AI ADOPTION, WORK-WELLBEING, AND INNOVATIVE WORK BEHAVIOR: IS THERE A LINK? Cover Image

AI ADOPTION, WORK-WELLBEING, AND INNOVATIVE WORK BEHAVIOR: IS THERE A LINK?
AI ADOPTION, WORK-WELLBEING, AND INNOVATIVE WORK BEHAVIOR: IS THERE A LINK?

Author(s): Nemanja Berber, Dimitrije Gašić
Subject(s): Human Resources in Economy, ICT Information and Communications Technologies, Artificial Intelligence
Published by: Ekonomski fakultet, Univerzitet u Tuzli
Keywords: Artificial intelligence; Work well-being; Innovative work behavior; PLS SEM; Serbia;

Summary/Abstract: Artificial intelligence (AI) has become the new normal. It changed the way jobs are done, how decisions are made, and how information is used. Numerous studies have investigated the effects of AI, examining both its positive and negative aspects. Among the positive aspects, we observed an increase in productivity, enabling faster business operations and making operational and transactional activities more efficient. This allowed us to dedicate more time and effort to strategic and creative tasks. However, on the dark side of AI usually there is fear among employees, their resistance to the adoption of AI, and a lack of understanding of the concept. Prior research found that AI is related to different aspects of employees’ attitudes and behaviors, like engagement, well-being, and even innovative work behavior. Having in mind the abovementioned, this research aimed to investigate the relations between the adoption of AI (AIAD), work-wellbeing (WWB), and innovative work behavior (IWB). The methodology of the research included the implementation of the PLS SEM technique on a sample of 266 employees in the Republic of Serbia. The data were gathered in spring 2025 via an electronic questionnaire. The results pointed out that there are positive effects of AI on IWB, with a mediating role of WWB. Employees who adopt AI on a higher level express higher innovative work behavior when they feel higher work wellbeing. At the end, the paper offered theoretical and practical implications, and future directions for research.

  • Issue Year: 2025
  • Issue No: 1
  • Page Range: 318-331
  • Page Count: 14
  • Language: English
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