Information Filtering in Electronic Networks of Practice: An fMRI Investigation of Expectation (Dis)confirmation

IF 7 3区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Kelly J. Fadel, Thomas O. Meservy, C. Kirwan
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引用次数: 3

Abstract

Online forums sponsored by electronic networks of practice (ENPs) have become an important platform for technology-mediated knowledge exchange, yet relatively little is known about how ENP participants filter and evaluate the information they encounter on these forums. This study integrates perspectives from expectation confirmation theory, prospect theory, and neuroscience research to explore how ENP forum filtering judgments are influenced when expectations formed on the basis of contextual cues are confirmed or disconfirmed by the examination of solution quality. We summarize six different models of expectation confirmation explored in previous IS literature and report the results of a neuroimaging experiment using functional MRI (fMRI) that paired both positive and negative contextual cues with high- and low-quality solutions on a mock ENP forum interface. Results show that evaluation judgments are strongest in conditions where initial contextual cue judgments are confirmed by examination of solution quality except when the perceived expectation-experience gap is large, providing evidence for an assimilation-contrast model of expectation confirmation. We also found neural activation differences for expectation confirmation vs. disconfirmation and, consistent with prospect theory, differences in filtering behaviors with respect to unexpected gains vs. unexpected losses.
电子实践网络中的信息过滤:期望(非)确认的fMRI研究
由电子实践网络(ENPs)赞助的在线论坛已成为技术介导的知识交流的重要平台,但对于ENP参与者如何过滤和评估他们在这些论坛上遇到的信息,人们知之甚少。本研究整合了期望确认理论、前景理论和神经科学研究的观点,探讨当情境线索形成的期望被解决方案质量检验证实或不证实时,ENP论坛过滤判断是如何受到影响的。我们总结了以前IS文献中探索的六种不同的期望确认模型,并报告了在模拟ENP论坛界面上使用功能磁共振成像(fMRI)将积极和消极背景线索与高质量和低质量解决方案配对的神经成像实验结果。结果表明,除了感知期望-经验差距较大外,当初始情境线索判断被解决方案质量检验证实时,评价判断最强,这为期望确认的同化-对比模型提供了证据。我们还发现了预期确认与预期不确认的神经激活差异,以及与前景理论一致的,关于意外收益与意外损失的过滤行为差异。
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来源期刊
Journal of the Association for Information Systems
Journal of the Association for Information Systems 工程技术-计算机:信息系统
CiteScore
11.20
自引率
5.20%
发文量
33
审稿时长
>12 weeks
期刊介绍: The Journal of the Association for Information Systems (JAIS), the flagship journal of the Association for Information Systems, publishes the highest quality scholarship in the field of information systems. It is inclusive in topics, level and unit of analysis, theory, method and philosophical and research approach, reflecting all aspects of Information Systems globally. The Journal promotes innovative, interesting and rigorously developed conceptual and empirical contributions and encourages theory based multi- or inter-disciplinary research.
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