• Information Systems Review
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• v.17 no.2
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• pp.1-27
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• 2015

Internet shopping has continued to grow rapidly in the past decade. The main cause of this growth was the cheap price and convenience. However, internet shopping is uncertain compared to off-line shopping malls. Consumers don't have a chance to directly see and touch the products they will purchase. Many previous studies have suggested a trust to resolve this uncertainty. For purposes of the study, we examined how trust affects word-of-mouth effect and third-party assurance. Furthermore, using perceived risk and perceived price as moderating effects, we analyzed to see how each group-that is, those with high perceived risk and low perceived risk and those with high perceived price and low perceived price-shows differences in trust building. The results of empirical study found that both two variables of word-of-mouth effect and third-party assurance have significant impacts in trust building of internet shopping malls. It was proven that each group-those with high perceived risk and low perceived risk and those with high perceived price and low perceived price-showed differences in trust building. The results are expected to provide both the researchers of the trust study and hands-on worker with important implications.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4543-4550
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• 2012

The purpose of this paper is to suggest the improvement method to achieve the interactive development effect between high-tech industrial complex and its surrounding areas. For this reason, this paper has conducted an empirical analysis to find out relevant comprehensive factors, affecting nearby housing prices from such plans, especially by reviewing 'Seoul Digital Industrial Complex.' This paper is truly differentiated from previous research by adding a new perspective 'diverse location characteristics', as it focuses not only on 'high-tech facility' characteristics, but also on 'urban function facilities', including 'transportation facilities', 'amenity facilities', 'security facilities', etc. Then, SPSS Version 18.0 was utilized to conduct the multiple regression analysis with the accumulated relevant data and several results were drawn out as following: Firstly, 'deterioration level', 'brand of apartment', etc. are found to be major influencing factors. Secondly, 'educational facilities', 'transportation facilities', 'Cultural & Sports facilities', 'Amenity facilities', etc. are found in the sector of 'location characteristic'. Lastly, 'leading companies within the industrial complex', were also found, affecting nearby housing prices. Therefore, when a housing development project is planned to grant the interactive development effect to high-tech industrial complex and its surrounding housing areas, it is necessary to consider variety factors, such as comprehensive location characteristics and housing complex characteristics, and also proper housing policy measures should be devised in accordance with the actual demand of employees and their dependant family members.

• The Journal of the Korea Contents Association
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• v.10 no.8
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• pp.292-300
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• 2010

In this research, the object is to analyze the impacts of the four dimensions of Marketing Mix in terms of product, price, place and promotion on store attitude and purchase intention. At the same time the mediating variables such as sense experience, feel experience and think experience in relationship among Marketing Mix and store attitude, customer experiences are also analyzed. The results show that the product, place, and promotion have significant effects on sense experience, feel experience and think experience. Another important finding is customer experiences such as sense experience, feel experience and think experience have significant effects on store attitude and purchase intention.

• Korea Real Estate Review
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• v.28 no.4
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• pp.63-73
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• 2018

The purpose of this study is to identify the key factors affecting official land values and the appropriateness of the assessed land price, to find out what determines the real estate price and to assess the appropriateness of the valuation. This study explored whether actual transaction prices of forest land located in six Gu districts in southern and northern parts of Han river are appropriate using independent sample t-analysis and logistic regression analysis. Results showed that regional differences and shape were adequate for development restriction areas, whether biotope was designated, whether or not to be preserved, differences in pitch, and differences in use, and differences in bearing and approach. Thorough analysis of unique factors that determine forest land prices must be carried out in advance and the findings should be applied to the examination and assessment of official land values. The forest land appraisal system is closely related to the public's economic activity, thus it is necessary to apply forest land value determinants considered to be significant by market participants to the forestland appraisal system. I look forward to seeing variables related to the appropriateness of forest land transactions drawn from this study being used as indices for settlement of forest land transaction orders and market stabilization.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.43-49
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• 2020

The purpose of this study was to analyze factors affecting the housing market by setting household loans and M2, which are liquidity indicators, and the industrial production index reflecting economic fluctuations, as variables, and to determine the effect of expected housing prices. An empirical analysis was conducted based on the data from January 2005 to May 2020, and the HP filter was applied to the real house price as the expected house price variable. As a result of the analysis, it was found that real household loans, real M2, and so on, had an effect on house prices, and expectations for past house prices and house prices increased the house prices in the present period. These results show that even though the liquidity expansion is aimed at revitalizing the economy, it can affect housing prices as well.

• Proceedings of the Korean Society of Computer Information Conference
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• 2014.07a
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• pp.447-450
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• 2014

넷북은 크기, 무게, 가격의 이점으로 한 때 시장에서 강력한 하이테크 기기로 인정받은 적이 있다. 그렇지만 제품 자체가 가지는 한계점을 극복하지 못하고 시장에서 도태되고 있다. 본 연구는 넷북 사용자들을 대상으로 사용의도에 부정적으로 영향을 미치는 요인들을 파악하여 제품의 시장실패 요인을 찾고자 하였다. 실증연구결과, 사용자들의 입장에서 일반적으로 부정적 요인으로 간주된 사용 비용, 사용 노력, 관련 기기 부족은 제품의 가치를 부정적으로 지각하는데 유의한 영향을 미치지 않았다. 다만, 소유자들이 제품에 대해 갖고 있는 불신은 제품의 부정적 가치를 지각하는데 유의하게 영향을 미쳤고, 제품의 부정적 지각은 사용의도에 부정적으로 영향을 미치는 것으로 나타났다. 넷북과 같은 하이테크 제품의 공급자는 소비자와 신뢰형성이 시장에서의 성과에 중요한 영향을 미치고 있음을 알 수 있으므로, 경영전략의 수립 및 실행에 이를 적극적으로 반영할 필요가 있다.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.19-37
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• 2023

This study empirically analyzed the determinants of the assessment ratio (hereinafter 'AR') based on a total of 2,129 sales cases of forests in Gwangju, Gyeonggi-do. The main findings of this study through multiple regression analysis are summarized as follows. First, this study shows that regional characteristics have significantly different effects on the AR of forest land prices. Specifically, there was a significant difference in the AR depending on the location of the parcel by sub-region and the ratio of residential area, and the higher the number of development plans in progress, the more likely the officially assessed land price will be formed close to the sale price. Second, this study analyzed that location characteristics such as the proximity of the inner and outer center of the jurisdiction and traffic accessibility had a significant influence on the determination of the AR. Third, this study identified significant differences in AR depending on detailed factors such as planning management areas, production management areas, conservation areas for mountain, conservation areas for nature, and restricted development areas as land use and regulatory characteristics of forest lands. Fourth, this study found that land characteristics are a significant factor influencing the AR as an individual factor in forest land.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.525-526
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• 2021

최근 금리 인하로 주식을 비롯한 다양한 금융상품에 대한 투자가 급증하고 있다. 주식 시장에서 가격은 시장의 모든 정보들이 반영된 결과로서 주식의 가격 변동을 이용하여 가격 패턴을 찾아낸 후 다양한 분석기법으로 주가 지수를 예측하는 연구들이 진행되어 왔다. 그러나 주식 시장은 기업의 내·외부 요인들의 상호관계가 주가 형성에 많은 영향을 주는 가격 결정 메카니즘으로 인해 주가의 변동을 설명할 수 없는 경우가 자주 발생하고 있다. 따라서 주식 시장 예측을 위해서는 시장 내부의 변화와 외부 사건들을 함께 반영할 수 있는 방법이 필요하다. 본 논문에서는 뉴스 기사들에 대한 감성 분석과 주가지수의 시계열 데이터를 딥러닝 예측 모델을 통해 주식 시장의 추세를 예측할 수 있는 주가지수 예측 프로그램을 제안한다.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.89-97
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• 2017

The number of Aged Apartment units is expected to increase as time went on. Living standards are getting better and they want a new apartment space as the economy progresses. Therefore, it is necessary to prepare for the increasing remodeling market through the feasibility evaluation method that can be applied to the remodeling project of the apartment house. The purpose of this study is to analyze the social pricing factors affecting the Officially assessed individual House Price for the analysis model of commercial house remodeling. The collected samples were analyzed using multiple regression analysis of 350 prices included in 127 lots. Middle school level, high school level, total number of households, and floor area ratio were extracted. As a result of comparing the Officially assessed individual House Price by applying to the remodeling case, the difference between the existing Officially assessed individual House Price and the improvement Officially assessed individual House Price is different. The accessibility with the subway station is included in the land price, and there is no change in the number of stories and directions because it is customized remodeling. There was a difference in the disclosure price depending on the type of factor extraction by the evaluator in a batch application of the disclosure price factors. The research can be used as a model for future remodeling business feasibility analysis.

• Journal of the Korean Regional Science Association
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• v.38 no.4
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• pp.45-58
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• 2022

This study intends to compare the factors influencing the location of international schools on apartment sales and monthly rent prices for Songdo International School in Incheon, which has a history of more than 10 years. At the latest point, 10 years after the opening of the school, apartments in areas near international schools are divided into sales and monthly rent markets and analyzed. Songdo International City, designed as a planned city, was set as a spatial scope, and 2018-19, which is a relatively stable real estate period, was set as a temporal analysis period to avoid the overheating period of real estate after COVID-19. Considering the urban image of the "New Special Education Zone," such as the opening of Songdo Campus by private academies formed around international schools and domestic and foreign universities, the multiple regression model was applied based on the traditional Hedonic price model. As a result of the empirical analysis, first, differences in the price determinants of sales and monthly rent were confirmed. Second, the price influence of international schools was much higher than that of the variables. Third, the influence of international schools was more pronounced in the monthly rent market than in the sales market.