• Information Systems Review
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• v.5 no.2
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• pp.1-21
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• 2003

In this paper, we investigate industrial product intermediary's transformation strategy by exploiting advantages afforded by web based information technologies. Our motivation for this research stems from exploring intermediary's responding strategy to cope with supplier's threatening to disintermediation. From transaction cost perspective, internet can induce both the vertical quasi-integration (electronic hierarchy) and outsourcing (electronic market). Our rationale on directing one of these bi-directional movements is specified on intermediary's value adding on the supply chain. As such, we investigated supply chain performance, IT effects on customer's requirement of channel functions, and channel power structure. Propositions to suggest contingent e-transforming strategic alternatives are logically derived from dyadic nature of supply chain characteristics such as efficiency versus customer services, and supplier dominant versus easy replaceability of suppliers. The contingent e-transformation framework developed from intermediary's perspective is reviewed through longitudinal industry case analysis. Implications from the industry case analysis give us insights for the effectiveness of the framework to combine supply chain characteristics with intermediary's e-transformation.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.17-34
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• 2007

Organizations have realized the importance of CRM. To obtain the maximum possible lifetime value from a customer base, it is critical that customer data is analyzed to understand patterns of customer response. As customer databases assume gigantic proportions due to Internet and e-commerce activity, data-mining-based market segmentation becomes crucial for understanding customers. Here we raise a question and some issues of using single SOM approach for clustering while proposing multiple self-organizing maps approach. This methodology exploits additional themes on the attributes that characterize customers in a typical CRM system. Since this additional theme is usually ignored by traditional market segmentation techniques we here suggest careful application of SOM for market segmentation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.135-137
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• 2014

The expansion of the transportation card, and the popularity of smart phones has been increasing social concern about the NFC technology. Has been focused on the use of e-commerce, most of the NFC, fulfilling the security problems or technical topic for this, but the reality is that the current debate on the new value added contents industry and a nonexistent connection. Leverage NFC for efficient order management system in order to build lunch or dinner by being pushed to ease restrictions on remodeling and renovation projects Food Truck vehicle through a small business support programs in the current government, but increasing interest in the Food Truck I study a model of ordering system for food truch 재소 s-guide system. A lot of the effectiveness of management as appropriate to the use of NFC for small business that operates as a server system is highly Food Truck tendencies tied to one router and server on the intranet without the need of internet connection system. I believe in this study S-Guide system contributes for business success for food truck of small business.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.755-758
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• 2016

The use of smart phones has had a great impact on the mobile internet business. It shows a lot of growth in the healthcare sector not only commerce, advertising, billing, games, video content, media, amd O2O business. The United States has eased the regulations for healthcare apps smart phone devices in 2015, and China has established a five-year road map to solve shortage of doctors and hospital beds by utilizing mobile devices such as wearable in the same year. The application of wearable devices in the medical field is gradually increasing in Korea too, but there is a security problem as leading challenge. Security incidents in non-ICT sectors such as financial, medical, etc. have increased by using ICT each year. Personal information leakage is also increasing in field likely occurring the potential secondary damages such as financial fraud, illegal promotions, insurance and pharmaceutical companies abuse. In this study, we analyze malwares as the mobile threats, the five risks of mobile smart phone, mobile use cases and the mobile threat countermeasures for healthcare.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.394-397
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• 2014

Most of Koreans have smartphone. By using smartphone, they have done internet-banking, e-commerce and private scheduling. However, convenience of smart phone has been made side effect such as tool of fraud and crime. Especially, Smishing on smartphone has been increased rapidly since 2013. Smishing have utilized social-engineering technique with social issue such as Korean near-sea cruse ship, 'Sewol-Ho', Sinking and traditional thanks-giving holiday, 'Chu-Seok', etc. This paper proposed the oncoming trend of smishing on smartphone after 2014. This paper also analyzed the process and technique of smishing on internal financial fraud. It also covered smartphone forensic for using legal evidence. By discovering the connectivity of smishing and financial fraud, this paper could be reference for social security on smartphone.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.13 no.1
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• pp.147-155
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• 2003

The diffusion of internet infrastructure and a fast increase of Population to use it is becoming a base of the service that can use various information, data and digital contents which were provided through off-line physically and used. Recently, the. techniques for copy deterrence and copyright protection have been important in e-commerce because various contents in digital form can be duplicated easily. The Access Control(AC) technique that only a user having the qualifications can access and use contents normally has been studied. The Conditional Access System(CAS) used in a satellite broadcasting md Digital Right Management System(DRMS) used for contents service are representative models of current commercialized access control. The CAS and DRM can be considered as an access control technique based on the payment based type(PBT). This paper describe the access control method of payment free type(PFT) suggested in ［5］ which are independent on the payment structure. And then we suggest a new access control method of payment free type which is more efficient than the previous one.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.145-151
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• 2022

In the study, the author aims to investigate the social media platform that helps promotion of stress relieve and social abilities that exist in lifestyle of persons living in the modern times and perform literature studies of characteristics of stress in each life cycle and social media thereof. In results, it is concluded that persons living in the modern times are under various stress during adolescence, middle age and elderly periods of the entire life cycle and especially, in Korea, stress index is increasing rapidly. To resolve stress, as an alternative, internet based social medial platform can be used to achieve various information supply and access. It is suggested that the development and accessibility of platforms for each inclination should be made easy in line with each inclination and desire for complex and diverse personal inclinations and individualistic activities, and related research should be continued.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.136-148
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• 2022

This study aims to examine the effects of customer experience on the relationship between brand trust and customer experience. The survey was conducted on consumers who experienced chatbot service through internet shopping mall, and the research hypothesis was verified by analyzing the final 299 questionnaires. The results of the study showed that the customer experience using chatbot service had a positive effect on chatbot trust, had a positive effect on shopping mall trust, seller trust and brand trust through the mediating role of chatbot trust, and the social presence of chatbot had a moderating effect in the trust transfer. This study provides a theoretical basis that customer experience of chatbot service has positive effect on brand trust through chatbot trust, and suggests implications in that chatbot service can be an important means of marketing. In future studies, various studies related to chatbot trust are needed.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.149-155
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• 2022

The popularity of e-commerce systems on the Internet is increasing day by day, and the recommendation system, as a core function of these systems, greatly reduces the effort to search for desired products by recommending products that customers may prefer. The collaborative filtering technique is a recommendation algorithm that has been successfully implemented in many commercial systems, but despite its popularity and usefulness in academia, the memory-based implementation has inaccuracies in its reference neighbor. To solve this problem, this study proposes a new time-aware collaborative filtering technique that integrates and utilizes the neighbors of each item and each user, weighting the recent similarity more than the past similarity with them, and reflecting it in the recommendation list decision. Through the experimental evaluation, it was confirmed that the proposed method showed superior performance in terms of prediction accuracy than other existing methods.