Abstract
As artificial intelligence (AI) and work automation become increasingly integrated into modern workplaces, understanding employees’ attitudes toward these changes is vital. This study examines how perceived competencies – both linguistic/technical (LC) and non-linguistic (NLC) – relate to Polish workers’ attitudes toward AI and automation. Using data from a representative sample of 1,067 employed adults, structural equation modeling (SEM) revealed that LC significantly predicted more positive attitudes, while NLC showed no significant effect. Multi-group analysis indicated gender differences in the strength of these associations. However, measurement invariance was not confirmed, suggesting different interpretations of competence items across gender. These findings underscore the importance of considering both competence profiles and sociocultural contexts when assessing workers' responses to technological change.
Paper Type
Full Paper
DOI
10.62036/ISD.2025.115
Technological Change Through the Lens of Competence: Exploring Gender Differences in Attitudes Toward AI and Automation
As artificial intelligence (AI) and work automation become increasingly integrated into modern workplaces, understanding employees’ attitudes toward these changes is vital. This study examines how perceived competencies – both linguistic/technical (LC) and non-linguistic (NLC) – relate to Polish workers’ attitudes toward AI and automation. Using data from a representative sample of 1,067 employed adults, structural equation modeling (SEM) revealed that LC significantly predicted more positive attitudes, while NLC showed no significant effect. Multi-group analysis indicated gender differences in the strength of these associations. However, measurement invariance was not confirmed, suggesting different interpretations of competence items across gender. These findings underscore the importance of considering both competence profiles and sociocultural contexts when assessing workers' responses to technological change.
Recommended Citation
Sączewska-Piotrowska, A. & Skórska, A. (2025). Technological Change Through the Lens of Competence: Exploring Gender Differences in Attitudes Toward AI and AutomationIn I. Luković, S. Bjeladinović, B. Delibašić, D. Barać, N. Iivari, E. Insfran, M. Lang, H. Linger, & C. Schneider (Eds.), Empowering the Interdisciplinary Role of ISD in Addressing Contemporary Issues in Digital Transformation: How Data Science and Generative AI Contributes to ISD (ISD2025 Proceedings). Belgrade, Serbia: University of Gdańsk, Department of Business Informatics & University of Belgrade, Faculty of Organizational Sciences. ISBN: 978-83-972632-1-5. https://doi.org/10.62036/ISD.2025.115