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Logistic process indicator (LPI) as the measure of infrastructural and regional development

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http://hdl.handle.net/20.500.14044/33974
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  • FIKUSZ – Symposium for Young Researcher 2020. [26]
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 160 country in order to perceive the global level of the LPI. Outcome of the artificial neural network is used to underline developed segments of the logistic process and those segments of the process that need to be further developed.
Title
Logistic process indicator (LPI) as the measure of infrastructural and regional development
xmlui.dri2xhtml.METS-1.0.item-description-titlenumber
1.
Author
Dimitrievska, Dragana
Mihajlović, Ivan
Veličkovska, Ivana
xmlui.dri2xhtml.METS-1.0.item-contributor-editor
Kelemen-Erdos, Aniko
Feher-Polgar, Pal
Popovics, Anett
xmlui.dri2xhtml.METS-1.0.item-date-issued
2020
xmlui.dri2xhtml.METS-1.0.item-rights-access
Open access
xmlui.dri2xhtml.METS-1.0.item-other-conferenceTitle
FIKUSZ '20 Symposium for young researchers
xmlui.dri2xhtml.METS-1.0.item-other-conferenceDate
2020. November 20.
xmlui.dri2xhtml.METS-1.0.item-language
en
xmlui.dri2xhtml.METS-1.0.item-format-page
19 p.
xmlui.dri2xhtml.METS-1.0.item-subject-oszkar
logistic process indicator, prediction, artificial neural network, logistics
xmlui.dri2xhtml.METS-1.0.item-description-version
Kiadói változat
xmlui.dri2xhtml.METS-1.0.item-other-containerTitle
FIKUSZ 2020 XV. International Conference Proceedings
xmlui.dri2xhtml.METS-1.0.item-other-containerPeriodicalYear
2020
xmlui.dri2xhtml.METS-1.0.item-other-containerIdentifierIsbn
978-963-449-235-1
xmlui.dri2xhtml.METS-1.0.item-type-type
Konferenciaközlemény
xmlui.dri2xhtml.METS-1.0.item-subject-area
Műszaki tudományok - közlekedéstudományok
xmlui.dri2xhtml.METS-1.0.item-publisher-university
Óbudai Egyetem
xmlui.dri2xhtml.METS-1.0.item-publisher-faculty
Keleti Károly Gazdasági Kar

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