信息技术初期接受扩展模型及其实证研究被引量：52

Extended Information Technology Initial Acceptance Model and Its Empirical Test

导出

摘要在技术接受模型(TAM)以及有关信息技术采纳方面的其他研究成果基础上,提出了一个在中国环境下针对使用者信息技术初期接受的扩展模型,并使用该模型,在某商学院内,针对本科新生对某英语电子学习系统的初期认知和接受情况进行了问卷调查.根据回收的121份有效问卷,利用结构方程模型统计方法,对该信息技术初期接受扩展模型进行了实证检验.分析结果表明,模型中提出的多数因素对使用者的近期使用意图和远期使用意图有着直接或间接的显著影响,该模型对于个人用户初期信息技术采纳行为具有较好的解析作用.在此基础上,可展开跨时间维度的纵向跟踪调查. Based on the literature on the Technology Acceptance Model （TAM） and related efforts in technology adoption research, this paper proposed an extended model for analyzing initial IT acceptance behavior of Chinese users. To empirically test the model, we conducted a survey regarding the recognition and adoption of an English elearning system in the freshmen of a business school. Results from structured equation model （SEM） analyses illustrated that most of the factors in the proposed model have direct or indirect significant influence on both short-term and long-term intention of use. Therefore, it was demonstrated that the model possesses the ability to interpret the initial IT acceptance behavior of individual Chinese users. Grounded on the results, future work will be focused on longitudinal studies.

作者张楠郭迅华陈国青

机构地区清华大学经济管理学院

出处《系统工程理论与实践》 EI CSCD 北大核心 2007年第9期123-130,共8页 Systems Engineering-Theory & Practice

基金国家自然科学基金(70231010 70621061)

关键词信息技术技术采纳技术接受模型(TAM) 结构方程模型 information technology technology adoption technology acceptance model （TAM） structural equation modeling

分类号 C931.6 [经济管理—管理学]

引文网络
相关文献

参考文献44

1王众托.信息化与管理变革[J].政策与管理,2000(4):42-45. 被引量：28
2Venkatesh V,Davis F D.A theoretical extension of the technology acceptance model:For longitudinal field studies[J].Management Science,2000,46(2):186-204.
3Zhu K,Kraemer K L.Post-adoption variations in usage and value of E-business by organizations:Cross-country evidence from the retail industry[J].Information Systems Research,2005,16(1):61-84.
4Yi M Y,Hwang Y J.Predicting the use of web-based information systems:Self-efficacy,enjoyment,learning goal orientation,and the technology acceptance model[J].International Journal of Human-Computer Studies,2003,59(4):431-449.
5Legris P,Ingham J,Collerette P.Why do people use information technology? A critical review of the technology acceptance model[J].Information & Management,2003,40(3):191-204.
6刘文雯,高平,徐博艺.企业信息技术采纳行为研究综述[J].研究与发展管理,2005,17(3):52-58. 被引量：41
7Fichman R G.Information technology diffusion:A review of empirical research[C]//The Thirteenth International Conference on Information Systems; Dallas,Texas,United States,1992,195-206.
8Venkatesh V,Morris M G.Why don't men ever stop to ask for directions? Gender,social influence,and their role in technology acceptance and usage behavior[J].MIS Quarterly,2000,24(1):115-239.
9Karahanna E,Straub D W,Chervany N L.Information technology adoption across time:A cross-sectional comparison of pre-adoption and post-adoption beliefs[J].MIS Quarterly,1999,23(2):183-213.
10Kim S S,Malhotra N K.A longitudinal model of continued is use:An integrative view of four mechanisms underlying postadoption phenomena[J].Management Science,2005,51(5):741-755.

二级参考文献34

1[1]F. Davis,R. Bagozzi and P. Warshaw,User acceptance of user technology: a comparison of two theoretical models. Management Science 35 (1989),pp. 982～1002.
2[2]Bauer,R.A. "Consumer behavior as risk raking" in Hancock,R.S. (Ed.),Dynamic Marketing for a Changing World,Proceedings of the 43rd Conference of the American Marketing Association,1960,pp. 389～398.
3[3]Agarwal,Sanjeev and Teas,R. Kenneth. "Perceived value: mediating role of perceived risk. " Journal of marketing theory and practice,Fa11 2001,Vol. 9,Issue 4,pp. 1～14.
4[4]Mitchell,1999.V-W Mitchell,Consumer perceived risk: conceptualizations and models. Eur J Mark 33 1/2 (1999),pp. 163～196.
5Davis F D. Perceived usefulness, perceived ease of use, and user acceptance of information technology[J]. MIS Quarterly. 1989, (9):319-340.
6Davis F D. A Technology Acceptance Model of Empirically Testing New End - User Information Systems: Theory and Results[D]. Sloan School of Management, Massachusetts Institute of Technology. 1986.
7Mark T D, Diane M S. Supporting software maintenance with software engineering tools: A Computed task-technology fit analysis [J]. The Journal of Systems and Software. 1998, 44:107-120.
8Goodhue D L, Thompson R L. Task-technology fit and individual performance [J]. MIS Quarterly. 1995, 19 (2):213-236.
9Mark T D, Diane M S. Extending the technology acceptance model with task-technology fit constructs[J]. Information & Management. 1999, 36:9-21.
10Kieran Mathiesona, Mark Keil1. Beyond the interface: Ease of use and task-technology fit. Information & Management. 1998, 34:221-230.