ArticleFrontiers in psychology2023
A new scale to assess technostress levels in an Italian banking context: the Work-Related Technostress Questionnaire.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A SEM-ANN analysis to examine impact of AI overreliance through a social cognitive lens: the roles of dependency, FOMO, addiction, and anxiety.BMC psychology · 2026Article
- Digital wellbeing experience in the workplace: development and validation of the Work-Related Human Computer Interaction Questionnaire.Frontiers in public health · 2026Article
- Unexplored strains and job satisfaction for individuals with visual and auditory impairments: an Italian study.BMC public health · 2025Article
- The Impact of Technostress Generated by Artificial Intelligence on the Quality of Life: The Mediating Role of Positive and Negative Affect.Behavioral sciences (Basel, Switzerland) · 2025Article
- Techno-strain and techno-insecurity are associated with poor mental well-being in specific age and occupation groups.Journal of occupational health · 2025Article
- Exploring the Moderating Effect of Musculoskeletal Pain on Technostress-Induced Burnout: A Cross-Sectional Study of Bank Employees.Healthcare (Basel, Switzerland) · 2024Article
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3 authors.
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Abstract
Introduction: Technostress (TS) represents a multidimensional phenomenon closely related to the pervasive use of information and communication technologies. This study aimed to validate a new psychometric tool for assessing TS in an Italian banking context, the Work-Related Technostress - Questionnaire (WRT-Q). Secondly, we analyzed the role of gender and age in modulating TS manifestations. Methods: A sample of 2,586 bank employees (51% females; age: 47.26 ± 8.6) underwent an online survey. Reliability, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), ANCOVA, independent sample Results: The WRT-Q consisted of 17 items and a four-factor structure, supported by the following CFA indices: Comparative Fit Index (CFI) = 0.985; Incremental Fit Index (IFI) = 0.985; Goodness of Fit (GFI) = 0.988; Root Mean Squared Error of Approximation (RMSEA) = 0.071; and SRMR = 0.062. A significant difference in TS levels between age classes emerged ( Discussion: The WRT-Q is a new instrument to measure TS in the workplace, it can contribute to highlighting adverse outcomes in individuals due to a dysfunctional interaction with ICT.
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