用户接受和使用信息技术：技术特征的视角

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科研管理 ›› 2014, Vol. 35 ›› Issue (9) : 1-8.

论文

用户接受和使用信息技术：技术特征的视角

孙元¹, 朱亚丽²

作者信息 +

User acceptance and use of information technology：From the perspective of technological characteristics

Sun Yuan¹, Zhu Yali²

Author information +

文章历史 +

摘要

本研究从技术特征的角度来解析信息技术制具，构建了技术特征影响用户接受和使用信息技术的机理模型。对问卷调查收集的367份有效样本通过PLS结构方程方法进行模型检验，结果表明用户的感知有用性受到技术特征中的灵活性、可靠性、准确性和完整性的显著影响，用户的感知易用性受到技术特征中的可及性和呈现性的显著影响。此外，随着用户使用经验的增加，灵活性和完整性对用户感知有用性的影响将增加。本研究能够促进对用户接受和使用信息技术制具的理解以及为信息技术设计者、实施者和管理者驾驭信息技术提供参考和建议。

Abstract

This study explores the information technology artifact from technological characteristics perspective, and develops a mechanism model regarding the impact of influential technological characteristics on user acceptance and use of information technology. The model is examined by PLS structural equation modeling method, using a database comprised of 367 users collected from a questionnaire survey. The results indicate that perceived usefulness is significantly influenced by flexibility, reliability, accuracy and completeness, and perceived ease of use is significantly influenced by accessibility and format. Besides, the impact of flexibility and completeness on perceived usefulness is stronger as user's experience increases. This study contributes to the understanding of the user acceptance and use of information technology artifact and provides references and suggestions for information technology designers, implementers and managers in their grasp of the information technology.

导出引用

孙元, 朱亚丽. 用户接受和使用信息技术：技术特征的视角[J]. 科研管理. 2014, 35(9): 1-8

Sun Yuan, Zhu Yali. User acceptance and use of information technology：From the perspective of technological characteristics[J]. Science Research Management. 2014, 35(9): 1-8

中图分类号： C931.6

参考文献

[1] Orlikowski W. J., Iacono C. S. Research commentary: Desperately seeking the "IT" in IT research-A call to theorizing the IT artifact[J]. Information Systems Research, 2001, 12(2): 121-134. [2] Benbasat I., Zmud R. The identity crisis within the IS discipline: Defining and communicating the discipline's core properties[J]. MIS Quarterly, 2003, 27(2): 183-194. [3] Davis F. D., Bagozzi R. P., Warshaw P. R. User acceptance of computer technology: A comparison of two theoretical models[J]. Management Science, 1989, 35(8): 982-1003. [4] Venkatesh V., Davis F. D. A theoretical extension of the technology acceptance model: Four longitudinal field studies[J]. Management Science, 2000, 46(2): 186-204. [5] Venkatesh V., Morris M. G., Gordon B. D., Davis F. D. User acceptance of information technology: Toward a unified view[J]. MIS Quarterly, 2003, 27(3): 425-478. [6] Venkatesh V., Bala H. Technology acceptance model 3 and a research agenda on interventions[J]. Decision Sciences, 2008, 39(2): 273-315. [7] Goodhue D. L., Thompson R. L. Task-technology fit and individual performance[J]. MIS Quarterly, 1995, 19(2): 213-236. [8] Shirani A., Tafti M., Affisco J. Task and technology fit: A comparison of two technologies for synchronous and asynchronous group communication[J]. Information & Management, 1999, 36(3): 139-150. [9] Goodhue D., Littlefield R., Straub D. W. The measurement of the impacts of the ⅡC on the end-users: The survey[J]. Journal of the American Society for Information Science, 1997, 48(5): 454-465. [10] Strong D., M., Dishaw M., T., Bandy D. B. Extending task technology fit with computer self-efficacy[J]. Database for Advances in Information Systems, 2006, 37(2/3): 96-107. [11] Nelson R. R., Todd P. A., Wixom B. H. Antecedents of information and system quality: An empirical examination within the context of data warehousing[J]. Journal of Management Information Systems, 2005, 21(4): 199-235. [12] Wixom B. H., Todd P. A. A theoretical integration of user satisfaction and technology acceptance[J]. Information Systems Research, 2005, 16(1): 85-102. [13] Wu J. H., Wang Y. M. Measuring ERP success: The key-users' viewpoint of the ERP to produce a viable IS in the organization[J]. Computers in Human Behavior, 2007, 23(3): 1582-1596. [14] Doll W. J., Torkzadeh G. The measurement of end-user computing satisfaction[J]. MIS Quarterly, 1988, 12(2): 259-274. [15] Polan i G., Heri ko M., Pavli L. Developers' perceptions of object-oriented frameworks-An investigation into the impact of technological and individual characteristics[J]. Computers in Human Behavior, 2011, 27(2): 730-740. [16] Kerimoglu O., Basoglu N., Daim T. Organizational adoption of information technologies: Case of enterprise resource planning systems[J]. The Journal of High Technology Management Research, 2008, 19(1): 21-35. [17] Abugabah A., Sanzogni L. Re-conceptualizing information systems models: An experience from ERP systems environment[J]. International Journal for Infonomics, 2010, 3(4): 414-421. [18] Chung B. Y., Skibniewski M. J., Lucas Jr H. C., Kwak Y. H. Analyzing enterprise resource planning system implementation success factors in the engineering-construction industry[J]. Journal of Computing in Civil Engineering, 2008, 22(6): 373-382. [19] Thong J. Y. L., Hong W., Tam K. Y. Understanding user acceptance of digital libraries: What are the roles of interface characteristics, organizational context, and individual differences?[J]. International Journal of Human-Computer Studies, 2002, 57(3): 215-242. [20] Ahn T., Ryu S., Han I. The impact of the online and offline features on the user acceptance of internet shopping malls[J]. Electronic Commerce Research and Applications, 2004, 3(4): 405-420. [21] Liao Z., Cheung M. T. Internet-based E-banking and consumer attitudes: An empirical study[J]. Information & Management, 2002, 39(4): 283-295. [22] Lin H.-F. The role of online and offline features in sustaining virtual communities: An empirical study[J]. Internet Research, 2007, 17(2): 119-138. [23] Cho V., Cheng T., Lai W. The role of perceived user-interface design in continued usage intention of self-paced E-learning tools[J]. Computers & Education, 2009, 53(2): 216-227. [24] Chang M.-K., Cheung W., Cheng C.-H., Yeung J. H. Y. Understanding ERP system adoption from the user's perspective[J]. International Journal of Production Economics, 2008, 113(2): 928-942. [25] Venkatesh V. Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model[J]. Information Systems Research, 2000, 11(4): 342-365. [26] Venkatesh V., Thong J., Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology[J]. MIS Quarterly, 2012, 36(1): 157-178. [27] 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[J]. Information Systems Research, 2003, 14(2): 189-217. [28] Nunnally J. C., Bernstein I. H. Psychometric theory[M].New York: McGraw-Hill, 1994 [29] Fornell C., Larcker D. F. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1): 39-50. [30] Chin W. W. The partial least square approach to structural equation modeling[C]. In Modern Methods for Business Research, G.A. Marcoulides (ed.) Mahwah, New Jersey: Lawrence Erlbaum Associates, 1998, 295-336. [31] Boudreau M. C., Robey D. Enacting integrated information technology: A human agency perspective[J]. Organization Science, 2005, 16(1): 3-18.

基金

教育部人文社会科学研究青年基金项目（11YJC630189）；浙江省自然科学基金项目（LQ12G02009、LY13G020010）；中国博士后科学基金项目（2011M500105）；浙江省高校人文社科重点研究基地“决策科学与创新管理”资助项目（RWSKZD02-201206）；浙江工商大学现代商贸研究中心资助。