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Critical factors of digital supply chains for organizational performance improvement

Critical factors of digital supply chains for organizational performance improvement
Critical factors of digital supply chains for organizational performance improvement
Technological advancement is re-defining supply chains (SCs) processes and soon traditional ways of managing SCs will no more be feasible and effective. Due to recent advancement in technology, digitalization has become an emerging topic among decision-makers and researchers. To cope-up with this emerging trend in customer behavior and remain competitive, organizations must move from their traditional ways of managing their SCs to digital supply chains (DSCs) for improved organizational performance. Therefore, the purpose of this paper is in two folds: First, to identify critical factors of DSCs that are essential for transitioning traditional SCs to DSCs to improve organizational performance. Second, interpretive structural modeling (ISM) is used to establish the relationship among critical factors and MICMAC (Matriced’ Impacts Croise´s Multiplication Applique´e a´un Classement) used to identify the driving and dependency power of the critical factors. Thus, this study identified fifteen DSC critical factors and established their direct and indirect effect on DSCs. The results show that “SC resilience”, and “proactive prevention” have the highest dependency power factors whilst “integration” and “advanced operational models” have the highest driving power factors. This study can help SC managers and decision-makers to understand the critical factors essential in adopting DSCs for improving organizational performance.
0018-9391
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Gupta, Himanshu
5fba70c4-3015-497e-849b-312dcaaa04d5
Kow Arhin, Francis
bfbb7958-a034-411e-b338-8e6ef1f187cf
Lawal, Jennifer
54bf5084-846e-4649-b83c-5f7ddcae2f9f
Hassan, Syed Mehmood
836dc1b1-c704-42f2-9657-d9640a2d18d0
Khan, Sharfuddin Ahmed
0d099816-dcae-4f73-8a82-6ebd590e1f1b
Kusi-Sarpong, Simonov
a7e68240-2b34-456e-9849-c01bd10c68f7
Gupta, Himanshu
5fba70c4-3015-497e-849b-312dcaaa04d5
Kow Arhin, Francis
bfbb7958-a034-411e-b338-8e6ef1f187cf
Lawal, Jennifer
54bf5084-846e-4649-b83c-5f7ddcae2f9f
Hassan, Syed Mehmood
836dc1b1-c704-42f2-9657-d9640a2d18d0

Khan, Sharfuddin Ahmed, Kusi-Sarpong, Simonov, Gupta, Himanshu, Kow Arhin, Francis, Lawal, Jennifer and Hassan, Syed Mehmood (2021) Critical factors of digital supply chains for organizational performance improvement. IEEE Transactions on Engineering Management. (In Press)

Record type: Article

Abstract

Technological advancement is re-defining supply chains (SCs) processes and soon traditional ways of managing SCs will no more be feasible and effective. Due to recent advancement in technology, digitalization has become an emerging topic among decision-makers and researchers. To cope-up with this emerging trend in customer behavior and remain competitive, organizations must move from their traditional ways of managing their SCs to digital supply chains (DSCs) for improved organizational performance. Therefore, the purpose of this paper is in two folds: First, to identify critical factors of DSCs that are essential for transitioning traditional SCs to DSCs to improve organizational performance. Second, interpretive structural modeling (ISM) is used to establish the relationship among critical factors and MICMAC (Matriced’ Impacts Croise´s Multiplication Applique´e a´un Classement) used to identify the driving and dependency power of the critical factors. Thus, this study identified fifteen DSC critical factors and established their direct and indirect effect on DSCs. The results show that “SC resilience”, and “proactive prevention” have the highest dependency power factors whilst “integration” and “advanced operational models” have the highest driving power factors. This study can help SC managers and decision-makers to understand the critical factors essential in adopting DSCs for improving organizational performance.

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More information

Accepted/In Press date: 12 January 2021

Identifiers

Local EPrints ID: 446148
URI: http://eprints.soton.ac.uk/id/eprint/446148
ISSN: 0018-9391
PURE UUID: f97768fb-8b55-4249-a073-f4c9030a52fd
ORCID for Simonov Kusi-Sarpong: ORCID iD orcid.org/0000-0003-1618-2518

Catalogue record

Date deposited: 22 Jan 2021 17:30
Last modified: 13 Dec 2021 03:35

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Contributors

Author: Sharfuddin Ahmed Khan
Author: Himanshu Gupta
Author: Francis Kow Arhin
Author: Jennifer Lawal
Author: Syed Mehmood Hassan

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