Title: The intellectual foundation of supply chain management performance models: a bibliometric analysis and synthesis

Authors: Kottala Sri Yogi; Herbert Kotzab

Addresses: Log Dynamics and Faculty 07, Department of Economics, University of Bremen, Max-Von-Laue-Straße 1, Bremen 28359, Germany; School of Business Management, SVKM's Narsee Monjee Institute of Management Studies (Deemed to be University), Hyderabad Campus, Tarnaka, Hyderabad – 500017, Telangana, India ' Faculty 07, Department of Economics, University of Bremen, Max-Von-Laue-Straße 1, Bremen 28359, Germany; Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia, 06010 UUM Sintok, Kedhah Darul Aman, Malaysia

Abstract: Recently, performance measurement models in supply chain management (SCM) or SCOR based performance models have received great attention in SCM domain. This paper reviewed the theoretical foundations of performance models in SCM over time, and proposed a holistic view by identifying the associations of existing SCM models and performance measures. A sample of 2,340 articles by 4,431 authors were thoroughly analysed using a bibliometric citation meta-technique. The articles published in nineteen top rated journals A*, A and B according to the ABS and Financial Times academic rankings in operations management discipline were extracted from the ISI Web of Science database. Using the HistCite, VOSviewer and Gephi tools, the research on performance measurement models since 1990 was mapped. Major findings of the work categorised into three research sub-streams as theoretical foundations were identified based on the 30 highly-cited papers. The most influential contributions were corroborated to propose a conceptual framework, demonstrating how the performance measures and SCM models are associated with each other using organisation theories.

Keywords: supply chain management; SCM; performance measures; bibliometric analysis; HistCite; VOSviewer; Gephi; SCM performance models.

DOI: 10.1504/IJCM.2019.100124

International Journal of Comparative Management, 2019 Vol.2 No.1, pp.67 - 91

Received: 26 May 2018
Accepted: 01 Nov 2018

Published online: 09 Jun 2019 *

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