On the contribution to the alignment during an organizational change: Measurement of job satisfaction with working conditions. (February 2021)
- Record Type:
- Journal Article
- Title:
- On the contribution to the alignment during an organizational change: Measurement of job satisfaction with working conditions. (February 2021)
- Main Title:
- On the contribution to the alignment during an organizational change: Measurement of job satisfaction with working conditions
- Authors:
- Boulagouas, Wafa
García-Herrero, Susana
Chaib, Rachid
Herrera García, Sixto
Djebabra, Mébarek - Abstract:
- Highlights: Alignment during an organizational change. Measurement of job satisfaction with working conditions. Bayesian Network to model the influence of human factors. Managing organizational change. Abstract: Introduction: Modern approaches to Occupational Health and Safety have acknowledged the important contribution that continuous improvements to working conditions can make to the motivation of employees, their subsequent performance, and therefore to the competitiveness of the company. Despite this fact, organizational change initiatives represent a path less traveled by employees. Specialized literature has drawn on the fact that employees' satisfaction presents both the foundation and catalyst for effective implementation of improvements to working conditions. Method: This paper conceptualizes the alignment of employees through measurement of job satisfaction and uses the Bayesian Network to assess the influence of human factors, particularly the cognitive, emotional, and behavioral aspects. Toward this aim, the Bayesian Network is evaluated through a cross-validation process, and a sensitivity analysis is then conducted for each influential dimension: emotional, cognitive, and behavioral. Results: The results reveal that these three dimensions are interrelated and have a direct influence on job satisfaction and employees' alignment during the organization change. Further, they suggest that the best strategy for enhanced alignment and smooth conduct ofHighlights: Alignment during an organizational change. Measurement of job satisfaction with working conditions. Bayesian Network to model the influence of human factors. Managing organizational change. Abstract: Introduction: Modern approaches to Occupational Health and Safety have acknowledged the important contribution that continuous improvements to working conditions can make to the motivation of employees, their subsequent performance, and therefore to the competitiveness of the company. Despite this fact, organizational change initiatives represent a path less traveled by employees. Specialized literature has drawn on the fact that employees' satisfaction presents both the foundation and catalyst for effective implementation of improvements to working conditions. Method: This paper conceptualizes the alignment of employees through measurement of job satisfaction and uses the Bayesian Network to assess the influence of human factors, particularly the cognitive, emotional, and behavioral aspects. Toward this aim, the Bayesian Network is evaluated through a cross-validation process, and a sensitivity analysis is then conducted for each influential dimension: emotional, cognitive, and behavioral. Results: The results reveal that these three dimensions are interrelated and have a direct influence on job satisfaction and employees' alignment during the organization change. Further, they suggest that the best strategy for enhanced alignment and smooth conduct of organizational changes is simultaneous enhancement of the three dimensions. Practical applications: This study shows the influence of emotional, cognitive, and behavioral dimensions on job satisfaction and employees' alignment during the organizational change. Furthermore, it elaborates the way to develop efficient and effective strategies for a successful change implementation and sustained alignment. … (more)
- Is Part Of:
- Journal of safety research. Volume 76(2021)
- Journal:
- Journal of safety research
- Issue:
- Volume 76(2021)
- Issue Display:
- Volume 76, Issue 2021 (2021)
- Year:
- 2021
- Volume:
- 76
- Issue:
- 2021
- Issue Sort Value:
- 2021-0076-2021-0000
- Page Start:
- 289
- Page End:
- 300
- Publication Date:
- 2021-02
- Subjects:
- Health and safety -- Organizational change -- Working conditions -- Alignment -- Bayesian Networks
Industrial safety -- Periodicals
Accidents -- Prevention -- Periodicals
Safety -- Periodicals
Accidents, Occupational -- Periodicals
Sécurité du travail -- Périodiques
Accidents -- Prévention -- Périodiques
Accidents -- Prevention
Industrial safety
Periodicals
363.1 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00224375 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jsr.2020.12.006 ↗
- Languages:
- English
- ISSNs:
- 0022-4375
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5052.130000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 15943.xml