• Journal of Korea Port Economic Association
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• v.17 no.1
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• pp.91-111
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• 2001

This study was conducted in order to develop inter-local cooperation strategies between the City of Incheon, in Korea, and three provinces in northeastern China. We begin with a description of the history of and prospects for trade between Korea and China, an explanation of the current economic status of Incheon, statistics on the economy, trade and investment trends in the region, and information on the ports of the three Chinese provinces. The following strategies are suggested for inter-local cooperation based on the current circumstances. First, cooperative industrial strategies and economic investment for promoting the mutual concerns and interests of China and Korea were developed. Second, a practical way of utilizing the Incheon Industrial Park located in Dandong, China, was devised to stimulate industrial and investment cooperation. Third, a method of building a network among major ports in Korea and other Northeast Asian port cities was developed. Fourth, an international logistics transportation system that makes connection between sea, land and air easier through logistics standardization was suggested in preparation fur the changing environment of logistics brought about by the opening of the new Incheon International Airport. Fifth, methods of Improving port facilities are suggested. And, finally, the role and necessity of the Incheon City Interchange Center in executing inter-local cooperation strategies is described.

• International Commerce and Information Review
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• v.15 no.4
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• pp.217-240
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• 2013

The investment environment in Korea and U.S. dramatically changed since Korea-US FTA. The key reasons for this successful change were liberalization and strengthened protection of investment along with trade liberalization which also brought investment market expansion. As the result of trade-diversion effect, investments between two countries have been enormously increased. Through a FTA with the big economy like US, Korea's FTA network has been largely expanded. Korea further needs to utilize this outcome when competing with other countries in investment markets.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.269-271
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• 2011

E-commerce done by between buyers and sellers mainly rely on computer networks and business transactions are carried out according to certain standards of various business activities. E-commerce is based on modern information technology and network technology, financial electronic collection, management, information technology, business and trade information networks into one, aimed at logistics, capital flow and information flow of harmony and unity of the new trade, trade activities of the entire process, electronic, networking and digital. In this paper, we investigate for online shopping, for example, to illustrate the current problems in an area of clothes market. Also we proposed an ideal model appropriate to increase sales and show the analysis results compared to conventional clothes market in open market.

• Korea Trade Review
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• v.47 no.2
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• pp.69-88
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• 2022

This paper aims to predict Busan's regional product and employment using the logistic regression models and machine learning models. The following are the main findings of the empirical analysis. First, the OLS regression model shows that the main industries such as electricity and electronics, machine and transport, and finance and insurance affect the Busan's income positively. Second, the binomial logistic regression models show that the Busan's strategic industries such as the future transport machinery, life-care, and smart marine industries contribute on the Busan's income in large order. Third, the multinomial logistic regression models show that the Korea's main industries such as the precise machinery, transport equipment, and machinery influence the Busan's economy positively. And Korea's exports and the depreciation can affect Busan's economy more positively at the higher employment level. Fourth, the voting ensemble model show the higher predictive power than artificial neural network model and support vector machine models. Furthermore, the gradient boosting model and the random forest show the higher predictive power than the voting model in large order.

• Korea Trade Review
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• v.47 no.5
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• pp.161-179
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• 2022

This paper aims to examine the role of government's support in facilitating small and medium sized enterprises (SMEs)' green dynamic capabilities and green SCM practices in a global market. It also investigates whether government support, green dynamic capabilities, and green SCM practices affect export competitiveness. To develop those hypotheses, prior studies and in-depth interviews were conducted and data was collected from Korean manufacturing companies that export abroad and then developed the structural equation model. The hypotheses test results revealed that green dynamic capabilities through government support positively affect export competitiveness and green SCM practices through green dynamic capabilities have positive effects on export competitiveness. Finally, this study is valuable in that it directly and indirectly confirmed the effect of eco-friendly government support on export competitiveness.

• Korea Trade Review
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• v.46 no.2
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• pp.263-280
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• 2021

With the advent of the era of the 4th Industrial Revolution, various support policies and programs are being introduced as the promotion of startups related to the 4th industry is promoted as a core policy of the government. Based on major technologies such as Artificial Intelligence(AI), Big Data, Internet of Things(IoT), Blockchain, and Automation leading the 4th industrial revolution, logistics and distribution companies are expanding the range of markets and services provided. The purpose of this study is to examine the current status of startups in the logistics field based on major technologies of the 4th Industrial Revolution, which are rapidly growing at home and abroad, and suggest implications for revitalizing logistics startups through a policy demand survey. As a result of the study, in order to foster domestic logistics startups, we propose policy support for integration of logistics startups, integrated management of information, provision of physical space, network platform, and practical education and mentoring.

• Journal of Environmental Policy
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• v.14 no.2
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• pp.27-47
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• 2015

In this paper, we present a new empirical method to estimate the environmental efficiency of decision making units. We propose a model with a new approach that describes a network process consisting of two stages, production and wastewater abatement based on the data extracted from 51 Korean industrial complexes. Taking into account the inter-dependency of two stages, we show a process how to decompose the environmental efficiency into production efficiency and abatement efficiency. Moreover, our new proposed method can be used to explain the information on network relationship between economic growth and environmental protection.

• Journal of Communications and Networks
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• v.18 no.2
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• pp.162-172
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• 2016

The placement of the complete baseband processing in a centralized pool results in high data rate requirement and inflexibility of the fronthaul network, which challenges the energy and cost effectiveness of the cloud radio access network (C-RAN). Recently, redesign of the C-RAN through functional split in the baseband processing chain has been proposed to overcome these challenges. This paper evaluates, by mathematical and simulation methods, different splits with respect to network level energy and cost efficiency having in the mind the expected quality of service. The proposed mathematical model quantifies the multiplexing gains and the trade-offs between centralization and decentralization concerning the cost of the pool, fronthaul network capacity and resource utilization. The event-based simulation captures the influence of the traffic load dynamics and traffic type variation on designing an efficient fronthaul network. Based on the obtained results, we derive a principle for fronthaul dimensioning based on the traffic profile. This principle allows for efficient radio access network with respect to multiplexing gains while achieving the expected users' quality of service.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.109-128
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• 2010

The purpose of our research is to figure out the 'non-financial value' of consumers applying networks amongst consumer groups, the data-based marketing strategy to the analysis and delve into the ways for enhancing effectives in marketing activities by adapting the value to the marketing. To verify the authenticity of the points, we did the empirical test on the consumer group using 'the Essence Cosmetics Products' of high involvement that is deeply affected by consumer perceptions and the word-of-mouth activities. 1) The empirical analysis reveals the following features. First, the segmented market for 'Essence Consumer' is composed of several independent networks, each network shows to have the consumers that is high degree centrality and closeness centrality. Second, the result proves the authenticity of the non-financial value for boosting corporate profits by the high degree centrality and closeness centrality consumer's word-of-mouth activities. Lastly, we verify that there lies a difference in the network structure of 'Essence Cosmetics Market'per each product origin(domestic, foreign) and demographic characteristics. It does, therefore, indicate the need to consider the features applying mutually complementary for the network targeting.

• Journal of information and communication convergence engineering
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• v.5 no.2
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• pp.131-135
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• 2007

In this paper, The proposed algorithm consists of three steps. In the first step, TD(Transition Density) calculation has to be performed. a CLB-based CPLD low-power technology mapping algorithm considered a Trade-off is proposed. To perform low-power technology mapping for CPLDs, a given Boolean network has to be represented in a DAG. Total power consumption is obtained by calculating the switching activity of each node in a DAG. In the second step, the feasible clusters are generated by considering the following conditions: the number of inputs and outputs, the number of OR terms for CLB within a CPLD. The common node cluster merging method, the node separation method, and the node duplication method are used to produce the feasible clusters. In the final step, low-power technology mapping based on the CLBs packs the feasible clusters. The proposed algorithm is examined using SIS benchmarks. When the number of OR terms is five, the experiment results show that power consumption is reduced by 30.73% compared with TEMPLA, and by 17.11 % compared with PLA mapping.