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

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  • Gurca, Andrei
  • Bagherzadeh, Mehdi
  • Velayati, Rezvan

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

  • Gurca, Andrei & Bagherzadeh, Mehdi & Velayati, Rezvan, 2023. "Aligning the crowdsourcing type with the problem attributes to improve solution search efficacy," Technovation, Elsevier, vol. 119(C).
    • Handle: RePEc:eee:techno:v:119:y:2023:i:c:s0166497222001602
    DOI: 10.1016/j.technovation.2022.102613
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    References listed on IDEAS

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    1. Dahlander, Linus & Gann, David M. & Wallin, Martin W., 2021. "How open is innovation? A retrospective and ideas forward," Research Policy, Elsevier, vol. 50(4).
    2. Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
    3. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    4. Ann Majchrzak & Lynne P. Cooper & Olivia E. Neece, 2004. "Knowledge Reuse for Innovation," Management Science, INFORMS, vol. 50(2), pages 174-188, February.
    5. Amanda J. Porter & Philipp Tuertscher & Marleen Huysman, 2020. "Saving Our Oceans: Scaling the Impact of Robust Action Through Crowdsourcing," Journal of Management Studies, Wiley Blackwell, vol. 57(2), pages 246-286, March.
    6. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    7. Ren, Jie & Han, Yue & Genc, Yegin & Yeoh, William & Popovič, Aleš, 2021. "The boundary of crowdsourcing in the domain of creativity✰," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    8. Ivo Blohm & Ulrich Bretschneider & Jan Marco Leimeister & Helmut Krcmar, 2011. "Does collaboration among participants lead to better ideas in IT-based idea competitions? An empirical investigation," International Journal of Networking and Virtual Organisations, Inderscience Enterprises Ltd, vol. 9(2), pages 106-122.
    9. Boons, Mark & Stam, Daan, 2019. "Crowdsourcing for innovation: How related and unrelated perspectives interact to increase creative performance," Research Policy, Elsevier, vol. 48(7), pages 1758-1770.
    10. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    11. Haeussler, Carolin & Vieth, Sabrina, 2022. "A question worth a million: The expert, the crowd, or myself? An investigation of problem solving," Research Policy, Elsevier, vol. 51(3).
    12. Teppo Felin & Todd R. Zenger, 2016. "CROSSROADS—Strategy, Problems, and a Theory for the Firm," Organization Science, INFORMS, vol. 27(1), pages 222-231, February.
    13. Kokshagina, Olga & Le Masson, Pascal & Bories, Florent, 2017. "Fast-connecting search practices: On the role of open innovation intermediary to accelerate the absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 232-239.
    14. Linus Dahlander & Henning Piezunka, 2020. "Why crowdsourcing fails," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-9, December.
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    Cited by:

    1. Mahotra, Arvind & Majchrzak, Ann, 2024. "Digital innovations in crowdsourcing using AI tools," Technovation, Elsevier, vol. 133(C).
    2. Bonazzi, Riccardo & Viscusi, Gianluigi & Solidoro, Adriano, 2024. "Crowd mining as a strategic resource for innovation seekers," Technovation, Elsevier, vol. 132(C).

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