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Naslov:Artificial-intelligence-supported reduction of employees’ workload to increase the company’s performance in today’s VUCA environment
Avtorji:ID Rožman, Maja (Avtor)
ID Oreški, Dijana (Avtor)
ID Tominc, Polona (Avtor)
Datoteke:.pdf Rozman-2023-Artificial-Intelligence-Supported.pdf (716,50 KB)
MD5: 4EB09D19324B5647ECB22F8F89EADA0E
 
URL https://doi.org/10.3390/su15065019
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:EPF - Ekonomsko-poslovna fakulteta
Opis: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.
Ključne besede:artificial intelligence, leadership, employee engagement, company performance
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:15.02.2023
Datum sprejetja članka:10.03.2023
Datum objave:12.03.2023
Založnik:MDPI
Leto izida:2023
Št. strani:Str. 1-21
Številčenje:Letn. 15, št. 6, št. članka 5019
PID:20.500.12556/DKUM-86981-1d056245-bb09-d759-1483-01af174e21c4 Novo okno
UDK:331.1
COBISS.SI-ID:145075715 Novo okno
DOI:10.3390/su15065019 Novo okno
ISSN pri članku:2071-1050
Datum objave v DKUM:02.02.2024
Število ogledov:338
Število prenosov:197
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Sustainability
Skrajšan naslov:Sustainability
Založnik:MDPI
ISSN:2071-1050
COBISS.SI-ID:5324897 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P5-0023
Naslov:Podjetništvo za inovativno družbo

Financer:HRZZ - Croatian Science Foundation
Številka projekta:UIP-2020-02-6312
Naslov:SIMON: Intelligent system for automatic selection of machine learning algorithms in social sciences

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:12.03.2023

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:umetna inteligenca, vodenje, zavzetost zaposlenih, uspešnost podjetja


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