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Online Knowledge Sharing Among Chinese and American Employees: Explore the Influence of National Cultural Differences

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  • Wei Li

    (University of Illinois at Urbana–Champaign, USA)

Abstract

This study investigates what are the national cultural factors that influence employees’ cross-cultural knowledge sharing in online environments and in what way. The article draws on findings from 41 in-depth interviewees conducted with 20 Chinese and 21 American employees who worked for a large multinational corporation. The rich interview data identified three national cultural differences that impacted Chinese and American participants’ knowledge sharing through an online system, namely, language, differences grounded in collectivism/individualism, and different levels of uncertainty avoidance. English created a barrier for Chinese users to post their ideas, but it did not seem to stop them from consuming knowledge. Differences grounded in collectivist/individualist values were mainly reflected in these two cultural groups’ different logic regarding the relationship between different working contexts and the necessity to share. Chinese also showed a higher level of uncertainty avoidance than Americans. Together these cultural differences could explain why Chinese shared knowledge less frequently than their American peers. Despite these reported cultural differences, findings from this research suggest that the actual cultural differences were smaller than what literature would predict. Possible explanations for fewer cultural differences are explored. Practical implications for knowledge management practitioners are also provided.

Suggested Citation

  • Wei Li, 2009. "Online Knowledge Sharing Among Chinese and American Employees: Explore the Influence of National Cultural Differences," International Journal of Knowledge Management (IJKM), IGI Global, vol. 5(3), pages 54-72, July.
  • Handle: RePEc:igg:jkm000:v:5:y:2009:i:3:p:54-72
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    Cited by:

    1. 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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