Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2787
Title: Navigating AI-induced workplace transformation: An econometric study of layoff anxiety
Authors: Ivančević, Sonja 
Kićanović, Ana
Drinjak, Nikola
Keywords: turnover intention;artificial intelligence;workplace transformation;econometric modelling
Issue Date: Sep-2024
Abstract: The fast development and integration of (AI) artificial intelligence within the workplace led to significant transformations and disruptions across industries. Alongside its promises of improved eficiency and innovation, AI adoption has raised concerns regarding potential job displacement and workforce anxiety. One of the industries which has especially been transformed by AI is the IT industry. This study has the goal of assessing the IT employee's layoff anxiety in the two-year and ten-year period, taking into account ther attitudes and perceptions of how AI changes and complements their skillS. An econometric approach will be employed to model how perceptions of the transformational power of AI impact workforce anxiety. The results indicate that workforce anxiety can be successfully modeled and that the perceptiou of one's skills being less valuable is a significant predictor. It is hoped tnat the research findings will shed light on the complex nature of layoff anxiey in the context of AI-driven skill transformations, providing valuable insiguts
for IT employees, human resource managers, organisational leaders and stakeholders.
URI: https://rfos.fon.bg.ac.rs/handle/123456789/2787
ISSN: 1849-5141
Appears in Collections:Radovi istraživača / Researchers’ publications

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