Cargando…

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

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 sailo...

Descripción completa

Detalles Bibliográficos
Autores principales: Panari, Chiara, Lorenzi, Giorgio, Mariani, Marco Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657280/
https://www.ncbi.nlm.nih.gov/pubmed/34886082
http://dx.doi.org/10.3390/ijerph182312358
_version_ 1784612475809824768
author Panari, Chiara
Lorenzi, Giorgio
Mariani, Marco Giovanni
author_facet Panari, Chiara
Lorenzi, Giorgio
Mariani, Marco Giovanni
author_sort Panari, Chiara
collection PubMed
description 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.
format Online
Article
Text
id pubmed-8657280
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86572802021-12-10 The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice Panari, Chiara Lorenzi, Giorgio Mariani, Marco Giovanni Int J Environ Res Public Health Article 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. MDPI 2021-11-24 /pmc/articles/PMC8657280/ /pubmed/34886082 http://dx.doi.org/10.3390/ijerph182312358 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Panari, Chiara
Lorenzi, Giorgio
Mariani, Marco Giovanni
The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title_full The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title_fullStr The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title_full_unstemmed The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title_short The Predictive Factors of New Technology Adoption, Workers’ Well-Being and Absenteeism: The Case of a Public Maritime Company in Venice
title_sort predictive factors of new technology adoption, workers’ well-being and absenteeism: the case of a public maritime company in venice
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8657280/
https://www.ncbi.nlm.nih.gov/pubmed/34886082
http://dx.doi.org/10.3390/ijerph182312358
work_keys_str_mv AT panarichiara thepredictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice
AT lorenzigiorgio thepredictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice
AT marianimarcogiovanni thepredictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice
AT panarichiara predictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice
AT lorenzigiorgio predictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice
AT marianimarcogiovanni predictivefactorsofnewtechnologyadoptionworkerswellbeingandabsenteeismthecaseofapublicmaritimecompanyinvenice