Synergy in Economic & Business Management

The Artificial Intelligence (AI) revolution, driven by the acceleration of Generative AI and advanced Big Data analytics, has evolved from a mere technological innovation into a primary force reconstructing the global economic and business landscape. At the macroeconomic level, AI penetration is triggering massive market disruptions by automating traditional jobs, shifting labor skill demands, and restructuring global value chains. This phenomenon creates a profound economic paradox: while it accelerates unprecedented efficiency and productivity growth, it simultaneously widens the digital divide and challenges existing market regulatory frameworks.

In response to this disruption, business agility has shifted from a strategic advantage to an absolute prerequisite for survival. Modern enterprises are compelled to integrate AI into their core business models to decode shifting consumer behaviors in real-time, personalize customer experiences, and cultivate dynamic innovation ecosystems. Adaptive companies leverage AI to forecast market trends with high precision, whereas organizations slow to transition face the stark risk of obsolescence in an increasingly digitalized competitive arena.

At the organizational level, this revolution has given rise to algorithmic governance, where algorithms and AI assume central roles in strategic and operational decision-making. This implementation spans automated human resource management, predictive performance evaluations, and optimized financial capital allocation. However, reliance on code-based governance introduces critical challenges regarding ethics, algorithmic bias, transparency, and organizational justice. Therefore, this special issue aims to integrate economic, strategic, and managerial perspectives to explore how organizations can navigate the boundless potential of AI while mitigating its profound ethical and structural risks.