• Korea Journal of Hospital Management
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• v.28 no.4
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• pp.33-46
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• 2023

Purpose: This study analyzed the research published in KCI-registered journals related to healthcare marketing for the last 27 years from 1995 to 2022 to identify academic research trends, the specificity of the healthcare field and to suggest future research directions. Methodology: A total of 213 articles were selected for this study, and a descriptive analysis of the period and journals was conducted, as well as the analysis of research topics and keywords from the perspective of marketing strategy factors and performance factors. Findings: A total of 213 articles related to healthcare marketing have been published in the last 27 years. The descriptive analysis showed a steady quantitative increase, but the STP field showed a decreasing trend, and many papers were mainly published in the Korean Journal of Hospital Management. According to the analysis of research topics and keywords, STP field will be hard to become an active research topic in the future, and even in the 7P field, only Product, People, and Process can be researched according to medical law regulations, and other factors such as PX & WOM, CRM, and the Internet fields are expected to be research topics. Implications: Through the analysis of research trends over the past 27 years, we were able to identify the specificity of the healthcare marketing field in Korea and suggest future research directions based on this.

• Journal of the Korean Data and Information Science Society
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• v.20 no.6
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• pp.1009-1014
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• 2009

The Internet has changed the daily lives of human being in Korea and elsewhere in the world. It has changed the paradigms of traditional commercial activities and created immense opportunities for new business models. Recently, there has been much attention to the internet shopping mall as a means of commercial transaction. To make internet shopping mall competitive, effective customer satisfaction service should be provided and it is necessary to dynamic analysis method for customers' purchasing pattern. In this paper we apply the sequential analysis to comparison of two kinds of sales through the analysis of customers' purchasing pattern.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2000.04a
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• pp.261-270
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• 2000

개념 계층(Concept Hierarchy)은 데이터베이스 분야에서 사용되는 대표적인 배경 지식(Background Knowledge)으로써, 데이터베이스에 내재되어 있는 구조적인 정보, 데이터의 분포, 영역전문가(Domain Expert)에 의해 주어지는 외부 지식 등이 반영되어 있다. 개념 계층의 특성상 부모(parent)-자식(child) 관계가 있는 두 노드가 있을 때, 한 노드의 값으로부터 다른 노드의 값을 추정할 수 있다. 이 추정된 값을 기대치라고 하고, 한 노드의 값으로부터 추정된 기대치와 실제치가 상당히 상이한 값을 보이는 노드가 있을 때, 이를 흥미롭다(interesting)라고 할 수 있다. 그러나 아직까지 개념계층상에서의 흥미로운 부분 탐색에 대한 연구가 없었으며, 흥미로움(interestingness)의 척도(measurement)에 대한 연구로서는 신뢰도(confidence), 리프트(lift), 컨빅션(conviction)등이 있다. 그러나 이런 흥미도의 척도에 관한 연구도 연관규칙에 한정되어 이루어졌으므로 개념계층상의 데이터에 적용하기 위해서는 약간의 수정 및 새로운 정의가 필요하다. 본 논문에서는 데이터의 특성에 따른 개념계층이 존재할 때, 이를 이용하여 기대치와 실제치가 상이한 흥미로운 부분을 발견하고자 하며, 이를 위하여 개념계층이 존재할 때, 이를 이용하여 기대치와 실제치가 상이한 흥미로운 부분을 발견하고자 하며, 이를 위하여 개념계층상에서의 흥미도의 척도를 제안하고 흥미로운 부분을 탐색하는 방법을 기술하고자 한다. 또한 데이터마이닝의 결과인 연관규칙을 개념계층에 적용하여 연관규칙을 통해 얻어질 수 있는 기대치를, 지지도(support), 신뢰도(confidence), 리프트(lift), 컨빅션(conviction)등의 관계를 통해 다양한 방법으로 모색해본다. 이 연구에서 제안하는 이러한 개념계층상의 흥미로운 부분의 탐색은, 전자 상거래에서의 CRM(Customer Relationship Management)나 틈새시장(niche market) 마케팅 등에 적용가능하리라 여겨진다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.23-26
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• 2000

정보기술이 발달하면서 자료의 흔적들이 체계화된 데이터베이스에 저장이 되고, 더불어 데이터베이스의 규모는 점점 커지고 있다. 데이터 마이닝은 이런 방대한 자료의 분석을 통해, 그 속에 숨어있는 의미를 찾는 과정이라고 볼 수 있다. 본 논문에서는 대용량 데이터베이스에 존재하는 여러 유용한 지식을 추출하는 방법으로서 데이터 마이닝을 분류화, 클러스터링, 요약규칙, 시간에 따른 분석 및 예측등으로 분류하여 요약, 제시하였고, 이렇게 추출된 패턴, 정보, 지식들의 유용성을 측정하는 지표를 정리하였다. 개발된 XM-Tool/Miner은 문제 중심적 마이닝 도구를 목표로 하였으며, 대표적인 마이닝 알고리즘을 적용하였고, 또한 사용의 편이성에 초점을 맞추었다. 더 나아가 데이터 마이닝 기법뿐만 아니라 데이터의 샘플링과 성능향상을 통하여 방대한 데이터로부터 다양한 지식탐사가 가능해지고, 발견된 규칙 또는 지식의 유용성 측정을 통하여 업무 분야의 특성에 따라 효과적으로 반영되며 의사결정 및 CRM 마케팅, 동향분석 및 예측 등에 유용한 정보를 추출하는 도구로 사용할 수 있을 것이다.

• Journal of Distribution Research
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• v.9 no.2
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• pp.29-43
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• 2004

This research analyzed multi-channel strategy from the viewpoint of the customer relationship management. We hypothesized that the purchase frequency, monetary, purchase quantity of the existing customers should have increased after they used multiple channels of a company for shopping, All the hypothesis were supported in an empirical test using the customer database of a Korean TV home-shopping company, The result showed that the multi-channel strategy can be used to increase the life-time value of existing customers. Still there were a lot of customers who insists using traditional channel, which calls for a new strategy inducing them to use multi- channel for shopping.

• Journal of Intelligence and Information Systems
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• v.6 no.2
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• pp.77-89
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• 2000

개념 계층(Concept Hierarchy)은 데이터베이스 분야에서 사용되는 대표적인 배경 지식(Background Knowledge)으로써, 데이터베이스에 내재되어 있는 구조적인 정보, 데이터의 분포, 영역전문가 (Domain Expert)에 의해 주어지는 외부 지식 등이 반영되어 있다. 개념계층의 특성상 부모(parent)-자 식(child) 관계가 있는 두 노드가 있을 때, 한 노드의 값으로부터 다른 노드의 값을 추정할 수 있다 이 추정된 값을 기대치라고 하고, 한 노드의 값으로부터 추정된 기대치와 실제치가 상당히 상이한 값을 보이는 노드가 있을 때, 이를 흥미롭다(interesting)고 말할 수 있다. 그러나 아직까지 개념계층 상에서의 흥미로운 부분 탐색에 대한 연구가 없었으며, 흥미로움(interestingness)의 척도(measurement) 에 대한 연구로서는 신뢰도(confidence),리프트(lift),컨빅션(conviction)등이 있었다. 그러나 이런 흥미도 의 척도에 관한 연구도 연관규칙에 한정되어 이루어졌으므로 개념계층상의 데이터에 적용하기 위해 서는 약간의 수정 및 새로운 정의가 필요하다. 본 논문에서는 데이터의 특성에 따른 개념계층이 존재할 때, 이를 이용하여 기대치와 실제치가 상이한 흥미로운 부분을 발견하고자 하며, 이를 위하여 개념계층상에서의 흥미도의 척도를 제안하고 흥미로운 부분을 탐색하는 방법을 기술하고자 한다. 또한 데이터마이닝의 결과인 연관규칙을 개념 계층에 적용하여 연관규칙을 통해 얻어질 수 있는 기대치를, 지지도(support), 신뢰도(confidence), 리프트(lift), 컨빅션(conviction)등의 관계를 통해 다양한 방법으로 모색해본다. 이 연구에서 제안하는 이러한 개념계층상의 흥미로운 부분의 탐색은, 전자 상거래에서 CRM(Customer Relationship Management)나 틈새시장(niche market) 마케팅 등에 적용 가능하리라 여겨진다.

• Journal of Fashion Business
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• v.7 no.1
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• pp.38-54
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• 2003

This study looked into the present status of e-mail marketing, which is conducted in local Internet fashion shopping malls and is being used as a one-to-one marketing method in the e-CRM concept so as to establish an effective e-mail marketing policy by grasping problems based on the current status and by presenting solutions to the problems. This study analyzed the e-mail letters received during a certain period of time by 30 professional Internet fashion shopping malls of with famous goods, brands and non-brands. Four individuals subscribed to shopping mall through the procedure for membership applying for e-mail services. The analysis showed that there were no shopping malls that were doing a differentiated e-mail marketing among Internet shopping malls. As for time factor, they were sending e-mail letters irregularly regardless of a certain cycle. And as for visual factor, they didnt have any standard for the content of the mail. As for content factor, the contents of their mail were not differentiated and all the same. The comparison of fashion malls showed that the brand shopping malls were the most active in e-mail marketing. On the basis of the problems, the direction for the effective e-mail marketing of Internet shopping malls are presented as follows: First, individualized contents fitting for customers should be developed, and differentiated mailing services should be provided thereby. Second, each shopping mall should make periodic tests of mailing to find out the optimal time and day to provide e-mail services to the customers at the designated time. Third, e-mail should be differentiated fitting for the website according to a certain on a certain standard for visual effects and the identity of shopping mall should be established. Firth, in the contents of e-mail, the image and message elements should be properly harmonized and creative policies should be made with interactive or recreational elements. Fifth, a homepage policy which can satisfy customers demand for information when the e-mail is clicked on..

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.2
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• pp.167-175
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• 2024

Due to the Fourth Industrial Revolution, ICT(Information and Communication Technology) industry is becoming more important and sophisticated than ever. In B2B based ICT industry demand forecasting by analyzing the previous customer data is so important. RFM, one of customer relationship management models is a marketing technique that evaluates Recency, Frequency and Monetary value to predict customers behavior. RFM model has been studied focusing on the B2C based industry. On the other hand there is a lack of research on B2B based technology industry. Therefore this study applied it to B2B based high technology industry and considered T(technology collaboration) value, which are identified as important factors in the technology industry. To present an improved model for market performance in B2B technology industry, an empirical study was conducted on comparing the accuracy of the traditional RFM model and the improved RFM-T model. The objective of this study is to contribute to market performance by presenting an improved model in B2B based high technology industry.

• Journal of Digital Convergence
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• v.13 no.12
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• pp.151-160
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• 2015

As a lexical meaning, casino is defined as "a certified gambling house, equipped with recreational facilities such as dance and music, etc., where people play roulette or cards." Casinos started from 17th to 18th century for European nobility and their social meetings and established a casino industry framework in the United States in the 1930s. The success of the casino business leads to the increase of sales; it became very helpful for the local and national government revenues and also for the related incidental tasks. Casino operations include a variety of fields, such as general customer management, dealer game management, security, account management, currency exchange, re-exchange management, marketing management, comp management and placement management, etc. These operations should be organically connected to each other by information systems such as a groupware, ERP and Customer Relationship Management (CRM), etc. In addition, in order to effectively manage comprehensive entertainment service, including accommodation and tourism, it is necessary to develop an information system which supports casino business and collateral entertainment service, collects the data generated throughout the business and provides information about the situations of management. Thus, this study will propose a casino information system designed and implemented, considering these details.

• CRM연구
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• v.1 no.1
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• pp.23-48
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• 2006

Internet B2C marketplace such as 'Auction', 'G Market', 'Daum onket' etc.(called open market) has grown sharply in sales about yearly 100% rate increase in recent 1-2 years in Korea. Although Open marketplace has much reputation and the customer loyalty, almost of merchants participated in open market, which size in sales are medium/small, has poor reputation and trust. Consumers, who have to get in touch with untrustworthy merchants for trade in openmarket, perceive high trade risk which undergo the monetary damages such as 'merchandise never received'. This examines what factors consumer trust develop in online marketplace. This study explores several perceived risk factors in an open market by factor analysis and multi-regression to prove the relationships between the degree of trust for the merchants and the perceived trade risk. 133 data collected from the open market user data in this survey. In this study, the consumer's trade satisfaction in open market is low by 4.2 point degree of 7 point likert scale. and perceives 4 trade risk factors such as (1) 'failure to honor warranty or guarantee' (2) 'defective/poor goods in quality' (3) 'merchandise never received or received late' (4) 'poor information'. the degree of merchant's trust has significant relationship with the degree of perceived risk(sig. = 0.0000, $R^2=.327$) We find that the open market has to enhance the relationship marketing of trust by developing the strategies.