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Smartening up Ports Digitalization with Artificial Intelligence (AI): A Study of Artificial Intelligence Business Drivers of Smart Port Digitalization

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  • Mohamad ABU GHAZALEH

    (Abu Dhabi University, United Arab Emirates)

Abstract

Artificial intelligence (AI) is digitalizing transportation at sea, on land, and in the air. It has the potential to cut human error and make operations faster. However, AI is one part of a broader process to digitize and improve port operations. AI digitalization and autonomous shipping are critical in the port world; AI allows human work to be shifted toward digital platforms that are currently not fully capable. Following this, the ports industry can be sketched as a natural fit for applying AI technology, known for its complicated processes and the high proportion of human work intervention. This paper aims to analyze and explore the artificial intelligence Business Drivers of Smart Port Digitalization. This study employs the exploratory Factor Analysis (EFA), Conï¬ rmatory factor analysis (CFA), and structural equation modeling (SEM) approaches using Advance Managed Outsourced Solutions (AMOS) based on a ports communities operation management view. Then propose new AI-Ports initiatives. The value-added core tasks of ports are examined to determine the possible utilization of AI technology and the AI adoption within the ports community.

Suggested Citation

  • Mohamad ABU GHAZALEH, 2023. "Smartening up Ports Digitalization with Artificial Intelligence (AI): A Study of Artificial Intelligence Business Drivers of Smart Port Digitalization," Management and Economics Review, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 8(1), pages 78-97, February.
    • Handle: RePEc:rom:merase:v:8:y:2023:i:1:p:78-97
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    References listed on IDEAS

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    1. Van Thiel, Diederick & Van Raaij, Willem Frederik (Fred), 2019. "Artificial intelligence credit risk prediction: An empirical study of analytical artificial intelligence tools for credit risk prediction in a digital era," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 12(3), pages 268-286, June.
    2. Rotimi Boluwatife Abidoye & Albert P.C. Chan & Funmilayo Adenike Abidoye & Olalekan Shamsideen Oshodi, 2019. "Predicting property price index using artificial intelligence techniques," International Journal of Housing Markets and Analysis, Emerald Group Publishing Limited, vol. 12(6), pages 1072-1092, June.
    3. Nicoleta González-Cancelas & Beatriz Molina Serrano & Francisco Soler-Flores & Alberto Camarero-Orive, 2020. "Using the SWOT Methodology to Know the Scope of the Digitalization of the Spanish Ports," Logistics, MDPI, vol. 4(3), pages 1-20, September.
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    More about this item

    Keywords

    Artificial intelligence (AI); Ports community; Critical success factors;
    All these keywords.

    JEL classification:

    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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