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International Journal of Modern Computer Science and IT Innovations

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Hyperautomation as a Socio-Technical Paradigm: Integrating Robotic Process Automation, Artificial Intelligence, and Workforce Analytics for the Future Digital Enterprise

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Dr. Elena Marković 1 ,
4 University of Belgrade, Faculty of Organizational Sciences, Serbia

Abstract

Hyperautomation has emerged as one of the most comprehensive and transformative paradigms shaping contemporary digital enterprises. Unlike earlier waves of automation that focused on task-level efficiency or isolated technological interventions, hyperautomation represents a deeply integrative socio-technical approach that combines robotic process automation, artificial intelligence, machine learning, process mining, advanced analytics, and human-centered workforce strategies. This article develops a comprehensive theoretical and analytical examination of hyperautomation as an evolution of digital automation, grounded strictly in the provided scholarly and professional literature. The study positions hyperautomation not merely as a technological trend but as a structural reconfiguration of organizational processes, decision-making logics, and human–machine collaboration models. Drawing upon foundational work on robotic process automation, neural networks, optical character recognition, Industry 4.0, digital twins, big data analytics, blockchain, and workforce analytics, the article elaborates how hyperautomation redefines operational efficiency, organizational agility, and strategic value creation. Particular emphasis is placed on the interaction between intelligent automation technologies and the future digital workforce, highlighting both opportunities and tensions. The methodology adopts an integrative conceptual research design, synthesizing insights across information systems, management science, industrial engineering, and socio-economic perspectives. The findings reveal that hyperautomation functions as a meta-capability, enabling organizations to continuously discover, automate, optimize, and govern processes at scale while embedding learning and adaptability into their operational fabric. The discussion critically examines limitations related to governance, ethical considerations, workforce displacement anxieties, and infrastructural dependencies, while also outlining future research trajectories in areas such as human-centered hyperautomation, regulatory frameworks, and sector-specific applications. The article concludes that hyperautomation represents a decisive shift from automation as a tool to automation as an organizational capability, with profound implications for enterprises navigating the complexities of digital transformation in the Fourth Industrial Revolution and beyond.

Keywords

Hyperautomation, Robotic Process Automation, Artificial Intelligence, Digital Workforce

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