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Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions

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  • Ziaul Haque Munim
  • Mariia Dushenko
  • Veronica Jaramillo Jimenez
  • Mohammad Hassan Shakil
  • Marius Imset

Abstract

This study provides a bibliometric review of 279 studies on the applications of big data and artificial intelligence (AI) in the maritime industry, published in 214 academic outlets, authored by 842 scholars. We extracted bibliographical data from the Web of Science database and analysed it using the Bibliometrix tool in R software. Based on citation analysis metrics, we revealed the most influential articles, journals, authors and institutions. Using the bibliographic coupling methodology, we identified four underlying research clusters: (1) digital transformation in maritime industry, (2) applications of big data from AIS, (3) energy efficiency and (4) predictive analytics. We analysed these clusters in detail and extracted future research questions. Besides, we present research collaboration networks on the institution and author level.

Suggested Citation

  • Ziaul Haque Munim & Mariia Dushenko & Veronica Jaramillo Jimenez & Mohammad Hassan Shakil & Marius Imset, 2020. "Big data and artificial intelligence in the maritime industry: a bibliometric review and future research directions," Maritime Policy & Management, Taylor & Francis Journals, vol. 47(5), pages 577-597, July.
    • Handle: RePEc:taf:marpmg:v:47:y:2020:i:5:p:577-597
    DOI: 10.1080/03088839.2020.1788731
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    Citations

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    Cited by:

    1. Sel, Burakhan & Minner, Stefan, 2022. "A hedging policy for seaborne forward freight markets based on probabilistic forecasts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    2. Yili Chen & Congdong Li & Han Wang, 2022. "Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021)," Forecasting, MDPI, vol. 4(4), pages 1-20, September.
    3. Ricardo Arencibia-Jorge & Rosa Lidia Vega-Almeida & José Luis Jiménez-Andrade & Humberto Carrillo-Calvet, 2022. "Evolutionary stages and multidisciplinary nature of artificial intelligence research," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5139-5158, September.
    4. Carine Dominguez-Péry & Lakshmi Narasimha Raju Vuddaraju & Isabelle Corbett-Etchevers & Rana Tassabehji, 2021. "Reducing maritime accidents in ships by tackling human error: a bibliometric review and research agenda," Journal of Shipping and Trade, Springer, vol. 6(1), pages 1-32, December.
    5. Theodore Styliadis & Jason Angelopoulos & Panagiota Leonardou & Petros Pallis, 2022. "Promoting Sustainability through Assessment and Measurement of Port Externalities: A Systematic Literature Review and Future Research Paths," Sustainability, MDPI, vol. 14(14), pages 1-20, July.
    6. Lingjie Tang & Chang’an Zhang, 2023. "Global Research on International Students’ Intercultural Adaptation in a Foreign Context: A Visualized Bibliometric Analysis of the Scientific Landscape," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Mohamad Issa & Adrian Ilinca & Fahed Martini, 2022. "Ship Energy Efficiency and Maritime Sector Initiatives to Reduce Carbon Emissions," Energies, MDPI, vol. 15(21), pages 1-37, October.
    8. Feliciano-Cestero, María M. & Ameen, Nisreen & Kotabe, Masaaki & Paul, Justin & Signoret, Mario, 2023. "Is digital transformation threatened? A systematic literature review of the factors influencing firms’ digital transformation and internationalization," Journal of Business Research, Elsevier, vol. 157(C).
    9. Tijan, Edvard & Jović, Marija & Aksentijević, Saša & Pucihar, Andreja, 2021. "Digital transformation in the maritime transport sector," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    10. Dharm Dev Bhatta & Muddassar Sarfraz & Larisa Ivascu & Marius Pislaru, 2023. "The Nexus of Corporate Affinity for Technology and Firm Sustainable Performance in the Era of Digitalization: A Mediated Model," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    11. Marija Jović & Edvard Tijan & Doroteja Vidmar & Andreja Pucihar, 2022. "Factors of Digital Transformation in the Maritime Transport Sector," Sustainability, MDPI, vol. 14(15), pages 1-18, August.
    12. Changhee Lee & Yulseong Kim & Youngran Shin, 2021. "Data Usage and the Legal Stability of Transactions for the Commercial Operation of Autonomous Vessels Based on Digital Ownership in Korean Civil Law," Sustainability, MDPI, vol. 13(15), pages 1-18, July.
    13. Concepta McManus & Abilio Afonso Baeta Neves & Alvaro Toubes Prata, 2021. "Scientific publications from non-academic sectors and their impact," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8887-8911, November.
    14. Filom, Siyavash & Amiri, Amir M. & Razavi, Saiedeh, 2022. "Applications of machine learning methods in port operations – A systematic literature review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    15. Rachid Oucheikh & Tuwe Löfström & Ernst Ahlberg & Lars Carlsson, 2021. "Rolling Cargo Management Using a Deep Reinforcement Learning Approach," Logistics, MDPI, vol. 5(1), pages 1-18, February.
    16. Büşra Ayan & Elif Güner & Semen Son-Turan, 2022. "Blockchain Technology and Sustainability in Supply Chains and a Closer Look at Different Industries: A Mixed Method Approach," Logistics, MDPI, vol. 6(4), pages 1-39, December.
    17. Zhang, Jinfen & Liu, Jiongjiong & Hirdaris, Spyros & Zhang, Mingyang & Tian, Wuliu, 2023. "An interpretable knowledge-based decision support method for ship collision avoidance using AIS data," Reliability Engineering and System Safety, Elsevier, vol. 230(C).
    18. Nayak, Bishwajit & Bhattacharyya, Som Sekhar & Krishnamoorthy, Bala, 2022. "Exploring the black box of competitive advantage – An integrated bibliometric and chronological literature review approach," Journal of Business Research, Elsevier, vol. 139(C), pages 964-982.
    19. Olushina Olawale Awe & Dennis Makafui Dogbey & Ronel Sewpaul & Derrick Sekgala & Natisha Dukhi, 2021. "Anaemia in Children and Adolescents: A Bibliometric Analysis of BRICS Countries (1990–2020)," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    20. Suneet Singh & Ashish Dwivedi & Saurabh Pratap, 2023. "Sustainable Maritime Freight Transportation: Current Status and Future Directions," Sustainability, MDPI, vol. 15(8), pages 1-23, April.
    21. Nguyen, Son & Fu, Xiuju & Ogawa, Daichi & Zheng, Qin, 2023. "An application-oriented testing regime and multi-ship predictive modeling for vessel fuel consumption prediction," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    22. P. V. Thayyib & Rajesh Mamilla & Mohsin Khan & Humaira Fatima & Mohd Asim & Imran Anwar & M. K. Shamsudheen & Mohd Asif Khan, 2023. "State-of-the-Art of Artificial Intelligence and Big Data Analytics Reviews in Five Different Domains: A Bibliometric Summary," Sustainability, MDPI, vol. 15(5), pages 1-38, February.
    23. Wohlleber, Annika & Münch, Christopher & Hartmann, Evi, 2022. "Prevailing technologies and adoption obstacles in maritime logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 559-588, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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