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Demystifying the relationship between enablers and results at sub-criteria level: an empirical study on EFQM model

M.A. Narasimha Murthy, Kuldip Singh Sangwan and N.S. Narahari

International Journal of Business Excellence, 2023, vol. 31, issue 1, 126-154

Abstract: The purpose of this article is to assess the interrelations between the EFQM model's enablers and results at the sub-criteria level. The multi-collinearity issue is addressed using a factorial analysis of DOE techniques for identifying the primary factors influencing the results. The primary data for the study is taken from the assessment scores of 58 Indian companies used for EFQM award program. The factorial analysis is primarily used for data analysis. The research has identified the primary influencing factors at the sub-criteria level for the customer, people, society, and business performance improvement. The few and critical enablers identified in the research would serve managers and organisations as a guide for effective deployment of the EFQM model and focused prioritisation for the improvement. The study has also demystified the assumptions regarding interlinkages/inter-connections among sub-criteria of the EFQM model to improve organisational results.

Keywords: EFQM; factorial analysis; DOE; empirical research; business excellence; influencing factors; results category. (search for similar items in EconPapers)
Date: 2023
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