RT journal article
T1 The EFQM excellence model, the knowledge management process and the corresponding results: an explanatory and predictive study
A1 Bocoya Maline, José
A1 Rey Moreno, Manuel
A1 Calvo Mora, Arturo
A2 Organización de Empresas
K1 EFQM model
K1 Knowledge management
K1 Organisational results
K1 Out-of-sample prediction
K1 PLS-SEM
K1 Predictive modelling
AB 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
PB Springer
SN 1863-6683
YR 2023
FD 2023-03-31
LK http://hdl.handle.net/10498/29390
UL http://hdl.handle.net/10498/29390
LA eng
DS Repositorio Institucional de la Universidad de Cádiz
RD 08-nov-2026