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An Exploration of the Applications, Challenges, and Success Factors in AI-Driven Product Development and Management

Author

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  • Witkowski Aron

    (Warsaw University of Technology, Faculty of Management, Warsaw, POLAND)

  • Wodecki Andrzej

    (Warsaw University of Technology, Faculty of Management, Warsaw, POLAND)

Abstract

While extensive research studies exist on the influence of AI solutions on organizations as a whole, there is a paucity of comprehensive studies examining the adoption of these solutions in product development and subsequent management processes. This article presents an exploratory investigation of the applications, challenges, and determinants of success associated with artificial intelligence (AI) solutions employed in the product development and management processes. To this end, a qualitative thematic analysis is conducted based on twelve in-depth interviews with experts proficient in AI engineering and product management, representing twelve distinct organizations within the Polish IT sector. This article offers insights into four potential applications and expounds on various factors impacting the challenges and success of deployed AI solutions, generating two additional emergent themes. This article delineates practical implications for organizations and product managers and proposes intriguing directions for future research exploring topical areas of study.

Suggested Citation

  • Witkowski Aron & Wodecki Andrzej, 2024. "An Exploration of the Applications, Challenges, and Success Factors in AI-Driven Product Development and Management," Foundations of Management, Sciendo, vol. 16(1), pages 139-156.
    • Handle: RePEc:vrs:founma:v:16:y:2024:i:1:p:139-156:n:1009
    DOI: 10.2478/fman-2024-0009
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    References listed on IDEAS

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    1. María Teresa Ballestar & Pilar Grau-Carles & Jorge Sainz, 2019. "Predicting customer quality in e-commerce social networks: a machine learning approach," Review of Managerial Science, Springer, vol. 13(3), pages 589-603, June.
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    More about this item

    Keywords

    artificial intelligence; machine learning; product management; AI-driven development; data-driven development; new product development;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M30 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - General

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