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Diversity in online self-organizing teams : Longitudinal evidence from an open innovation community

Author

Listed:
  • Jifeng Ma
  • Yaobin Lu
  • Yeming Gong

    (EM - EMLyon Business School)

  • Ran Li

Abstract

Purpose The development of information technologies has fueled the emergence of online self-organizing teams that involve members with diverse backgrounds to work on a shared goal voluntarily. However, the differences in members' attributes give rise to diversity. Therefore, the authors' research is to figure out how diversity affects team performance in the context of online self-organizing teams and how this effect changes over team tenure. Design/methodology/approach The authors use a dynamic approach to the diversity-team performance relationship and collect a publicly longitudinal dataset on 3,970 collaborative items from 2,550 online self-organizing teams spanning nine years in an open innovation community of an online game. Findings The empirical results show that culture separation is negatively related to team performance, and this negative relationship weakens as team tenure increases. While skill variety and contribution disparity are positively related to team performance, and these positive relationships strengthen as team tenure increases. Originality/value The study provides a research framework to examine the relationship between diversity and team performance and explore how this relationship varies over team tenure in the context of online self-organizing teams. The results not only demonstrate the double-edged role of diversity in affecting the success of online self-organizing teams but also advance the understanding on the temporal effect of diversity on team performance.

Suggested Citation

  • Jifeng Ma & Yaobin Lu & Yeming Gong & Ran Li, 2024. "Diversity in online self-organizing teams : Longitudinal evidence from an open innovation community," Post-Print hal-04463431, HAL.
  • Handle: RePEc:hal:journl:hal-04463431
    as

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