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HRM Strategies for Bridging the Digital Divide: Enhancing Digital Skills, Employee Performance, and Inclusion in Evolving Workplaces

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  • Ioannis Zervas

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Emmanouil Stiakakis

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

Abstract

This study explores how Human Resource Management (HRM) can help organizations to face the challenges of digital transformation, focusing on reducing digital inequalities and improving employee performance. As digital tools become more important in workplaces, many employees still experience digital exclusion, which affects not only their productivity but also their sense of fairness and inclusion, as well. To investigate these issues, quantitative research was conducted using a structured questionnaire distributed online to employees across EU-based companies. The data were analyzed through PLS-SEM, including IPMA and mediation analysis, to understand the relations between HRM practices, digital skills, and perceptions of organizational justice. The findings show that HRM strategies have a significant impact on bridging the digital divide, especially by promoting digital adaptability and supporting inclusive work environments. Inclusion was also found to mediate the relation between HRM and employee performance. This research offers practical suggestions, like using Key Performance Indicators (KPIs) to monitor digital participation and encouraging continuous learning. The study adds value by connecting digital empowerment with HRM policies in a way that supports both organizational efficiency and equality. Future research could focus on specific sectors or use longitudinal data to better capture how digital inclusion develops over time.

Suggested Citation

  • Ioannis Zervas & Emmanouil Stiakakis, 2025. "HRM Strategies for Bridging the Digital Divide: Enhancing Digital Skills, Employee Performance, and Inclusion in Evolving Workplaces," Administrative Sciences, MDPI, vol. 15(7), pages 1-35, July.
  • Handle: RePEc:gam:jadmsc:v:15:y:2025:i:7:p:267-:d:1697994
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