AI-enabled Decision Support Systems and Reciprocal Symmetry: Empowering Managers for Better Business Outcomes

Abstract

To empower managers and improve business outcomes in organizations, this paper explores the revolutionary potential of AI-enabled Decision Support Systems (DSS) combined with reciprocal symmetry. The study aims to investigate how integrating AI improves managerial skills, encourages cooperative decision-making through reciprocal symmetry, and spurs creativity and operational efficiency. The methodology includes a thorough analysis of secondary data sources and published literature on artificial Intelligence (AI) in reciprocal symmetry and decision assistance. To summarize the main conclusions and insights, scholarly articles, peer-reviewed journal articles, and pertinent reports were examined and evaluated. The main findings emphasize how Artificial Intelligence (AI) can improve managerial decision-making accuracy, promote cooperative cultures through reciprocal symmetry, and stimulate innovation and operational efficiency inside businesses. The report also outlines policy implications for ethical issues, data protection, and organizational preparedness for effective AI integration. In today's fast-paced business world, this study emphasizes how crucial it is to strategically use AI technology within a framework of mutually beneficial interactions to empower managers, promote innovation, and achieve sustainable success. The results provide insightful information that may be used to establish corporate plans and policies for using AI to improve business outcomes.