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

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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