Adaptive AI-Powered Decision Support Systems for Strategic Business Management in Uncertain Markets

Abstract

In the modern uncertain business environment, organizations are experiencing constant disruption due to changes in technology, economic change and shifting consumer behavior. Such high rates of change evade the response of the traditional complexion of models of decision-making, usually slow, linear and reliant on intuition. This paper examines how Decision Support Systems (DSS) driven by Artificial Intelligence can be adaptive and have a transformative effect in the uncertain environment as a strategic decision tool. Based on the analysis of more than 20 recent academic publications, it offers the systematic overview of the effects of AI-DSS on the speed of decision-making, the reduction of risk, and resource forecasting in a wide range of industries and regions of the world. The A.D.A.P.T. Framework is a five-phase implementation model that has been introduced in the paper, and which will guide any organization to go through the assessment, design, alignment, piloting, and transformation. Comparative analysis brings to the fore unique advantages of AI-DSS in both developed and emerging markets, as well as identifying the limitations, including issues relating to trust, data quality and infrastructure shortages as well. A set of practical recommendations is provided to business leaders, policymakers, and developers to use it responsibly and make it scalable.