Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage

Hossain, Istiaque and Kasedullah, Mohammad and Iqbal, Farina and Rahman, Nur Nabi and Fateh, Akib and Shadhon, Abid Khan (2025) Adoption of Artificial Intelligence in business decision-making: An integrated framework for achieving competitive advantage. International Journal of Science and Research Archive, 15 (3). pp. 1712-1722. ISSN 2582-8185

This paper investigates the adoption of artificial intelligence (AI) in business decision-making and proposes an integrated framework aimed at leveraging AI capabilities to achieve sustainable competitive advantage. It explores how AI-driven analytics, predictive modeling, and explainable AI enhance decision accuracy, operational efficiency, and strategic agility across various business functions. The study also addresses challenges such as ethical considerations, data privacy, and the necessity of human oversight to ensure responsible AI integration. Ultimately, the framework provides actionable insights for organizations seeking to harness AI as a strategic asset in an increasingly digital and competitive landscape. In today's digital age; the rapid advancement of artificial intelligence (AI) is fundamentally reshaping the landscape of business decision-making; presenting both unprecedented opportunities and complex challenges for organizations seeking to maintain a competitive edge. Against this backdrop; this paper investigates the adoption of AI in business decision-making processes and proposes an integrated framework for leveraging AI to achieve sustainable competitive advantage.