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Knowledge system commitment and knowledge sharing intention: The role of personal information management motivation

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  • Hwang, Yujong
  • Lin, Hui
  • Shin, Donghee

Abstract

Knowledge management systems (KMSs) provide organizations processes and tools to capture, organize, and manage knowledge. A plethora of research has investigated how technical and social aspects of KMSs impact users’ intentions and usage behavior. Recent inquiries on KMSs have begun to explore individual related factors such as individual motivation and personal information management practices. This study explores the effect of personal information management motivation (specifically information proactiveness, transparency, and formality) on users’ commitment to knowledge systems. Theoretically grounded in the three-component model of commitment, the research model tests the relationships between personal information management motivation and the affective, calculative, and normative dimensions of commitment. Survey results of 78 accounting professionals demonstrate that information formality has the strongest effect on users’ knowledge system commitment compared to information proactiveness and transparency. This study contributes to knowledge management research by incorporating and emphasizing the power of “person” in knowledge management.

Suggested Citation

  • Hwang, Yujong & Lin, Hui & Shin, Donghee, 2018. "Knowledge system commitment and knowledge sharing intention: The role of personal information management motivation," International Journal of Information Management, Elsevier, vol. 39(C), pages 220-227.
  • Handle: RePEc:eee:ininma:v:39:y:2018:i:c:p:220-227
    DOI: 10.1016/j.ijinfomgt.2017.12.009
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    References listed on IDEAS

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    Cited by:

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    2. Saurabh Gupta & Sadananda Prusty, 2024. "Does consumer empowerment influence e-payment systems adoption? A digital consumer-centric perspective," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(3), pages 1-15, September.
    3. Ni, Zi-jian & Rong, Lili & Wang, Ning & Cao, Shuo, 2019. "Knowledge model for emergency response based on contingency planning system of China," International Journal of Information Management, Elsevier, vol. 46(C), pages 10-22.
    4. Haoyi Huang & Eddie W. L. Cheng, 2022. "The Role of Commitment in an Extended Theory of Planned Behavior: Test of Its Mediating Effect with Partial Least Squares Structural Equation Modeling," Mathematics, MDPI, vol. 10(7), pages 1-13, March.
    5. Wang, Xinyi & Beh, Loo-See, 2025. "The Yin and Yang of social media: Employing PLS-SEM, fsQCA, and NCA to assess its effects on employee work performance," Technological Forecasting and Social Change, Elsevier, vol. 217(C).
    6. Al-Emran, Mostafa & Mezhuyev, Vitaliy & Kamaludin, Adzhar & Shaalan, Khaled, 2018. "The impact of knowledge management processes on information systems: A systematic review," International Journal of Information Management, Elsevier, vol. 43(C), pages 173-187.
    7. Wang, Nan & Wang, Liya & Ma, Zhenzhong & Wang, Shouyang, 2022. "From knowledge seeking to knowledge contribution: A social capital perspective on knowledge sharing behaviors in online Q&A communities," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    8. Hindah Mustika & Anis Eliyana & Tri Siwi Agustina & Aisha Anwar, 2022. "Testing the Determining Factors of Knowledge Sharing Behavior," SAGE Open, , vol. 12(1), pages 21582440221, February.

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