Effectiveness of Adaptation of Artificial Intelligence on Management Domains in Industries: Bibliometric Analysis

Abstract

The rapid development of AI has the potential to overturn traditional management strategies by automating procedures, enhancing decision-making abilities, and optimising resource allocation. This review synthesises research on the use of AI to the management disciplines of operations, supply chain, human resources, and marketing. The benefits and drawbacks of utilising AI in various managerial settings are examined throughout the study. Better customer service, less costs, quicker, more reliable decisions, and more efficient workflows are just some of the benefits. Challenges like as data privacy concerns, ethical considerations, integration complexity, and the need for human-machine cooperation are all brought up. In addition, the report highlights the real-world applications of AI across industries like manufacturing, healthcare, finance, retail, and transportation. The study provides insight into the impact that algorithms and methods from the field of artificial intelligence (AI), such as machine learning, NLP, and computer vision, have on management processes and outcomes. This literature review analyses past research to provide a comprehensive understanding of the value of AI adaptation in managerial domains. Organisational readiness, talent acquisition and upskilling, ongoing monitoring and assessment, and other attractive areas for further study are only some of the strategies recommended. The results of this research indicate that firms who apply AI to the managerial domains stand to earn a significant performance and competitive advantage. However, its implementation is fraught with challenges and constraints that should be carefully considered. To fully reap the benefits of AI in management as it continues to advance, firms must acknowledge its promise and seek to address ethical, social, and technical challenges.