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

Chiara PanariGiorgio LorenziMarco Giovanni Mariani
Published in: International journal of environmental research and public health (2021)
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.
Keyphrases
  • social support
  • mental health
  • healthcare
  • depressive symptoms
  • physical activity
  • primary care
  • electronic health record
  • machine learning
  • deep learning
  • artificial intelligence
  • data analysis
  • patient reported