Logistic process indicator (LPI) as the measure of infrastructural and regional development
Конференцијски прилог (Објављена верзија)
Метаподаци
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Logistics represents a network of services that support the physical movement of goods, international trade and commerce within borders. The volume of international trade highly depends on factors facilitating trade and contributing to reducing its costs. Logistic is affecting the speed of globalization through optimizing the supply chain. Furthermore, this interdependence is the reason why the improvement of logistic is seen as an essential element of the regional and global development. The main aim of this study is to investigate the impact of key dimensions that affect the logistic process indicator (LPI) and to highlight their importance by applying the adequate methodology of its modeling. The evaluation of the LPI is performed using variables that include customs, infrastructure, ease of international shipments, logistics services quality, tracking and tracing and timeliness. Parameters have been collected for the period from 2007 to 2018. The extensive research is considering t...he data from 151 country in order to perceive the global level of the LPI. Outcome of the multiple linear regression is used to underline developed segments of the logistic process and those segments of the process that need to be further developed.
Кључне речи:
logistic process indicator / prediction / artificial neural networkИзвор:
XV FIKUSZ 2020 International Conference - Symposium for young researchers, 2020Издавач:
- Óbuda University – Keleti Faculty, Budapest, Hungary
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200131 (Универзитет у Београду, Технички факултет у Бору) (RS-MESTD-inst-2020-200131)
Институција/група
Mašinski fakultetTY - CONF AU - Dimitrijevska, Dragana AU - Mihajlović, Ivan AU - Veličkovska, Ivana PY - 2020 UR - https://machinery.mas.bg.ac.rs/handle/123456789/5508 AB - Logistics represents a network of services that support the physical movement of goods, international trade and commerce within borders. The volume of international trade highly depends on factors facilitating trade and contributing to reducing its costs. Logistic is affecting the speed of globalization through optimizing the supply chain. Furthermore, this interdependence is the reason why the improvement of logistic is seen as an essential element of the regional and global development. The main aim of this study is to investigate the impact of key dimensions that affect the logistic process indicator (LPI) and to highlight their importance by applying the adequate methodology of its modeling. The evaluation of the LPI is performed using variables that include customs, infrastructure, ease of international shipments, logistics services quality, tracking and tracing and timeliness. Parameters have been collected for the period from 2007 to 2018. The extensive research is considering the data from 151 country in order to perceive the global level of the LPI. Outcome of the multiple linear regression is used to underline developed segments of the logistic process and those segments of the process that need to be further developed. PB - Óbuda University – Keleti Faculty, Budapest, Hungary C3 - XV FIKUSZ 2020 International Conference - Symposium for young researchers T1 - Logistic process indicator (LPI) as the measure of infrastructural and regional development UR - https://hdl.handle.net/21.15107/rcub_machinery_5508 ER -
@conference{ author = "Dimitrijevska, Dragana and Mihajlović, Ivan and Veličkovska, Ivana", year = "2020", abstract = "Logistics represents a network of services that support the physical movement of goods, international trade and commerce within borders. The volume of international trade highly depends on factors facilitating trade and contributing to reducing its costs. Logistic is affecting the speed of globalization through optimizing the supply chain. Furthermore, this interdependence is the reason why the improvement of logistic is seen as an essential element of the regional and global development. The main aim of this study is to investigate the impact of key dimensions that affect the logistic process indicator (LPI) and to highlight their importance by applying the adequate methodology of its modeling. The evaluation of the LPI is performed using variables that include customs, infrastructure, ease of international shipments, logistics services quality, tracking and tracing and timeliness. Parameters have been collected for the period from 2007 to 2018. The extensive research is considering the data from 151 country in order to perceive the global level of the LPI. Outcome of the multiple linear regression is used to underline developed segments of the logistic process and those segments of the process that need to be further developed.", publisher = "Óbuda University – Keleti Faculty, Budapest, Hungary", journal = "XV FIKUSZ 2020 International Conference - Symposium for young researchers", title = "Logistic process indicator (LPI) as the measure of infrastructural and regional development", url = "https://hdl.handle.net/21.15107/rcub_machinery_5508" }
Dimitrijevska, D., Mihajlović, I.,& Veličkovska, I.. (2020). Logistic process indicator (LPI) as the measure of infrastructural and regional development. in XV FIKUSZ 2020 International Conference - Symposium for young researchers Óbuda University – Keleti Faculty, Budapest, Hungary.. https://hdl.handle.net/21.15107/rcub_machinery_5508
Dimitrijevska D, Mihajlović I, Veličkovska I. Logistic process indicator (LPI) as the measure of infrastructural and regional development. in XV FIKUSZ 2020 International Conference - Symposium for young researchers. 2020;. https://hdl.handle.net/21.15107/rcub_machinery_5508 .
Dimitrijevska, Dragana, Mihajlović, Ivan, Veličkovska, Ivana, "Logistic process indicator (LPI) as the measure of infrastructural and regional development" in XV FIKUSZ 2020 International Conference - Symposium for young researchers (2020), https://hdl.handle.net/21.15107/rcub_machinery_5508 .