Empirical classification of European Foundation for Quality Management (EFQM) model enabler sub-criteria using a quadrant matrix

Abstract

PurposeThe purpose of this paper is to examine how sub-criteria of the European Foundation for Quality Management (EFQM) model is structurally connected and influence each other. This paper also tries to find the underpinning logics in the EFQM model.Design/methodology/approachThe study uses the empirical methodology based on assessment scores of 58 different organizations to gauge the underlying structure, develop the construct and establish interlinkages among the various sub-criteria in the EFQM model. Statistical analysis is used to find the impact on results and cross influencing of criteria at the sub-criteria level. The factorial analysis is carried out using the Doe technique to create factorial plots for result categories (customer results, people results, society results and business results). The approach is to unravel (1) the role played by each sub-criterion of the model, (2) the effects of sub-criteria on the results of the EFQM model and (3) the influence of sub-criteria on the managerial aspects of the model in an organizational context.FindingsThe EFQM sub-criteria are categorised as promoters, proponents, defenders or detractors based on their impact on the results and cross-influence on each other. The study unfolded seven sub-criteria positively impacting the results and one sub-criterion negatively impacting the results if not handled properly. Out of 32 sub-criteria, nine sub-criteria are influencing more than six other sub-criteria.Originality/valueThe paper investigates, for the first time: (1) the role played by each sub-criteria of the model; (2) the relationships that are produced between these sub-criteria on the EFQM results and (3) identify how such sub-criteria would influence the managerial aspects of the model in an organizational context. This research develops underlying logics in the EFQM model using Doe factorial methods for overcoming the multi-collinearity.