End-User's Disconfirmed Expectations and the Success of Information Systems

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
Jinjoo Lee, Sang-Hoon Kim, Kunsoo Suh
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引用次数: 66

Abstract

Noting considerable alienation or dissatisfaction on the part of computer users, MIS literature has looked at a variety of social science techniques, including consumer satisfaction theory, for solutions to these problems. The dominant model of consumer satisfaction and dissatisfaction has been based on the disconfirmation of expectations paradigm. However, a critique of the disconfirmation of expectations model shows that using predictive expectation as a comparison standard reveals a number of conceptual and empirical problems. To overcome these problems, this paper suggests desired expectations as an alternative comparison standard. This paper proposes a desired expectations model of end-user computing EUC success that describes that the success of EUC be determined by the discrepancy between end-user desires and actual performance of information systems. Analysis of data from 150 end-users in Korean business firms shows that attitudinal measures of EUC success i.e., overall user satisfaction and perceived usefulness were significantly influenced by the level of discrepancy. This empirical result supports the assumption that the success of EUC depends on how end-users perceive the actual performance of information systems in the context of what they want
终端用户不确定的期望与信息系统的成功
注意到计算机用户的相当疏远或不满,管理信息系统文献研究了各种社会科学技术,包括消费者满意度理论,以解决这些问题。消费者满意和不满意的主要模型是基于期望的不确认范式。然而,对期望模型失确认的批评表明,使用预测期望作为比较标准揭示了一些概念和经验问题。为了克服这些问题,本文提出了期望期望值作为替代比较标准。本文提出了终端用户计算EUC成功的期望模型,该模型描述了终端用户期望与信息系统实际性能之间的差异决定了EUC的成功。对韩国商业公司150名最终用户的数据分析表明,EUC成功的态度措施,即总体用户满意度和感知有用性受到差异程度的显著影响。这一实证结果支持了这样的假设,即EUC的成功取决于最终用户如何在他们想要的环境中感知信息系统的实际性能
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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