On the contribution to the alignment during an organizational change: Measurement of job satisfaction with working conditions |
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| Affiliation: | 1. Laboratory of Transportation Engineering and Environment, Department of Transportation Engineering, Faculty of Technology Sciences, University of Mentouri, Conatantine1, Constantine, Algeria;2. Escuela Politécnica Superior, University of Burgos, Burgos, Spain;3. Department of Applied Mathematics and Computer Sciences, University of Cantabria, Santander, Spain;4. Laboratory of Industrial Prevention Research, Health and Industrial Safety Institute, University of Batna2, Batna, Algeria;1. College of Engineering, Civil Engineering Department University of Wasit, Kut, Iraq;2. Lyles School of Civil Engineering, Purdue University, 550 Stadium Mall, West Lafayette, IN 47907-2051, USA;1. College of Engineering, Zhejiang Normal University, Zhejiang 321005, China;2. Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province, Zhejiang Normal University, Zhejiang 321005, China;3. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, Sichuan 611756, China;4. Sichuan Vocational and Technical College of Communications, Chengdu, Sichuan 611130, China;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Center for Connected Multimodal Mobility, Clemson University, Clemson, SC 29634, USA;3. School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;1. Department of Smart City Engineering, Hanyang University at Ansan, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-city, Gyeonggi-do 15588, Republic of Korea;2. Department of Smart City Research, Seoul Institute of Technology Principal Researcher, 8F, Maebongsan-ro 37, Mapo-gu, Seoul, 03909, Republic of Korea;3. Department of Transportation and Logistics Engineering, Hanyang University at Ansan, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan-city, Gyeonggi-do 15588, Republic of Korea;4. Transportation Safety Research and Development Institute, Korea Transportation Safety Authority, 77 Hyeoksin 8-ro, Gimcheon-city, Gyeongsangbuk-do 39660, Republic of Korea;1. Division of Injury Prevention, National Center of Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, GA, USA;2. Larner College of Medicine, University of Vermont, Burlington, VT, USA;1. Glenn Department of Civil Engineering, Clemson University, Clemson, SC 29634, USA;2. Applied Statistics, School of Mathematical and Statistical Sciences, Clemson University, Clemson, SC 29634, USA;3. Department of Civil and Environmental Engineering, University of South Carolina, Columbia, SC 29208 USA |
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| 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. |
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| Keywords: | Health and safety Organizational change Working conditions Alignment Bayesian Networks |
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