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Digital innovations in crowdsourcing using AI tools

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  • Mahotra, Arvind
  • Majchrzak, Ann

Abstract

The tools for crowdsourcing have been a research focus for quite some time. However, even today, crowdsourcing platforms have remained rather technologically rudimentary as simply idea dropboxes and discussion forums. Our research has indicated that technical modifications to current crowdsourcing platforms are needed for crowds to generate more novel and useful solutions. In this article, we briefly describe basic technology requirements to foster collective co-production. Then, we suggest further digital innovations involving the use of AI technologies that are needed to maximize the potential of crowdsourcing.

Suggested Citation

  • Mahotra, Arvind & Majchrzak, Ann, 2024. "Digital innovations in crowdsourcing using AI tools," Technovation, Elsevier, vol. 133(C).
    • Handle: RePEc:eee:techno:v:133:y:2024:i:c:s0166497224000476
    DOI: 10.1016/j.technovation.2024.102997
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    References listed on IDEAS

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    1. Malhotra, Arvind & Kubowicz Malhotra, Claudia, 2023. "Searching for ideas from creative Crowds: The role of examples in problem statements," Journal of Business Research, Elsevier, vol. 164(C).
    2. Moghaddam, Ehsan Noorzad & Aliahmadi, Alireza & Bagherzadeh, Mehdi & Markovic, Stefan & Micevski, Milena & Saghafi, Fatemeh, 2023. "Let me choose what I want: The influence of incentive choice flexibility on the quality of crowdsourcing solutions to innovation problems," Technovation, Elsevier, vol. 120(C).
    3. Marcel Bogers & Ann-Kristin Zobel & Allan Afuah & Esteve Almirall & Sabine Brunswicker & Linus Dahlander & Lars Frederiksen & Annabelle Gawer & Marc Gruber & Stefan Haefliger & John Hagedoorn & Dennis, 2017. "The open innovation research landscape: established perspectives and emerging themes across different levels of analysis," Industry and Innovation, Taylor & Francis Journals, vol. 24(1), pages 8-40, January.
    4. Linus Dahlander & Henning Piezunka, 2020. "Why crowdsourcing fails," Journal of Organization Design, Springer;Organizational Design Community, vol. 9(1), pages 1-9, December.
    5. 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).
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