The EFQM excellence model, the knowledge management process and the corresponding results: an explanatory and predictive study

José Bocoya-Maline (), Manuel Rey-Moreno () and Arturo Calvo-Mora ()
Additional contact information
José Bocoya-Maline: Universidad de Cadiz
Manuel Rey-Moreno: Universidad de Sevilla
Arturo Calvo-Mora: Universidad de Sevilla

Review of Managerial Science, 2024, vol. 18, issue 5, No 3, 1315 pages

Abstract: Abstract This study aims to analyse the relationships among the EFQM model, the knowledge management (KM) process and the corresponding results. It also seeks to analyse the predictive power of the phases of the KM process with regard to organisational results. The sample under study is composed of 113 Spanish organisations that feature some kind of Excellence Recognition System granted by the European Foundation for Quality Management (EFQM). This paper uses partial least squares (PLS) path modelling to test and validate the research model and the proposed hypotheses. In addition, thorough analyses are conducted to assess the model’s predictive performance. The results show that organisations that use the management framework proposed by the EFQM model implement the phases of the KM process efficiently. Moreover, the synergies resulting from the simultaneous implementation of the EFQM model and the KM process contribute to improving the corresponding results. Also, the predictive power of the phases of the KM process is confirmed in terms of their ability to anticipate the results that the organisation will be able to achieve with respect to customers, people, society and key business factors. Finally, this study provides empirical evidence of the direct and indirect relationships among the EFQM model, the KM process and the corresponding results. In addition, the paper identifies out-of-sample prediction as an integral element of the evaluation of the model using PLS-SEM and as a way to evaluate its practical relevance, since it allows us to predict results.

Keywords: EFQM model; Knowledge management; Organisational results; PLS-SEM; Predictive modelling; Out-of-sample prediction (search for similar items in EconPapers)
JEL-codes: M10 M16 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11846-023-00653-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:rvmgts:v:18:y:2024:i:5:d:10.1007_s11846-023-00653-w

Ordering information: This journal article can be ordered from
http://www.springer.com/business/journal/11846

DOI: 10.1007/s11846-023-00653-w

Access Statistics for this article

Review of Managerial Science is currently edited by R. Ewert and W. Kürsten

More articles in Review of Managerial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().