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The role of trust belief and its antecedents in a community‐driven knowledge environment

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  • Byoungsoo Kim
  • Ingoo Han

Abstract

Given the prevalence of community‐driven knowledge sites (CKSs), such as Naver Knowledge In and Yahoo! Answers, it has become important to understand the key drivers of user decision‐making processes. In the online environment, building and maintaining user trust belief is a significant challenge to the continuing growth and long‐term viability of information systems (IS), due to the open nature of the Internet. This study develops a theoretical framework to examine the role of trust belief in the CKS post‐adoption phenomenon. This study also presents an investigation of the key antecedents of trust belief to understand the mechanism of building user trust belief in a CKS. Based on the multidimensional trust formation model, this study posits user satisfaction, perceived reputation, disposition to trust, and information quality as the trust belief antecedents. Data collected from 258 users who have direct experiences with Naver Knowledge In was used to test the research model using structural equation modeling. This study preliminarily confirms the salience of user trust belief in the CKS post‐adoption phenomenon. The findings also indicate that the cognitive‐based, affective‐based, and personality‐oriented trust antecedents play a significant role in enhancing trust belief in a CKS. Theoretical and practical implications of the findings are described.

Suggested Citation

  • Byoungsoo Kim & Ingoo Han, 2009. "The role of trust belief and its antecedents in a community‐driven knowledge environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(5), pages 1012-1026, May.
    • Handle: RePEc:bla:jamist:v:60:y:2009:i:5:p:1012-1026
    DOI: 10.1002/asi.21041
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    Cited by:

    1. Liu, Qian & Shao, Zhen & Fan, Weiguo, 2018. "The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China," International Journal of Information Management, Elsevier, vol. 43(C), pages 209-223.
    2. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    3. Choi, Hun & Kim, Youngchan & Kim, Jinwoo, 2011. "Driving factors of post adoption behavior in mobile data services," Journal of Business Research, Elsevier, vol. 64(11), pages 1212-1217.
    4. Feng Xu & Xuejiao Lin & Shuaishuai Li & Wenxia Niu, 2018. "Is Southern Xinjiang Really Unsafe?," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    5. Brad Sago, 2015. "A Comparison Of User Perceptions And Frequency Of Use Of Social Media To Use Of Social Media," International Journal of Management and Marketing Research, The Institute for Business and Finance Research, vol. 8(1), pages 15-29.
    6. Hau, Yong Sauk & Kim, Byoungsoo & Lee, Heeseok & Kim, Young-Gul, 2013. "The effects of individual motivations and social capital on employees’ tacit and explicit knowledge sharing intentions," International Journal of Information Management, Elsevier, vol. 33(2), pages 356-366.

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