• Journal of Korea Port Economic Association
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• v.34 no.2
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• pp.83-96
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• 2018

The improvement in logistics competitiveness is the key element of corporate competitiveness in the era of severe competition among companies and high oil prices due to globalization. For this reason, this study analyzed the effect of transportation mode selection factors of Indonesian export companies on the logistic performance in accordance with the logistics environment. The results of the analysis show that only the cargo characteristics, which are the transportation mode selection factor of export companies, had a significant effect on logistics; the services, time, and expenses, on the other hand, had no effect on logistics performances. This result reflects the poor logistic infrastructure of Indonesia. While the export company considers service, time, and expenses when choosing transportation mode, it had no effect on logistic performances due to poor logistic infrastructure. The poor logistic infrastructure of Indonesia has caused a rise in the overall logistic expenses of companies due to excessive transportation time over the transportation distance, unavailability of on-time acceptance and delivery, and increase in the transportation expenses and subsidiary expenses. These are also the factors that decrease the competitiveness of export companies and affect the promotion of the manufacturing industry and foreign investment for the purpose of job creation and industrialization by the Indonesian government. Therefore, the logistics infrastructure must be improved initially. This study determines various points in terms of the logistics infrastructure environment of Indonesia, a developing country, using previous studies and provides their implications.

• Proceedings of KOSOMES biannual meeting
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• 2017.11a
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• pp.97-97
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• 2017

• Journal of Distribution Science
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• v.14 no.7
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• pp.45-52
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• 2016

Purpose - The purpose of the paper is to look into and review the management and operation of Chinese infrastructure process, especially focusing on port industry. Research design, data and methodology - The research methods to be applied is to examine PPPs that is a key way of cooperation in many infrastructure investment, financial matters, and then port industry as well. Results - It is well noticed that Chinese government has well managed with project, planning and investments in national infrastructure matters. Especially, this is clear message that government institutions for infrastructure planning has been well organized with systematic structure. However, even if it is involved with some risky business, PPPs should be asked for cooperation in the areas of financial, institutional and logistic part of infrastructure development in China. Conclusions - Every country has been in promoting its infrastructure development and it is not an exception in China. In order to get over inefficiency done by public sectors, Chinese government has invited a private sector in the form of PPPs, which gives more competitive opportunities, especially in port industry.

• Journal of Distribution Science
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• v.21 no.1
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• pp.53-63
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• 2023

Purpose: Big Data analytics (BDA) has been recognized to improve firm performance because it can efficiently manage and process large-scale, wide variety, and complex data structures. This study examines the determinants of Big Data analytics adoption toward marketing and financial performance of global logistic companies in Thailand. The research framework is adopted from the technology-organization-environment (TOE) model, including technological factors (relative advantages), organizational factors (technological infrastructure and absorptive capability), environmental factors (industry competition and government support), Big Data analytics adoption, marketing performance, and financial performance. Research design, data, and methodology: A quantitative method is applied by distributing the survey to 450 employees at the manager's level and above. The sampling methods include judgmental, stratified random, and convenience sampling. The data were analyzed by Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM). Results: The results showed that all factors significantly influence Big Data analytics adoption, except technological infrastructure. In addition, Big Data analytics adoption significantly influences marketing and financial performance. Conversely, marketing performance has no significant influence on financial performance. Conclusions: The findings of this study can contribute to the strategic improvement of firm performance through Big Data analytics adoption in the logistics, distribution, and supply chain industries.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1436-1442
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• 2020

Nuclear infrastructure systems play an important role in national security. The functions and missions of nuclear infrastructure systems are vital to government, businesses, society and citizen's lives. It is crucial to design nuclear infrastructure for scalability, reliability and robustness. To do this, we can use machine learning, which is a state of the art technology used in various fields ranging from voice recognition, Internet of Things (IoT) device management and autonomous vehicles. In this paper, we propose to design and develop a machine learning algorithm to perform predictive maintenance of nuclear infrastructure. Support vector machine and logistic regression algorithms will be used to perform the prediction. These machine learning techniques have been used to explore and compare rare events that could occur in nuclear infrastructure. As per our literature review, support vector machines provide better performance metrics. In this paper, we have performed parameter optimization for both algorithms mentioned. Existing research has been done in conditions with a great volume of data, but this paper presents a novel approach to correlate nuclear infrastructure data samples where the density of probability is very low. This paper also identifies the respective motivations and distinguishes between benefits and drawbacks of the selected machine learning algorithms.

• Journal of Korea Trade
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• v.23 no.4
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• pp.17-29
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• 2019

Purpose - This study examines the relationship between public-private partnerships and the performance of ports based on three factors: the quality of the port infrastructure, container throughput, and logistic performance in three Latin American countries, Mexico, Panama, and Brazil, for the period of 1994-2017. Design/methodology - The selected countries are top ranked in terms of container throughput in Latin America. The methodology employs secondary data from the World Bank (Quality of Port Infrastructure, Logistics Performance Index, and Private Participation in infrastructure database). Findings - Overall, the results revealed that the private investment of these countries varies significantly over the past couple decades. Panama, with the least public-private investment over the study period, performs better than Mexico and Brazil with regards to port quality infrastructure and container throughput. For ports in the selected countries to keep up with global competition, there is a need to enhance efficiency. Originality/value - Compared with ports in Asia, Latin American ports are lagging behind with respect to container throughput and efficiency. This study suggests greater collaboration from the private sector, academia, and other organizations, as well as a review of the regulatory framework to ensure better transparency and project allocation. Throwing more light on the public-private investment environment of Mexico, Brazil, and Panama, this study offers policy makers and regulators insightful information on port infrastructure.

• Journal of Korea Port Economic Association
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• v.25 no.4
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• pp.63-82
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• 2009

The purpose of this study is to construct the logistics infrastructure for the exploitation of Saemangeum New Port that will be constructed in near future. To accomplish the purpose, this paper grasp the change of port logistics circumstances firstly. find out the project of the new port and construct the logistics infrastructure for the new port with the basic facts of the port competitiveness. The construction of the logistics infrastructure for the exploitation of Saemangeum New Port will be conducted as follows ; (1) Construction of logistics environment (2) Planning the port marketing for the extension a logistic market share (3) Construction of logistics chain and IT Network and finally (4) Construction of logistics community.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.33-40
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• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• International Commerce and Information Review
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• v.12 no.2
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• pp.267-290
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• 2010

The Kaes$\breve{o}$ng Industrial Park(KIP) is being developed in the region, as a collaborative economic development with South Korea. KIP construction started in June 2003, and in August 2003 North and South Korea ratified four tax and accountancy agreements to support investment. Pilot phase construction was completed in june 2004, and the KIP opened in December 2004. In the KIP's initial phase, 15 South Korean companies constructed manufacturing facilities. Three of the companies had started operations by march 2005. First phase plans envisaged participation by 250 South Korean companies from 2006, employing 100,000 people by 2007. Based on the 2009, 117 factories were employing approximately 41,000 north' workers and 1,000 south' staff. The industrial park is seen as a way for South Korean companies to employ cheap labour that is educated, skilled and speaks Korean which would make communication considerably easier. However the zone still faces a number of obstacles. In the view point of these obstacles, especially this study focused on the complementary issues for the improvement of trade goods management systems between South and North Korea. At the result of this study, it is suggested that, i) to establish portal system based on single window, ii) strengthen user-interface hands of logistic facilities, iii) stable foundations of trade and/or logistic management systems, iv) networking of IT infrastructure with South and North Korea, and so on.

• The Journal of Asian Finance, Economics and Business
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• v.2 no.3
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• pp.33-36
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• 2015

Innovations in the procurement logistics now is very popular in Kazakhstan. Nowadays there are a lot of documents of transport infrastructure and Kazakhstan logistic system is developing more and more. Procurement logistic is the direction where you can count, sometimes you can buy some products or transport equipments. Logistic in Kazakhstan is new direction, there are a lot of young people who choose this specialty and will stay demanded. Our president said a lot of words in strategies about development in logistics and so there will be new methods that will be used here. Innovations are new technologies that are used in different spheres so this structure as procurement logistic will develop in Kazakhstan and every citizen of our republic will support it. Transport systems are used for transitions different products so there are a lot new transition roads for example Western China - Western Europe; Astana-Almaty; Astana-Ust-Kamenogorsk; Astana-Aktobe, Atyrau; Almaty - Ust-Kamenogorsk; Karaganda - Zhezkazgan - Kyzylorda; Atyrau-Astrakhan, it helps Kazakhstan to support international links between other countries.