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Cited by 124AI and HR TechnologiesImpact of AI and Big Data on Business and SocietyCorporate Management and Leadership

Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment

Open access
Rožman, Maja, Oreški, Dijana, Tominc, Polona·2023·Sustainability
DOI 10.3390/su15065019
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Abstract

This paper aims to develop a multidimensional model of AI-supported employee workload reduction to increase company performance in today’s VUCA environment. Multidimensional constructs of the model include several aspects of artificial intelligence related to human resource management: AI-supported organizational culture, AI-supported leadership, AI-supported appropriate training and development of employees, employees’ perceived reduction of their workload by AI, employee engagement, and company’s performance. The main survey involved 317 medium-sized and large Slovenian companies. Structural equation modeling was used to test the hypotheses. The results show that three multidimensional constructs (AI-supported organizational culture, AI-supported leadership, and AI-supported appropriate training and development of employees) have a statistically significant positive effect on employees’ perceived reduction of their workload by AI. In addition, employees’ perceived reduced workload by AI has a statistically significant positive effect on employee engagement. The results show that employee engagement has a statistically significant positive effect on company performance. The concept of engagement is based on the fact that the development and growth of the company cannot be achieved by increasing the number of employees or by adding capital; the added value comes primarily from increased productivity, which is a result of the innovative ability of employees and their work engagement, which improve the company’s performance. The results will significantly contribute to creating new views in the field of artificial intelligence and adopting important decisions in creating working conditions for employees in today’s rapidly changing work environment.

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  • AI can help manage administrative tasks and staffing logistics, ensuring that resources are deployed efficiently to maintain safe workloads and reduce burnout.

    “Beyond direct patient care, AI can also help manage administrative tasks and staffing logistics, ensuring that resources are deployed efficiently to maintain safe workloads and reduce burnout (18, 19).”

    From Artificial intelligence in nursing: an integrative review of clinical and operational impacts (2025) · cites this paper as [18]

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Research works printed but not linked: 9

  1. Akkaya, B., Guah, M.W., Jermsittiparsert, K., Bulinska-Stangrecka, H., Kaya, Y., Eds.; Emerald Publishing Limited: Bingley, UK, 2022; pp. 13-26.
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  3. Akkaya, B., Guah, M.W., Jermsittiparsert, K., Bulinska-Stangrecka, H., Kaya, Y., Eds.; Emerald Publishing Limited: Bingley, UK, 2022; pp. 27-38.
  4. Ransbotham, S.; Candelon, F.; Kiron, D.; Lafountain, B.; Khodabandeh, S. The Cultural Benefits of Artificial Intelligence in the Enterprise; MIT Sloan Management Review and Boston Consulting Group: Cambridge, MA, USA, 2021.
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Authors
Rožman, M., Oreški, D., & Tominc, P.
Affiliations
  • University of Maribor (SI)
  • University of Zagreb (HR)
Corresponding author
Rožman, Maja
ORCID
Venue
Sustainability
Publisher
MDPI AG
Published
2023-03-12
Volume
15
Issue
6
Pages
5019
ISSN
2071-1050 (ISSN-L)
DOI
10.3390/su15065019
OpenAlex
W4324057943
Cited by
124
References
60
Citations by year
2026: 38 · 2025: 43 · 2024: 24 · 2023: 19
FWCI
35.87
Type
journal article
Language
en
Open access
Licence
Locations
  • Sustainability (publishedVersion, cc-by)
  • University of Maribor digital library (University of Maribor) (submittedVersion, cc-by)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Slovenian Research Agency (P5–0023, UIP-2020-02-6312)
  • Croatian Science Foundation (P5–0023, UIP-2020-02-6312)
Topics
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Corporate Management and Leadership
Keywords
artificial intelligence in human resource management, employee workload reduction, VUCA environment, organizational culture, employee training, employee engagement, firm performance, Slovenian companies

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