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Aligning the crowdsourcing type with the problem attributes to improve solution search efficacy

Author

Listed:
  • Andrei Gurca
  • Mehdi Bagherzadeh
  • Rezvan Velayati

    (NEOMA - Neoma Business School)

Abstract

Drawing on the concept of bounded rationality and extant evidence, we argue that for specific problems (broad and ill-defined, urgent, highly technical), the prevailing approach to crowdsourcing (metaphorically labeled as "fishing" in this study) has several limitations that affect the quality of emerging solutions. For such problems, we argue that other types of crowdsourcing (i.e., collective production and "hunting") may generate more appropriate solutions. Our insights regarding the solution search process advance the literature by highlighting the importance of alignment between crowdsourcing type and problem attributes. We also provide a decision framework for managers suggesting how they can select the most appropriate type of crowdsourcing for their solution searching efforts.

Suggested Citation

  • Andrei Gurca & Mehdi Bagherzadeh & Rezvan Velayati, 2023. "Aligning the crowdsourcing type with the problem attributes to improve solution search efficacy," Post-Print hal-05514646, HAL.
    • Handle: RePEc:hal:journl:hal-05514646
    DOI: 10.1016/j.technovation.2022.102613
    as

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