In what ways do AI techniques propel decision-making amidst volatility? : Annotated bibliography perspectives
Bryan N. Zambrano Manzur, Fabián A. Espinoza Bazán, Pavel Novoa‑Hernández and Carlos Cruz Corona
This research presents a systematic review and approximation, from 2018 to 2023, of how Artifcial 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, Infnite Game Theory, Agile Frameworks, Innovation, Artifcial Intelligence among others with the aim of identifying research gaps in the decision-making process under changing environments. Most of the ana lyzed studies are focused on Infnity 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.
Year of publication: |
2024
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Authors: | Zambrano, Bryan N. ; Espinoza Bazán, Fabián A. ; Novoa‑Hernández, Pavel |
Published in: |
Journal of innovation and entrepreneurship : JIE. - Heidelberg : SpringerOpen, ISSN 2192-5372, ZDB-ID 2679760-4. - Vol. 13.2024, Art.-No. 58, p. 1-24
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Subject: | Uncertainty | VUCA | Artifcial Intelligence | Business model development | Agile methodologies | Geschäftsmodell | Business model | Volatilität | Volatility | Künstliche Intelligenz | Artificial intelligence |
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