Harnessing Artificial Intelligence for Strategic Decision-Making in Volatile Economic Environments

This study investigates the role of artificial intelligence (AI) in enhancing strategic decision-making within volatile economic environments, focusing on the knowledge economy. Employing a mixed-methods approach, the research integrates a systematic literature review (SLR) with secondary data analysis from ۳۰۰ organizations across finance, manufacturing, retail, and healthcare sectors. Qualitative insights from the SLR identify three core themes: AI-enhanced organizational agility (۷۵% of studies), ethical and implementation challenges (۶۵% of studies), and knowledge economy integration (۷۰% of studies). Quantitative findings confirm these themes, revealing that organizations with advanced AI adoption achieve an average ۲۵% improvement in decision accuracy and a ۳۰% increase in operational resilience. However, ethical concerns such as algorithmic bias and privacy issues lead to a ۱۲-۱۸% reduction in perceived trustworthiness, reported by ۲۰% of analyzed organizations. The study extends dynamic capabilities and resource-based view theories by proposing a unified framework that integrates agility, ethical governance, and knowledge-driven alignment. Practically, it offers managerial guidance on AI deployment and ethical protocols, while advising policymakers on regulations to ensure equitable AI access, particularly for SMEs. The research positions AI as a critical strategic asset for navigating volatility while emphasizing risk mitigation.

کلیدواژه ها:

artificial intelligence ، strategic decision-making ، knowledge economy ، organizational agility ، Ethical AI