MAPPING THE INTELLECTUAL STRUCTURE OF SUPPLY CHAIN DISRUPTION AND DIGITALIZATION RESEARCH: A BIBLIOMETRIC ANALYSIS

Öz

The aim of this study is to reveal the development trends, conceptual structure, and research gaps of the literature on supply chain disruptions and digitalization. Therefore, bibliometric methods have been employed to systematically analyze the intellectual structure of the literature. Studies obtained from Web of Science and Google Scholar databases were evaluated within the scope of the research according to the PRISMA approach and a total of 66 articles were included in the analysis. The study applied bibliometric performance analysis, thematic mapping, conceptual structure mapping, and factor analysis techniques. The results show that the literature is mainly focused on the themes of resilience, risk management, collaboration, dynamic capabilities and performance. Furthermore, emerging research areas in the literature were identified as themes, including blockchain, technology adoption, sustainability, human capital, and additive manufacturing. Factor analysis revealed that the literature is divided into five main thematic clusters. It was observed that future research is needed, particularly on the impacts of sustainability, human capital, and advanced digital technologies on operational performance.

Anahtar Kelimeler

• Supply Chain Disruptions
• Digitalization
• Bibliometric Analysis
• Topic Dendrogram

MAPPING THE INTELLECTUAL STRUCTURE OF SUPPLY CHAIN DISRUPTION AND DIGITALIZATION RESEARCH: A BIBLIOMETRIC ANALYSIS

Öz

Bu çalışmanın amacı, tedarik zinciri bozulmaları ve dijitalleşme konusundaki literatürün gelişim eğilimlerini, kavramsal yapısını ve araştırma boşluklarını ortaya koymaktır. Bu nedenle, literatürün entelektüel yapısını sistematik olarak analiz etmek için bibliyometrik yöntemler kullanılmıştır. Web of Science ve Google Scholar veritabanlarından elde edilen çalışmalar, PRISMA yaklaşımına göre araştırma kapsamında değerlendirildi ve toplamda 66 makale analize dahil edilmiştir. Çalışmada bibliyometrik performans analizi, tematik haritalama, kavramsal yapı haritalama ve faktör analizi teknikleri uygulanmıştır. Sonuçlar, literatürün esas olarak dayanıklılık, risk yönetimi, iş birliği, dinamik yetenekler ve performans temalarına odaklandığını göstermektedir. Ayrıca, literatürdeki yeni araştırma alanları, blok zinciri, teknoloji benimseme, sürdürülebilirlik, insan sermayesi ve eklemeli üretim gibi temalar olarak belirlenmektedir. Faktör analizi ise, literatürün beş ana tematik kümeye ayrıldığını ortaya koymaktadır. Gelecek araştırmalarının, özellikle sürdürülebilirlik, insan sermayesi ve ileri dijital teknolojilerin operasyonel performans üzerindeki etkileri konusunda gerekli olduğu gözlemlenmektedir.

Anahtar Kelimeler

• Tedarik Zinciri Bozulmaları
• Dijitalleşme
• Bibliyometrik Analiz
• Konu Dendrogramı

Kaynakça

1. Agrawal, N., & Jain, R. K. (2021). Insights from systematic literature review of supply chain resilience and disruption. Benchmarking: An International Journal. 29(8), 2495-2526. https://doi.org/10.1108/BIJ-02-2021-0084
2. Alesiuniene, K. S., Simanaviciene, Z., Bickauske, D., Mosiiuk, S., & Belova, I. (2021). Increasing the effectiveness of food supply chain logistics through digital transformation. Independent Journal of Management & Production, 12(6), 677-701.
3. Ali, I., Arslan, A., Khan, Z., & Tarba, S. Y. (2021). The role of industry 4.0 technologies in mitigating supply chain disruption: Empirical evidence from the Australian food processing industry. IEEE Transactions on Engineering Management. 1-11. https://doi.org/10.1109/TEM.2021.3088518
4. Alvarenga, M. Z., de Oliveira, M. P. V., & Oliveira, T. (2023). Let’s talk about bad experiences instead of forgetting them: An empirical study on the importance of memory for supply chain disruption management. International Journal of Production Economics. 261, 108872. https://doi.org/10.1016/j.ijpe.2023.108872
5. Ambrogio, G., Filice, L., Longo, F., & Padovano, A. (2022). Workforce and supply chain disruption as a digital and technological innovation opportunity for resilient manufacturing systems in the COVID-19 pandemic. Computers & Industrial Engineering, 169, 108158. https://doi.org/10.1016/j.cie.2022.108158
6. Andiappan, V., How, B. S., & Ngan, S. L. (2021). A perspective on post-pandemic biomass supply chains: Opportunities and challenges for the new norm. Process Integration and Optimization for Sustainability, 5(4), 1003-1010. https://doi.org/10.1007/s41660-021-00176-5
7. Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of informetrics. 11(4): 959-975. https://doi.org/10.1016/j.joi.2017.08.007
8. Benabdellah, G. C., Zekhnini, K., Benabdellah, A. C., Lu, Q., Wu, J., & Khan, Z. (2024). Building dynamic capabilities in supplier selection in industry 4.0 era: A literature review. Journal of General Management, 50(1), 53-64. https://doi.org/10.1177/03063070241263647

9. Biancone, P. P., Saiti, B., Petricean, D., & Chmet, F. (2020). The bibliometric analysis of Islamic banking and finance. Journal of Islamic Accounting and Business Research. 11(9), 2069-2086. https://doi.org/10.1108/JIABR-08-2020-0235
10. Bier, T., Lange, A., & Glock, C. H. (2020). Methods for mitigating disruptions in complex supply chain structures: a systematic literature review. International Journal of Production Research. 58(6), 1835-1856. https://doi.org/10.1080/00207543.2019.1687954
11. Birkel, H., Hohenstein, N. O., & Hähner, S. (2023). How have digital technologies facilitated supply chain resilience in the COVID-19 pandemic? An exploratory case study. Computers & Industrial Engineering, 183, 109538. https://doi.org/10.1016/j.cie.2023.109538
12. Chen, H. Y., Das, A., & Ivanov, D. (2019). Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry. International Journal of Information Management. 49, 330-342. https://doi.org/10.1016/j.ijinfomgt.2019.06.002
13. Chen, S., Lin, J., Zhuo, X., Yin, L., & Shen, J. (2025a). Impact of network nestedness on resistance and recovery of supply chain resilience. International Journal of Production Economics, 109854. https://doi.org/10.1016/j.ijpe.2025.109854
14. Chen, Y., Li, B., & Huo, B. (2025b). Building operational resilience through digitalization: The roles of supply chain network position. Technological Forecasting and Social Change, 211, 123918. https://doi.org/10.1016/j.techfore.2024.123918
15. Cobo, M. J., López-Herrera, A. G., Herrera-Viedma, E., & Herrera, F. (2011). An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. Journal of informetrics. 5(1), 146-166. https://doi.org/10.1016/j.joi.2010.10.002
16. Cozmiuc, D., & Petrisor, I. (2018). Industrie 4.0 by siemens: steps made next. Journal of Cases on Information Technology (JCIT), 20(1), 31-45. https://doi.org/10.4018/JCIT.2018040103
17. Duan, J. X., Hu, W. X., & Zhang, Z. G. (2025). The Impact of Focal Firm Digitalization on Supply Chain Resilience: A Supply Chain Collaboration Perspective. Sustainability, 17(21), 9505. https://doi.org/10.3390/su17219505
18. Dubey, R., Bryde, D. J., Dwivedi, Y. K., Graham, G., Foropon, C., & Papadopoulos, T. (2023). Dynamic digital capabilities and supply chain resilience: The role of government effectiveness. International Journal of Production Economics, 258, 108790. https://doi.org/10.1016/j.ijpe.2023.108790
19. El Baz, J., & Ruel, S. (2024). Achieving social performance through digitalization and supply chain resilience in the COVID-19 disruption era: an empirical examination based on stakeholder dynamic capabilities view. Technological Forecasting and Social Change, 201, 123209. https://doi.org/10.1016/j.techfore.2024.123209
20. Fauzdar, C., Gupta, N., Goswami, M., & Kumar, R. (2022). MICMAC analysis of industry 4.0 in Indian automobile industry. Journal of Scientific & Industrial Research, 81(08), 873-881.
21. Gao, D., & Zhao, H. (2026). A Big Data-Driven Knowledge Framework for Supply Chain Risk Prediction and Performance Optimization in Multinational Corporations. International Journal of Knowledge Management (IJKM), 22(1), 1-25. https://doi.org/10.4018/IJKM.402393
22. Ghobakhloo, M., Foroughi, B., Fathi, M., Al-Emran, M., Al-Sharafi, M. A., & Mubarak, M. F. (2025). Building antifragile manufacturing systems through strategic technology integration. Journal of Manufacturing Technology Management, 36(9), 221-242. https://doi.org/10.1108/JMTM-08-2025-0789
23. Gupta, S., Modgil, S., Meissonier, R., & Dwivedi, Y. K. (2021). Artificial intelligence and information system resilience to cope with supply chain disruption. IEEE Transactions on Engineering Management. 1-11. https://doi.org/10.1109/TEM.2021.3116770
24. Hald, K. S., & Coslugeanu, P. (2022). The preliminary supply chain lessons of the COVID-19 disruption—What is the role of digital technologies?. Operations Management Research. 15(1-2), 282-297. https://doi.org/10.1007/s12063-021-00207-x
25. He, X., Hu, W., Li, W., & Hu, R. (2023). Digital transformation, technological innovation, and operational resilience of port firms in case of supply chain disruption. Marine Pollution Bulletin. 190, 1-14. https://doi.org/10.1016/j.marpolbul.2023.114811
26. Hervani, A. A., Nandi, S., Helms, M. M., & Sarkis, J. (2022). A performance measurement framework for socially sustainable and resilient supply chains using environmental goods valuation methods. Sustainable Production and Consumption, 30, 31-52. https://doi.org/10.1016/j.spc.2021.11.026
27. Hopkins, J. L. (2021). An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia. Computers in Industry, 125, 103323. https://doi.org/10.1016/j.compind.2020.103323
28. Hu, L. (2022). The PPE industry in Italy during COVID-19: supply chain disruption and the adoption of digital and social media in B2B firms. Journal of Business & Industrial Marketing, 37(10), 2050-2063. https://doi.org/10.1108/JBIM-01-2021-0005
29. Joshi, S., & Sharma, M. (2022). Sustainable performance through digital supply chains in industry 4.0 era: amidst the pandemic experience. Sustainability, 14(24), 16726. https://doi.org/10.3390/su142416726
30. Karna, A., & Gibert, K. (2022). Automatic identification of the number of clusters in hierarchical clustering. Neural Computing and Applications, 34(1), 119-134.
31. Khan, S. A. R., Waqas, M., Honggang, X., Ahmad, N., & Yu, Z. (2022). Adoption of innovative strategies to mitigate supply chain disruption: COVID-19 pandemic. Operations Management Research. 15(3-4), 1115-1133. https://doi.org/10.1007/s12063-021-00222-y
32. Klumpp, M., & Loske, D. (2021). Sustainability and resilience revisited: Impact of information technology disruptions on empirical retail logistics efficiency. Sustainability, 13(10), 5650. https://doi.org/10.3390/su13105650
33. Kumar, M., Raut, R. D., Gunasekaran, A., Venkateshwarlu, M., & Choubey, V. K. (2023). Developing supply chain capabilities through digitalization and viability for controlling the ripple effect. IEEE Transactions on Engineering Management, 71, 10341-10357. https://doi.org/10.1109/TEM.2022.3233860
34. Kumaresan, M. K., Chen, Y. T., & Ben Abdelaziz, F. (2026). Resilience strategies in the textile industry: framework to strengthen supply chains. Management Decision, 1-21. https://doi.org/10.1108/MD-07-2025-2023
35. Li, Y., Li, D., Liu, Y., & Shou, Y. (2023). Digitalization for supply chain resilience and robustness: The roles of collaboration and formal contracts. Frontiers of Engineering Management, 10(1), 5-19. https://doi.org/10.1007/s42524-022-0229-x
36. Liu, X., Luo, L., Chen, L., & Choi, T. (2025). A punctuated equilibrium model of supply chain recovery and resilience: after a complete shutdown. Journal of Supply Chain Management, 61(2), 106-123. https://doi.org/10.1111/jscm.12344
37. Marzantowicz, Ł., Nowicka, K., & Jedliński, M. (2020). Smart „Plan B”-in face with disruption of supply chains in 2020. LogForum, 16(4), 487-502. http://doi.org/10.17270/J.LOG.2020.486
38. Matysek-Jędrych, A., Mroczek-Dąbrowska, K., & Kania, A. (2024). Beyond the COVID-19 pandemic: what builds organizational resilience capacity?. International Journal of Emerging Markets, 19(10), 3272-3302. https://doi.org/10.1108/IJOEM-06-2022-0948
39. Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*. 2009. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine 151(4), 264-269. https://doi.org/10.7326/0003-4819-151-4-200908180-00135
40. Mühl, D. D., & de Oliveira, L. (2022). A bibliometric and thematic approach to agriculture 4.0. Heliyon. 8(5). https://doi.org/10.1016/j.heliyon.2022.e09369
41. Nandi, S. Sarkis, J. Hervani, A. & Helms, M. (2021). Do blockchain and circular economy practices improve post COVID-19 supply chains? A resource-based and resource dependence perspective. Industrial management & data systems, 121(2), 333-363. https://doi.org/10.1108/IMDS-09-2020-0560
42. Nath, A., & Sulthana, M. N. (2025). Leveraging Digitalization to Strengthen Supply Chain Resilience: Mitigating Disruptions for Enhanced Performance. Journal of Advanced Manufacturing Systems, 1-26. https://doi.org/10.1142/S0219686727500259
43. Nguyen, S., Chen, P. S. L., & Du, Y. (2023). Blockchain adoption in container shipping: An empirical study on barriers, approaches, and recommendations. Marine Policy, 155, 105724. https://doi.org/10.1016/j.marpol.2023.105724
44. Orji, I. J., & U-Dominic, C. M. (2024). Adaptable solutions for retail supply chain resilience in the post-COVID-19 era. Socio-Economic Planning Sciences, 96, 102090. https://doi.org/10.1016/j.seps.2024.102090
45. Ozturk, O. (2021). Bibliometric review of resource dependence theory literature: an overview. Management Review Quarterly, 71(3), 525-552. https://doi.org/10.1007/s11301-020-00192-8
46. Patel, R., Bharti, K., Mohapatra, D. R., & Yadav, S. K. (2026). Juxtaposing the influence of digitalization and supply chain disruption on green innovation: moderating role of human capital development. International Economics and Economic Policy, 23(2), 32. https://doi.org/10.1007/s10368-026-00731-w
47. Priyadarshini, J., Singh, R. K., Mishra, R., & Bag, S. (2022). Investigating the interaction of factors for implementing additive manufacturing to build an antifragile supply chain: TISM-MICMAC approach. Operations Management Research, 15(1), 567-588. https://doi.org/10.1007/s12063-022-00259-7
48. Qian, Z., Yan, T., Li, J., & Zhang, Y. (2025). Unleashing resilience through digitalization: Do upstream and downstream firms differ?. Omega, 103411. https://doi.org/10.1016/j.omega.2025.103411
49. Qiu, Y., Zhang, M., & Pan, P. (2026). Climate Risk and Firm Value Preservation from the Perspective of Supply Chain Strategic Choice. Sustainability, 18(5), 2444. https://doi.org/10.3390/su18052444
50. Queiroz, M. M., & Wamba, S. F. (2019). Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA. International Journal of Information Management, 46, 70-82. https://doi.org/10.1016/j.ijinfomgt.2018.11.021
51. Queiroz, M. M., Pereira, S. C. F., Telles, R., & Machado, M. C. (2021). Industry 4.0 and digital supply chain capabilities: A framework for understanding digitalization challenges and opportunities. Benchmarking: an international journal, 28(5), 1761-1782. https://doi.org/10.1108/BIJ-12-2018-0435
52. Ragazou, K., Garefalakis, A., Pardalos, P. M., Zopounidis, C., & Passas, I. (2026). A hybrid DEMATEL–Fuzzy AHP–MARCOS framework for evaluating digital servitization strategies in supply chains. Annals of Operations Research, 1-33. https://doi.org/10.1007/s10479-026-07231-9
53. Rao, P. H. N., Vihari, N. S., & Jabeen, S. S. (2021). Reimagining the fashion retail industry through the implications of COVID-19 in the Gulf Cooperation Council (GCC) countries. FIIB Business Review, 10(4), 327-338. https://doi.org/10.1177/23197145211039580
54. Rapaccini, M., Saccani, N., Kowalkowski, C., Paiola, M., & Adrodegari, F. (2020). Navigating disruptive crises through service-led growth: The impact of COVID-19 on Italian manufacturing firms. Industrial Marketing Management, 88, 225-237. https://doi.org/10.1016/j.indmarman.2020.05.017
55. Rodrigues, M., Franco, M., Sousa, N., & Silva, R. (2021). COVID 19 and the business management crisis: An empirical study in SMEs. Sustainability, 13(11), 5912. https://doi.org/10.3390/su13115912
56. Sathiya, V., Nagalakshmi, K., Jeevamalar, J., Babu, R. A., Karthi, R., Acevedo-Duque, A., ... & Ramabalan, S. (2023). Reshaping healthcare supply chain using chain-of-things technology and key lessons experienced from COVID-19 pandemic. Socio-economic planning sciences, 85, 101510. https://doi.org/10.1016/j.seps.2023.101510
57. Shashi, M. (2023). Sustainable digitalization in pharmaceutical supply chains using theory of constraints: A qualitative study. Sustainability, 15(11), 8752. https://doi.org/10.3390/su15118752
58. Shin, S. J., Kim, S. E., Kwon, M. J., Kang, Y. S., & Eom, J. H. (2025). Digitalization and automation for supply chain resilience using asset administration shell. Computers & Industrial Engineering, 111718. https://doi.org/10.1016/j.cie.2025.111718
59. Song, M., Ma, X., Zhao, X., & Zhang, L. (2022). How to enhance supply chain resilience: a logistics approach. The International Journal of Logistics Management, 33(4), 1408-1436. https://www.emerald.com/insight/0957-4093.htm
60. Thukral, S., & Jain, A. (2021). Unveiling contemporary dimensions in the internationalisation of family firms through bibliometric analysis and thematic analysis. Review of International Business and Strategy. 31(4), 507-539. https://doi.org/10.1108/RIBS-09-2020-0121
61. Tian, G., Chen, Z., Xia, Z., Abbas, H., & Liu, W. (2026). Facilitation mechanisms for supply chain resilience-oriented inputs: a digitalization and enterprise alliance-based perspective. International Journal of Production Economics, 109962. https://doi.org/10.1016/j.ijpe.2026.109962
62. Tian, Y., & Cui, L. (2025). Supply chain resilience and digital transformation: perspectives from a supply chain network. Humanities and Social Sciences Communications, 12(1), 1738. https://doi.org/10.1057/s41599-025-06011-3
63. Tiwari, S., Sharma, P., & Jha, A. K. (2024). Digitalization & Covid-19: An institutional-contingency theoretic analysis of supply chain digitalization. International Journal of Production Economics, 267, 109063. https://doi.org/10.1016/j.ijpe.2023.109063
64. Tortorella, G., Gloet, M., Samson, D., Kurnia, S., Fogliatto, F. S., & Anzanello, M. J. (2025). Food supply chain resilience through digital transformation: a mixed-method approach. The International Journal of Logistics Management, 36(2), 381-412. https://doi.org/10.1108/IJLM-01-2024-0030
65. Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a methodology for developing evidence in formed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https:// doi. org/ 10. 1111/ 1467- 8551. 00375
66. Treber, S., Benfer, M., Haefner, B., Wang, L., & Lanza, G. (2021). Robust optimization of information flows in global production networks using multi-method simulation and surrogate modelling. CIRP Journal of Manufacturing Science and Technology, 32, 491-506. https://doi.org/10.1016/j.cirpj.2020.08.012
67. Vanany, I., Ali, M. H., Tan, K. H., Kumar, A., & Siswanto, N. (2021). A supply chain resilience capability framework and process for mitigating the COVID-19 pandemic disruption. IEEE Transactions on Engineering Management, 71, 10358-10372. https://doi.org/10.1109/TEM.2021.3116068
68. Vivas, K. A., Vera, R. E., Dasmohapatra, S., Marquez, R., Van Schoubroeck, S., Forfora, N., ... & Gonzalez, R. (2024). A multi-criteria approach for quantifying the impact of global megatrends on the pulp and paper industry: Insights into digitalization, social behavior change, and sustainability. Logistics, 8(2), 36. https://doi.org/10.3390/logistics8020036
69. Vongurai, R. (2022). Key drivers of operational performance of E-commerce distribution service providers in Thailand. Journal of Distribution Science, 20(12), 89-98. http://dx.doi.org/10.15722/jds.20.12.202212.89
70. Wang, L., Yang, Y., Yang, D., & Zhou, Y. (2024). Role of supply chain disruptions and digitalization on renewable energy innovation: Evidence from G7 nations. Energy Economics, 140, 108016. https://doi.org/10.1016/j.eneco.2024.108016
71. Wang, Y., Liu, Y., Xie, Y., & Yasheng, Z. (2026). Chain-master firms’ digitalization and supply chain resilience: Evidence from China. Economic Modelling, 107623. https://doi.org/10.1016/j.econmod.2026.107623
72. Xu, S., Zhang, X., Feng, L., & Yang, W. 2020. Disruption risks in supply chain management: a literature review based on bibliometric analysis. International Journal of Production Research. 58(11), 3508-3526. https://doi.org/10.1080/00207543.2020.1717011
73. Yang, Z., Hu, W., Shao, J., Shou, Y., & He, Q. (2023). How does digitalization alter the paradox of supply base concentration? The effects of digitalization intensity and breadth. International Journal of Operations & Production Management, 43(11), 1690-1722. https://doi.org/10.1108/IJOPM-10-2022-0685
74. Zhang, J. (2026). Supply Chain Digitalization and Disruption Risk: The Roles of Resilience and Financing Constraints. Finance Research Letters, 109623. https://doi.org/10.1016/j.frl.2026.109623
75. Zhang, Y., Zou, Y., Liu, L., Manzardo, A., Wang, X., & Wu, J. (2026a). A digital twin–driven dynamic shelf life approach for mitigating food loss across fruit supply chains. Journal of Stored Products Research, 117, 103016. https://doi.org/10.1016/j.jspr.2026.103016
76. Zhang, Z., Yin, L., Wen, J., & Wu, Y. (2026b). Can Supply Chain Digitalization Reduce Corporate Carbon Emission Intensity? Evidence from the Annual Reports of Chinese Listed Companies. Sustainability, 18(8), 3991. https://doi.org/10.3390/su18083991
77. Zhao, N., Hong, J., & Lau, K. H. (2023). Impact of supply chain digitalization on supply chain resilience and performance: A multi-mediation model. International journal of production economics, 259, 108817. https://doi.org/10.1016/j.ijpe.2023.108817
78. Zhao, N., Liu, X., Wang, Q., & Zhou, Z. (2022). Information technology-driven operational decisions in a supply chain with random demand disruption and reference effect. Computers and Industrial Engineering. 171, 108377. https://doi.org/10.1016/j.cie.2022.108377
79. Zupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organizational research methods, 18(3), 429-472. https://doi.org/10.1177/1094428114562629.