Modelling the abstract knots in supply chains using interpretive structural modelling (ISM) approaches: a review-based comprehensive toolkit
Benchmarking: An International Journal
ISSN: 1463-5771
Article publication date: 14 January 2022
Issue publication date: 29 November 2022
Abstract
Purpose
This study endeavours to (a) develop a comprehensive interpretive structural modelling (ISM) toolkit containing sufficient details about the suitability and procedural aspects of each ISM approach and offer points of reference for budding researchers, (b) highlight the compatibility of ISM approaches with other qualitative and quantitative approaches, and (c) chalk-out an agenda for future research.
Design/methodology/approach
This study is based on an extensive review of 74 studies where researchers have used one or more ISM approaches. These studies span across the different industry sectors.
Findings
There exists a huge void in terms of the methodological synthesis of ISM approaches. ISM approaches are frequently used in sync with other qualitative and quantitative approaches. Furthermore, it highlights the need of improving the robustness of the proposed ISM models by sharing the critical details of research process.
Research limitations/implications
Being a review-based work, it could not illustrate the discussed ISM approaches with real data. However, it offers a research agenda for the prospective researchers.
Practical implications
The prerequisites, pitfalls, suitability and the procedural aspects of various ISM approaches contained in this toolkit are equally useful for the academicians as well as practitioners.
Originality/value
In the absence of a synthesized framework, this study contributes a comprehensive ISM toolkit which will help the researchers to choose a suitable ISM approach in a given case.
Keywords
Citation
Abbas, H., Mehdi, M., Azad, I. and Frederico, G.F. (2022), "Modelling the abstract knots in supply chains using interpretive structural modelling (ISM) approaches: a review-based comprehensive toolkit", Benchmarking: An International Journal, Vol. 29 No. 10, pp. 3251-3274. https://doi.org/10.1108/BIJ-08-2021-0459
Publisher
:Emerald Publishing Limited
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