Objectives: Technostress is an emergent phenomenon related to the pervasive use of technology and is associated with the increased computerisation and digitalisation seen over recent decades. This cross-sectional observational study aims to investigate the impact that stress from the use of technologies (i.e. technostress) has on the productivity and life of an individual.
Study Design: Cross-sectional study.
Methods: Data were collected using a previously proposed and validated questionnaire. The questionnaire was translated into Italian and transformed into an online format with a Google Docs form. The questionnaire was then associated with a link and QR code (also available in paper format) and disseminated manually and through the use of e-mail and social networks, such as Facebook and Twitter.
Results: The study sample included 313 individuals, 54.6% of whom were women. The mean age of the sample participants was 34.7 years. The dependent variables were technstressors (i.e. techno-overload, techno-invasion, techno-complexity, techno-insecurity and techno-uncertainty), role stressors (i.e. role overload and role conflict) and productivity. In the multivariate analysis, techno-overload was significantly associated with female gender (β = 0.128; P = 0.018) and unemployment (β = -0.303; P < 0.001); techno-invasion was significantly associated with female gender (β = 0.098; P = 0.081) and degree-level education (β = 0.149; P = 0.008); techno-complexity was significantly associated with female gender (β = 0.107; P = 0.057) and being married (β = 0.113; P = 0.046); techno-uncertainty was significantly associated with unemployment (β = 0.337; P < 0.001); role overload was significantly associated with female gender (β = 0.160; P = 0.014) and productivity was significantly associated with degree-level education (β = 0.125; P = 0.057).
Conclusions: This observational study evaluated the phenomenon of both work-related and non-work-related technostress of 313 individuals aged between 16 and 65 years. The present study investigated the impact of five techno-stressors, two role stressors and productivity. The results indicate that different techno-stressors are significantly associated with female gender, degree-level education and unemployment. Further research in this field is required to better understand and clarify the epidemiology, clinical presentation and determinants of technostress.
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