Bibliyometrik Analiz Yoluyla Soğuk Zincir Lojistiği Alanındaki Araştırmaların İncelenmesi

Yıl 2026, Cilt: 21 Sayı: Special Issue on 24th International Business Congress, 117 - 144, 27.03.2026

Giray Yiğit Kolcubaşı , Meltem Kolcubaşı , Müge Büber

https://doi.org/10.19168/jyasar.1749731

https://izlik.org/JA97UF27WL

Öz

Gıda ve ilaç gibi kolay bozulabilen ürünlerin kalitesinin ve güvenliğinin tedarik zinciri boyunca optimum sıcaklık koşulları göz önünde bulundurularak sağlanması gerekliliği soğuk zincir lojistiğini hayati öneme sahip bir süreç haline getirmektedir. Bu durum, sınırlı sayıda araştırmacı tarafından ele alınan soğuk zincir lojistiğine ilişkin araştırma boşluklarının belirlenmesini, işbirliği ağlarının görselleştirilmesini ve bilimsel katkıların ortaya konmasını mümkün hale getiren bibliyometrik analiz yaklaşımını alanın gelişimine katkı sunacak önemli bir yöntem olarak öne çıkarmaktadır. Bibliyometrik analiz yaklaşımının soğuk zincir lojistiği alanına sunacağı bu anlamlı katkıdan hareketle, bu çalışmada Web of Science (WoS) veritabanından elde edilen verilere dayalı olarak, 2010 ile 2024 yılları arasında yayımlanmış olan 911 adet makale için; atıf analizi ve anahtar kelime sıklığı analizlerini de kapsayan betimsel ve haritalama analizleri gerçekleştirilmiştir. VOSviewer gibi bibliyometrik araçlardan yararlanılarak oluşturulan bu çalışma, özellikle COVID-19 pandemisi sonrasında soğuk zincir lojistiği araştırmalarında önemli bir artış olduğunu göstermekte ve alana ilişkin önemli katkıların sürdürülebilirlik, teknolojik yenilikler ve halk sağlığı lojistiği alanlarında yoğunlaştığını ortaya koymaktadır. Akademisyenler ve uygulayıcılar için sürdürülebilir ve verimli soğuk zincir lojistiği yaklaşımlarının geliştirilmesine katkıda bulunan bu çalışmada, alanın gelişimine ilişkin olarak baskın araştırma temaları, etkili yazarlar ve ortaya çıkan eğilimler de sunulmuştur.

Anahtar Kelimeler

Soğuk Zincir Lojistiği , Dağıtım Kanalı , Bibliyometrik Analiz , Bilgi Haritalama , Ortak Atıf Analizi

Exploring Research on Cold Chain Logistics through Bibliometric Analysis

https://izlik.org/JA97UF27WL

Öz

The need to maintain the quality and safety of perishable products such as food and pharmaceuticals under optimal temperature conditions throughout the supply chain makes cold chain logistics a critical process. This has highlighted the importance of bibliometric analysis as a method for identifying research gaps in cold chain logistics, visualizing collaboration networks, and showcasing scientific contributions, all of which contribute to the development of the field. Based on this significant contribution of bibliometric analysis to the field of cold chain logistics, this study conducts descriptive and mapping analyses, including citation analysis and keyword frequency analysis, for 911 articles published between 2010 and 2024, using data obtained from the Web of Science (WoS) database. Utilizing bibliometric tools such as VOSviewer, this study demonstrates a significant increase in cold chain logistics research, particularly following the COVID-19 pandemic, and reveals that key contributions in the field focus on sustainability, technological innovations, and public health logistics. This study, which contributes to the development of sustainable and efficient cold chain logistics approaches for academics and practitioners, also presents dominant research themes, influential authors, and emerging trends regarding the evolution of the field.

Anahtar Kelimeler

Cold Chain Logistics , Distribution Channel , Bibliometric Analysis , Knowledge Mapping , Co-Citation Analysis

Kaynakça

• Abramo, G., and D’Angelo, C. A. (2014). How do you define and measure research productivity?. Scientometrics, 101, 1129-1144
• Adekomaya, O., Jamiru, T., Sadiku, R., and Huan, Z. (2016). Sustaining the shelf life of fresh food in cold chain–A burden on the environment. Alexandria Engineering Journal, 55(2), 1359-1365.
• Alatepeli, B. (2022). SWARA yöntemi ile soğuk tedarik zinciri lojistik firma seçimi. Socrates Journal of Interdisciplinary Social Studies, 16, 117-125.
• Ali, I., Nagalingam, S., and Gurd, B. (2018). A resilience model for cold chain logistics of perishable products. The International Journal of Logistics Management, 29(3), 922-941.
• Andoh, E. A., & Yu, H. (2022). A Bibliometric Analysis of the Logistical Challenges and Methods for Vaccine distribution under the Pandemic. In International Workshop of Advanced Manufacturing and Automation (pp. 166-175). Springer, Singapore.
• Arora, M., Kumar, R., Bangwal, D., Ahmad, V., and Negi, S. (2023). An empirical study of cold chain issues and performance: Applying structural equation modeling. Journal of Food Process Engineering, 46(12), e14439.
• Bamakan, S. M. H., Moghaddam, S. G., and Manshadi, S. D. (2021). Blockchain-enabled pharmaceutical cold chain: Applications, key challenges, and future trends. Journal of Cleaner Production, 302, 127021.
• Baladraf, T. T., & Marimin, M. (2025). Food Cold Chain Sustainability and Resiliency: Bibliometric Analysis and Emerging Trends. In BIO Web of Conferences (Vol. 167, p. 01004). EDP Sciences.
• Bishara, R. H. (2006). Cold chain management–an essential component of the global pharmaceutical supply chain. American Pharmaceutical Review, 9(1), 105-109.
• Boyer, K. K., Prud'homme, A. M., and Chung, W. (2009). The last mile challenge: evaluating the effects of customer density and delivery window patterns. Journal of Business Logistics, 30(1), 185-201.
• Bredahl, L. (2022). Introduction to bibliometrics and current data sources. Library Technology Reports, 58(8), 5-11.
• Cai, X., Chen, J., Xiao, Y., Xu, X., and Yu, G. (2013). Fresh-product supply chain management with logistics outsourcing. Omega, 41(4), 752-765.
• Ceylan, T., and Danacı Ünal, T. (2023). Bilgi Teknolojileri Kullanımının Uluslararası Soğuk Zincir Lojistiği Üzerine Etkilerinin Belirlenmesi. İşletme, 4(1), 131-142.
• Chaudhuri, A., Dukovska-Popovska, I., Subramanian, N., Chan, H. K., and Bai, R. (2018). Decision-making in cold chain logistics using data analytics: a literature review. The International Journal of Logistics Management, 29(3), 839-861.
• Chianella, I., Guerreiro, A., Moczko, E., Caygill, J. S., Piletska, E. V., De Vargas Sansalvador, I. M. P., ... and Piletsky, S. A. (2013). Direct Replacement of Antibodies with Molecularly Imprinted Polymer Nanoparticles in ELISA. Development of a Novel Assay for Vancomycin. Analytical Chemistry, 85(17), 8462-8468.
• Chen, Q., Qian, J., Yang, H., and Wu, W. (2022). Sustainable food cold chain logistics: From microenvironmental monitoring to global impact. Comprehensive Reviews in Food Science and Food Safety, 21(5), 4189-4209.
• Chen, G., and Xiao, L. (2016). Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods. Journal of Informetrics, 10(1), 212-223.
• Defraeye, T., Cronje, P., Berry, T., Opara, U. L., East, A., Hertog, M., ... and Nicolai, B. (2015). Towards integrated performance evaluation of future packaging for fresh produce in the cold chain. Trends in Food Science & Technology, 44(2), 201-225.
• DerSimonian, R., and Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7(3), 177-188.
• Dong, Y., Xu, M., and Miller, S. A. (2020). Overview of cold chain development in China and methods of studying its environmental impacts. Environmental Research Communications, 2(12), 122002.
• Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., and Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
• Ellegaard, O., and Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?. Scientometrics, 105, 1809-1831.
• Fahrni, M. L., Ismail, I. A. N., Refi, D. M., Almeman, A., Yaakob, N. C., Saman, K. M., ... and Babar, Z. U. D. (2022). Management of COVID-19 vaccines cold chain logistics: a scoping review. Journal of Pharmaceutical Policy and Practice, 15(1), 16.
• Fan, Y., Behdani, B., and Bloemhof-Ruwaard, J. M. (2020). Refer logistics and cold chain transport: A systematic review and multi-actor system analysis of an un-explored domain. European Journal of Transport and Infrastructure Research, 20(2), 1-35.
• Fatorachian, H., and Pawar, K. (2025). Sustainable cold chain management: An evaluation of predictive waste management models. Applied Sciences, 15(2), 770.
• George, M. (2000). Managing the Cold Chain for Quality and Safety: Flair-Flow Europe Technical Manual 378A/00. National Food Centre.
• Guo, S. M., Wu, T., and Chen, Y. J. (2018). Over-and under-estimation of risks and counteractive adjustment for cold chain operations: A prospect theory perspective. The International Journal of Logistics Management, 29(3), 902-921.
• Han, J. W., Zuo, M., Zhu, W. Y., Zuo, J. H., Lü, E. L., and Yang, X. T. (2021a). A comprehensive review of cold chain logistics for fresh agricultural products: Current status, challenges, and future trends. Trends in Food Science & Technology, 109, 536-551.
• Han, J., Zhang, X., He, S., and Jia, P. (2021b). Can the coronavirus disease be transmitted from food? A review of evidence, risks, policies and knowledge gaps. Environmental Chemistry Letters, 19, 5-16.
• Harzing, A. W., and Alakangas, S. (2016). Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison. Scientometrics, 106, 787-804.
• He, B., and Yin, L. (2021). Prediction modelling of cold chain logistics demand based on data mining algorithm. Mathematical Problems in Engineering, 2021(1), 3421478.
• Hu, L., Chen, Q., Yang, T., Yi, C., and Chen, J. (2024). Visualization and analysis of hotspots and trends in seafood cold chain logistics based on CiteSpace, VOSviewer, and RStudio Bibliometrix. Sustainability, 16(6502).
• International Trade Administration. (2025). Cold Chain Services. (https://www.trade.gov/cold-chain-services). Access Date: 08.10.2025.
• İpekçi, E., and Tanyaş, M. (2021). Soğuk zi̇nci̇r loji̇sti̇ği̇ uygulamalari ve Türki̇ye’de soğuk zi̇nci̇r loji̇sti̇ği̇ni̇n swot analizi̇. Dicle Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (26), 46-64.
• Jackson, I., Namdar, J., Saénz, M. J., Elmquist III, R. A., and Dávila Novoa, L. R. (2025). Revolutionize cold chain: an AI/ML driven approach to overcome capacity shortages. International Journal of Production Research, 63(6), 2190-2212.
• Kang, D., Guo, M., and Chen, G. (2021). Literature review of cold chain logistics research in China based on CiteSpace. Springer Lecture Notes in Computer Science, 82, 307–316.
• Karanam, M., Krishnanand, L., Manupati, V. K., & Nudurupati, S. S. (2025). Emerging themes and future research directions in the cold supply chain: a bibliometric and co-citation analysis. Benchmarking: An International Journal, 32(5), 1742-1775.
• Kuo, J. C., and Chen, M. C. (2010). Developing an advanced multi-temperature joint distribution system for the food cold chain. Food Control, 21(4), 559-566.
• Lim, M. K., Li, Y., and Song, X. (2021). Exploring customer satisfaction in cold chain logistics using a text mining approach. Industrial Management & Data Systems, 121(12), 2426-2449.
• Li, H., Xiang, Y., Yang, W., Lin, T., Xiao, Q., and Zhang, G. (2024). Green roof development knowledge map: A review of visual analysis using CiteSpace and VOSviewer. Heliyon, 10(3).
• Liberati, A., Altman, D. G., Tetzlaff, J., Mulrow, C., Gøtzsche, P. C., Ioannidis, J. P., ...and Moher, D. (2009). The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration. Bmj, 339.
• Liu, S. (2023). Multimodal transportation route optimization of cold chain container in time-varying network considering carbon emissions. Sustainability, 15(5), 4435.
• Lu, Y., Xu, X., Yin, C., and Zhang, Y. (2021). Network optimization of railway cold chain logistics based on freight subsidy. Transportation Research Record, 2675(10), 590-603.
• MacCoun, R. J. (1998). Biases in the interpretation and use of research results. Annual Review of Psychology, 49(1), 259-287.
• Maharani, F., & Hartati, I. (2023). A Brief Review and Its Incorporation with Bibliometric Analysis of Phase Change Materials for Thermal Energy Storage. Research in Chemical Engineering (RiCE), 2(1), 01-07.
• Maliha, H. (2023). A review on bibliometric application software. Scientometrics Letters, 1(1).
• Masudin, I., and Safitri, N. T. (2020). Food cold chain in Indonesia during the Covid-19 pandemic: a current situation and mitigation. Jurnal Rekayasa Sistem Industri, 9(2), 99-106.
• Moral-Muñoz, J. A., Herrera-Viedma, E., Santisteban-Espejo, A., and Cobo, M. J. (2020). Software tools for conducting bibliometric analysis in science: An up-to-date review. Profesional de la Información, 29(1).
• Mustafa, M. F. M. S., Navaranjan, N., and Demirovic, A. (2024). Food cold chain logistics and management: A review of current development and emerging trends. Journal of Agriculture and Food Research, 18, 101343.
• Negi, S., and Anand, N. (2015). Cold chain: a weak link in the fruits and vegetables supply chain in India. IUP Journal of Supply Chain Management, 12(1), 48.
• Pajic, V., Andrejic, M., and Chatterjee, P. (2024). Enhancing cold chain logistics: A framework for advanced temperature monitoring in transportation and storage. Mechatronics and Intelligent Transportation Systems, 3(1), 16-30.
• Passas, I., Ragazou, K., Zafeiriou, E., Garefalakis, A., and Zopounidis, C. (2022). ESG controversies: A quantitative and qualitative analysis for the sociopolitical determinants in EU firms. Sustainability, 14(19), 12879.
• Passas, I. (2024). Bibliometric analysis: the main steps. Encyclopedia, 4(2).
• Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25, 348.
• Porat, R., Lichter, A., Terry, L. A., Harker, R., and Buzby, J. (2018). Postharvest losses of fruit and vegetables during retail and in consumers’ homes: Quantifications, causes, and means of prevention. Postharvest Biology and Technology, 139, 135-149.
• Qi, B., and Li, G. (2024). The evolution of the cold chain logistics vehicle routing problem: A bibliometric and visualization review. Digital Transportation and Safety, 3(3), 92–114.
• Ragazou, K., Passas, I., Garefalakis, A., and Dimou, I. (2022). Investigating the research trends on strategic ambidexterity, agility, and open innovation in SMEs: Perceptions from bibliometric analysis. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 118.
• Rangar, S., Jadoun, R. S., Singh, A., and Dangwal, A. (2025). Cold chain infrastructure for fruit and vegetable crops in India: Challenges and prospects. International Journal of Social Science and Education Research, 7(2), 378-383.
• Ruiz-Garcia, L., and Lunadei, L. (2010). Monitoring cold chain logistics by means of RFID. In Sustainable Radio Frequency Identification Solutions, 2, 37-50.
• Saari, S. (2023). Enhancing the environmental sustainability of emergency humanitarian medical cold chains with renewable energy sources. Journal of Humanitarian Logistics and Supply Chain Management, 13(2), 157-172.
• Shashi, S., Centobelli, P., Cerchione, R., and Ertz, M. (2021). Food cold chain management: What we know and what we deserve. Supply Chain Management: An International Journal, 26(1), 102–135.
• Shi, Y., Lin, Y., Lim, M. K., Tseng, M. L., Tan, C., and Li, Y. (2022). An intelligent green scheduling system for sustainable cold chain logistics. Expert Systems with Applications, 209, 118378.
• Singh, B. K., and Negi, S. (2018). Cold chain logistics: an impediment in the perishable food industry of India. International Journal of Logistics Economics and Globalisation, 7(4), 332-352.
• Singh, R. K., Gunasekaran, A., and Kumar, P. (2018). Third party logistics (3PL) selection for cold chain management: a fuzzy AHP and fuzzy TOPSIS approach. Annals of Operations Research, 267, 531-553.
• Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333-339.
• Tan, T. K., Rijal, P., Rahikainen, R., Keeble, A. H., Schimanski, L., Hussain, S., ... and Townsend, A. R. (2021). A COVID-19 vaccine candidate using SpyCatcher multimerization of the SARS-CoV-2 spike protein receptor-binding domain induces potent neutralising antibody responses. Nature Communications, 12(1), 542.
• Torraco, R. J. (2005). Writing integrative literature reviews: Guidelines and examples. Human Resource Development Review, 4(3), 356-367.
• Uçar, A., and Özçelik, A. Ö. (2013). Individuals’ knowledge and practices of the cold chain. Ecology of Food and Nutrition, 52(2), 116-129.
• Verma, S., and Gustafsson, A. (2020). Investigating the emerging COVID-19 research trends in the field of business and management: A bibliometric analysis approach. Journal of Business Research, 118, 253-261.
• Vrat, P., Singh, V., and Kumar, P. (2018). Literature review analytics (LRA) on cold chain logistics for perishable goods: Issues and trends. Logistics and Sustainable Transport, 9(1), 15–27.
• Vrdoljak, A., McGrath, M. G., Carey, J. B., Draper, S. J., Hill, A. V., O'Mahony, C., ... and Moore, A. C. (2012). Coated microneedle arrays for transcutaneous delivery of live virus vaccines. Journal of Controlled Release, 159(1), 34-42.
• Wang, J., Peng, Y., Xu, H., Cui, Z., and Williams, R. O. (2020). The COVID-19 vaccine race: challenges and opportunities in vaccine formulation. Aaps Pharmscitech, 21, 1-12.
• Wang, S., (2024). Review of Research on the Development of Cold-Chain Logistics of Agricultural Products in China. Interdisciplinary Humanities and Communication Studies, 1(2). https://www.deanfrancispress.com/index.php/hc/article/view/554/HC001162.pdf
• Wang, S., Tao, F., and Shi, Y. (2018). Optimization of location–routing problem for cold chain logistics considering carbon footprint. International Journal of Environmental Research and Public Health, 15(1), 86.
• Wen, Z., Liao, H., Ren, R., Bai, C., Zavadskas, E. K., Antucheviciene, J., and Al-Barakati, A. (2019). Cold chain logistics management of medicine with an integrated multi-criteria decision-making method. International Journal of Environmental Research and Public Health, 16(23), 4843.
• Xia, C., and Shi, L. (2024, December). Research on cold chain logistics distribution path based on improved genetic algorithm. In 13th International Conference on Transportation and Traffic Engineering (ICTTE 2024) (Vol. 2024, pp. 360-364). IET.
• Yu, Y., and Xiao, T. (2021). Analysis of cold-chain service outsourcing modes in a fresh agri-product supply chain. Transportation Research Part E: Logistics and Transportation Review, 148, 102264.
• Zaffran, M., Vandelaer, J., Kristensen, D., Melgaard, B., Yadav, P., Antwi-Agyei, K. O., and Lasher, H. (2013). The imperative for stronger vaccine supply and logistics systems. Vaccine, 31, B73-B80.
• Zhang, S., Chen, N., Song, X., and Yang, J. (2019). Optimizing decision-making of regional cold chain logistics system in view of low-carbon economy. Transportation Research Part A: Policy and Practice, 130, 844-857.
• Zhang, X., and Lam, J. S. L. (2018). Shipping mode choice in cold chain from a value-based management perspective. Transportation Research Part E: Logistics and Transportation Review, 110, 147-167.
• Zhao, H., Liu, S., Tian, C., Yan, G., and Wang, D. (2018). An overview of current status of cold chain in China. International Journal of Refrigeration, 88, 483-495.
• Zupic, I., and Čater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18(3), 429-472.