on Systems, Man, and Cybernetics, Part A - Systems and Humans.2000,30(4): 456-471.
    [48] Katz, M. L., Shapiro, C. Network externalities, competition, and compatibility. The American Economic Review. 1985, 75(3): 424-440.
    [49] Gandal, N. Hedonic Price Indexes for Spreadsheets and an Empirical Test of the network Externalities Hypothesis. The RAND Journal of Economics. 1994, 25:160-170.
    [50] Shurmer, M. An Investigation into Sources of Network Externalities in the Packaged PC Software Market. Information Economics & Policy. 1993, 5(3):231-251.
    [51] Wang, C. C, Hsu, Y., Fang, W. Acceptance of technology with network externalities: An empirical study of Internet instant messaging services. Journal of Information Technology Theory and Application. 2004, 6(4): 15-28.
    [52] Bolton, R. N., Drew, J. H. A longitudinal analysis of the impact of service changes on customer attitudes. Journal of Marketing Research. 1991, 55(January): 1-9.
    [53] Parasuraman, A., Zeithaml, V. A., Berry, L. L. SERVQUAL: A multipleitem scale for measuring consumer perceptions of service quality. Journal of Retailing. 1988,64(1): 12-40.
    [54] Parasuraman, A., Zeithaml, V. A., Berry, L. L. Refinement and reassessment of the SERVQUAL scale. Journal of Retailing. 1991, 67(4): 420-450.
    [55] Cronin Jr, J. J., Taylor, S. Measuring service quality: A reexamination and extention. Journal of Marketing Research. 1992, 56(July): 55-68.
    [56] Cronin Jr, J. J., Taylor, S. A. SERVPERF Versus SERVQUAL: reconciling performance-based and perceptions-minus-expectations measurement of service quality. Journal of Marketing Research. 1994, 58(January): 125-131.
    [57] Lai, T. L. Service Quality and Perceived Value's Impact on Satisfaction, Intention and Usage of Short Message Service (SMS). Information Systems Frontiers. 2004,6(4): 353-368.
    [58] Halawi, L., McCarthy, R. which theory applies: an analysis of IS research 2006. in:IACIS: vol. VII, 2006. 252-256.
    [59] Pedersen, P. E., Ling, R. Modifying adoption research for mobile Internet service adoption: Crossdisciplinary interactions. in: Proceedings of the 36th Annual Hawaii International Conference on System Science(HICSS'03). Hawaii: IEEE,2003.
    [60] Pedersen, P. E., Ling, R. Mobile end-user service adoption studies: A selective review. Scandinavian Journal of Information Sciences 2002,14.
    [61] Okazaki, S. New perspectives on m-commerce research. Journal of Electronic Commerce Research. 2005, 6(3): 160-164.
    [62] Scornavacca, E., Barnes, S. J., Huff, S. L. Mobile Business Research Published in 2000-2004: Emergence, Current Status, and Future Opportunities. Communication of the AIS. 2006,2006(17): 635-646.
    [63] Lu, J., Yu, C.-S., Liu, C, Yao, J. E. Technology acceptance model for wireless Internet. Internet Research. 2003,13(3): 206-222.
    [64] Serenko, A., Bontis, N. B. A Model of User Adoption of Mobile Portals. Quarterly Journal of Electronic Commerce 2004,4(1): 69-98.
    [65] Kleijnen, M. H. P., Wetzels, M., Ruyter, K. d. Consumer acceptance of wireless finance. Journal of Financial Services Marketing. 2004, 8(3): 206-217.
    [66] Hung, S. Y, Ku, C. Y, Chang, C. M. Critical factors of WAP services adoption: An empirical study. Electronic Commerce Research and Applications. 2003, 2(1):42-60.
    [67] Chu, Y, Huang, L. Mobile Business Applications Adoption Model Based on the Concepts of Task/Technology Fit. in: International Conference on Services Systems and Services Management (ICSSSM05). Chongqing, China: IEEE, 2005.
    [68] Sarker, S., Wells, J. D. Understanding mobile handheld device use and adoption.Communications of the ACM. 2003, 46(12): 35-40.
    [69] Kim, S. H. Moderating effects of Job Relevance and Experience on mobile wireless technology acceptance: Adoption of a Smartphone by individuals.Information & Management. 2008, 45: 387-394.
    [70] Hsu, C.-L., Lu, H.-P., Hsu, H.-H. Adoption of the mobile Internet: An empirical study of multimedia message service (MMS). OMEGA: International Journal of Management Science. 2007, 35(6): 715-726.
    [71] Nysveen, H., Pedersen, P. E., Thorbjornsen, H. Explaining intention to use mobile chat services: moderating effects of gender. Journal of Consumer Marketing. 2005a,22(5): 247-256.
     [72] Nysveen, H., Pedersen, P. E., Thorbjornsen, H. Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science. 2005b, 33(3): 330- 346.
    [73] Luarn, P., Lin, H. H. Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior. 2005, 21(6): 873-891.
    [74] Bauer, H. H., Reichardt, T., Barnes, S. J., Neumann, M. M. Driving Consumer Acceptance of Mobile Marketing: A Theoretical Framework and Empirical Study.Journal of Electronic Commerce Research. 2005, 6(3): 181-192.
    [75] Pagani, M. Determinants of adoption of third generation mobile multimedia services. Journal of Interactive Marketing. 2004,18(3): 46-59.
    [76] Wu, J. H., Wang, S. C. What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information & Management. 2005,42(5): 719-729.
    [77] Tsang, M. M., Ho, S. C, Liang, T. P. Consumer Attitudes toward Mobile Advertising: An Empirical Study. International Journal of Electronic Commerce.2004, 8(3): 65-78.
    [78] Song, J., Koo, C, Kim, Y. Investigating Antecedents of Behavioral Intentions in Mobile Commerce. Journal of Internet Commerce. 2007, 6(1): 13-34.
    [79] Wang, Y. S., Lin, H. H., Luarn, P. Predicting consumer intention to use mobile service. Information Systems Journal. 2006,16(2): 157-179.
    [80] Amberg, M., Hirschmeier, M., Wehrmann, J. The Compass Acceptance Model for the Analysis and Evaluation of Mobile Services. International Journal of Mobile Communications. 2004, 2(3): 248-259.
    [81]Wu,J.-H.,Wang,Y.-M.,Wang,J.-W.,Tai,W.-C.Mobile Shopping Site Selection:The Consumers' Viewpoint.in:Proceedings of the 37th Hawaii International Conference on System Sciences.Hawaii:IEEE,2004.
    [82]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.
    [83]Bigné,E.,Ruiz,C.,Sanz,S.Key Drivers of Mobile Commerce Adoption.An Exploratory Study of Spanish Mobile Users.Journal of Theoretical and Applied Electronic Commerce Research.2007,2(2):48-60.
    [84]Lee,S.E,Tsai,Y.C.,Jih,W.J.K.An Empirical Examination of Customer Perceptions of Mobile Advertising.Information Resources Management Journal.2006,19(4):39-55.
    [85]Kleijnen,M.,de Ruyter,K.,Wetzels,M.An assessment of value creation in mobile service delivery and the moderating role of time consciousness.Journal of Retailing.2007,83(1):33-46.
    [86]Kim,H.-W.,Chan,H.C.,Gupta,S.Value-based Adoption of Mobile lnternet:An empirical investigation.Decision Support Systems.2007,43(1):111-126.
    [87]Harris,P.,Rettie,R.,Kwan,C.C.Adoption and Usage of m-commerce:A cross-cultural comparison of Hong Kong and the United States.Journal of Electronic Commerce Research.2005,6(3):210-224.
    [88]Turel,O.,Serenko,A.,Bontis,N.User acceptance of wireless short messaging services:Deconstructing perceived value.Information & Management.2007,44(1):63-73.
    [89]Bouwman,H.,Carlsson,C.,Molina-Castillo,F.J.,Walden,P.Barriers and drivers in the adoption of current and future mobile services in Finland.Telematics and Informatics.2007,24:145-160.
    [90]褚燕,黄丽华.影响员工接受移动商务应用因素研究.研究与发展管理.2007,19(1):72-78.
    [91]陈天娇,胥正川,黄丽华.情景感知服务的用户接受模型研究.科技进步与对策.2007,24(2):142-147.
    [92]闵庆飞,季绍波,韩维贺.针对中国移动商务采纳的UTAUT模型改进.in:黄京华,王刊良,邵培基and郭迅华,editors.信息系统协会中国分会2006年学术研讨会,信息技术采纳:理论发展与中国实践.中国,成都:电子科技大学出版社,2006.
    [93]邓朝华,鲁耀斌,张金隆.基于TAM和网络外部性的移动服务使用行为研究.管理学报.2007,4(2):216-221.
    [94]章勤俭.用户接受移动商务影响因素分析及其应用研究:[硕士学位thesis].经贸管理学院,浙江工业大学,2005.
    [95]Pavlou,P.A.,Lie,T.What Drives Mobile Commerce? A Model of Mobile Commerce Adoption.in:Proceedings of the "Twenty Seventh International Conference on Information Systems"(ICIS 2006).Milwaukee,Wisconsin,U.S.A:2006.
    [96]Nooteboom,B.Trust Opportunism and Governance:A process and control model.Organisation Studies.1996,17(6):985-1010.
    [97]Mayer,R.C.,Davis,J.H.,Schoorman,F.D.An integration model of organizational trust.Academy of Management Review.1995,20(3):709-734.
    [98]Doney,P.M.,Cannon,J.P.An examination of the nature of trust in buyer-seller relationships Journal of Marketing Research.1997,61(2):35-51.
    [99]McKnight,D.H.,Choudhury,V.,Kacmar,C.Developing and Validating Trust Measures for e-Commerce:An Integrative Typology.Information Systems Research.2002b,13(3):334-359.
    [100]Zucker,L.G.Production of Trust:Institutional Sources of Economic Structure.Greenwich 1986.
    [101]Shankar,V.,Urban,G.L.,Sultan,F.Online trust:a stakeholder perspective,concepts,implications,and future directions.Journal of Strategic Information Systems.2002,11(3/4):325-344.
    [102]Salam,A.F.,lyer,L.,Palvia,P.,Singh,R.Trust in e-commerce.Communications of the ACM.2005,48(2):72-77.
    [103]Kim,D.J.,Song,Y.I.,Braynov,S.B.,Rao,H.R.A multidimensional trust formation model in B-to-C e-commerce:a conceptual framework and content analyses of academia/practitioner perspectives.Decision Support Systems.2005,40(2):143-165.
    [104]McKnight,D.H.,Choudhury,V.,Kacmar,C.The Impact of Initial Consumer Trust on Intentions to Transact with a Web Site:a trust building model Journal of Strategic information Systems.2002a,11(3/4):297-323.
    [105]McKnight,D.H.,Cummings,L.L.,Chervany,N.L.Initial trust formation in new organizational relations.Academy of Management Review.1998,23(3):473-490.
    [106]鲁耀斌,周涛.B2C环境下影响消费者网上初始信任因素的实证分析.南开管理评论.2005,8(6):96-101.
    [107]鲁耀斌,董圆圆.电子商务信任问题理论框架研究.管理学报.2005,2(5):522-527.
    [108]严中华,关士续,米加宁.电子商务信任的重要性及其概念辨析.科学学与科学技术管理.2004,(7):93-96.
    [109]庞川,陈忠民,罗瑞文.消费者网络信任影响因素的实证分析.系统工程理论方法应用.2004,13(4):295-299,304.
    [110]周涛.面向交易全过程的电子商务信任研究:[博士学位thesis]..管理学院,华中科技大学,2007.
    [111]周磊.中国在线消费者对在线营销者信任问题的实证研究:[博士学位thesis].管理学院,复旦大学,2005.
    [112]Siau,K.,Shen,Z.Building customer trust in mobile commerce.Communications of the ACM.2003,46(4):91-95.
    [113]Siau,K.,Sheng,H.,Nah,F.,Davis,S.A qualitative investigation on consumer trust in mobile commerce.International Journal of Electronic Business.2004,2(3):283-300.
    [114]Lin,B.Trust in mobile healthcare:research review and implications in:Shreveport,L.S.U.i.,editor.IACIS:2003.576-581.
    [115]Lee,T.The impact of perceptions of interactivity on customer trust and transactions in mobile commerce.Journal of Electronic Commerce Research.2005,6(3):165-180.
    [116]Dahlberg,T.,Mallat,N.,(O|¨)(o|¨)rni,A.Trust enhanced technology acceptance modelconsumer acceptance of mobile payment solutions,in:Proceedings of the Stockholm Mobility Roundtable.Stockholm:2003.
    [117]Kaasinen,E.User acceptances of mobile services - value,ease of use,trust and ease of adoption[Doctoral Dissertation thesis].Tampere University of Technology,2005.
    [118]Bedford,D.W.Empirical investigation of the acceptance and intended use of mobile commerce:location,personal privacy and trust:[Doctoral Dissertation thesis].College of Business and Industry,Mississippi State University,2005.
    [119]Lin,H.-H.,Wang,Y.-S.An examination of the determinants of customer loyalty in mobile commerce contexts.Information & Management 2006,43:271-282.
    [120]Gefen,D.,Karahanna,E.,Straub,D.W.Trust and TAM in online shopping:an integrated model.MIS Quarterly.2003a,27(1):51-90.
    [121]Okazaki,S.,Katsukura,A.,Nishiyama,M.How Mobile Advertising Works:The Role of Trust in Improving Attitudes and Recall.Journal of Advertising Research.2007,47(2):165-178.
    [122]Cho,D.-Y.,Kwon,H.J.,Lee,H.-Y.Analysis of Trust in Internet and Mobile Commerce Adoption.in:Proceedings of the 40th Hawaii International Conference on System Sciences.Hawaii:IEEE,2007.
    [123]Jarvenpaa,S.L.,Tractinsky,N.,Vitale,M.Consumer trust in an Internet store.Information Technology and Management.2000,1(1):45-71.
    [124]Lee,M.K.O.,Turban,E.A Trust Model for Consumer Internet Shopping.International Journal of Electronic Commerce.2001,6(1):75-91.
    [125]Koufaris,M.,Hampton-Sosa,W.Customer trust online:examining the role of the experience with the Web-site.CIS Working Paper Series Zicklin School of Business,Baruch College,New York,NY 2002.
    [126]袁雨飞,王有为,胥正川,杨庆,et al.移动商务.北京:清华大学出版社,2006.
    [127][美]瑞威·克拉克特,玛西娅·罗宾逊著,吕廷杰,郭晓岩等译.移动商务:移动经济时代的竞争法则.北京:中国社会科学出版社,2003.
    [128]Mack.Beyond interactive to deploy wap-enabled ads.Adweek.2000,June 12.
    [129] 信息产业部, 2006年 12月通信行业统计月报, Technical 2007-01-22, 2007.
    [130] Zhang, J. L., Quan, J., Frost, R., McGann, S., et al. M-Commerce in the U.S. and China Retail Industry: Business Models, Critical Success Factors (CSFs), and Case Studies. in: HUang, W. W., Wang, Y. and Day, J., editors. Global Moible Commerce: Strategies, Implementation, and Case Studies, Hershey, New York:Information Science Reference; 2008.
    [131] Chen, D. C, Lancaster, S. The Future of M-Commerce: The Role of Bluetooth and Wimax. in: Huang, W. W., Wang, Y. and Day, J., editors. Global Mobile Commerce, Hershey, New York: Information Science Reference; 2008.
    [132] Nordman, J., Liljander, V. Mobile service quality - a study of contributing factors. Swedish School of Economics and Business Administration. Working paper. 2003.
    [133] 王汝林.移动商务理论与实务.北京:清华大学出版社,2007.
    [134] Varshney, U., Vetter, R. Mobile Commerce: Framework, Applications and Networking Supporting. Mobile Networks and Applications. 2002, 7(3): 185-198.
    [135] 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: 612-620.
    
    [136] Varshney, U. Location Management for Mobile Commerce Applications in Wireless Internet Environment. ACM Transactions on Internet Technology. 2003,3(3): 236-255.
    
    [137] O' Loughlin, M. A. Wireless Internet: Opportunities and Threats. Ovum Group,2000.
    [138] Lehmann, H. Making Sense of Mobile Applications- A Critical Note to Recent Approaches to Their Taxonomy and Classification. in: 15th Bled Electronic Commerce Conference eReality: Constructing the Economy. Bled, Slovenia: 2002.
    [139] Yuan, Y., Zhang, J. J. Towards an appropriate business model for m-commerce.International Journal of Mobile Communications. 2003,1(1/2): 35-56.
    [140] 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.
    [141] Yen, D. C, Chou, D. C. Wireless communications: Applications and Managerial issues. Industrial Management & Data Systems. 2000,100(9): 436-443.
    [142] 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.
    [143] Yoon, J. I., Suh, H. S., Leem, C. S. A Study on Mobile Business Customer Satisfaction. Korea Institute for Industrial Engineering, April. 2003.
    [144] Stoica, M., Stotlar, D. A Model for Small Business New Technology Adoption: the Case of Mobile Commerce. in: Proceedings of 2003 ASBE Conference. Houston,Texas,: 2003.
    [145] Senn, J. A. The emergence of mcommerce. Computer Networks. 2000, 33(12): 148-150.
    [146]ARCGroup.Wireless Industry Showing us the Future for the Internet.Telecommunications International.1999.
    [147]IResearch,2006中国移动商务研究报告,Technical 2006.
    [148]Lu,Y.,Deng,Z.,Wang,B.Tourism and Travel Electronic Commerce in China.Electronic Markets-the International Journal.2007,17(2):101-112.
    [149]杜小慧,周玲强,断健平.移动电子商务在旅游中的应用模式与营销创新.商业经济与管理.2006,177(7):49-52.
    [150]CNNIC,中国互联网络发展状况统计报告(2007年7月),Technical 2007.
    [151]Hoffman,D.,Novak,T.,Peralta,M.Building customer trust online.Communications of ACM.1999,42(4):54-57.
    [152]Keeney,R.L.Value-Focused Thinking.Harvard University Press,1992.
    [153]Keeney,R.L.The Value of Internet Commerce to the Customer.Management Science.1999,45(4):533-542.
    [154]Alhinai,Y.S.,Kurnia,S.,Johnston,R.B.Adoption of Mobile Commerce Services by Individuals:A Meta-Analysis of the Literature.in:Management of Mobile Business,2007.ICMB 2007.International Conference on the Mobile Business.Toronto,ON,Canada:2007.62-62.
    [155]Moon,J.,Kim,Y.Extending the TAM for a world-wide-web context.Information & Management.2001,38(4):217-230.
    [156]Kauffman,R.J.,McAndrews,J.,Wang,Y.M.Opening the 'black box' of network externalities in network adoption.Information Systems Research.2000,11(1):61-82.
    [157]Rohlfs,J.A theory of Interdependent Demand for a Communications Service.Bell Journal Economics.1974,5(1):16-37.
    [158]Lou,H.,Luo,W.,Strong,D.Perceived critical mass effect on groupware acceptance.European Journal of Information Systems.2001,9(2):91-103.
    [159]Bi,J.W.Cultural characteristics of indirectness,in:In W.Z.Hu(Ed.).Aspects of intercultural communication - Proceedings of China's 2nd conference on intercultural communication:Beijing:Foreign Language Teaching and Research Press,335-355,1999.
    [160]Yan,X.,Gong,M.,Thong,J.Y.L.Two tales of one service:User acceptance of short message service(SMS) in Hong Kong and China.INFO.2006,8(1):16-28.
    [161]Mathieson,K.,Peacock,E.,Chin,W.W.Extending the technology acceptance model:The influence of perceived user resources.Data Base for Advances in Information Systems.2001,32(3):86-112.
    [162]Kaiser,H.F.An index of factorial simplicity.Psychometrika.1974,39:31-36.
    [163]Podsakfoff,P.M.,MacKenzie,S.B.,Lee,J.Y.,Podsakoff,N.P.Common Method Biases in Behavioral Research:A Critical Review of the Literature and Recommended Remedies.Journal of Applied Psychology.2003,88(5):879-903.
    [164]Harman,H.H.Modem factor analysis.Chicago:University of Chicago Press,1967.
    [165]Curran,P.J.,West,S.G.,Finch,J.E The robustness of test statistics to non-normality and specification error in confirmatory factor analysis.Psychological Methods.1996,1(1):16-29.
    [166]Hatcher,L.A step-by-step approach to using the SAS(R) system for factor analysis and structural equation modeling.Cary,NC:SAS Institute,1994.
    [167]Nunally,J.C.Psychometric Theory.New York:McGraw-Hill,1978.
    [168]Wortzel,L.Multivariate Analysis.NJ:Prentice Hall,1979.
    [169]DeVellis,R.F.Scale development theory and applications.CA:Sage Publications,1991.
    [170]Barki,H.,Hartwick,J.Measuring User Participation,User Involvement,and User Attitude.MIS Quarterly.1994,18(1):59-82.
    [171]Bagozzi,R.,Yi,Y.On the evaluation of structural equation models.Journal of the Academy of Marketing Science.1998,16:74-94.
    [172]Kerlinger,F.N.Foundations of behavioral research.(3).Fort Worth:Holt Rinehart and Winston,1986.
    [173]Fomell,C.,Larcker,D.F.Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research.1981,18(1):39-50.
    [174]候杰泰,温忠麟,成子娟.结构方程模型及其应用.教育科学出版社,2004.
    [175]Hair,J.F.J.,Anderson,R.E.,Tatham,R.L.,Black,W.C.Multivariate Data Analysis with Readings.NJ:Prentice-Hall,1998.
    [176]Joreskog,K.,Sorbom,D.LISREL 8:Structural Equation Modeling with the SIMPLIS Command Language.Chicago:Scientific Software International,Erlbaum,1993.
    [177]MacCallum,R.C.,Browne,M.W.,Sugawara,H.W.Power analysis and determination of sample size for covariance structure modeling.Psychological Method.1996,2(1):130-149.
    [178]褚燕,黄丽华.基于任务技术匹配理论的移动技术采纳案例研究.in:黄京华,王刊良,邵培基and郭迅华,editors.信息系统协会中国分会2006年学术研讨会,信息技术采纳:理论发展与中国实践.中国,成都:2006.113-117.
    [179]Nah,F.,Siau,K.,Sheng,H.The Value of Mobile Applications:A Utility Company Study.Communications of the ACM.2005,48(2):85-90.
    [180]Sahin,I.,Thompson,A.Using Rogers' Theory to Interpret Instructional Computer Use by CEO Faculty.Journal of Research on Technology in Education.2006,39(1):81-104.
    [181]Vessey,I.Cognitive fit:a theory-based analysis of the graphs versus tables literature.Decision Sciences.1991,22(2):219-240.
    [182]高平,刘文雯,徐博艺.基于TAM/TTF整合模型的企业实施ERP研究.系统 工程理论与实践.2004,24(10):74-79.
    [183]Agarwal,R.,Ahuja,M.,Carter,P.E.,Gans,M.,Early and Late Adopters of IT Innovations:Extensions to Innovation Diffusion Theory.Working paper,in,Editor(?)Editors.1998.p.
    [184]Hernandez,J.M.C.,Mazzon,J.A.Adoption of internet banking:proposition and implementation of an integrated methodology approach.International Journal of Bank Marketing.2007,25(2):72-88.
    [185]He,Q.,Duan,Y.,Fu,Z.,Li,D.An Innovation Adoption Study of Online E-Payment in Chinese Companies.Journal of Electronic Commerce in Organizations.2006,4(1):48-69.
    [186]Kennedy,M.The Adoption and Diffusion of New Industrial Products:A Literature Review.European Journal of Marketing.1983,17(3):31-88.
    [187]王传美,鲁耀斌,童恒庆.基于SEM的B2C电子商务信任评价模型及算法.南开管理评论.2006,9(6):104-108.
    [188]Agarwal,R.,Prasa,J.A conceptual and operational definition of personal innovativeness in the domain of information technology.Information Systems Research.1998,9(2):204-301.
    [189]Gefen,D.,Karahanna,E.,Straub,D.W.Inexperience and experience with online stores:the importance of TAM and trust.IEEE Transactions on Engineering Management.2003b,50(3):307-321.
    [190]Grazioli,S.,Jarvenpaa,S.L.Perils of Internet fraud:an empirical investigation of deception and trust with experienced Internet.IEEE Transactions on Systems,Man,and Cybernetics,Part A- Systems and Humans.2000,30(4):395-410.
    [191]Baron,R.M.,Kenny,D.A.The moderator-mediator variable distinction in social psychological research:conceptual,strategic,and statistical considerations.Journal of Personality and Social Psychology.1986,51(6):1173-1182.
    [192]Carte,T.A.,Russell,C.J.In pursuit of moderation:Nine common errors and their solutions.MIS Quarterly.2003,27(3):479-501.
    [193]Cohen.Statistical Power Analysis for the Behavioral Sciences.(2nd).Hillsdale:NJ:Lawrence Erlbaum,1988.
    [194]周涛,鲁耀斌.结构方程模型及其在实证分析中的应用.工业工程与管理.2006,(5):99-102.
    [195]郭志刚.社会统计分析方法-SPSS软件应用.中国人民大学出版社,1999.
    [196]Chin,W.W.Issues and opinion on structural equation modeling.MIS Quarterly.1998a,22(1):7-16.
    [197]Goodhue,D.,Lewis,W.,Thompson,R.PLS,Small Sample Size,and Statistical Power in MIS Research.in:HICSS '06.Proceedings of the 39th Annual Hawaii International Conference on System Sciences.Hawaii:vol.8,2006.
    [198]王惠文.偏最小二乘回归方法及其应用.北京:国防工业出版社,1999.
    [199]Chin,W.W.The partial least squares approach to structural equation modeling. Mahwah, NJ: Lawrence Erlbaum Associates, 1998b.
    [200] Chin, W. W., Marcolin, B. L., Newsted, P. R. A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study.Information Systems Research. 2003,14(2): 189-217.
    [201] Chin, W. W., PLS - Graph User's Guide, Technical 2001.
    [202] 童恒庆.理论计量经济学.科学出版社,2005.
    [203] Fornell, C, Bookstein, F. Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research. 1982,19:440-452.
    [204] Gefen, D., Straub, D. W., Boudreau, M. Structural equation modeling and regression: Guidelines for research practice. Communications of the Association for Information Systems. 2000,4(7): 1-80.
    [205] Schneeweiss, H. Models with latent variables: LISREL versus PLS. Statistica neerlandica. 1991,45(22): 145-157.
    [206] Chin, W. W. Partial Least Squares is to LISREL as principal components analysis is to common factor analysis. Technology Studies. 1995, 2(2): 315-319.
    [207] Wang, Y.-S., Wang, Y.-M., Lin, H.-H., Tang, T.-I. Determinants of user acceptance of internet banking: An empirical study. International Journal of Service Industry Management. 2003,14(5): 501-519.

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