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Testing an integrative theoretical model of knowledge‐sharing behavior in the context of Wikipedia

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  • Hichang Cho
  • MeiHui Chen
  • Siyoung Chung

Abstract

This study explores how and why people participate in collaborative knowledge‐building practices in the context of Wikipedia. Based on a survey of 223 Wikipedians, this study examines the relationship between motivations, internal cognitive beliefs, social‐relational factors, and knowledge‐sharing intentions. Results from structural equation modeling (SEM) analysis reveal that attitudes, knowledge self‐efficacy, and a basic norm of generalized reciprocity have significant and direct relationships with knowledge‐sharing intentions. Altruism (an intrinsic motivator) is positively related to attitudes toward knowledge sharing, whereas reputation (an extrinsic motivator) is not a significant predictor of attitude. The study also reveals that a social‐relational factor, namely, a sense of belonging, is related to knowledge‐sharing intentions indirectly through different motivational and social factors such as altruism, subjective norms, knowledge self‐efficacy, and generalized reciprocity. Implications for future research and practice are discussed.

Suggested Citation

  • Hichang Cho & MeiHui Chen & Siyoung Chung, 2010. "Testing an integrative theoretical model of knowledge‐sharing behavior in the context of Wikipedia," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(6), pages 1198-1212, June.
    • Handle: RePEc:bla:jamist:v:61:y:2010:i:6:p:1198-1212
    DOI: 10.1002/asi.21316
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    Citations

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    Cited by:

    1. Nicolas Jullien, 2012. "What We Know About Wikipedia: A Review of the Literature Analyzing the Project(s)," Post-Print hal-00857208, HAL.
    2. Zhao, Sesia J. & Zhang, Kem Z.K. & Wagner, Christian & Chen, Huaping, 2013. "Investigating the determinants of contribution value in Wikipedia," International Journal of Information Management, Elsevier, vol. 33(1), pages 83-92.
    3. Youngseek Kim & Ayoung Yoon, 2017. "Scientists' data reuse behaviors: A multilevel analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(12), pages 2709-2719, December.
    4. Hyejin Park & Han Woo Park, 2018. "Two-side face of knowledge building using scientometric analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(6), pages 2815-2836, November.
    5. Nguyen, Tuyet-Mai & Viet Ngo, Liem & Paramita, Widya, 2022. "Turning lurkers into innovation agents: An interactionist perspective of self-determinant theory," Journal of Business Research, Elsevier, vol. 141(C), pages 822-835.
    6. Ni Cheng & Ke Dong, 2018. "Knowledge communication on social media: a case study of Biomedical Science on Baidu Baike," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1749-1770, September.
    7. Zhang, Min & Li, Yuzhuo & Gu, Rongjie & Luo, Cheng, 2021. "What type of purchase do you prefer to share on social networking sites: Experiential or material?," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    8. Faseeh Amin Beig & Mohammad Furqan Khan, 2022. "Romancing the Brands on Social Media," Global Business Review, International Management Institute, vol. 23(3), pages 841-862, June.
    9. Helge Klapper & Markus Reitzig, 2018. "On the effects of authority on peer motivation: Learning from Wikipedia," Strategic Management Journal, Wiley Blackwell, vol. 39(8), pages 2178-2203, August.

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