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The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0

The research provides insight into the factors that determine absenteeism in different types of organizations, in order to facilitate the adjustment of employees and organizations in the transition process from Industry 4.0 to Industry 5.0. The aim of the study is to predict the absenteeism of emplo...

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Autores principales: Sitarević, Aleksandra, Nešić Tomašević, Ana, Sofić, Aleksandar, Banjac, Nikola, Novaković, Nenad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136245/
https://www.ncbi.nlm.nih.gov/pubmed/37102846
http://dx.doi.org/10.3390/bs13040332
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author Sitarević, Aleksandra
Nešić Tomašević, Ana
Sofić, Aleksandar
Banjac, Nikola
Novaković, Nenad
author_facet Sitarević, Aleksandra
Nešić Tomašević, Ana
Sofić, Aleksandar
Banjac, Nikola
Novaković, Nenad
author_sort Sitarević, Aleksandra
collection PubMed
description The research provides insight into the factors that determine absenteeism in different types of organizations, in order to facilitate the adjustment of employees and organizations in the transition process from Industry 4.0 to Industry 5.0. The aim of the study is to predict the absenteeism of employees in the context of job characteristics and mental health. Additionally, the research investigated the effect of size, ownership, and sector of the companies on absenteeism, job characteristics, and mental health. The sample included responses from 502 employees of different sociodemographic characteristics that work in various types of organizations, performing white-collar and blue-collar jobs. A short mental health questionnaire—Mental Health Inventory, MHI-5—was used in order to measure mental health. The Job Characteristics Questionnaire was used to measure the employees’ perceptions of their job characteristics—job variety, autonomy, feedback, dealing with others, task identity, and friendship. The absenteeism is operationalized with the question: “During the past 12 months, how many days were you absent from work for any reason?”. The findings suggest that mental health and job characteristics significantly reduce absenteeism among different sectors. The result showed that the size, ownership, and sector of the organization significantly affect the absenteeism, job characteristics, and the mental health of the employees. The results support the premises of Industry 5.0 and offer a new human-centric approach to absenteeism through the promotion of mental health through long-term organizational strategies and a more inclusive approach to employees’ preferences in relation to job characteristics. The study offers a new, double-sided model of absenteeism, determining causal factors from the perspective of personal and organizational factors.
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spelling pubmed-101362452023-04-28 The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0 Sitarević, Aleksandra Nešić Tomašević, Ana Sofić, Aleksandar Banjac, Nikola Novaković, Nenad Behav Sci (Basel) Article The research provides insight into the factors that determine absenteeism in different types of organizations, in order to facilitate the adjustment of employees and organizations in the transition process from Industry 4.0 to Industry 5.0. The aim of the study is to predict the absenteeism of employees in the context of job characteristics and mental health. Additionally, the research investigated the effect of size, ownership, and sector of the companies on absenteeism, job characteristics, and mental health. The sample included responses from 502 employees of different sociodemographic characteristics that work in various types of organizations, performing white-collar and blue-collar jobs. A short mental health questionnaire—Mental Health Inventory, MHI-5—was used in order to measure mental health. The Job Characteristics Questionnaire was used to measure the employees’ perceptions of their job characteristics—job variety, autonomy, feedback, dealing with others, task identity, and friendship. The absenteeism is operationalized with the question: “During the past 12 months, how many days were you absent from work for any reason?”. The findings suggest that mental health and job characteristics significantly reduce absenteeism among different sectors. The result showed that the size, ownership, and sector of the organization significantly affect the absenteeism, job characteristics, and the mental health of the employees. The results support the premises of Industry 5.0 and offer a new human-centric approach to absenteeism through the promotion of mental health through long-term organizational strategies and a more inclusive approach to employees’ preferences in relation to job characteristics. The study offers a new, double-sided model of absenteeism, determining causal factors from the perspective of personal and organizational factors. MDPI 2023-04-14 /pmc/articles/PMC10136245/ /pubmed/37102846 http://dx.doi.org/10.3390/bs13040332 Text en © 2023 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
Sitarević, Aleksandra
Nešić Tomašević, Ana
Sofić, Aleksandar
Banjac, Nikola
Novaković, Nenad
The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title_full The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title_fullStr The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title_full_unstemmed The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title_short The Psychosocial Model of Absenteeism: Transition from 4.0 to 5.0
title_sort psychosocial model of absenteeism: transition from 4.0 to 5.0
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136245/
https://www.ncbi.nlm.nih.gov/pubmed/37102846
http://dx.doi.org/10.3390/bs13040332
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