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Artificial Intelligence Competencies in Logistics Management: An Empirical Insight from Bahrain

Author

Listed:
  • Ahmad Saleh Shatat

    (Department of Management Information Systems, College of Administrative Sciences, Applied Science University, East Al-Ekir, Bahrain)

  • Abdallah Saleh Shatat

    (Department of Management Information Systems, College of Administrative Sciences, Applied Science University, East Al-Ekir, Bahrain)

Abstract

This research seeks to examine the artificial intelligence (AI) competencies in logistics management by reviewing its capabilities, challenges and benefits. To increase the use of AI in logistics management, this study addresses the issues of the current technology in AI adoption in logistics management. This goal was accomplished using a systematic methodology. First, a detailed review was conducted to look at the advantages, challenges and current AI competencies. Using a survey instrument and a simple random sampling technique, the required data was collected from 44 businesses which effectively use AI in their logistical operations. The collected data gave insightful information on how AI is currently being used in logistics management. The outcome of this study shows that AI significantly affects logistics management. The study reveals notable competencies, significant challenges and major advantages of AI in managing logistics activities through the systematic analysis and synthesis of the obtained data. These findings demonstrate how AI has the potential to improve operational effectiveness, resource allocation, decision-making processes and supply chain operations in logistics management. A potential recommendation is to establish strategies and guidelines for efficient implementation and integration of AI technologies in logistics management based on the observed technology gap and the research’s findings. This will minimise the current gap and optimise the advantages of the industry’s use of AI, resulting in higher performance, cost savings and increased competitiveness for logistics business organisations.

Suggested Citation

  • Ahmad Saleh Shatat & Abdallah Saleh Shatat, 2024. "Artificial Intelligence Competencies in Logistics Management: An Empirical Insight from Bahrain," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 23(01), pages 1-34, February.
  • Handle: RePEc:wsi:jikmxx:v:23:y:2024:i:01:n:s0219649223500594
    DOI: 10.1142/S0219649223500594
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