The EFQM excellence model, the knowledge management process and the corresponding results: an explanatory and predictive study
This study aims to analyse the relationships among the EFQM model, the knowl-edge management (KM) process and the corresponding results. It also seeks to ana-lyse the predictive power of the phases of the KM process with regard to organisa-tional results. The sample under study is composed of 113 Sp...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Sevilla (US) |
| Repositorio: | idUS. Depósito de Investigación de la Universidad de Sevilla |
| OAI Identifier: | oai:idus.us.es:11441/161560 |
| Acceso en línea: | https://hdl.handle.net/11441/161560 https://doi.org/10.1007/s11846-023-00653-w |
| Access Level: | acceso abierto |
| Palabra clave: | EFQM model Knowledge management Organisational results PLS-SEM Predictive modelling Out-of-sample prediction |
| Sumario: | This study aims to analyse the relationships among the EFQM model, the knowl-edge management (KM) process and the corresponding results. It also seeks to ana-lyse the predictive power of the phases of the KM process with regard to organisa-tional 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 pre-dictive 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. |
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