Document Type : Research Paper
Authors
- Ali Ebrahimi Kordlar 1
- Hossein Safari 2
- Helyeh Sadat Aghamiri 3
- Fatemeh Sharifi Tabar 3
- Mohsen Moradi Moghaddam 3
1 Associate Prof., Department of Accounting, Faculty of Accounting and Finance, College of Management, University of Tehran, Tehran, Iran.
2 Department of Production and Operations Management, Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.
3 Faculty of Industrial and Technology Management, College of Management, University of Tehran, Tehran, Iran.
Abstract
In today’s competitive environment, organizations must differentiate themselves through innovative capabilities and strategies that confer competitive advantage, and organizational capabilities play a pivotal role in business success. Excellence models such as EFQM help identify improvement opportunities, assess internal coherence, and guide performance enhancement. Since the organizational capabilities of the Mobile Communications of Iran (MCI) have not yet been examined using the latest EFQM framework, this study aims to identify the key organizational capabilities of the new model and develop an optimization-based mathematical formulation accordingly. Employing a descriptive survey design with an applied objective, the research population comprises academic experts, organizational excellence practitioners, and MCI specialists. First, a systematic literature review was conducted to extract and categorize the most critical organizational capabilities. Second, based on expert judgment and a fuzzy inference system, causal relationships among capabilities and the excellence model were modeled. Third, quantitative modeling of each capability was achieved through mathematical equations, resulting in an integrated capability model. Finally, a genetic algorithm was applied to optimize model parameters and determine the optimal combination of capabilities for organizational excellence. The study concludes with practical recommendations for framework implementation in companies and suggestions for future research directions.
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