Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
Transport companies, whose activities have a significant impact on the economy of the whole of Europe, constantly face new market challenges. The high demand for transport services, even in the time of the Covid-19 pandemic, and the introduction of new regulations by the European Union authorities mean that these enterprises have to increase their efforts on competitive foreign markets. Telematics systems play a crucial role in this battle as they enable the acquisition and processing of data characterizing processes in road transport. In this article, the author undertakes the issue of logistic indicators in theoretical frames, as well as their classification and characteristics as the main source of information about processes. This is followed by the analysis of data obtained from a transport company using a telematics system to manage transport processes in the context of ensuring the quality of services. The aim of the study is to demonstrate the significance of selected logistics indicators in terms of improving the quality of transport services. Statistical analysis is used to study the relationships and impact of individual measures in 2019-2020 as a forecasting tool. The result of the research is finding an appropriate link between the measures and using this knowledge as an opportunity to improve the quality of services.
Czasopismo
Rocznik
Tom
Strony
176--183
Opis fizyczny
Bibliogr. 41 poz., rys., tab.
Twórcy
autor
- Czestochowa University of Technology, ul. J.H. Dąbrowskiego 69, 42-201 Częstochowa, Poland
Bibliografia
- 1. Apergis, E., Apergis, N., 2020. Inflation expectations, volatility and Covid-19: evidence from the US inflation swap rates. Applied Economics Letters, 1-5, DOI: 10.1080/13504851.2020.1813245
- 2. Badzińska, E., Cichorek, S., 2015. Telematic Systems in Support of Fleet Management in Road Transport – a Case Study, Zeszyty Naukowe Uniwersytetu Szczecińskiego. Problemy Zarządzania, Finansów i Marketingu, 41(875), 411-422, DOI: 10.18276/pzfm.2015.41/2-33
- 3. Budd, L., Ison, S., 2020. Transportation Research Interdisciplinary Perspectives Responsible Transport: A post-COVID agenda for transport policy and practice. Transportation Research Interdisciplinary Perspectives, 6, 100151, DOI: 10.1016/j.trip.2020.100151
- 4. Cudziło, M., Kolińska, K., 2014. Comparison of logistics indicators as a way of improving efficiency of supply chains. Research in Logistics & Production, 4(1), 21-31.
- 5. Dzhuguryan T., Deja A., Wiśnicki B., Jóźwiak Z., 2020. The Design of Sustainable City Multi-Floor Manufacturing Processes Under Uncertainty in Supply Chains. Sustainability, 12(22), 9439, DOI: 10.3390/su12229439.
- 6. Dzhuguryan T., Deja A., 2021. Sustainable Waste Management for a City Multifloor Manufacturing Cluster: A Framework for Designing a Smart Supply Chain. Sustainability, 13(3), 1540, DOI: 10.3390/su13031540.
- 7. Franceschini, F., Rafele, C., 2000. Quality evaluation in logistic services. International Journal of Agile Management Systems, 2(1), 49-54, DOI: 10.1108/14654650010312589.
- 8. 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, DOI: 10.1016/j.tre.2016.12.008.
- 9. 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.
- 10. Ho, S.-J., Xing, W., Wu, W., Lee, C.-C., 2021. The impact of COVID-19 on freight transport: Evidence from China, MethodsX, 8, 101200, DOI: 10.1016/j.mex.2020.101200.
- 11. Ingaldi, M., Ulewicz, R., 2020. Problems with the implementation of industry 4.0 in enterprises from the SME sector. Sustainability (Switzerland), 12(1), DOI: 10.3390/SU12010217.
- 12. Kamiński T., 2019. Wybrane zagadnienia Inteligentnych Systemów Transportowych, Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa.
- 13. Kauf, S., 2016. City logistics - A Strategic Element of Sustainable Urban Development. Transportation Research Procedia, 16(03), 158-64, DOI: 10.1016/j.trpro.2016.11.016.
- 14. Kucukaltan, B., Irani, Z., Aktas, E., 2016. A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358, DOI: 10.1016/j.chb.2016.08.045.
- 15. Liu, L., Wang, E.-Z., Lee, C.-C., 2020. Impact of the COVID-19 pandemic on the crude oil and stock markets in the US: A time-varying analysis. Energy Research Letters, 1, 1-5, DOI: 10.46557/001c.13154.
- 16. Liu, T., Pan, B., Yin, Z., 2020. Pandemic, Mobile Payment, and Household Consumption: Micro-Evidence from China, Emerging Markets Finance and Trade, 56(10), 2378-2389, DOI: 10.1080/1540496X.2020.1788539.
- 17. Liu, X., Grant, D. B., McKinnon, A. C., Feng, Y., 2010. An empirical examination of the contribution of capabilities to the competitiveness of logistics service providers: A perspective from China, International Journal of Physical Distribution and Logistics Management, 40(10), 847–866, DOI: 10.1108/09600031011093232.
- 18. Loske, D., 2020. Transportation Research Interdisciplinary Perspectives The impact of COVID-19 on transport volume and freight capacity dynamics : An empirical analysis in German food retail logistics, Transportation Research Interdisciplinary Perspectives, 6, 100165, DOI: 10.1016/j.trip.2020.100165.
- 19. Łukasik, Z., Fijałkowska, A. K., Olszańska, S., 2017. Podejście całościowe w planowaniu procesu transportu drogowego. Efektywność transportu, 12, 595–599.
- 20. Martin, Ľ., Dolinayová, A., 2015. Evaluation Quality the freight Transport through Application of Methods multi-criteria Decision. Procedia Economics and Finance, 34, 210–216, DOI: 10.1016/S2212-5671(15)01621-4.
- 21. Muangmee, C., Kot, S., Meekaewkunchorn, N., Kassakorn, N., Khalid, B. 2021. Factors determining the behavioral intention of using fooddelivery apps during covid-19 pandemics. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1297-1310, DOI:10.3390/jtaer16050073.
- 20. Muntean, M., Cabău, L. G., Rînciog, V., 2014. Social Business Intelligence: A New Perspective for Decision Makers, Procedia - Social and Behavioral Sciences, 124, 562–567, DOI: 10.1016/j.sbspro.2014.02.520.
- 21. Narayan, P. K., 2020. Oil price news and COVID-19—Is there any connection? Energy Research Letters, 1, 1–5, DOI: 10.46557/001c.13176.
- 22. Neumann, T., 2017. Wykorzystanie systemów telematyki na przykładzie wybranych przedsiębiorstw transportu drogowego, Efektywność Transportu, 12, 605–610.
- 23. Nowakowska-Grunt, J., Mazur, M., 2016. Effectiveness of logistics processes of SMES in the metal industry. METAL 2016 - 25th Anniversary International Conference on Metallurgy and Materials, Conference Proceedings, Ostrava, Tanger, 1956–1961.
- 24. Park, S., 2020. Quality of transport infrastructure and logistics as source of comparative advantage, Transport Policy, 99(07), 54–62, DOI: 10.1016/j.tranpol.2020.07.016.
- 25. Reshetko, N., Safronova, A., Vakulenko, S., Sokolova, A., Kurenkov, P., 2021. Quality Assessment of Management Decisions in the System of Marketing and Public Relations of a Transport Enterprise, Transportation Research Procedia, 54, 380–387, DOI: 10.1016/j.trpro.2021.02.087.
- 26. Rezaei, J., van Roekel, W. S., Tavasszy, L., 2018. Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68(12. 2017), 158–169, DOI: 10.1016/j.tranpol.2018.05.007.
- 27. Said, H., Nicoletti, T., Perez-Hernandez, P., 2016. Utilizing Telematics Data to Support Effective Equipment Fleet-Management Decisions: Utilization Rate and Hazard Functions, Journal of Computing in Civil Engineering, 30(1), p. 04014122, DOI: 10.1061/(asce)cp.1943-5487.0000444.
- 28. Sałek, R., 2017. The Role of Information Technologies As Tools for the Integration of Transport Processes in the Logistic Supply Chain. Informatyka Ekonomiczna, 2(44), 94–106, DOI: 10.15611/ie.2017.2.08.
- 29. Sałek, R., Kliś, M., 2012. Zastosowanie systemów telematycznych w zarządzaniu przedsiębiorstwem transportowym. [in:] Wójcik-Mazur, A., [ed.] Teoretyczne i praktyczne aspekty zarządzania przedsiębiorstwem, Sekcja Wydawnicza Wydziału Zarządzania Politechniki Częstochowskiej, 69-80.
- 30. Sarkis, J., Kouhizadeh, M., Zhu, Q. S., 2020. Digitalization and the greening of supply chains. Industrial Management and Data Systems, 121(1), 65–85, DOI: 10.1108/IMDS-08-2020-0450.
- 31. Sirina, N., Zubkov, V., 2021. Transport Services Management on Transport and Logistic Methods. TransSiberia 2020 Conference, Transportation Research Procedia, 54(2020), 263–273, DOI: 10.1016/j.trpro. 2021.02.072.
- 32. Ślusarczyk, B., Pypłacz, P., 2020. Industry 4.0 In Polish Smes In The Aspect Of Innovation Possibilities. International Journal of Economics and Finance Studies, 12(2), 255–270, DOI: 10.34109/ijefs.202012201.
- 33. Somapa, S., Cools, M., Dullaert, W., 2018. Characterizing supply chain visibility – A literature review. International Journal of Logistics Management, 29(1), 308–339, DOI: 10.1108/IJLM-06-2016-0150.
- 34. The, L., 2021. Emerging digitalisation technologies in freight transport and logistics: Current trends and future directions. Transportation Research Part E, 148(March), DOI: 10.1016/j.tre.2021.102291.
- 35. Torbacki, W., Kijewska, K., 2019. Identifying key performance indicators to be used in logistics 4.0 and industry 4.0 for the needs of sustainable municipal logistics by means of the DEMATEL method. Transportation Research Procedia, 39(2018), 534–543, DOI: 10.1016/j.trpro.2019.06.055.
- 36 Trajkov, A., Biljan, J., 2012. Logistic services trade balance as indicator of Macedonian logistic industry potential. Procedia - Social and Behavioral Sciences, 44, 314–322, DOI: 10.1016/j.sbspro.2012.05.034.
- 37. Werner-Lewandowska, K., Kosacka-Olejnik, M., 2019. Logistics 4.0 Maturity in service industry: Empirical research results. Procedia Manufacturing, 38, 1058–1065, DOI: 10.1016/j.promfg.2020.01.192.
- 38. Woźniak, W., Stryjski, R., 2018. Analiza wybranych metod optymalizacyjnych w transporcie drogowym. Prace Naukowe PW-Transport, 120, 447–458.
- 39. Yue, P., Gizem Korkmaz, A., Zhou, H., 2020. Household Financial Decision Making Amidst the COVID-19 Pandemic. Emerging Markets Finance and Trade, 56(10), 2363–2377, DOI: 10.1080/1540496X.2020.1784717.
- 40. Ziyadin, S., Sousa, R.D., Malayev, K., Yergobek, D., Nurlanova, A. 2020, The influence of logistics innovations on management of freight-transportation processes. Polish Journal of Management Studies, 21(1), 432-446, DOI: 10.17512/pjms.2020.21.1.32.
- 41. Zhang, J., Hayashi, Y., Frank, L. D., 2021. COVID-19 and transport : Findings from a world-wide expert survey. Transport Policy, 103(01), 68–85, DOI: 10.1016/j.tranpol.2021.01.011.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-00ef482a-15fe-4659-b7f5-24ad856c6629