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Optimizing Strategic Transformation with EFQM Model: A Contingency Theory Perspective Cover

Optimizing Strategic Transformation with EFQM Model: A Contingency Theory Perspective

Open Access
|Jun 2025

Abstract

Background

The EFQM Model, launched by the European Foundation for Quality Management (EFQM), is widely adopted by transforming organizations. Conducting research with an academic perspective on these models is crucial to comprehend their potential fully. While Contingency Theory has not yet gained widespread recognition for this purpose, it can play a fundamental role in shaping organizations’ transformational domains.

Objectives

To evaluate the feasibility of the EFQM Model in transformation by integrating theoretical concepts with practical applications across the Environment, Size, Technology, and Strategy domains while minimizing ESG risks.

Methods/Approach

Quantitative analysis, employing Linear Programming (LP), is utilized to explore the interaction between 25 sub-criteria derived from EFQM and contingency theory, with data from 50 participants being analysed using operational research-based LP optimization and sensitivity analysis.

Results

The EFQM Model showcases feasibility in managing ESG risks and driving transformations with above-average success rates in the case study. Notably, the “Size” transformation domain plays a vital role in strategic transformations, alongside other sub-criteria, as indicated by various sensitivity analyses.

Conclusions

The EFQM criteria’ methodological approach closely aligns with the transformation perspective of contingency theory, holding potential to enhance future business system research.

DOI: https://doi.org/10.2478/bsrj-2025-0007 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
Language: English
Page range: 130 - 151
Submitted on: Mar 24, 2024
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Accepted on: Jul 14, 2024
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Published on: Jun 20, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2025 Yiğit Çağlar, A. Kadir Varoğlu, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.