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Operating in environments affected by uncertainty: Supply chain finance, timely information sharing using advanced technology, and financial performance in supply chain management 4.0

Khan, Muhammad Naveed, Akhtar, Pervaiz, Zhang, L. L, Khan, Zaheer (2024) Operating in environments affected by uncertainty: Supply chain finance, timely information sharing using advanced technology, and financial performance in supply chain management 4.0. Journal of General Management, 50 (1). pp. 37-52. ISSN 0306-3070. E-ISSN 1759-6106. (doi:10.1177/03063070241263155) (KAR id:106215)

Abstract

Digitally enabled supply chains, particularly operating in uncertain environments, have been offering emerging domains for research. The effects of Timely Information Sharing (TIS) on Financial Performance (FP) in the context of Supply Chain Finance (SCF) have been hitherto neglected, especially in the context of environments affected by uncertainty. The study contributes to the related literature by developing an integrated framework interlinked with Information Processing and Contingency theories and it facilitates the understanding of the relationships that exist among SCF, TIS using advanced technology, and FP in the context of the environments affected by uncertainty caused by unpredictable events like terrorist attacks and pandemics. To corroborate the relationships and validate the relative framework, we applied Structural Equation Modelling to the data collected from 261 firms. Our findings show that SCF significantly influences FP and that TIS plays a mediating role in enhancing FP interlinked with modern technology. The study also provides the implications of SCF and TIS in strengthening Supply Chain Management 4.0 operations affected by unprecedented circumstances that hinder FP and its viability within the supply chains’ context.

Item Type: Article
DOI/Identification number: 10.1177/03063070241263155
Uncontrolled keywords: uncertainty; supply chain finance; timely information sharing using advanced technology; financial performance; Pakistan; structural equation modelling; supply chain management 4.0
Subjects: H Social Sciences
Divisions: Divisions > Kent Business School - Division > Department of Marketing, Entrepreneurship and International Business
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Muhammad Khan
Date Deposited: 10 Jun 2024 10:04 UTC
Last Modified: 05 Nov 2024 13:12 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/106215 (The current URI for this page, for reference purposes)

University of Kent Author Information

Khan, Muhammad Naveed.

Creator's ORCID: https://orcid.org/0000-0003-3718-9292
CReDIT Contributor Roles:

Akhtar, Pervaiz.

Creator's ORCID:
CReDIT Contributor Roles:

Khan, Zaheer.

Creator's ORCID: https://orcid.org/0000-0001-5538-3123
CReDIT Contributor Roles:
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