• Journal of Global Scholars of Marketing Science
• /
• v.15 no.3
• /
• pp.1-30
• /
• 2005

Currently, attentions toward the Chinese market have been growing rapidly. Economical values of China are highly appreciated. The current shift of economical environments in China leads to changes in the way of consumers' consumption. The purpose of this study is to identify the Chinese consumers' brand purchasing behavior according to their lifestyle. Questionnaires developed by researcher were distributed and collected from 118 Chinese consumers living in metropolitan areas of China. In research, five different lifestyles were identified; which are the vogue pursuing group, the social intercourse group, the traditional conservative group, the achievement pursuit group, and the passive stagnated group. These groups differed in the perception of cosmetic prices, purchase motivations, post-acquisitional satisfaction, and their demographics. For example, the vogue pursuing group consumers turned out to consider price as the most important element when they purchase cosmetics, while the social intercourse group valued recommendation from others more. Meanwhile the traditional conservative group and the achievement group each used past experience and attributes as their criterion.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.10 no.3
• /
• pp.127-136
• /
• 2008

The main focus of the study resides in antecedents of price acceptability. Levels of acceptable price may be related to the consumers' perception on reasonable or expected price. Price acceptability is known to have several psychological antecedents. One of the antecedents to price acceptability reported by prior researches is price-quality inference, a tendency to correlate high price to excellence in quality. In addition, price-conscious consumers are likely to show lower level of price acceptability level. Another well-known antecedent is sale proneness. Sales-prone consumers may relate price of apparel products to product quality information. Moreover, it was reported that involved consumers should be more concerned with the products to its price and thus should have higher levels of price acceptability. A conceptual model with price consciousness, sale proneness and product involvement as the exogenous variable, price-quality inference and price acceptability as the endogenous variable was developed for the empirical study. Measures of research variables were developed based on previous studies. Questionuaires from 298 respondents were analyzed for the study. The average age of respondents was 27. About 60% of the respondents were married and about 65% of them had college degrees. Empirical results supported all of the hypothesized relationships. Price consciousness had significant negative influence on price-quality inference and price acceptability. Sale proneness significantly influenced price-quality inference, while apparel involvement had significant impact on price-quality inference and price acceptability. Price-quality affected price acceptability significantly. This study generated a framework to help scholars understand antecedents of price acceptability of apparel products. Price has been shown to playa dual role in consumer's perceptions, either positively or negatively. Price consciousness played a negative role, and product involvement had a positive role in evoking higher level of price acceptability. This study also suggests additional source of positive, yet indirect role of price, sale proneness. This study also affirmed the importance of price-quality inference in arousing higher level of price acceptability.

• The Journal of Korean Academic Society of Nursing Education
• /
• v.15 no.2
• /
• pp.251-259
• /
• 2009

Purpose: Climate change affects human health and calls for a health forecasting service. The purpose of this study was to explore the students' actual use and their satisfaction with meteorological information and the demands on health forecasting at a university in South Kyungsang Province. Method: This study used a descriptive design through structured self-report questionnaires including frequency, contents, purpose, perception, satisfaction of meterological information and need and demand of health forecasting. Data were collected from June 1 to 5, 2009 and analyzed using the SPSS 17.0 program. Descriptive statistics, t-test, ANOVA, $\chi^2$ test and Person's correlation coefficient were used to analyze the data. Result: The majority of the students watched the daily weather information to decide about daily work, outdoor activity or habitually. The mean score of need for health forecasting was $3.44{\pm}.81$, and the demand for health forecasting was $2.93{\pm}1.05$. Significant differences were found in the need for health forecasting according to sex, major, and environmental disease. In addition, the higher the satisfaction of health forecasting, the higher the demand for it. Conclusion: I suggest improving the meteorological information system technically and developing a health forecasting service resulting in a healthier and more comfortable life.

• Journal of Internet Computing and Services
• /
• v.21 no.1
• /
• pp.159-167
• /
• 2020

The Korean government has pursued various policies to revitalize the cloud industry since 2009. In particular, the government enacted the 'Cloud Computing and Privacy Security Act' for the first time in the world in 2015, creating institutions and support programs to boost the cloud industry. As a result, the volume of the cloud industry has increased significantly, and the number of companies and professionals have increased. In this paper, the researches analyzed the situation of Korean cloud market, usage of cloud computing in enterprises, effects and problems of cloud-enabled companies based on the industrial survey conducted from 2016 to 2019, In this study, the results showed concerns of security, uncertainty about cost savings, and IT capabilities of enterprises as problems in revitalizing the cloud industry. The researches also propose strategies, perception changes, and development processes for companies to resolve the problems.

• Korean journal of food and cookery science
• /
• v.31 no.2
• /
• pp.144-152
• /
• 2015

The loquat (Eriobotrya japonica) is a plant belonging to the Rosaceae family, native to south-central China. It is cultivated in relatively warm areas such as Spain, Japan and South Korea. It is used commercially as an ornamental plant and for its yellow fruit, which contains much carotenoid, sugar and a little organic acid. In this study, chiffon cakes were prepared with the addition of 3%, 6%, 9% and 12% loquat fruit powder (LFP) in order to invest the mixing conditions. When more LFP was added to the dough, the pH level of the dough became lower. Specific gravity and viscosity of the dough significantly increased as higher amounts of LFP were added. In baked cakes, the weight and baking loss rate of LFP were not significantly different between samples, and the height of the risen test samples were lower than that of the controls. Moisture content was 33.58% in the 12% LFP sample (12% LFPS), which was the highest of all the samples. With respect to crust color, lightness, redness and, yellowness, these significantly decreased as the amount of LFP was increased, the 12% LFP being the lowest of all the samples. Lightness and yellowness of crumbs significantly decreased as the amount of LFP was increased, whereas redness showed the reverse effect. When looking at hardness and adhesiveness, the 12% LFPS was the highest of all the samples, nevertheless a difference in resilience was not significant among the samples. According to consumer perception, bitterness was significantly increased as amounts of LFP increased, however a difference in salty, astringency and oily tastes were not significant among the samples. The 12% LFPS showed the lowest score with respect to softness and overall acceptability. In conclusion, LFP could be considered a functional material, with the optimum amount of LFP for a chiffon cake of 3~9%.

• International Commerce and Information Review
• /
• v.9 no.2
• /
• pp.19-40
• /
• 2007

In recent, T-commerce is widely dispersed as alternative type of commerce. It is forecasted that t-commerce system is used more than e-commerce system. Therefore more and more t-commerce-related industries are also recognizing that t-commerce is a critical business model. It is needed to understand the concept of t-commerce and develop the t-commerce marketing strategy. CEO analyses consumer's behaviors according to the data about buyers and applies the advantage of t-commerce to the communication with customers. This t-commerce system plays an important role in maximizing customer satisfaction and affecting their intention to reuse it. Therefore this paper attempts to identify T-commerce critical success factors and divide between use-intention group and unuse-intention group by taking out a discriminant function by the discriminant analysis. This lays a foundation in developing T-commerce strategy. According to the discriminant function extracted, convenience factor, amusement factor, system quality factor, product perception factor are significant in the sequence of influential degree. However, usefulness factor and speedy connection factor are not significant. In result, the target hitting rate is 77.9% in the first unuse-intention group and it is 95.2% in the second use-intention group. The total discriminant target hitting rate is computed to higher value, 86.55%. The statistic package, SPSS 12.0, is used to survey and analyse data and test the hypothesis. The validity and reliability of variables are verified by both reliability analysis and factor analysis. The discriminant analysis is used to tell the difference between use-intention group and unuse-intention group.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.14 no.2
• /
• pp.129-136
• /
• 1990

The purpose of the study was to develope brand positioning map for ladies' ready-to-wear, to find out evaluative criteria in perception and preference to brands, and to persent the relationship between consumer's characteristics and brand preference. Subjects were selected for the housewives of middle and high socioeconomic classes living in Seoul area. A questionnaire including items of life style, self image, similarity between brands, preference degree to brands, and demographic variables was developed for the empirical study. The questionnaire was administrated to 137 housewives during fall in 1989. Data were analyzed by cluster analysis and multidimensional scaling method. The study had two research problems. The first research problem was to construct a brand perceptual map for ladies' ready-to-wear brands, selected for the study The perceptual map was constructed on the basis of brand similarity scores by multidimensional scaling method. As a result, brands were grouped into 4 clusters, and evaluative criteria for perceptual map were found to be fashionability (classic- fashionable) and familiarity (familiar-unfamiliar). The second problem was to construct a brand preference map for ladies' ready-to-wear brands, selected for the study. The preference map was constructed on the basis of brand preference scores by multidimensional scaling method. As a result, the brands were grouped into 4 clusters and evaluative critiera for preference map were found to be fashionability (unfashionable-fashionable) and image to age (mature-young directed). Also was shown the relationship among self image, age, socioeconomic class, and brand preference. The multidimensional scaling method was found to be useful as well as valid instrument for brand positioning research and the result can be utilized for establishing strategies for ladies' ready-to-wear brands.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.40 no.4
• /
• pp.600-614
• /
• 2016

This study specifies the definition and characteristics of fake fashion by categorizing cases through an analytical framework that uses the concept of simulacre, which is one of the theories that explains the reproduction of images and symbols in a modern consumer society. The presentation stages of modern fake fashion based on Baudrillard's concept of simulacre are as follows: Stage 1 focuses on the realistic imitation of the original, Stage 2 maintains a similarity with the original while transforming through the distortion of shape or visual perception, Stage 3 is the reality of the original which has become significantly vague and actively involves the designer's creativity, and Stage 4 forms a new value and an independent aura beyond reproducing the original. The presentation techniques of modern fake fashion viewed in the concept of simulacre can be classified into optical illusions by reproduction, use of a fake object, use of unusual shapes, and re-signifying through borrowing. As a result of applying the collected cases to the analytical framework, image reproduction in Stage 1 with imitative nature is a counterfeit that cannot be regarded as fake fashion, and fake fashion in Stage 4 (that can be referred to as simulacre) is fashion with symbolic and multiple meanings with new and creative designs. Modern fake fashion analyzed in the concept of simulacre transforms or reproduces the preexisting original with the purpose of merely creating original designs as well as acts as a new symbolic signal that creates a new aura and sets a trend with a message.

• Journal of the Korea Society of Computer and Information
• /
• v.16 no.8
• /
• pp.137-146
• /
• 2011

In order to support increased consumer awareness regarding energy consumption, we present new ways of monitoring and predicting with energy in electric appliances. The proposed system is a design of a common electrical power outlet called smart plug that measures the amount of current passing through current sensor at 0.5 second. To acquire data for training and testing the proposed neural network, weather parameters used include average temperature of day, min and max temperature, humidity, and sunshine hour as input data, and power consumption as target data from smart plug. Using the experimental data for training, the neural network model based on Back-Propagation algorithm was developed. Multi layer perception network was used for nonlinear mapping between the input and the output data. It was observed that the proposed neural network model can predict the power consumption quite well with correlation coefficient was 0.9965, and prediction mean square error was 0.02033.

• The Research Journal of the Costume Culture
• /
• v.18 no.1
• /
• pp.118-132
• /
• 2010

The purpose of this study is to understand factors of risk perception and purchase obstruction by consumer characteristics and purchase experience of clothing in online. The collection of the research materials was progressed by online and offline. Out of 374 usable questionnaires used for examining this study, 278 questionnaires were collected from offline and 107 questionnaires were collected from online. Frequency analysis, factor analysis, reliability analysis, t-test, One-way ANOVA and multiple regression analysis using SPSS WIN 12.0 were conducted. Three factors of perceived risk were extracted: harmonic/image, quality/shopping process, payments. Based on these dimensions, ANOVA was conducted. The results indicated that the more purchasing experience people had, the less the extent of perceived risk they got, and quality/shopping process risk mostly among them. As the factors which obstruct purchasing decision, a security obstruction, a reliability obstruction, a convenient obstruction and an information insufficient obstruction are extracted. Also, the factors have got the result of same aspects as the perceived risk recognized by the Internet shopping experience. Meaningful differences between groups appear at security obstruction, reliability obstruction, and convenient obstruction. Perceived risk almost influenced on purchase obstruction when purchasing clothes in Internet shopping mall. When consumers perceiving harmony/image risk highly make decisions, they usually hesitate or abandon due to reliability obstruction, convenient obstruction. All the factors: including security obstruction, reliability obstruction, convenient obstruction and information insufficient obstruction made consumers perceiving quality/shopping process risk highly obstruct purchase decision.