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From EDI to Blockchain: A Bibliometric Analysis of Digitalization in Supply Chains

Year 2021, Volume: 20 Issue: 2, 657 - 677, 27.04.2021
https://doi.org/10.21547/jss.861065

Abstract

The integration of digital technologies into business processes has a history of more than half a century. With the integration of technologies in the supply chain, businesses began benefiting from the possibilities as early as the 1970s. The emergence of ERP in the 1990s represents the beginning of a new era of the supply chain. Increasing competition and sustainability pressure have done businesses far from being sufficient on their own to respond to environmental conditions. This situation has made it necessary for companies to establish efficient supply chains. One of the main elements that ensure the efficiency of supply chains is that the flows in the supply chain can be monitored in real-time, and the problems that may arise can be intervened on time. Nowadays, businesses can obtain large amounts of data by integrating the Internet of Things technology into their business processes, can store and transfer this data more effectively with cloud computing technology, and can provide useful outputs for business goals with big data analytics. Especially in the last few years, blockchain opportunities have become more prominent. Businesses have begun to look for ways to gain gains by integrating this technology into the supply chain.
In this study, the current academic situation in supply chain management has been revealed by the bibliometric analysis of studies published on the Web of Science. Important actors in the field were identified, and their primary contributions to the field were revealed. Content analysis of the terms used in related studies and the development and interactions of the concepts over time are among the research findings. Through this study, both a general phenomenon of the field and various predictions regarding the future directions it will take are provided.

References

  • Agrawal, P., & Narain, R. (2018). Digital supply chain management: An Overview. IOP Conference Series: Materials Science and Engineering, 455, 012074. https://doi.org/10.1088/1757-899X/455/1/012074
  • Aria, M., & Cuccurullo, C. (2017). bibliometrics: 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
  • Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140
  • Bhargava, B., Ranchal, R., & Othmane, L. B. (2013). Secure information sharing in digital supply chains. 2013 3rd IEEE International Advance Computing Conference (IACC), 1636–1640. https://doi.org/10.1109/IAdCC.2013.6514473
  • Boiko, A., Shendryk, V., & Boiko, O. (2019). Information systems for supply chain management: Uncertainties, risks and cybersecurity. Procedia Computer Science, 149, 65–70.
  • Bongsug Chae, HsiuJu Rebecca Yen, & Chwen Sheu. (2005). Information technology and supply chain collaboration: Moderating effects of existing relationships between partners. IEEE Transactions on Engineering Management, 52(4), 440–448. https://doi.org/10.1109/TEM.2005.856570
  • Borregan-Alvarado, J., Alvarez-Meaza, I., Cilleruelo-Carrasco, E., & Garechana-Anacabe, G. (2020). A Bibliometric Analysis in Industry 4.0 and Advanced Manufacturing: What about the Sustainable Supply Chain? Sustainability, 12(19), 7840. https://doi.org/10.3390/su12197840
  • Butner, K. (2010). The smarter supply chain of the future. Strategy & Leadership, 38(1), 22–31. https://doi.org/10.1108/10878571011009859
  • Cassivi, L. (2006). Collaboration planning in a supply chain. Supply Chain Management: An International Journal, 11(3), 249–258. https://doi.org/10.1108/13598540610662158
  • Chopra, S., & Meindl, P. (2016). Supply chain management: Strategy, planning, and operation (Sixth edition, global edition). Pearson.
  • 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.
  • Daneshvar Kakhki, M., & Gargeya, V. B. (2019). Information systems for supply chain management: A systematic literature analysis. International Journal of Production Research, 57(15–16), 5318–5339. https://doi.org/10.1080/00207543.2019.1570376
  • Davenport, T. H. (2014). Big data at work: Dispelling the myths, uncovering the opportunities. Harvard Business Press.
  • Dhamija, P., Bedi, M., & Gupta, M. L. (2020). Industry 4.0 and Supply Chain Management: A Methodological Review. International Journal of Business Analytics, 7(1), 1–23. https://doi.org/10.4018/IJBAN.2020010101
  • Elia, V., Gnoni, M. G., & Lanzilotto, A. (2016). Evaluating the application of augmented reality devices in manufacturing from a process point of view: An AHP based model. Expert Systems with Applications, 63, 187–197.
  • Ellis, S., Morris, H. D., & Santagate, J. (2015). IoT-enabled analytic applications revolutionize supply chain planning and execution. International Data Corporation (IDC) White Paper, 13.
  • Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064. https://doi.org/10.1016/j.resconrec.2020.105064
  • Fasanghari, M. (2008). Assessing the Impact of Information Technology on Supply Chain Management. 2008 International Symposium on Electronic Commerce and Security, 726–730. https://doi.org/10.1109/ISECS.2008.208
  • Fiala, P. (2005). Information sharing in supply chains. Omega, 33(5), 419–423. https://doi.org/10.1016/j.omega.2004.07.006
  • Fosso Wamba, S., Gunasekaran, A., Papadopoulos, T., & Ngai, E. (2018). Big data analytics in logistics and supply chain management. The International Journal of Logistics Management, 29(2), 478–484. https://doi.org/10.1108/IJLM-02-2018-0026
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
  • Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, 252, 119869. https://doi.org/10.1016/j.jclepro.2019.119869
  • Göçer, F. (2018). Modeling and Design of Digital Supply Chain [PhD Thesis]. Galatasaray University.
  • Gunasekaran, A., Subramanian, N., & Papadopoulos, T. (2017). Information technology for competitive advantage within logistics and supply chains: A review. Transportation Research Part E: Logistics and Transportation Review, 99, 14–33. https://doi.org/10.1016/j.tre.2016.12.008
  • Hansen, J. V., & Hill, N. C. (1989). Control and Audit of Electronic Data Interchange. MIS Quarterly, 13(4), 403–413. https://doi.org/10.2307/248724
  • Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for industrie 4.0 scenarios. 2016 49th Hawaii International Conference on System Sciences (HICSS), 3928–3937.
  • Hoffman, D. L., & De Leeuw, J. (1992). Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, 3(3), 259–272.
  • Hofmann, E., & Rutschmann, E. (2018). Big data analytics and demand forecasting in supply chains: A conceptual analysis. The International Journal of Logistics Management, 29(2), 739–766. https://doi.org/10.1108/IJLM-04-2017-0088
  • Hofmann, E., Sternberg, H., Chen, H., Pflaum, A., & Prockl, G. (2019). Supply chain management and Industry 4.0: Conducting research in the digital age. International Journal of Physical Distribution & Logistics Management, 49(10), 945–955. https://doi.org/10.1108/IJPDLM-11-2019-399
  • Jacobs, F. R., & Wetson, F. C. T. (2007). Enterprise resource planning (ERP)-A brief history. Journal of Operations Management, 25(2), 357–363. https://doi.org/10.1016/j.jom.2006.11.005
  • Kim, L., Portenoy, J. H., West, J. D., & Stovel, K. W. (2020). Scientific journals still matter in the era of academic search engines and preprint archives. Journal of the Association for Information Science and Technology, 71(10), 1218–1226.
  • Klaus, H., Rosemann, M., & Gable, G. G. (2000). What is ERP? Information Systems Frontiers, 2(2), 141–162. https://doi.org/10.1023/A:1026543906354
  • Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373–397.
  • Lee, H., & Özer, Ö. (2007). Unlocking the Value of RFID. Production and Operations Management, 16(1), 40–64. https://doi.org/10.1111/j.1937-5956.2007.tb00165.x
  • Lee, Y. M., Cheng, F., & Leung, Y. T. (2009). A quantitative view on how RFID can improve inventory management in a supply chain. International Journal of Logistics Research and Applications, 12(1), 23–43. https://doi.org/10.1080/13675560802141788
  • McCarthy, B. (2013). EDI History. https://blog.logicbroker.com/blog/2013/08/19/edi-history
  • Musigmann, 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
  • Neubert, G., Ouzrout, Y., & Bouras, A. (2004). Collaboration and integration through information technologies in supply chains. International Journal of Technology Management, 28(2), 259–273. https://doi.org/10.1504/IJTM.2004.005065
  • Ptak, C. A., & Schragenheim, E. (2003). ERP: Tools, Techniques, and Applications for Integrating the Supply Chain, Second Edition. CRC Press.
  • Queiroz, M. M., Telles, R., & Bonilla, S. H. (2019). Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management: An International Journal, 25(2), 241–254. https://doi.org/10.1108/SCM-03-2018-0143
  • Raab, M., & Griffin-Cryan, B. (2011). Digital Transformation of Supply Chains: Creating Value–When Digital Meets Physical. Capgemini Consulting.
  • Rashid, M. A., Hossain, L., & Patrick, J. D. (2002). The evolution of ERP systems: A historical perspective. In Enterprise resource planning: Solutions and management (pp. 35–50). IGI global.
  • Saygin, C. (2007). Adaptive inventory management using RFID data. The International Journal of Advanced Manufacturing Technology, 32(9–10), 1045–1051.
  • Schwab, K. (2017). The Fourth Industrial Revolution. Crown.
  • Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020). Supply chain digitalization: Past, present and future. Production Planning & Control, 31(2–3), 96–114. https://doi.org/10.1080/09537287.2019.1631461
  • Swaminathan, J. M., & Tayur, S. R. (2003). Models for Supply Chains in E-Business. Management Science, 49(10), 1387–1406. https://doi.org/10.1287/mnsc.49.10.1387.17309
  • Tripathi, S., & Gupta, M. (2019). Transforming towards a Smarter Supply Chain. International Journal of Logistics Systems and Management, 35. https://doi.org/10.1504/IJLSM.2020.10019293
  • Ustundag, A., & Tanyas, M. (2009). The impacts of Radio Frequency Identification (RFID) technology on supply chain costs. Transportation Research Part E: Logistics and Transportation Review, 45(1), 29–38. https://doi.org/10.1016/j.tre.2008.09.001
  • Wang, L., Ranjan, R., Chen, J., & Benatallah, B. (2011). Cloud Computing: Methodology, Systems, and Applications. CRC Press.
  • Zamarripa, M., Aguirre, A., Méndez, C., & Espuña, A. (2012). Integration of Mathematical Programming and Game Theory for Supply Chain Planning Optimization in Multi-objective competitive scenarios. In I. D. L. Bogle & M. Fairweather (Eds.), Computer-Aided Chemical Engineering (Vol. 30, pp. 402–406). Elsevier. https://doi.org/10.1016/B978-0-444-59519-5.50081-2
  • Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2020). Supply chain management 4.0: A literature review and research framework. Benchmarking: An International Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/BIJ-04-2020-0156
  • Zhao, Y., Wang, S., Cheng, T. C. E., Yang, X., & Huang, Z. (2010). Coordination of supply chains by option contracts: A cooperative game theory approach. European Journal of Operational Research, 207(2), 668–675. https://doi.org/10.1016/j.ejor.2010.05.017

EDI'den Blok Zincir'e: Tedarik Zincirlerinde Dijitalleşmenin Bibliyometrik Bir Analizi

Year 2021, Volume: 20 Issue: 2, 657 - 677, 27.04.2021
https://doi.org/10.21547/jss.861065

Abstract

Dijital teknolojilerin işletme süreçlerine dahil edilmeye başlanması yaklaşık yarım yüzyılı aşan bir geçmişe sahiptir. Tedarik zincirinde bu entegrasyonun kökenleri 2000’lere dayansa da işletmelerin 1970’lerde teknolojinin imkanlarından yararlanmaya başladıkları bilinmektedir. 1990’larda ERP’nin ortaya çıkışı tedarik zinciri açısından yeni bir dönemin başlangıcını temsil etmektedir. Artan rekabet ve sürdürülebilirlik baskısı işletmeleri, çevresel koşullara cevap verme konusunda tek başlarına yeterli olmaktan uzak hale getirmiştir. Bu durum etkin tedarik zincirleri oluşturmayı işletmeler açısından zorunlu kılmıştır. Etkin tedarik zincirlerinin temelinde; tedarik zincirindeki akışların gerçek zamanlı izlenebilmesi dolayısı ile olası sorunlara zamanında müdahale edilebilmesi yatmaktadır. Günümüzde işletmeler nesnelerin interneti teknolojisini işletme süreçlerine entegre ederek büyük miktarda veriyi elde edebilmekte, elde ettikleri veriyi bulut bilişim teknolojisi ile bu veriyi daha efektif saklayabilmekte ve aktarabilmekte, büyük veri analitiği ile kapsamlı analizler gerçekleştirebilmekte ve işletme hedeflerine yönelik olarak faydalı çıktılar sağlayabilmektedir. Özellikle son birkaç yılda blockchain’in sağladığı imkanlar ön plana çıkmış ve işletmeler tedarik zincirine bu teknolojiyi entegre ederek kazanım elde etmenin yollarını aramaya başlamışlardır. Dijital teknolojideki bu dramatik değişim tedarik zinciri literatürünün bu konuyla ilgili ne konumda olduğunu araştırma ihtiyacı doğurmuştur.
Bu araştırmada tedarik zincirindeki dijital dönüşümü konu edinen ve Web of Science’ta yayımlanmış çalışmaların bibliyometrik analizi aracılığı ile alandaki akademik duruma ilişkin birtakım bulgulara ulaşılmıştır. Alanda etkin aktörler (yazarlar, kurumlar, ülkeler vb.) tespit edilerek, alana yaptıkları katkılar ortaya konulmaya çalışılmıştır. İlgili çalışmalarda kullanılan terimlerin içerik analizi ile kavramların zaman içerisinde sergiledikleri gelişim ve etkileşimlerde araştırma bulguları arasındadır. Bu çalışma vasıtasıyla hem alanın genel bir görüngüsü hem de gelecekte alması olası yönlere ilişkin çeşitli öngörüler sağlanmıştır.

References

  • Agrawal, P., & Narain, R. (2018). Digital supply chain management: An Overview. IOP Conference Series: Materials Science and Engineering, 455, 012074. https://doi.org/10.1088/1757-899X/455/1/012074
  • Aria, M., & Cuccurullo, C. (2017). bibliometrics: 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
  • Ben-Daya, M., Hassini, E., & Bahroun, Z. (2019). Internet of things and supply chain management: A literature review. International Journal of Production Research, 57(15–16), 4719–4742. https://doi.org/10.1080/00207543.2017.1402140
  • Bhargava, B., Ranchal, R., & Othmane, L. B. (2013). Secure information sharing in digital supply chains. 2013 3rd IEEE International Advance Computing Conference (IACC), 1636–1640. https://doi.org/10.1109/IAdCC.2013.6514473
  • Boiko, A., Shendryk, V., & Boiko, O. (2019). Information systems for supply chain management: Uncertainties, risks and cybersecurity. Procedia Computer Science, 149, 65–70.
  • Bongsug Chae, HsiuJu Rebecca Yen, & Chwen Sheu. (2005). Information technology and supply chain collaboration: Moderating effects of existing relationships between partners. IEEE Transactions on Engineering Management, 52(4), 440–448. https://doi.org/10.1109/TEM.2005.856570
  • Borregan-Alvarado, J., Alvarez-Meaza, I., Cilleruelo-Carrasco, E., & Garechana-Anacabe, G. (2020). A Bibliometric Analysis in Industry 4.0 and Advanced Manufacturing: What about the Sustainable Supply Chain? Sustainability, 12(19), 7840. https://doi.org/10.3390/su12197840
  • Butner, K. (2010). The smarter supply chain of the future. Strategy & Leadership, 38(1), 22–31. https://doi.org/10.1108/10878571011009859
  • Cassivi, L. (2006). Collaboration planning in a supply chain. Supply Chain Management: An International Journal, 11(3), 249–258. https://doi.org/10.1108/13598540610662158
  • Chopra, S., & Meindl, P. (2016). Supply chain management: Strategy, planning, and operation (Sixth edition, global edition). Pearson.
  • 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.
  • Daneshvar Kakhki, M., & Gargeya, V. B. (2019). Information systems for supply chain management: A systematic literature analysis. International Journal of Production Research, 57(15–16), 5318–5339. https://doi.org/10.1080/00207543.2019.1570376
  • Davenport, T. H. (2014). Big data at work: Dispelling the myths, uncovering the opportunities. Harvard Business Press.
  • Dhamija, P., Bedi, M., & Gupta, M. L. (2020). Industry 4.0 and Supply Chain Management: A Methodological Review. International Journal of Business Analytics, 7(1), 1–23. https://doi.org/10.4018/IJBAN.2020010101
  • Elia, V., Gnoni, M. G., & Lanzilotto, A. (2016). Evaluating the application of augmented reality devices in manufacturing from a process point of view: An AHP based model. Expert Systems with Applications, 63, 187–197.
  • Ellis, S., Morris, H. D., & Santagate, J. (2015). IoT-enabled analytic applications revolutionize supply chain planning and execution. International Data Corporation (IDC) White Paper, 13.
  • Esmaeilian, B., Sarkis, J., Lewis, K., & Behdad, S. (2020). Blockchain for the future of sustainable supply chain management in Industry 4.0. Resources, Conservation and Recycling, 163, 105064. https://doi.org/10.1016/j.resconrec.2020.105064
  • Fasanghari, M. (2008). Assessing the Impact of Information Technology on Supply Chain Management. 2008 International Symposium on Electronic Commerce and Security, 726–730. https://doi.org/10.1109/ISECS.2008.208
  • Fiala, P. (2005). Information sharing in supply chains. Omega, 33(5), 419–423. https://doi.org/10.1016/j.omega.2004.07.006
  • Fosso Wamba, S., Gunasekaran, A., Papadopoulos, T., & Ngai, E. (2018). Big data analytics in logistics and supply chain management. The International Journal of Logistics Management, 29(2), 478–484. https://doi.org/10.1108/IJLM-02-2018-0026
  • Frank, A. G., Dalenogare, L. S., & Ayala, N. F. (2019). Industry 4.0 technologies: Implementation patterns in manufacturing companies. International Journal of Production Economics, 210, 15–26. https://doi.org/10.1016/j.ijpe.2019.01.004
  • Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of Cleaner Production, 252, 119869. https://doi.org/10.1016/j.jclepro.2019.119869
  • Göçer, F. (2018). Modeling and Design of Digital Supply Chain [PhD Thesis]. Galatasaray University.
  • Gunasekaran, A., Subramanian, N., & Papadopoulos, T. (2017). Information technology for competitive advantage within logistics and supply chains: A review. Transportation Research Part E: Logistics and Transportation Review, 99, 14–33. https://doi.org/10.1016/j.tre.2016.12.008
  • Hansen, J. V., & Hill, N. C. (1989). Control and Audit of Electronic Data Interchange. MIS Quarterly, 13(4), 403–413. https://doi.org/10.2307/248724
  • Hermann, M., Pentek, T., & Otto, B. (2016). Design principles for industrie 4.0 scenarios. 2016 49th Hawaii International Conference on System Sciences (HICSS), 3928–3937.
  • Hoffman, D. L., & De Leeuw, J. (1992). Interpreting multiple correspondence analysis as a multidimensional scaling method. Marketing Letters, 3(3), 259–272.
  • Hofmann, E., & Rutschmann, E. (2018). Big data analytics and demand forecasting in supply chains: A conceptual analysis. The International Journal of Logistics Management, 29(2), 739–766. https://doi.org/10.1108/IJLM-04-2017-0088
  • Hofmann, E., Sternberg, H., Chen, H., Pflaum, A., & Prockl, G. (2019). Supply chain management and Industry 4.0: Conducting research in the digital age. International Journal of Physical Distribution & Logistics Management, 49(10), 945–955. https://doi.org/10.1108/IJPDLM-11-2019-399
  • Jacobs, F. R., & Wetson, F. C. T. (2007). Enterprise resource planning (ERP)-A brief history. Journal of Operations Management, 25(2), 357–363. https://doi.org/10.1016/j.jom.2006.11.005
  • Kim, L., Portenoy, J. H., West, J. D., & Stovel, K. W. (2020). Scientific journals still matter in the era of academic search engines and preprint archives. Journal of the Association for Information Science and Technology, 71(10), 1218–1226.
  • Klaus, H., Rosemann, M., & Gable, G. G. (2000). What is ERP? Information Systems Frontiers, 2(2), 141–162. https://doi.org/10.1023/A:1026543906354
  • Kleinberg, J. (2003). Bursty and hierarchical structure in streams. Data Mining and Knowledge Discovery, 7(4), 373–397.
  • Lee, H., & Özer, Ö. (2007). Unlocking the Value of RFID. Production and Operations Management, 16(1), 40–64. https://doi.org/10.1111/j.1937-5956.2007.tb00165.x
  • Lee, Y. M., Cheng, F., & Leung, Y. T. (2009). A quantitative view on how RFID can improve inventory management in a supply chain. International Journal of Logistics Research and Applications, 12(1), 23–43. https://doi.org/10.1080/13675560802141788
  • McCarthy, B. (2013). EDI History. https://blog.logicbroker.com/blog/2013/08/19/edi-history
  • Musigmann, 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
  • Neubert, G., Ouzrout, Y., & Bouras, A. (2004). Collaboration and integration through information technologies in supply chains. International Journal of Technology Management, 28(2), 259–273. https://doi.org/10.1504/IJTM.2004.005065
  • Ptak, C. A., & Schragenheim, E. (2003). ERP: Tools, Techniques, and Applications for Integrating the Supply Chain, Second Edition. CRC Press.
  • Queiroz, M. M., Telles, R., & Bonilla, S. H. (2019). Blockchain and supply chain management integration: A systematic review of the literature. Supply Chain Management: An International Journal, 25(2), 241–254. https://doi.org/10.1108/SCM-03-2018-0143
  • Raab, M., & Griffin-Cryan, B. (2011). Digital Transformation of Supply Chains: Creating Value–When Digital Meets Physical. Capgemini Consulting.
  • Rashid, M. A., Hossain, L., & Patrick, J. D. (2002). The evolution of ERP systems: A historical perspective. In Enterprise resource planning: Solutions and management (pp. 35–50). IGI global.
  • Saygin, C. (2007). Adaptive inventory management using RFID data. The International Journal of Advanced Manufacturing Technology, 32(9–10), 1045–1051.
  • Schwab, K. (2017). The Fourth Industrial Revolution. Crown.
  • Seyedghorban, Z., Tahernejad, H., Meriton, R., & Graham, G. (2020). Supply chain digitalization: Past, present and future. Production Planning & Control, 31(2–3), 96–114. https://doi.org/10.1080/09537287.2019.1631461
  • Swaminathan, J. M., & Tayur, S. R. (2003). Models for Supply Chains in E-Business. Management Science, 49(10), 1387–1406. https://doi.org/10.1287/mnsc.49.10.1387.17309
  • Tripathi, S., & Gupta, M. (2019). Transforming towards a Smarter Supply Chain. International Journal of Logistics Systems and Management, 35. https://doi.org/10.1504/IJLSM.2020.10019293
  • Ustundag, A., & Tanyas, M. (2009). The impacts of Radio Frequency Identification (RFID) technology on supply chain costs. Transportation Research Part E: Logistics and Transportation Review, 45(1), 29–38. https://doi.org/10.1016/j.tre.2008.09.001
  • Wang, L., Ranjan, R., Chen, J., & Benatallah, B. (2011). Cloud Computing: Methodology, Systems, and Applications. CRC Press.
  • Zamarripa, M., Aguirre, A., Méndez, C., & Espuña, A. (2012). Integration of Mathematical Programming and Game Theory for Supply Chain Planning Optimization in Multi-objective competitive scenarios. In I. D. L. Bogle & M. Fairweather (Eds.), Computer-Aided Chemical Engineering (Vol. 30, pp. 402–406). Elsevier. https://doi.org/10.1016/B978-0-444-59519-5.50081-2
  • Zekhnini, K., Cherrafi, A., Bouhaddou, I., Benghabrit, Y., & Garza-Reyes, J. A. (2020). Supply chain management 4.0: A literature review and research framework. Benchmarking: An International Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/BIJ-04-2020-0156
  • Zhao, Y., Wang, S., Cheng, T. C. E., Yang, X., & Huang, Z. (2010). Coordination of supply chains by option contracts: A cooperative game theory approach. European Journal of Operational Research, 207(2), 668–675. https://doi.org/10.1016/j.ejor.2010.05.017
There are 52 citations in total.

Details

Primary Language English
Subjects Finance
Journal Section Business
Authors

Şemsettin Çiğdem 0000-0001-9102-8153

Publication Date April 27, 2021
Submission Date January 14, 2021
Acceptance Date April 8, 2021
Published in Issue Year 2021 Volume: 20 Issue: 2

Cite

APA Çiğdem, Ş. (2021). From EDI to Blockchain: A Bibliometric Analysis of Digitalization in Supply Chains. Gaziantep University Journal of Social Sciences, 20(2), 657-677. https://doi.org/10.21547/jss.861065