Linking to compete: logistics and global competitiveness interaction

Önsel Ekici, Şule and Kabak, Özgür and Ülengin, Füsun (2016) Linking to compete: logistics and global competitiveness interaction. Transport Policy, 48 . pp. 117-128. ISSN 0967-070X (Print) 1879-310X (Online)

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A 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 Perfor- mance 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 cu- mulative 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.
Item Type: Article
Uncontrolled Keywords: Logistics performance; Competitiveness; Artificial neural network; Cumulative belief degrees
Subjects: H Social Sciences > HE Transportation and Communications
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Depositing User: Füsun Ülengin
Date Deposited: 14 Jun 2016 10:58
Last Modified: 14 Jun 2016 10:58

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