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The purpose of this paper is to examine two approaches to measure and diagnose innovation excellence.

The paper is a conceptual model for innovation excellence and a measurement system is developed. A Danish survey forms the empirical basis for the study, where a simple approach (by using stated importance of different innovation activities) and an advanced approach (by using derived importance based on structural equation modelling and PLS estimation) are demonstrated, discussed and compared.

The findings in this paper indicate good support for the developed model. When comparing the two approaches for identifying and prioritising improvements, both equalities and differences are found and discussed.

This study in this paper is limited to one Danish manufacturing company, which is considered to be one of the most innovative and excellent companies in Denmark. However, it is desirable to apply the model in other companies and industries.

This paper offers a model to understand and measure innovation results and its enablers, and the application of the model will give companies a better chance of attaining innovative excellence.

The paper provides a novel model for innovation excellence, which is based on a solid theoretical foundation, has been proven in practice, and can be an effective framework for identifying and prioritising improvements within innovation.

In this paper some of the main management control theories are reviewed and six dominating paradigms are identified. The identified management control paradigms are compared and analysed in relationship with the European Excellence Model (EEM) in order to investigate whether the EEM can be adopted as a management control model. Based on the analysis, advantages as well as disadvantages of the EEM as control model are discussed.

The 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.

The 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.

The 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.

The 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.