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Title: A data-driven analysis of the current debate on the linkages between performance and strategy studies

Authors: Nicola G. Castellano; Katia Corsi; Monica Bartolini; Francesca Bernini; Andrea Cardoni; Graziano Coller; Vincenzo Fasone; Luca Fornaciari

Addresses: Department of Economics and Law, University of Macerata, Italy ' Department of Economics and Business Administration, University of Sassari, Italy ' Department of Management Studies, University of Bologna, Forlì Campus, Italy ' Department of Economics and Management, University of Pisa, Italy ' Department of Economics, University of Perugia. Italy ' Department of Economics and Management, University of Trento, Italy ' Department of Economics and Law, Kore University of Enna, Italy ' Department of Economics, University of Parma, Italy

Abstract: This paper focuses on how the relations between performance management and measurement (PMM) and strategy are considered by scholars. These relations are crucial in building a comprehensive body of knowledge of a complex and multifaceted phenomenon which attracts scholars pertaining to different management disciplines. The results obtained by adopting quantitative methodologies (descriptive statistics and text-mining analysis) on a sample of articles recently published in the most influential international 'business, and management accounting' journals, contribute to extant literature by providing evidence that several connections exist between key-concepts which are usually considered an exclusive heritage of single management disciplines, such as strategy, organisation, management control, and so forth. For that reason, an integration of competences and methodologies is needed to support further research in the field. We also find evidence suggesting that the organisational perspective should be particularly considered when investigating the relations between strategy, management control systems and PMM.

Keywords: performance management; performance measurement; strategy; top-ranked journals; literature review; text mining.

DOI: 10.1504/IJBPM.2018.088491

International Journal of Business Performance Management, 2018 Vol.19 No.1, pp.105 - 129

Available online: 10 Nov 2017 *

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