The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice

Abstract

The main goal of this research was to investigate the psychosocial aspects that influence the acceptance of innovative technology in maritime transport and its impact on employees’ work-related wellbeing and absenteeism. In particular, this study focused on a device that had been introduced to sailors working in water public transportation in Venice. The theoretical framework included two integrated models: the TAM model, concerning acceptance of the technology, and the JD-R model, related to workers’ well-being. A two-wave study was conducted; at T1, a self-report questionnaire was administered to 122 sailors. Four months after its first administration (T2), objective data related to days of absenteeism were collected. The study showed that the perceived ease of use and the usefulness of the device influenced the workers’ intentions to use the technology and their motivational processes of work engagement, which was also related to social support. Work engagement impacted on work satisfaction and predicted the level of absenteeism (measured at Time 2). The implementation of a new technology may fail if transportation companies do not consider psychosocial factors that assist in the acceptance of such technology and promote the involvement of workers in the technological system.

Willingness to Use Mobile Health Devices in the Post–COVID-19 Era: Nationwide Cross-sectional Study in China

“…Moreover, our study revealed that participants with high social support and good neighbor relations had a higher willingness to use mHealth devices. This finding verifies the previous viewpoint that social support is an important factor in promoting the adoption and acceptance of new technologies [ 57 ]. Having positive social support and a good social network are valuable coping resources for maintaining a healthier lifestyle [ 58 ].…”

Perceived usefulness of technology and multiple salient outcomes: the improbable case of oil and gas workers

“…In line with the findings of perceived usefulness of technology by Panari et al. (2021) , the belief in improved performance with new technology tools was the foundation for perceived usefulness.…”

Examining online learning platform characteristics and employee engagement relationship during Covid-19

“…Such demands include technological errors, incompatible technologies, expectations of continuous learning, quick responses and constant availability, cognitive overload and poor quality of communication (Day et al , 2012; Stich et al , 2015). These possible techno-stressors could result into exhaustion and burnout, particularly when organizations do not provide infrastructural and social resources to support technological changes (Panari et al , 2021). PEoU of the technology, in this context, would act as a resource which would ensure that employees are more prepared to deal with such techno-stressors.…”

“…PEoU of the technology, in this context, would act as a resource which would ensure that employees are more prepared to deal with such techno-stressors. In this context, the JDR model explains how the motivational process of engagement can get initiated when PEoU is present, by enabling workers to experience the technology positively and diminishing the negative impact of techno-stressors (Panari et al , 2021).…”

“…Perceptions about the usefulness of the content in improving performance are likely to activate the motivational potential in employees and increase their learning satisfaction and, consequently, their engagement. A recent study has reported that the PU of a device/ technology predicts the intention to use the device/technology as well as the engagement of the employees (Panari et al, 2021).…”