• Journal of Consumption Culture
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• v.15 no.3
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• pp.67-90
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• 2012

When consumers choose healthy foods, they base their buying decisions on health-related food labeling and quality assessment of taste, health, and price. Moreover, both purchase experience and opinions of family and friends affect consumer choices. Focusing on these points, this study examined the effects of health-related food labeling on consumer choices by adding two variables-quality assessment of taste, health, and price and purchase experience-to the model of the theory of planned behavior. We also used structural equation modeling to test our hypotheses. In the study, health-related food labeling includes organic labeling, nutrient claims, and food additive labeling. We conducted a mail survey among 300 married women who buy cheese slices for their children more than once a month. It was discovered that health-related food labeling positively affected the level of quality assessment of taste, health, and price, and consequently led to positive attitudes and purchase intentions. Particularly, health-related food labeling positively influenced attitude toward using products without assessing the quality of taste, health, and price. The level of quality assessment of price positively affected attitude toward using and purchasing products, and purchase experience positively affected attitude toward using and purchasing products, and purchase intentions. The relationship between attitude to purchasing products and purchase intentions was the most positive, and the relationship between perceived behavioral control and purchase intentions was not significant. Overall, this study essentially contributes to the development of a theoretical framework of food labeling and consumer choices, which includes quality assessment of taste, health, and price and purchase experience, by using the theory of planned behavior.

• Asia Marketing Journal
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• v.8 no.1
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• pp.1-17
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• 2006

A couple of previous studies have warned against the use of homogeneous choice models in assessing the effect of reference price since unaccounted for response heterogeneity may result in spurious reference price effects(Chang, Siddarth and Weinberg 1999; Bell and Lattin 2000). According to Meyer and Kahn(1991), not accounting for consideration set heterogeneity may also bias the effect parameters in the choice model. Therefore, failure to account for these two sources of bias, in fact, have cast doubt on the empirical support for reference price effects in general. In view of aforementioned potential sources of bias, the author investigates the robustness of loss aversion effect in the reference-dependent model after accounting for heterogeneity in response as well as consideration set. The proposed model defines individual household's consideration set based on the posterior distribution of preference obtained from the Empirical Bayes approach. In addition, the same posterior distribution is used to form household-specific reference prices. Response heterogeneity correction is carried out via the Latent Class approach. The proposed model outperforms the Reference-Dependent model that includes the reference price measure most often employed in the previous studies. This implies that as a way of simplifying decision task, consumers restrict their consideration set to a subset of available brands not only in making a brand choice but also in forming reference prices.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.36 no.5
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• pp.927-936
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• 2016

This research aims to analyze the effect of different types of urban parks and their locational characteristics on the apartment price in the entire metropolitan area of Busan, Korea. Although an urban park is an environmental good that influences the surroundings in many ways, most of the previous studies have underestimated its impact on the value of the surrounding area. This research focuses on the economic value of urban parks by understanding their relationship with the value of the apartments in the surrounding area with its significance in their physical and objective characteristics. Furthermore, the research emphasizes the different typological characteristics of urban parks in the analysis. In summary of the result, the number of levels (stories) and units of the apartment complex, ranking of the contractor, age of a park and accessibility to sub-central are positively related to the price of apartment units. On the other hand, the total area of apartment complex, the age of apartments, the distance to the nearest park and accessibility to civic-central or regional district are negatively related to the price of apartment units. Having a plan for constructing a park is also positively related to the price. For the typological characters of a park, neighborhood park, small-sized park, and sports park are positively related to the price, while children's park is negatively related to the price of apartment units. Considering that the price increases as the distance to the nearest park decreases, people prefer to live near the benefits that urban parks provide. In order to maximize the value and benefits that parks provide, it is necessary to approach them creatively.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.7
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• pp.1066-1077
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• 2002

The Purposes of this study were 1) to identify the effects of clothing involvement on deal Proneness, store images related to promotions and perceived shopping value, and 2) to reveal the effects of antecedent variables on the consumer satisfaction. The data were collected from 624 female consumers living in Seoul, Korea via self-administered questionnaires and were analyzed by frequency, factor analysis, multiple regression analysis and path analysis. The results of the study were as follows : (1) Among the factors related to clothing involvement deal proneness, store images of promotions and perceived shopping values, Clothing importance, Shopping interest Fashion interest and all three factors of deal proneness had the effect on perceived hedonic shopping values. Clothing importance, Prudent purchase, Shopping interest store images related to promotions had the effects on perceived hedonic shopping values. And Prudent purchase had the positive effects and store images related to Display had the negative effects on perceived negative shopping values. (2) From the resulted of analyzing the effects of antecedent variables on consumer satisfaction, Sweepstakes/gifts proneness, store images related to Price discount/events and Display, perceived hedonic and utilitarian shopping values positive]y influenced the consumer satisfaction. Store images related to Price discount/events had the most significant effects on consumer satisfaction. From the results of path analysis, clothing involvement had the effects on consumer satisfaction indirectly through deal proneness, store images related to promotions and perceived shopping values.

• Korea Real Estate Review
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• v.28 no.1
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• pp.79-90
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• 2018

The purpose of this study was to estimate the pricing factors of residential lands in new cities by estimating the pricing model of residential lands. For this purpose, hedonic equations for each quantile of the conditional distribution of land prices were estimated using quantile regression methods and the sale price date of Jangyu New Town in Gimhae. In this study, a quantile regression method that models the relation between a set of explanatory variables and each quantile of land price was adopted. As a result, the differences in the effects of the characteristics by price quantile were confirmed. The number of years that elapsed after the completion of land construction is the quadratic effect in the model because its impact may give rise to a non-linear price pattern. Age appears to decrease the price until certain years after the construction, and increases the price afterward. In the estimation of the quantile regression, land age appears to have a statistically significant impact on land price at the traditional level, and the turning point appears to be shorter for the low quantiles than for the higher quantiles. The positive effects of the use of land for commercial and residential purposes were found to be the biggest. Land demand is preferred if there are more than two roads on the ground. In this case, the amount of sunshine will improve. It appears that the shape of a square wave is preferred to a free-looking land. This is because the square land is favorable for development. The variables of the land used for commercial and residential purposes have a greater impact on low-priced residential lands. This is because such lands tend to be mostly used for rental housing and have different characteristics from residential houses. Residential land prices have different characteristics depending on the price level, and it is necessary to consider this in the evaluation of the collateral value and the drafting of real estate policy.

• The Journal of Fisheries Business Administration
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• v.29 no.2
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• pp.143-161
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• 1998

The objective of this study is to analyze the effects of increase in the oyster hatchery on fishermen's income. The results of the analysis are as follows : \circled1 The necessary quantities of oyster seed are 18,000 thousand hanging line. The 29.4%, of that has been applied by ana-seed collection and 29.1% of that has been applied by proseed collection. The demage of oyster aquaculture business is estimated about 35 billion won or 83 billion won. \circled2 The production cost per hanging line of the oyster hatchery is 1,974 won. And if it is sold by 2,500 won, return on investment will be 31.9%. Therefore profitability of the oyster hatchery is very good. \circled3 There are four important determinant variables of profitability to the oyster hatchery. In the order of their effects, it is operation number, seed price, production cost, and quantity of production. \circled4 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. \circled5 The necessarily quantities of the oyster hatchery are estimated 160 units in the scale of 10,000 hanging line production to one operation. \circled6 The effect of increasing income of fishermen are estimated about 85.3 billion won or 124.5 billion won from increase in the oyster hatchery.

• Journal of Fashion Business
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• v.16 no.1
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• pp.137-149
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• 2012

The purpose of this study was to identify the factor structure of sociocultural attitude toward Appearance, pursuit of clothing benefits, ambivalent consumption of fashion product and the effects of sociocultural attitude toward appearance and pursuit of clothing benefits on ambivalent consumption of fashion product. Questionnaires were administered to 425 women living in Deagu Metropolitan City and Kyungbook province. The data collected were analyzed by using frequency, factor analysis, multiple regression, ANOVA, and Duncan-test. The findings are as follows. Sociocultural attitude toward appearance was composed of two factors such as internalization, and awareness. Pursuit of clothing benefits was composed of four factors such as individuality oriented, social oriented, fashion leadership oriented, and body oriented. Ambivalent consumption of fashion product was composed of three factors such as style/price ambivalence, place of purchase ambivalence, and brand ambivalence. The effects of sociocultural attitude toward Appearance and pursuit of clothing benefits on each of ambivalent consumption of fashion product variables like style/price ambivalence, place of purchase ambivalence, and brand ambivalence were explained by the factors such as internalization, and awareness, and individuality oriented, social oriented, fashion leadership oriented, and body oriented.

• Journal of the Korean Institute of Gas
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• v.20 no.6
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• pp.102-114
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• 2016

Due to the Paris Agreement, city gas is drawing attention as an alternative energy source to reduce greenhouse gases. This study conducts a comparative analysis on the economic effects of city gas between Korea and Japan, using input-output(I-O) tables from the Bank of Korea and from Japan's Ministry of Economy, Trade and Industry. The results show that production-inducing, value-added-inducing and employment-inducing effects of Korea's city gas were greater than those in Japan. But supply-shortage and price-pervasive effects of Korea's city gas were also greater than those in Japan. According to these results, production-inducing, value-added-inducing and employment-inducing effects should be sustained, and the policies vitalizing stabilizing supply-shortage and price-change effects, on the other hand, are recommended.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.367-382
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• 2009

The aim of the current study was to investigate the impact of store attribute satisfaction on intentions of revisit and recommendation among clothing consumers. The data were collected from 319 consumers through survey and frequency analysis, reliability analysis, factor analysis, and multiple regression analysis were used to obtain results. The findings were as follows: 1. From factor analysis, seven factors were distracted: Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 4(transportation convenience and access), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service). 2. Four factors had statistically significant influence on overall satisfaction of clothing consumers. The most influential factor was Fact 2(store's facility and environment) and Fact 5(selling and advertisement), Fact 1(brand and price), and Fact 4(transportation convenience and access) showed their effects on overall satisfaction in an hierarchical rank-order following Fact 2. 3. Four factors such as Fact 2(store's facility and environment), Fact 1(brand and price), Fact 4(transportation convenience and access) and Fact 5(selling and advertisement) in an hierarchical rank-order from Fact 1 had statistically significant impact on intentions of revisit. 4. Six factors such as Fact 1(brand and price), Fact 2(store's facility and environment), Fact 3(product), Fact 5(selling and advertisement), Fact 6(store's atmosphere), and Fact 7(salesman's service) in an hierarchical rank-order from Fact 1 had statistically significant influence on the intention of recommendation. 5. The results further showed that among seven factors, Fact 1(brand and price), 'Fact 2(store's facility and environment), and Fact 5(selling and advertisement) had impact on both the intention of revisit and the intention of recommendation.