• Journal of Information Technology Applications and Management
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• 제9권1호
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• pp.61-70
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• 2002

There are a lot of shopping malls in Internet and most of consumers want to buy good goods in cheap price through the shopping malls. To support them, many sites for price comparison are constructed. But man or woman search many shopping malls and insert their price informations into database that the price comparison sites own. To overcome this disadvantage, virtual shopping malls are builded. These virtual shopping malls are connected and cooperated a lot of affiliated existing shopping malls for the cheapest price information. But, these virtual shopping mall are connected to those existing shopping malls in synchronous. So If they are connected to many existing shopping malls, we have to wait long time because of searching for many existing shopping malls. In this paper, we designed and implemented a virtual shopping mall that connect to many existing shopping malls in asynchronous. For a asynchronous communication between this virtual shopping mall and many existing shopping malls, we used JMS (Java Message Service) that is a standard Java API for MOM (Message-Oriented Middleware).

• 마케팅과학연구
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• 제17권4호
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• pp.201-221
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• 2007

인터넷 쇼핑에 있어 가격은 제품에 대한 정보단서로서 중요해지고 있으며 가격에 대한 의존성 역시 점차 높아지고 있다. 본 연구는 이러한 가격민감도와 플로우에 관한 문헌고찰을 토대로 인터넷 쇼핑에서 소비자들이 경험하는 플로우가 재방문의도에 중요한 역할을 하고 있지만, 인터넷 쇼핑 행동의 또 다른 특성인 가격민감도는 오히려 플로우를 감소시킬 가능성이 있음을 제안한다. 인터넷 쇼핑에서의 가격민감도, 플로우, 재방문의도의 관계 검증과 함께 쇼핑몰의 유형에 따른 차이도 살펴본다. 연구결과, 인터넷 쇼핑몰에서의 플로우 경험은 재방문의도를 높이지만, 가격민감도 차원 중 가격탐색차원은 플로우의 각 차원에 부정적인 영향을 미치고 있는 것으로 나타났으며, 또한 이러한 영향은 가격비교쇼핑몰, 경매쇼핑몰, 종합쇼핑몰에 따라 다른 결과를 보이고 있다.

• 한국유통학회:학술대회논문집
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• 한국유통학회 2004년도 춘계학술대회 발표논문집
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• pp.277-307
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• 2004

• 복식
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• 제63권8호
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• pp.156-170
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• 2013

The purpose of this research is to scrutinize the cyclist's consumer behavior by analyzing the eWOM information search behavior of cycle-wear according to benefits sought and involvement. The research was conducted through an online survey and the respondents were 291 men who wore cycle-wear and searched information via online. The results of this research are as following. First, the benefits sought from wearing cycle apparel are composed of five sub-factors such as, ideal body figure, brand ostentation, comfort ease, personality, and economic feasibility. In addition, the cycle-wear involvement consisted of two sub-factors: cycling involvement and fashion involvement. Second, the eWOM information search behavior of cyclists was different depending on the benefits sought by the cyclists. When the cyclists pursued ideal body figure they searched more information of design and color, while cyclists put more weight on the information of design, color, and brand when they sought brand ostentation. Moreover, the valence and the type of the information were dissimilar depending on the benefits sought. Third, the sub-factors of eWOM information search behavior affected the eWOM effect distinctively. The price information was the only factor that influenced the eWOM effect among the contents of the information. The valence of the information influenced the eWOM effect, and the effect of positive information was stronger than negative information. Additionally, the subjective information also affected the eWOM effect. Lastly, the effect of the benefits sought influencing the eWOM information search behavior varied by the difference of the cycle-wear involvement. For example, when they are both high in the involvement there were various benefits sought affecting the eWOM information search behavior. However, when only the cycling involvement was high, and they pursued personality, the price information was not important to them.

• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.289-301
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• 2020

Purpose This study analyzes whether Internet search of cryptocurrency has a causal relationship to return and volatility of cryptocurrency. Design/methodology/approach Google Trend was used as a measure of the level of Internet search, and the parametric tests of Granger causality in the 1st moment and the 2nd moment were adopted as the analysis method. We used Bitcoin's dollar-based price, which is the No. 1 market value among cryptocurrency. Findings The results showed that the Internet search measured by Google Trends has a causal relationship to cryptocurrency in both average and volatility, while there is a difference in causality and its degree according to the search area and category that Google Trend user should set. Because the Granger causality is based on the improvement of prediction, the analysis results of this study indicate that Internet search can be used as a leading indicator in predicting return and volatility of cryptocurrency.

• 유통과학연구
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• 제9권1호
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• pp.39-48
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• 2011

본 연구는 가격할인이 관여도의 수준에 따라 가치지각 간에 미치는 영향의 경로가 서로 상이하다는 가정 하에 관여도에 따른 지각가치와 구매의향 및 탐색의도 간의 관계를 실험적으로 검증하였으며, 그 결과는 다음과 같다. 첫째, 고관여의 경우는 지각거래가치가 지각획득가치에 긍정적인 정(+)의 영향을 미치는 것으로 나타났다. 또한, 고관여 구매자의 지각획득가치는 구매의향에 긍정적인 정(+)의 영향을 미치는 것으로 나타난 반면, 지각획득가치가 탐색의도에 미치는 영향은 통계적으로 유의하지 않은 것으로 나타났다. 둘째, 저관여의 경우에도 고관여와 같이 구매자의 지각거래가치는 구매의향에 긍정적인 정(+)의 영향을 미치는 것으로 나타났다. 반면, 지각획득가치가 탐색의도에 대하여 부(-)의 영향을 미치지 못한 것으로 판단된다. 이는 가격할인에 따른 거래가치 향상에도 불구하고 지각품질 수준이 하향되면서 품질에 대한 의심이 생겨 추가정보 탐색의 필요성이 생김에 따른 것으로 풀이된다. 이러한 연구결과는 소비자는 관여도에 따라 획득가치 또는 거래가치에 대하여 중요하게 인지하지만 소비자가 어떤 지각가치에 더욱 의존하여 구매행동을 결정짓는가에 따라 이에 부합하는 가치 향상전략을 수립해야 한다는 시사점을 제시하고 있다.

• 문화경제연구
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• 제17권2호
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• pp.3-28
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• 2014

공연예술 수요는 가격 이외의 사회 경제적 요인들 그리고 교육과 경험 지식 같은 문화자본의 영향을 받는다고 알려져 있다. 공연에 대한 지식과 경험과 관련하여 본 연구에서는 개별 공연이 가지는 정보가 수요에 미치는 영향을 거래비용 관점에서 분석하려 하였다. 이를 위해 실제 공연장 자료를 바탕으로 연구 모형을 회귀분석을 이용하여 선택된 공연의 장르, 가격, 인지도 등의 요소가 유료관람객 수에 준 영향을 실증 분석한 결과, 거래비용 특성에 따라 수요가 달라짐을 알 수 있었다. 그리고 일반적으로 가격과 수요는 반비례 관계로 알려져 있으나, 분석 결과 일정 가격 이상에서는 정비례 관계로 나타났다. 이 결과를 해석해보면, 가격이 상품의 질을 평가하는 정보로 사용된 것으로 볼 수 있으며, 관객이 공연관람을 통하여 얻을 수 있는 기대효용에 가격이 영향을 미치는 것을 의미한다. 상기한 분석결과를 통하여 공연의 가격에 따른 소비자의 거래비용의 경향을 확인할 수 있었다. 또한 분석 결과가 순수한 공연 관람 이외의 사회적 맥락의 소비라는 이론을 뒷받침할 수 있는 가능성을 보여주었다.

• 대한가정학회지
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• 제41권9호
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• pp.69-83
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• 2003

Today, because of the consumers who should constantly decide which to buy in a flood of information can't search for complete information by the limited time and the lack of the ability in evaluating the goods, the price being important as the information clue in consumers' goods or dependence on the price will be gradually increasing. The purpose of this study is to know how much price sensitivity recognized by consumers will have and effect on buying feeling of satisfaction in internet shopping mall. The result of this study is that the consumers' target-oriented behavior searching appropriate price for buying goods in internet shopping mall substantially elevates the price sensitivity and shapes the positive attitude toward the feeling of satisfaction. It is meaningful in that it has provided the base for studying the price sensitivity centering around some limited factors through actual proof of how the consumers respond to the price at this point of activating online transactions.

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.179-187
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• 2019

This study aims to investigate the effects of market commonality and resource similarity on price competition and the recursive consequences in the Korean lodging market. Price comparison among hotels in the same geographic market has been facilitated through the development of information technology, rendering little search cost of consumers. While the literature implies the heterogeneous price attack and response among hotels, a limited number of empirical researches focus on the asymmetric and recursive pattern in the competitive dynamics. This study empirically examines the price interactions in the Korean lodging market based on the theoretical framework of competitive price interactions and countervailing power. Demonstrating superiority to the spatial lag model and the ordinary least squares in the estimation, the results from spatial error model suggest that the hotels with longer operational history pose an asymmetric impact on the price of the newer hotels. The asymmetry is also found in chain hotels over the independent, further implying the possibility of predatory pricing. The findings of this study provide the evidence of a hierarchical structure in the price competition, with different countervailing power by the resources of the hotels. Theoretical and managerial implications are discussed, with suggestions for future study.

• Journal of Information Processing Systems
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• 제15권3호
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• pp.694-706
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• 2019

In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.