MANAGEMENT IN THE AGE OF ARTIFICIAL INTELLIGENCE

DOI: https://doi.org/10.5281/zenodo.21233033

Authors:

Dr. Isa Mishra, Dr. Piyali Chandra Khan, Dr. K Sanjay, Mrs Amarjeet Kaur, Suma K P, Dr. Priyanka Tyagi

Keywords:

Artificial intelligence‚ management‚ leadership‚ managerial decision making‚ digital transformation‚ organizational change‚ human-AI collaboration‚ data-driven policy and governance․

Abstract:

Abstract Artificial intelligence (AI) is one of the most defining forces in current management research and practice‚ determining how organizations plan‚ control‚ coordinate‚ monitor‚ and innovate․ The paper reviews management in the context of AI‚ with a focus on intelligence-augmented management systems rather than on the automation of certain work processes․ It explains how AI is affecting managerial decision making‚ leadership‚ operational control‚ knowledge work‚ innovation‚ risk governance‚ and the transformation of the workforce․ It draws upon academic literature and institutional reports to show that management is transitioning from customary management‚ characterized by hierarchies‚ to data-driven and hybrid human-AI management systems in organizations․ The review suggests that organizations can derive value from AI when it is well aligned with business processes and executive vision‚ there are investments in reskilling AI personnel‚ and data governance and evaluation metrics are employed․ Evidence of managerial adoption indicates that AI implementation may be impeded by data complexity‚ skills shortages‚ privacy and security concerns‚ model inaccuracies and explainability‚ and heterogeneous organizational capabilities․ It concludes that the future of management is neither to be found in total automation nor in the overthrow of machines by people․ It will be about bringing human capabilities and machine intelligence into a new balance of efficiency and ethics‚ of innovation and accountability‚ of automation and the exercise of human judgment․

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