Insights from a Bibliometric Review and Integrating Ambidextrous Strategies with Decision Support Systems

Abstract

Information technology has undergone significant advancements, becoming an integral component of modern business decision-making through decision support systems (DSS). DSS has evolved from simple computer-based tools to human-centered systems capable of dynamic adaptation. This study aims to analyze the trends, citation metrics, publication activities, and collaborative networks among researchers in DSS and strategic decision-making. Additionally, it seeks to identify research challenges and propose a theoretical framework to enhance DSS adoption in strategic decision-making. A bibliometric review methodology was employed to evaluate existing literature on DSS and strategic decision-making, examining publication trends, author contributions, and citation patterns. The analysis highlights leading research areas in DSS, identifies significant challenges in its implementation, and proposes strategies to promote the integration of DSS in strategic decision-making. The findings reveal the critical role of DSS in improving decision quality and fostering organizational resilience through ambidextrous strategies that balance exploitation and exploration. This paper provides valuable insights for academics and practitioners, emphasizing the importance of leveraging DSS tools to enhance strategic decision-making processes. The proposed theoretical framework contributes to advancing DSS applications, offering practical implications for improving organizational decision-making.