• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.435-444
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• 2020

This study investigates the role of logistics capability and logistics outsourcing on the performance of manufacturing companies in Pakistan. It examines how logistics capability affects firm's performance, why outsourcing is essential and how firms benefited if they outsource the service rather than establishing their own logistics capability. This research is based on a survey using structured a questionnaire to collect the primary data. The target population is logistics specialists of manufacturing companies in Pakistan with head offices based on Karachi, that have their own logistics or outsource their logistics. The questionnaire has been distributed to 500 respondents in 113 manufacturing companies in Pakistan. Confirmatory factor analysis has been used as statistical techniques to check the factor loading of the components, and SEM (Structural Equation Model) is used to check the impact of logistics capability on firm's performance as well as the role of logistics outsourcing as a mediator. The findings of the research suggest logistics capability has positive impact on the performance of the manufacturing companies in Pakistan, and logistics capability has also an impact on logistics outsourcing. On the other hand, the study found that logistics outsourcing has no significant impact on the manufacturing companies in Pakistan.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.2
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• pp.168-175
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• 2023

In the era of the 4th Industrial Revolution, Logistic 4.0 using data-based technologies such as IoT, Bigdata, and AI is a keystone to logistics intelligence. In particular, the AI technology such as prognostics and health management for the maintenance of logistics facilities is being in the spotlight. In order to ensure the reliability of the facilities, Time-Based Maintenance (TBM) can be performed in every certain period of time, but this causes excessive maintenance costs and has limitations in preventing sudden failures and accidents. On the other hand, the predictive maintenance using AI fault diagnosis model can do not only overcome the limitation of TBM by automatically detecting abnormalities in logistics facilities, but also offer more advantages by predicting future failures and allowing proactive measures to ensure stable and reliable system management. In order to train and predict with AI machine learning model, data needs to be collected, processed, and analyzed. In this study, we have develop a system that utilizes an AI detection model that can detect abnormalities of logistics rotational equipment and diagnose their fault types. In the discussion, we will explain the entire experimental processes : experimental design, data collection procedure, signal processing methods, feature analysis methods, and the model development.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.1
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• pp.132-141
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• 2008

This research was conducted in order to present the strategies of implementing the logistics information system for effective logistics cost management with the case study of a leading global company. The strategy for effective logistics information system can be derived from the 3 different viewpoints, Firstly the effective global logistics management can be insured by means of the efforts of the reinforced total organization. Secondly from the process-oriented perspective, we should recognize the logistics process as the core factor of the competitive strategy and innovate the logistics process itself for the logistics cost reduction. Finally, the logistics cost will be effectively managed through establishing its logistics information strategy which maximizes the utilization of the information technologies. The case study of 'A' electronics company shows that its logistics management system provides the company with various visibilities about its logistics cost and the direct and indirect benefits over billions of wons per year as well. Therefore we can conclude that the research model provided in this research is validated. This study presents the concrete implementation strategies of the logistics information system and verifies the validity of the strategies by means of the case study of a leading company.

• Journal of Korea Port Economic Association
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• v.27 no.4
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• pp.37-49
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• 2011

By strengthening the market control and expanding the networks, providers of global logistics are expanding their service scope. E-logistics connects e-business to internal and external information system by using WMS, TMS, and OMS. The paper focuses on analyzing the efficiency of the tope fifty Global Logistics Providers. Therefore, the study classifies the factors which specify the efficiency of a total logistics industry and verified its firmness. Furthermore, the most recently published reports by Logistics Quarterly and Armstrong Association in 2011 was used in order to guarantee credibility of the study. This study utilizes three years of materials, from 2007, 2008, 2009 on publish 2010, for scope period for analysis. By applying SBM (Slack Based Measure) & the DEA Window model, the trend in efficiency and stableness was analyzed. Consequently, the main purpose of the paper is evaluating the efficiency. Also, analyzing its determinants and illustrating a long-term relationship between the annual turnover and major shippers was used as output measures. In addition, the number of information system operations, the grade of information systems, and employee of Logistics Providers was used as input measures.

• Journal of Navigation and Port Research
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• v.41 no.2
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• pp.71-78
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• 2017

This paper aims to investigate the time-varying systematic risk of the stocks of Korean logistics firms. For this purpose, the period from January 1991 to October 2016 was examined with respect to 21 logistics companies that are listed on the Korea Exchange. The systematic risk of the logistics stocks is measured in terms of the Capital Asset Pricing Model (CAPM) beta for which the sensitivity of a stock is compared to the return changes of the whole market. Overall, the betas of the stocks of the Korean logistics companies are significantly lower than those of the market unity; however, it was revealed that the logistics betas are not constant, but are actually time-varying according to different economic regimes, which is consistent with the previous empirical findings. This finding is robust across different measurements of the logistics betas. In addition, the impact of macroeconomic factors on the logistics betas was examined. The present study shows that the logistics betas are positively associated with foreign exchange-rate changes.

• Journal of Information Processing Systems
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• v.19 no.4
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• pp.407-416
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• 2023

In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote the development of the logistics industry, the selection of appropriate port logistics location is the basis of giving full play to the port logistics function. In order to better realize the selection of port logistics, this paper adopts the entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation model of port logistics location. Then through the actual case, from the environmental dimension and economic competition dimension to make choices and analysis. The results show that port d has the largest logistics competitiveness and the highest relative proximity among the three indicators of hinterland city economic activity, hinterland economic structure, and port operation capacity of different port logistics locations, which has absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensional selection of port logistics site selections.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.201-211
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• 2021

In this paper, we propose that logistics companies will have different business models when using blockchain technology. In addition, it intends to understand the difference in absorptive capacity and performance of logistics companies using blockchain technology. In order to achieve this research objective, this study conducted a survey on logistics companies and analyzed the collected data. Cluster analysis was performed to understand the business model, and ANOVA was performed to understand the significance of cluster analysis. The difference in absorptive capacity and performance was analyzed according to the business model identified through cluster analysis. In addition, PLS analysis was conducted to determine the difference in absorption capacity and performance. The results show that logistics companies have different types of business models in adopting blockchain technology. Logistics companies groups with high degree of development of business models showed high results in terms of absorption capacity and performance level.

• 한국산학경영학회:학술대회논문집
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• 2006.06a
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• pp.103-123
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• 2006

Resources circulation logistics factor has come to be one of the most important concerns in today's business due to the need for conscious use of limited resources and the greenhouse effects. The purpose of this study was to propose strategic approaches to improve firm's competitive advantages by exploring the logistics practices that increase firm's logistics performance and reduce environmental problems at the same time. In doing so, we reviewed past literature on Resources circulation logistics factor, logistics operation level, and firm's logistics Performance, and then developed a conceptual model and researchable hypotheses, Survey data were collected from manufacturing companies to test the hypotheses. Survey data included the variables of Resources circulation logistics factor, logistics operation practices, and firm's performance. Firm's performance was measured by customer service and logistics costs.

• East Asian Journal of Business Economics (EAJBE)
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• v.3 no.4
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• pp.21-28
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• 2015

With CJK FTA as a starting point, this paper mainly studied the role of the logistics legal system in promoting marine industrial cooperation, facilitating investment trade, establishing international transport logistics, building marine economy international cooperation demonstration zone and deepening the economic and financial cooperation between China, Japan and Korea, and explored the way to establish an integrated logistics system between China, Japan and Korea to match the e-commerce certification system, online payment system and logistics distribution, thereby gradually promoting economic development and logistics integration in Northeast Asia, improving logistics efficiency, reducing logistics costs and establishing a unified logistics industry standardization system. This will accelerate logistics industry integration in Northeast Asia, build a unified logistics management center in Northeast Asia, and promote a new model of integrated logistics cooperation in Northeast Asia. Therefore, it has a practical and reference significance. In short, the improvement for the logistics legal system in CJK FTA is not the responsibility of a country or several countries. It concerns the development and prosperity for the logistics industry in the three countries and is an inevitable choice to promote the vigorous development of CJK FTA and economic take-off of each country.

• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.