Traditional decision making versus artificial intelligence aided decision making in management of firms : A narrative overview

Abstract: There has been a lot of talk about possible ways that Artificial Intelligence (AI) will disrupt the workforce by automating some jobs. In the same vein, literature has also indicated that a lot of studies have been conducted on artificial intelligence systems from different perspectives. However, there are still some research opportunities that could be pursued to further knowledge in the area as artificial intelligence continues to evolve with technological advances. Consequently, this conceptual paper aimed at advancing understanding of artificial intelligence aided decision making versus traditional decision making in the management of firms in the era of Big Data. A general overview of the concept of management practices involving decision making was done, followed by traditional decision making styles. Then, this was followed by an overview of artificial intelligence aided decision making processes. The differences between these two decision making processes were highlighted in the discussion. Methodology: Using a desk-review, this study analysed existing data from secondary sources including peer-reviewed journal articles, textbooks and online blogs. In this paper, the role of the literature review was to unravel the components of the decision making process by management in firms. Results: Findings indicated that despite artificial intelligence aided decision making having many merits, some managers did not trust it due to some of its demerits and challenges that go with its adoption. As a result, they were reluctant to employ it. Conclusion/- and Recommendations: The paper recommends further research on how AI could be used in other management practices which are outside decision making