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To take an in‐depth look at the EFQM Excellence Model by assessing how enabler and result criteria are interrelated, and how enablers as a whole affect the complete set of results.

Provides new insight and understanding of the associations between the EFQM criteria. Canonical correlation analysis is used to measure the relationships between enablers and results, while accounting for interdependences within those sets of variables. To test the suggested causal relationship, data from a questionnaire survey conducted on 446 companies (manufacturing and service sectors) is used.

The set of enabler criteria is strongly related to the result criteria set and, with the exception of policy and strategy criteria, all the enablers and result criteria in the EFQM Excellence Model make a significant contribution to this relationship. All the enabler criteria contribute in the same way to result improvements, consequently a balanced approach in the development of enablers allows correlation between enablers and results to be maximised, thereby obtaining an optimal benefit from the EFQM Excellence Model.

The data obtained are based only on sample of Spanish firms. Studies in other countries should be conducted to ensure the reliability of the results obtained. A natural extension of this paper would be to analyse the existence of differences between industries in the EFQM Excellence Model.

A greater understanding of the linkages between the elements making‐up the EFQM model, facilitating the guiding role that award models play in the implantation of TQM systems.

A new perspective for examining the linkages between the EFQM criteria in depth. The study of the relationships between all its elements is taken into account, thereby avoiding testing isolated associations. A holistic approach to studying the relationships in the EFQM Excellence Model.

To guide organizations toward total quality management (TQM), various models have been developed such as the European Foundation for Quality Management Excellence Model (EFQM Model). The purpose of this paper is to conduct a longitudinal investigation of whether the EFQM Model can serve as a framework for TQM in healthcare.

Data on a national representative survey about quality management (QM) in the hospital population in the Netherlands were used to conduct this study. The survey had five measurement points between 1995 and 2011.

The results of the study show that applying the EFQM Model in hospitals is related to improvement in organizational performance over time, a feedback loop in which hospitals use their results to further improve their organizational processes is established, and improvement is stronger when all the model’s elements are considered simultaneously.

The results of the study can be applied by quality managers of healthcare institutions to achieve higher quality of care.

Previous research on the relationship between the EFQM excellence model and TQM neglects two essential characteristics of the TQM philosophy, namely, the holistic perspective on QM and the presumed feedback loop of organizational performance that feeds a cycle of continuous quality improvement. The study provides new insights into the long-term benefits of applying the EFQM Model as a framework for TQM in healthcare.

The purpose of this study is to identify possible correlations between the stated “enablers” and “results” in excellence models, and to explain how different variables contribute to the “enablers” and “results”. A cross-case study of two different excellence models, the Common Assessment Framework (CAF) in Italy and the Swedish Institute for Quality (SIQ) model for performance excellence, is proposed.

The study is based on the evaluation of assessment reports of public organizations across two countries, Italy and Sweden. Canonical correlation was used for data analysis. Two hypotheses were formulated: There is a correlation between “enablers” and “results” in the CAF model, and there is a correlation between “enablers” and “results” in the SIQ model.

The results show that the hypotheses are supported. It turned out that the correlation is higher for the SIQ model than for the CAF model. For the CAF model, “strategy and planning” is the main contributor to the “enablers”, and for the SIQ model, “human resource development” is the main contributor. For the “results” set, similar criteria provide the strongest contributor for both models; these are “customer/citizen-oriented results” for the CAF and “customer satisfaction” for the SIQ.

The paper contributes to the knowledge gained from a cross-case analysis of two different excellence models applied in public sector organizations, the CAF in Italy and the SIQ model for performance excellence in Sweden. The paper also contributes to an ongoing discussion of a need of excellence models being adapted specifically for the public sector; from this study, no support for such a sector-specific model is shown.

For the survival and growth of an organization, it is important to understand the transition phases of different market scenarios. During the transition from one market scenario to another, effective strategic planning is needed to manage the performance of the organizations. The paper models different market scenarios leading to excellent and poor performance of the organizations. Policy experimentations have been conducted using system dynamics methodology. The results indicate that there is no quick fix to achieve the TQM maturity level. To sustain TQM maturity level, it is extremely important to handle the transition phases of different market scenarios effectively.

This work examines the relationship between transformational leadership and enablers and results of the European Foundation for Quality Management (EFQM) model 2013 and the relationship between the EFQM model elements (enablers and results).

The work employs partial least squares (PLS) and empirical data from 102 hotels.

Transformational leadership is key to facilitate the enablers of the EFQM model (strategy, people, partnership and processes) and improve customer, employee and social results and organizational performance.

The present work expands previous studies that focus on analyzing the link between enablers and results of EFQM by showing that transformational leadership is an appropriate leadership style to foster the EFQM model elements. It empirically supports the view that transformational leadership is a facilitator that can foster the EFQM enablers and improve results in hotels. Thus, it also sheds light on the controversial link between transformational leadership and various performance measures (customer, employee and social results and organizational performance).

This study aims to validate the KAIIAE model in the public sector and analyse the interrelationships between Enablers and Results in the King Abdullah II Award for Excellence (KAIIAE) model to better understand the dynamic logic behind improving excellence results.

The methodology used is structural equation modelling (partial least squares technique), and the data were obtained from the assessment processes for the KAIIAE for 98 Jordanian public organisations.

The findings showed that the award model has proven to be a reliable and valid framework, as the criteria and sub-criteria were highly correlated. The set of Enablers was strongly related to the set of Results, and the synergies between the critical criteria confirmed the importance of leadership, strategy, and processes for the organisation's excellence results. It was found that the new significant and direct relationships between “People” and “People Results” and between “Partnerships and Resources” and both “Society Results” and “Key Results” improved the understanding and implementation of the model. There was a significant interrelationship between model criteria, excluding the relationship between “Society Results” and “Key Results”, since the government's main objective is to serve society. A new structural model for the KAIIAE with the new relationships was suggested.

This paper concentrated only on the public sector, although the excellence model has been implemented in the private sector. Features of the different types of organisations were not tested. Furthermore, the variations in size, covered fields, number of employees and provided services need to be investigated further.

Government award bodies can use these research findings to develop a new model version for public sector awards by combining a cohesive array of elements for any government organisational need or application. The study suggested adding new criteria or relationships or eliminating those that are not significant and have no impact on public sector organisations. The findings will assure the organisations' managers that the KAII excellence model criteria are highly correlated and synergised for public sector organisations. These criteria perform efficiently once they are considered and implemented in an interconnected manner rather than managing them independently, which makes up their management framework. This knowledge about the validity of the structure of the model allows public sector organisations to benefit fully from the self-assessment processes and improve the organisation's management, enhancing their faith in excellence award models.

This study has contributed to the existing literature on the reliability and validity of business excellence models as a framework for implementing, evaluating, and improving excellence, particularly in the government sector. Several important insights have emerged from this study. The relevant analysis supports a new model structure for excellence in the public sector. Among the model structure relationships, the study identified the existence of new direct relationships between enablers and results. New significant and direct relationships are added to the model that advances the implementation and understanding of the model. Moreover, it informs theory about Excellence Award implementation in developing countries within the context of Jordan – a topic that has previously received limited attention in the international business excellence literature. Since there is limited research on the suitability of implementing the KAIIEA excellence model (that is based on nine criteria of the EFQM model) in public organisations, this work suggested introducing a new modification to the model to suit the characteristics of the public sector.

The considerable prominence of the government sector has drawn attention to the excellence parameters within its organisations. Hence, a lack of studies and inadequate knowledge in the governmental management system have limited testing excellence in the public sector. This paper provides support that the excellence model (KAIIAE model that is EFQM based) is an appropriate framework by identifying direct and significant model interrelationships for the public sector based on the actual and sufficient performance of its entities so as to drive the changes of the next model generation. This is the first study that attempts to comprehend and describe the validation of the KAIIAE model in the public sector.

The purpose of this paper is to develop a conceptual framework to investigate how the European Foundation for Quality Management (EFQM) excellence model enablers influence the four types (product, process, organizational and marketing) of innovation performance of a manufacturing firm.

The study uses survey data from a sample of 580 manufacturing firms in Greece and employs structural equation modeling to test the developed hypotheses.

The results reveal that enablers of the EFQM model are either directly or indirectly associated with the four types of innovation. Furthermore, the findings show that it is essential for a firm to manage all the facilitating enablers included in the EFQM model, since they cannot boost innovation when implemented in isolation.

The sample is limited to one country (Greece). In addition, researchers have to assess the same relationships considering the effect of external factors such as environmental uncertainty. The potential consequences of enablers on innovation performance may be mediated by customer or people results.

The empirical findings of the present study help managers to develop the appropriate quality strategies and allocate the respective resources according to the desired type of innovation.

Based on the multi-dimensional structure of quality, this empirical study determines the contribution of EFQM model enablers to specific innovation performance dimensions of manufacturing companies.

The purpose of this paper is to examine the extent to which the five European Foundation for Quality Management (EFQM) model enablers, as the latent factor “enabler excellence,” are associated with business performance, taking into consideration the mediating role of innovation in this relationship.

The analysis followed in order to investigate the relations among the various constructs of the proposed model includes an initial exploratory factor analysis, followed by confirmatory factor analysis and finally structural equation modeling.

According to the study findings, “enabler excellence” and innovation performance directly contribute to business performance. Moreover, this paper concludes that innovation performance partially mediates the effect of excellence enablers on business performance.

This study does not separate between radical and incremental innovation; thus, it would be very interesting to explore this issue in future research. Moreover, it might be useful for researchers to reassess the proposed relationships examining the mediating role of organizational culture.

This study offers clear implications for managers, proving that they should give higher emphasis on quality management (QM) and the four dimensions of innovation in order to achieve increased performance.

Based on the multidimensional structure of the EFQM model, this empirical study determines the contribution of QM to business performance taking into consideration the role of innovation performance as a mediator in this relationship.

Given their capacity to generate knowledge, universities can be the primary external source of knowledge and innovation for companies. Despite studies on the potential drivers of open innovation, the actors involved in these projects beyond academics and the most effective practices that universities follow for successful university–industry collaborations remain unclear. This study aims to identify the enablers and best practices universities follow to contribute to successful university–industry open innovation results, providing a conceptual framework for the management of such initiatives.

Articles from peer-reviewed academic journals identified in the Scopus and Web of Science databases were researched in this scoping review. The review used descriptive and thematic analyses and focused on 93 articles published between 2013 and 2023 that analysed universities’ enablers and practices for knowledge transfer to the industry.

Organisational factors, stakeholder attitudes, infrastructure, and external factors facilitate knowledge transfer from universities to companies. The most effective practices for promoting innovation are related to project management, policies and incentives and are relational and educational. Performance results can be evaluated through quantitative and qualitative indicators, measured at the different phases of the innovation process, considering the impacts achieved.

Previous reviews have focused on barriers, researchers’ motivations or specific enablers. The enablers and practices identified were analysed with a systemic vision, considering the university as a unit of analysis. This study suggests a comprehensive conceptual framework for the successful management of university–industry open innovation.

This paper examines the weight structure of the EFQM excellence model. This is done through a survey among 756 chief executive officers from Danish companies who responded to a self‐assessment questionnaire. The data from this survey have been analysed through factor score regression based on confirmatory factor analysis on 5,000 bootstrapped samples. The analysis shows that the perceived criterion weights vary from the current allocation in the EFQM excellence model. This deviation is so substantial that the allocation of weights between the enabler and the result block vary considerably from the actual allocation in the EFQM excellence model. Furthermore, it seems as if Danish companies perceive the enabler criteria as equally important but this is not the case for the result criteria.