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In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives

Author

Listed:
  • Bryan N. Zambrano Manzur

    (DECSAI, University of Granada)

  • Fabián A. Espinoza Bazán

    (University of Guayaquil)

  • Pavel Novoa-Hernández

    (University of Granada)

  • Carlos Cruz Corona

    (University of Granada)

Abstract

This research presents a systematic review and approximation, from 2018 to 2023, of how Artificial Intelligence can support decision-making processes when business managers have to resolve between multiple alternatives for the development of new businesses using Agile Frameworks; and as well, will be addressed from the genesis concepts such as VUCA, Agile Mindset, Infinite Game Theory, Agile Frameworks, Innovation, Artificial Intelligence among others with the aim of identifying research gaps in the decision-making process under changing environments. Most of the analyzed studies are focused on Infinity Games theory to better understand innovation processes linked from early stages to deployment phases of products. Furthermore, this paper analyzes AI techniques for decision-making under volatile circumstances and raises 5 research questions that from a logical and chronological perspective in development are resolved during the research. It is important to highlight that AI-related solutions are typically used to make informed decisions; however, few studies adopt AI to support the decision-making process in unstable environments.

Suggested Citation

  • Bryan N. Zambrano Manzur & Fabián A. Espinoza Bazán & Pavel Novoa-Hernández & Carlos Cruz Corona, 2024. "In what ways do AI techniques propel decision-making amidst volatility? Annotated bibliography perspectives," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-24, December.
    • Handle: RePEc:spr:joiaen:v:13:y:2024:i:1:d:10.1186_s13731-024-00396-2
    DOI: 10.1186/s13731-024-00396-2
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    References listed on IDEAS

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    1. Jens Poeppelbuss & Martin Ebel & Jürgen Anke, 2022. "Iterative uncertainty reduction in multi-actor smart service innovation," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 599-627, June.
    2. Josef Åström & Wiebke Reim & Vinit Parida, 2022. "Value creation and value capture for AI business model innovation: a three-phase process framework," Review of Managerial Science, Springer, vol. 16(7), pages 2111-2133, October.
    3. Ivan Martins De Andrade & Cleonir Tumelero, 2022. "Increasing customer service efficiency through artificial intelligence chatbot," Revista de Gestão, Emerald Group Publishing Limited, vol. 29(3), pages 238-251, May.
    4. Enrique de Diego Ruiz & Paloma Almodóvar & Ignacio Danvila del Valle, 2023. "What drives strategic agility? Evidence from a fuzzy-set qualitative comparative analysis (FsQCA)," International Entrepreneurship and Management Journal, Springer, vol. 19(2), pages 599-627, June.
    5. Saïd Echchakoui, 2020. "Why and how to merge Scopus and Web of Science during bibliometric analysis: the case of sales force literature from 1912 to 2019," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 165-184, September.
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    1. Uma Shankar Yadav & Shweta Vyas & Kanchan & Indrajit Ghosal & Ajay Kumar yadav, 2024. "Impact of entrepreneurial leadership, Social media, digital technology, Entrepreneurial orientation and innovation on business performance in the handicraft sector: Talent management as mediating cons," Journal of Innovation and Entrepreneurship, Springer, vol. 13(1), pages 1-34, December.

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