• 한국정보시스템학회지:정보시스템연구
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• 제20권3호
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• pp.41-61
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• 2011

In order to buy products through the Internet, consumers dissipate much time and efforts in collecting and comparing product information from various online shopping malls. Consumers can save their efforts by using price comparison sites, but there are some shortcomings in comparison shopping. Firstly, comparison sites do not show the lowest price of some products that are selling in shopping malls. Secondly, the product information provided by comparison sites is sometimes wrong. Thirdly, there are too many results. In order to overcome the shortcomings, we suggested a comparison shopping system based on RSS by using ontology matching. We used the current RSS standard for syntactic interoperability instead of suggesting new standards. Moreover, we used ontology matching for semantic interoperability to compare product information with different ontologies. The suggested ontology matching consists of three steps. The first step is finding exact sense from WordNet for a given product category, and the second step is searching for matching product category candidates from the products of RSS feeds. The final step is calculating similarities of the candidates with the target product category. From the experiments, we could get better recall rates that are suitable for e-commerce environments and the results show that our system is effective in product comparison.

• 대한지리학회지
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• 제48권2호
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• pp.272-287
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• 2013

본 연구는 부동산 가격 추정을 위해 자주 활용되는 헤도닉 가격모형(Hedonic Pricing Model)에서의 설명변수, 즉 지가형성요인의 선별 중요성에 대해 기술하고, 이러한 지가형성요인 및 그 효과가 시간의 경과에 따라 어떻게 변화하는지 실증적으로 검토하였다. 전주시를 사례 지역으로 하여 17년간 반복 측정된 표준지 공시지가를 분석 대상으로 하였으며, 자료가 가지는 포섭구조(nested structure) 및 종단성(longitudinal characteristics)을 고려하여 3개 수준으로 구성된 다수준모형(multi-level model)을 설정하여 적합 정도를 평가하였다. 지가형성요인은 공시지가 산정시 활용되는 헤도닉 가격모형의 일종인 비준표(比準表)에 포함된 항목을 중심으로 살펴보았다. 분석 결과, 17년간의 지가 변동 추세는 전주시 세부지역별로 상승 또는 하락하는 등 지역마다 다른 추이를 보였으며, 따라서 종단효과의 모델 반영이 필요함이 확인되었다. 또한 일반적으로 중요하다고 여겨지는 지가형성요인 중 유의하지 않은 요인이 발견되었으며, 특정 시점에서 영향력이 상당히 큰 것으로 판명된 지가형성요인도 시간의 경과에 따라 그 영향력이 약해지는가 하면, 반대로 지가에 미치는 영향력이 초기에는 미약하였으나 점차 뚜렷해지는 요인이 파악되었다. 향후 헤도닉 모형 적용시 이러한 지가형성요인의 동태성을 모델의 구성요소로 고려할 경우 보다 정확한 가격 추정이 가능해질 것이다.

• 수산경영론집
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• 제28권2호
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• pp.87-105
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• 1997

The objective of this study is to analyze the effects of the oyster seed selection on profitability of the oyster aquaculture business The results of the analysis are as follows ; 1) The comparison of profitability among four different oyster seed applied to the four different scale : 1ha, 3ha, 5ha, and 10ha. The results of the comparison show that, for all scale, the artificial oyster seed is more profitable than the natural oyster seed or the natural oyster seed imported from Japan. 2) There are four important determinant variables of profitability to aquaculture business. In the order of their effect, it is oyster price, quantity of production, labor cost, and seed price. 3) If differences of price between the artificial hardening oyster seed and the natural hardening oyster seed are more less 1,430 won, the former is better. 4) The effect of increasing income of fishermen are estimated about 58.5 billion won or 102 billion won from the artificial oyster seed on the oyster aquaculture.

• 한국콘텐츠학회논문지
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• 제11권3호
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• pp.377-388
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• 2011

본 연구는 거시 전략 관점의 기존 중국 연구들과 달리 기초 마케팅 차원에서 한국과 중국 소비자들을 대상으로 마케팅 믹스 중요도를 비교하고자 하였다. 세부적으로 마케팅 믹스에는 상품품질 및 브랜드(product), 상품가격(price), 매장분위기(place), 광고 및 가격할인(promotion)이 포함되었다. 설문조사는 2010년 1월과 2월 한 달 간격으로 양국의 대표적 대도시들인 서울, 부산, 북경, 상해에 거주하는 80년대 출생 315명을 대상으로 일대일 자유 면접 형식으로 이루어졌다. 연구 결과 상품가격 중요도는 중국 소비자에게서, 브랜드 및 광고 중요도는 한국 소비자에게서 높은 것으로 나타났다. 한편, 상품품질 중요도는 중국 소비자에게서, 매장분위기 중요도는 한국 소비자에게서 한계적으로 높은 것으로 나타났다. 반면, 가격할인 중요도는 양국 소비자간 분명한 차이가 나타나지 않았다.

• 한국의상디자인학회지
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• 제13권1호
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• pp.147-158
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• 2011

This study analyzed the effective and suitable promotion method to increase visitors on the internet fashion soho shopping mall by surveying of female university students. The methods were in-depth interviews for 20 students and questionnaires for 363 students. The results indicated that the main routes of visiting the internet fashion shopping mall were keyword search window, banner advertisement window, and open market. Others were price comparison sites, the rank shop, fashion magazines or internet news, information in e-mail, broadcasting sponsor advertisements, name cards, and leaflets. So the effective methods to increase the number of visitors is to implement keyword advertisements, banner advertisements, and enter the open market to expose the brand names and item information. Being on price comparison sites or rank shops, advertisements in the fashion magazines, internet news or e-mail, broadcast sponsorships, and distribution of leaflets or name cards were also effective methods.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.

• 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.

• 한국전자거래학회지
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• 제19권3호
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• pp.143-158
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• 2014

경쟁이 치열한 온라인 마켓에서의 가격결정은 판매자에게 있어서 매우 중요한 업무이다. 가격비교 사이트의 등장으로 동일한 상품에 대한 소비자들의 가격 민감도가 더 높아졌기 때문에 가격조정의 중요성은 점점 커지고 있다. 본 연구는 온라인마켓에서 시간의 흐름에 따른 판매자들 간의 가격조정 패턴을 분석하고자 하였다. 연구를 위하여 가격비교사이트에 올라온 컴퓨터 주변기기에 대한 가격 데이터를 수집하였다. 그리고 몬테카를로 시뮬레이션을 개발하고 판매자들 간의 가격조정 타이밍이 비슷한지를 분석하여 가격담합의 가능성을 탐색하였다. 분석결과는 판매자들 간의 가격조정 타이밍이 비슷하게 나타나는 가격담합현상을 보였으며, 판매자들 간의 가격의존도가 주 단위가 아닌 일 단위가 더 높다는 것이 발견되었다.

• 가정과삶의질연구
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• 제7권1호
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• pp.15-25
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• 1989

The purpose of this study is to examine the factors affecting the consumer's search for information and the relationship between the amount of search and the final price paid. The model indicates the demand for search is affected by the market price of each durable good purchased, the tim available for search, family income, direct cost of search, the initial stock of information, effectiveness of search, and shopping attitudes. The final price savings are a function of search, price of dispersion in the market, the initial stock of information, and effectiveness of search. Data from the Pane Study on Consumer Decisions and Asset Management were used for the empirical testing of the theoretical model. The amount of information search as dependent variable is represented by two different measures, the level of discussion with others and the number of stores visited. The amount of discussion with others depends mainly on the respondent's shopping attitude. The higher the wife's desire to search, the higher the degree of husband's comparison shopping, the less the husband's perception of price-quality relationship, the higher the level of discussions with others. The number of stores visited depends on the average market price of product purchased and the level of family income. The higher the average market price and he higher the level of family income, the greater the number of stores visited. The final savings depend upon the level of information search. The greater the number of store visited, but the less the purchase is discussed with stores, the higher the final savings are.