Investigating the Internal Structure of EFQM Excellence Model by Combined Approach Fuzzy Cognitive Mapping and Structural Equation Modeling in Ceramics and Tile Industries of Yazd

Subject Areas : Strategic Management Researches

Seyed Heidar Mirfakhraddini ¹ ( Associate Prof., Industrial Management, Faculty of Economy, Management and Accounting, Yazd University, Yazd, Iran. )
davood endelib ardakani ² ( Assistant Prof., Industrial Management, Faculty of Economy, Management and Accounting, Yazd University, Yazd, Iran. )
nasrin jamshidi ³ ( MSc., Industrial Management, Faculty of Economy, Management and Accounting, Yazd University, Yazd, Iran )

Received: 2019-06-03 Accepted : 2019-10-19 Published : 2020-05-21

Keywords: Performance Evaluation, EFQM Excellence Model, structural equation modeling, fuzzy cognitive mapping, ceramics and tile industries,

Abstract :

In today's competitive and complex world, it is absolutely essential to use a comprehensive and appropriate system such the EFQM excellence model in order to evaluate performance, identify strengths and weaknesses, and improve performance of organizations. Since no organization can reach its goals without paying attention to the relationship between components and the feedback, the purpose of this study is to quantitatively determine and confirm the feedback relationships and loops in EFQM model in ceramics and tile industries of Yazd. In this regard, a combination of two approaches is used fuzzy cognitive mapping and structural equation modeling. In the first step, 7 experts identify 22 relationships among 9 criteria of the EFQM model. In the second step, the accuracy of these relationships is tested by80 senior managers of ceramics and tile industries through two conceptual models. These models are formed based on two EFQM model principles namely the effect of enablers on the results and impact of the results on enablers in feedback, through learning, creativity, and innovation. Determination of the type and intensity of these relationships and quantitative verification helps managers to identify the strengths and weaknesses, introduce continuous improvement projects, and increase self-assessment scores in the above industries.

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