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The purpose of this paper is to document the results and the impact of the ESRC-funded High Street UK 2020 (HSUK2020), a project designed to take the existing academic knowledge relating to retail and high street change directly to UK High Streets, to improve local decision-making and, ultimately, their vitality and viability.

Through a systematic literature review, and by following the tenets of engaged scholarship, the authors identified 201 factors that influence the vitality and viability of town centres. Through the consensus-building Delphi technique, a panel of 20 retail experts identified the top 25 priorities for action.

Taking a place management approach led to the development of a more strategic framework for regeneration, which consisted of repositioning, reinventing, rebranding and restructuring strategies (4R’s of regeneration). Collaboration with the project towns resulted in identification of the strategy area that would add the most value, and the impact of the 4R’s and the top 25 priorities is demonstrated via numerous town examples.

Knowledge exchange projects, such as High Street UK2020, have an important contribution to make, not by developing even more theory that is unlikely to get utilised, instead their contribution is to bring existing theory into practical use.

The purpose of this paper is to use tenets of the complexity theory in order to study the effect of various determinants of firm’s performance, such as CEO’s compensation and age, for the case of 72 insurance companies.

The authors identify the asymmetries in the data set by creating quantiles and using contrarian analysis. Instead of ignoring this information and use a main effects approach, all the available information in the data set is taken into account. For this purpose, the authors use qualitative comparative analysis to find alternative equifinal routes toward high firm performance.

Five configurations are found which lead to high performance. Every one of the five configurations is found to be sufficient but not necessary for high firm performance.

The research findings contribute to a better understanding of the determinants of firm’s performance taking into account the asymmetries in the data set. The authors identify alternative paths toward high firm performance, which could be vital information for the decision maker inside a firm.