IDEAS home Printed from https://ideas.repec.org/r/taf/marpmg/v47y2020i5p577-597.html

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

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


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. 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.
  3. Sourav Mondal & Saumya Singh, 2025. "A bibliometric and thematic analysis of green entrepreneurship in business research: current status and future research directions," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(1), pages 67-139, January.
  4. Marino-Romero, Jorge Alberto & Palos-Sánchez, Pedro R. & Velicia-Martín, Félix, 2024. "Evolution of digital transformation in SMEs management through a bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  5. 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.
  6. 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.
  7. Nizar, Irfan & Amarasena, Sudath Manjula & Priyantha Lalanie, P., 2025. "Steering towards carbon neutral transportation practices: A comprehensive analysis of the challenges confronting the shipping industry in Sri Lanka," Renewable and Sustainable Energy Reviews, Elsevier, vol. 215(C).
  8. Li, Huanhuan & Xing, Wenbin & Jiao, Hang & Yuen, Kum Fai & Gao, Ruobin & Li, Yan & Matthews, Christian & Yang, Zaili, 2024. "Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
  9. 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.
  10. 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.
  11. Ioannis N. Theotokas & Ioannis N. Lagoudis & Konstantina Raftopoulou, 2024. "Correction: Challenges of maritime human resource management for the transition to shipping digitalization," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-1, December.
  12. 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).
  13. 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.
  14. 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.
  15. 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.
  16. Zhao, Guoqing & Xie, Xiaotian & Wang, Yi & Liu, Shaofeng & Jones, Paul & Lopez, Carmen, 2024. "Barrier analysis to improve big data analytics capability of the maritime industry: A mixed-method approach," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
  17. 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.
  18. 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.
  19. 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.
  20. 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).
  21. Marc-Antoine Faure & César Ducruet, 2025. "Shipping Network Research: A Systematic and Quantitative Review," EconomiX Working Papers 2025-27, University of Paris Nanterre, EconomiX.
  22. Yang, Ying & Liu, Yang & Li, Guorong & Zhang, Zekun & Liu, Yanbin, 2024. "Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
  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.
  24. 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.
  25. Mahdi Jahangard & Ying Xie & Yuanjun Feng, 2025. "Leveraging machine learning and optimization models for enhanced seaport efficiency," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 27(4), pages 710-751, December.
  26. Shakil, Mohammad Hassan, 2024. "Environmental, social and governance controversies: A bibliometric review and research agenda," Finance Research Letters, Elsevier, vol. 70(C).
  27. Wang, Ruihan & Shang, Tianyu & Yang, Dong & Yan, Ran, 2025. "Empowering econometric methods with machine learning for policy making: A comparative study in maritime transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 200(C).
  28. Kelly Gerakoudi & Georgios Kokosalakis & Peter J. Stavroulakis, 2024. "A machine learning approach towards reviewing the role of ‘Internet of Things’ in the shipping industry," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-29, December.
  29. Wu, Min & Tsai, Nien En & Koh, Le Yi & Yuen, Kum Fai, 2025. "Maritime AI socialisation: Exploring the impact of digital enablers on human-AI collaboration and service and process innovation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 197(C).
  30. Anas Iftikhar & Imran Ali & Ahmad Arslan & Shlomo Tarba, 2024. "Digital Innovation, Data Analytics, and Supply Chain Resiliency: A Bibliometric-based Systematic Literature Review," Annals of Operations Research, Springer, vol. 333(2), pages 825-848, February.
  31. Merlyn Tjimuku & Sulaiman Olusegun Atiku, 2024. "Mapping Emotional Intelligence and Psychological Capital Research: A Bibliometric Analysis and Future Research Agenda," Businesses, MDPI, vol. 4(2), pages 1-24, April.
  32. David Mhlanga & Mufaro Dzingirai, 2024. "Bibliometric study on organizational resilience: trends and future research agenda," International Journal of Corporate Social Responsibility, Springer, vol. 9(1), pages 1-12, December.
  33. Tymoteusz Miller & Irmina Durlik & Ewelina Kostecka & Polina Kozlovska & Andrzej Jakubowski & Adrianna Łobodzińska, 2024. "Waste Heat Utilization in Marine Energy Systems for Enhanced Efficiency," Energies, MDPI, vol. 17(22), pages 1-29, November.
  34. Bogdan Florian Socoliuc & Florin Nicolae & Doru Alexandru Pleșea & Andrei Alexandru Suciu, 2024. "EU Maritime Industry Blue-Collar Recruitment: Sustainable Digitalization," Sustainability, MDPI, vol. 16(20), pages 1-25, October.
  35. Damoon Razmjooei & Moslem Alimohammadlou & Habib-Allah Ranaei Kordshouli & Kazem Askarifar, 2024. "A bibliometric analysis of the literature on circular economy and sustainability in maritime studies," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(3), pages 5509-5536, March.
  36. 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).
  37. 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.
  38. Benjamin Mosses Sakita & Berit Irene Helgheim & Svein Bråthen, 2024. "The Principal-Agent Theoretical Ramifications on Digital Transformation of Ports in Emerging Economies," Logistics, MDPI, vol. 8(2), pages 1-39, May.
  39. 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.
  40. 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).
  41. 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.
  42. Fuentes, Gabriel & Munim, Ziaul Haque, 2025. "Climate influence on Panama Canal operations: Predicting canal water times with integrated environmental and operational data," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 203(C).
  43. Mingjie Fang & Kum Fai Yuen & Diancen Xie & Xueqin Wang & Qiwei Pang, 2026. "Are we on the same page? Effects of sustainability orientation (in)congruence on sustainable shipping performance," Operations Management Research, Springer, vol. 19(1), pages 1-18, March.
  44. 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).
  45. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.