Evaluation of Research Design The article employed the quantitative approach and survey research design in assessing the potential of the EGQM Excellence Model in promoting the achievement of effective knowledge management and business results. This research design is appropriate for it enabled the researchers to sample and collect information from organisations that met the inclusion criteria. Out of 335 targeted organisations, 255 met the inclusion criteria and provided complete evaluations (Calvo-Mora et al. 1645). The survey research design is preferable because it enhances representation, eases data collection, limits researcher’s bias, and provides valid and accurate data. However, the limitations of this research design are inflexibility in data collection and generalisation of structured questions to provide for diverse respondents. In essence, researchers cannot change the design of questionnaire, method of collecting data, and structure of questions during the data collection to suit the prevailing conditions of respondents. The article utilised an established conceptual model derived from the EFQM Excellence Model to determine the relationship between operational activities and organisational outcomes. The conceptual model is appropriate for the study because the EFQM Excellence Model offers a robust framework, which allows quantitative assessment of organisations’ activities and achievements on their path to excellence. The hypotheses of the study had their basis on the relationships between process methodology, suppliers/partners, knowledge, and key business results (Calvo-Mora et al. 1645). As EFQM Excellence Model provides results that are valid, reliable, and highly predictive (Suarez et al. “Quantitative Research” 154), it offers an accurate determination of the cause-effect relationship between organisational activities and outcomes. Calvo-Maro et al. report that factor loadings surpassed 0.707, the internal consistency was more than 0.7, and predictive power was higher than 0.417 (1648). Nevertheless, the conceptual model used a section of the EFQM Excellence Model. Additionally, the limitation of the methodology is low external validity as most organisations sampled are private organisations, small and medium enterprises, and service providers. Results and Their Analysis The analysis of the findings centres on the four hypotheses derived from the conceptual framework. The analysis utilised SmartPLS (version 2.0.M3) software in performing partial least squares regression to assess the effect of predictors on criterions (Calvo-Maro et al. 1646). Partial least squares regression is relevant for the analysis of data for it permits prediction of a set of criterions using a set of predictors (Dijkstra and Henseler 299). As the study has three predictors and three criterions, the conceptual framework modelled them to provide four hypotheses and paths that depict their relationship. Thus, the process methodology formed the exogenous variable, whereas suppliers/partners, knowledge, and key business results constituted the endogenous variables. The study analysed data from 255 private and public organisations in service, construction, and agricultural industries. In the first hypothesis, the regression analysis revealed that th