Critical factors of digital supply chains for organizational performance improvement

AHMED KHAN, Sharfuddin, KUSI-SARPONG, Simonov, GUPTA, Himanshu, KOW ARHIN, Francis, NGUSEER LAWAL, Jennifer and MEHMOOD HASSAN, Syed (2021). Critical factors of digital supply chains for organizational performance improvement. IEEE Transactions on Engineering Management.

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Abstract

Technological advancement is redefining 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 article 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 is used to establish the relationship among critical factors and (matriced’ impacts croise´s multiplication applique´e a´un classement used to identify the driving and dependency power of the critical factors. Thus, this article 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 article can help SC managers and decision-makers to understand the critical factors essential in adopting DSCs for improving organizational performance.

Item Type:	Article
Uncontrolled Keywords:	08 Information and Computing Sciences; 09 Engineering; 15 Commerce, Management, Tourism and Services; Business & Management; 35 Commerce, management, tourism and services; 40 Engineering; 46 Information and computing sciences
Identification Number:	https://doi.org/10.1109/tem.2021.3052239
SWORD Depositor:	Symplectic Elements
Depositing User:	Symplectic Elements
Date Deposited:	17 Oct 2023 14:04
Last Modified:	17 Oct 2023 14:15
URI:	https://shura.shu.ac.uk/id/eprint/32466

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