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Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes

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  • Christy M.K. Cheung
  • Matthew K.O. Lee
  • Zach W.Y. Lee

Abstract

Web 2.0 creates a new world of collaboration. Many online communities of practice have provided a virtual Internet platform for members to create, collaborate, and contribute their expertise and knowledge. To date, we still do not fully understand how members evaluate their knowledge‐sharing experiences, and how these evaluations affect their decisions to continue sharing knowledge in online communities of practice. In this study, we examined why members continue to share knowledge in online communities of practice, through theorizing and empirically validating the factors and emergent mechanisms (post‐knowledge‐sharing evaluation processes) that drive continuance. Specifically, we theorized that members make judgments about their knowledge‐sharing behaviors by comparing their normative expectations of reciprocity and capability of helping other members with their actual experiences. We empirically tested our research model using an online survey of members of an online community of practice. Our results showed that when members found that they receive the reciprocity they expected, they will feel satisfied. Likewise, when they found that they can help other members as they expected, they will feel satisfied and their knowledge self‐efficacy will also be enhanced. Both satisfaction and knowledge self‐efficacy further affect their intention to continue sharing knowledge in an online community of practice. We expect this study will generate interest among researchers in this important area of research, and that the model proposed in this article will serve as a starting point for furthering our limited understanding of continuance behaviors in online communities of practice.

Suggested Citation

  • Christy M.K. Cheung & Matthew K.O. Lee & Zach W.Y. Lee, 2013. "Understanding the continuance intention of knowledge sharing in online communities of practice through the post‐knowledge‐sharing evaluation processes," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(7), pages 1357-1374, July.
  • Handle: RePEc:bla:jamist:v:64:y:2013:i:7:p:1357-1374
    DOI: 10.1002/asi.22854
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    Cited by:

    1. Xiaomo Liu & G. Alan Wang & Weiguo Fan & Zhongju Zhang, 2020. "Finding Useful Solutions in Online Knowledge Communities: A Theory-Driven Design and Multilevel Analysis," Information Systems Research, INFORMS, vol. 31(3), pages 731-752, September.
    2. Yan, Min & Filieri, Raffaele & Raguseo, Elisabetta & Gorton, Matthew, 2021. "Mobile apps for healthy living: Factors influencing continuance intention for health apps," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    3. Hyeon Gyu Jeon & Kun Chang Lee, 2020. "Emotional Factors Affecting Knowledge Sharing Intentions in the Context of Competitive Knowledge Network," Sustainability, MDPI, vol. 12(4), pages 1-23, February.
    4. Regina Lenart-Gansiniec, 2017. "Virtual Knowledge Sharing in Crowdsourcing: Measurement Dilemmas," Journal of Entrepreneurship, Management and Innovation, Fundacja Upowszechniająca Wiedzę i Naukę "Cognitione", vol. 13(3), pages 95-123.
    5. Yifan Yu & Shan Huang & Yuchen Liu & Yong Tan, 2020. "Emotions in Online Content Diffusion," Papers 2011.09003, arXiv.org, revised Mar 2022.
    6. Sarika Singh & Ashutosh Muduli, 2021. "Factors Influencing Information Sharing Intention for Human Resource Analytics," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 115-133.
    7. Jyoti Jagasia & Utpal Baul & Debasis Mallik, 2015. "A Framework for Communities of Practice in Learning Organizations," Business Perspectives and Research, , vol. 3(1), pages 1-20, January.
    8. Yeganeh Charband & Nima Jafari Navimipour, 2016. "Online knowledge sharing mechanisms: a systematic review of the state of the art literature and recommendations for future research," Information Systems Frontiers, Springer, vol. 18(6), pages 1131-1151, December.

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