Dergiler / Journal of Transportation and Logistics / 2026 / Volume: 10 Issue: 1

Word Cloud Analysis of Special Issues in Maritime Transportation Journals

Bayram Bilge Sağlam(Dokuz Eylül University, Mairitime Faculty, Maritime Business and Administration Department)0000-0003-4977-1634
Sayfa
—
Yayın Tarihi
2025-05-06
🏛️Bu makalenin bibliyografik verileri ve tam metin bağlantısı DergiPark üzerinden sağlanmıştır.
DergiPark Kaydı ↗
✨

Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Besides demonstrating the trends in maritime transportation research, this article also proposes a method to conduct a word cloud-based preliminary analysis, aiding researchers in detecting current themes to direct their academic focus.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:Due to the dynamic structure of maritime transportation, research in this field must proceed in parallel with current sectoral developments.
📊
Temel Bulgular & Veri:To conduct word cloud analysis on special topics in maritime transportation-related journals, 353 articles in 73 special issues of 17 journals published between 2013-2023 were compiled.
💡
Sonuç & Katkı:Besides demonstrating the trends in maritime transportation research, this article also proposes a method to conduct a word cloud-based preliminary analysis, aiding researchers in detecting current themes to direct their academic focus.
🔬Tür:Research Article
📍Kapsam:2013-2023 Verileri
⚙️Değişkenler:Maritime Transportation · Special Issues · Word Cloud

Abstract

Due to the dynamic structure of maritime transportation, research in this field must proceed in parallel with current sectoral developments. In this sense, the regular issues of maritime transportation-themed academic journals undoubtedly contribute to sectoral development. However, unlike regular issues, journal special issues, which direct the research focus of the scientific community with thematic calls that reflect sectoral development, undertake a valuable function in order to produce rapid scientific solutions to the sectoral needs. Therefore, an examination of the articles brought together in special issues can be used to follow the emerging themes in the relevant field. To conduct word cloud analysis on special topics in maritime transportation-related journals, 353 articles in 73 special issues of 17 journals published between 2013-2023 were compiled. By interpreting the word clouds obtained from the titles and keywords of relevant publications, the themes that came to the fore were identified. Findings show that words related to environmental sustainability, China’s Belt and Road Initiative, risk management and network design are the prominent themes. Besides demonstrating the trends in maritime transportation research, this article also proposes a method to conduct a word cloud-based preliminary analysis, aiding researchers in detecting current themes to direct their academic focus.

🔖

Bu Makaleye Atıf Yap

Sağlam, B. B. (2025). Word Cloud Analysis of Special Issues in Maritime Transportation Journals. Journal of Transportation and Logistics, Volume: 10 Issue: 1. https://doi.org/10.26650/JTL.2025.1545705

📄 Tam Metin PDF Okuyucu

📄

PDF görüntüleyici hazırlanıyor...

Kaynakça (22)

  1. Abazi-Bexheti, L., Kadriu, A., & Apostolova, M. (2020). Word cloud analytics of the computer science research publications’ titles over the past half century. In 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) (pp. 887-892). IEEE. google scholar
  2. Akpinar, H., & Özer-Çaylan, D. (2023). Organizational resilience in maritime business: A systematic literature review. Management Research Review, 46(2), 245-267. https://doi.org/10.1108/MRR-12-2021-0866 google scholar
  3. Alam, A., Mellinia, R., Ratnasari, R. T., & Ma’aruf, A. (2023). A systematic review of halal hotels: A word cloud and thematic analysis of articles from the Scopus database. International Journal of Advanced and Applied Sciences, 10(8), 166-175. https://doi.org/10. 21833/ijaas.2023.08.019 google scholar
  4. Almklov, P. G., & Lamvik, G. M. (2018). Taming a globalized industrY-Forces and counter forces influencing maritime safetY. Marine Policy, 96, 175-183. https://doi.org/10.1016/j.marpol.2018.08.023 google scholar
  5. An, J. (2024). Maritime logistics and digital transformation with big data: Review and research trend. Maritime Business Review, 9(3), 229-242. https://doi.org/10.1108/MABR-10-2023-0069 google scholar
  6. Argento, D., & van Helden, J. (2022). Are public sector accounting researchers going through an identitY shift due to the increasing importance of journal rankings? Critical Perspectives on Accounting, 102537. https://doi.org/10.1016/j.cpa.2022.102537 google scholar
  7. Bai, X., Zhang, X., Li, K. X., Zhou, Y., & Yuen, K. F. (2021). Research topics and trends in the maritime transport: A structural topic model. Transport Policy, 102, 11-24. https://doi.org/10.1016/j.tranpol.2020.12.013 google scholar
  8. Brindha, T., & Murugesapandian, N. (2016). Scientometrics tools and techniques: An overview. Shanlax International Journal of Arts, Science & Humanities, 4(2), 90-92. google scholar
  9. Cerit, A. (2000). Maritime transport as an area of competitive advantage in international marketing. Maritime Economics & Logistics, google scholar
  10. 2(1), 49-67. https://doi.Org/l0.1057/ijme.2000.6 google scholar
  11. Farris, M. T. (1997). Evolution of academic concerns with transportation and logistics. Transportation Journal, 37(1), 42-50. google scholar
  12. Herbert, R. (2020). Accept me, accept me not: What do journal acceptance rates really mean? Available at SSRN: https://ssrn.com/ abstract=3526365 google scholar
  13. Kalmukov, Y. (2021). Using word clouds for fast identification of papers' subject domain and reviewers' competences. arXiv. https://arxiv. org/abs/2112.14861 google scholar
  14. Knöchelmann, M., Hesselmann, F., Reinhart, M., & Schendzielorz, C. (2022). The rise of the guest editor—Discontinuities of editorship in scholarly publishing. Frontiers in Research Metrics and Analytics, 6, 748171. google scholar
  15. Kuckartz, U., & Radiker, S. (2019). Analyzing qualitative Data with MAXQDA. Cham: Springer International Publishing. google scholar
  16. Larsen, P., & von Ins, M. (2010). The rate of growth in scientific publication and the decline in coverage provided by science citation index. Scientometrics, 84(3), 575-603. https://doi.org/10.1007/s11192-010-0202-z google scholar
  17. Linton, J. D., Tierney, R., & Walsh, S. T. (2012). What are research expectations? A comparative study of different academic disciplines. google scholar
  18. Serials Review, 38(4), 228-234. https://doi.org/10.1016/j.serrev.2012.10.001 google scholar
  19. Mingers, J., & Leydesdorff, L. (2015). A review of theory and practice in scientometrics. European Journal of Operational Research, 246(1), 1-19. https://doi.org/10.1016/j.ejor.2015.04.002 google scholar
  20. Shin, S. H., Kwon, O. K., Ruan, X., Chhetri, P., Lee, P. T. W., & Shahparvari, S. (2018). Analyzing sustainability literature in maritime studies with text mining. Sustainability, 10(10), 3522. https://doi.org/10.3390/su10103522 google scholar
  21. Taylor & Francis Online. (2023). Maritime policy & management: Journal information. Retrieved from https://www.tandfonline.com/ action/journalInformation?journalCode=tmpm20 google scholar
  22. Thakur, K., & Kumar, V. (2022). Application of text mining techniques on scholarly research articles: Methods and tools. New Review of AcaDemic Librarianship, 28(3), 279-302. https://doi.org/10.1080/13614533.2021.1918190 google scholar