• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.6
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• pp.621-634
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• 2011

This study analyzed the influencing factors on consumer purchase deferrals for internet clothing shopping. In addition, based on consumer demographics, it compared the differences of purchase deferrals with respect to clothing items, prices, and types of shopping malls. For an empirical study, 405 questionnaires were answered by respondents in their 20s and 30s with internet clothing purchase deferral experience. Data were analyzed using: SPSS for Windows 12.0 and descriptive statistics, reliability analysis, factor analysis, $X^2$-test, and regression analysis. The results of this study were as follows. First, the order of items with many purchase deferrals in internet clothing shopping were casual T-shirt>casual skirts>pants, one-piece>suits>sportswear>blouse/shirts and 58.3% of purchase deferrals happened when the price was below \50,000. Second, the significant differences in products, prices, and shopping malls for purchase deferrals were identified according to consumer demographics. There were significant differences in clothing items according to gender, age, marriage, and education; however, there were significant differences only according to gender in terms of price. There were significant differences according to gender, age, marriage, education, and income in terms of the used shopping malls. Third, for the analysis of the influence of diverse factors that can affect purchase deferrals for internet clothing shopping, the more information search, purchase deferral habits, perceived risks, and deficiency in shopping mall supply conditions were when higher purchase deferrals occurred. For a strong competitive online market, this study can help internet clothing shopping mall entrepreneurs manage products and customers by analyzing the lists of purchase deferrals indicated in "cart" and by administrating the influential factors for purchase deferral.

• Korean Journal of Agricultural Science
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• v.32 no.2
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• pp.151-167
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• 2005

In this study, certain factors influencing cherry tomato were estimated using system equations. In addition, the amount of influence to income from each factor was estimated from both direct and indirect effects. Based on OLS(Ordinary Least Squares) estimation, path analysis and factor analysis were employed to overcome multicollinearity problems. Data used in this study is interviewed cross sectional data of 65 cherry tomato producing farm in Chungnam-do area. Average age of the producers is 46.5. Average year of the production is 8 years. Average farm size, productivity, and income are 1,123 pyong, 7,439kg/10a, 8,112,000won/10a, respectively. The business performance of the sample farms were above average, in terms of the diagnosis by "Standard Business Diagnosis for Cherry tomato". To identify the factors influencing productivity, 15, 19, and 25 independent variables were selected for the dependent variables of yield, price(quality), and business cost, respectively. Finally, yield, quality, and business cost variables were set as independent variables to explain income as dependent variable. As a result of main factor analysis, 10, 12, 15, and 16 factors were identified as main factors for yield, quality, business cost, and income, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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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.

• Journal of the Korean Society of Costume
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• v.60 no.2
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• pp.114-129
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• 2010

The purpose of this study were to identify shopping orientation for fashion outlet consumers and its significance in influencing brand loyalty and shopping satisfaction. This study will propose results which help to better understand shopping orientation of fashion outlet consumers. A questionnaire was administered to 326 20s male and female living in Daegu Gyeongbuk during October of 2008. Data were analyzed by using Factor analysis, Reliability analysis, t-test and Regression analysis. The results of the research are as follows: First, The shopping orientation could be into 5 dimensions: pleasure tendency, fashion tendency, name brand tendency, prudence buying tendency, economic tendency. Brand loyalty were factor analyzed resulting three factors such as brand loyalty, brand care and brand knowledge. Brand loyalty factors of brand loyalty and brand knowledge had a positive effect on fashion tendency, name brand tendency. Brand care has a positive effect on name brand tendency and economic tendency. Second, Shopping satisfaction were factor analyzed resulting five factors such as product, store atmosphere, service store reputation, location convenience and price. Outlet product had a positive effect on fashion tendency, name brand tendency, prudence buying tendency and while all other factors showed a positive effect on preferences to follow trends. However, outlet price had a positive effect on only those consumers possessing a economic tendency.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.770-785
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• 1998

This study describes the relation of physician's income and price of medical service and social welfare through microeconomic view, reviews the literature of influencing factor on physician's income, and it describes general distribution of physician's income, and analyzes influencing factor of physician's income. A total of 844 persons responded to the mail survey, through stratified sampling by 23 branches of medical society in Korean RBRVS study. The design of the study is cross sectional study, and the unit of analysis is a physician. To examine the change of average income per month, multiple regression was used to test the change according to physician's characteristics, demographic characteristics, scale of clinic, average intensity of ordinary work, and specialty. The major findings of this study are as follows; 1. As for self-employed physicians, the difference of average income per month among specialties was mcreased \4,850,000, but the difference was \6,020,000 under the control of control variables. 2. The number of average out-patients per month and number of nurses and nursing aides significantly positively associated, and average income per month was significantly higher for physicians who had sick-beds than physicians who had no sick-beds. In conclusion, the number of out-patient and number of nurses and nursing aides is the major influencing factor, and the difference of average income per month among specialties existed in self-employed physicians. So this study suggests basic hypothesis that the price of medical service and supply of physician by specialties are not pertinent. Being a cross-sectional study, this study can not suggest causal explanations. In the future, further study is needed for causal explanations.

• International Area Studies Review
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• v.15 no.1
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• pp.219-240
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• 2011

The main purpose of this study is to analyze the effects of stock price and real estate price on the money demand. We investigated the demand for money for 25 money units of 10 countries. To estimate the money demand functions, Johansen's cointegration and ARDL-bounds test were employed. Additionally, Stock and Watson's DOLS method was applied to estimate long-run cointegration vectors. According to the results of cointegration test, stock price and real estate price are crucial in the long-run equilibrium relationship. There were no cointegration relationships among money demand, real income, interest rate, and exchange rate in 12 money unit models. However, by including stock price and real estate price on the tested models, we could find strong cointegration relationships, using ARDL-bounds test. The results of DOLS confirm that stock price and real estate price are effective factors influencing on money demands. Especially, the coefficient of real estate price is statistically significant in the 19 out of 20 money unit models. However, the direction and magnitude of coefficients of asset prices are different across countries and money units.

• Asia Pacific Journal of Business Review
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• v.1 no.1
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• pp.1-22
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• 2016

The prediction of prices of agricultural products in the agriculture IT sector plays a significant role in the economic life of consumers and anyone engaged in agricultural business, and as these prices fluctuate more often than do other prices, the prediction of these prices holds a great deal of research promise. For this reason, academic literature has provided studies on the factors influencing the prices of agricultural products and the price index. However, as these factors vary, they are difficult to predict, resulting in the challenge of acquiring quantitative data. China is one example of a country without a reliable prediction system for prices of agricultural products. Fortunately, disclosed heterogeneous data can be found on the Internet, which allows for the effective collection of factors related to the prediction of these product prices through the use of text mining. The data provided online is valuable in that they reflect the opinions of the general public in real-time. Accordingly, this study aims to use heterogeneous data from the Internet and suggest a model predicting the prices of agricultural products before functional analyses. Toward this end, data analyses were conducted on the Chinese agricultural products market, one of the largest markets in the world.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.190-200
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• 2008

The purposes of this study were to identify brand equity factors influencing brand preference and to investigate the effects of preference and other factors on brand performance of domestic and imported fashion accessary(handbag, shoes, purse, etc.) brands. A total of 300 women aged between 20 and 49 years were surveyed during the month of September, 2006, on 2 domestic brands and 2 imported brands that were well-known to consumers. The data were analyzed with factorial analysis, multiple regression analysis, ANOVA, Cronbach's ${\alpha}$, etc., using the SPSS 10.0. The result of research showed: 1) Four factors of brand equity were identified: quality, awareness, image, and trust. 2) Quality, awareness, price acceptability, distribution proximity, and brand performance of the domestic brands were higher than those of the imported brands. But brand preference of the imported brands was higher than that of the domestic brands. 3) Brand preference of the domestic brands was affected by quality, awareness, image, and trust. And brand performance of the domestic brands was affected by appropriateness, brand preference, and distribution proximity. 4) Brand preference of the imported brands was affected by image, quality, awareness, and trust. And brand performance of the imported brands was affected by price acceptability, appropriateness, and distribution proximity.

• Korean Journal of Construction Engineering and Management
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• v.18 no.6
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• pp.47-56
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• 2017

As of 2017, there are 848 million households living in apartment and 55.87% of Aged apartments over 15 years old. The allowable standard for remodeling the apartment is more than 15 years and the market for remodeling the apartment will continue to increase. For the success of the remodeling project feasibility analysis is important but the existing feasibility analysis of new construction and reconstruction is being used for remodeling feasibility analysis. Therefore, it is necessary to study the feasibility analysis of customized remodeling without increasing the number of households according to the building law. Purpose of this paper is to develop a feasibility analysis methodology for customized remodeling projects by deriving the factors affecting the formation of land prices and building prices in apartment. According to the concept of price formation of the apartment, the analysis method of the customized remodeling of the old apartment using the factors affecting the Land Price Indexes, Officially Assessed Individual Land Price, House Price Indexes, and Officially Assessed Individual House Price was suggested. The Stair Price Algorithm developed in this research can be utilized at the stage of selecting remodeling contractors after the remodeling housing association is established.

• Korea Real Estate Review
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• v.28 no.1
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• pp.115-130
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• 2018

This study investigated the factors influencing the termination of the JooTeakYeonKeum contract according to its rate increase, and aimed to identify the differences in the factors affecting the cancellation of the contract according to the collateralized house price range. The results showed that the higher the cumulative increase rate of the mortgage housing price at the time of subscription is, the higher the monthly payment, the larger the gap between the monthly payment and the minimal living expenses for aging, the lower the net population moving rate in the previous month, and the lower the cumulative mortgage. Moreover, the JooTeakYeonKeum contract is terminated. The factors affecting the termination of the contract are different in each interval of the price range of the mortgage housing. To confirm this, a mortgage price range model was constructed and analyzed. The results showed that 60% of the elderly participants in the JooTeakYeonKeum program subscribed thereto with a below-average subsidized housing price. It was confirmed that the factors affecting the termination of the contract differ by price range. Lowering the risk of increasing the JooTeakYeonKeum termination rate will be a significant way of boosting the welfare of elderly people aged 65 and older, and of easing the impact of population aging.