Contrasts traditional and digital productivity models, highlighting the implications for human sustainability.
This study explores the structural transformation of work from the industrial model of Frederick Winslow Taylor to the contemporary digital knowledge economy, identifying a paradigm shift from physical to cognitive optimization. Drawing on survey data, observational insights, and interdisciplinary literature, the research contrasts the principles of Taylorism-centered on time study, motion efficiency, fatigue control, and standardization-with the emerging model of cyberism, characterized by flexibility, decentralization, and continuous, technology-mediated work practices. The findings reveal that while digital systems enhance productivity through rapid information processing, multitasking, and AI-supported decision-making, they simultaneously introduce significant multidimensional challenges. Reduced physical activity has increased sedentary health risks, while heightened cognitive demands contribute to mental fatigue and diminished deep work capacity. Emotional strain, burnout, and blurred work-life boundaries have intensified, alongside a decline in social interaction and cohesion. Although the digital paradigm delivers short-term efficiency and economic benefits, it raises concerns regarding long-term human sustainability. The significance of this study lies in its timely contribution to understanding the hidden human costs of digital transformation while offering a forward-looking framework for sustainable productivity. By bridging classical management theory with contemporary digital realities, it provides valuable insights for policymakers, educators, and organizational leaders to redesign work systems that are not only efficient but also human-centered. Through a comparative analysis of the industrial model, the digital model, and a proposed Sustainable Integrated Model, the study highlights the limitations of both traditional scientific management and contemporary digital optimization in addressing holistic human well-being. It proposes a Sustainable Post-Digital Management Framework that integrates productivity with physical engagement, cognitive regulation, emotional resilience, and social connectedness. The study concludes that the future of management lies in harmonizing technological advancement with human biological and psychological balance to ensure sustainable productivity in the evolving knowledge economy. Key words1. Motion Study: Recording and analysing a worker's movements to eliminate useless actions and streamline the process.2. Time Study: Using a stopwatch to determine the standard time required for a qualified worker to complete a specific task, establishing performance standards.
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Balagopal MK (2026) studied this question.
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