Evaluation of the Influencing Factors on Job Satisfaction Based on Combination of PLS-SEM and F-MULTIMOORA Approach
| Autor: | Zahra Barzegar-Kasani, Edmundas Kazimieras Zavadskas, Iman Azizi-ari, Mehdi Azad, Jurgita Antucheviciene, Abteen Ijadi Maghsoodi |
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| Rok vydání: | 2018 |
| Předmět: |
sustainable human resource management
Process management Physics and Astronomy (miscellaneous) Computer science General Mathematics 02 engineering and technology Asset (computer security) modelling in management engineering Competitive advantage Fuzzy logic Fuzzy mcdm F-MULTIMOORA 0502 economics and business 0202 electrical engineering electronic engineering information engineering Computer Science (miscellaneous) Human resources job satisfaction structural equation model (SEM) business.industry 05 social sciences Chemistry (miscellaneous) Human resource management partial least-squares path modeling (PLS-PM) Key (cryptography) 020201 artificial intelligence & image processing Job satisfaction fuzzy multiple criteria decision-making (FMCDM) business 050203 business & management |
| Zdroj: | Symmetry; Volume 11; Issue 1; Pages: 24 |
| ISSN: | 2073-8994 |
| DOI: | 10.3390/sym11010024 |
| Popis: | 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. This article belongs to the Special Issue Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes |
| Databáze: | OpenAIRE |
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