• Korean Journal of Human Ecology
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• v.21 no.2
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• pp.269-284
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• 2012

The main purpose of this study was to investigate factors affecting performance of casual wear franchise stores including franchiser support and social network between owners/managers. The study included the franchise stores of 55 casual wear brands located in Seoul, Incheon and Gyeonggi-do. In each store, one manager, owner or staff member with management responsibility was asked to fill out a questionnaire. A total of 184 questionnaires were collected with 165 used in the final analysis. The results showed that franchiser support consisted of educational support, marketing support and customer support. Path analysis indicated that only the educational support had a significant influence on the franchiser-franchise relationship, and in turn, the franchiser-franchise relationship positively influenced customer performance. Marketing support did not have a significant influence on the franchiser-franchise relationship, but did demonstrate a direct influence on customer performance. Social networks positively influenced customer performance, and there was significant a correlation between regions and social networks on customer performance. Sales performance was significantly influenced by customer performance.

• Journal of Information Technology Services
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• v.3 no.1
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• pp.63-77
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• 2004

The purpose of this research is to identify what factors influence a customer's purchasing intention and to identify if customer's attitudes are different between an Internet shopping mall in Singapore and Korea. To perform a cross-nation analysis between Singapore and Korea, this research reapplied the finding of Liao and Cheung(2001) in a Singapore Internet shopping mall, including transactions security, Internet usage, price, shopping experience, vendor quality, network speed. The empirical results of this research indicate that all hypotheses in our model are significant; therefore, Internet usage, price, vendor quality and network speed influence customer's purchasing intention positively and transactions security and shopping experience negatively. The results of a cross-nation analysis indicate that customer's attitudes in both Singapore and Korea are the same. Therefore, Asia's with similar cultures are the same factors In Internet shopping mall. In Conclusion, with the rapid growth of the Internet market in Asia, many cross-nations researches based on Asia culture must be published. Therefore, this research will be the foundation of these researches.

• Journal of Intelligence and Information Systems
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• v.15 no.1
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• pp.123-140
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• 2009

Collaborative filtering recommends products using customers' preferences, so it cannot recommend products to the new customer who has no preference information. This paper proposes a novel approach to new customer recommendations using the social network analysis which is used to search relationships among social entities such as genetics network, traffic network, organization network, etc. The proposed recommendation method identifies customers most likely to be neighbors to the new customer using the centrality theory in social network analysis and recommends products those customers have liked in the past. The procedure of our method is divided into four phases : purchase similarity analysis, social network construction, centrality-based neighborhood formation, and recommendation generation. To evaluate the effectiveness of our approach, we have conducted several experiments using a data set from a department store in Korea. Our method was compared with the best-seller-based method that uses the best-seller list to generate recommendations for the new customer. The experimental results show that our approach significantly outperforms the best-seller-based method as measured by F1-measure.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.7 no.3
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• pp.518-523
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• 2006

Due to keen competition among companies, they have segmented customers and they are trying to offer specially targeted customer by means of the distinguished method. In accordance, data mining techniques are noted as the effective method that extracts useful information. This paper explores customer segmentation of the home study company using a hybrid decision tree and artificial neural network model. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship. The case study shows that the predicted accuracy of the proposed model is higher than those of regression, decision tree (CART), artificial neural networks.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.8
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• pp.1186-1192
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• 2012

In Jeju Smart Grid field test, Zigbee technology is being used as one of customer side solutions for AMI. Although Zigbee networks that provides effective connectivity and control among devices are advantages in ease of implementation and use, the data can be exposed to cyber attacks such as eavesdrop, unauthorized data dissemination and forgery. Currently authentication and confidentiality services are provided with the network and link keys generated based on public key pairs that are pre-installed in offline. However, the network is vulnerable once a hacker intrudes into a local network because operation and management policies for the generated keys are not well-established yet. In this paper, the vulnerability of the Zigbee security system in the customer side environment of Jeju Smart Grid field test is analyzed. Then, two-way authentication with the unique identifiers of devices and user-specific group management policies are proposed to resolve the vulnerability.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.30-37
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• 2010

It is very important to analyze online customer reviews, which are small documents of writing opinions or experiences about products or services, for both customers and companies because the customers can get good informations and the companies can establish good marketing strategies. In this paper, we did not propose only dependency network model which is tool for analyzing online customer reviews, but also designed and implemented the system based on the dependency network model. The dependency network model analyzes both subjective and objective sentences, so that it can represent relative importance and relationship between the nouns in the sentences. In the result of implementing, we recognized that relative importance and relationship between the features of products or services, which can not be mined by opinion mining, can be represented by the dependency network model.

• Journal of Industrial Convergence
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• v.18 no.1
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• pp.1-15
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• 2020

This study aims at examining the effect of strategic orientation on IT startup performance and analyzing the mediating effect of network in the relationship. The study was conducted on the three dimensions that make up strategic orientation: technological orientation, customer orientation, competitive orientation on firm performance, and the understanding of the role of the network. Empirical research on 94 IT startups as residents of startup support institutions was conducted. The suitability of the research model was evaluated with PLS-SEM. As a result of the empirical analysis, customer orientation and competitive orientation was verified to have a positive effect on network, while Technological orientation was confirmed to have no positive effect. and network mediated the relationship between customer orientation and competitive orientation, while Technological orientation was confirmed to have no positive effect. The results of this study provide startup practitioners with strategic direction and the importance of network establishment and utilization.

• Proceedings of the KIEE Conference
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• 2002.11b
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• pp.259-261
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• 2002

KEPCO(Korea Electric Power Corporation) has been management alone before some time. However through the electrical industry reorganization generation and KPX(Korea Power Exchange) were separated on 2001. A marketing and distribution part will be separated in the future. While many problem for appear in future. how to management for power system network is important. unfortunallity, electrical power industry is starting point right now. Thus, detail data is incomplete for this field and detail research for this field is required with distribution reorganazation. In this paper suggest for customer interruption cost compute method to establish a standard. The standard is need to security operation of power system network. The customer interruption cost compute method necessity of customer interruption cost compute method is minimizing process for total cost. As final total cost compute through the interruption cost compute, we can recognize investment point exactly. We cited foreign survey questions, because exactly matched survey questions for in the country circumstance is not exist. And process to survey performance suggest after modify for match in the country circumstance. Survey questions that suggested fer this paper are classified five categories. This paper suggests to detail survey questions and survey method before survey and suggest to how to customer interruption compute when survey data is ensured. Moreover this paper suggest to average interruption cost compute for residential customer using statistical method.

• The Journal of the Korea Contents Association
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• v.6 no.1
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• pp.179-189
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• 2006

Recently, according to the development of computer technology, a large amount of customer data have been stored in database. Using such data, decision makers extract the useful information to make a valuable plan with data mining. In this paper, we design a forecasting model that classifies the exiting customers in the telecommunication industries using the classification rule, one of the data mining technologies. In other words, this paper builds a model of customer loyalty detection and analyzes customer patterns in mobile communication service market with data mining using neural network and regression methods. This model improves the relationship of customers and enterprises. As a result, the enterprise creates the profits from many customers and the customer receives more benefits from the enterprise.

• International Journal of Computer Science & Network Security
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• v.22 no.5
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• pp.234-244
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• 2022

Tourism products involve the transfer of money that is flowing to countries with partners or borders, which do not possess any relations surrounding their business environment. Suitable platforms must be generated by the tourism industry, which are beneficial to users when their demands are satisfied based on financial, technology, knowledge, and industry matters. Intermediaries are applied to alleviate different problems that are related to the non-fulfilment of contracts of existing users and service providers who are offering their services and represent a reliable third party. However, it is significant that intermediaries must be reliable when charges are incurred for any possible commission. Cryptocurrencies rely on blockchain technology to provide smoothness in money interchange without the need for reliable third parties. This interchange allows an increasing number of different new forms, which are related to different customer-to-customer transactions. The study attempts to provide an appropriate answer to the main research question, which is: 'Will the widespread adoption of cryptocurrencies bring new types of customer-to-customer markets from a technological, organizational, and environmental perspective?'.