DIGITAL WORKFORCE AUGMENTATION FOR INTELLIGENT SUPPLY CHAIN AND LOGISTICS OPERATIONS IN SAUDI ARABIA UNDER VISION 2030
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Abstract
Saudi Arabias ambition to become a globally connected logistics centre creates an important question about digital transformation: which technologies genuinely extend the capabilities of supply chain workers, rather than merely accelerating transactions? This integrative review examines digital workforce augmentation across forecasting, procurement,warehousing,freight coordination and disruptionmanagement. Drawing on thirty peer reviewed contributions published between 2020 and 2025, it synthesises evidence concerning human algorithm decision making,intelligent assistants, workflow automation, connected data and organizational capability.The analysis distinguishes information access, cognitive support and coordinated action, arguing that their value depends on task characteristics, information quality and accountable human intervention. Four tensions emerge: visibility versus surveillance,automation versus discretion, decision speed versus explainability, and efficiency versus resilience. A workforce centred framework links digital infrastructure to augmentation mechanisms, job redesign and measurable operational outcomes. For Saudi Arabia, implementation should prioritise interoperable logistics information,occupation specific digital competence, bilingual interfaces, auditable recommendations and staged evaluation.
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How to Cite This Article
Hashim Hussain (2026); DIGITAL WORKFORCE AUGMENTATION FOR INTELLIGENT SUPPLY CHAIN AND LOGISTICS OPERATIONS IN SAUDI ARABIA UNDER VISION 2030, International Journal of Advanced Research (IJAR), 14 (10), 1849-1859, ISSN 2320-5407.
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This work is licensed under a Creative Commons Attribution 4.0 International License.
