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Enhancing Problem-Solving Skills with AI: A Case Study on Innovation and Creativity in a Business Setting

Author

Listed:
  • Cynthia Hajj

    (Holy-Spirit University of Kaslik [Jounieh])

  • Christophe Schmitt

    (CEREFIGE - Centre Européen de Recherche en Economie Financière et Gestion des Entreprises - UL - Université de Lorraine)

  • Nehme Azoury

    (Holy-Spirit University of Kaslik [Jounieh])

Abstract

The adoption of artificial intelligence has risen, yet research on its impact on innovation processes between actual businesses remains sparse. This research fills the present gap by investigating ten workers from a tech startup who utilize artificial intelligence tools in operational and creative activities. The paper analyzes business-related AI functionality through a qualitative analysis of ten tech start-up employees. The examination reveals that AI produces significant enhancements in problem resolution by executing mundane actions while analyzing large datasets to deliver data-driven suggestions to users. The interview respondents mentioned that AI's role in diminishing supply chains is 15%, while allowing AI to manage customer service without employee engagement in 80% of interactions. The implementation costs, along with data dependency and occasional contextual blindness in AI systems, represented some of the problems in this system. Analysis demonstrated that AI tools enable the development of innovative concepts and challenge established viewpoints, prompting participants to create a gamified loyalty system and dynamic content planning. Participants in the study emphasized the need for human involvement to refine AI-based insights, recognizing how human imagination complements AI capabilities effectively. The work enhances academic discussions about AI-related problem-solving and creativity while offering specific business-related recommendations for implementation. The recommendations begin with establishing initial experimental programs, while providing support for employee's skills development, and fostering strong alliances between technical AI personnel and professional subject matter experts. Research topics focused on AI application fields and the anticipated impacts on company decision-making, as well as the ethical ramifications, need further exploration. This research confirms the revolutionary potential of artificial intelligence systems for problem-solving methods, but requires proper execution, along with human supervision, to fully realize their advantages.

Suggested Citation

  • Cynthia Hajj & Christophe Schmitt & Nehme Azoury, 2025. "Enhancing Problem-Solving Skills with AI: A Case Study on Innovation and Creativity in a Business Setting," Post-Print hal-05300779, HAL.
    • Handle: RePEc:hal:journl:hal-05300779
    DOI: 10.3390/admsci15100388
    Note: View the original document on HAL open archive server: https://hal.univ-lorraine.fr/hal-05300779v1
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    References listed on IDEAS

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    1. Dew, Nicholas & Read, Stuart & Sarasvathy, Saras D. & Wiltbank, Robert, 2009. "Effectual versus predictive logics in entrepreneurial decision-making: Differences between experts and novices," Journal of Business Venturing, Elsevier, vol. 24(4), pages 287-309, July.
    2. Ghezzi, Antonio & Cavallo, Angelo, 2020. "Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches," Journal of Business Research, Elsevier, vol. 110(C), pages 519-537.
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