As technology becomes ever-present in daily routines, the impact of technostress (TS) extends beyond the workplace, calling for a broader investigation of the construct. This study was aimed at developing a scale to measure TS in everyday life. A 68-item pool capturing key TS dimensions (TS creators) identified through literature review was administered to a large sample of respondents from the general population (N = 602). A cross-validation approach employing exploratory and confirmatory factor analyses yielded a final 20-item scale assessing four main factors: techno-overload/invasion (T-OI), techno-complexity/uncertainty (T-CU), techno-insecurity/privacy (T-IP), and techno-relationships/isolation (T-RI). The scale, called Everyday Life TS Scale (ELTS), exhibited strong psychometric properties, including high reliability, convergent and discriminant validity, and invariance across gender and two age groups. Interestingly, latent mean differences emerged, with younger individuals and females reporting higher levels of T-OI, while older individuals and females reported higher levels of T-CU. Older respondents also showed higher levels of T-IP. Consistent with previous research, TS dimensions correlated positively with neuroticism and negatively with life satisfaction and well-being (psychological, social, and emotional). The ELTS uniquely contributes to the field by addressing TS in everyday contexts, beyond traditional workplace-focused measures. The ELTS offers a valuable tool for assessing TS in the general population beyond the workplace. Moreover, it can be a useful resource for facilitating a smoother integration of technology into daily life and promoting well-being.

Measuring Technostress in Everyday Life: Development and Validation of an Assessment Scale / Colledani, D.; Barbaranelli, C.; Robusto, E.; Anselmi, P.. - In: HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES. - ISSN 2578-1863. - 2025:1(2025). [10.1155/hbe2/5793644]

Measuring Technostress in Everyday Life: Development and Validation of an Assessment Scale

Colledani D.;Barbaranelli C.;Robusto E.;
2025

Abstract

As technology becomes ever-present in daily routines, the impact of technostress (TS) extends beyond the workplace, calling for a broader investigation of the construct. This study was aimed at developing a scale to measure TS in everyday life. A 68-item pool capturing key TS dimensions (TS creators) identified through literature review was administered to a large sample of respondents from the general population (N = 602). A cross-validation approach employing exploratory and confirmatory factor analyses yielded a final 20-item scale assessing four main factors: techno-overload/invasion (T-OI), techno-complexity/uncertainty (T-CU), techno-insecurity/privacy (T-IP), and techno-relationships/isolation (T-RI). The scale, called Everyday Life TS Scale (ELTS), exhibited strong psychometric properties, including high reliability, convergent and discriminant validity, and invariance across gender and two age groups. Interestingly, latent mean differences emerged, with younger individuals and females reporting higher levels of T-OI, while older individuals and females reported higher levels of T-CU. Older respondents also showed higher levels of T-IP. Consistent with previous research, TS dimensions correlated positively with neuroticism and negatively with life satisfaction and well-being (psychological, social, and emotional). The ELTS uniquely contributes to the field by addressing TS in everyday contexts, beyond traditional workplace-focused measures. The ELTS offers a valuable tool for assessing TS in the general population beyond the workplace. Moreover, it can be a useful resource for facilitating a smoother integration of technology into daily life and promoting well-being.
2025
cross-validation; life satisfaction; measurement invariance; neuroticism; technostress in everyday life; well-being
01 Pubblicazione su rivista::01a Articolo in rivista
Measuring Technostress in Everyday Life: Development and Validation of an Assessment Scale / Colledani, D.; Barbaranelli, C.; Robusto, E.; Anselmi, P.. - In: HUMAN BEHAVIOR AND EMERGING TECHNOLOGIES. - ISSN 2578-1863. - 2025:1(2025). [10.1155/hbe2/5793644]
File allegati a questo prodotto
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1748122
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 0
  • ???jsp.display-item.citation.isi??? 0
social impact