Author
Listed:
- Abebe Ejigu Alemu
(Department of Logistics and Transport Management, IMCO, National University of Science and Technology, Sohar 532, Oman)
- Amer H. Alhabsi
(Vice Dean for Academic Affairas, IMCO, National University of Science and Technology, Sohar 532, Oman)
- Faiza Kiran
(Department of Logistics and Transport Management, IMCO, National University of Science and Technology, Sohar 532, Oman)
- Khalid Salim Said Al Kalbani
(Department of Logistics and Transport Management, IMCO, National University of Science and Technology, Sohar 532, Oman)
- Hoorya Yaqoob AlRashdi
(Department of Logistics and Transport Management, IMCO, National University of Science and Technology, Sohar 532, Oman)
- Shuhd Ali Nasser Al-Rasbi
(Department of Logistics and Transport Management, IMCO, National University of Science and Technology, Sohar 532, Oman)
Abstract
The global maritime and logistics sectors are undergoing rapid digital transformation driven by emerging technologies such as automation, the Internet of Things (IoT), and blockchain. Artificial Intelligence (AI), with its ability to analyze complex datasets, predict operational patterns, and optimize resource allocation, offers a transformative potential beyond the capabilities of conventional technologies. However, mixed results are shown in its implementation. This study examines the current state of AI applications to unlock higher levels of efficiency and competitiveness in logistics firms. A mixed-methods approach was employed, combining surveys from logistics companies with in-depth interviews from key stakeholders in ports and logistics firms to triangulate insights and enhance the validity of the findings. Our results reveal that while technologies such as automation and digital tracking are increasingly utilized to improve operational transparency and cargo management, AI applications remain limited and largely experimental. Where implemented, AI contributes to strategic decision-making, predictive maintenance, customer service enhancement, and cargo flow optimization. Nonetheless, financial conditions, data integration challenges, and a shortage of AI-skilled professionals continue to impede its wider adoption. To overcome these challenges, this study recommends targeted investments in AI infrastructure, the establishment of collaborative frameworks between public authorities, financial institutions, and technology-driven Higher Education Institutions (HEIs), and the development of human capital capable of sustaining AI-enabled transformation. By strategically leveraging AI, Oman can position its ports and logistics sector as a regional leader in efficiency, innovation, and sustainable growth.
Suggested Citation
Abebe Ejigu Alemu & Amer H. Alhabsi & Faiza Kiran & Khalid Salim Said Al Kalbani & Hoorya Yaqoob AlRashdi & Shuhd Ali Nasser Al-Rasbi, 2026.
"Harnessing AI to Unlock Logistics and Port Efficiency in the Sultanate of Oman,"
Administrative Sciences, MDPI, vol. 16(1), pages 1-19, January.
Handle:
RePEc:gam:jadmsc:v:16:y:2026:i:1:p:54-:d:1845438
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