Artificial Intelligence Adoption and Organizational Performance: Evidence from Emerging Economies

Abstract

Artificial Intelligence (AI) has emerged as one of the most influential technological developments shaping contemporary organizations. Its applications in data analytics, automation, customer relationship management, forecasting, decision support, supply-chain optimization, cybersecurity, and strategic planning have created new opportunities for organizations to improve productivity and competitiveness. The implications of AI adoption are particularly significant for emerging economies, where organizations frequently operate under resource constraints, institutional uncertainty, infrastructure limitations, and rapidly changing market conditions. This scholarly article examines the relationship between AI adoption and organizational performance in emerging economies by integrating insights from artificial intelligence, digital transformation, organizational capability, and strategic management literature. The article argues that AI adoption does not automatically generate superior organizational performance; rather, performance improvements depend on organizational readiness, employee capabilities, data quality, managerial support, technological infrastructure, and effective governance. AI can contribute to organizational performance by improving operational efficiency, strengthening decision-making, enhancing innovation, reducing transaction costs, and enabling more responsive customer services. At the same time, organizations in emerging economies face challenges related to financial investment, digital skills, cyber security, data governance, resistance to technological change, and unequal access to advanced infrastructure. The article develops a conceptual perspective in which AI adoption functions as a strategic organizational capability whose effects on performance are strengthened by complementary human and organizational resources.