1. bookVolume 22 (2021): Issue 2 (April 2021)
Journal Details
First Published
20 Mar 2000
Publication timeframe
4 times per year
access type Open Access

Digital Technologies for Improving Logistics Performance of Countries

Journal Details
First Published
20 Mar 2000
Publication timeframe
4 times per year

The logistics performance has a crucial role in the industrial and economic development of countries. This study aims to underline implications for policy makers in improving the logistics performance of countries in terms of Industry 4.0. For this purpose, the effect of digitalisation on logistics performance is analysed by using correlation and multiple regression analysis. The empirical study builds upon dimensions and indicators of the Digital Economy and Society Index (DESI) and Logistics Performance Index (LPI) of the World Bank. The results indicate that governmental policies should target to deliver sound framework conditions for the generation of human capital (here: ICT specialists), sustainable usage of internet services (e.g. professional social networks, online sales, etc.), integration of digital technologies (e.g. Big Data, Cloud computing, etc.), as well as digital connectivity (here: fixed broadband and 4G coverage) in order facilitate improvement of logistics performance.


1. Ardito, L., Petruzzelli, A. M., Panniello, U., & Garavelli, A. C. (2019) Towards Industry 4.0. Business Process Management Journal. DOI:10.1108/BPMJ-04-2017-0088. Search in Google Scholar

2. Arvis, J. F., Ojala, L., Wiederer, C., Shepherd, B., Raj, A., Dairabayeva, K., & Kiiski, T. (2018) Connecting to compete 2018: trade logistics in the global economy. World Bank. DOI:10.1596/29971. Search in Google Scholar

3. Barreto, L., Amaral, A., & Pereira, T. (2017) Industry 4.0 implications in logistics: an overview. Procedia Manufacturing, 13, 1245-1252. DOI:10.1016/j.promfg.2017.09.045. Search in Google Scholar

4. Bhandari, R. (2014) Impact of technology on logistics and supply chain management. IOSR Journal of Business and Management, 2(17), 19-24. Search in Google Scholar

5. Bienstock, C. C., & Royne, M. B. (2010) Technology acceptance and satisfaction with logistics services. International Journal of Logistics Management, 21(2), 271. DOI:10.1108/09574091011071951. Search in Google Scholar

6. Bienstock, C. C., Royne, M. B., Sherrell, D., & Stafford, T. F. (2008) An expanded model of logistics service quality: Incorporating logistics information technology. International Journal of Production Economics, 113(1), 205-222. DOI:10.1016/j.ijpe.2007.03.023. Search in Google Scholar

7. Çemberci, M., Civelek, M. E., & Canbolat, N. (2015) The moderator effect of global competitiveness index on dimensions of logistics performance index. Procedia-social and behavioral sciences, 195, 1514-1524. DOI:10.1016/j.sbspro.2015.06.453. Search in Google Scholar

8. Choy, K. L., Gunasekaran, A., Lam, H. Y., Chow, K. H., Tsim, Y. C., Ng, T. W., ... & Lu, X. A. (2014) Impact of information technology on the performance of logistics industry: the case of Hong Kong and Pearl Delta region. Journal of the operational research society, 65(6), 904-916. DOI:10.1057/jors.2013.121. Search in Google Scholar

9. Cruz-Jesus, F., Oliveira, T., & Bacao, F. (2012) Digital divide across the European Union. Information & Management, 49(6), 278-291. DOI:10.1016/j.im.2012.09.003. Search in Google Scholar

10. Ekici, Ş. Ö., Kabak, Ö., & Ülengin, F. (2019) Improving logistics performance by reforming the pillars of Global Competitiveness Index. Transport Policy, 81, 197-207. DOI:10.1016/j.tranpol.2019.06.014. Search in Google Scholar

11. European Commission (n.d.). Digital Economy and Society Index https://digital-agenda-data.eu/datasets/desi/indicators (accessed: May 2020) Search in Google Scholar

12. Evangelista, P., Mogre, R., Perego, A., Raspagliesi, A., & Sweeney, E. (2012) A survey based analysis of IT adoption and 3PLs’ performance. Supply Chain Management, 17(2), 172-186. DOI:10.1108/13598541211212906. Search in Google Scholar

13. Gani, A. (2017) The logistics performance effect in international trade. Asian Journal of Shipping and Logistics, 33(4), 279-288. DOI:10.1016/j.ajsl.2017.12.012. Search in Google Scholar

14. Gerlitz, L., Philipp, R., & Beifert, A. (2018) Smart and Sustainable Cross-Sectoral Stakeholder Integration into Macro-Regional LNG Value Chain. In: International Conference on Reliability and Statistics in Transportation and Communication (pp. 112-126). Springer, Cham. DOI:10.1007/978-3-319-74454-4_11. Search in Google Scholar

15. Greco, L., Maresca, P., & Caja, J. (2019) Big Data and Advanced Analytics in Industry 4.0: a comparative analysis across the European Union. Procedia Manufacturing, 41, 383-390. DOI:10.1016/j.promfg.2019.09.023. Search in Google Scholar

16. Harris, I., Wang, Y., & Wang, H. (2015) ICT in multimodal transport and technological trends: Unleashing potential for the future. International Journal of Production Economics, 159, 88-103. DOI:10.1016/j.ijpe.2014.09.005. Search in Google Scholar

17. Henesey, L. & Philipp, R. (2019) Evaluating LNG Bunkering Automation Technology. In: Casaca (eds.): 2019 World of Shipping Portugal, An International Research Conference on Maritime Affairs, Carcavelos, https://www.researchgate.net/publication/336899809 (accessed: May 2020) Search in Google Scholar

18. Hofmann, E., & Rüsch, M. (2017) Industry 4.0 and the current status as well as future prospects on logistics. Computers in industry, 89, 23-34. DOI:10.1016/j.compind.2017.04.002. Search in Google Scholar

19. Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136, 101922. DOI:10.1016/j.tre.2020.101922. Search in Google Scholar

20. Ivanov, D., Dolgui, A., & Sokolov, B. (2019) The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846. DOI:10.1080/00207543.2018.1488086. Search in Google Scholar

21. Ivanov, D., Dolgui, A., Sokolov, B., Werner, F., & Ivanova, M. (2016) A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0. International Journal of Production Research, 54(2), 386-402. DOI:10.1080/00207543.2014.999958. Search in Google Scholar

22. Kayikci, Y. (2018) Sustainability impact of digitization in logistics. Procedia Manufacturing, 21, 782-789. DOI:10.1016/j.promfg.2018.02.184. Search in Google Scholar

23. Kos-Łabędowicz, J., & Urbanek, A. (2017) Do Information and Communications Technologies influence transport demand? An exploratory study in the European Union. Transportation research procedia, 25, 2660-2676. DOI:10.1016/j.trpro.2017.05.156. Search in Google Scholar

24. Lai, K. H., Wong, C. W., & Cheng, T. C. E. (2010) Bundling digitized logistics activities and its performance implications. Industrial Marketing Management, 39(2), 273-286. DOI:10.1016/j.indmarman.2008.08.002. Search in Google Scholar

25. Lin, C. Y., & Ho, Y. H. (2009) RFID technology adoption and supply chain performance: an empirical study in China’s logistics industry. Supply Chain Management, 14(5), 369-378. DOI:10.1108/13598540910980288. Search in Google Scholar

26. Liu, J., Yuan, C., Hafeez, M., & Yuan, Q. (2018) The relationship between environment and logistics performance: evidence from Asian countries. Journal of cleaner production, 204, 282-291. DOI:10.1016/j.jclepro.2018.08.310. Search in Google Scholar

27. Liu, S., Zhang, Y., Liu, Y., Wang, L., & Wang, X. V. (2019) An ‘Internet of Things’ enabled dynamic optimization method for smart vehicles and logistics tasks. Journal of cleaner production, 215, 806-820. DOI:10.1016/j.jclepro.2018.12.254. Search in Google Scholar

28. Madjidian, J., Gerlitz, L., Paulauskas, V., Jankowski, S., Henesey, L., Ölcer, A., Dalaklis, D., Ballini, F., Kitada, M. & Philipp, R. (2017) Developing a strategy for LNG powered transport corridors in the Baltic Sea Region. Search in Google Scholar

29. Marinagi, C., Trivellas, P., & Sakas, D. P. (2014) The impact of information technology on the development of supply chain competitive advantage. Procedia-Social and Behavioral Sciences, 147, 586-591. DOI:10.1016/j.sbspro.2014.07.161. Search in Google Scholar

30. Muhuri, P. K., Shukla, A. K., & Abraham, A. (2019) Industry 4.0: A bibliometric analysis and detailed overview. Engineering applications of artificial intelligence, 78, 218-235. DOI:10.1016/j.engappai.2018.11.007. Search in Google Scholar

31. Murfield, M., Boone, C. A., Rutner, P., & Thomas, R. (2017) Investigating logistics service quality in omni-channel retailing. International Journal of Physical Distribution & Logistics Management, 47(4), 263-296. DOI:10.1108/IJPDLM-06-2016-0161. Search in Google Scholar

32. Noussan, M., & Tagliapietra, S. (2020) The effect of digitalization in the energy consumption of passenger transport: An analysis of future scenarios for Europe. Journal of Cleaner Production, 258, 120926. DOI:10.1016/j.jclepro.2020.120926. Search in Google Scholar

33. Oleśków-Szłapka, J., & Stachowiak, A. (2018) The framework of logistics 4.0 maturity model. In: International Conference on Intelligent Systems in Production Engineering and Maintenance, 771-781. Springer, Cham. DOI:10.1007/978-3-319-97490-3_73. Search in Google Scholar

34. Philipp, R. (2020a) Digital readiness index assessment towards smart port development. Sustainability Management Forum, 28(1), 1-12. DOI:10.1007/s00550-020-00501-5. Search in Google Scholar

35. Philipp, R. (2020b) Blockchain for LBG Maritime Energy Contracting and Value Chain Management: A Green Shipping Business Model for Seaports. Environmental and Climate Technologies, 24, [Forthcoming] Search in Google Scholar

36. Philipp, R., Gerlitz, L., & Moldabekova, A. (2020b) Small and Medium-Sized Seaports on the Digital Track: Tracing Digitalisation across the South Baltic Region by Innovative Auditing Procedures. In: International Conference on Reliability and Statistics in Transportation and Communication, 351-362. Springer, Cham. DOI:10.1007/978-3-030-44610-9_35. Search in Google Scholar

37. Philipp, R., Gerlitz, L. & Prause, G. (2019c) Smart Contracts for Entrepreneurial Collaboration in Logistics Networks. In: 11th International Scientific Conference – New Challenges of Economic and Business Development – 2019: Incentives for Sustainable Economic Growth. At: University of Latvia – Riga, https://www.researchgate.net/publication/336316066 (accessed: May 2020) Search in Google Scholar

38. Philipp, R., Gerlitz, L., & Prause, G. (2018) Regionale Häfen auf Digitalisierungskurs: Intelligentes Wachstum und nachhaltige Wertschöpfung entlang der kleinen und mittel-großen Häfen des Ostseeraumes. In: Proceedings of WiWiTa 2018 Conference, 77-86. ISBN 978-3-942100-58-8 Search in Google Scholar

39. Philipp, R., Ozarska, A., & Prause, G. (2019a) Sustainable Electronic Product Development in the Baltic Sea Region: A Regional Gap Analysis of Lab Testing Services. Environmental and Climate Technologies, 23(3), 85-100. DOI:10.2478/rtuect-2019-0081. Search in Google Scholar

40. Philipp, R., Prause, G., & Gerlitz, L. (2019b) Blockchain and Smart Contracts for Entrepreneurial Collaboration in Maritime Supply Chains. Transport and Telecommunication Journal, 20(4), 365-378. DOI:10.2478/ttj-2019-0030. Search in Google Scholar

41. Philipp, R., Prause, G., & Meyer, C. (2020a) Blue Growth Potential in South Baltic Sea Region. Transport and Telecommunication Journal, 21(1), 69-83. DOI:10.2478/ttj-2020-0006. Search in Google Scholar

42. Stojanović, Đ., & Ivetić, J. (2020) Possibilities of using Incoterms clauses in a country logistics performance assessment and benchmarking. Transport Policy. DOI:10.1016/j.tranpol.2020.03.012. Search in Google Scholar

43. Strange, R., & Zucchella, A. (2017) Industry 4.0, global value chains and international business. Multinational Business Review, 25(3), 174-184. DOI:10.1108/MBR-05-2017-0028. Search in Google Scholar

44. Witkowski, K. (2017) Internet of things, big data, industry 4.0–innovative solutions in logistics and supply chains management. Procedia engineering, 182, 763-769. DOI:10.1016/j.proeng.2017.03.197. Search in Google Scholar

45. World Bank (n.d.) Logistics Performance Index, https://lpi.worldbank.org/ (accessed: May 2020) Search in Google Scholar

46. Zhou, C., Su, F., Pei, T., Zhang, A., Du, Y., Luo, B., ... & Song, C. (2020) COVID-19: Challenges to GIS with Big Data. Geography and Sustainability, 1, 77-87. DOI:10.1016/j.geosus.2020.03.005. Search in Google Scholar

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