Araştırma Makalesi
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Yıl 2025, Sayı: 103, 359 - 384, 10.09.2025
https://izlik.org/JA88JH87KU

Öz

Kaynakça

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  • Akalan, K. (2025). Sürdürülebilir lojistik: Geleceğin ulaşım ve dağıtım modelleri. Tokat Gaziosmanpaşa Üniversitesi Turhal Uygulamalı Bilimler Fakültesi Dergisi, 3(1), 1-14.
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  • Al-Ababneh, H., Dalbouh, M., Alrhaimi, S., Siam, I., & Ibragimkhalilova, Т. (2023). Digitalization, innovation and marketing in logistics. Acta Logistica, 10(4), 615-624. https://doi.org/10.22306/al.v10i4.440
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  • Benzidia, S., Makaoui, N., & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological Forecasting and Social Change, 165, 120557. https://doi.org/10.1016/j.techfore.2020.120557
  • Bhowmik, O., Chowdhury, S., Ashik, J. H., Mahmud, G. I., Khan, M. M., & Hossain, N. U. I. (2024). Application of artificial intelligence in reverse logistics: A bibliometric and network analysis. Supply Chain Analytics, 100076. https://doi.org/10.1016/j.sca.2024.100076
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Dijital Teknoloji Odaklı Lojistik Rekabet Gücünün Bibliyometrik Analizi: Web of Science (WoS) ve SCOPUS Veritabanından Araştırma Trendleri

Yıl 2025, Sayı: 103, 359 - 384, 10.09.2025
https://izlik.org/JA88JH87KU

Öz

Dijital teknoloji odaklı lojistik, ulusların dijital dönüşüm süreçlerine uyum sağlama yeteneğiyle doğrudan ilişkilidir. Bu bağlamda, Nesnelerin İnterneti (IoT), büyük veri analitiği, yapay zekâ, blok zinciri ve otomasyon gibi dijital teknolojiler, lojistik süreçlerinde daha fazla şeffaflık, iyileştirilmiş operasyonel verimlilik ve müşteri taleplerine daha hızlı ve etkili yanıtlar sağlar. Teknoloji odaklı lojistiğin rekabet gücü, son yıllarda çeşitli sektörel uygulamalarda dikkat çeken önemli bir araştırma alanı olarak ortaya çıkmıştır. Bu çalışmada, WoS ve Scopus veri tabanlarından elde edilen veriler kullanılarak teknoloji odaklı lojistik rekabet gücü incelenmiştir. Bibliometrix ve Vosviewer yazılımları kullanılarak gerçekleştirilen analizde 3.519 yayın incelenmiştir. Bulgular, son yıllarda bu konuya olan ilginin arttığını göstermektedir. Lojistik odaklı incelemelerde vurgulanan temel konular arasında makine öğrenimi, blok zinciri, yapay zekâ, sürdürülebilirlik, IoT ve Endüstri 4.0 yer almaktadır. Bu tematik çerçeveler içindeki çalışmalar, Çin, Amerika Birleşik Devletleri ve Birleşik Krallık'ı lider ülkeler olarak belirlemiştir. Ek olarak, uluslararası iş birliklerinin analizi, bu uluslar arasındaki coğrafi ve politik yakınlığın önemini ortaya koymuştur. Bu çalışmanın sonuçları, politika yapıcılar, akademisyenler ve işletmeler için yararlı olan temel içgörüleri vurgulamak amacıyla görsel olarak tasvir edilebilir.

Kaynakça

  • Admoko, D. A., Darmawan, B., Ana, A., & Dwiyanti, V. (2024). A cluster-based bibliometric analysis of the emerging technological landscape in logistics using Vosviewer. Journal of Advanced Research in Applied Sciences and Engineering Technology 42(2), 234-249. https://doi.org/10.37934/araset.42.2.234249
  • Akalan, K. (2025). Sürdürülebilir lojistik: Geleceğin ulaşım ve dağıtım modelleri. Tokat Gaziosmanpaşa Üniversitesi Turhal Uygulamalı Bilimler Fakültesi Dergisi, 3(1), 1-14.
  • Akçacı, T., & Matyar Tanır, Y. (2025). Lojistik sektöründe dijital ikiz uygulamaları. Econder Uluslararası Akademik Dergi, 9(1), 96-115. https://doi.org/10.35342/econder.1693393
  • Al-Ababneh, H., Dalbouh, M., Alrhaimi, S., Siam, I., & Ibragimkhalilova, Т. (2023). Digitalization, innovation and marketing in logistics. Acta Logistica, 10(4), 615-624. https://doi.org/10.22306/al.v10i4.440
  • Andaloussi, M.B. (2024). a bibliometric literature review of digital supply chain: Trends, insights, and future directions. SAGE Open, 14(2). https://doi.org/10.1177/21582440241240340
  • Atzeni, G., Vignali, G., Tebaldi, L., & Bottani, E. (2021). A bibliometric analysis on collaborative robots in Logistics 4.0 environments. Procedia Computer Science, 180, 686-695. https://doi.org/10.1016/j.procs.2021.01.291
  • Augusto, M. G., Maas, J., Kosch, M., Henke, M., Küster, T., Straube, F., & Albayrak, S. (2025). Autonomous van and robot last-mile logistics platform: A reference architecture and proof of concept implementation. Logistics, 9(1), 1-15. https://doi.org/10.3390/logistics9010010
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BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE

Yıl 2025, Sayı: 103, 359 - 384, 10.09.2025
https://izlik.org/JA88JH87KU

Öz

The competitiveness of digital technology-driven logistics is directly related to the ability of nations to adapt to digital transformation processes. In this context, digital technologies such as the Internet of Things (IoT), big data analytics, artificial intelligence, blockchain, and automation enable greater transparency in logistics processes, improved operational efficiency, and a faster and more effective response to customer demands. The competitiveness of technology-focused logistics competitiveness logistics has emerged as a significant area of research in recent years, garnering attention across various sectoral applications. In this study, bibliometric analysis was employed to reviewed the technology-focused logistics competitiveness utilizing data from the WoS and Scopus databases. The analysis, performed using Bibliometrix and Vosviewer software, examined 3,519 publications. The findings indicate a growing interest in this subject in recent years. Key topics highlighted in logistics-focused reviews include machine learning, blockchain, artificial intelligence, sustainability, the IoT, and Industry 4.0. Studies within these thematic frameworks identified China, the United States, and the United Kingdom as the leading countries. Additionally, the analysis of international collaborations revealed the importance of geographical and political proximity among these nations. The results of this study can be visually depicted to highlight key insights beneficial for policymakers, academicians, and businesses.

Kaynakça

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  • Gupta, A., & Singh, R. K. (2024). Applications of emerging technologies in logistics sector for achieving circular economy goals during COVID 19 pandemic: analysis of critical success factors. International Journal of Logistics Research and Applications, 27(4), 451-472. https://doi.org/10.1080/13675567.2021.1985095
  • Iftikhar, A., Ali, I., Arslan, A. et al. (2024). Digital innovation, data analytics, and supply chain resiliency: A bibliometric-based systematic literature review. Ann Oper Res, 333, 825–848. https://doi.org/10.1007/s10479-022-04765-6
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  • Joshi, P., Gupta, A., Gupta, O., & Srivastava, S. K. (2023, November). Adoption of ai in logistics: A bibliometric analysis. In 2023 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), 708-712. IEEE. https://doi.org/10.1109/ICCCIS60361.2023.10425277
  • Kabak, Ö., Ekici, Ş. Ö., & Ülengin, F. (2020). Analyzing two-way interaction between the competitiveness and logistics performance of countries. Transport Policy, 98. https://doi.org/10.1016/j.tranpol.2019.10.007
  • Kálmán, B., & Tóth, A. (2021). Links between the economy competitiveness and logistics performance in the Visegrád Group countries: Empirical evidence for the years 2007-2018. Entrepreneurial Business and Economics Review, 9(3), 169–190. https://doi.org/10.15678/EBER.2021.090311
  • Kazancoglu, I., Ozbiltekin-Pala, M., Mangla, S. K., Kumar, A., & Kazancoglu, Y. (2023). Using emerging technologies to improve the sustainability and resilience of supply chains in a fuzzy environment in the context of COVID-19. Annals of Operations Research, 322(1), 217-240. https://doi.org/10.1007/s10479-022-04775-4
  • Kazemi, N., Modak, N. M., & Govindan, K. (2019). A review of reverse logistics and closed loop supply chain management studies published in IJPR: A bibliometric and content analysis. International Journal of Production Research, 57(15-16), 4937-4960. https://doi.org/10.1080/00207543.2018.1471244
  • Kubasáková, I., Kubáňová, J., Benčo, D., & Fábryová, N. (2024). Application of autonomous mobile robot as a substitute for human factor in order to increase efficiency and safety in a company. Applied Sciences, 14(13), 5859. https://doi.org/10.3390/app14135859
  • Kvak, K., & Straka, M. (2024). The use of the internet of things in the distribution logistics of consumables. Applied Sciences, 14(8), 3263. https://doi.org/10.3390/app14083263
  • Lam, H., Tang, V., & Wong, L. (2024). Raising logistics performance to new levels through digital transformation. International Journal of Engineering Business Management, 16, 1-20. https://doi.org/10.1177/18479790241231730
  • Lehman, C. D., Wellman, R. D., Buist, D. S. M., Kerlikowske, K., Tosteson, A. N. A., & Miglioretti, D. L. (2015). Diagnostic accuracy of digital screening mammography with and without computer-aided detection. JAMA Internal Medicine, 175(11), 1828. https://doi.org/10.1001/jamainternmed.2015.5231
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  • Malik, R. S., Srivastava, M. K., & Shaikh, I. (2021). Modeling enablers of transporter’s performance in downstream logistics of the Indian oil sector. Advances in Operations Research, 1(22). 1-22. https://doi.org/10.1155/2021/1654326
  • Mekonen, Z. T., Cho, D. J., Nadeem, S. P., Garza-Reyes, J. A., & Fenta, T. G. (2024). Vaccine logistics management information system at public health facilities in Amhara region, Ethiopia: A performance evaluation. Healthcare Informatics Research, 30(4), 375–386. https://doi.org/10.4258/hir.2024.30.4.375
  • Merenkov, A. (2018). Digital economy: Transport management and intelligent transportation systems. E-Management, 1, 12–18. https://doi.org/10.26425/2658-3445-2018-1-12-18
  • Merigó, J. M., & Yang, J. B. (2017). A bibliometric analysis of operations research and management science. Omega, 73, 37-48. https://doi.org/10.1016/j.omega.2016.12.004
  • Mullen, T. R., Kothe, C. A. E., Chi, Y. M., Ojeda, A., Kerth, T., Makeig, S., Jung, T.-P., & Cauwenberghs, G. (2015). Real-time neuroimaging and cognitive monitoring using wearable dry EEG. IEEE Transactions on Biomedical Engineering, 62(11), 2553–2567. https://doi.org/10.1109/TBME.2015.2481482
  • Müßigmann, B., von der Gracht, H., & Hartmann, E. (2020). Blockchain technology in logistics and supply chain management—A bibliometric literature review from 2016 to January 2020. IEEE transactions on engineering management, 67(4), 988-1007. https://doi.org/10.1109/TEM.2020.2980733
  • Mutambik, I. (2024). The role of strategic partnerships and digital transformation in enhancing supply chain agility and performance. Systems, 12(11), 456. https://doi.org/10.3390/systems12110456
  • Ninkov, A., Frank, J. R., & Maggio, L. A. (2021). Bibliometrics: methods for studying academic publishing. Perspectives on Medical Education, 11, 1-4. https://doi.org/10.1007/s40037-021-00695-4
  • Özekenci, E. K. (2023). Bibliometric analysis of articles published on the web of science (wos) database on sustainable trade and green logistics. Akademik Yaklaşımlar Dergisi, 14(1), 346-369. https://doi.org/10.54688/ayd.1244511
  • Özkan, H. (2025). Soğuk zincir ürünlerinin deniz lojistiğinde maliyet optimizasyonu: Batı Akdeniz bölgesinde doğrusal programlama ve en küçük maliyet yöntemi karşilaştirmasi. EKEV Akademi Dergisi, (102), 174-190. https://doi.org/10.17753/sosekev.1619890
  • Özmen, M. (2019). Logistics competitiveness of OECD countries using an improved TODIM method. Sādhanā, 44(5), 108. https://doi.org/10.1007/s12046-019-1088-y
  • Öztürk, O., Kocaman, R., & Kanbach, D. K. (2024). How to design bibliometric research: An overview and a framework proposal. Reviews of Management Sciences, 18, 3333–3361. https://doi.org/10.1007/s11846-024-00738-0
  • Pozzo, D. N., Correa, K. R., Madrid, A. I. C., Campo, C. J. C., Donado, M. E. G., & Biegelmeyer, U. H. (2022). Logistics 4.0: a review of current trends using bibliometric analysis. Procedia Computer Science, 203, 531-536. https://doi.org/10.1016/j.procs.2022.07.075
  • Raamets, T., Majak, J., Karjust, K., Mahmood, K., & Hermaste, A. (2024). Autonomous mobile robots for production logistics: A process optimization model modification. Proceedings of the Estonian Academy of Sciences, 73(2), 134. https://doi.org/10.3176/proc.2024.2.06
  • Rahman, Md. H., Menezes, B. C., & Baldacci, R. (2024). Exploring the role of blockchain technology, warehouse automation, smart routing, and cloud computing in logistics performance. Production & Manufacturing Research, 12(1), 1-24. https://doi.org/10.1080/21693277.2024.2393614
  • Ran, L., Shi, Z., & Geng, H. (2024). Blockchain technology for enhanced efficiency in logistics operations. IEEE Access, 12, 152873–152885. https://doi.org/10.1109/ACCESS.2024.3458434
  • Rejeb, A., Rejeb, K., Simske, S., & Treiblmaier, H. (2021). Blockchain technologies in logistics and supply chain management: a bibliometric review. Logistics, 5(4), 72. https://doi.org/10.3390/logistics5040072 Remondino, M., & Zanin, A. (2022). Logistics and agri-food: digitization to increase competitive advantage and sustainability. literature review and the case of Italy. Sustainability, 14(2), 787. https://doi.org/10.3390/su14020787 Ren, R., Hu, W., Dong, J., Sun, B., Chen, Y., & Chen, Z. (2020). A systematic literature review of green and sustainable logistics: Bibliometric analysis, research trend and knowledge taxonomy. International journal of environmental research and public health, 17(1), 261. https://doi.org/10.3390/ijerph17010261
  • Roodbergen, K. J., & Vis, I. F. A. (2009). A survey of literature on automated storage and retrieval systems. European Journal of Operational Research, 194(2), 343–362. https://doi.org/10.1016/j.ejor.2008.01.038
  • Saha, J., & Sarma, T. R. (2024). Investigating the transformative effect of technological and service innovations on postal sector adaptability during the pandemic disruption in India. International Journal of Innovation, e26161. https://doi.org/10.5585/2024.26161
  • Şahin, E., Özdemir, Y., Yıldırım, M., & Kavak, H. (2025). Endüstri 4.0 uygulamalarinin lojistik sektörüne etkisi: Literatür taramasi. Beykent Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, 17(2), 57-74. https://doi.org/10.20854/bujse.1480026
  • Sahu, P. K., Pani, A., & Santos, G. (2022). Freight traffic impacts and logistics inefficiencies in India: Policy interventions and solution concepts for sustainable city logistics. Transportation in Developing Economies, 8(2), 31. https://doi.org/10.1007/s40890-022-00161-8
  • Şener, U., Çaldağ, M. T., & Gökalp, E. (2025). Blok zincir temelli tedarik zinciri yönetimi ve lojistik sistemlerinin olgunluk değerlendirmesi: Kapsamli bir sistematik literatür taramasi. Kamu Yönetimi ve Teknoloji Dergisi, 7(2), 150-166.
  • Su, Q., Shi, Y., Gao, Y., Arthanari, T., & Wang, M. (2024). The Improvement of logistics management in China: A study of the risk perspective. Sustainability, 16(15), 6688. https://doi.org/10.3390/su16156688
  • Susitha, E., Jayarathna, A., & Herath, H.M.R.P (2024). Supply chain competitiveness through agility and digital technology: A bibliometric analysis. Supply Chain Analytics, 7, 100073. https://doi.org/10.1016/j.sca.2024.100073
  • Tümenbatur, A. (2025). Lojistik 4.0 ve hiper bağlantili kentsel lojistik. Ulaştırma ve Altyapı, (2), 76-92.
  • Ugochukwu, N. A., Goyal, S. B., Rajawat, A. S., Verma, C., & Illés, Z. (2024). Enhancing logistics with the internet of things: A secured and efficient distribution and storage model utilizing blockchain innovations and interplanetary file system. IEEE Access, 12, 4139–4152. https://doi.org/10.1109/ACCESS.2023.3339754
  • Valenzuela-Cobos, A., Vera-Cabanilla, B., Castillo-Heredia, L., & Valenzuela-Cobos, J. (2025). Industry 4.0 in logistics management in Latin America: A bibliometric review. Journal of Industrial Engineering and Management, 18(1), 115-129. https://doi.org/10.3926/jiem.8147
  • Verbivska, L., Zhygalkevych, Z., Fisun, Y., Chobitok, I. O. & Shvedkyi, V. (2023). Digital technologies as a tool of efficient logistics. Revista de la Universidad del Zulia. Ciencias sociales y arte. https://doi.org/10.46925//rdluz.39.28
  • Waheed, H., Hassan, S.-U., Aljohani, N. R., Hardman, J., Alelyani, S., & Nawaz, R. (2020). Predicting academic performance of students from VLE big data using deep learning models. Computers in Human Behavior, 104, 106189. https://doi.org/10.1016/j.chb.2019.106189
  • Wang, J., Lim, M. K., Wang, C., & Tseng, M. L. (2023). Comprehensive analysis of sustainable logistics and supply chain based on bibliometrics: overview, trends, challenges, and opportunities. International Journal of Logistics Research and Applications, 26(10), 1285-1314. https://doi.org/10.1080/13675567.2022.2052823
  • Wang, Y., & Sarkis, J. (2021). Emerging digitalisation technologies in freight transport and logistics: Current trends and future directions. Transportation Research Part E: Logistics and Transportation Review, 148, 102291. https://doi.org/10.1016/j.tre.2021.102291
  • Web of Science (WoS). (2025). Digital technology-driven logistics competitiveness-based database. Retrieved from: https://www.webofscience.com (12.03.2025).
  • Worldbank. (2025). World development indicators database. Retrieved from: https://databank.worldbank.org (13.03.2025).
  • Xiao, Q., & Khan, M. S. (2024). Exploring factors influencing supply chain performance: Role of supply chain resilience with mixed method approach empirical evidence from the Chinese healthcare Sector. Cogent Business & Management, 11(1), 1-29. https://doi.org/10.1080/23311975.2023.2287785
  • Xie, Y., & Hu, R. (2024). Assessing the technical efficiency performance of Chinese ports logistics: Evidence from the DEA and fsQCA. Plos one, 19(4), e0300655.
  • Yeşilyaprak, M., & Akıncı E. (2025). Dijitalleşmenin sürdürebilirlik üzerindeki etkisi: Lojistik sektörü. Beykoz Akademi Dergisi, 13(1), 569-587. https://doi.org/10.14514/beykozad.1619307
  • Zheng, Z. (2024). Under the context of smart agriculture: assessment of agricultural product distribution efficiency in various regions of China. Frontiers in Sustainable Food Systems, 8, 1-9. https://doi.org/10.3389/fsufs.2024.1389763
  • Zrelli, I., & Rejeb, A. (2024). A bibliometric analysis of IoT applications in logistics and supply chain management. Heliyon, 10(16), 1-22. https://doi.org/10.1016/j.heliyon.2024.e36578
  • Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629
Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ekonomi, İşletme ve Yönetim Müfredatı ve Öğretimi
Bölüm Araştırma Makalesi
Yazarlar

İlker İbrahim Avşar 0000-0003-2991-380X

Emre Kadir Özekenci 0000-0001-6669-0006

Gönderilme Tarihi 14 Nisan 2025
Kabul Tarihi 23 Ağustos 2025
Erken Görünüm Tarihi 2 Eylül 2025
Yayımlanma Tarihi 10 Eylül 2025
DOI https://doi.org/10.17753/sosekev.1675943
IZ https://izlik.org/JA88JH87KU
Yayımlandığı Sayı Yıl 2025 Sayı: 103

Kaynak Göster

APA Avşar, İ. İ., & Özekenci, E. K. (2025). BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE. EKEV Akademi Dergisi, 103, 359-384. https://doi.org/10.17753/sosekev.1675943