• Journal of the Korean Geographical Society
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• v.39 no.2
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• pp.241-255
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• 2004

The main aim of this article is to identify the fundamental reason for changes in the geography of Korean foreign direct investment (FDI) in China. More specifically, the article argues that changes in the industrial sectors and the location of FDI resulted from the transition of strategies for Korean FDI in China since the late 1990s is not based on ownership specific advantages, internalization advantages and locational advantages (OIL), but on changes in site where both the needs of Korea and China are articulated, i.e. the strategy for business integration, centering on market, institution and technology. In other words, changes in the location of Korean FDI in China have been the result of changes in the Chinese market structure, institutional changes in Chinese inward FDI incentives and regulations and the accumulation of Korean technology capability since 2000. In addition, by investigating production networks in China, this article attempts to identify the relationships between changes in Korean FDI location and changes in market, institution and technology. Therefore, the empirical evidence provided by the case study of CDMA (code division multiple access) mobile communications FDI since 2000 in China is used to identify the impact of market, institution and technology on the location of Korean FDI in China.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.4
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• pp.9-15
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• 2012

With the rise of internet and e-commerce, this is more applicable now than ever. People rely on computer networks to provide them with news, stock prices, e-mail and online shopping. People's credit card details, medical records and other personal information are stored on computer systems. Many companies have a web presence as an essential part of their business. The research community uses computer systems to undertake research and to disseminate findings. The integrity and availability of all these systems have to be protected against a number of threats. Amateur hackers, rival corporations, terrorists and even foreign governments have the motive and capability to carry out sophisticated attacks against computer systems. Therefore, the field of information and communication security has become vitally important to the safety and economic well being of society as a whole. This paper provides an overview of IDS and IPS, their functions, detection and analysis techniques. It also presents comparison of security capability and characteristics of IDPS techniques. This will make basis of IDPS(Intrusion Detection and Protection System) technology integration for a broad-based IDPS solutions

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.221-241
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• 2018

Deep learning is getting attention recently. The deep learning technique which had been applied in competitions of the International Conference on Image Recognition Technology(ILSVR) and AlphaGo is Convolution Neural Network(CNN). CNN is characterized in that the input image is divided into small sections to recognize the partial features and combine them to recognize as a whole. Deep learning technologies are expected to bring a lot of changes in our lives, but until now, its applications have been limited to image recognition and natural language processing. The use of deep learning techniques for business problems is still an early research stage. If their performance is proved, they can be applied to traditional business problems such as future marketing response prediction, fraud transaction detection, bankruptcy prediction, and so on. So, it is a very meaningful experiment to diagnose the possibility of solving business problems using deep learning technologies based on the case of online shopping companies which have big data, are relatively easy to identify customer behavior and has high utilization values. Especially, in online shopping companies, the competition environment is rapidly changing and becoming more intense. Therefore, analysis of customer behavior for maximizing profit is becoming more and more important for online shopping companies. In this study, we propose 'CNN model of Heterogeneous Information Integration' using CNN as a way to improve the predictive power of customer behavior in online shopping enterprises. In order to propose a model that optimizes the performance, which is a model that learns from the convolution neural network of the multi-layer perceptron structure by combining structured and unstructured information, this model uses 'heterogeneous information integration', 'unstructured information vector conversion', 'multi-layer perceptron design', and evaluate the performance of each architecture, and confirm the proposed model based on the results. In addition, the target variables for predicting customer behavior are defined as six binary classification problems: re-purchaser, churn, frequent shopper, frequent refund shopper, high amount shopper, high discount shopper. In order to verify the usefulness of the proposed model, we conducted experiments using actual data of domestic specific online shopping company. This experiment uses actual transactions, customers, and VOC data of specific online shopping company in Korea. Data extraction criteria are defined for 47,947 customers who registered at least one VOC in January 2011 (1 month). The customer profiles of these customers, as well as a total of 19 months of trading data from September 2010 to March 2012, and VOCs posted for a month are used. The experiment of this study is divided into two stages. In the first step, we evaluate three architectures that affect the performance of the proposed model and select optimal parameters. We evaluate the performance with the proposed model. Experimental results show that the proposed model, which combines both structured and unstructured information, is superior compared to NBC(Naïve Bayes classification), SVM(Support vector machine), and ANN(Artificial neural network). Therefore, it is significant that the use of unstructured information contributes to predict customer behavior, and that CNN can be applied to solve business problems as well as image recognition and natural language processing problems. It can be confirmed through experiments that CNN is more effective in understanding and interpreting the meaning of context in text VOC data. And it is significant that the empirical research based on the actual data of the e-commerce company can extract very meaningful information from the VOC data written in the text format directly by the customer in the prediction of the customer behavior. Finally, through various experiments, it is possible to say that the proposed model provides useful information for the future research related to the parameter selection and its performance.

• The Journal of Society for e-Business Studies
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• v.20 no.1
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• pp.167-182
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• 2015

The concept of Smart home is receiving a huge attention as a future living environment because of its advantages for elderly and disabled to maintain their quality of life. Smart home is a place equipped with integration of technology and services and closely intertwined with occupant's lifestyle. Therefore it is critical to consider the user's actual needs for ensuring satisfaction. However despite growing researches on user values for smart home, there have been few studies clearly categorizing smart home service and stating user values depending on characteristics of service. Thus, the aim of this research is to classify smart home services on user's perspective, and reveal user values for each smart home services. Through the in-depth literature review, we elicited technology-related user values and service-related user values, and state classification for smart home service. Also the relationship between user values and each smart home services were revealed. The results of this research should help to reflect user's actual needs for designing smart home services.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.111-128
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• 2019

In the current procurement system in Korean military, the army, navy and air force have their own distributors, military branches and warehouses. However, especially, it has been hard to have the economy of scale because most of suppliers have shipped their order from the suppliers to each of Korean military directly. Koran military considers the transportation cost as one of the management cost factors among various kinds of cost. Furthermore they have contracted with the suppliers in annual and collectively on the transportation. Hence they have been in trouble with getting efficiency of Defense budget execution because it is hard to make a decision of Defense budget with real transportation cost. Moreover Korean army, navy and air force have their own supply chain separately, so they can not cooperate flexible and quickly when they need. Therefore, in this research, we provide a benchmarking of DTCI (Defense Transportation Coordination Initiative) which has been proved that it has improved the procurement system in US implementing the integrated transportation system with 3PL and military. In addition we propose advanced integrated shipping model using Hub & Spoke system for Korean military. In order to prove its effect, we simulate our model based on the real data of the suppliers' delivery to compare with the current system when it comes to how much we can save the cost. Our research can provide evidence that the integrated procurement system in Korean military will improve Korean military procurement system.

• Asia pacific journal of information systems
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• v.23 no.4
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• pp.103-128
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• 2013

When a consumer needs a product or service and multiple sellers are available online, the process of selecting a seller to buy online from is complex since the process involves many behavioral dimensions that have to be taken into account. As a part of this selection process, consumers may set minimum trust expectation that can be used to screen out less trustworthy sellers. In the previous research, the level of consumers' trust expectation has been anchored on two important factors: product involvement and perceived risk. Product involvement refers to the extent to which a consumer perceives a specific product important. Thus, the higher product involvement may result in the higher trust expectation in sellers. On the other hand, other related studies found that when consumers perceived a higher level of risk (e.g., credit card fraud risk), they set higher trust expectation as well. While abundant research exists addressing the relationship between product involvement and perceived risk, little attention has been paid to the integrative view of the link between the two constructs and their impacts on the trust expectation. The present paper is a step toward filling this research gap. The purpose of this paper is to understand the process by which a consumer chooses an online merchant by examining the relationships among product involvement, perceived risk, trust expectation, and intention to buy from an e-tailer. We specifically focus on the mediating role of perceived risk in the relationships between enduring product involvement and the trust expectation. That is, we question whether product involvement affects the trust expectation directly without mediation or indirectly mediated by perceived risk. The research model with four hypotheses was initially tested using data gathered from 635 respondents through an online survey method. The structural equation modeling technique with partial least square was used to validate the instrument and the proposed model. The results showed that three out of the four hypotheses formulated were supported. First, we found that the intention to buy from a digital storefront is positively and significantly influenced by the trust expectation, providing support for H4 (trust expectation ${\rightarrow}$ purchase intention). Second, perceived risk was found to be a strong predictor of trust expectation, supporting H2 as well (perceived risk ${\rightarrow}$ trust expectation). Third, we did not find any evidence of direct influence of product involvement, which caused H3 to be rejected (product involvement ${\rightarrow}$ trust expectation). Finally, we found significant positive relationship between product involvement and perceived risk (H1: product involvement ${\rightarrow}$ perceived risk), which suggests that the possibility of complete mediation of perceived risk in the relationship between enduring product involvement and the trust expectation. As a result, we conducted an additional test for the mediation effect by comparing the original model with the revised model without the mediator variable of perceived risk. Indeed, we found that there exists a strong influence of product involvement on the trust expectation (by intentionally eliminating the variable of perceived risk) that was suppressed (i.e., mediated) by the perceived risk in the original model. The Sobel test statistically confirmed the complete mediation effect. Results of this study offer the following key findings. First, enduring product involvement is positively related to perceived risk, implying that the higher a consumer is enduringly involved with a given product, the greater risk he or she is likely to perceive with regards to the online purchase of the product. Second, perceived risk is positively related to trust expectation. A consumer with great risk perceptions concerning the online purchase is likely to buy from a highly trustworthy online merchant, thereby mitigating potential risks. Finally, product involvement was found to have no direct influence on trust expectation, but the relationship between the two constructs was indirect and mediated by the perceived risk. This is perhaps an important theoretical integration of two separate streams of literature on product involvement and perceived risk. The present research also provides useful implications for practitioners as well as academicians. First, one implication for practicing managers in online retail stores is that they should invest in reducing the perceived risk of consumers in order to lower down the trust expectation and thus increasing the consumer's intention to purchase products or services. Second, an academic implication is that perceived risk mediates the relationship between enduring product involvement and trust expectation. Further research is needed to elaborate the theoretical relationships among the constructs under consideration.

• Ocean Systems Engineering
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• v.4 no.2
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• pp.137-150
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• 2014

In the marine industry although there has been significant growth towards safety, security and risk assessments or risk-based strategies such as marine insurance and regulations to avoid the risks of damage to properties and the environment or the prospect of premature death caused by accidents etc, the moves toward managing the risks which are linked directly to the business functions and decision making processes have been very slow. Furthermore in the marine industry most perceptions, methodologies and frameworks of dealing with hazards, risks, safety and security issues are for their assessment rather than their management. This trend reveals the fact that in different marine industry sectors such as logistics and shipping there is a lack of coherent risk management framework or methodology from which to understand the risk-based decisions especially for the purpose of design, construction, operation, management and even decommissioning of the marine related applications. On the other hand risk management is not yet viewed holistically in the marine industry in order to, for example, assign a right person, i.e. risk manager, who can act as a coordinator and advisor with responsibilities that are only specific to risk management. As a result this paper, by examining the present physical borders and risk-based activities in the marine industry, aims to propose an appropriate risk management methodology in addition to the emergent role of risk managers which will enable the industry users initially to become familiar with the concept of risk management at its holistic level. In the later stages this eventually can lead to development of risk management capabilities at an exclusive level and its integration into the marine industry functions in future.

• Convergence Security Journal
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• v.15 no.4
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• pp.141-147
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• 2015

KICS is intended to facilitate the computerization of the criminal justice process and realize a quick and transparent criminal justice process. Thus, it has been operating in the field of criminal justice by establishing criminal justice portal for the empowerment of the people. While in 2008 the opposition by the Court concerns the independent function of the judiciary and privacy violations presented in conjunction with its own operating system between the judiciary and other institutions. KICS improve office productivity by creating documents in a single criminal justice agencies to reduce costs, and costs of document exchange between criminal justice agencies. Secondly, the decision-making process is simplified by using the electronic documentation system and speed up, bind and document handling procedures ranging from preserving documents received are reduced dramatically contribute to the competitiveness of the organization through business improvement. Third, The use of an electronic document stored in the information is easy, and it is possible to easily access a variety of information can facilitate the realization of an open state by smoothly to provide information about the people. Finally, KICS building a network of criminal legal systems to maximize the benefits and the electronic integration effect it is being evaluated to improve the overall efficiency of the criminal legal system.

• Proceedings of the CALSEC Conference
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• 2002.01a
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• pp.107-131
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• 2002

Recently, it is an important problem that combines part of sale, technical development etc.. as well as function that is the multi-item and small quantity production environment and production to computer network that supports synthetic efficiency of general corporation activity in manufacturing industry. Integration production information system is developed by these requests and globalization of production system and marketing by tough international competition of various industry product need IMS(Intelligent Manufacturing System) that cope in these change. Therefore, this paper searches analysis method, problem and development way for information system of manufacture field to construct this IMS efficiently, and develops each information strategy planning establishment step, product and integral way of products which is the systematic establishment way of essential information strategy planning in efficient manufacturing information system construction. Also, this paper presents detailed system design methods of each step and templates for efficient methodology of information strategy planning to support IMS efficiently.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2004.05b
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• pp.229-233
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• 2004

According as internet and Information-Communication technology develop with the fast speed, Electronic Catalog that is used B2B or B2C electronic commerce is important element middle who can express well special quality of corporation's goods and product most effectively from internet space. But, several problems that creation of Electronic Catalog and standard absence about application that can say as importance technology base in electronic commerce and market newcomers who is constructing each other dissimilar system and take part in electronic commercial transaction can not use Electronic Catalog information exchange and transaction are happening. So that this treatise can use Electronic Catalog document that user who define Electronic Catalog document structure that can process information of goods configurationally and takes part in transaction is defined in electronic commerce hereupon, integration style Electronic Catalog system design and embody. This system did useful information that can not get from various advantage and catalog document such as business all-in-one and interoperability in different environment that Web Services through interlock with Web Services has so that can get Web Services.