Digital Container Transportation: Structural Modeling and Analysis of Barriers

Year 2024, Volume: 9 Issue: 1, 311 - 331, 30.06.2024

Nurullah Erem , Kaan Kemal Özcan

Abstract

Digital container shipping is an innovative approach that aims to achieve more efficient, traceable, sustainable, and optimized operational processes in the transportation industry by integrating traditional maritime transportation processes with digital technologies. This study aims to identify the main barriers facing digital container transportation, identify the hierarchical relationships among these barriers, categorize them according to their level of impact dependency, and propose solutions to these barriers. Several solutions were proposed from the perspective of experts to address the barriers identified in the study.

Keywords

Digital Container Transportation, Interpretive Structural Modeling, MICMAC Method

Dijital Konteyner Taşımacılığı: Engellerin Yapısal Modellemesi ve Analizi

Abstract

Dijital konteyner taşımacılığı, geleneksel deniz taşımacılığı süreçlerinin dijital teknolojilerle entegre edilmesiyle taşımacılık endüstrisinde daha verimli, izlenebilir, sürdürülebilir ve optimize edilmiş operasyonel süreçlere ulaşılmasını hedefleyen yenilikçi bir yaklaşımdır. Mevcut çalışma kapsamında, dijital konteyner taşımacılığının önündeki temel engellerin ortaya çıkarılarak, engeller arasındaki hiyerarşik ilişkilerin açıklığa kavuşturulması, engellerin etki-bağımlılık düzeylerine göre sınıflandırılması ve engellere ilişkin çözüm önerileri sunulması amaçlanmıştır. Uzman görüşleri perspektifinde, çalışma kapsamında belirlenen engellerin giderilmesine ilişkin çeşitli çözüm önerileri sunulmuştur.

Keywords

Dijital Konteyner Taşımacılığı, Yorumlayıcı Yapısal Modelleme, MICMAC Yöntemi

References

• Agrawal, N. M. (2019). Modeling Deming’s quality principles to improve performance using interpretive structural modeling and MICMAC analysis. International Journal of Quality & Reliability Management, 36(7), 1159-1180. https://doi.org/10.1108/IJQRM-07-2018-0204
• Agrawal, P., Narain, R., & Ullah, I. (2019). Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach. Journal of Modelling in Management, 15(1), 297-317. https://doi.org/10.1108/JM2-03-2019-0066
• Altuntaş Vural, C., Roso, V., Halldórsson, Á., Ståhle, G., & Yaruta, M. (2020). Can digitalization mitigate barriers to intermodal transport? An exploratory study. Research in Transportation Business & Management, 37, 100525. https://doi.org/10.1016/j.rtbm.2020.100525
• Aracıoğlu, B. (2022). Türkiye'de Konteyner Limanlarının Etkinlik Analizi. Ankara: Akademisyen Kitabevi A.Ş.
• Attri, R., Dev, N., & Sharma, V. (2013). Interpretive Structural Modelling (ISM) approach: An Overview. Research Journal of Management Sciences 2(2), 3-8.
• Balcı, G. (2021a). Digitalization in Container Shipping Services: Critical Resources for Competitive Advantage. Journal of ETA Maritime Science, 9(1), 3-12. https://doi.org/10.4274/jems.2021.47364
• Balci, G. (2021b). Digitalization in container shipping: Do perception and satisfaction regarding digital products in a non-technology industry affect overall customer loyalty? Technological Forecasting and Social Change, 172, 121016. https://doi.org/10.1016/j.techfore.2021.121016
• Balci, G., & Surucu-Balci, E. (2021). Blockchain adoption in the maritime supply chain: Examining barriers and salient stakeholders in containerized international trade. Transportation Research Part E: Logistics and Transportation Review, 156, 102539. https://doi.org/10.1016/j.tre.2021.102539
• Beloor, V., Nanjundeswaraswamy, T. S., Swamy, D. R., Aishwarya, S. P., & Bharath Gowda, N. (2022). Modeling facilitators of sustainable manufacturing practices – An integrated Pareto, ISM and MICMAC approach. Materials Today: Proceedings, 66, 2642-2649. https://doi.org/10.1016/j.matpr.2022.07.227
• Bendel, O. (2015). Die Industrie 4.0 aus ethischer Sicht. HMD Praxis der Wirtschaftsinformatik, 52(5), 739-748. https://doi.org/10.1365/s40702-015-0163-z
• Bernhofen, D. M., El-Sahli, Z., & Kneller, R. (2016). Estimating the effects of the container revolution on world trade. Journal of International Economics, 98, 36-50. https://doi.org/10.1016/j.jinteco.2015.09.001
• Brunila, O.-P., Kunnaala-Hyrkki, V., & Inkinen, T. (2021). Hindrances in port digitalization? Identifying problems in adoption and implementation. European Transport Research Review, 13(1), 62. https://doi.org/10.1186/s12544-021-00523-0
• Cichosz, M., Wallenburg, C. M., & Knemeyer, A. M. (2020). Digital transformation at logistics service providers: Barriers, success factors and leading practices. The International Journal of Logistics Management, 31(2), 209-238. https://doi.org/10.1108/IJLM-08-2019-0229
• Cil, A. Y., Abdurahman, D., & Cil, I. (2022). Internet of Things enabled real time cold chain monitoring in a container port. Journal of Shipping and Trade, 7(1), 9. https://doi.org/10.1186/s41072-022-00110-z
• Coronado Mondragon, A. E., Coronado Mondragon, C. E., & Coronado, E. S. (2017). ICT adoption in multimodal transport sites: Investigating institutional-related influences in international seaports terminals. Transportation Research Part A: Policy and Practice, 97, 69-88. https://doi.org/10.1016/j.tra.2017.01.014
• Coşar, A. K., & Demir, B. (2018). Shipping inside the box: Containerization and trade. Journal of International Economics, 114, 331-345. https://doi.org/10.1016/j.jinteco.2018.07.008
• Çalışkan, A. (2020). Akıllı liman dönüşümünde zorlukların yorumlayıcı yapısal modelleme ile değerlendirilmesi. Beykoz Akademi Dergisi, 8(1), 305-320. https://doi.org/10.14514/BYK.m.26515393.2020.8/1.305-320
• Del Giudice, M., Di Vaio, A., Hassan, R., & Palladino, R. (2022). Digitalization and new technologies for sustainable business models at the ship–port interface: A bibliometric analysis. Maritime Policy & Management, 49(3), 410-446. https://doi.org/10.1080/03088839.2021.1903600
• Del Rosal, I., & Moura, T. G. Z. (2022). The effect of shipping connectivity on seaborne containerised export flows. Transport Policy, 118, 143-151. https://doi.org/10.1016/j.tranpol.2022.01.020
• Dutta, P., Choi, T.-M., Somani, S., & Butala, R. (2020). Blockchain technology in supply chain operations: Applications, challenges and research opportunities. Transportation Research Part E: Logistics and Transportation Review, 142, 102067. https://doi.org/10.1016/j.tre.2020.102067
• Fitzgerald, M., Kruschwitz, N., Bonnet, D., & Welch, M. (2013). Embracing Digital Technology. MIT Sloan Management Review. https://sloanreview.mit.edu/projects/embracing-digital-technology/
• Fruth, M., & Teuteberg, F. (2017). Digitization in maritime logistics—What is there and what is missing? Cogent Business & Management, 4(1), 1411066. https://doi.org/10.1080/23311975.2017.1411066
• Gahlot, N. K., Bagri, G. P., Gulati, B., Bhatia, L., barat, S., & Das, S. (2023). Analysis of barriers to implement green supply chain management practices in Indian automotive industries with the help of ISM model. Materials Today: Proceedings, 82, 330-339. https://doi.org/10.1016/j.matpr.2023.02.146
• Govindan, K., & Arampatzis, G. (2023). A framework to measure readiness and barriers for the implementation of Industry 4.0: A case approach. Electronic Commerce Research and Applications, 59, 101249. https://doi.org/10.1016/j.elerap.2023.101249
• Gupta, H., Yadav, A. K., Kusi-Sarpong, S., Khan, S. A., & Sharma, S. C. (2022). Strategies to overcome barriers to innovative digitalisation technologies for supply chain logistics resilience during pandemic. Technology in Society, 69, 101970. https://doi.org/10.1016/j.techsoc.2022.101970
• Han, H., Liu, Z., Wang, X., & Li, S. (2021). Research of the Relations Among Cloud Computing, Internet of Things, Big Data, Artificial Intelligence, Block Chain and Their Application in Maritime Field. Journal of Physics: Conference Series, 1927(1), 012026. https://doi.org/10.1088/1742-6596/1927/1/012026
• Hangl, J., Krause, S., & Behrens, V. J. (2023). Drivers, barriers and social considerations for AI adoption in SCM. Technology in Society, 74, 102299. https://doi.org/10.1016/j.techsoc.2023.102299
• Headrick, D., (2009). Technology: A World History. Oxford University Press.
• Ichimura, Y., Dalaklis, D., Kitada, M., & Christodoulou, A. (2022). Shipping in the era of digitalization: Mapping the future strategic plans of major maritime commercial actors. Digital Business, 2(1), 100022. https://doi.org/10.1016/j.digbus.2022.100022
• Jena, A., & Patel, S. K. (2022). Analysis and evaluation of Indian industrial system requirements and barriers affect during implementation of Industry 4.0 technologies. The International Journal of Advanced Manufacturing Technology, 120(3), 2109-2133. https://doi.org/10.1007/s00170-022-08821-0
• Jović, M., Tijan, E., Vidmar, D., & Pucihar, A. (2022). Factors of Digital Transformation in the Maritime Transport Sector. Sustainability, 14(15), Article 15. https://doi.org/10.3390/su14159776
• Kumar Dadsena, K., & Pant, P. (2023). Analyzing the barriers in supply chain digitization: Sustainable development goals perspective. Operations Management Research, 16(4), 1684-1697. https://doi.org/10.1007/s12063-023-00351-6
• Kumar, G., James, A. T., Choudhary, K., Sahai, R., & Song, W. K. (2022). Investigation and analysis of implementation challenges for autonomous vehicles in developing countries using hybrid structural modeling. Technological Forecasting and Social Change, 185, 122080. https://doi.org/10.1016/j.techfore.2022.122080
• Kumar, R., Singh, R. Kr., & Dwivedi, Y. Kr. (2020). Application of industry 4.0 technologies in SMEs for ethical and sustainable operations: Analysis of challenges. Journal of Cleaner Production, 275, 124063. https://doi.org/10.1016/j.jclepro.2020.124063
• Kumar, S., Raut, R. D., Aktas, E., Narkhede, B. E., & Gedam, V. V. (2023). Barriers to adoption of industry 4.0 and sustainability: A case study with SMEs. International Journal of Computer Integrated Manufacturing, 36(5), 657-677. https://doi.org/10.1080/0951192X.2022.2128217
• Kumar, S., Raut, R. D., Nayal, K., Kraus, S., Yadav, V. S., & Narkhede, B. E. (2021). To identify industry 4.0 and circular economy adoption barriers in the agriculture supply chain by using ISM-ANP. Journal of Cleaner Production, 293, 126023. https://doi.org/10.1016/j.jclepro.2021.126023
• Lorenz-Meyer, F., & Santos, V. (2023). Blockchain in the shipping industry: A proposal for the use of blockchain for SMEs in the maritime industry. Procedia Computer Science, 219, 807-814. https://doi.org/10.1016/j.procs.2023.01.354
• Magalhães, V. S. M., Ferreira, L. M. D. F., & Silva, C. (2021). Using a methodological approach to model causes of food loss and waste in fruit and vegetable supply chains. Journal of Cleaner Production, 283, 124574. https://doi.org/10.1016/j.jclepro.2020.124574
• Mallam, S. C., Nazir, S., & Renganayagalu, S. K. (2019). Rethinking Maritime Education, Training, and Operations in the Digital Era: Applications for Emerging Immersive Technologies. Journal of Marine Science and Engineering, 7(12), Article 12. https://doi.org/10.3390/jmse7120428
• Malone, D. W. (1975). An introduction to the application of interpretive structural modeling. Proceedings of the IEEE, 63(3), 397-404. https://doi.org/10.1109/PROC.1975.9765
• Mangla, S. K., Luthra, S., Mishra, N., Singh, A., Rana, N. P., Dora, M., & Dwivedi, Y. (2018). Barriers to effective circular supply chain management in a developing country context. Production Planning & Control, 29(6), 551-569. https://doi.org/10.1080/09537287.2018.1449265
• Munim, Z. H., Dushenko, M., Jimenez, V. J., Shakil, M. H., & Imset, M. (2020). Big data and artificial intelligence in the maritime industry: A bibliometric review and future research directions. Maritime Policy & Management, 47(5), 577-597. https://doi.org/10.1080/03088839.2020.1788731
• Nguyen, S., Shu-Ling Chen, P., & Du, Y. (2022). Risk assessment of maritime container shipping blockchain-integrated systems: An analysis of multi-event scenarios. Transportation Research Part E: Logistics and Transportation Review, 163, 102764. https://doi.org/10.1016/j.tre.2022.102764
• Nimawat, D., & Gidwani, B. D. (2021). Prioritization of barriers for Industry 4.0 adoption in the context of Indian manufacturing industries using AHP and ANP analysis. International Journal of Computer Integrated Manufacturing, 34(11), 1139-1161. https://doi.org/10.1080/0951192X.2021.1963481
• Papathanasiou, A., Cole, R., & Murray, P. (2020). The (non-)application of blockchain technology in the Greek shipping industry. European Management Journal, 38(6), 927-938. https://doi.org/10.1016/j.emj.2020.04.007
• Parola, F., Satta, G., Buratti, N., & Vitellaro, F. (2021). Digital technologies and business opportunities for logistics centres in maritime supply chains. Maritime Policy & Management, 48(4), 461-477. https://doi.org/10.1080/03088839.2020.1802784
• Pu, S., & Lam, J. S. L. (2021). Greenhouse gas impact of digitalizing shipping documents: Blockchain vs. centralized systems. Transportation Research Part D: Transport and Environment, 97, 102942. https://doi.org/10.1016/j.trd.2021.102942
• Raj, A., Dwivedi, G., Sharma, A., Lopes de Sousa Jabbour, A. B., & Rajak, S. (2020). Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective. International Journal of Production Economics, 224, 107546. https://doi.org/10.1016/j.ijpe.2019.107546
• Ravi, V., & Shankar, R. (2005). Analysis of interactions among the barriers of reverse logistics. Technological Forecasting and Social Change, 72(8), 1011-1029. https://doi.org/10.1016/j.techfore.2004.07.002
• Raza, Z., Woxenius, J., Vural, C. A., & Lind, M. (2023). Digital transformation of maritime logistics: Exploring trends in the liner shipping segment. Computers in Industry, 145, 103811. https://doi.org/10.1016/j.compind.2022.103811
• Razmjooei, D., Alimohammadlou, M., Ranaei Kordshouli, H.-A., & Askarifar, K. (2023). Industry 4.0 research in the maritime industry: A bibliometric analysis. WMU Journal of Maritime Affairs. https://doi.org/10.1007/s13437-022-00298-8
• Reddy, P., Chaudhary, K., & Hussein, S. (2023). A digital literacy model to narrow the digital literacy skills gap. Heliyon, 9(4), e14878. https://doi.org/10.1016/j.heliyon.2023.e14878
• Rosa, P., Sassanelli, C., Urbinati, A., Chiaroni, D., & Terzi, S. (2020). Assessing relations between Circular Economy and Industry 4.0: A systematic literature review. International Journal of Production Research, 58(6), 1662-1687. https://doi.org/10.1080/00207543.2019.1680896
• Sanchez-Gonzalez, P.-L., Díaz-Gutiérrez, D., Leo, T. J., & Núñez-Rivas, L. R. (2019). Toward Digitalization of Maritime Transport? Sensors, 19(4), Article 4. https://doi.org/10.3390/s19040926
• Sarkar, B. D., & Shankar, R. (2021). Understanding the barriers of port logistics for effective operation in the Industry 4.0 era: Data-driven decision making. International Journal of Information Management Data Insights, 1(2), 100031. https://doi.org/10.1016/j.jjimei.2021.100031
• Senna, P. P., Ferreira, L. M. D. F., Barros, A. C., Bonnín Roca, J., & Magalhães, V. (2022). Prioritizing barriers for the adoption of Industry 4.0 technologies. Computers & Industrial Engineering, 171, 108428. https://doi.org/10.1016/j.cie.2022.108428
• Shen, L., Song, X., Wu, Y., Liao, S., & Zhang, X. (2016). Interpretive Structural Modeling based factor analysis on the implementation of Emission Trading System in the Chinese building sector. Journal of Cleaner Production, 127, 214-227. https://doi.org/10.1016/j.jclepro.2016.03.151
• Shou, Y., Zhao, X., Dai, J., & Xu, D. (2021). Matching traceability and supply chain coordination: Achieving operational innovation for superior performance. Transportation Research Part E: Logistics and Transportation Review, 145, 102181. https://doi.org/10.1016/j.tre.2020.102181
• Singh, R., & Bhanot, N. (2020). An integrated DEMATEL-MMDE-ISM based approach for analysing the barriers of IoT implementation in the manufacturing industry. International Journal of Production Research, 58(8), 2454-2476. https://doi.org/10.1080/00207543.2019.1675915
• Song, D. (2021). A Literature Review, Container Shipping Supply Chain: Planning Problems and Research Opportunities. Logistics, 5(2), Article 2. https://doi.org/10.3390/logistics5020041
• Tijan, E., Jović, M., Aksentijević, S., & Pucihar, A. (2021). Digital transformation in the maritime transport sector. Technological Forecasting and Social Change, 170, 120879. https://doi.org/10.1016/j.techfore.2021.120879
• Tripathi, S., & Gupta, M. (2019). “Impact of barriers on industry 4.0 transformation dimensions”. In: International Conference on Precision, Meso, Micro and Nano Engineering (COPEN 2019), Indore, India.
• Tsolakis, N., Zissis, D., Papaefthimiou, S., & Korfiatis, N. (2022). Towards AI driven environmental sustainability: An application of automated logistics in container port terminals. International Journal of Production Research, 60(14), 4508-4528. https://doi.org/10.1080/00207543.2021.1914355
• Urciuoli, L., & Hintsa, J. (2021). Can digital ecosystems mitigate risks in sea transport operations? Estimating benefits for supply chain stakeholders. Maritime Economics & Logistics, 23(2), 237-267. https://doi.org/10.1057/s41278-020-00163-6
• T.S., D., & Ravi, V. (2023). An ISM-MICMAC approach for analyzing dependencies among barriers of supply chain digitalization. Journal of Modelling in Management, 18(3), 817-841. https://doi.org/10.1108/JM2-02-2022-0044
• TÜRKLİM (2022). Türkiye Limancılık Sektörü 2022 Raporu Vizyon 2050. Türkiye Liman İşletmecileri Derneği (Erişim:01.06.2023) www.turkklim.org
• UAB (2024). T.C. UAB Denizcilik İstatistikleri, (Erişim: 30.01.2024), https://denizcilikistatistikleri.uab.gov.tr/yuk-istatistikleri
• UNCTAD (2018). 50 Years of Review of Maritime Transport, 1968–2018. United Nations Conference on Trade and Development. (Erişim:01.06.2023),https://unctad.org/publication/50-years-review-maritime-transport-1968-2018-reflecting-past exploring-future
• Vimal, K. E. K., Churi, K., & Kandasamy, J. (2022). Analysing the drivers for adoption of Industry 4.0 technologies in a functional paper – cement – sugar circular sharing network. Sustainable Production and Consumption, 31, 459-477. https://doi.org/10.1016/j.spc.2022.03.006
• World Economic Forum. (2020). Mapping TradeTech:Trade in Fourth Industrial Revolution.(Erişim:01.06.2023), https://www.weforum.org/publications/mapping-tradetech-trade-in-the-fourth-industrial-revolution/
• Wu, W.-S., Yang, C.-F., Chang, J.-C., Château, P.-A., & Chang, Y.-C. (2015). Risk assessment by integrating interpretive structural modeling and Bayesian network, case of offshore pipeline project. Reliability Engineering & System Safety, 142, 515-524. https://doi.org/10.1016/j.ress.2015.06.013
• Yang, C.-S. (2019). Maritime shipping digitalization: Blockchain-based technology applications, future improvements, and intention to use. Transportation Research Part E: Logistics and Transportation Review, 131, 108-117. https://doi.org/10.1016/j.tre.2019.09.020
• Yıldız Çankaya, S. (2022). Kapalı döngü tedarik zinciri uygulamalarını etkileyen faktörlerin yorumlayıcı yapısal modelleme ve mıcmac yöntemleri ile analizi. Yönetim Bilimleri Dergisi, Özel Sayı, 1-25. https://doi.org/10.35408/comuybd.1146472
• Yuen, K. F., Koh, L. Y., Fong, J. H., & Wang, X. (2022). Determinants of Digital Transformation in Container Shipping Lines: A Theory Driven Approach. Maritime Policy & Management, 1-16. https://doi.org/10.1080/03088839.2022.2139420
• Yüksekyıldız, E. (2021). ENTROPİ ve EATWOS yöntemleri ile Türkiye konteyner limanlarinin verimlilik analizi. Verimlilik Dergisi, (2), 3-24. https://doi.org/10.51551/verimlilik.660708
• Zeng, F., Chan, H. K., & Pawar, K. (2020). The adoption of open platform for container bookings in the maritime supply chain. Transportation Research Part E: Logistics and Transportation Review, 141, 102019. https://doi.org/10.1016/j.tre.2020.102019
• Zhang, X., & Lam, J. S. L. (2019). A fuzzy Delphi-AHP-TOPSIS framework to identify barriers in big data analytics adoption: Case of maritime organizations. Maritime Policy & Management, 46(7), 781-801. https://doi.org/10.1080/03088839.2019.1628318
• Zheng, T., Ardolino, M., Bacchetti, A., Perona, M., & Zanardini, M. (2019). The impacts of Industry 4.0: A descriptive survey in the Italian manufacturing sector. Journal of Manufacturing Technology Management, 31(5), 1085-1115. https://doi.org/10.1108/JMTM-08-2018-0269
• Zhou, F., Lim, M. K., He, Y., Lin, Y., & Chen, S. (2019). End-of-life vehicle (ELV) recycling management: Improving performance using an ISM approach. Journal of Cleaner Production, 228, 231-243. https://doi.org/10.1016/j.jclepro.2019.04.182
• Zhou, Y., & Yuen, K. F. (2024). A Bayesian network model for container shipping companies’ organisational sustainability risk management. Transportation Research Part D: Transport and Environment, 126, 103999. https://doi.org/10.1016/j.trd.2023.103999
• Zolich, A., Palma, D., Kansanen, K., Fjørtoft, K., Sousa, J., Johansson, K. H., Jiang, Y., Dong, H., & Johansen, T. A. (2019). Survey on Communication and Networks for Autonomous Marine Systems. Journal of Intelligent & Robotic Systems, 95(3-4), 789-813. https://doi.org/10.1007/s10846-018-0833-5