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Symmetry 2019, 11(1), 24; https://doi.org/10.3390/sym11010024

Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach

1
Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran 1477893855, Iran
2
Department of Management, Central Tehran Branch, Islamic Azad University, Tehran 1477893855, Iran
3
Department of Humanities, Faculty of Humanities and Psychology, Shahid Chamran University, Ahvaz 6135743136, Iran
4
Institute of Sustainable Construction, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
5
Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
*
Author to whom correspondence should be addressed.
Received: 6 December 2018 / Revised: 22 December 2018 / Accepted: 24 December 2018 / Published: 28 December 2018
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Abstract

A primary issue that is being discussed nowadays in organizations is continuous improvement of the organization itself, because the procedure of periodic evaluation is an important tool to maintain the improvement of the organization. An essential factor in any organization is the human resources as a key asset to guide organizations to sustain their competitive advantages by employing particular knowledge and skills to form a comprehensive and sustainable human resource management. Evaluation of job satisfaction has become a part of the strategic approach toward incorporating business policies and human resource actions in modern day organizations. The current research study presents a novel hybrid validation framework to evaluate and appraise the factors influencing job satisfaction based on the fuzzy MULTIMOORA approach and partial least-squares path modeling (PLS-PM). The proposed fuzzy MCDM technique and statistical method validate each other to present an optimal assessment of influencing factors in job satisfaction. Eventually, a real-world case study in regard to influential factors in job satisfaction has been suggested in this study, to show that the proposed framework is a practical and accurate method to tackle an assessment problem in a real-world application of influencing factors in job satisfaction in a cross-industrial multi-national construction and geotechnical engineering organization in Iran. View Full-Text
Keywords: job satisfaction; modelling in management engineering; sustainable human resource management; structural equation model (SEM); partial least-squares path modeling (PLS-PM); fuzzy multiple criteria decision-making (FMCDM); F-MULTIMOORA job satisfaction; modelling in management engineering; sustainable human resource management; structural equation model (SEM); partial least-squares path modeling (PLS-PM); fuzzy multiple criteria decision-making (FMCDM); F-MULTIMOORA
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ijadi Maghsoodi, A.; Azizi-ari, I.; Barzegar-Kasani, Z.; Azad, M.; Zavadskas, E.K.; Antucheviciene, J. Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach. Symmetry 2019, 11, 24.

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