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A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management

Author

Listed:
  • Maria Cristina Pietronudo

    (PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples)

  • Gregoire Croidieu

    (EM - EMLyon Business School)

  • Francesco Schiavone

    (PARTHENOPE - Università degli Studi di Napoli “Parthenope” = University of Naples, PSB - Paris School of Business - HESAM - HESAM Université - Communauté d'universités et d'établissements Hautes écoles Sorbonne Arts et métiers université)

Abstract

Given innovation's chaotic nature, organizations struggle to make decisions when managing innovation. Both academics and practitioners hope artificial intelligence can solve this problem and provide a solution to support and rationalize innovation processes. The literature on this topic, however, is fragmented. The goal of this paper is to systematically review the literature to guide future research. We build on the garbage can model, as our findings reveal that the rationalizing influences of AI on innovation management as a decision-making process is varied. Our results reveal four main influences that pave the way for future research: AI augmenting rationality, AI augmenting creativity, AI renewing the organizing of innovation, and AI triggering new challenges. Taken together, these findings suggest AI is not a tool that uniformly optimizes innovation management and decision-making but rather, is best understood as a multifaceted solution, with intended and unintended rationalizing influences, in search of problems to solve.

Suggested Citation

  • Maria Cristina Pietronudo & Gregoire Croidieu & Francesco Schiavone, 2022. "A solution looking for problems? A systematic literature review of the rationalizing influence of artificial intelligence on decision-making in innovation management," Post-Print hal-04325569, HAL.
    • Handle: RePEc:hal:journl:hal-04325569
    DOI: 10.1016/j.techfore.2022.121828
    as

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