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Pregled bibliografske jedinice broj: 1260386

Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment


Rožman, Maja; Oreški, Dijana; Tominc, Polona
Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment // Sustainability, 15 (2023), 6; 1-22 doi:10.3390/su15065019 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1260386 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment

Autori
Rožman, Maja ; Oreški, Dijana ; Tominc, Polona

Izvornik
Sustainability (2071-1050) 15 (2023), 6; 1-22

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
artificial intelligence ; leadership ; employee engagement ; company performance

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti



POVEZANOST RADA


Projekti:
HRZZ-UIP-2020-02-6312 - SIMON: Inteligentni sustav za automatsku selekciju algoritama strojnog učenja u društvenim znanostima (SIMON) (Oreški, Dijana, HRZZ - 2020-02) ( CroRIS)

Ustanove:
Fakultet organizacije i informatike, Varaždin

Profili:

Avatar Url Maja Rožman (autor)

Avatar Url Dijana Oreški (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

Rožman, Maja; Oreški, Dijana; Tominc, Polona
Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment // Sustainability, 15 (2023), 6; 1-22 doi:10.3390/su15065019 (međunarodna recenzija, članak, znanstveni)
Rožman, M., Oreški, D. & Tominc, P. (2023) Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment. Sustainability, 15 (6), 1-22 doi:10.3390/su15065019.
@article{article, author = {Ro\v{z}man, Maja and Ore\v{s}ki, Dijana and Tominc, Polona}, year = {2023}, pages = {1-22}, DOI = {10.3390/su15065019}, keywords = {artificial intelligence, leadership, employee engagement, company performance}, journal = {Sustainability}, doi = {10.3390/su15065019}, volume = {15}, number = {6}, issn = {2071-1050}, title = {Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment}, keyword = {artificial intelligence, leadership, employee engagement, company performance} }
@article{article, author = {Ro\v{z}man, Maja and Ore\v{s}ki, Dijana and Tominc, Polona}, year = {2023}, pages = {1-22}, DOI = {10.3390/su15065019}, keywords = {artificial intelligence, leadership, employee engagement, company performance}, journal = {Sustainability}, doi = {10.3390/su15065019}, volume = {15}, number = {6}, issn = {2071-1050}, title = {Artificial-Intelligence-Supported Reduction of Employees’ Workload to Increase the Company’s Performance in Today’s VUCA Environment}, keyword = {artificial intelligence, leadership, employee engagement, company performance} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • Social Science Citation Index (SSCI)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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