Work Performance through the Lens of Digital Human Resource Management

Authors

Nejc Bernik
University of Maribor, Faculty of Organizational Sciences
https://orcid.org/0009-0004-3707-6241

Synopsis

Based on contemporary scientific literature, this paper conceptualises work performance with particular emphasis on the distinctions between individual performance, work efficiency, and adaptive performance. Through a literature review approach, a conceptual delineation of these constructs is provided and situated within the framework of digital human resource management. The findings indicate that the digital work environment has a significant influence on work performance indicators, shapes the expectations placed on employees, and directs the development of their digital competencies. Work performance is increasingly closely associated with digital literacy, adaptive performance, and the ability to work effectively in teams. Digitally competent employees achieve better outcomes in digital work environments, with digital human resource management playing an important guiding role. Through structured training initiatives, digital human resource management systematically strengthens employees’ digital literacy, thereby contributing to higher individual and organisational performance in the contemporary digital environment.

Author Biography

Nejc Bernik, University of Maribor, Faculty of Organizational Sciences

Kranj, Slovenia. E-mail: nejc.bernik1@um.si

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Published

March 17, 2026

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Bernik, N. (2026). Work Performance through the Lens of Digital Human Resource Management. In P. Šprajc, D. Maletič, N. Petrović, I. Iztok, A. Škraba, D. Tomić, & A. Žnidaršič Mohorič (Eds.), & (Ed.), 45th International Conference on Organizational Science Development: Organization and the Longevity Society, Conference Proceedings (Vols. 45., pp. 15-26). University of Maribor Press. https://doi.org/10.18690/um.fov.3.2026.2