Akhtar, Pervaiz, Papadopoulos, Thanos, Khan, Huda, Ghouri, Arsalan Mujahid, Shamim, Saqib, Ashraf, Aniqa (2026) Risk, generative AI, disinformation control, global supply chains, and social impacts. Technological Forecasting and Social Change, 226 . Article Number 124609. ISSN 0040-1625. (doi:10.1016/j.techfore.2026.124609) (KAR id:113092)
|
PDF
Author's Accepted Manuscript
Language: English
This work is licensed under a Creative Commons Attribution 4.0 International License.
|
|
|
Download this file (PDF/1MB) |
Preview |
| Request a format suitable for use with assistive technology e.g. a screenreader | |
| Official URL: https://doi.org/10.1016/j.techfore.2026.124609 |
|
Abstract
The use of generative artificial intelligence (GenAI) is increasing the control risks in business operations. Disinformation control and geopolitical risk management are emerging concerns for supply chains. In the presence of these developments, this study addresses a gap in literature by applying balance-of-power theory (BPT), and it employs partial least squares structural equation modeling (PLS-SEM) to test the framework and relationships. Data were collected through a survey of 209 managers in China's maritime logistics sector. The sample covers shipping, freight services, port operations and maritime support services in Shanghai, Ningbo and Qingdao. The results show that geopolitical risk reduction (GRR) is the main driver of global supply chain resilience (GSCR). GenAI use partly explains how GRR translates into stronger GSCR. The findings also show that the role of GRR depends on unity and balance of power. These factors support global supply chain resilience and help control quality, time and cost in operations. Disinformation control has a positive moderating effect and further strengthens GSCR in maritime activities. The study contributes to research on BPT, GRR and the growing use of GenAI in supply chains. It also offers theoretical, practical and policy insights and outlines directions for future research.
| Item Type: | Article |
|---|---|
| DOI/Identification number: | 10.1016/j.techfore.2026.124609 |
| Additional information: | For the purpose of open access, the author(s) has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising. |
| Uncontrolled keywords: | geopolitical risk reduction |
| Subjects: | H Social Sciences |
| Institutional Unit: | Schools > Kent Business School |
| Former Institutional Unit: |
There are no former institutional units.
|
| Funders: | University of Kent (https://ror.org/00xkeyj56) |
| Depositing User: | Elisa Morse |
| Date Deposited: | 17 Feb 2026 12:12 UTC |
| Last Modified: | 02 Mar 2026 13:58 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/113092 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):

https://orcid.org/0000-0001-6821-1136
Altmetric
Altmetric