• Journal of Korea Port Economic Association
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• v.31 no.4
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• pp.169-187
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• 2015

Ports as central factors of the logistics industry and principal bases in industrial activities play a significant role in the development of the social economy. This paper takes the throughput data from 2000 to 2014 of 10 container ports located in China as the research object with the Gini coefficient and employs the shift-share analysis. It aims to analyze the changes in port concentration and movement of container throughputs and propose a stage of development port system in China. The results are as follows. First, the system of container ports clearly moves northward. According to the above shift-share analysis, the throughput moves from the Pearl River Delta to the other two regions. This indicates that the center of Chinese container port system moves northward. Second, container port diversification development takes a representative position in the change of container throughput space structure. According to the calculation results of Gini coefficient, diversified development gradually predominates the change of container throughput space structure.

• Knowledge Management Research
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• v.19 no.3
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• pp.31-46
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• 2018

Despite the organizational benefits of knowledge sharing among employees, many workers are reluctant to share their knowledge with their colleagues. Most organizations have taken a lot of actions to facilitate knowledge sharing among employees, including developing reward systems, enhancing social networks and interpersonal relationships and crafting organizational cultures that support knowledge sharing. To date, however, earlier studies have demonstrated that knowledge doesn't flow easily when an organization makes a concerted effort to facilitate knowledge sharing. The issue whether or not employees are motivated to share their knowledge with others is definitely the main concern in knowledge sharing. The purpose of this study is to explore the conditions under which employees are inclined to share knowledge with other members. Specifically, we examine the effect of knowledge self-efficacy on knowledge sharing intention. In addition, we attempt to investigate medicating effects of personal outcome expectation and performance-related outcome expectation on the relationship between knowledge self-efficacy and knowledge sharing intention. To test the proposed hypotheses in our study, we collected data via a survey with a sample of 210 employees in 23 firms in Korea. The major findings of the empirical research are as follows: 1) knowledge self-efficacy was positively related with knowledge sharing intention. 2) personal outcome expectation has turned out to have a mediation effect on the relationship between knowledge self-efficacy and knowledge sharing intention. 3) performance-related outcome expectation also mediates the relationship between knowledge self-efficacy and knowledge sharing intention That is, this result indicates that knowledge self-efficacy has indirect effect on knowledge sharing intention through personal outcome expectation and performance-related outcome expectation. Based on these findings, implications of the research findings and recommendation for future research are discussed.

• Journal of the Economic Geographical Society of Korea
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• v.5 no.2
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• pp.175-185
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• 2002

This study aims to reveal what locational changes of foreign direct investment are prominent in Korea after the economic restructuring programs beginning in 1997. These locational changes would have some potential impacts on the local or national economy. One can expect that concentration in the Seoul Metropolitan Area (SMA) would have intensified after the restructuring because the competitiveness focus would have led foreign investors to high potential areas. An analysis of the data on foreign-invested companies in the manufacturing sector shows that this expectation has come into reality. Within SMA, Seoul shows even bigger changes in the locational share than surrounding areas. Also prominent are increases of the locational share of the SMA in the electrical and electronic companies and in those companies with less than fifty percent investment share. But this pattern is not found distinctly by home country of investment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.12
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• pp.4552-4567
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• 2014

A (n,t,n) secret sharing scheme is to share a secret among n group members, where each member also plays a role of a dealer,and any t shares can be used to recover the secret. In this paper, we propose a strong (k,t,n) verifiable multi-secret sharing scheme, where any k out of n participants operate as dealers. The scheme realizes both threshold structure and adversary structure simultaneously, and removes a trusted third party. The secret reconstruction phase is performed using an additive homomorphism for decreasing the storage cost. Meanwhile, the scheme achieves the pre-verification property in the sense that any participant doesn't need to reveal any information about real master shares in the verification phase. We compare our proposal with the previous (n,t,n) secret sharing schemes from the perspectives of what kinds of access structures they achieve, what kinds of functionalities they support and whether heavy storage cost for secret share is required. Then it shows that our scheme takes the following advantages: (a) realizing the adversary structure, (b) allowing any k out of n participants to operate as dealers, (c) small sized secret share. Moreover, our proposed scheme is a favorable candidate to be used in many applications, such as secure multi-party computation and privacy preserving data mining, etc.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.72
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• pp.185-210
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• 2016

The climate change has become one of the most important global issues that require global responses. As one of the leading contributions to climate change, greenhouse gas emissions and Ballast Water Management have attracted growing attention from the international community. The International Maritime Organization (IMO) received its mandate to regulate International Convention for the Control and Management of Ships' Ballast Water and Sediments in 2004. The convention requires that every vessel must be equipped Ballast Water Management System (BWMS) in 2017. Based on this situation, this study aims to analyze the present state and data from the exports of BWMS(HS842121). The results show that as the most leading country in the field, Germany has the largest market share (14.33%), Revealed Comparative Advantage (RCA) index 1.76, and Trade Specialization Index (TSI) 0.636 in the world. The two other leading countries such as Denmark and Netherlands follows the ability of Germany. The Korean market share of HS842121 shows market share (5.98%) which is a bit bellow high compared to other countries. However the RCA index (1.85) presents the state of comparative advantage. In addition, Korea's TSI index (0.453) indicates that it is in the state of export specialization. The Korean BWMS and Shipbuilding industry maintain the state of export specialization. They are also in the state of import specialty. For Korea to raise its export competitiveness and to ensure shipbuilding competitiveness, it is necessary to intensify supporting systems and related policies.

• Korea Information Processing Society Review
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• v.15 no.2
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• pp.15-28
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• 2008

The Korea UK e-Science Collaboration project has been aimed at supporting research and collaboration between Korean and UK researchers. Its goal is to benefit the nation by reducing cost and time in constructing the National e-Science Research Environment' by studying and benchmarking the cases in countries that have already procured advanced technologies in the area. Two joint workshops were held in a year where researchers from the two countries had the opportunities to share their research results with each other. Also, the project has supported exchanges of researchers fostering expertise in the field. In the course of the project, the e-Science Centre in the UK and KISTI have signed MoU(Memorandum of Understanding) in 2006. Moreover, there have been active research collaboration between Korea and the UK. The University of Southampton will share the BioSimGrid data with the Korean counterpart, and the University of York has provided the AURA software. In the future, KISTI and the UK NGS(National Grid Service) will organize a working group at OGF that will work mainly on the standardization of Parameter Sweep and bring it to lead the global standard. KISTI will include its own AURORA system into OMI-UK software stack, which will enable access to NGS resources through AURORA user application. The collaboration with the UK has opened up more opportunities for collaboration with other countries as well. KISTI and HLRS in Germany have agreed to share the COVISE and will have research exchanges. As such, it is expected that Korea will play a major role in e-Science research by building strategic and systematic collaborative relations with its International partners.

• Journal of Korean Society of Transportation
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• v.28 no.2
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• pp.171-181
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• 2010

The integrated transit fare system of Seoul metropolitan area has given positively evaluated with reduction of user cost and activating the transfer behavior from its opening year, July 2007. However, there were only few research about railway demand forecasting methodology, especially mode share, has conducted under the integrated fare system. This study focuses on the utility estimation by each mode under the integrated fare system, and on the coefficient actualization relates on travel time and travel cost estimation with Household Travel Survey Data 2006. Also the railway demand analysis methodology under various fare systems is presented. The methodology from this study is expected to improve accuracy and usefulness in railway demand analysis.

• Journal of the Korea Society of Computer and Information
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• v.7 no.3
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• pp.80-91
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• 2002

A general goal of the AT%(Asynchronous Transfer Mode) network is to support connect across various network. On ATM networks, ABR services are provided using the remained ban after allocation CBR and VBR traffic. Realtime services such as transmitting audio or video data may be provided using CBR ado VBR which have a constrained transmission delay, but in these cases, the communications bandwidth may be wasted. In this paper a simulation has been performed to compare and evaluate the performance between the ERICA(Explicit Rate Indicate Avoidance) and EPRCA(Enhanced Proportional Rate Control Algorithm) switches which use Explicit Rate switch algorithm for ABR switch. The variation of the ACR at the source end system, the queue length, the utilization rate of the link bandwidth and the share fairness at the transient and steady states are used as the evaluation criteria for the simulation. As a result of simulation, ERICA algorithm switch was ten times long compared to ERPCA switch to achieve assigned fair share. so EPRCA switch is superior to ERICA about load response. For Fair share and stability, ERICA switch is excellent to EPRCA switch.

• Knowledge Management Research
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• v.20 no.2
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• pp.25-42
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• 2019

AI speakers which are wireless speakers with smart features have released from many manufacturers and adopted by many customers. Though smart features including voice recognition, controlling connected devices and providing information are embedded in many mobile phones, AI speakers are sitting in home and has a role of the central en-tertainment and information provider. Many surveys have investigated the important factors to adopt AI speakers and influ-encing factors on satisfaction. Though most surveys on AI speakers are cross sectional, we can track customer attitude toward AI speakers longitudinally by analyzing customer reviews on AI speakers. However, there is not much research on the change of customer attitude toward AI speaker. Therefore, in this study, we try to grasp how the attitude of AI speaker changes with time by applying text mining-based analysis. We collected the customer reviews on Amazon Echo which has the highest share of AI speakers in the global market from Amazon.com. Since Amazon Echo already have two generations, we can analyze the characteristics of reviews and compare the attitude ac-cording to the adoption time. We identified all sub topics of customer reviews and specified the topics for smart features. And we analyzed how the share of topics varied with time and analyzed diverse meta data for comparisons. The proportions of the topics for general satisfaction and satisfaction on music were increasing while the proportions of the topics for music quality, speakers and wireless speakers were decreasing over time. Though the proportions of topics for smart fea-tures were similar according to time, the share of the topics in positive reviews and importance metrics were reduced in the 2nd generation of Amazon Echo. Even though smart features were mentioned similarly in the reviews, the influential effect on satisfac-tion were reduced over time and especially in the 2nd generation of Amazon Echo.

• Journal of the Economic Geographical Society of Korea
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• v.27 no.2
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• pp.95-119
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• 2024

While several recent studies have investigated the spatial distribution of entrepreneurship within the Seoul metropolitan area, they have not thoroughly examined the relationship between the industrial composition and spatial distribution of entrepreneurial clusters. To address this gap, this study initially identified entrepreneurial clusters through hotspot analysis using Getis-Ord Gi* with venture capital investment data from 2021. Subsequently, to analyze the industrial composition of the identified clusters, we measured not only their industrial diversity and specialization, but also the share of software and non-software industries. Additionally, we examined the government policies related to the formation of the clusters. As a result, we identified fourteen prominent entrepreneurial clusters within the Seoul metro area and revealed that the clusters located closer to the city centers exhibited higher levels of industrial diversity and a greater share of software industries. Conversely, clusters situated farther from the city centers demonstrated a higher share of non-software industries. Furthermore, we found that government policies affect the industrial specialization of suburban clusters. Nevertheless, we observed several exceptions that diverged from the general trends due to policy interventions. These findings underscore that formulating policies for entrepreneurial clusters in metropolitan areas should be based on these insights.