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All Journal Journal of Innovation in Business and Economics
Eka Askafi
Master of Management Department, Postgraduate Program, Universitas Islam Kadiri, Indonesia
Economics, Econometrics & Finance

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Employee performance optimization through Smart Workload Framework: Full-Time Equivalent based analysis Eka Askafi; Nisa Mutiara; Fahmi Aquinas
Journal of Innovation in Business and Economics Vol. 9 No. 01 (2025): Journal of Innovation in Business and Economics
Publisher : Faculty of Economics and Business, University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jibe.v9i01.38655

Abstract

This study employs Full-Time Equivalent (FTE) to examine the workload of two departments of Bank BRI. The results show that, in general, there are still overloaded and underloaded employees, indicating that the workload is inefficient. Furthermore, this study examines the transformational potential of technological solutions in overcoming these difficulties by analyzing 279 papers obtained from Scopus metadata. This investigation reveals a three-dimensional framework of technological sophistication, data-driven accuracy, and efficiency-oriented management. Technological intelligence emphasizes integrating techniques such as artificial intelligence (AI) and robotic process automation (RPA) to facilitate real-time monitoring, predictive analytics, and process automation, efficiently addressing workload disparities. Furthermore, data-driven accuracy underscores the critical function of predictive models and analytics in improving resource allocation and workforce planning, supported by empirical data from industries such as healthcare and education. Meanwhile, efficiency-focused management prioritizes process optimization, leveraging automation, and collaborative efforts to increase productivity and achieve task balance.
Co-Authors Fahmi Aquinas Nisa Mutiara