A Fully Completed Spherical Fuzzy Data-Driven Model for Analyzing Employee Satisfaction in Logistics Service Industry

This study proposes a two-stage MCDM model that combines Delphi and decision-making trial evaluation laboratory methods based on spherical fuzzy sets (SF-Delphi SF-DEMATEL) to analyze the motivation demotivation factors affecting employee satisfaction in Vietnamese logistics service industry. In first stage, SF-Delphi approach is used gather expert opinions develop consensus significance of criteria. second SF-DEMATEL technique explores causal linkages between criteria identifies root causes issues. Based comprehensive literature review feedback from 40 experts, this identified crucial related both aspects. The findings provide recommendations for managers improve satisfaction, such as establishing clear detailed wage bonus rules, offering training courses, developing positive work culture, recognizing efforts, addressing poor treatment by supervisors inadequate leadership support. Furthermore, proposed accurately essential elements, represents uncertainty, adapts various contexts, has resilience accuracy, practical implications mitigating demotivating enhancing motivation, thereby positively influencing