Empirical analysis of organizational quality defect management enabling factors identification based on SMT, interval-valued hesitant fuzzy set ELECTRE and QRA methods
Issue title: Information Sciences and Data Transmission of Data
Affiliations: [a] School of Management, Liaoning University of Technology, Jinzhou, China
| [b] School of Economics, Liaoning University of Technology, Jinzhou, China
| [c] School of Economics and Management, Harbin Engineering University, Harbin, China
Correspondence:
[*]
Corresponding author. Qiang Liu, School of Management, Liaoning University of Technology, 121001, Jinzhou, China. Tel.: +86 139 4167 8627; E-mail: [email protected].
Abstract: Quality is of great significance in enterprises, strengthening and identifying enabling factors of quality defect management are one of core goals of organizational operation management. In this study, sense-making theory is adopted to identify organizational quality defect management enabling factors, and interval-valued hesitant fuzzy set ELECTRE for multi-attribute decision-making method and quantile regression analysis method are used to empirically identify and verify organizational quality defect management enabling factors, revealing influence size and scale, influence degree and influence significance level of enabling factors on organizational quality defect management. Empirical analysis results indicate that combination methods of sense-making theory, interval-valued hesitant fuzzy set ELECTRE for multi-attribute decision-making method and quantile regression analysis method can effectively identify organizational quality defect management enabling factors, which will have great promise in the field of organizational quality management and operation management based on the rationality, feasibility and applicability.
Keywords: Interval-valued hesitant fuzzy set ELECTRE for multi-attribute decision-making, organizational quality defect management, quantile regression method, sense-making theory
