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

Author

Listed:
  • José Bocoya-Maline

    (Universidad de Cadiz)

  • Manuel Rey-Moreno

    (Universidad de Sevilla)

  • Arturo Calvo-Mora

    (Universidad de Sevilla)

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.

Suggested Citation

  • José Bocoya-Maline & Manuel Rey-Moreno & Arturo Calvo-Mora, 2024. "The EFQM excellence model, the knowledge management process and the corresponding results: an explanatory and predictive study," Review of Managerial Science, Springer, vol. 18(5), pages 1281-1315, May.
    • Handle: RePEc:spr:rvmgts:v:18:y:2024:i:5:d:10.1007_s11846-023-00653-w
    DOI: 10.1007/s11846-023-00653-w
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    References listed on IDEAS

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    More about this item

    Keywords

    EFQM model; Knowledge management; Organisational results; PLS-SEM; Predictive modelling; Out-of-sample prediction;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M16 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - International Business Administration

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