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All Journal Solo International Collaboration and Publication of Social Sciences and Humanities
Awad Mabrouk
Al-Raed College for Economic Sciences
Humanities Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Human Resouce Management in the Age of Artificial Intelligence: Concepts Tools and Steps Awad Mabrouk
Solo International Collaboration and Publication of Social Sciences and Humanities Vol. 3 No. 01 (2025): Solo International Collaboration and Publication of Social Sciences and Humani
Publisher : Walidem Institute and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61455/sicopus.v3i01.216

Abstract

Objective: This study examines the transformative role of Artificial Intelligence (AI) in enhancing Human Resource Management (HRM) processes and its contribution to improving organizational efficiency and employee experience. As organizations navigate an increasingly dynamic job market, the integration of AI offers opportunities for achieving sustainable success while addressing the demands of flexibility and innovation. The research aims to identify effective strategies for AI adoption in HRM, focusing on three key dimensions: personalization of employee experiences, security and privacy assurance, and adaptability to continuous technological advancements. Theoretical framework: Grounded in a theoretical framework that highlights the intersection of technology and strategic HRM, the study builds on a comprehensive literature review of recent advancements in AI applications within HRM. Literature Review: The literature underscores the potential of AI to streamline recruitment, talent management, and employee engagement processes, creating a more responsive and efficient HR ecosystem. Methods: A qualitative research method was employed, involving in-depth analyses of case studies and current HRM practices where AI has been integrated. Data were collected from organizational reports, interviews with HR professionals, and academic publications. Results: The findings reveal that AI adoption fosters a strategic advantage by seamlessly integrating technology into various HRM functions, resulting in improved decision-making, enhanced productivity, and higher employee satisfaction. Specifically, AI-driven tools enable HR departments to provide personalized support to employees, anticipate workforce needs, and optimize resource allocation. Implications: The implications of this research emphasize the necessity for organizations to adopt a holistic strategy for AI integration. This strategy should include substantial investments in technology infrastructure, upskilling HR professionals, and fostering an organizational culture that embraces technological innovation. These measures are essential for achieving competitive advantage and enhancing employee experiences in an era dominated by digital transformation. Novelty: The novelty of this study lies in its focus on the strategic vision required to fully integrate AI into HRM. Unlike previous research that often considers AI as a supplementary tool, this study asserts that AI is a foundational component for future business competitiveness. By framing AI as an essential enabler of strategic HRM, this research contributes to a deeper understanding of how technology can redefine organizational operations and create value.
Beyond the Numbers: Reimagining Human Performance Evaluation in the Age of Industry 5.0 Awad Mabrouk
Solo International Collaboration and Publication of Social Sciences and Humanities Vol. 4 No. 01 (2026): Solo International Collaboration and Publication of Social Sciences and Humani
Publisher : Walidem Institute and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61455/sicopus.v4i01.372

Abstract

Objective: This study aims to critically reimagine human performance evaluation in the emerging context of Industry 5.0, which emphasizes human-centricity, sustainability, and societal value over mere productivity metrics. Traditional evaluation systems—rooted in Industry 3.0 and 4.0—have prioritized efficiency, control, and standardized outputs. Theoretical framework: However, such frameworks often neglect employee well-being, creativity, and holistic growth. Drawing upon Human-Centered Design Theory and Socio-Technical Systems Theory, this research proposes a paradigm shift toward a more inclusive and developmental model of appraisal. Literature review: A comprehensive literature review reveals major limitations in conventional performance appraisal systems, including inherent bias, infrequent feedback, rigid ranking mechanisms, and a narrow focus on quantitative metrics. These shortcomings clash with the core values of Industry 5.0, where technology is meant to serve—not replace—human potential. The review further highlights emerging best practices that integrate empathy, personalization, and AI-enhanced feedback loops. Methods: This research adopts a qualitative methodology, including semi-structured interviews with HR professionals, organizational psychologists, and digital transformation leaders across diverse industries. Content analysis is applied to uncover themes and insights related to current challenges and future possibilities in performance evaluation. Results: Findings suggest that performance systems aligned with Industry 5.0 should prioritize continuous feedback, psychological safety, and individualized development pathways. Additionally, AI and data analytics are found to be powerful enablers for real-time insights, yet their implementation requires careful ethical consideration and transparency. The shift also demands a redefinition of HR competencies to balance technological fluency with emotional intelligence. Implications: The study's implications are significant for organizational design, talent management, and leadership development. By moving from a "control and correct" approach to an "empower and grow" model, organizations can cultivate more agile, innovative, and resilient workforces. Novelty: The novelty of this research lies in its integration of human-centered theory with digital capabilities to offer a practical and future-ready framework for performance evaluation.
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