Digital Twins and Organizational Performance: A Managerial Perspective
DOI:
https://doi.org/10.62802/amvjfp35Keywords:
digital twins, organizational performance, digital transformation, managerial strategy, predictive analytics, operational optimizationAbstract
Digital twin technology has emerged as a transformative tool enabling organizations to create real-time, data-driven virtual representations of physical assets, processes, and systems. While digital twins were initially developed for engineering and manufacturing optimization, their strategic implications for organizational performance are increasingly recognized. This paper examines digital twins and organizational performance from a managerial perspective, analyzing how real-time simulation, predictive analytics, and system-level integration contribute to operational efficiency, innovation capacity, risk mitigation, and strategic decision-making. By synthesizing literature across digital transformation, performance management, and cyber-physical systems, the study evaluates how digital twin adoption influences productivity, cost structures, and organizational agility. The findings suggest that digital twins function not merely as technological tools but as strategic enablers that reshape governance models, managerial capabilities, and competitive advantage in data-intensive industries.
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