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dc.contributor.authorÖnsel Ekici, Şule
dc.contributor.authorKabak, Özgür
dc.contributor.authorÜlengin, Füsun
dc.date.accessioned2018-04-02T21:02:35Z
dc.date.available2018-04-02T21:02:35Z
dc.date.issued2016-05
dc.identifier.citationÖnsel Ekici, Ş., Kabak, Ö., & Ülengin, F. (2016). Linking to compete: Logistics and global competitiveness interaction. Transport Policy, 48, 117-128, http://dx.doi.org/10.1016/j.tranpol.2016.01.015en_US
dc.identifier.issn0967-070X
dc.identifier.issn1879-310X
dc.identifier.other000374621700012 (WOS)
dc.identifier.urihttp://dx.doi.org/10.1016/j.tranpol.2016.01.015
dc.identifier.urihttp://hdl.handle.net/11376/3112
dc.descriptionÖnsel Ekici, Şule (Dogus Author)en_US
dc.description.abstractA country's ability to trade globally depends to a great extent on the traders' access to efficient logistics networks. The efficiency of logistics networks, in its turn, depends on government services, investments, and policies. Building infrastructure, developing a regulatory regime for transport services, and designing and implementing efficient customs clearance procedures are the areas where governments play an important role. One of the measures for logistics performance at national level is the Logistics Performance Index (LPI) published by the World Bank Group. LPI is composed of six indicators namely customs, infrastructure, service quality, timeliness, international shipments, and tracking and tracing. This study argues that there is a close relationship between global competitiveness and the logistics efficiency of a country and it analyzes the validity of these relations using an artificial neural network (ANN) and cumulative belief degrees (CBD) approach. For this purpose; initially, a screening process is carried out to find the World Economic Forum's competitiveness indicators that may have an impact on each of the LPI indicators. Subsequently, the relationship between the competitiveness indicators and LPI indicators is analyzed using ANN where the LPI indicators are represented by CBDs. As a case study, this methodology is used to analyze Turkey's logistics performance and to develop the basic strategies to be adopted by the government to achieve a targeted LPI level for the country. Among the many factors relating to logistics performance, it was found that fixed broadband Internet availability is the most important target area for improvement related to sustainable logistics policy.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.isversionof10.1016/j.tranpol.2016.01.015en_US
dc.rightsinfo:eu-repo/semantics/embargoedAccessen_US
dc.subjectLogistics Performanceen_US
dc.subjectCompetitivenessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectCumulative Belief Degreesen_US
dc.titleLinking to compete: Logistics and global competitiveness interactionen_US
dc.typearticleen_US
dc.relation.journalTransport Policyen_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.contributor.authorIDTR143828en_US
dc.contributor.authorIDTR149435en_US
dc.contributor.authorIDTR143825en_US
dc.identifier.volume48en_US
dc.identifier.startpage117en_US
dc.identifier.endpage128en_US


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