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Identification and analysis of enablers of SCM by using MCDM approach

Vivek Agrawal (Institute of Business Management, GLA University, Mathura, India)
Rajendra P. Mohanty (SOA University, Bhubaneswar, India)
Anand Mohan Agrawal (Institute of Business Management, GLA University, Mathura, India)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 18 May 2020

Issue publication date: 22 July 2020

487

Abstract

Purpose

The purpose of this paper is to differentiate the empowering influences of critical enablers of supply chain management (SCM) along with their interrelationships. These empowering enablers are significant, as they encourage productive execution to improve organizational performance and stakeholder's satisfaction.

Design/methodology/approach

From the literature review, incidence of a number of SCM enablers were found and they were subjected to critical scrutiny by a considerable number of experts engaged in SCM research and application to identify significant and applicable empowering enablers by grounded interactions. By using Impact Matrix Cross-Reference Multiplication Applied to a Classification analysis, the driving and dependence power were analyzed and the empowering enablers were ordered. This was pursued by building up a structural model of the empowering enablers using interpretive structure modeling, followed with measuring cause–effect relationship using decision-making trial and evaluation laboratory (DEMATEL).

Findings

Among these identified enablers of SCM, operational performance, green SCM, employee empowerment and motivation and strategic association came out to be strategic enablers.

Research limitations/implications

The findings may help the practicing professionals to develop clarity in understanding of these essential enablers and their contextual as well as cause–effect relationship in SCM. The practicing professionals need to focus on all these enablers during implementation of SCM for enhancing the organizational performance and stake holders' satisfaction.

Originality/value

This study is of practical utility in real-life implementation of SCM. The algorithm used in applying the multi-criteria decision-making approach is very user-friendly, and the application of DEMATEL is an innovation compared to previous research. Further, the findings can be used as a benchmark for improving the performance of SCM by considering the cause–effect relationship.

Keywords

Acknowledgements

The authors acknowledge with humility the suggestions made by editor and reviewers for the quality improvement of this paper.

Citation

Agrawal, V., Mohanty, R.P. and Agrawal, A.M. (2020), "Identification and analysis of enablers of SCM by using MCDM approach", Benchmarking: An International Journal, Vol. 27 No. 6, pp. 1681-1710. https://doi.org/10.1108/BIJ-05-2019-0232

Publisher

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Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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