• Cartoon and Animation Studies
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• s.46
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• pp.23-61
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• 2017

This study aims to understand the using characteristics of TV animation and web-based animation of children and investigate the effects of change in viewing process on the purchase of character goods. For this purpose, an online survey was conducted for parents who have children as animation viewers. The results show that there was no difference by age or gender in using both TV and web animation. When parents get animation information on TV, they had their children watch animation through the same TV channel, but the web has no significant relationship between information acquisition path and main service they use. In addition, it is found that parent' perception of TV animation superiority is influenced by respondents' income and children's watching time of animation has no effect on it. Finally, monthly income of households, payment amount of web animation, watching time of TV animation, and perception of quality of TV animation have a significant effect on parents' active purchase of character goods. On the other hand, the purchase intention of the recommended goods is influenced by children's age, the parent's perception about the web animation quality, and the payments of the web animation.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.163-165
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• 2000

고객 DB를 통해 세분 고객별로 구매량, 주요 고객을 파악케 하며 각종 마케팅 활동이나 판촉활동이 고객의 구매/이용 패턴에 어떤 영향을 미치며, 물품을 구매하는 소비자의 다양한 구매 패턴을 분석하기 위해서 쇼핑몰 운영자가 여러 각도에서 문제 분석과 의사 결정을 빠르고 신속하게 할 수 있도록 기존 쇼핑몰의 관계형 DB을 이용하여, 다차원적 데이터 모델링을 통해서 다차원적인 분석이 가능하도록 하는 ROLAP를 이용한 인터넷 쇼핑몰의 데이터 웨어하우스 구축 방안을 제시하고자 한다.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.76-82
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• 2016

Decision-making in construction projects often include options features. Such embedded options are difficult to value properly and many decision makers do not have experience in option analysis. The purpose of this paper is to demonstrate how real option analysis can be used to value capital expenditures on construction materials. We propose a real option framework to evaluate decision-making processes involving the purchase of construction materials. A case study was conducted by evaluating the purchase decision-making of solar cells, a good with high price volatility. Using real option analysis two strategies to improve the financial feasibility of installing a solar panel system were derived. The first strategy involves using a price cap that gives the project manager the right, but not obligation, to buy the modules for a predefined price during the next year. The second strategy is to defer the purchase of the solar cells until future price information becomes clearer. Both of the strategies in the case study were valued using the binominal model. This study will help to improve the financial feasibility of purchasing construction materials with high price volatility by including the value of managerial flexibility.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 1999.10a
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• pp.243-249
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• 1999

구매 의사 결정 과정에서 구매자는 상품 정보와 가격 정보를 필요로 한다. 웹상의 판매자 위주의 시장으로부터 필요한 정보를 수집하려면, 구매자는 매번 구매 때마다 판매자의 사이트를 검색해야 한다. 심지어 구매자가 거래하고 있는 판매자로부터 과거에 구매한 경험이 있는 아이템을 구매하는 경우에도 마찬가지이다. 현재의 전자상거래 환경에서는, 이렇게 기억을 활용하지 않고(memory-less) 검색에만 의존하는 구매자의 행태가 일반적이다. 이 현상을 조직의 구매 경험이 구성원들에게 공유되어야 하는 기업 구매자의 경우에 있어서는 대단히 낭비적인 요소로 작용될 것이다. 구매자 에이전트에게 기억 능력을 부여하려면, 구매자 에이전트와 판매자 에이전트가 갖고 있는 정보간의 일관성을 유지해 주어야 할 필요가 있다. 최소의 노력으로 일관성을 유지하려면, 구매자 에이전트와 판매자 에이전트간에 체계적인 갱신 프로토콜이 필요하다. 본 연구에서는 6가지의 프로토콜(Instantaneous Pull, Periodic Pull, Instantaneous Push, Periodic Push, Instantaneous Solicited Push, Periodic Solicited Push)을 비교하고, 에이전트의 아키텍처와 KQML/XML에 기반 한 메시지 구조를 제시한다. 이들 프로토콜의 상황에 따른 수행 성능 평가가 진행 중이며, 이러한 상황에 적응할 수 있는 에이전트의 프로토타입이 현재 개발 중이다.

• 한국데이터정보과학회:학술대회논문집
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• 2001.10a
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• pp.12-12
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• 2001

정보기술을 바탕으로 전자상거래의 규모는 빠르게 늘어가고 있다. 본 연구에서는 종합쇼핑몰의 성격을 띠는 사이버 쇼핑몰의 고객과 구매 고객의 특성 등을 살펴보고 의사결정나무를 이용한 이탈고객의 분류, 쇼핑몰에 등록된 상품군과 인구특성적인 변수들간의 대응분석을 실시하여 쇼핑몰에 대한 인식을 제고한다.

• Journal of the Korean Data and Information Science Society
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• v.20 no.4
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• pp.615-627
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• 2009

In micro marketing promotion, it is important to know the behavior of customers. In this study we are interested in the forecasting of repurchase of customers from customers' behavior. By analyzing the cosmetic transaction data we derive some variables which play an important role in the knowledge of the customers' behavior and in the modeling of repurchase. As modeling tools we use the decision tree, logistic regression and neural network model. Finally we decide to use the decision tree as a final model since it yields the smallest RASE (root average squared error) and the greatest correct classification rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.11
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• pp.229-238
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• 2017

The study suggested plans to solve the problems of unsold apartments that lead to social and economic issues in our society, analyzed the characteristic factors related to the unsold apartment residents, investigated the preference factors, and finally determined the influence structure between the characteristic factors of residents and the mitigation factor of unsold apartment, for the repurchase intention. From previous studies, this study determined the characteristic factors based on the physical, environmental, social and economic characteristics to make up the characteristic factors for the unsold apartment residents. Then, through a Focus Group Interview (FGI) among the members of a real estate specialist group, it summarized the suitable factors for analysis and analyzed the influence structure between all factors through Partial Least Squares Structural Equation Modeling (PLS-SEM). The study results show that the mitigation factors are the most profound cause of the decision-making for unsold apartment residents, followed by economic factors and residential factors. In addition, the residential satisfaction for the unsold apartment residents has a positive relation with the repurchase intention.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.101-110
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• 2012

In recent days, lots of social commerce newly emerged business types of e-commerces are on the basis of social network. Therefore social commerce with social network might be powerful communication channel among customers and has suggested new paradigm in transaction model on the internet. In general, major roles of social commerce sites are to promote transaction with high discount rate and/or lots of event and to activate markets of local area. As characteristics of social commerce such as dynamic, rapid, and open, this research was assumed that design factors of sites that are different from existing e-commerce sites might be influential elements in decision making of purchase. This research is to empirically investigate which factors affect purchase decision making behaviors for 20s respondents who are major users of social commerce services. As a result major factor, easy-to-use, affecting decision making factors was identified and this result can give implication to researchers and persons in charge of fields who have interests in commerce site design and upgrade.

• Environmental and Resource Economics Review
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• v.17 no.2
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• pp.327-347
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• 2008

This study proposes a new answering mechanism of deciding whether to purchase or not under uncertainty-real risk answering mechanism (R-RAM) for real transaction and hypothetical risk answering mechanism (H-RAM). It IS also. shown that the traditional answering mechanism (TAM) assumed in most of existing contingent valuation methods should be applied in a real transaction without uncertainty. While the willingness to pay (WTP) being simply compared with the bidding price m TAM, the mean of WTP should be greater than the bidding pnce at least by the risk premium for a purchase decision m R-RAM and H-RAM. Only difference between R-RAM and H-RAM is risk premium. The H-RAM takes a smaller risk premium than the R-RAM. This study proposes the contingent valuation method (CVM) with H-RAM could be an alternative to reducing the under-or over-estimation of WTP by comparing the WTP estimates obtained from three different CVMs with TAM, R-RAM and H-RAM.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.507-510
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• 2016

SNS connect off-line and on-line so that it forms a relationship by sharing users' life and interests. Especially, marketing through SNS is not only economical also it spreads in the fast pace. Thus, many enterprise recognize SNS as a part of platform of ads and they are constantly investing on SNS ads. Also, with the spread of smartphones, the rate of adolescents who use SNS has soared and the rate of exposure to SNS ads also has increased. However, SNS ads have great impact on adolescents'decision-making, because their values of decision-making has not been well developed so that they are easy to influenced by external factors. Therefore, this study aims to understand the effect of SNS ads on adolescents'decision-making.