LAPSE:2023.30604
Published Article
LAPSE:2023.30604
Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland
April 14, 2023
The use of artificial intelligence (AI) in companies is advancing rapidly. Consequently, multidisciplinary research on AI in business has developed dramatically during the last decade, moving from the focus on technological objectives towards an interest in human users’ perspective. In this article, we investigate the notion of employees’ trust in AI at the workplace (in the company), following a human-centered approach that considers AI integration in business from the employees’ perspective, taking into account the elements that facilitate human trust in AI. While employees’ trust in AI at the workplace seems critical, so far, few studies have systematically investigated its determinants. Therefore, this study is an attempt to fill the existing research gap. The research objective of the article is to examine links between employees’ trust in AI in the company and three other latent variables (general trust in technology, intra-organizational trust, and individual competence trust). A quantitative study conducted on a sample of 428 employees from companies of the energy and chemical industries in Poland allowed the hypotheses to be verified. The hypotheses were tested using structural equation modeling (SEM). The results indicate the existence of a positive relationship between general trust in technology and employees’ trust in AI in the company as well as between intra-organizational trust and employees’ trust in AI in the company in the surveyed firms.
Keywords
Artificial Intelligence, chemical industry, employees, energy industry, trust
Suggested Citation
Łapińska J, Escher I, Górka J, Sudolska A, Brzustewicz P. Employees’ Trust in Artificial Intelligence in Companies: The Case of Energy and Chemical Industries in Poland. (2023). LAPSE:2023.30604
Author Affiliations
Łapińska J: Department of Organizational Behavior and Marketing, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland [ORCID]
Escher I: Department of Organizational Behavior and Marketing, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland [ORCID]
Górka J: Department of Econometrics and Statistics, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland [ORCID]
Sudolska A: Department of Enterprise Management, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland
Brzustewicz P: Department of Organizational Behavior and Marketing, Faculty of Economic Sciences and Management, Nicolaus Copernicus University, 87-100 Toruń, Poland [ORCID]
Journal Name
Energies
Volume
14
Issue
7
First Page
1942
Year
2021
Publication Date
2021-04-01
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14071942, Publication Type: Journal Article
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LAPSE:2023.30604
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doi:10.3390/en14071942
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Apr 14, 2023
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