• 한국의류학회지
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• 제28권6호
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• pp.830-841
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• 2004

The necessity to understand shopping orientation is increasing. Yet, there has been few research that investigated the conceptual structure of clothing shopping orientation[CSO]. Therefore, the purpose of this study is to develop the conceptual structure of CSO. For that purpose, both documentary and empirical researches were conducted. The documentary research was conducted to develop a theoretical structure model as a basis for exploring the conceptual structure of CSO. The empirical research was conducted to identify and modify the theoretical model so as to develop a conceptual structure model. The data was analyzed using confirmatory factor analysis, exploratory factor analysis, and Pearson's correlation analysis. As a result, a conceptual structure model of CSO was developed. The model consisted of three hierarchical levels of dimensions; upper-dimensions, middle-dimensions and lower-dimensions. The upper-dimensions were composed of 'economic', 'hedonic', and 'convenient' dimensions. Each upper-dimension consisted of middle-dimensions and lower-dimensions. Confirmatory factor analysis was executed to assess the fitness and cross validity of the structure model.

• Asia pacific journal of information systems
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• 제20권4호
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• pp.125-147
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• 2010

This paper Introduces an electronic auction service to be provided on Interactive TV (T-auction). This converged service is expected to much enhance the quality of the service to current online auction users through vivid visualization and live Interactive experience. Our study focuses on how the characteristics of the interactive TV-based shopping platform can affect users' attitudes towards the converged service. To develop our proposed research model, we extended the technology acceptance model and integrated it with a hedonic factor, or perceived enjoyment to reflect the dual characteristics of the converged system. We also adopted the variable of intermediary trust In the service as a critical mediating determinant for a successful commutations-mediated commerce. The research model was verified with an empirical study conducted on 970 Korean online auction users. Results show that both trust and perceived usefulness positively affect user adoption of the service. Trust had not only a direct effect on users' attitudes toward T-auction but also an indirect one by mediating the service quality, information quality, perceived enjoyment and ease of use. Meanwhile, the hedonic factor of T-auction contributes to increasing both the level of the intermediary's trust and its perceived usefulness. Users' enjoyment also was found to help form a positive attitude toward T-auction services. Theoretical and practical implications of this study for current e-auction service providers and potential t-auction service providers are also discussed.

• 한국콘텐츠학회논문지
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• 제12권2호
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• pp.461-471
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• 2012

본 논문의 목적은 공간적탐색기법을 이용한 부산 주택시장 다이나믹스 분석으로써 MATLAB toolbox M-file을 이용하였다. 본 연구에서 사용된 자료는 2006년부터 2009년 2분기까지 공개된 부산지역 아파트 실거래가 64,530개 자료를 기준으로 법정동을 분류하여 각 평균값을 분석에 이용하였다. 주택시장분석에 많이 이용되는 헤도닉가격 모형은 도시주택경제 분야에서 주택시장 다이나믹스를 설명하는데 강력한 분석기법의 하나이다. 그럼에도 불구하고 전통적인 헤도닉가격 모형은 공간적자기상관의 영향력을 반영하지 않는 단점이 있다. 따라서 본 논문에서는 공간자기상관 관계를 반영한 다양한 공간계량모형, 예를 들어, 공간자기회귀모형(SAR), 공간오차모형(SEM), 일반공간모형(SAC) 등을 보통최소자승법을 이용한 전통적 헤도닉가격 모형과 비교하고자 한다. 이를 위해 결정계수($R^2$), 분산(${\sigma}^2$), 우도함수(Likelihood)의 값 등의 지표들을 이용하였다. 분석결과 공간자기상관을 고려한 공간계량모형이 전통적 헤도닉모형에 비해 높은 설명력을 보여주고 있다. 공간계량모형에서는 공간오차모형(SEM)과 일반공간모형(SAC)이 공간자기회귀모형(SAR) 보다 우수한 설명력을 보이고 있다.

• 교육시설 논문지
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• 제21권3호
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• pp.29-36
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• 2014

Properties of school foundation are divided into fundamental property for education and fundamental property for profit. As school sites and teachers used for educational and study activities of students, fundamental property for education includes practice sites, farms and support research attached facilities in addition to school facilities. According to the Clause 1 of Article 4 of the University Foundation and Management Regulation and the Attached Table 2 of the Same Regulation, dormitory is classified as property for education(non-profit). In other words, there is no need to create profit for dormitory management. It is supposed that there are little regional differences in construction cost of dormitory with general specifications. In this case, boarding fees of university dormitories should make no difference. This study analyzed boarding fees, depending on regional factors(Seoul, Gyeonggi-do, metropolitan cities and provinces), and depending on foundation subjects(national public university and private university), classes(four-year university and college) and principal schools-branch schools. The result of One-Way ANOVA showed that Seoul showed the highest average boarding fee and it was followed by Gyeonggi-do, metropolitan cities and provinces. Also, the average boarding fees of private universities and four-year universities were higher than national public universities and than colleges, respectively. In addition, branch school's boarding fee was higher than principal school's. Additionally, this study extracted a model using the hedonic model to see how various characteristics such as region, foundation subject and class influence the boarding fee. This study would serve as fundamental research on the boarding fee. Thus far, there have been difficulties in obtaining accurate data and analyzing boarding fees, since there is no open data about dormitories and it isn't mandatory to open it, but it is anticipated that this would be used as fundamental research for estimating and analyzing boarding fees of many universities in the future.

• 한국경제지리학회지
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• 제25권1호
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• pp.183-201
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• 2022

주택가격을 정확히 추정하기 위한 많은 연구가 진행되어 왔다. 선행연구들은 주택의 고유 특성과 인근 지역 특성을 통제하는 계량경제모형을 활용한 분석이 많았다. 본 연구에서는 인공신경망 모형(ANN)을 활용하여 주택가격을 추정하였다. 딥러닝 기술의 장점은 변수 간의 복잡하고 비선형적인 특성을 모델링하고 데이터의 패턴을 인식할 수 있다는 것이다. 본 연구에서는 부동산 시장에서 공간적 분포도 패턴으로 인식할 수 있다는 가정하에 지리좌표를 설명변수로 ANN에 투입하였다. 선형회귀분석과 ANN 모형 간 비교 결과, 선형 모형 대비 ANN 모형의 설명력이 높았으며, 특히 ANN 모형은 지리좌표를 투입하였을 때 더 높은 정확도를 보여주었다. 또한 ANN 모형의 경우 지리좌표를 통해 모형 잔차의 공간적 자기 상관성이 크게 감소하였다는 점을 확인하였다. 이를 통해 ANN 모형의 패턴인식 능력을 활용하면 공간적 패턴을 학습시킴으로써 주택가격을 정확히 추정할 수 있음을 밝혔다.

• Asia pacific journal of information systems
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• 제22권3호
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• pp.29-52
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• 2012

As sustainability has grown into a key global issue, more and more information technology (IT) products have adopted these concepts to attract consumers. However, these products potentially require consumers' physical or economic sacrifice at least for a short period of time. Therefore, the reason of consumers' adoption of sustainable IT products cannot be fully explained by the two traditional values: hedonic and utility values. However, expectancy-value theory, which has been used to explain the relationship between value and behavior, still takes hedonic value and utility value into consideration. The purpose of this study is to suggest an amended expectancy-value theory to better explain the adoption of IT products that consider sustainability. For this purpose, two social values-the normative value based on the Schwartz's model of moral norm and the eudemonic value of the Stoic philosophy-were added to the individual values to examine which value particularly influences the adoption of sustainable IT products. In addition, the moderating effect of perceived sustainability between four values and adoption of sustainable IT products was verified.

• 한국의류학회지
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• 제37권6호
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• pp.772-785
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• 2013

This study investigated the effects of fashion consumer's browsing motives and risk perception on impulse buying and purchase intention in social commerce. The online survey results of 317 customers who experienced using fashion products via social commerce were used for the final analysis. Exploratory factor analysis, reliability analysis, and frequency analysis were conducted using SPSS 18.0, and confirmatory factor analysis and path analysis were performed with AMOS 18.0. Three browsing motives (hedonic motive, rational motive, and informational motive) and three risk perceptions (products-related risk, customer service risk, and opportunity loss risk) were identified. The results from the structure equation model were as follows. 1) It was deducted that the browsing motive did not have a significant effect on risk perception due to the rejection of most of the hypotheses in regards to the browsing motive influence on risk perception. 2) Product-related risk and customer service risk had a significantly negative effect on purchase intention. Opportunity loss risk had significantly positive effect on impulse buying and purchase intention. 3) Hedonic browsing motive had a significant effect on impulse buying, and rational motive had a significant effect on impulse buying and purchase intention. The informational browsing motive had a significant effect only on purchase intention.

• The Journal of Asian Finance, Economics and Business
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• 제7권12호
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• pp.711-720
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• 2020

This research aims to analyze the factors affecting the acceptance of social commerce, including performance expectancy, effort expectancy, social support, facilitating conditions, hedonic motivation, habitability, price saving orientation, and privacy concerns using the Unified Theory of Acceptance and Use of Technology (UTAUT2). UTAUT2 has been examined and modified in various contexts. The research model studies the acceptance and use of technology in the context of customers. This study adopts a quantitative method using the partial least squares regression (PLS) approach involving 244 respondents. The respondents are users of social commerce in Indonesia. The result of this research indicates that social influence, facilitating conditions, hedonic motivation, habit, price value orientation, and privacy concerns have a significant effect on behavioral intention. On the other hand, performance expectancy and effort expectancy does not affect behavioral intention. Furthermore, price value has a significant effect on social commerce user behavior. Lastly, facilitating conditions and habits does not affect social commerce user behavior. This research contributes to the development of theory by examining an additional variable, which is privacy concern. This study is significant since social media and social commerce have grown exponentially nowadays. Implications of the results for the development of the theory (UTAUT2) and practice are discussed in the article.

• The Journal of Asian Finance, Economics and Business
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• 제7권6호
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• pp.517-524
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• 2020

The study examines factors affecting apartment prices in the real estate market of Ho Chi Minh City, Vietnam. The study uses primary data based on surveys of customers who have traded successfully, and collects transaction data from real estate trading companies that are the top investors in Ho Chi Minh City real estate market. The collected data include 384 observations in a total of 24 districts, detailing that each district surveyed on a minimum of four projects, each project carried out a survey on a minimum of four apartments. The survey collected 339 valid questionnaires for analysis and model testing. This study employs multivariate regression with the data of 339 observations. The research results reveal that five significant factors affect positively the price of apartments in Ho Chi Minh City - apartment area, toilet and bedroom, apartment floor, reference price, and apartment interior. Besides, there are three significant factors affecting negatively the price of apartments - next price trend, distance to city center, and potential building. From the results, the research proposes solutions in the pricing of apartments in the real estate market in Ho Chi Minh City - better information system, a real estate transaction index, and stricter management of small brokerage activities.

• 경영과학
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• 제32권4호
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• pp.135-153
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• 2015

In this paper, we intend to understand distinguishable SNS technology contributions for B2C commerce. In order to theorize this, we draw upon Technology-to-Performance chain (TPC) theory to develop the model that could explain how the technology value of the SNS could be realizable. For the purpose of capturing SNS technology effect to B2C channel effectiveness, on the basis of TPC theory, personal productivity is selected as a performance variable instead of satisfaction from SNS usage. Accordingly, as the antecedents of personal productivity, two variables of locatability and timeliness are extracted to reflect Task-technology-fit (TTF) dimension of performance precursors. For the utilization dimension of TPC framework, convenience and recreation tendency of the personal traits in shopping are included as the precursors of SNS utilization in the sense of reflecting utilitarian and hedonic value of SNS adoption. Empirical validation is conducted with reference to promotion and sales event on Facebook, which is chosen as the typical SNS based B2C commerce scenario. The data analysis result provide useful insights to further investigate the firm's SNS usage potentials for business applications.