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An Empirical Investigation of Habitual Usage and Past Usage on Technology Acceptance Evaluations and Continuance Intention

机译:习惯用法和过去用法对技术接受评估和持续意图的实证研究

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摘要

Although much research has examined information technology (IT) usage that involves deliberate evaluation and decision-making, we know less about automatic use that occurs spontaneously with little conscious effort. In this study we have investigated this issue by studying how habitual usage and past usage may influence the predicting power of perceived ease of use (PEOU) and perceived usefulness (PU) on intention. Using 232 cross-sectional responses from subjects who have continuously used the Google search engine, the results show that as individuals get into the habit of continuously using a system, the predicting power of PU and PEOU on intention is diluted by the addition of either habitual usage or past usage. This indicates that the stronger the habitual use of the Google search engine, the less conscious planning is involved, and the relationship between subjects' evaluations of PU/PEOU and their intention to use weakens. Furthermore, our study shows that past usage, often employed as a proxy of habitual usage, demonstrates a similar effect but differs in the predicting power from habitual usage. This result suggests that researchers may employ habitual usage for studies of post-adoption phenomenon concerning continuous information system usage. [PUBLICATION ABSTRACT]
机译:尽管许多研究已经研究了涉及故意评估和决策的信息技术(IT)的使用,但我们对自动使用却很少有意识地进行的了解较少。在这项研究中,我们通过研究习惯用法和过去用法如何影响意图的感知易用性(PEOU)和感知有用性(PU)的预测能力来研究此问题。使用来自连续使用Google搜索引擎的受试者的232个横断面响应,结果表明,随着个人养成不断使用系统的习惯,PU和PEOU对意图的预测能力会因添加两种习惯而被削弱使用情况或过去的使用情况。这表明Google搜索引擎的习惯使用性越强,涉及的意识就越弱,并且受试者对PU / PEOU的评估与其使用意图之间的关系减弱。此外,我们的研究表明,过去的用法(通常被用作习惯用法的代名词)显示出相似的效果,但与习惯用法的预测能力不同。这一结果表明,研究人员可能习惯性地研究与连续信息系统使用有关的采用后现象。 [出版物摘要]

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  • 来源
    《Database for Advances in Information Systems》 |2008年第4期|p.48-73|共26页
  • 作者

    Mei-Chun Wu Feng-Yang Kuo;

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    Mei-Chun WuNational Sun Yat-sen University, TaiwanFeng-Yang KuoNational Sun Yat-sen University, TaiwanAcknowledgmentsThis is an extended, journal version of a paper that appeared in the Proceedings of the Thirteenth Americas Conference on In formation Systems. The research has been supported by the NationaT Science Council, Taiwan. (NSC95-2416-H-110-031-MY2).About the AuthorsMei-Chun Wu is a Ph.D. student at National Sun Yat-Sen University, Taiwan. She holds both M.S. and a B. S. degrees in computer science from National Chiao-Tung University, Taiwan. She is currently a visiting student at the Department of Psychology, University of Toronto at Mississauga. Her research interests include post-adoption behavior, decision support, computer-mediated communication, and human-computer interactions.Feng-Yang Kuo holds a PhD in Information Systems from the University of Arizona, formerly faculty in Information Systems at the University of Colorado in Denver, is currently a Professor of Information Management at the National Sun Yat-Sen University, Taiwan. Professor Kuo's research interests include cognition and learning in organizations, information ethics, knowledge management, and human-computer interactions. He has published in Communications of the ACM, MIS Quarterly, J. of the American Society for Information Science and Technology (JASIST), Decision Support Systems, J. of Business Ethics, Information & Management, J. of Systems and Software, and Computers in Human Behavior.Please direct all correspondence to Feng-Yang Kuo:E-mail: kuofengyang@gmail.comPhone: 886-7-5254731Fax: 886-7-5254799;

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