Do perceived benefits influence scholars' intention to use generative artificial intelligence?

Regina Lenart, Łukasz Sułkowski, Dominika Kaczorowska-Spychalska, Grzegorz Mazurek, Nina Kotula and Vincent Cassar

Central European Management Journal, 2026, vol. 34, issue 1, 64-88

Abstract: PurposeThis article aims at exploring the importance of perceived benefits in scholars' decision to use generative artificial intelligence (GAI), as well as at developing and testing a theoretical multifaceted model of scholars' intention to use GAI.Design/methodology/approachThe article uses a mixed deductive-inductive approach. The theoretical multifaceted model of scholars' intention to employ GAI was tested based on structural equation modelling using partial least squares (PLS-SEM) and a survey conducted among 471 scientists.FindingsThe results show that the benefits perceived by scholars in the fields of teaching and research have the strongest influence on their decision to employ GAI. On the other hand, perceived benefits in the administrative field are not of importance in scholars' intention to use GAI.Research limitations/implicationsThe research conducted was limited in context (universities in Poland) and did not take into account a longitudinal perspective, which could have led to the omission of changes in researchers' intentions regarding the use of GAI as a result of more intensive use of those tools in scientific work (those intentions are subject to change over time).Originality/valueThe presented research constitutes a significant contribution to the literature on the use of GAI in the academic environment. Relative to previous research, our findings offer a new conceptual framework that illustrates the perceived benefits of GAI in shaping researchers' intentions to use it, taking into account the following three key areas of academic activity: research, teaching and administrative tasks. The findings respond to the need for an in-depth analysis. They also include an analysis of the impact of socio-demographic factors and personality traits on the intention to use GAI, which constitutes an innovative contribution to the existing scientific achievements in this field.

Keywords: Generative artificial intelligence (GAI); Higher education institutions (HEI); Academic work; Multifaceted model of scholars' intention use GAI (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/cemj/article/34/1/64/13557 ... e-scholars-intention (text/html)
https://www.emerald.com/cemj/article-pdf/34/1/64/1 ... j-08-2025-0254en.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:cemjpp:cemj-08-2025-0254

DOI: 10.1108/CEMJ-08-2025-0254

Access Statistics for this article

Central European Management Journal is currently edited by Associate Professor Pawel Korzynski

More articles in Central European Management Journal from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().