What enables and what prevents knowledge sharing via computer‐mediated communications?

Q2 Computer Science

Journal of Systems and Information Technology Pub Date : 2001-06-01 DOI:10.1108/13287260180000762

D. Cecez-Kecmanovic

引用次数: 8

Abstract

The paper investigates knowledge sharing and co‐creation in an organisation‐wide discussion supported by Computer‐Mediated Communication (CMC). The paper draws on the empirical evidence from a field study of a consultative process as part of a University strategic decision‐making. Informed by Habermas’s theory of communicative action, the investigation focuses on communicative practices in the CMC discussion and the ways participants interact, share knowledge and co‐create meanings in a particular situation. Communicative analysis of organisational discourse via CMC reveals hidden structures and mechanisms that impede knowledge sharing and inhibit cooperative meaning making. The issue here is whether CMC enables or disables some of these structures and mechanisms. By interpreting the CMC discussion as an argumentation process the paper aims to provide deeper insights into this issue. Among the lessons learned are requirements for new technologies to support knowledge sharing and meaning co‐creation.

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是什么促成了知识共享，又是什么阻碍了知识共享?

本文研究了在计算机中介通信(CMC)支持下的组织范围内讨论中的知识共享和共同创造。本文借鉴了作为大学战略决策一部分的咨询过程的实地研究的经验证据。根据哈贝马斯的交际行为理论，本研究的重点是CMC讨论中的交际实践，以及参与者在特定情况下互动、分享知识和共同创造意义的方式。通过CMC对组织话语进行交际分析，揭示了阻碍知识共享和抑制合作意义形成的隐藏结构和机制。这里的问题是CMC是否启用或禁用这些结构和机制。通过将CMC的讨论解释为一个论证过程，本文旨在对这个问题提供更深入的见解。这些经验教训包括对支持知识共享和意义共同创造的新技术的要求。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Systems and Information Technology Computer Science-Computer Science (all)

CiteScore

4.40

自引率

0.00%

发文量

期刊介绍： The Journal provides an avenue for scholarly work that researches systems thinking applications, information systems, electronic business, data analytics, information sciences, information management, business intelligence, and complex adaptive systems in the application domains of the business environment, health, the built environment, cultural settings, and the natural environment. Papers examine the wider implications of the systems or technology being researched. This means papers consider aspects such as social and organisational relevance, business value, cognitive implications, social implications, impact on individuals or community perspectives, and the development of solutions, rather than focusing solely on the technology. The Journal of Systems and Information Technology is open to a wide range of research methodologies and paper styles including case studies, surveys, experiments, review papers, design science, design thinking and both theoretical and methodological papers. The focus of the journal will be to publish work that fits into the following broad areas of research: Behavioural Information Systems and Human-Computer Interaction, Data Analytics, Data, Information and Security, E-Business, Intelligent Systems and Applications, Logistics and Supply Chain Management/Optimisation, Social Media Analysis, Technology Enhanced Learning.