• Energy Research

The academic interest in smart working, a form of flexible work characterized by the use of technology to conduct one’s work, has dramatically increased over recent years, especially during the COVID-19 pandemic. Building on the job demands–resources (JD-R) model, in this study we investigate whether smart working affects the longitudinal association between perceived work characteristics, such as workload and social support (SS), and workers’ health and well-being, in terms of exhaustion. Overall, 185 workers completed a self-report questionnaire at two time points (four-month time-lag) during the COVID-19 outbreak. The results from moderated multiple regression analysis partially support our predictions. The longitudinal association between workload and exhaustion was positive—although marginally significant—for smart workers, but nonsignificant for in-person workers. Contrarily, the longitudinal association between SS and exhaustion was negative for in-person workers, but nonsignificant for smart workers. Overall, this study suggests that, to support employees’ health and productivity, work characteristics—both physical and psychosocial—should fit the new way of working as well as remote workers’ specific needs and expectations. Hence, to promote sustainable work, interventions should be aimed at helping smart workers to manage their workload effectively, as well as reducing professional and social isolation.

The academic interest in smart working, a form of flexible work characterized by the use of technology to conduct one’s work, has dramatically increased over recent years, especially during the COVID-19 pandemic. Building on the job demands–resources (JD-R) model, in this study we investigate whether smart working affects the longitudinal association between perceived work characteristics, such as workload and social support (SS), and workers’ health and well-being, in terms of exhaustion. Overall, 185 workers completed a self-report questionnaire at two time points (four-month time-lag) during the COVID-19 outbreak. The results from moderated multiple regression analysis partially support our predictions. The longitudinal association between workload and exhaustion was positive—although marginally significant—for smart workers, but nonsignificant for in-person workers. Contrarily, the longitudinal association between SS and exhaustion was negative for in-person workers, but nonsignificant for smart workers. Overall, this study suggests that, to support employees’ health and productivity, work characteristics—both physical and psychosocial—should fit the new way of working as well as remote workers’ specific needs and expectations. Hence, to promote sustainable work, interventions should be aimed at helping smart workers to manage their workload effectively, as well as reducing professional and social isolation.

The perceived risk of being infected at work (PRIW) with COVID-19 represents a potential risk factor for workers during the current COVID-19 pandemic. In line with the job demands–resources (JD-R) model in the context of safety at work, in this longitudinal study we propose that PRIW can be conceptualized as a job demand (JD), whereas communication (i.e., the exchange of good-quality information across team members) can be conceived of as a job resource (JR). Accordingly, we hypothesize that PRIW at Time 1 (T1) would positively predict psychophysical strain at Time 2 (i.e., four months later), and that communication at T1 would negatively predict psychophysical strain at T2. Overall, 297 workers participated in the study. The hypothesized relationships were tested using multiple regression analysis. The results support our predictions: PRIW positively predicted psychophysical strain over time, whereas communication negatively predicted psychophysical strain over time. The results did not change after controlling for age, gender, and type of contract. Overall, this study suggests that PRIW and communication might be conceived of as a risk and a protective factor for work-related stress, respectively. Hence, to promote more sustainable working conditions, interventions should help organizations to promote an adequate balance between JDs and JRs related to COVID-19.

The perceived risk of being infected at work (PRIW) with COVID-19 represents a potential risk factor for workers during the current COVID-19 pandemic. In line with the job demands–resources (JD-R) model in the context of safety at work, in this longitudinal study we propose that PRIW can be conceptualized as a job demand (JD), whereas communication (i.e., the exchange of good-quality information across team members) can be conceived of as a job resource (JR). Accordingly, we hypothesize that PRIW at Time 1 (T1) would positively predict psychophysical strain at Time 2 (i.e., four months later), and that communication at T1 would negatively predict psychophysical strain at T2. Overall, 297 workers participated in the study. The hypothesized relationships were tested using multiple regression analysis. The results support our predictions: PRIW positively predicted psychophysical strain over time, whereas communication negatively predicted psychophysical strain over time. The results did not change after controlling for age, gender, and type of contract. Overall, this study suggests that PRIW and communication might be conceived of as a risk and a protective factor for work-related stress, respectively. Hence, to promote more sustainable working conditions, interventions should help organizations to promote an adequate balance between JDs and JRs related to COVID-19.

This study contributes to the validation of the Bergen Work Addiction Scale (BWAS) in the Italian context, with a focus on measurement invariance across gender and managerial status. The BWAS is a consolidated measure of work addiction (WA) anchored in general addiction theory that comprises seven items representing the core addiction components. Participants were 8419 bank workers (37.7% women, 12.9% managers) who completed a self-report questionnaire including the Italian version of the BWAS (BWAS-I) and the Dutch Work Addiction Scale, as well as measures of work engagement, perfectionism, workload, psycho-physical symptoms, work–family conflict, and job satisfaction. Results confirmed the single-factor structure of the BWAS-I. Partial scalar invariance held across gender and managerial status, meaning that most—but not all—item intercepts were equivalent across different populations. Furthermore, the BWAS-I showed adequate convergent, discriminant, criterion-related, and incremental validity. This study showed that the BWAS-I is a valuable instrument that can be used by researchers and practitioners to assess WA in the Italian context.

This study contributes to the validation of the Bergen Work Addiction Scale (BWAS) in the Italian context, with a focus on measurement invariance across gender and managerial status. The BWAS is a consolidated measure of work addiction (WA) anchored in general addiction theory that comprises seven items representing the core addiction components. Participants were 8419 bank workers (37.7% women, 12.9% managers) who completed a self-report questionnaire including the Italian version of the BWAS (BWAS-I) and the Dutch Work Addiction Scale, as well as measures of work engagement, perfectionism, workload, psycho-physical symptoms, work–family conflict, and job satisfaction. Results confirmed the single-factor structure of the BWAS-I. Partial scalar invariance held across gender and managerial status, meaning that most—but not all—item intercepts were equivalent across different populations. Furthermore, the BWAS-I showed adequate convergent, discriminant, criterion-related, and incremental validity. This study showed that the BWAS-I is a valuable instrument that can be used by researchers and practitioners to assess WA in the Italian context.