The participation of artificial intelligence in managerial decision-making
DOI:
https://doi.org/10.5281/zenodo.14816449Keywords:
Artificial Intelligence, Management Decision Making, Business InnovationAbstract
The present study examines the involvement of AI in business management through a literature review that addresses its application in areas such as managerial decision-making, B2B marketing, human resource management, and innovation. The methodology was based on a systematic review following PRISMA guidelines and analysing related studies published between 2021 and 2024 on the application of AI in business management. The findings highlight that AI improves data collection and analysis, facilitating the automation of routine tasks and allowing the detection of complex patterns, in addition to contributing to resilience in supply chains and performance in highly competitive markets. It was also identified that advanced techniques such as fuzzy logic, big data and agent-based systems have an impact on the creation of organizational knowledge and the personalization of strategies. However, the results also show significant limitations, such as the need for human intervention in unpredictable contexts and ethical challenges related to transparency and accountability in decision-making. Also, the importance of adequate technological infrastructure and trained personnel to guarantee the success of these implementations is highlighted. Finally, it is proposed that future research be oriented to the development of preventive mechanisms and a more in-depth analysis of the interaction between ethical, technological and human factors, with the aim of promoting a sustainable and effective integration of AI in the business environment.
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