• Information Systems Review
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• v.10 no.3
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• pp.89-109
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• 2008

Korean card firms suffered harsh setbacks due to high credit defaults in 2002 and 2003, after issuing cards recklessly. Their key principle is changed to grow without damaging profitability and financial soundness. However, competition in the credit card market is heating up rapidly. Bank-affiliated card firms, having stronger sales networks and more capital than independent issuers, have increased their investments in card affiliates in a bid to develop new cash cows. Moreover, newly emerging independent card firms have waged fiercer campaigns to raise their credit card market share. In order to overcome these business conditions, S-card has settled on a strategy that focuses on stepping up marketing aimed at increasing charge card spending rather than credit card loans or cash lending services. Accordingly, S-card reformed the current business classification system of merchants, which was out-of-dated and originally built for the purpose of deciding merchant service fees only. They also drove customer segmentation planning to deliver the right customers to the right merchants. In this paper, we emphasize the problems of business classification systems of merchants with which most credit card firms have faced, and the need for reforming them not only to provide customer-tailored services but also to raise their business promotion excellence by reviewing S-card's process of customer segmentation.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.107-127
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• 2013

In the 21st century, The service industry is becoming a new core business. In the modern industrial society, it escapes from supporting the manufacturing industry and finally leads to the growth of the manufacturing industry. Although many companies have met a variety of customer requirements through the existing service process, an organization or service developer has been failed because they had depended on intuitive judgment. Therefore, in this paper, we suggests CSIM(Case-based Service Improvement Methodology) to support improvement direction. This methodology is based on 120 cases and developed by utilizing the TRIZ concepts. As a result, CSIM will be a creative tool to support a developer to solve the problems.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.199-203
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• 2018

음식과 맛집에 대한 사용자의 정보검색 니즈가 나날이 증가하면서 서비스 제공자가 정보 제공의 대상이 되는 맛집 상호명을 파악하는 것은 중요한 이슈다. 그러나 업종의 특성상 점포가 새로 생겨나는 주기는 매우 짧은 반면, 신규 점포의 서비스 등록 시점에는 시간적 차이가 존재하는 문제가 있다. 본 논문에서는 신규 상호명을 능동적으로 파악하기 위해 위치기반 서비스 로그에서 맛집 상호명을 추출하는 문자 기반의 딥러닝 모델 및 방법론을 제시한다. 자체 구축한 학습 데이터셋으로 실험한 결과, 제안하는 모델이 기존 기계학습 모델보다 높은 정확도로 상호명을 분류할 수 있음을 확인하였다. 또한, 사전 학습된 모델을 검색로그에 적용하여 신규 상호명 후보를 추출함으로써 향후 상호명 DB를 능동적으로 업데이트 할 수 있는 가능성을 타진하였다.

• Science of Emotion and Sensibility
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• v.10 no.2
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• pp.221-241
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• 2007

It was intended in this study to identify how much contributions are made in establishment of brand personality by inputting service experience, price, advertisement, and physical environment in the service industries. Also, this study examines how service brand personality affects brand identification and repurchase intention by switching barrier. Data were collected from consumers with experience of use in Seoul and Gyeonggi-do. The result of analysis of this study was as follows: 1) It was identified that service experience, price, advertisement, and physical environment influenced on brand personality, 2) it demonstrates that service brand personality influenced on brand identification, switching barrier, and repurchase intention.

• Journal of Broadcast Engineering
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• v.20 no.6
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• pp.848-861
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• 2015

In this paper, we introduce a new web-based PR video making service system. Many video editing tools have required tough editing skill or scenario planning stage for a just simple PR video making. Some users may prefer a simple and fast way than sophisticated and complex functionality. To solve this problem, it is important to provide easy user interface and intelligent classification and recommendation scheme. Therefore, we propose a new template classification and recommendation scheme using a topic modeling method. The proposed scheme has the big advantage of being able to handle the unstructured meta data as well as structured one.

• Archives of design research
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• v.14 no.1
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• pp.187-197
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• 2001

Conventional design producing systems using the Internet are largely classified into two groups: a basic type in which an operator of a design producing site receives an order for manufacture of a design from a purchaser, produces the design based on the content of the received order, and delivers the produced design to the purchaser; and a type in which a purchaser inspects given designs and select one of them for purchasing. Such conventional design producing systems have following problems. Firstly, receiving an order over the internet and delivering a produced design to a purchaser has nearly the same procedure as a conventional logo design procedure with the sole exception that an order can be received through the Internet. Therefore, the production of a design still costs a great deal and takes much time. Secondly, inspecting given designs, selecting one and producing the selected design is like simply selecting a picture, and thus a purchaser is not allowed to modify a design. To solve the above problems, it is an object of the present a new solution to provide a self-design producing system and method using network, in which a purchaser searches a design database for a design suitable for the purchaser's company, determines a design database by modifying design conditions, and makes an order for manufacture of a product to which the determined design is applied, through the Internet.

• Journal of Korean Library and Information Science Society
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• v.37 no.3
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• pp.193-208
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• 2006

The customer satisfaction. which is close with the loyalty, rate of disconnection and re-purchase and the new customer creation is important in point of the enterprise performance measurement system. There have been a number of studies that applied different models in other to assess the customer satisfaction of public and non-public area. But the general evaluation models which are existing can't consider the discrimination characteristic of different types of products or services. And these models didn't reflect the quality of the Internet environment of the public library service which appears newly. This study delved into literature of library service and customer satisfaction evaluation and suggest the classification system of public library service and the evaluation model of customer satisfaction for public library.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.4B
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• pp.385-396
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• 2009

Non-household unit water use for each type of business are estimated in this study. The business types are subdivided into forty based on nine categories by the national industrial standard classification, such as office, commerce, public bathing, public water use etc. Correlation analysis and analysis of variance (ANOVA) are applied to obtain statistical characteristics between industrial water use data, surveyed in six cities including Nonsan, Seosan and the National Statistical Bureau and site area, employees number etc. for each detailed business area. As the proposed non-household unit water uses are compared with five surveyed data in USA, it is shown that almost of water uses per unit area are less than those in USA. Non-household unit water uses of 25% cumulative probability water use recommended as efficiency benchmarks among surveyed data in Korea are also less than those in USA. Especially, in the case of water use in school, the average and the range are similar results showing water use range between 0.4 and 6.2 ($l/m^2/day$) as liter per capita day per an unit area, also water use range between 11.9 to 64.0 (l/student/day) as liter per capita day per a person. From the result of correlation analysis with internal and exogenous affecting factors on non-household water use, it can be concluded that a unit area is most appropriate factor as a standard of non-household unit water use. In case of water use in educational business, the number of students including staffs is more correlated than site ares with water use for the settled water consumption tendency. Although the increase and decrease of educational institutes, retail/wholesale store and restaurants are shown remarkable by the temperature as a representative factor, low correlations are shown in water use fluctuation in lodging house and hospital.

• The Journal of Society for e-Business Studies
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• v.24 no.3
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• pp.35-51
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• 2019

The two main goals of this study are to derive independent factors affecting the success rate of crowdfunding and to empirically analyze the variation of independent factors' effects on the success of crowdfunding by industry (Internet, culture/art, manufacturing/distribution), and funding type (stock type, bond type). To identify the success factors of crowdfunding for invigoration and strategic utilization, first, several variables were refined after interviews with experts and platform operators with investment experiences in numerous crowdfunding projects. Then, independent factors affecting project involvement were categorized as follows: a characteristic of project, participant activity, and enterprise. Also, the results derived from the influence of independent variables on crowdfunding after moderating effects were driven. Selected independent factors in this study are as follows: crowdfunding period, target amount, visual contents, minimum account money, number of comments, number of SNS followers, level of interest, financial Statement disclosure, investment attraction, venture company, intellectual property rights disclosure, and business operation period. Selected moderating factors in this study are as follows: industry (Internet, culture/art, manufacturing/distribution), and funding type (stock type, bond type). In conclusion, a discussion of the academical and practical implications and a suggestion of directions for further research are explained.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.185-198
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• 2017

Since the year 2000, the growth rate of domestic manufacturing has declined and the sales and employment have decreased. Major developed countries have established a variety of strategies to strengthen their manufacturing competitiveness, and promote manufacturing innovation through the convergence of technology and ICT. The key to manufacturing innovation is to reduce the time and cost for developing new products using modeling and simulation (M&S) technology in the product design stage. M&S industries, which belong to the top sector of the industry value chain, have a huge ripple effect across other industries. On the other hand, the competitiveness of the domestic M&S industry is weak compared to developed countries and even the definition and classification of domestic M&S companies have not been made. In this paper, by analyzing the Korea Standard Industry Classification (KSIC), five fine industry classifications included in M&S service companies were derived. In addition, the 307 M&S service companies were derived in accordance with the selection procedure of 3 steps from the 11,822 related companies. To analyze the capabilities of domestic M&S service companies, the current status of the selected M&S service companies was investigated. Considering the Korean economy's high dependence on the manufacturing industry, strengthening the competitiveness of manufacturing industry is required by enhancing the capacities and building an ecosystem in domestic M&S services for future sustainable economic growth.