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A knowledge-based experts’ system for evaluation of digital supply chain readiness

A knowledge-based experts’ system for evaluation of digital supply chain readiness
A knowledge-based experts’ system for evaluation of digital supply chain readiness
The digitalization of the supply chain (SC) enables companies to address customers' new requirements, the challenges of managing the SC and the expectations, and efficiency improvement. Although digital supply chain (DSC) is a buzzword, very few organizations and decision-makers understand the challenges of transforming from a traditional supply chain to a DSC. Therefore, the purpose of this paper is to develop and implement an integrated knowledge-based system (KBS) and evaluate the overall DSC readiness value (score) of an organization. DSC readiness factors are identified from an extensive literature review and validated by experts from academia and industry. The proposed KBS is based on Fuzzy – AHP that establishes a link between DSC readiness factors and their impact on performance and evaluates overall DSC readiness value (score). The proposed KBS has been validated in an Indian manufacturing company, and results show that the overall DSC readiness value (score) of the case company is 0.267. This paper will help organizations evaluate their current position in transforming from traditional supply chain to DSC and make a plan to achieve digitalization completely in their SC operations. Managers, practitioners, and decision-makers who are involved in digitalization can use our study’s findings as a starting point for aiding the transformation.
Digital supply chain, Digital transformation, Fuzzy-AHP, Knowledge base system, Readiness, Relationship
0950-7051
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Naim, Iram
a884787f-a95e-4497-897c-b1e3b8fa1615
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Gupta, Himanshu
5fba70c4-3015-497e-849b-312dcaaa04d5
Idrisi, Ashraf Rahman
f91bd642-794a-42f9-81e4-894c3ad86d5d
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Naim, Iram
a884787f-a95e-4497-897c-b1e3b8fa1615
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Gupta, Himanshu
5fba70c4-3015-497e-849b-312dcaaa04d5
Idrisi, Ashraf Rahman
f91bd642-794a-42f9-81e4-894c3ad86d5d

Khan, Sharfuddin Ahmed, Naim, Iram, Kusi-Sarpong, Simonov, Gupta, Himanshu and Idrisi, Ashraf Rahman (2021) A knowledge-based experts’ system for evaluation of digital supply chain readiness. Knowledge-Based Systems, 228, [107262]. (doi:10.1016/j.knosys.2021.107262).

Record type: Article

Abstract

The digitalization of the supply chain (SC) enables companies to address customers' new requirements, the challenges of managing the SC and the expectations, and efficiency improvement. Although digital supply chain (DSC) is a buzzword, very few organizations and decision-makers understand the challenges of transforming from a traditional supply chain to a DSC. Therefore, the purpose of this paper is to develop and implement an integrated knowledge-based system (KBS) and evaluate the overall DSC readiness value (score) of an organization. DSC readiness factors are identified from an extensive literature review and validated by experts from academia and industry. The proposed KBS is based on Fuzzy – AHP that establishes a link between DSC readiness factors and their impact on performance and evaluates overall DSC readiness value (score). The proposed KBS has been validated in an Indian manufacturing company, and results show that the overall DSC readiness value (score) of the case company is 0.267. This paper will help organizations evaluate their current position in transforming from traditional supply chain to DSC and make a plan to achieve digitalization completely in their SC operations. Managers, practitioners, and decision-makers who are involved in digitalization can use our study’s findings as a starting point for aiding the transformation.

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More information

Accepted/In Press date: 25 June 2021
e-pub ahead of print date: 8 July 2021
Published date: 27 September 2021
Additional Information: Funding Information: This is to certify that all authors have seen and approved the final revised version of the manuscript being submitted. Publisher Copyright: © 2021 Elsevier B.V.
Keywords: Digital supply chain, Digital transformation, Fuzzy-AHP, Knowledge base system, Readiness, Relationship

Identifiers

Local EPrints ID: 450255
URI: http://eprints.soton.ac.uk/id/eprint/450255
ISSN: 0950-7051
PURE UUID: 2b691115-0679-40e7-8e2c-5cd0f3dc2996
ORCID for Simonov Kusi-Sarpong: ORCID iD orcid.org/0000-0003-1618-2518

Catalogue record

Date deposited: 19 Jul 2021 16:37
Last modified: 16 Jun 2022 01:56

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Contributors

Author: Sharfuddin Ahmed Khan
Author: Iram Naim
Author: Himanshu Gupta
Author: Ashraf Rahman Idrisi

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