BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE

İlker İbrahim Avşar; Emre Kadir Özekenci

doi:10.17753/sosekev.1675943

TR EN

Öz

Dijital Teknoloji Odaklı Lojistik Rekabet Gücünün Bibliyometrik Analizi: Web of Science (WoS) ve SCOPUS Veritabanından Araştırma Trendleri

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.

Anahtar Kelimeler

Dijital Teknoloji, Lojistik, Rekabetçilik, Bibliyometrik

BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE

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.

Anahtar Kelimeler

Digital Technology, Logistics, Competitiveness, Bibliometrics

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
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
Bien, N., Rajpurkar, P., Ball, R. L., Irvin, J., Park, A., Jones, E., Bereket, M., Patel, B. N., Yeom, K. W., Shpanskaya, K., Halabi, S., Zucker, E., Fanton, G., Amanatullah, D. F., Beaulieu, C. F., Riley, G. M., Stewart, R. J., Blankenberg, F. G., Larson, D. B., … Lungren, M. P. (2018). Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet. PLOS Medicine, 15(11), e1002699. https://doi.org/10.1371/journal.pmed.1002699

Bigliardi, B., Casella, G., & Bottani, E. (2021). Industry 4.0 in the logistics field: A bibliometric analysis. IET Collaborative Intelligent Manufacturing, 3(1), 4-12. https://doi.org/10.1049/cim2.12015
Bui, M.-T., Jeng, D. J.-F., & Ta, H. H. (2024). Accelerating digital supply chain management practices, customer development, and firm performance: Organizational culture matters. Contemporary Economics, 18(1), 40–66. https://doi.org/10.5709/ce.1897-9254.525
Cano, J. A., Londoño-Pineda, A., & Rodas, C. (2022). Sustainable logistics for e-commerce: A literature review and bibliometric analysis. Sustainability, 14(19), 12247. https://doi.org/10.3390/su141912247
Chung, S. H. (2021). Applications of smart technologies in logistics and transport: A review. Transportation Research Part E: Logistics and Transportation Review, 153, 102455. https://doi.org/10.1016/j.tre.2021.102455
Ciang, C. C., Lee, J.-R., & Bang, H.-J. (2008). Structural health monitoring for a wind turbine system: a review of damage detection methods. Measurement Science and Technology, 19(12), 122001. https://doi.org/10.1088/0957-0233/19/12/122001
Danach, K., Dirani, A. El, & Rkein, H. (2024). Revolutionizing supply chain management with AI: A path to efficiency and sustainability. IEEE Access, 12, 188245–188255. https://doi.org/10.1109/ACCESS.2024.3474531
Daškevič, D., & Burinskiene, A. (2024). The investigation on the application of digital technologies for logistics business competitiveness. Tehnički Glasnik, 18(4), 626–637. https://doi.org/10.31803/tg-20230922182645
Dindarik, N., & Fidan, Y. (2025). The analysis of the impact of companies’ logistics 4.0 awareness on digital transformation and logistics capabilities. AJIT-E: Academic Journal of Information Technology, 16(1), 1-31. https://doi.org/10.5824/ajite.2025.01.001.x
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 1-12. https://doi.org/10.1016/j.jbusres.2021.04.070
Ekici, Ş. Ö., Kabak, Ö., & Ülengin, F. (2016). Linking to compete: Logistics and global competitiveness interaction. Transport Policy, 48. https://doi.org/10.1016/j.tranpol.2016.01.015
Epe, M., Azmat, M., Islam, D. M. Z., & Khalid, R. (2024). Use of smart glasses for boosting warehouse efficiency: implications for change management. Logistics, 8(4), 106. https://doi.org/10.3390/logistics8040106
Erceg, A., & Sekuloska, J. D. (2019). E-logistics and e-SCM: How to increase competitiveness. LogForum, 15(1), 155-169. https://doi.org/10.17270/j.log.2019.323
Fenton, J. J., Taplin, S. H., Carney, P. A., Abraham, L., Sickles, E. A., D’Orsi, C., Berns, E. A., Cutter, G., Hendrick, R. E., Barlow, W. E., & Elmore, J. G. (2007). Influence of computer-aided detection on performance of screening mammography. New England Journal of Medicine, 356(14), 1399–1409. https://doi.org/10.1056/NEJMoa066099
Genç, E., & Çakan, M. (2025). Türkiye’de lojistik sektörü çalışanlarının akıllı lojistik teknolojilerine karşı tutumu. Journal of Transportation and Logistics, 10(1), 131-151. https://doi.org/10.26650/JTL.2025.1581476
Grant, F. D., Fahey, F. H., Packard, A. B., Davis, R. T., Alavi, A., & Treves, S. T. (2008). Skeletal PET with 18 F-Fluoride: applying new technology to an old tracer. Journal of Nuclear Medicine, 49(1), 68–78. https://doi.org/10.2967/jnumed.106.037200
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
Jha, A. K., DesRoches, C. M., Campbell, E. G., Donelan, K., Rao, S. R., Ferris, T. G., Shields, A., Rosenbaum, S., & Blumenthal, D. (2009). Use of electronic health records in U.S. hospitals. New England Journal of Medicine, 360(16), 1628–1638. https://doi.org/10.1056/NEJMsa0900592
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
Lyu, J., Zhou, F., & He, Y. (2023). Digital technique-enabled container logistics supply chain sustainability achievement. Sustainability, 15(22), 16014. https://doi.org/10.3390/su152216014
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

Ayrıntılar

Birincil Dil

İngilizce

Konular

Ekonomi, İşletme ve Yönetim Müfredatı ve Öğretimi

Bölüm

Araştırma Makalesi

Yazarlar

İlker İbrahim Avşar
0000-0003-2991-380X
Türkiye

Emre Kadir Özekenci ^*
0000-0001-6669-0006
Türkiye

Erken Görünüm Tarihi

2 Eylül 2025

Yayımlanma Tarihi

10 Eylül 2025

Gönderilme Tarihi

14 Nisan 2025

Kabul Tarihi

23 Ağustos 2025

Yayımlandığı Sayı

Yıl 2025 Sayı: 103

DOI

https://doi.org/10.17753/sosekev.1675943

IZ

https://izlik.org/JA88JH87KU

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

AMA

1.Avşar İİ, Özekenci EK. BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE. EKEV Akademi Dergisi. 2025;(103):359-384. doi:10.17753/sosekev.1675943

Chicago

Avşar, İlker İbrahim, ve Emre Kadir Özekenci. 2025. “BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE”. EKEV Akademi Dergisi, sy 103: 359-84. https://doi.org/10.17753/sosekev.1675943.

EndNote

Avşar İİ, Özekenci EK (01 Eylül 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.

IEEE

[1]İ. İ. Avşar ve E. K. Özekenci, “BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE”, EKEV Akademi Dergisi, sy 103, ss. 359–384, Eyl. 2025, doi: 10.17753/sosekev.1675943.

ISNAD

Avşar, İlker İbrahim - Özekenci, Emre Kadir. “BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE”. EKEV Akademi Dergisi. 103 (01 Eylül 2025): 359-384. https://doi.org/10.17753/sosekev.1675943.

JAMA

1.Avşar İİ, Özekenci EK. BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE. EKEV Akademi Dergisi. 2025;:359–384.

MLA

Avşar, İlker İbrahim, ve Emre Kadir Özekenci. “BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE”. EKEV Akademi Dergisi, sy 103, Eylül 2025, ss. 359-84, doi:10.17753/sosekev.1675943.

Vancouver

1.İlker İbrahim Avşar, Emre Kadir Özekenci. BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE. EKEV Akademi Dergisi. 01 Eylül 2025;(103):359-84. doi:10.17753/sosekev.1675943

Öz

Dijital Teknoloji Odaklı Lojistik Rekabet Gücünün Bibliyometrik Analizi: Web of Science (WoS) ve SCOPUS Veritabanından Araştırma Trendleri

Öz

Anahtar Kelimeler

BIBLIOMETRIC ANALYSIS OF DIGITAL TECHNOLOGY-DRIVEN LOGISTICS COMPETITIVENESS: RESEARCH TRENDS FROM THE WEB OF SCIENCE (WOS) AND SCOPUS DATABASE

Öz

Anahtar Kelimeler

Kaynakça

Ayrıntılar

Birincil Dil

Konular

Bölüm

Yazarlar

Erken Görünüm Tarihi

Yayımlanma Tarihi

Gönderilme Tarihi

Kabul Tarihi

Yayımlandığı Sayı

DOI

IZ

Kaynak Göster