전자상거래에서의 번들링 상품으로서의 택배서비스에 관한 분석

송재도,천세학,주지호,김재철 한국경영과학회 2004 經營 科學 Vol.21 No.3

We discuss that the proliferation of new types of retailers such as Internet shopping mails, home shopping systems, which use telecommunication media as means of providing information of products, makes delivery service generally available. Then, we show that the delivery service can be used strategically for profit maximization by intentionally homogenizing consumers and, furthermore, social welfare generally increases by this delivery service unless the cost of delivery service is higher than that of ail consumer groups.

스포츠 브랜드 기업의 SNS 정보특성, 미디어 및 브랜드 인게이지먼트, 구매의도의 구조적 관계

전윤기(Yoonki Chun),이정학(Jeoung-Hak Lee),김민준(Min-Jun Kim),고세진(Se-Jin Ko) 한국사회체육학회 2023 한국사회체육학회지 Vol.- No.93

Purpose: The purpose of this study is to examine the relationship amogn sport brands’ social media information traits, media and brand engagement, and consumers’ purchase intentions. Method: The study targeted consumers who have experienced sport brands’ social media and collected data through online surveys (N=546). The surveys included 28 maesurement items. The data were analyzed using SPSS and AMOS software, and frequency, reliability ,and correlation analysis were performed. Further, confirmatory factor analysis and structural equation modeling were used to test the hypotheses. Results: First, the traits of entertainment and accessibility had a gsinificant positive effect on media engagement. Second, the quality of information trait had a signiicfant positive effect on brand engagement. Third, both the quality of information and accessibility trait shad a significant positive effect on consumers’ purchase intention. Fourth, media engagement had a positive efefct on brand engagement. Fifth, media engagement had a positive effect on purchase intention. Sixth, brand engagement had a significant positive effect on purchase intention. Seventh, the relationship between sport brands’ social media information traits and consumers’ purchase intention was mediated both indviidually and serially by media and brand engagement. Conclusion: Overall, the results of this study suggest that sport brand se’fforts in providing quality content on their social media platforms can generate positive enggaement with customers and may lead to purchase intentions. Further implications and future directions are discussed.

온라인 거래에서 사고 발생시 누가 이의 입증책임을 질 것인가?

Chun, Se-Hak,Cho, Woo-Je,Kim, Jae-Cheol 한국경영정보학회 2007 한국경영정보학회 학술대회논문집 Vol.2007 No.-

In this study, we examine why there exist different legal systems in electronic commerce or online financial trading. When a fraud online transaction occurs and the online customer disputes the transaction, the online customer takes responsibility for the proof of her/his argument in many European countries while in the U.S., the burden of proof lays on the firm. This paper analyzes how these two different legal systems exist and how these can be applied to electronic commerce law. In particular, this paper intends to find the optimal level of e-commerce firms' investment on security and analyzes how security investments can be related to firm's profits and consumer's welfare depending on IT infrastructure and social trust environment. More on, this paper can be contributed to provide guidelines for regulatory framework on ecommerce online transactions and discuss social welfare implications.

전자상거래에서의 채널갈등에 따른 가격전략에 관한 연구

Se-Hak Chun,Seong-Young Park,Jae-Cheol Kim 한국경영정보학회 2009 한국경영정보학회 학술대회논문집 Vol.2009 No.-

Data mining technique for medical informatics: detecting gastric cancer using case-based reasoning and single nucleotide polymorphisms

Chun, Se-Chul,Kim, Jin,Hahm, Ki-Baik,Park, Yoon-Joo,Chun, Se-Hak Blackwell Publishing Ltd 2008 Expert systems Vol.25 No.2

<P>Abstract</P><P>Although data mining and knowledge discovery techniques have recently been used to diagnose human disease, little research has been conducted on disease diagnostic modelling using human gene information. Furthermore, to our knowledge, no study has reported on diagnosis models using single nucleotide polymorphism (SNP) information. A disease diagnosis model using data mining techniques and SNP information should prove promising from a practical perspective as more information on human genes becomes available. Data mining and knowledge discovery techniques can be put to practical use detecting human disease, since a haplotype analysis using high-density SNP markers has gained great attention for evaluating human genes related to various human diseases. This paper explores how data mining and knowledge discovery can be applied to medical informatics using human gene information. As an example, we applied case-based reasoning to a cancer detection problem using human gene information and SNP analysis because case-based reasoning has been applied in medicine relatively less often than other data mining techniques. We propose a modified case-based reasoning method that is appropriate for associated categorical variables to use in detecting gastric cancer.</P>

Service models and pricing schemes for cloud computing

Chun, Se-Hak,Choi, Byong-Sam Springer-Verlag 2014 Cluster computing Vol.17 No.2

Economic Analysis of Privacy Enhancing Technologies (PETs) and Adoption Strategy

Chun, Se-Hak 경성대학교 산업개발연구소 2016 산업혁신연구 Vol.32 No.2

본 연구는 프라이버시 향상 기술이 데이터시장에서 기업들의 경쟁전략으로 사용될 수 있음을 분석한다. 본 연구는 소비자들이 심리적인 프라이버시 비용을 느낄 때 기업들이 프라이버시 향상기술을 어떻게 도입하는지에 대하여 경제적 모형을 통하여 분석한다. 본 논문은 소비자들이 프라이버시에 대해 우려할수록 그리고 심리적인 프라이버시 비용이 클수록 기업은 프라이버시 향상기술을 도입하려고 한다는 것을 보여준다. 그러나 만약 초기 프라이버시 침해확률이 너무 높은 경우는 프라이버시에 대해 우려할수록 그리고 심리적인 프라이버시 비용이 클수록 기업은 프라이버시 향상 기술을 도입하는 것을 꺼려할 수도 있다는 것도 보여준다. This paper analyses how privacy enhancing technologies can be utilized as firm’s competitive strategy for the data market. This paper uses an economic model to investigate how firms adopt privacy enhancing technologies when consumers feel psychological privacy costs. This paper shows that firms will adopt privacy enhancing technologies as more consumers tend to be a privacy awareness group and consumers’ psychological privacy costs increase. However, the firm can hesitate to adopt privacy enhancing technologies as privacy awareness group and psychological privacy costs increase when privacy breach probability without privacy enhancing technologies is too high.

Dynamic Adaptive Ensemble Case-Based Reasoning : Application to Stock Market Prediction

Se Hak Chun,Yoon Joo Park 한국경영정보학회 2004 한국경영정보학회 학술대회논문집 Vol.2004 No.-

FINANCIAL FORECASTING THROUGH DATA MINING : A COMPARATIVE EVALUATION OF PROBABILISTIC NEURAL NETWORKS AND OTHER MODELS

Chun, Se Hak,Kim, Steven H. 한국경제학회 2002 The Korean Economic Review Vol.18 No.1

In recent years, neural networks have been applied extensively to the task of predicting financial variables. Even among neural network techniques, backpropagation algorithm has been the most popular methodology. However, the advantages of other learning techniques such as the swift response of the probabilistic neural network (PNN) suggests the desirability of adapting other models to the predictive function. Unfortunately, the conventional architecture for probabilistic neural networks yields only a bipolar output corresponding to Yes or No; Up or Down. This limitation may be circumvented in part by using a graded forecast of multiple discrete values. More specifically, the approach involves a bipolar architecture comprising an array of elementary PNNs. This paper explores a number of interrelated topics: (1) presentation of a new architecture for graded forecasting using an arrayed probabilistic neural network (APN); (2) use of a "mistake chart" to compare the accuracy of learning systems against default performance based on a constant prediction; and (3) evaluation of several backpropagation models against a recursive neural network (RNN) as well as PNN, APN, and case based reasoning. These concepts are investigated against the backdrop of a practical application involving the prediction of a stock market index.

전자상거래하에서 채널갈등과 닷컴기업의 분할에 관한 연구

천세학(Chun, Se-Hak),박성용(Park, Seong Y.),김재철(Kim, Jae-Chul) 한국상품학회 2009 商品學硏究 Vol.27 No.2

본 논문에서는 온라인과 오프라인에서 동일 브랜드 제품을 판매하는 경우, 제조회사와 유통회사간의 채널갈등을 고려한 가격 전략을 도출해 본다. 특히 제조회사들이 인터넷으로 제품을 직접 판매하는 경우 유통회사와 제조회사의 채널파워에 따라 기업의 가격전략이 어떻게 달라지는지 살펴본다. 제조회사가 온라인가격과 오프라인 가격을 매치시키는 경우, 제조회사가 리더인 경우, 유통회사가 리더인 경우, Vertical Nash인 경우에 각각의 관련 가격들을 도출하고, 어떤 경우에 온라인과 오프라인 가격에 있어서 차이가 나는 가를 고찰하여 본다. 공급사슬 체인상에서 가격 설정 시에 발생할 수 있는 채널갈등을 고려하면서, 온라인과 오프라인 비용의 차이, 소비자 이질성 등이 가격결정에 어떤 영향을 미치는 지에 대한 모델을 제시하여 기존 연구를 확장하였다. In this paper, we investigate the pricing strategy when there exist channel conflicts between manufacturer and retalier in hybrid marketing setting. In particular, we examine how the pricing strategies are affected when channel powers create different types of channel conflicts. In order to examine these relationships, four different situations: matching strategy, retailer-Stakelberg, manufacturer-Stakelberg, Vertical Nash, are compared in terms of prices. The differences in the online and off-line costs that consumers face and the consumer heterogeneity are considered.