• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.14 no.3
• /
• pp.767-773
• /
• 2010

RFID and Kiosk has been acquiring the essential position not only for providing simple information but also as the tool for establishing Ubiquitous based society. Especially it can be said that the time for developing various Kiosks as important methods to conducting marketing and service through the differentiation and easiness on dealing information has come. Considering the present requirement, 'U-Commerce System' has been designed and developed. In the system, the RFID reader installed in 'U-Shop Kiosk System' recognizes the RFID tag on situated the specific products and detail product information and related multimedia advertisement are provided. Moreover, when the customers have the needs to purchase concerned products on the spot, they can pay and order by using credit cards. By employing the system, the amount of stock and delivery condition can be monitored in real time and the gathered information in DB can be used for dealing with stock related matters. In addition, a system can be developed to monitor and manage the remote shops in real time base. Furthermore, to overcome the limit of simple unmanned ubiquitous style Kiosk, the possibility of developing an expansion model of ubiquitous style CRM Kiosk has been suggested.

• 한국경영정보학회:학술대회논문집
• /
• 2007.06a
• /
• pp.135-140
• /
• 2007

이탈 고객 예측은 데이터 마이닝에서 다루는 주요한 문제 중에 하나이다. 이탈 고객 예측은 일종의 분류(classification) 문제로 의사결정나무추론, 로지스틱 회귀분석, 인공신경망 등의 기법이 많이 활용되어왔다. 일반적으로 이탈 고객 예측을 위한 모델은 고객의 인구통계학적 정보와 계약이나 거래 정보를 입력변수로 하여 이탈 여부를 목표변수로 보는 형태로 분류 모델을 생성하게 된다. 본 연구에서는 고객과의 지속적인 접촉으로 발생되는 추가적인 사건 정보를 활용하여 연관성 규칙을 생성하고 이 결과를 기존의 방식으로 생성된 분류 모델과 결합하는 이탈 고객 예측 방법을 제시한다. 제시한 방법의 유용성을 확인하기 위해서 특정 국내 신용카드사의 실제 데이터를 활용하여 실험을 수행하였다. 실험 결과 제시된 방법이 기존의 전통적인 분류 모델에 비해서 향상된 성능을 보이는 것을 확인할 수 있었다. 제시된 예측 방법의 장점은 기존의 이탈 예측을 위한 입력 변수들 이외에 고객과 회사간의 접촉을 통해서 생성된 동적 정보들을 통합적으로 활용하여 예측 정확도를 높이고 실시간으로 이탈 확률을 갱신할 수 있다는 점이다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
• /
• 2007.02a
• /
• pp.49-55
• /
• 2007

유비쿼터스 고객관리시스템은 개인간 그리고 특성별로 고객관리를 할 수 있는 정교한 마케팅 수단이라 할수있다. 이는 고객으로부터 수익을 직접 창출할 수 있는 요인이 되기도 하다. 그리고 일부 인터넷방송들이 이를 이용하여 실제 매출을 올리는 결과도 가져오고 있다. 그러나 예상보다는 구축에 어려움을 겪고있다. 이 논문에서는 유비쿼터스 고객관리에 대한 통합모델과 구성 아키텍처를 제시하였다. 추후 많은 케이스가 나을 경우 좀더 많이 적용하고 검증이 필요하리라본다.

• International Journal of Human Ecology
• /
• v.6 no.1
• /
• pp.41-59
• /
• 2005

In this paper, the e-grocery sector of the U.S. is used as an illustrative example of how to assess consumers' demands for customer relationship management and to investigate whether these demands coincide with effective Customer Relationship Management (CRM) strategies suggested by academic researchers and provided by practitioners. Surveys evaluating the perceived importance of CRM items were administered accordingly. The findings show that, overall, consumers' did not differ considerably to the experts. The results of descriptive analyses showed that academicians had a more closely in-lined view with consumers than did practitioners. Although not statistically significant, practitioners perceived loyalty programs to be more important than did consumers or academicians. This might suggest that loyalty programs are primarily serving as a way of data mining, and are thus failing to provide benefits to consumers. Overall, items related to technology deployment were perceived to be more important by practitioners than consumers or academicians.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2005.05a
• /
• pp.253-257
• /
• 2005

최근의 전자상거래는 유선인터넷 환경의 e-커머스와 모바일 커머스를 새로운 차원으로 확장한 u-커머스(ubiquitous)시대로 발전하고 있다. 따라서 온라인과 오프라인 매장의 상거래 데이터 연동과 유선과 무선인터넷 환경의 채널을 통합함으로써, 언제 어디서든지 고객의 모든 데이터를 수집하고 다양한 매체를 통해 고객관리를 할 수 있는 전자상거래 솔루션이 요구되어진다. 본 연구는 온 ${\cdot}$ 오프라인 매장에서 수집된 각종 데이터를 바탕으로 데이터마이닝을 통한 고객의 성향을 분석하여 고객의 요구사항을 미리 파악하고, 이를 마케팅에 적용하여 고객의 유지율을 상승시키고 해당 회사에 대한 충성심을 유도하여 이익을 증대 시킬 수 있는 시스템을 연구하였다.

• Fashion & Textile Research Journal
• /
• v.16 no.5
• /
• pp.756-765
• /
• 2014

Customer-company (C-C) identification is the perceived fit between the identities of a consumer and an organization. If a consumer identifies with a company that places a high priority on being socially responsible, a consumer who also values social responsibility may support and patronize that business because of the link between something that is important to both them and the company. Because C-C identification may explain the success of cause-related marketing (CRM) in the fashion industry, we investigated the effect of an image resulting from CRM on ratings of brand attributes (e.g., distinctiveness, credibility, attractiveness), identification with the brand, attitude toward the brand, and customer loyalty. Participants also responded to open-ended questions reflecting their rationale for their ratings of brand attributes. Data were collected from a convenience sample of undergraduates (n = 228) enrolled at Midwestern University in the U.S. Structural equation modeling revealed that as ratings of the social responsibility of the cause-related marketing effort increased so did perceptions of the brand's distinctiveness, credibility, and attractiveness. Participants identified with a brand when they rated the brand as attractive. Participants' identification with a brand had a significant impact on attitudes toward the brand and customer loyalty (e.g., purchase intention, willingness to spread positive word-of-mouth). Content analyses of open-ended responses supported the idea that brand images stemming from CRM exert an important influence on consumer's ratings of brand attributes. Fashion marketers interested in cause-related marketing will find success with efforts that increase customer identification.

• CRM연구
• /
• v.4 no.1
• /
• pp.55-68
• /
• 2011

Recently with the development of Web services by utilizing a variety of web content, the studies on user experience and personalization based on web usage has attracted much attention. Majority of personalized analysis are have been carried out based on existing data, primarily using the database and statistical models. These approaches are difficult to reflect in a timely mannerm, and are limited to reflect the true behavioral characteristics because the data itself was just a result of customers' behaviors. However, recent studies and commercial products on web analytics try to track and analyze all of the actions from landing to exit to provide personalized service. In this study, by analyzing the customer's click-stream behaviors, we define U-Score(Usage Score), P-Score (Preference Score), M-Score(Mania Score) to indicate variety of customer preferences. With the devised three indicators, we can identify the customer's preferences more precisely, provide in-depth customer reports and customer relationship management, and utilize personalized recommender services.

• 한국IT서비스학회:학술대회논문집
• /
• 2007.05a
• /
• pp.379-384
• /
• 2007

USN (Ubiquitous Sensor Network)의 인프라 기술은 여러 센서를 이용하여 사용자의 요구사항을 처리 및 동작하는 지능화된 상호운용성 네트워크로서, 유비쿼터스 환경에서의 다양한 서비스를 창출하고 실생활에 적용할 수 있는 기술로 정착하고 있다. 설치의 간편성, 저전력, 저가격, 확장성, 내장성의 특정을 가지고 있는 USN은 많은 센서들의 이질적인 데이터와 사용자를 위한 다양한 멀티미디어 정보 그리고, 장치간의 상호운용을 위한 제어 정보 등이 포함되며, 산업분야에서는 RFID의 기술과 함께 기존 기업의 ERP, CRM, SCM 등 애플리케이션과의 호환성 확보를 통해 활용될 수 있다. 본 논문에서는, USN 을 비즈니스 서비스 모델에 적용하여 SCM 상에서의 프로세스 모델링 연구를 하였다. 유비쿼터스 컴퓨팅 기술을 SCM 에 적용하는 u-SCM을 공급단계에서 시작하여 소비자관리 및 분석의 프로세스로 모델링 및 구축하였다. 부품공급/조달물류관리, 생산관리, 재고/유통/발주관리, 소비자 관리 및 분석 프로세스를, 소규모 센서의 서비스 환경 탑재 및 감지, 위치 측정 등의 감지 센서들을 이용한 센서 노드(node)의 정보 습득, 무선 센서 네트워크 통신을 이용한 추출된 감지 정보 통신, USN 서버의 관리 및 정보의 저장과 분석 등으로 USN 기술을 이용한 u-SCM 의 관리 운영의 프로세스 모델로 제안하였다.

• Journal of Technologic Dentistry
• /
• v.37 no.1
• /
• pp.9-15
• /
• 2015

Purpose: The purpose of this study was to compare the accuracy of the maxillary three-unit fixed dental prosthesis (FDPs) made using two CAD/CAM milling machines : DCM Group(Dentaim CAD/CAM milling machine), WCM Group(Wieland CAD/CAM milling machine). Methods: Each of 10 duplicate models was scanned by blue light scanner(Identica, Medit, Korea), and the three-unit FDPs (STL file) was designed using DelcamCAD. A total of 20 three-unit FDPs was fabricated, comprising 2 groups of 10 specimens each (shrinkage ratio is 1:1). The first three-unit FDPs STL file was used as a CAD reference model (CRM). Obtained STL files by scanning the inner surface of three-unit FDPs were convened into the point clouds-ASC II files. Discrepancies between the point clouds and CRM were measured by superimposition software. Statistical methods to analyze the data were used non-parametric method. The mean (SD) values were compared by a Mann-Whitney U-test. Type one error rate was set at 0.05. Results: WCM group had small discrepancies with $2.17{\mu}m$ of mean value compared to $4.44{\mu}m$ in DCM group. The accuracy values between the two groups showed a sratistically significant difference (Table 2, p<.05). Conclusion: The accuracy of the three-unit fixed dental prosthesis(FDPs) made of two CAD/CAM milling machines were statistically different. Accuracy with which the prosthesis made of WCM group was superior.

• IE interfaces
• /
• v.19 no.4
• /
• pp.333-341
• /
• 2006

RFID (Radio Frequency Identification) is a technology that can input identification information to microchip and make goods, animals, persons recognized, chased, and managed using radio frequency, and is founded on the core technology of ubiquitous environment of the future. In this paper, we propose a RFID integrated system designed to manage the lifecycle of an individual product efficiently. The proposed system can enable traceability and visibility of items through their entire life by integrating distribution and banking information on the basis of EPCglobal Network. It may provide the infra of Digital Manufacturing and RTE (Real Time Enterprise) and effective information sharing structure with existing legacy system (ERP, CRM, SCM) by real time.