The role of artificial intelligence in management decision making: A systematic review
Keywords:
Artificial Intelligence, Decision-making, Strategic Decision-making, Business Decision-makingAbstract
The aim of the paper was to explore the role of artificial intelligence in management decision making. The focus was to investigate how AI has been instrumental in assisting managers in various organizations make better decisions. The paper was a systematic review and a total of fifty-eight (58) papers were analyzed out of which fifty-three (53) were considered for the review. The respective papers were sourced from research databases such as JSTOR, Wiley, Taylor & Francis, Research Gate and Google scholar. In order to ensure consistency in papers reviewed, the keywords used for searching were “artificial intelligence”, “decision making”, “strategic decision making” and “business decision making”. The selection criteria also considered factors such as all the papers must have abstracts, clearly defined methodologies and findings. The exclusion criteria were therefore research papers that do not meet these requirements and are also not found in the research databases state. The current paper found that artificial intelligence has been predominantly used by managers for decision making in the last five years (2020 – 2025). In addition to this, the use of artificial intelligence also has some internal elements such as resistance to change by employees, lack of AI related skills by managers as well as non-existence data protection policies which impede the full deployment of artificial intelligence. It was found from the reviewed papers also that leadership, internal culture, organizational policies among others, are critical in the deployment of artificial intelligence for decision making among managers. The paper concludes that artificial intelligence should be continuously merged with human skills in order to derive the best out of its implementation.
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