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Knowledge sharing in online environments: A qualitative case study

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  • Khe Foon Hew
  • Noriko Hara

Abstract

This study expands the perspective of knowledge sharing by categorizing the different types of knowledge that individuals shared with one another and examining the patterns of motivators and barriers of knowledge sharing across three online environments pertaining to the following professional practices—advanced nursing practice, Web development, and literacy education. The patterns indicate the different possible combinations of motivators or barriers that may exist in individuals. Data were gathered through online observations and semistructured interviews with 54 participants. The cross‐case analysis shows that the most common type of knowledge shared across all three environments was practical knowledge. Overall, seven motivators were found. Analysis also suggests that the most common combination of motivators for knowledge sharing was collectivism and reciprocity. A total of eight barriers were identified. The most common combination of barriers varied in each online environment. Discussions as to how the types of professional practices may contribute to the different results are provided, along with implications and future possible research directions.

Suggested Citation

  • Khe Foon Hew & Noriko Hara, 2007. "Knowledge sharing in online environments: A qualitative case study," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(14), pages 2310-2324, December.
    • Handle: RePEc:bla:jamist:v:58:y:2007:i:14:p:2310-2324
    DOI: 10.1002/asi.20698
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    1. repec:hal:wpspec:info:hdl:2441/27dls12b6d8aor7i6sipg9ie3g is not listed on IDEAS
    2. Zhang Rui & Jamal El-Den & Chen Qianzhu, 2015. "Knowledge Sharing in Enterprise Business Simulative Games: An Empirical Analysis," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 14(04), pages 1-10, December.
    3. Shuchita Bakshi & Nikita Dogra & Anil Gupta, 2019. "What motivates posting online travel reviews? Integrating gratifications with technological acceptance factors," Tourism and Hospitality Management, University of Rijeka, Faculty of Tourism and Hospitality Management, vol. 25(2), pages 335-354, December.
    4. Emeric Henry & Ekaterina Zhuravskaya & Sergei Guriev, 2022. "Checking and Sharing Alt-Facts," American Economic Journal: Economic Policy, American Economic Association, vol. 14(3), pages 55-86, August.
    5. Silvia Colabianchi & Margherita Bernabei & Francesco Costantino & Elpidio Romano & Andrea Falegnami, 2023. "MARLIN Method: Enhancing Warehouse Resilience in Response to Disruptions," Logistics, MDPI, vol. 7(4), pages 1-34, December.
    6. Lorenz Graf-Vlachy & Tarun Goyal & Yannick Ouardi & Andreas König, 2021. "Reviews Left and Right: The Link Between Reviewers’ Political Ideology and Online Review Language," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 63(4), pages 403-417, August.
    7. repec:hal:spmain:info:hdl:2441/27dls12b6d8aor7i6sipg9ie3g is not listed on IDEAS
    8. Johnson, J. David, 2012. "Knowledge networks: Dilemmas and paradoxes," International Journal of Information Management, Elsevier, vol. 32(4), pages 347-353.
    9. DongHee Kim & SooCheong Shawn Jang, 2019. "The psychological and motivational aspects of restaurant experience sharing behavior on social networking sites," Service Business, Springer;Pan-Pacific Business Association, vol. 13(1), pages 25-49, March.
    10. Zaggl, Michael A., 2017. "Manipulation of explicit reputation in innovation and knowledge exchange communities: The example of referencing in science," Research Policy, Elsevier, vol. 46(5), pages 970-983.

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