地产开发企业物联网技术采纳行为研究
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摘要
物联网技术的发展在我国已经有了十年的历史，2009年8月，时任总理温家宝在视察中科院无锡物联网产业研究所时，提出“感知中国”这一概念，此后，物联网被正式列为我国五大新兴战略型产业之一，写入政府工作报告。2012年2月14日，工信部颁布中国的第一个物联网五年规划——《物联网“十二五”发展规划》，由此，在政府的重视下，物联网的发展成为整个中国社会关注的焦点。
地产行业在我国20年的飞速发展之后，在调控不放松的大背景下，融资渠道逐渐变窄，开发和建设成本日益增长，使得地产开发企业的压力倍增。越来越多的地产开发企业认识到需要通过开发新的产品和营销点来提升自身的优势和市场地位。而随着人们生活水品的提升，人们对居住环境有了越来越多的要求，互联网、通讯技术的普及和渗透更加从根本上改变了人们的很多生活方式，希望可以通过现代技术的运用让生活更加智能化和高品质，而且当前环境问题日益突出，人们也越来越重视生活中的环保。物联网和地产开发企业的结合正好迎合了绿色环保和智能化生活的理念。而国家也在一些经济条件较好的地区进行物联网基地试验，所有这一切都让地产开发企业认识到通过与物联网的结合建立专门的地产开发企业物联网，可以从本质上提升小区的生活品质，吸引更多的客户群，也能更加科学地利用所有资源，做到环保和可持续发展。而目前学者关于物联网的研究还是处在技术研究和应用阐述阶段，由于缺乏权威的研究成果，很多定义和概念都没有统一的确定，尽管一些学者也对物联网在地产业的应用做了研究，但几乎也是泛泛而谈，没有系统深入地进行分析，更缺乏关于专门针对地产行业的物联网采纳和应用问题的研究。因而本文的研究课题在理论上能为物联网在地产业的应用这个研究主题适当填补一些空白。
本文同时从全局视角，以主导者地产开发企业为切入点研究分析了地产开发企业对物联网的采纳行为，并探讨了该物联网发展中存在的问题等。主要研究了以下几个方面的内容：（1）按照从小到大的视角，逐步深入分析了地产开发企业物联网的应用；（2）剖析了该物联网各个节点企业，结合地产业的特殊性，创新性地提出了地产开发企业物联网商业模式；（3）从过程的角度分析了地产开发企业物联网的价值链体系、盈利方式和利益分配方式；（4）在总结和分析相关研究成果的基础上，结合地产开发企业和物联网技术的特征，构建了地产开发企业物联网技术采纳行为模型，并通过问卷调查对模型和假设进行了实证检验，剖析地产开发企业采纳物联网技术的影响因素及各影响因素之间的关系，揭示其内在联系；（5）分析了地产开发企业应用物联网技术的现状及存在的问题，针对地产开发企业采纳物联网这一问题提出了管理上的对策与建议。
本文的创新点主要体现在以下几个方面：
（1）本文对地产企业物联网应用的概念内涵进行解析和定义，并从具体的单个房屋物联网应用到多个小区联合的生态物联网小区建设等详细分析了地产物联网的应用，并总结了地产物联网的具体特征。
（2）本文对地产开发企业物联网的商业模式进行了深入而详细的分析，总结出地产开发企业物联网的商业模式，并针对性地分析了该物联网的相关客体及其内在关系，在此基础上，分析了地产开发企业物联网具体的服务内容，详细阐述了物联网在地产业的应用和意义。从经济角度分析了地产开发企业物联网构建的成本和盈利方式及利润分配模式。从实际角度展现了物联网在地产业的实际意义。
（3）本文构建了一个比较完整的地产开发企业物联网技术采纳行为模型，揭示出地产开发企业物联网技术采纳行为的关键影响因素及相互的作用关系，在影响因素的考察上充分考虑到了地产开发企业的特征，为企业针对性地进行技术采纳提供理论依据。
（4）本文对构建的地产开发企业物联网技术采纳行为模型进行实证，验证模型中相关假设的真实性，尤其是验证了新引入变量的真实有效性。根据已有相关研究，构建了一套测度指标体系，通过调研数据验证模型及相关假设。检验结果表明本文所提大部分假设都成立，证明了本文所提模型的有效性，总结出影响地产开发企业物联网技术采纳的一系列关键因素的相互关系，从实践角度为地产开发企业以及物联网相关企业提供决策支持。
（5）本文提出地产开发企业物联网商业模式和地产开发企业物联网技术采纳的管理借鉴。指出地产开发企业物联网技术发展过程中存在的一系列问题；指出地产开发企业物联网商业模式以及地产开发企业物联网采纳问题的现状和发展障碍，提出了相应的对策和建议。
Development of the Internet of Things technology in our country has had decadesof history, in August2009, Premier Wen Jiabao during his inspection of Wuxi theInternet of Things Industry Research Institute of Chinese Academy of Sciences,proposed the concept "Sensing China", then, the Internet of Things was officiallylisted as one of the top five emerging strategic industries, written in the governmentwork report. February14,2012, the Ministry issued the first Chinese five-year planabout the Internet of Things-"" Twelfth Five-Year "development plan of the Internetof Things", thus, under the government's attention, the development of the Internet ofThings becomes whole Chinese society focus.
The real estate industry in China after20years of rapid development, under thebackground that the regulation does not relax, financing channels gradually narrowing,developing and construction costs increase, making double pressure on real estatedevelopment enterprises. More and more real estate development companiesrecognize the necessary to enhance their strengths and market position by developingnew products and market points. With the upgrading of people's living standards,people has been more and more demands to living environment, the Internet andcommunication technology diffusion and penetration has changed people's way of lifefundamentally, hope that through the use of modern technology to make life moreintelligent and high-quality, and current environmental issues have becomeincreasingly prominent, people living in more and more attention to environmentalprotection. The combination of the Internet of things and real estate developmententerprises just meet the concept of green and intelligent life. Our country also makebasic test of the Internet of Things in some of the areas with better economicconditions, all of which make the real estate development enterprises recognize thatestablish specialized real estate development enterprise networking through thecombination with the IOT, can enhance the community's life essence quality to attractmore customers, moreover, can use all resources scientifically, to achieveenvironmental protection and sustainable development. Scholars’ present research onthe Internet of Things still in stage of technology research and application elaboration,due to the lack of authoritative research, many definitions and concepts are notuniform identified, although some scholars have applied to things in the real estateindustry to do the research, However, almost the generalities, there is no system toanalyze deeply, more specifically about the lack of networking for the real estateindustry adoption and application of materials research. Thus, in theory, researchpaper can fill some of the gaps appropriately with the study of the Internet of Thingsin the real estate industry topics.
This paper both from the view of global leader and real estate developmentcompanies to research and analysis on real estate development enterprise adoption behavior of the Internet of things, and to explore the problems during the developmentof IOT. This paper mainly studies the following aspects:(1) in accordance with theperspective of small to large, and gradually in-depth analysis of the real estatedevelopment enterprise the Internet of Things applications;(2) analysis of the variousnodes of the enterprise the Internet of Things, in conjunction particularity industry,put forward innovative real estate development enterprise the Internet of Thingsbusiness model;(3) analysis of the process from the perspective of a real estatedevelopment enterprise value chain system of things, distribution of earnings andbenefits;(4) summarizing research results and analysis based on the bindingcharacteristics of real estate development companies and the Internet of Thingstechnologies to build a real estate development enterprise the Internet of Thingstechnology adoption behavior models, and through a questionnaire survey of theempirical model and test hypotheses, analyze the impact of real estate developmententerprise Internet of Things technology adoption various factors that affect therelationship between factors, revealing its internal relations;(5) analysis of the currentsituation in real estate development enterprise applications and Internet of Thingstechnology problems in networking for the real estate development enterprises in thisissue put forward countermeasures adopted by the management on the matter of andrecommendations.
Specifically, the innovation of this paper is mainly reflected in the followingaspects:
(1) In this paper, we analysis and define the conception applied by the Internet ofThings of the real estate enterprise, and detail analysis the application of networkingproducts from the specific networking applications into a single housing tomultiple-cell community building the Internet of Things, and summarizes the groundproduct specific features of networking.
(2) In this paper, we made an in-depth and detailed analysis about real estatedevelopment enterprise Internet of Things technology business model, summed up thereal estate development enterprises of things common business model and targetedanalysis of the relevant subject matter and its intrinsic relationship to the Internet ofThings. Based on above, we analyzed the specific Internet of Things services,elaborated on the application and significance of the Internet of Things in the realestate industry. From an economic point of view of real estate development enterpriseInternet of Things cost and profitable way to build and profit distribution model. Froma practical point of view to show the real meaning of Internet of Things in the realestate industry.
(3) The paper builds a relatively complete the Internet of Things technologyadoption behavior model of real estate development enterprise, reveals the key factorsand mutual effect relationship of real estate development enterprise the Internet ofThings technology adoption behavior, we fully considered the real estate development enterprises features under the factors influencing, and provide a theoretical basis forenterprises technology adoption.
(4) In this paper, real estate development enterprise the Internet of Thingstechnology adoption behavior constructed an empirical model to verify theauthenticity of the underlying assumptions of the model, especially to verify the realeffectiveness of a new variable. According to the existing research, to build a set ofmeasurement index system, to validate the model and underlying assumptions byresearch data. Test results show that the majority of assumptions mentioned in thisarticle are true, prove the effectiveness of the proposed model, summed up therelationship between a number of key factors affecting the real estate developmententerprise the Internet of Things technology adoption, from a practical point of viewas well as real estate development enterprises matter networking related businesses toprovide decision support.
(5) This paper presents the management of real estate development enterpriseInternet of Things technology reference. The paper pointed out that a series ofproblems existed in the development process in real estate development enterpriseInternet of Things technologies, as well as a series of policy recommendations for thedevelopment of the real estate industry Internet of Things. From the perspective of theparticipating subjects, the analysis of the real estate industry Internet of Thingsstrategy. Providing a range of marketing advice to Internet of Things on the real estateindustry.
地产行业在我国20年的飞速发展之后，在调控不放松的大背景下，融资渠道逐渐变窄，开发和建设成本日益增长，使得地产开发企业的压力倍增。越来越多的地产开发企业认识到需要通过开发新的产品和营销点来提升自身的优势和市场地位。而随着人们生活水品的提升，人们对居住环境有了越来越多的要求，互联网、通讯技术的普及和渗透更加从根本上改变了人们的很多生活方式，希望可以通过现代技术的运用让生活更加智能化和高品质，而且当前环境问题日益突出，人们也越来越重视生活中的环保。物联网和地产开发企业的结合正好迎合了绿色环保和智能化生活的理念。而国家也在一些经济条件较好的地区进行物联网基地试验，所有这一切都让地产开发企业认识到通过与物联网的结合建立专门的地产开发企业物联网，可以从本质上提升小区的生活品质，吸引更多的客户群，也能更加科学地利用所有资源，做到环保和可持续发展。而目前学者关于物联网的研究还是处在技术研究和应用阐述阶段，由于缺乏权威的研究成果，很多定义和概念都没有统一的确定，尽管一些学者也对物联网在地产业的应用做了研究，但几乎也是泛泛而谈，没有系统深入地进行分析，更缺乏关于专门针对地产行业的物联网采纳和应用问题的研究。因而本文的研究课题在理论上能为物联网在地产业的应用这个研究主题适当填补一些空白。
本文同时从全局视角，以主导者地产开发企业为切入点研究分析了地产开发企业对物联网的采纳行为，并探讨了该物联网发展中存在的问题等。主要研究了以下几个方面的内容：（1）按照从小到大的视角，逐步深入分析了地产开发企业物联网的应用；（2）剖析了该物联网各个节点企业，结合地产业的特殊性，创新性地提出了地产开发企业物联网商业模式；（3）从过程的角度分析了地产开发企业物联网的价值链体系、盈利方式和利益分配方式；（4）在总结和分析相关研究成果的基础上，结合地产开发企业和物联网技术的特征，构建了地产开发企业物联网技术采纳行为模型，并通过问卷调查对模型和假设进行了实证检验，剖析地产开发企业采纳物联网技术的影响因素及各影响因素之间的关系，揭示其内在联系；（5）分析了地产开发企业应用物联网技术的现状及存在的问题，针对地产开发企业采纳物联网这一问题提出了管理上的对策与建议。
本文的创新点主要体现在以下几个方面：
（1）本文对地产企业物联网应用的概念内涵进行解析和定义，并从具体的单个房屋物联网应用到多个小区联合的生态物联网小区建设等详细分析了地产物联网的应用，并总结了地产物联网的具体特征。
（2）本文对地产开发企业物联网的商业模式进行了深入而详细的分析，总结出地产开发企业物联网的商业模式，并针对性地分析了该物联网的相关客体及其内在关系，在此基础上，分析了地产开发企业物联网具体的服务内容，详细阐述了物联网在地产业的应用和意义。从经济角度分析了地产开发企业物联网构建的成本和盈利方式及利润分配模式。从实际角度展现了物联网在地产业的实际意义。
（3）本文构建了一个比较完整的地产开发企业物联网技术采纳行为模型，揭示出地产开发企业物联网技术采纳行为的关键影响因素及相互的作用关系，在影响因素的考察上充分考虑到了地产开发企业的特征，为企业针对性地进行技术采纳提供理论依据。
（4）本文对构建的地产开发企业物联网技术采纳行为模型进行实证，验证模型中相关假设的真实性，尤其是验证了新引入变量的真实有效性。根据已有相关研究，构建了一套测度指标体系，通过调研数据验证模型及相关假设。检验结果表明本文所提大部分假设都成立，证明了本文所提模型的有效性，总结出影响地产开发企业物联网技术采纳的一系列关键因素的相互关系，从实践角度为地产开发企业以及物联网相关企业提供决策支持。
（5）本文提出地产开发企业物联网商业模式和地产开发企业物联网技术采纳的管理借鉴。指出地产开发企业物联网技术发展过程中存在的一系列问题；指出地产开发企业物联网商业模式以及地产开发企业物联网采纳问题的现状和发展障碍，提出了相应的对策和建议。
Development of the Internet of Things technology in our country has had decadesof history, in August2009, Premier Wen Jiabao during his inspection of Wuxi theInternet of Things Industry Research Institute of Chinese Academy of Sciences,proposed the concept "Sensing China", then, the Internet of Things was officiallylisted as one of the top five emerging strategic industries, written in the governmentwork report. February14,2012, the Ministry issued the first Chinese five-year planabout the Internet of Things-"" Twelfth Five-Year "development plan of the Internetof Things", thus, under the government's attention, the development of the Internet ofThings becomes whole Chinese society focus.
The real estate industry in China after20years of rapid development, under thebackground that the regulation does not relax, financing channels gradually narrowing,developing and construction costs increase, making double pressure on real estatedevelopment enterprises. More and more real estate development companiesrecognize the necessary to enhance their strengths and market position by developingnew products and market points. With the upgrading of people's living standards,people has been more and more demands to living environment, the Internet andcommunication technology diffusion and penetration has changed people's way of lifefundamentally, hope that through the use of modern technology to make life moreintelligent and high-quality, and current environmental issues have becomeincreasingly prominent, people living in more and more attention to environmentalprotection. The combination of the Internet of things and real estate developmententerprises just meet the concept of green and intelligent life. Our country also makebasic test of the Internet of Things in some of the areas with better economicconditions, all of which make the real estate development enterprises recognize thatestablish specialized real estate development enterprise networking through thecombination with the IOT, can enhance the community's life essence quality to attractmore customers, moreover, can use all resources scientifically, to achieveenvironmental protection and sustainable development. Scholars’ present research onthe Internet of Things still in stage of technology research and application elaboration,due to the lack of authoritative research, many definitions and concepts are notuniform identified, although some scholars have applied to things in the real estateindustry to do the research, However, almost the generalities, there is no system toanalyze deeply, more specifically about the lack of networking for the real estateindustry adoption and application of materials research. Thus, in theory, researchpaper can fill some of the gaps appropriately with the study of the Internet of Thingsin the real estate industry topics.
This paper both from the view of global leader and real estate developmentcompanies to research and analysis on real estate development enterprise adoption behavior of the Internet of things, and to explore the problems during the developmentof IOT. This paper mainly studies the following aspects:(1) in accordance with theperspective of small to large, and gradually in-depth analysis of the real estatedevelopment enterprise the Internet of Things applications;(2) analysis of the variousnodes of the enterprise the Internet of Things, in conjunction particularity industry,put forward innovative real estate development enterprise the Internet of Thingsbusiness model;(3) analysis of the process from the perspective of a real estatedevelopment enterprise value chain system of things, distribution of earnings andbenefits;(4) summarizing research results and analysis based on the bindingcharacteristics of real estate development companies and the Internet of Thingstechnologies to build a real estate development enterprise the Internet of Thingstechnology adoption behavior models, and through a questionnaire survey of theempirical model and test hypotheses, analyze the impact of real estate developmententerprise Internet of Things technology adoption various factors that affect therelationship between factors, revealing its internal relations;(5) analysis of the currentsituation in real estate development enterprise applications and Internet of Thingstechnology problems in networking for the real estate development enterprises in thisissue put forward countermeasures adopted by the management on the matter of andrecommendations.
Specifically, the innovation of this paper is mainly reflected in the followingaspects:
(1) In this paper, we analysis and define the conception applied by the Internet ofThings of the real estate enterprise, and detail analysis the application of networkingproducts from the specific networking applications into a single housing tomultiple-cell community building the Internet of Things, and summarizes the groundproduct specific features of networking.
(2) In this paper, we made an in-depth and detailed analysis about real estatedevelopment enterprise Internet of Things technology business model, summed up thereal estate development enterprises of things common business model and targetedanalysis of the relevant subject matter and its intrinsic relationship to the Internet ofThings. Based on above, we analyzed the specific Internet of Things services,elaborated on the application and significance of the Internet of Things in the realestate industry. From an economic point of view of real estate development enterpriseInternet of Things cost and profitable way to build and profit distribution model. Froma practical point of view to show the real meaning of Internet of Things in the realestate industry.
(3) The paper builds a relatively complete the Internet of Things technologyadoption behavior model of real estate development enterprise, reveals the key factorsand mutual effect relationship of real estate development enterprise the Internet ofThings technology adoption behavior, we fully considered the real estate development enterprises features under the factors influencing, and provide a theoretical basis forenterprises technology adoption.
(4) In this paper, real estate development enterprise the Internet of Thingstechnology adoption behavior constructed an empirical model to verify theauthenticity of the underlying assumptions of the model, especially to verify the realeffectiveness of a new variable. According to the existing research, to build a set ofmeasurement index system, to validate the model and underlying assumptions byresearch data. Test results show that the majority of assumptions mentioned in thisarticle are true, prove the effectiveness of the proposed model, summed up therelationship between a number of key factors affecting the real estate developmententerprise the Internet of Things technology adoption, from a practical point of viewas well as real estate development enterprises matter networking related businesses toprovide decision support.
(5) This paper presents the management of real estate development enterpriseInternet of Things technology reference. The paper pointed out that a series ofproblems existed in the development process in real estate development enterpriseInternet of Things technologies, as well as a series of policy recommendations for thedevelopment of the real estate industry Internet of Things. From the perspective of theparticipating subjects, the analysis of the real estate industry Internet of Thingsstrategy. Providing a range of marketing advice to Internet of Things on the real estateindustry.
引文
[1] Agarwal R, Prasad J. A conceptual and operational definition of personalinnovativeness in the domain of information technology[J]. Information SystemsResearch,1998,9(2):204-215.
[2] AI-Gahtani S, Hubona G S, Wang J J. Information technology(IT) in SaudiArabia: Culture and the acceptance and use of IT [J]. Information andManagement,2007,44,681-691.
[3] Ajzen I．From Intention to Actions: A Theory of Planned Behavior［M］．Berlin:Springer，1985.
[4] Alavi M, Carlson P, A Review of MIS Research and Disciplinary Development[J]. Journal of Management Information Systems,1992,8(4):45-62.
[5] Ansoff H. Igor, Corporate Strategy [M]. New York: McGraw-Hill,1965.
[6] Asif Z, Mandviwalla M. Integrating the Supply Chain with RFID: A Technicaland Business Analysis[J]. Communications of the AIS,2006,(15):393-427.
[7] Atzori L, Iera A, Morabito G. The Internet of Things: a survey, ComputerNetworks,2010(54):2787–2805.
[8] Bauer R A. Consumer behavior as risk raking[A]. Hancock R S. DynamicMarketing for a Changing World[C]. Proceedings of the43rd Conference of theAmerican Marketing Association,1960.389-398.
[9] Bhattacharya M, Chu C H, Mullen T. RFID Implementation in Retail Industry:Current Status, Issues, and Challenges[A]. Decision Science Institute(DSI)Conference2007[C].Phoenix: AZ,2009:201-203.
[10]Broll.G, Rukzio.E, Paolueei.M, Wdgner.M, Sehmidt.A., Hussmann.H.Perci:Pervasive Service Interaction with the internet of Things[C].IntemetComPuting, IEEE,2009,13(6):74一8
[11]Brown A, Bakhru A. Information Systems Innovation Research and the Case ofRFID[J]. International Federation for Information Processing,2007,(235):363-376.
[12]Brown I, Russe J. Radio Frequency Identification Technology: An exploratoryStudy on Adoption in the South African Retail Sector[J]. InformationManagement,2007,27(4):250-265.
[13]Bryman A, Cramer D. Quantitative Data Analysis With SPSS12and13: A GuideFor Soeial Seientists[M], Routledge, London,1997.
[14] Chan E, Mills A. Implementation of enterprise resource planning (ERP) softwarein a major construction contracting organization in Hong Kong[J]. InternationalJournal of Managing Projects in Business,2011,4(1):168-178.
[15]Chao C C, Yang J M, Jen W Y. Determining Technology Trends and Forecasts ofRFID by a historical Review and bibliometric Analysis from1991to2005[J].Technovation,2007,27(5):268-279.
[16]Chen J, Ching R. An empirical study of the relationship of IT intensity andorganizational absorptive capacity on CRM performance [J]. Journal of GlobalInformation Management [J].2004,12(1):1-17.
[17]Chiu C, Wang E T. Understanding Web-based learning continuance intention: Therole of subjective task value[J]. Information&Management,2008,45(3):194-201.
[18]Chong A Y. Predicting m-commerce adoption determinants: A neural networkapproach[J]. Expert Systems with Applications,2013,40(2):523-530.
[19]Chong S, Pervan G. Factors influence the extent of deployment, Of electroniccommerce for small and medium sized enterprise[J], Journal of ElectronicCommerce in Organization,2007,5(1):1-29.
[20]Churchill G A. A paradigm for developing better measures of marketingconstructs [J]. Journal of Marketing Research,1979,16(3):64-73.
[21]Cohen W M, Levinthal D A. Absorptive capacity: A new perspective on learningand innovation [J]. Administrative Science Quarterly,1990,35(1):128-152.
[22]Cooper R B, Zumd R W. Information technology implementation research: atechnological diffusion approach [J]. Management Science,1990,36(2):123-139.
[23]David B. The transparent society: Will technology force us to choose betweenprivacy and freedom[J]? Harvard Journal of Law&Technology,1999,12(2):202-222.
[24]Davis F D. Perceived usefulness, perceived ease of use, and user acceptance ofinformation technology[J].MIS Quarterly,1989,(13):319-340.
[25]Dholakia R R, Zhao M. Retail web site interactivity: How does it influencecustomer satisfaction and behavioral intentions?[J]. International Journal ofRetail&Distribution Management,2009,37(10):821-838
[26]Dinev T, Hart P. Internet privacy concerns and social awareness as determinantsof intention to transact[J].International Journal of Electronic Commerce,2005,10(2):7-29.
[27]Duquennoy S, Grimaud G, and Vandewalle J.The web of things: interconnectingdevices with high usability and performance[C]. The6th IEEEInternational Conference on Embedded Software and Systems, HangZhou,Zhejiang, China,2009.
[28]Dyck J L, Smither J A. Age differences in computer anxiety: The role ofcomputer experience, gender and education [J]. Journal of EducationalComputing Research,1994,10(3),239-245.
[29]Fang J M, Shao P J, Lan G. Effects of Innovativeness and Trust on Web SurveyParticipation[J]. Computers in Human Behavior,2009,25(1):144-152
[30]Fiore A.M，Kim J，Lee H. Effect of Image Interactivity Technology on ConsumerResponses toward the Online Retailer[J].Journal of Interactive Marketing，2005（3）：38-53.
[31]Fishbein M，Ajzen I．Belief，Attitude，Intention and Behavior: An Introductionto Theory and Research［M］．Mass: Addison－Wesley Publishing Company，1975.
[32]Fornell C, Lareker D, Evaluating Struetural Equation Models with UnobservableVariables and Measurement Error[J]. Journal of Marketing Researh,1981,(18):39-50.
[33]Gefen D,Straub D. Gender differences in the perception and use of e-mail: anextension of technology acceptance model [J]. MIS Quarterly,1997,21(4),389-400.
[34]Goodhue D L, Thompson R L. Task-technology Fit and Individual Performance[J]. MIS Quarterly,1995,19(2):213-236.
[35]Goodhue D, Thompson R. Task-technology fit and individual performance [J].MIS Quarterly,1995,19(2):213-236.
[36]Gorsueh R L. FaetorAnalysis[M], LawreneeErlbaum, NJ,1983
[37]Guinard D, Trlfa V, Pham T, and Liechti O. Towards Physical Mashups in theWeb of Things[C].The6th International Conference on Networked SensingSystems,2009.
[38]Hair J, Anderson R E, Tatham R L, et al. Multivariate Data Analysis[M],Prentice-Hall, Upper Saddle Rive,1998.
[39]Héctor San Martín, ángel Herrero. Influence of the user’s psychological factorson the online purchase intention in rural tourism: Integrating innovativeness tothe UTAUT framework[J]. Tourism Management,2012,33(2):341-350.
[40]Ho L, Hung C, Chen H. Using theoretical models to examine the acceptancebehavior of mobile phone messaging to enhance parent–teacher interactions [J].Computers&Education,2013,61(2):105-114.
[41]Hong S J, Thong J Y L, Tam K Y, Understanding Continued InformationTechnology Usage Behavior: A Comparison of Three Models in the Context ofMobile Internet[J]. Decision Support Systems,2006,42(3):1819-1834
[42]Hossain M M, Prybutok V R. Consumer Acceptance of RFID Technology: AnExploratory Study[J]. IEEE Transactions On Engineering Management,2008,55(2):316-326.
[43]Huber N, Michael K, McCathie L. Barriers to RFID Adoption in the SupplyChain[A].IEEE RFID Eurasia[C]. Istanbul: Turkey,2007:1-6.
[44]Hui J and Culler D. Extending IP to Low-Power, wireless personal areanetworks[J]. Internet Computing,2008,12(4):37-45.
[45]Hung S, Chang C, Yu T. Determinants of user acceptance of the e-Governmentservices: The case of online tax filing and payment system[J]. GovernmentInformation Quarterly,2006,23(1):97-122.
[46]Hung S. et al. Critical Factors of WAP Services Adoption: An Empirical Study,Electronic Commerce Research and Applications,2003,2(1):42-60.
[47]Huyskens C, Loebbecke C. RFID Adoption: Theoretical Concepts and theirpractical Application in ashion[J]. International Federation for InformationProcessing,2007,(235):345-361.
[48]Igbaria M, Parasuraman S. A Path Analytic Study of Individual Characteristics,Computer Anxiety and Attitudes toward Microcomputers [J]. Journal ofManagement,1989,15(3),373-388.
[49]Im I, Kim Y, Han H. The effects of perceived risk and technology type on users’acceptance of technologies[J]. Information&Management,2008,45(1):1-9.
[50]Ima I, Hongb S, Kangc M S. An international comparison of technology adoption:Testing the UTAUT model[J]. Information&Management,2011,48(1):1-8.
[51]Itami Hiroyuki. Mobilizing Invisible Assets [M].Cambridge:Harvard UniversityPress,1987.
[52]Janos S, John A. S, David E. Corman, Industry–Academy Collaboration inCyber Physical Systems (CPS) Research [C], the CCC Workshop on New Formsof Industry–Academy Partnership in CPS Research, August31,2009.
[53]Jones P, Clarke-Hill C, Hillier D, Comfort D. The Benefits, Challenges andImpacts of Radio Frequency Identification Technology(RFID)for Retailers in theUK[J]. Marketing Intelligence&Planning,2010,23(4):395-402.
[54]Jones P, Clarke-Hill C, Shears P, Comfort D, Hillier D. Radio FrequencyIdentification in the UK: Opportunities and Challenges[J]. Retail&DistributionManagement,2004,32(3):164-171.
[55]Juels A. RFID security and privacy: a research survey[J]. IEEE Journal onSelectedAreas in Communications24(2006)381–394.
[56]Kim H， et al. Value-based Adoption of Mobile Internet: An EmpiricalInvestigation, Decision Support System,2007,43(1):111-126.
[57]Koh C E, Kim H J, Kim E Y. The Impact of RFID in Retail Industry: Issues andcritical Success Factors[J].Journal of Shopping Center Research,2011,13(1):101-118.
[58]KortUem.G, kawsar. F, Fitton.D, Sundramoorthy.V. smart objeets as buildingblocks for the Internet of things[J].Intemet ComPuting,IEEE,2010,14(1):44-51.
[59]Kraemer K L, Dutton W H. Survey Research in the Study of ManagementInformation Systems[J]. Harvard Business School Research Colloquium,1991,(4):21-35.
[60]Kranz.M, Holleis.P, Sehmidt.A. Embedded Interaetion:Interaeting with theInternet of Things[C]. Intemet Computing,IEEE,2010,14(2):46一53.
[61]Laguna K, Babcoek R. Computer Anxiety in Young and Older Adults [J].Computers in Human Behavior,1997,13(3),317-326.
[62]Lai F, Hutchinson J, Zhang G. Radio Frequency Identification(RFID) in China:Opportunities and Challenges[J]. International Journal of Retail&DistributionManagement,2005,33(12):905-916.
[63]Lai K H, Ngai E W T, Cheng T C E. Information Technology Adoption in HongKong's Logistics Industry[J]. Transportation,2009,44(4):1-9.
[64]Lai K H, Wong C W Y, Cheng T C E. Institutional Isomorphism and the Adoptionof Information Technology for Supply Chain Management[J]. Computers inIndustry,2010:57(1):93-98.
[65]Lee I, Chung H. What should we watch over to adopt RFID for pharmaceuticalSupply Chain in Korea? Advanced Communication Technology(ICACT2006)[A]. The8th International Conference[C]. Phoenix Park&Korea,2006:981-985.
[66]Leimeister J M, Knebel U, Krcmar H. RFID as Enabler for the boundlessreal-timeOrganization: Empirical Insights from Germany[J]. Networking andVirtual Organizations,2007,4(1):45-64.
[67]Leimeister J M, Knebel U, Krcmar H. RFID as Enabler for the boundlessreal-time Organization: Empirical Insights from Germany[J]. Networking andVirtual Organizations.2009,4(1):45-64.
[68]Lichtenstein S, Williamson K. Understanding Consumer Adoption of InternetBanking: An Interpretive Study in the Australian Banking Context [J]. Journal ofElectronic Commerce Research,2006,7(2),50-66.
[69]Liu Y P，Shrum L J. What Is Interactivity and Is It Always Such a Good Thing?Implications of Definition， Person， and Situation for the Influence ofInteractivity on Advertising Effectiveness [J]. Journal of Advertising，2002（Winter）：53-64.
[70]Liu Y P. Developing a Scale to Measure the Interactivity of Websites [J].Journalof Advertising Research，2003（2）：207-216.
[71]Luo Z, Tan Z, Ni Z, Yen B. Analysis of RFID Adoption in China[A]. IEEEInternational Conference on e-Business Engineering[C].2007:315-318.
[72]Madlberger M. A Model of Antecedents of RFID Adoption Intention in theSupply Chain[C]. Proceedings of the42nd Hawaii International Conference onSystem Sciences,2009.
[73]Marshall A, Principle of Economics [M].London:Macmillan,1920.
[74]Mawhinney C H, Lederer A L. A study of personal computer utilization bymanagers[J]. Information&Management,1990,18(5):243-253.
[75]Min Q, Ji S, Qu G. Mobile Commerce User Acceptance Study in China: ARevised UTAUT Model[J]. Tsinghua Science&Technology,2008,13(3):257-264.
[76]Mohamed M A Y. Interactive E-shopping Experience：an Empirical Investigation[D].Texas A&M University，2004.
[77]Moore G C, Benbasat I. Development of an instrument to measure theperceptions of adopting an information technology innovation [J]. InformationSystem Research,1991(3):192-223.
[78]Mueller R. Structural Equation Modeling: Back to Basics[J]. Structural EquationModeling,1997,(4):353-369.
[79]Nilakanta S, Scamell R. The effect of information sources and communicationchannels on the diffusion of innovation in a data base developmentenvironment[J]. Management Science,1990,36(l):24-40.
[80]Nowak G J, Phelps J. Understanding privacy concerns: An assessment ofconsumers’ information related knowledge and beliefs[J]. Journal of DirectMarketing,1992(6):28-39.
[81]Nunnally J. Psychometric theory [M]. New York: McGraw-Hill.1978.
[82]Ohkubo M， Suzuki K， Kinoshita S. RFID privacy issues and technicalchallenges[J].Communications of the ACM.2005,48(9):66–71.
[83]Peason J M, Crosby L, Bahmanziari T, Conrad E. An empirical investigation intothe relationship between organizational culture and computer efficacy asmoderated by age and gender [J]. Journal of Computer Information Systems,2003,43(2),58-70.
[84]Porter, M.E. The Competitive Advantage of Nations[M].London andBasingstoke: The Macmillan Press Ltd,1990.
[85]Powell A, Williams C K, Bock D B, et al. e-Voting intent: A comparison of youngand elderly voters[J]. Government Information Quarterly,2012,29(3):361-372.
[86]Premkumar G&Robert M. Adoption of new information technologies in ruralsmall business [J]. OMEGA-International Journal of Management Science,1999,27(4):467-484.
[87]Premkumar G, Ramamurthy K, Nilakanta S. Implementation of electronic datainterehange: An innovation diffusion perspeetive1J]. Journal of ManagementInformation Systems,1994,11(z):57-165.
[88]Quaadgras A.Who joins the Platform? The Case of the RFID BusinessEcosystem[J]. Proceedings of the38th Hawaii International Conference onSystem Sciences,2005:269.
[89]Ranganathan C, Jha S. Adoption of RFID Technology:An exploratoryExamination from Supplier’s Perspective[C]. Proceedings of the11th AmericasConference on Information Systems(AmCIS),2007:2195-2199.
[90]Riggins F J, Slaughter K T. The Role of Collective Mental Models in IOSAdoption: Opening the Black Box of Rationality in RFID Deployment[A].Proceedings of the39th Hawaii International Conference on SystemSciences(HICSS)[C]. Hawaii: HI.2006:183-184.
[91]Robey D. User Attitudes and Management Information System use[J]. Academyof Management Journal,1979,22(3):527-538.
[92]Rogers E M. Diffusion of Innovations [M]. New York: The Free Press,1983
[93]Rogers E M. Diffusion of Innovations, Fourth Ed[M]. The Free Press, New York,1995.
[94]Scupola, A. Adoption of E-commerce in Small and Medium Size Enterprises inAustralia [A]. The Tenth Americas Conference on Information Systems [C].New York: Proceedings of the10th Americas Conference on InformationSystems,2004.
[95]Seymour L, Lambert Porter E, Willuweit L. RFID Adoption into the ContainerSupply Chain: Proposing a Framework[A]. Proceedings of the6th AnnualISOnEworld Conference[J]. Las Vegas: IEEE,2010:431-435.
[96]Sharma A, Citurs A, Konsynski B. Strategic and Institutional Perspectives in theAdoption and Early Integration of Radio Frequency Identification(RFID)[A].Proceedings of the40th Hawaii International Conference on System Sciences(HICSS)[C]. Hawaii: HI,2007:223-230.
[97]Sharma A, Citurs A. Radio Frequency Identification(RFID)Adoption Drivers: ARadical Innovation Adoption Perspective[J]. Proceedings of the11th AmericasConference on Information Systems(Am CIS),2007,(3):1213-1218.
[98]Sharma A, Thomas D, Konsynski B. Strategic and Institutional Perspectives inthe Evaluation, Adoption and Early Integration of Radio FrequencyIdentification(RFID): An Empirical Investigation of Current and PotentialAdopters[A]. Proceedings of the41st Hawaii International Conference onSystem Sciences(HICSS)[C]. Hawaii: IEEE,2008:407-407.
[99]Shibl R, Lawley M, Debuse J. Factors influencing decision support systemacceptance[J]. Decision Support Systems,2013,54(2):953-961.
[100]Shih D H, Chiu Y W, Chang S I, Yen D C. An empirical Study of Factorsaffecting RFID’s Adoption in Taiwan[J]. Global Information Management,2008,16(2):58-80.
[101]Shin D. Towards an understanding of the consumer acceptance of mobilewallet[J]. Computers in Human Behavior,2009,25(6):1343-1354.
[102]Song J H，Zinkhan G M. Determinants of Perceived Web Site Interactivity[J].Journal of Marketing，2008（2）：99-113.
[103]Strauss A L, Cothin J. Basics of qualitative research: grounded theoryprocedures and techniques [M].California: Sage Publications,1990
[104]Strüker J, Gille D. The SME Way of Adopting RFID-Technology–EmpiricalFindings from a German cross-sectoral Study[A].16th European Conference onInformation Systems(ECIS2008)[C], Galway: IEEE,2008:500-503.
[105]Sundmaeker H, Guillemin P, Friess P, Woelfflé S. Vision and challengesforrealising the Internet of Things[D]. Cluster of European Research Projects ontheInternet of Things—CERP IoT,2010.
[106]Tajima M. Strategic Value of RFID in Supply Chain Management[J]. Purchasingand Supply Chain Management,2007,13(4):261-273.
[107]Taylor S, Todd P. Understanding information technology usage: a test ofcompeting models[J]. Information Systems Research,1995,6(2):144-176.
[108]Thong J Y L. An integrated model of information systems adoption in smallbusiness[J]. Journal of Management Information Systems,1999,15(4):187-214.
[109]Tornatzky L G, Klein R J. Innovation characteristic and innovation adoption-implementation: Ameta-analysis of findings[J]. IEEE Transactions onEngineering Management,1982,29(1):28-45.
[110]Tornatzky L G，Fleischer M，Chakrabarti A K． The Processes of TechnologicalInnovation［M］．Lexington Books，Lexington，MA：D．C．Heath&Company，1990:152－175．
[111]Tu Q, Vonderembse M A, Ragu-Nathan T S, et al. Absorptive capacity:Enhancing the assimilation of time-based manufacturing practices [J]. Journal ofOperations Management,2006,24(5):692-710.
[112]Vednere G. Crossing the IT hurdle: a practical approach to implementing recordsmanagement technology[J]. Records Management Journal,2009,19(2):98-106.
[113]Venkatesh V, Morris M G, Davis G B, Davis F D. User acceptance ofinformation technology: toward a unified view[J].MISQuarterly,2003,27(3):425-478.
[114]Venkatesh V, Morris M G. Why don.t men ever stop to ask for direetions?Gender, social influenee, and their role in technology acceptance and usagebehavior [J]. Mis Quarterly,2000,24(1),115-139.
[115]Venkatraman N, Ramanujam V. Measurement of Business Performance inStrategy Research: A Comparison of Approaches [J]. Academy of ManagementReview,1986,11(4):801-814.
[116]Vijayaraman B S, Osyk B A. An empirical Study of RFID Implementation in theWarehousing Industry[J]. Logistics Management,2006,17(1):6-20.
[117]Welbourne E, Battle L, Cole G, Gould K, Rector K, Raymer S, et al.,Buildingthe Internet of Things using RFID The RFID ecosystemexperience[J].IEEE InternetComputing,2009(13):48–55.
[118]Whitaker J, Mithas S, Krishnan M S. A Field Study of RFID Deployment andReturn Expectations[J]. Production and Operations Management,2007,16(5):599-612.
[119]Wu G. H. The Mediating Role of Perceived Interactivity in the Effect of ActualInteractivity on Attitude Toward the Website[J].Journal of InteractiveAdvertising，2005（2）：29-39.
[120]Wu J, Wang S. What drives mobile commerce? An empirical evaluation of therevised technology acceptance model[J]. Information&Management,2005,42(5):719-729.
[121]Wu N C, Nystrom M A, Lin T R, Yu H C. Challenges to global RFIDAdoption[J]. Tec novation,2009,(26):1317-1323.
[122]Wu N C, Nystrom M A. Challenges to Global RFID Adoption[C]. Technovation,2005.
[123]Wu Y L, Tao Y H, Yang P C. The Use of Unified Theory of Acceptance and Useof Technology to Confer the Behavioral Model of3G MobileTelecommunication Users[J]. Journal of statistics&Management Systems,2008,11(5):919-949
[124]Wyld D C, Jones M A, Totten J W. Where is my Suitcase? RFID and AirlineCustomer Service[J]. Marketing Intelligence&Planning,2008,23(4),382-394.
[125]Yang G, Jarvenpaa S L. Trust and Radio Frequency Identification(RFID)Adoption within an Alliance[J]. Proceedings of the38th Hawaii InternationalConference on System Science,2005,(8):1-10.
[126]Yoo W S，Lee Y. The Role of Interactivity in e-tailing：Creating Value andIncreasing Satisfaction [J].Journal of Retailing and Consumer Services，2010（2）：89-96.
[127]Zhang J, Huang J, Chen J. Empirical Research on User Acceptance of MobileSearches[J]. Tsinghua Science&Technology,2010,15(2):235-245.
[128]Zhou T, Lu Y, Wang B. Integrating TTF and UTAUT to explain mobile bankinguser adoption [J]. Computers in Human Behavior,2010,26(4):760-767.
[129]白列湖.协同论与管理协同理论[J].甘肃社会科学,2007(5):228-230.
[130]毕新华，余翠玲，于宝君.信息技术吸纳核心能力的实证研究[J].图书情报工作，2009，53(19):100-103.
[131]毕新华，余翠玲.信息技术吸纳能力的演化机理及过程研究[J].图书情报工作，2010,54(4):34-37.
[132]毕新华.企业信息系统建设与管理变革[M].长春：吉林大学出版社，2002：76-80，191-196.
[133]曹群,姜振寰.产业链的内涵及特性分析[J].商业研究,2008(11):134-135.
[134]曹振华,褚荣伟,陆雄文.消费者在线交易信任影响因素的实证研究[J].南开管理评论，2006,9(4):91-95.
[135]陈文波,黄丽华.组织信息技术采纳的影响因素研究述评[J].软科学,2006,20(3):46-51.
[136]杜栋.协同、协同管理与协同管理系统[J].现代管理科学,2008(2):92-94.
[137]葛先雷，史明松.物联网在我国的发展及遇到的几个问题[J].信息技术，2011,(4):213-215.
[138]郭国庆，李光明.购物网站交互性对消费者体验价值和满意度的影响[J].中国流通经济,2012(2):112-118.
[139]赫希曼.经济发展战略[M].北京:经济科学出版社,2006.
[140]侯杰泰,温忠麟,成子娟.结构方程模型及其应用[M].北京:教育科学出版社,2004,(7).
[141]胡永利，孙艳丰，尹宝才.物联网信息感知与交互技术[J].计算机学报,2012,35(6):1147-1163.
[142]黄效平.公共图书馆网站的交互性探讨[J].现代情报,2004(8):109-110.
[143]黄轶文.应用物联网技术促进房地产业健康发展[J].科技信息2012.
[144]井淼,周颖,王方华.网上购物感知风险的实证研究[J].系统管理学报,2007,16(2):164-169.
[145]赖有水,林桂珠,范鹏飞.我国物联网有效商业模式的构建[J].电子世.2012（11
[146]李奔波，陈升，强海涛.中国企业ERP实施绩效影响因素实证研究[J].现代财经，2005，25（6）：185-189.
[147]李殿伟.基于价值网理论的电信企业商业模式研究[D].天津:天津大学，经济管理学院,2007.
[148]李怀祖.管理研究方法[M].西安：西安交通大学出版社,2004.
[149]李菁菁，邵培基，赵玉华.国家投资项目网上招投标系统采纳影响因素研究[J].信息系统学报，2008，2（2）：59-67.
[150]李如年.基于RFID技术的物联网研究[J].中国电子科学研究院学报,2009(6):194-195.
[151]李文.物联网技术及其应用[J].福建电脑,2010
[152]李文川.汽车制造企业RFID采纳过程模型及应用问题研究[D].重庆大学,2011.
[153]刘力然.电信运营商物联网商业模式研究[D].北京：北京邮电大学,经济管理学院,2011.
[154]刘璐，杨蕙馨.中国企业吸收能力影响因素与作用的探索性研究[J].产业经济评论，2008，7（2）：68-91.
[155]刘茂长，鞠晓峰.基于TOE模型的电子商务技术扩散影响因素研究[J].信息系统学报，2013，（11）：13-30.
[156]刘云浩物联网导论[M]北京：科学出艇社，2011.
[157]刘子龙.第三代移动服务用户采纳行为研究[D].东北财经大学，2011
[158]鲁耀斌,徐红梅.即时通讯服务使用行为的影响因素实证研究[J].管理学报,2006,3(5):614-621.
[159]马庆国.管理统计[M].北京：科学出版社,2002.
[160]马庆国.管理统计——数据获取、统计原理、SPSS工具与应用研究[M].北京:科学出版社,2007.
[161]迈克尔.波特.竞争优势[M]..北京：华夏出版社,2005.
[162]毛敬雅.“物联网”将开始影响中国人生活[J].记者观察.2009（20），15-17.
[163]齐晓云.信息技术融合及其对组织绩效影响的实证研究[D].吉林大学,2011.
[164]芮明杰,屈路,胡金星.企业追求内部协同向外部协同转变的动因分析[J].上海管理科学,2005(3):5-7.
[165]苏婉，毕新华，王磊.基于UTAUT理论的物联网用户接受模型研究[J].情报科学，2013，31(5):128-132.
[166]孙连荣.结构方程模型(SEM)的原理及操作[J].宁波大学学报(教育科学版),2005,27(02),31-34.
[167]唐亮.我国物联网产业发展现状与产业链分析[D].北京：北京邮电大学，经济管理学院,2010.
[168]王卫宏.物联网的发展与相关产业价值链[J].电信工程技术与标准化,2009(12):10-11.
[169]王亚唯.物联网发展综述[J].科技信息,2010(3):42-44.
[170]魏明侠.感知隐私和感知安全对电子商务信用的影响研究[J].管理学报,2005,2(1):61-65.
[171]吴亮,邵培基,李良强.物联网背景下隐私信息保护策略影响企业决策行为[J].系统工程,2010,28(6):82-87.
[172]吴亮，邵培基，盛旭东，叶全福.基于改进型技术接受模型的物联网服务采纳实证研究[J].管理评论,2012.
[173]吴亮.物联网技术服务采纳与个人隐私信息影响研究[D].电子科技大学,2011.
[174]吴明隆. SPSS统计应用实务：问卷分析与应用统计[M].北京：科学出版社,2003.
[175]吴明隆.结构方程模型——AMOS的操作与应用[M].重庆：重庆大学出版社，2009.
[176]向伟.农产品供应链中物联网应用及采纳影响因素研究[D].华南理工大学,2012.
[177]谢滨,林轶君,郭迅华.手机银行用户采纳的影响因素研究[J].南开管理评论,2009,12(03):12-19.
[178]许正良.管理研究方法[M].长春：吉林大学出版社,2004
[179]杨姝,王刊良,王渊,李蒙翔.声誉、隐私协议及信用图章对隐私信任和行为意图的影响研究[J],管理评论,2009,21(3):48-57.
[180]杨姝，王刊良，王渊.网络创新背景下隐私关注与保护意图跨情境研究[J].管理学报，2009,6(9):1176-1181.
[181]杨永清等.移动互联网用户采纳研究——基于感知利益、成本和风险视角[J].情报杂志.2012，31(01):200-207.
[182]余翠玲.信息技术吸纳能力理论模型与实证研究[D].吉林大学,2010.
[183]张飞舟.物联网技术导论[M].电子工业出版社,2010:106-109.
[184]张鹤达.基于资源观的IT能力对企业绩效影响机制研究[D].吉林大学，2008.
[185]张楠,郭迅华,陈国青.行为建模角度信息技术采纳研究综述[J].科学管理研究,2009,27(04):13-19.
[186]郑欣.电信运营商主体的物联网商业模式研究[J].移动通信，2011，(4):65-70
[187]郑欣.物联网未来商业模式分析[J].移动通信，2011，(21):82-85.
[188]周涛,鲁耀斌.隐私关注对移动商务用户采纳行为影响的实证分析[J].管理学报，2010,7(7):46-51.
[2] AI-Gahtani S, Hubona G S, Wang J J. Information technology(IT) in SaudiArabia: Culture and the acceptance and use of IT [J]. Information andManagement,2007,44,681-691.
[3] Ajzen I．From Intention to Actions: A Theory of Planned Behavior［M］．Berlin:Springer，1985.
[4] Alavi M, Carlson P, A Review of MIS Research and Disciplinary Development[J]. Journal of Management Information Systems,1992,8(4):45-62.
[5] Ansoff H. Igor, Corporate Strategy [M]. New York: McGraw-Hill,1965.
[6] Asif Z, Mandviwalla M. Integrating the Supply Chain with RFID: A Technicaland Business Analysis[J]. Communications of the AIS,2006,(15):393-427.
[7] Atzori L, Iera A, Morabito G. The Internet of Things: a survey, ComputerNetworks,2010(54):2787–2805.
[8] Bauer R A. Consumer behavior as risk raking[A]. Hancock R S. DynamicMarketing for a Changing World[C]. Proceedings of the43rd Conference of theAmerican Marketing Association,1960.389-398.
[9] Bhattacharya M, Chu C H, Mullen T. RFID Implementation in Retail Industry:Current Status, Issues, and Challenges[A]. Decision Science Institute(DSI)Conference2007[C].Phoenix: AZ,2009:201-203.
[10]Broll.G, Rukzio.E, Paolueei.M, Wdgner.M, Sehmidt.A., Hussmann.H.Perci:Pervasive Service Interaction with the internet of Things[C].IntemetComPuting, IEEE,2009,13(6):74一8
[11]Brown A, Bakhru A. Information Systems Innovation Research and the Case ofRFID[J]. International Federation for Information Processing,2007,(235):363-376.
[12]Brown I, Russe J. Radio Frequency Identification Technology: An exploratoryStudy on Adoption in the South African Retail Sector[J]. InformationManagement,2007,27(4):250-265.
[13]Bryman A, Cramer D. Quantitative Data Analysis With SPSS12and13: A GuideFor Soeial Seientists[M], Routledge, London,1997.
[14] Chan E, Mills A. Implementation of enterprise resource planning (ERP) softwarein a major construction contracting organization in Hong Kong[J]. InternationalJournal of Managing Projects in Business,2011,4(1):168-178.
[15]Chao C C, Yang J M, Jen W Y. Determining Technology Trends and Forecasts ofRFID by a historical Review and bibliometric Analysis from1991to2005[J].Technovation,2007,27(5):268-279.
[16]Chen J, Ching R. An empirical study of the relationship of IT intensity andorganizational absorptive capacity on CRM performance [J]. Journal of GlobalInformation Management [J].2004,12(1):1-17.
[17]Chiu C, Wang E T. Understanding Web-based learning continuance intention: Therole of subjective task value[J]. Information&Management,2008,45(3):194-201.
[18]Chong A Y. Predicting m-commerce adoption determinants: A neural networkapproach[J]. Expert Systems with Applications,2013,40(2):523-530.
[19]Chong S, Pervan G. Factors influence the extent of deployment, Of electroniccommerce for small and medium sized enterprise[J], Journal of ElectronicCommerce in Organization,2007,5(1):1-29.
[20]Churchill G A. A paradigm for developing better measures of marketingconstructs [J]. Journal of Marketing Research,1979,16(3):64-73.
[21]Cohen W M, Levinthal D A. Absorptive capacity: A new perspective on learningand innovation [J]. Administrative Science Quarterly,1990,35(1):128-152.
[22]Cooper R B, Zumd R W. Information technology implementation research: atechnological diffusion approach [J]. Management Science,1990,36(2):123-139.
[23]David B. The transparent society: Will technology force us to choose betweenprivacy and freedom[J]? Harvard Journal of Law&Technology,1999,12(2):202-222.
[24]Davis F D. Perceived usefulness, perceived ease of use, and user acceptance ofinformation technology[J].MIS Quarterly,1989,(13):319-340.
[25]Dholakia R R, Zhao M. Retail web site interactivity: How does it influencecustomer satisfaction and behavioral intentions?[J]. International Journal ofRetail&Distribution Management,2009,37(10):821-838
[26]Dinev T, Hart P. Internet privacy concerns and social awareness as determinantsof intention to transact[J].International Journal of Electronic Commerce,2005,10(2):7-29.
[27]Duquennoy S, Grimaud G, and Vandewalle J.The web of things: interconnectingdevices with high usability and performance[C]. The6th IEEEInternational Conference on Embedded Software and Systems, HangZhou,Zhejiang, China,2009.
[28]Dyck J L, Smither J A. Age differences in computer anxiety: The role ofcomputer experience, gender and education [J]. Journal of EducationalComputing Research,1994,10(3),239-245.
[29]Fang J M, Shao P J, Lan G. Effects of Innovativeness and Trust on Web SurveyParticipation[J]. Computers in Human Behavior,2009,25(1):144-152
[30]Fiore A.M，Kim J，Lee H. Effect of Image Interactivity Technology on ConsumerResponses toward the Online Retailer[J].Journal of Interactive Marketing，2005（3）：38-53.
[31]Fishbein M，Ajzen I．Belief，Attitude，Intention and Behavior: An Introductionto Theory and Research［M］．Mass: Addison－Wesley Publishing Company，1975.
[32]Fornell C, Lareker D, Evaluating Struetural Equation Models with UnobservableVariables and Measurement Error[J]. Journal of Marketing Researh,1981,(18):39-50.
[33]Gefen D,Straub D. Gender differences in the perception and use of e-mail: anextension of technology acceptance model [J]. MIS Quarterly,1997,21(4),389-400.
[34]Goodhue D L, Thompson R L. Task-technology Fit and Individual Performance[J]. MIS Quarterly,1995,19(2):213-236.
[35]Goodhue D, Thompson R. Task-technology fit and individual performance [J].MIS Quarterly,1995,19(2):213-236.
[36]Gorsueh R L. FaetorAnalysis[M], LawreneeErlbaum, NJ,1983
[37]Guinard D, Trlfa V, Pham T, and Liechti O. Towards Physical Mashups in theWeb of Things[C].The6th International Conference on Networked SensingSystems,2009.
[38]Hair J, Anderson R E, Tatham R L, et al. Multivariate Data Analysis[M],Prentice-Hall, Upper Saddle Rive,1998.
[39]Héctor San Martín, ángel Herrero. Influence of the user’s psychological factorson the online purchase intention in rural tourism: Integrating innovativeness tothe UTAUT framework[J]. Tourism Management,2012,33(2):341-350.
[40]Ho L, Hung C, Chen H. Using theoretical models to examine the acceptancebehavior of mobile phone messaging to enhance parent–teacher interactions [J].Computers&Education,2013,61(2):105-114.
[41]Hong S J, Thong J Y L, Tam K Y, Understanding Continued InformationTechnology Usage Behavior: A Comparison of Three Models in the Context ofMobile Internet[J]. Decision Support Systems,2006,42(3):1819-1834
[42]Hossain M M, Prybutok V R. Consumer Acceptance of RFID Technology: AnExploratory Study[J]. IEEE Transactions On Engineering Management,2008,55(2):316-326.
[43]Huber N, Michael K, McCathie L. Barriers to RFID Adoption in the SupplyChain[A].IEEE RFID Eurasia[C]. Istanbul: Turkey,2007:1-6.
[44]Hui J and Culler D. Extending IP to Low-Power, wireless personal areanetworks[J]. Internet Computing,2008,12(4):37-45.
[45]Hung S, Chang C, Yu T. Determinants of user acceptance of the e-Governmentservices: The case of online tax filing and payment system[J]. GovernmentInformation Quarterly,2006,23(1):97-122.
[46]Hung S. et al. Critical Factors of WAP Services Adoption: An Empirical Study,Electronic Commerce Research and Applications,2003,2(1):42-60.
[47]Huyskens C, Loebbecke C. RFID Adoption: Theoretical Concepts and theirpractical Application in ashion[J]. International Federation for InformationProcessing,2007,(235):345-361.
[48]Igbaria M, Parasuraman S. A Path Analytic Study of Individual Characteristics,Computer Anxiety and Attitudes toward Microcomputers [J]. Journal ofManagement,1989,15(3),373-388.
[49]Im I, Kim Y, Han H. The effects of perceived risk and technology type on users’acceptance of technologies[J]. Information&Management,2008,45(1):1-9.
[50]Ima I, Hongb S, Kangc M S. An international comparison of technology adoption:Testing the UTAUT model[J]. Information&Management,2011,48(1):1-8.
[51]Itami Hiroyuki. Mobilizing Invisible Assets [M].Cambridge:Harvard UniversityPress,1987.
[52]Janos S, John A. S, David E. Corman, Industry–Academy Collaboration inCyber Physical Systems (CPS) Research [C], the CCC Workshop on New Formsof Industry–Academy Partnership in CPS Research, August31,2009.
[53]Jones P, Clarke-Hill C, Hillier D, Comfort D. The Benefits, Challenges andImpacts of Radio Frequency Identification Technology(RFID)for Retailers in theUK[J]. Marketing Intelligence&Planning,2010,23(4):395-402.
[54]Jones P, Clarke-Hill C, Shears P, Comfort D, Hillier D. Radio FrequencyIdentification in the UK: Opportunities and Challenges[J]. Retail&DistributionManagement,2004,32(3):164-171.
[55]Juels A. RFID security and privacy: a research survey[J]. IEEE Journal onSelectedAreas in Communications24(2006)381–394.
[56]Kim H， et al. Value-based Adoption of Mobile Internet: An EmpiricalInvestigation, Decision Support System,2007,43(1):111-126.
[57]Koh C E, Kim H J, Kim E Y. The Impact of RFID in Retail Industry: Issues andcritical Success Factors[J].Journal of Shopping Center Research,2011,13(1):101-118.
[58]KortUem.G, kawsar. F, Fitton.D, Sundramoorthy.V. smart objeets as buildingblocks for the Internet of things[J].Intemet ComPuting,IEEE,2010,14(1):44-51.
[59]Kraemer K L, Dutton W H. Survey Research in the Study of ManagementInformation Systems[J]. Harvard Business School Research Colloquium,1991,(4):21-35.
[60]Kranz.M, Holleis.P, Sehmidt.A. Embedded Interaetion:Interaeting with theInternet of Things[C]. Intemet Computing,IEEE,2010,14(2):46一53.
[61]Laguna K, Babcoek R. Computer Anxiety in Young and Older Adults [J].Computers in Human Behavior,1997,13(3),317-326.
[62]Lai F, Hutchinson J, Zhang G. Radio Frequency Identification(RFID) in China:Opportunities and Challenges[J]. International Journal of Retail&DistributionManagement,2005,33(12):905-916.
[63]Lai K H, Ngai E W T, Cheng T C E. Information Technology Adoption in HongKong's Logistics Industry[J]. Transportation,2009,44(4):1-9.
[64]Lai K H, Wong C W Y, Cheng T C E. Institutional Isomorphism and the Adoptionof Information Technology for Supply Chain Management[J]. Computers inIndustry,2010:57(1):93-98.
[65]Lee I, Chung H. What should we watch over to adopt RFID for pharmaceuticalSupply Chain in Korea? Advanced Communication Technology(ICACT2006)[A]. The8th International Conference[C]. Phoenix Park&Korea,2006:981-985.
[66]Leimeister J M, Knebel U, Krcmar H. RFID as Enabler for the boundlessreal-timeOrganization: Empirical Insights from Germany[J]. Networking andVirtual Organizations,2007,4(1):45-64.
[67]Leimeister J M, Knebel U, Krcmar H. RFID as Enabler for the boundlessreal-time Organization: Empirical Insights from Germany[J]. Networking andVirtual Organizations.2009,4(1):45-64.
[68]Lichtenstein S, Williamson K. Understanding Consumer Adoption of InternetBanking: An Interpretive Study in the Australian Banking Context [J]. Journal ofElectronic Commerce Research,2006,7(2),50-66.
[69]Liu Y P，Shrum L J. What Is Interactivity and Is It Always Such a Good Thing?Implications of Definition， Person， and Situation for the Influence ofInteractivity on Advertising Effectiveness [J]. Journal of Advertising，2002（Winter）：53-64.
[70]Liu Y P. Developing a Scale to Measure the Interactivity of Websites [J].Journalof Advertising Research，2003（2）：207-216.
[71]Luo Z, Tan Z, Ni Z, Yen B. Analysis of RFID Adoption in China[A]. IEEEInternational Conference on e-Business Engineering[C].2007:315-318.
[72]Madlberger M. A Model of Antecedents of RFID Adoption Intention in theSupply Chain[C]. Proceedings of the42nd Hawaii International Conference onSystem Sciences,2009.
[73]Marshall A, Principle of Economics [M].London:Macmillan,1920.
[74]Mawhinney C H, Lederer A L. A study of personal computer utilization bymanagers[J]. Information&Management,1990,18(5):243-253.
[75]Min Q, Ji S, Qu G. Mobile Commerce User Acceptance Study in China: ARevised UTAUT Model[J]. Tsinghua Science&Technology,2008,13(3):257-264.
[76]Mohamed M A Y. Interactive E-shopping Experience：an Empirical Investigation[D].Texas A&M University，2004.
[77]Moore G C, Benbasat I. Development of an instrument to measure theperceptions of adopting an information technology innovation [J]. InformationSystem Research,1991(3):192-223.
[78]Mueller R. Structural Equation Modeling: Back to Basics[J]. Structural EquationModeling,1997,(4):353-369.
[79]Nilakanta S, Scamell R. The effect of information sources and communicationchannels on the diffusion of innovation in a data base developmentenvironment[J]. Management Science,1990,36(l):24-40.
[80]Nowak G J, Phelps J. Understanding privacy concerns: An assessment ofconsumers’ information related knowledge and beliefs[J]. Journal of DirectMarketing,1992(6):28-39.
[81]Nunnally J. Psychometric theory [M]. New York: McGraw-Hill.1978.
[82]Ohkubo M， Suzuki K， Kinoshita S. RFID privacy issues and technicalchallenges[J].Communications of the ACM.2005,48(9):66–71.
[83]Peason J M, Crosby L, Bahmanziari T, Conrad E. An empirical investigation intothe relationship between organizational culture and computer efficacy asmoderated by age and gender [J]. Journal of Computer Information Systems,2003,43(2),58-70.
[84]Porter, M.E. The Competitive Advantage of Nations[M].London andBasingstoke: The Macmillan Press Ltd,1990.
[85]Powell A, Williams C K, Bock D B, et al. e-Voting intent: A comparison of youngand elderly voters[J]. Government Information Quarterly,2012,29(3):361-372.
[86]Premkumar G&Robert M. Adoption of new information technologies in ruralsmall business [J]. OMEGA-International Journal of Management Science,1999,27(4):467-484.
[87]Premkumar G, Ramamurthy K, Nilakanta S. Implementation of electronic datainterehange: An innovation diffusion perspeetive1J]. Journal of ManagementInformation Systems,1994,11(z):57-165.
[88]Quaadgras A.Who joins the Platform? The Case of the RFID BusinessEcosystem[J]. Proceedings of the38th Hawaii International Conference onSystem Sciences,2005:269.
[89]Ranganathan C, Jha S. Adoption of RFID Technology:An exploratoryExamination from Supplier’s Perspective[C]. Proceedings of the11th AmericasConference on Information Systems(AmCIS),2007:2195-2199.
[90]Riggins F J, Slaughter K T. The Role of Collective Mental Models in IOSAdoption: Opening the Black Box of Rationality in RFID Deployment[A].Proceedings of the39th Hawaii International Conference on SystemSciences(HICSS)[C]. Hawaii: HI.2006:183-184.
[91]Robey D. User Attitudes and Management Information System use[J]. Academyof Management Journal,1979,22(3):527-538.
[92]Rogers E M. Diffusion of Innovations [M]. New York: The Free Press,1983
[93]Rogers E M. Diffusion of Innovations, Fourth Ed[M]. The Free Press, New York,1995.
[94]Scupola, A. Adoption of E-commerce in Small and Medium Size Enterprises inAustralia [A]. The Tenth Americas Conference on Information Systems [C].New York: Proceedings of the10th Americas Conference on InformationSystems,2004.
[95]Seymour L, Lambert Porter E, Willuweit L. RFID Adoption into the ContainerSupply Chain: Proposing a Framework[A]. Proceedings of the6th AnnualISOnEworld Conference[J]. Las Vegas: IEEE,2010:431-435.
[96]Sharma A, Citurs A, Konsynski B. Strategic and Institutional Perspectives in theAdoption and Early Integration of Radio Frequency Identification(RFID)[A].Proceedings of the40th Hawaii International Conference on System Sciences(HICSS)[C]. Hawaii: HI,2007:223-230.
[97]Sharma A, Citurs A. Radio Frequency Identification(RFID)Adoption Drivers: ARadical Innovation Adoption Perspective[J]. Proceedings of the11th AmericasConference on Information Systems(Am CIS),2007,(3):1213-1218.
[98]Sharma A, Thomas D, Konsynski B. Strategic and Institutional Perspectives inthe Evaluation, Adoption and Early Integration of Radio FrequencyIdentification(RFID): An Empirical Investigation of Current and PotentialAdopters[A]. Proceedings of the41st Hawaii International Conference onSystem Sciences(HICSS)[C]. Hawaii: IEEE,2008:407-407.
[99]Shibl R, Lawley M, Debuse J. Factors influencing decision support systemacceptance[J]. Decision Support Systems,2013,54(2):953-961.
[100]Shih D H, Chiu Y W, Chang S I, Yen D C. An empirical Study of Factorsaffecting RFID’s Adoption in Taiwan[J]. Global Information Management,2008,16(2):58-80.
[101]Shin D. Towards an understanding of the consumer acceptance of mobilewallet[J]. Computers in Human Behavior,2009,25(6):1343-1354.
[102]Song J H，Zinkhan G M. Determinants of Perceived Web Site Interactivity[J].Journal of Marketing，2008（2）：99-113.
[103]Strauss A L, Cothin J. Basics of qualitative research: grounded theoryprocedures and techniques [M].California: Sage Publications,1990
[104]Strüker J, Gille D. The SME Way of Adopting RFID-Technology–EmpiricalFindings from a German cross-sectoral Study[A].16th European Conference onInformation Systems(ECIS2008)[C], Galway: IEEE,2008:500-503.
[105]Sundmaeker H, Guillemin P, Friess P, Woelfflé S. Vision and challengesforrealising the Internet of Things[D]. Cluster of European Research Projects ontheInternet of Things—CERP IoT,2010.
[106]Tajima M. Strategic Value of RFID in Supply Chain Management[J]. Purchasingand Supply Chain Management,2007,13(4):261-273.
[107]Taylor S, Todd P. Understanding information technology usage: a test ofcompeting models[J]. Information Systems Research,1995,6(2):144-176.
[108]Thong J Y L. An integrated model of information systems adoption in smallbusiness[J]. Journal of Management Information Systems,1999,15(4):187-214.
[109]Tornatzky L G, Klein R J. Innovation characteristic and innovation adoption-implementation: Ameta-analysis of findings[J]. IEEE Transactions onEngineering Management,1982,29(1):28-45.
[110]Tornatzky L G，Fleischer M，Chakrabarti A K． The Processes of TechnologicalInnovation［M］．Lexington Books，Lexington，MA：D．C．Heath&Company，1990:152－175．
[111]Tu Q, Vonderembse M A, Ragu-Nathan T S, et al. Absorptive capacity:Enhancing the assimilation of time-based manufacturing practices [J]. Journal ofOperations Management,2006,24(5):692-710.
[112]Vednere G. Crossing the IT hurdle: a practical approach to implementing recordsmanagement technology[J]. Records Management Journal,2009,19(2):98-106.
[113]Venkatesh V, Morris M G, Davis G B, Davis F D. User acceptance ofinformation technology: toward a unified view[J].MISQuarterly,2003,27(3):425-478.
[114]Venkatesh V, Morris M G. Why don.t men ever stop to ask for direetions?Gender, social influenee, and their role in technology acceptance and usagebehavior [J]. Mis Quarterly,2000,24(1),115-139.
[115]Venkatraman N, Ramanujam V. Measurement of Business Performance inStrategy Research: A Comparison of Approaches [J]. Academy of ManagementReview,1986,11(4):801-814.
[116]Vijayaraman B S, Osyk B A. An empirical Study of RFID Implementation in theWarehousing Industry[J]. Logistics Management,2006,17(1):6-20.
[117]Welbourne E, Battle L, Cole G, Gould K, Rector K, Raymer S, et al.,Buildingthe Internet of Things using RFID The RFID ecosystemexperience[J].IEEE InternetComputing,2009(13):48–55.
[118]Whitaker J, Mithas S, Krishnan M S. A Field Study of RFID Deployment andReturn Expectations[J]. Production and Operations Management,2007,16(5):599-612.
[119]Wu G. H. The Mediating Role of Perceived Interactivity in the Effect of ActualInteractivity on Attitude Toward the Website[J].Journal of InteractiveAdvertising，2005（2）：29-39.
[120]Wu J, Wang S. What drives mobile commerce? An empirical evaluation of therevised technology acceptance model[J]. Information&Management,2005,42(5):719-729.
[121]Wu N C, Nystrom M A, Lin T R, Yu H C. Challenges to global RFIDAdoption[J]. Tec novation,2009,(26):1317-1323.
[122]Wu N C, Nystrom M A. Challenges to Global RFID Adoption[C]. Technovation,2005.
[123]Wu Y L, Tao Y H, Yang P C. The Use of Unified Theory of Acceptance and Useof Technology to Confer the Behavioral Model of3G MobileTelecommunication Users[J]. Journal of statistics&Management Systems,2008,11(5):919-949
[124]Wyld D C, Jones M A, Totten J W. Where is my Suitcase? RFID and AirlineCustomer Service[J]. Marketing Intelligence&Planning,2008,23(4),382-394.
[125]Yang G, Jarvenpaa S L. Trust and Radio Frequency Identification(RFID)Adoption within an Alliance[J]. Proceedings of the38th Hawaii InternationalConference on System Science,2005,(8):1-10.
[126]Yoo W S，Lee Y. The Role of Interactivity in e-tailing：Creating Value andIncreasing Satisfaction [J].Journal of Retailing and Consumer Services，2010（2）：89-96.
[127]Zhang J, Huang J, Chen J. Empirical Research on User Acceptance of MobileSearches[J]. Tsinghua Science&Technology,2010,15(2):235-245.
[128]Zhou T, Lu Y, Wang B. Integrating TTF and UTAUT to explain mobile bankinguser adoption [J]. Computers in Human Behavior,2010,26(4):760-767.
[129]白列湖.协同论与管理协同理论[J].甘肃社会科学,2007(5):228-230.
[130]毕新华，余翠玲，于宝君.信息技术吸纳核心能力的实证研究[J].图书情报工作，2009，53(19):100-103.
[131]毕新华，余翠玲.信息技术吸纳能力的演化机理及过程研究[J].图书情报工作，2010,54(4):34-37.
[132]毕新华.企业信息系统建设与管理变革[M].长春：吉林大学出版社，2002：76-80，191-196.
[133]曹群,姜振寰.产业链的内涵及特性分析[J].商业研究,2008(11):134-135.
[134]曹振华,褚荣伟,陆雄文.消费者在线交易信任影响因素的实证研究[J].南开管理评论，2006,9(4):91-95.
[135]陈文波,黄丽华.组织信息技术采纳的影响因素研究述评[J].软科学,2006,20(3):46-51.
[136]杜栋.协同、协同管理与协同管理系统[J].现代管理科学,2008(2):92-94.
[137]葛先雷，史明松.物联网在我国的发展及遇到的几个问题[J].信息技术，2011,(4):213-215.
[138]郭国庆，李光明.购物网站交互性对消费者体验价值和满意度的影响[J].中国流通经济,2012(2):112-118.
[139]赫希曼.经济发展战略[M].北京:经济科学出版社,2006.
[140]侯杰泰,温忠麟,成子娟.结构方程模型及其应用[M].北京:教育科学出版社,2004,(7).
[141]胡永利，孙艳丰，尹宝才.物联网信息感知与交互技术[J].计算机学报,2012,35(6):1147-1163.
[142]黄效平.公共图书馆网站的交互性探讨[J].现代情报,2004(8):109-110.
[143]黄轶文.应用物联网技术促进房地产业健康发展[J].科技信息2012.
[144]井淼,周颖,王方华.网上购物感知风险的实证研究[J].系统管理学报,2007,16(2):164-169.
[145]赖有水,林桂珠,范鹏飞.我国物联网有效商业模式的构建[J].电子世.2012（11
[146]李奔波，陈升，强海涛.中国企业ERP实施绩效影响因素实证研究[J].现代财经，2005，25（6）：185-189.
[147]李殿伟.基于价值网理论的电信企业商业模式研究[D].天津:天津大学，经济管理学院,2007.
[148]李怀祖.管理研究方法[M].西安：西安交通大学出版社,2004.
[149]李菁菁，邵培基，赵玉华.国家投资项目网上招投标系统采纳影响因素研究[J].信息系统学报，2008，2（2）：59-67.
[150]李如年.基于RFID技术的物联网研究[J].中国电子科学研究院学报,2009(6):194-195.
[151]李文.物联网技术及其应用[J].福建电脑,2010
[152]李文川.汽车制造企业RFID采纳过程模型及应用问题研究[D].重庆大学,2011.
[153]刘力然.电信运营商物联网商业模式研究[D].北京：北京邮电大学,经济管理学院,2011.
[154]刘璐，杨蕙馨.中国企业吸收能力影响因素与作用的探索性研究[J].产业经济评论，2008，7（2）：68-91.
[155]刘茂长，鞠晓峰.基于TOE模型的电子商务技术扩散影响因素研究[J].信息系统学报，2013，（11）：13-30.
[156]刘云浩物联网导论[M]北京：科学出艇社，2011.
[157]刘子龙.第三代移动服务用户采纳行为研究[D].东北财经大学，2011
[158]鲁耀斌,徐红梅.即时通讯服务使用行为的影响因素实证研究[J].管理学报,2006,3(5):614-621.
[159]马庆国.管理统计[M].北京：科学出版社,2002.
[160]马庆国.管理统计——数据获取、统计原理、SPSS工具与应用研究[M].北京:科学出版社,2007.
[161]迈克尔.波特.竞争优势[M]..北京：华夏出版社,2005.
[162]毛敬雅.“物联网”将开始影响中国人生活[J].记者观察.2009（20），15-17.
[163]齐晓云.信息技术融合及其对组织绩效影响的实证研究[D].吉林大学,2011.
[164]芮明杰,屈路,胡金星.企业追求内部协同向外部协同转变的动因分析[J].上海管理科学,2005(3):5-7.
[165]苏婉，毕新华，王磊.基于UTAUT理论的物联网用户接受模型研究[J].情报科学，2013，31(5):128-132.
[166]孙连荣.结构方程模型(SEM)的原理及操作[J].宁波大学学报(教育科学版),2005,27(02),31-34.
[167]唐亮.我国物联网产业发展现状与产业链分析[D].北京：北京邮电大学，经济管理学院,2010.
[168]王卫宏.物联网的发展与相关产业价值链[J].电信工程技术与标准化,2009(12):10-11.
[169]王亚唯.物联网发展综述[J].科技信息,2010(3):42-44.
[170]魏明侠.感知隐私和感知安全对电子商务信用的影响研究[J].管理学报,2005,2(1):61-65.
[171]吴亮,邵培基,李良强.物联网背景下隐私信息保护策略影响企业决策行为[J].系统工程,2010,28(6):82-87.
[172]吴亮，邵培基，盛旭东，叶全福.基于改进型技术接受模型的物联网服务采纳实证研究[J].管理评论,2012.
[173]吴亮.物联网技术服务采纳与个人隐私信息影响研究[D].电子科技大学,2011.
[174]吴明隆. SPSS统计应用实务：问卷分析与应用统计[M].北京：科学出版社,2003.
[175]吴明隆.结构方程模型——AMOS的操作与应用[M].重庆：重庆大学出版社，2009.
[176]向伟.农产品供应链中物联网应用及采纳影响因素研究[D].华南理工大学,2012.
[177]谢滨,林轶君,郭迅华.手机银行用户采纳的影响因素研究[J].南开管理评论,2009,12(03):12-19.
[178]许正良.管理研究方法[M].长春：吉林大学出版社,2004
[179]杨姝,王刊良,王渊,李蒙翔.声誉、隐私协议及信用图章对隐私信任和行为意图的影响研究[J],管理评论,2009,21(3):48-57.
[180]杨姝，王刊良，王渊.网络创新背景下隐私关注与保护意图跨情境研究[J].管理学报，2009,6(9):1176-1181.
[181]杨永清等.移动互联网用户采纳研究——基于感知利益、成本和风险视角[J].情报杂志.2012，31(01):200-207.
[182]余翠玲.信息技术吸纳能力理论模型与实证研究[D].吉林大学,2010.
[183]张飞舟.物联网技术导论[M].电子工业出版社,2010:106-109.
[184]张鹤达.基于资源观的IT能力对企业绩效影响机制研究[D].吉林大学，2008.
[185]张楠,郭迅华,陈国青.行为建模角度信息技术采纳研究综述[J].科学管理研究,2009,27(04):13-19.
[186]郑欣.电信运营商主体的物联网商业模式研究[J].移动通信，2011，(4):65-70
[187]郑欣.物联网未来商业模式分析[J].移动通信，2011，(21):82-85.
[188]周涛,鲁耀斌.隐私关注对移动商务用户采纳行为影响的实证分析[J].管理学报，2010,7(7):46-51.