Strategic Intelligence: Leveraging Generative AI for Decision-Making and Innovation in Modern Organizations
Strategic Intelligence: Leveraging Generative AI for Decision-Making and Innovation in Modern Organizations
Author(s): Elena Gurgu, Sabyasachi Rath, Amarnath Padhi, Milena Ilic, Valentin Kuleto, Stefano Amodio, Melina Allegro, Vladimir M. Radivojević, Victor-Nicholas Gurgu, Luminița Viorica Pistol, Silvia-Rucsandra Rascu-Pistol, Raluca Ileana Zorzoliu, Marina Dragan, Radu Ioan Podgoreanu, Dragos Frăsineanu, Geanina Ionela Dragan Simbotin, Luciana Raluca BufalinoSubject(s): Social Sciences, Economy, Business Economy / Management, Sociology, Management and complex organizations, ICT Information and Communications Technologies
Published by: Editura Fundaţiei România de Mâine
Keywords: strategic intelligence; generative ai; decision-making; innovation; organizational performance; artificial intelligence adoption;
Summary/Abstract: In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative tool for strategic decision-making and innovation in modern organizations. This paper explores the role of strategic intelligence in leveraging generative AI to enhance organizational performance, optimize decision-making processes, and foster innovative capabilities. By integrating theoretical frameworks from strategic management, information systems, and AI research, the study examines how organizations can harness AI-driven insights to anticipate market trends, identify growth opportunities, and maintain competitive advantage. The paper also discusses implementation challenges, ethical considerations, and best practices for adopting generative AI in organizational contexts. Findings suggest that firms that effectively integrate generative AI into their strategic intelligence processes experience improved agility, enhanced innovation outcomes, and more informed decision-making.
Journal: Annals of Spiru Haret University. Economic Series
- Issue Year: 25/2025
- Issue No: 3
- Page Range: 117-143
- Page Count: 27
- Language: English
