Artificial Intelligence and Intelligent Decision Support Systems in Strategic Decision-Making: Evidence from Global Corporate Case Studies

This study examines how artificial intelligence (AI) and intelligent decision support systems (IDSS) influence the quality of strategic decision-making by managers in large, complex corporations operating globally. Using a multi-case study approach, evidence is synthesized from major firms across logistics, retail, aerospace, finance, consumer goods, and energy. Findings indicate that AI/IDSS improve decision quality by accelerating analysis, expanding strategic option sets, strengthening forecasting and scenario evaluation, and increasing consistency and traceability in managerial choices. Documented outcomes include improved operational efficiency, reduced cycle times, stronger risk and compliance performance, and enhanced supply chain resilience. However, decision-quality gains depend on organizational enablers such as data governance, model risk management, transparency, change management, and clearly defined decision rights. Without these, risks such as automation bias, misaligned objectives, and model drift can degrade strategic outcomes. The paper proposes a governance-oriented framework to guide effective AI/IDSS adoption in strategic management.

کلیدواژه ها:

Artificial intelligence ، intelligent decision support systems ، strategic decision-making