• Journal of the Korean Operations Research and Management Science Society
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• v.39 no.2
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• pp.131-140
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• 2014

Customer networks go through constant changes. They may expand or shrink once they are formed. In dynamic environments, it is a critical corporate challenge to identify and manage influential customer groups in a cost effective way. In this context, we apply inverse optimization theory to suggest an efficient method to manage customer networks. In this paper, we assume that there exists a subset of nodes that might have a large effect on the network and that the network can be modified via some strategic actions. Rather than making efforts to find influential nodes whenever the network changes, we focus on a subset of selective nodes and perturb as little as possible the interaction between nodes in order to make the selected nodes influential in the given network. We define the following problem based on the inverse optimization. Given a graph and a prescribed node subset, the objective is to modify the structure of the given graph so that the fixed subset of nodes becomes a minimum dominating set in the modified graph and the cost for modification is minimum under a fixed norm. We call this problem the inverse dominating set problem and investigate its computational complexity.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.55
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• pp.107-116
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• 2000

Electronic Commerce is purchasing or sales a products and services to customers using computer network. It is different to traditional commerce. Also, It divide into business to business commerce and business to customer commerce. Cyber Shopping Mall is a representative type of business to customer commerce. The interest and demand of national business to customer commerce is explosively increasing with industry. It expect to reach 61 billion won in the 2000. Thus Structure of Cyber Shopping Mall is the more complex and the more vary types. It is the problem that change of established Cyber Shopping Mall structure is very difficult. The purpose of this study Is designed to Cyber Shopping Mall Purchase Process that deal with quickly changable internet environment and meet the needs of customers immediately using UML(Unified Modeling Language) in design phase determinant of Cyber Shopping Mal1 structure. Cyber Shopping Mall Purchase Process is designed to have objective-oriented development methodology's advantage. It has a flexibility in case of shopping mall structure change and acts as useful guideline in design phase of construction of Cyber Shopping Mall.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.1
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• pp.109-119
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• 2016

Due to the fact that it is relatively easy to transfer technology between application developers or content providers, low entry barrier in the business causes fierce competition among the venture companies in mobile service industry. Our study examines a sustainable strategies to operate a business for venture companies that are in a highly competitive technology-intensive industry. In this paper, we examine how venture firms created a network and brought synergy effects, using network theory. Korean venture firm, YelloMobile, uses unique strategies of merger and acquisition through the method of swapping equity and thereby establishing network. We contribute to expand network theory by examining three elements of network: such as network structure, network governance mechanisms, and network contents.

• Journal of Information Technology Applications and Management
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• v.24 no.1
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• pp.111-128
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• 2017

Existing studies for recommender have focused on recommending an appropriate item based on the customer preference. However, it has not yet been studied actively to recommend purchase timing for the repurchase product despite of its importance. This study aims to propose MLP and RNN models based on the only simple purchase history data to predict the timing of customer repurchase and compare performances in the perspective of prediction accuracy and quality. As an experiment result, RNN model showed outstanding performance compared to MLP model. The proposed model can be used to develop CRM system which can offer SMS or app based promotion to the customer at the right time. This model also can be used to increase sales for repurchase product business by balancing the level of order as well as inducing repurchase of customer.

• International Commerce and Information Review
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• v.8 no.1
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• pp.51-66
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• 2006

Korea's IT's firms activities have been vigorous more than ever, since the implementation of " Special law on the nurturing IT firms" in 1990. IT evolution and the e-business has emerged as a new economic activity and beyond the time and space limitations. But the Enterprises located in Gangwon-Do Area have been too inactive in their willingness and readiness to adopt IT models and processes owing to the lack of the directions of e-business, the insufficient network infrastructures and capitals, etc., In this circumstance, as part of this research, This Papers have conducted a survey on the e-business and information conditions and status among the Enterprises located Gangwon-Do Area. In Conclusions, this study Study on the Informationalization of the Enterprises and IT firms Enlarge Strategics for building competition of local Enterprises located Gangwon-Do Area.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.10
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• pp.3513-3533
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• 2021

This paper identifies challenging factors that hinder the successful settlement of the MyData industry, which is drawing global attention, and it analyzes the priority of solutions. To this end, a mixed-methodology including analytic network process technique was borrowed step-by-step to identify variables, analyze them, and provide interpretations. From the first step, the study found that the market aspect was the most important for the success of the K-MyData business, and the release of interesting representative services was found to be the easiest way to inspire market growth. From the second step, as a socio-cultural issue, the lack of consensus on data provisioning was found to present a major obstacle. To achieve consensus, it is very important for business participants to gain the trust of consumers. From the third step, it was found that the scope of data collection and responsibility for accidents needs to be clarified. Government and business-related persons must observe the principles of MyData while tackling these obstacles. It is also necessary for the government to be sensitive to changes in the environment as a focal actor. Doing so will lead to data industry activation and will help guarantee of rights of data subjects in a balanced manner. Finally, it is notable that technical barriers now have the lowest priority. Although technology is important, MyData business must also overcome market, socio-cultural, and institutional challenges. The study selected Korea as its research target, but it is expected to provide useful insights to other countries that are planning MyData business similar to Korea.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.639-647
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• 2020

Entrepreneurial intention is receiving immense recognition in entrepreneurship researches, as it motives an individual to become an entrepreneur. Still, the interplay between gender perspective and contextual factors (i.e., access to capital, business information, social network, educational support, structural support) are not fully investigated in understanding the entrepreneurial intention in developing countries like Bangladesh. Therefore, the paper aims to examine the gender difference and educational discipline difference in the university's students' entrepreneurial intention in relation to contextual factors in Bangladesh. In this study, sample has been particularly taken from the different disciplinary students of private universities. Five-point Likert scale-based survey questionnaire was developed based on past researches. 280 online survey forms were distributed among the university students and finally 225 students' response were found correct as the study sample size (final survey response rate = 80%), after eliminating the incorrect survey responses. For statistical analysis SPSS 23.0 version is used. One-way ANOVA is used to measure the gender and discipline difference on entrepreneurial intention among male and female students. The results show that business information and social network will have more influence on male students' entrepreneurial intention, and comparatively, business students have more willingness to become entrepreneurs than other departmental students.

• International Journal of Advanced Culture Technology
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• v.3 no.2
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• pp.118-123
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• 2015

IT environment gets more complicated in terms of open platform, network standards, device design and hardware, etc. Smart network and application are in the fields of corporate as well as national competition for future fusion technology. In development environment focused on computers, the ideas of authoring tool have been presented in terms of improved software productivity. In smart environment where subdividing works are consecutively done, current authoring tool should be effectively updated for effective development of programs and easier access to business works. The basic concept of a new conceptual App development tool, Smart App Authoring Tool, which has been designed in this study and enables to apply on-site requirements to smart phones, is to develop Apps on the level using easy-to-learn Word or Excel in a computer. Therefore, this study is intended to design a conceptual Smart App Authoring Tool to optimize the cost and time for developing and maintaining new application services under various smart phone platform environments. Based on the performance of smart app authoring tool herein, every people can develop a smart app program at moderate level. So this paper have designed a conceptual smart app authoring tool. This study presented educational efficiency of the authoring tool by developing business Apps under various business environments and applying them under university and high school environments.

• Journal of Information Technology Applications and Management
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• v.24 no.2
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• pp.1-15
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• 2017

Social Network Service (SNS) emerged to become a major platform for consumers' social activities, affecting their choice behavior. With rapid increase in SNS adoption among consumers, firms actively apply SNS into their marketing activities and use it as an important communication medium with consumers. Particularly SNS marketing become increasingly prevalent in Chinese restaurant sector as they provide promotional information to consumers through SNS. It is urgent for firms to understand the extent of SNS impact on consumers' choice behavior, and to understand consumers' response toward SNS in order to develop more effective SNS marketing strategies. The purpose of this study is to assess the effects of four SNS characteristics on brand equity and purchase intention and to determine the relative importance among these four characteristics on brand equity and purchase intention. Results show that all of the characteristics have significant influence on consumers' brand equity, and also, brand equity affects consumers' purchase intention.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.5
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• pp.335-341
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• 2018

The KDE (Kernel Density Estimation) technique in GIS (Geographic Information System) has been widely used as a method for determining whether a phenomenon occurring in space forms clusters. Most human-generated events such as traffic accidents and retail stores are distributed according to a road network. Even if events on forward and rear roads have short Euclidean distances, network distances may increase and the correlation between them may be low. Therefore, the NKDE (Network-based KDE) technique has been proposed and applied to the urban space where a road network has been developed. KDE is being studied in the field of business GIS, but there is a limit to the microscopic analysis of economic activity along a road. In this study, the NKDE technique is applied to the analysis of urban phenomena such as the density of shops rather than traffic accidents that occur on roads. The results of the NKDE technique are also compared to pedestrian networks and road centerline networks. The results show that applying NKDE to microscopic trade area analysis can yield relatively accurate results. In addition, it was found that pedestrian network data that can consider the movement of actual pedestrians are necessary for accurate trade area analysis using NKDE.