• Journal of the Korean association of regional geographers
• /
• v.9 no.3
• /
• pp.329-348
• /
• 2003

This paper has examined the origin of organic fanning, its development stages, its certification program, and its distributional characteristics in South Korea. Organic agriculture in South Korea originated in the late 1970s as several organic farmers' associations started to be formed. However, the certification of organic farm products, based upon the Codex guideline on organic produce as well as the FAO/WHO find standards, was not institutionalized with the year 2001. A majority of organic products are currently certified as farm products grown with low chemical input. Vegetables grown without any chemical input occupy the largest proportion of the certified produce, while fruits take the smallest. The average size of farms practicing organic agriculture is 0.88 hectare, smaller than the scale of conventional farms being 1.39 hectare. These organic farms are concentrated in Gyeonggi, Chungcheongbuk, and Jeju Province, where organic farmers' associations were first founded. The roles of those associations not only in developing and extending organic farming techniques but also in promoting organic agriculture to consumers were most critical in the regional development of organic farming. It would be desirable for local governments to promote organic farming in tandem with a whole environmental movement.

• Journal of the Korea Furniture Society
• /
• v.18 no.3
• /
• pp.211-223
• /
• 2007

21 Century is said the age of cultural industry. In this cultural Industry one of very important factors which guides this times is the exploitation of cultural goods, which is based on regional identity. Therefore, at this point of time when its weighty has been raised, the aim of this study is to fill the image Korean tradition and modernity culture in them, through the search on their characteristics among regions and nations, desk the cultural service goods which gets survival power of traditional and cultural identity. Nine existing Hahoe masks are changed into nine new cultural items, which are presented the nine dreams of Hahoe masks. As consumer's choice is diversified by a set of products, main concept in this study is the focus on modernity, rationality, traditionality and popularity. The main concept of this study is on rational functions and convenience, the harmony of tradition and modernity. As said above, in the process of manufacture the mass production of goods is stressed, and by getting the composition and making a set of goods, the choice of consumers will be extended. Getting ideal globalization by the coexistence of tradition and modernity on goods, is very important. Consequently, cultural goods must be recognized as a factor of its medium, and also, on domestic cultural goods people's interest must be risen all the more.

• Journal of the Korea Institute of Building Construction
• /
• v.8 no.1
• /
• pp.77-82
• /
• 2008

In the housing market, the construction company started to recognize the importance of the brand power since 1998. Many brand names of apartment construction company have newly formed and many apartments are representative of the brands of construction company by quality of apartment construction and service after hand apartment over to owner with many other elements of their brands. According to these trends in the housing market, it should be also interested in improving the value of brand name in apartment construction. The former researches have been achieved several topics in only a specific target market about the distinction of apartment's plan, the examination of preference, and the satisfaction survey of inhabitants etc. But construction company don't have developed any available marketing strategy according to construction location and regional characteristics. Nowadays, they should be interested in improving the value of apartment brand. Therefore, this research was conducted by interviewing and surveying preference factor, which factors are considered by consumer when consumers purchase apartment house, to compare the two regions such as Metropolis and Cities. The purpose of this research is to provide the preference trend of apartment house in the future to construction company by comparing consumer's preference examination.

• Korean Journal of Human Ecology
• /
• v.20 no.6
• /
• pp.1153-1165
• /
• 2011

Decision making for gas boiler consumers depends on the characteristics of products such as the price and quality as well as the brand image. Although a gas boiler is a high involvement product in terms of price, in fact, it is a low involvement product which is greatly affected by installers. This study examined variables which affect the level of satisfaction and repurchase intention by surveying about 1,000 housewives through an on-line questionnaire. The results were as follows: first, gas boiler users' general knowledge of gas boilers showed a correct-answer rate of 54.5%. The average satisfaction score of product quality (mean=5.61 out of 7) was higher than that of the satisfactionscore of the company's service (mean=5.46). Second, the level of repurchase intention was above the mid-point (mean=4.72). Multivariate regression found that product satisfaction, service satisfaction, household size, and information sources explained repurchase intentions for gas boilers to be about 50.7%. Gas boiler marketers should pay attention to the survey result in that the level of repurchase intention depends mainly on both consumer satisfaction and information sources.

• Journal of Multimedia Information System
• /
• v.5 no.3
• /
• pp.195-200
• /
• 2018

Recently, as the sensor and big data analysis technology have been developed, there have been a lot of researches that analyze the purchase-related data such as the trajectory information and the stay time. Such purchase-related data is usefully used for the purchase pattern prediction and the purchase time prediction. Because it is difficult to find periodic patterns in large-scale human data, it is necessary to look at actual data sets, find various feature patterns, and then apply a machine learning algorithm appropriate to the pattern and purpose. Although existing papers have been used to analyze data using various machine learning methods, there is a lack of statistical analysis such as finding feature patterns before applying the machine learning algorithm. Therefore, we analyze the purchasing data of Songjeong Maeil Market, which is a data gathering place, and finds some characteristic patterns through statistical data analysis. Based on the results of 1, we derive meaningful conclusions by applying the machine learning algorithm and present future research directions. Through the data analysis, it was confirmed that the number of visits was different according to the regional characteristics around Songjeong Maeil Market, and the distribution of time spent by consumers could be grasped.

• Journal of the Korean Home Economics Association
• /
• v.35 no.1
• /
• pp.357-372
• /
• 1997

The purpose of this study was to 1) segment female adolescent consumers into consumer groups displaying different consumer decision-making styles 2) to determine the consumer characteristics(clothing involvement information search store patronage and demographic variables) that related to each consumer segment and 3) to identify the interrelationship between the consumer characteristics. Decision-making styles were measured by 32 seven-point Likert type scales adapted from Sproles & Kendall and Shim & Kot A total of 78 statements dealing with three aspects of consumer characteristics was adapted from previous research. Data were collected from 567 2nd grade female middle and high school students in Seoul via self-administered questionnaires. and were analysed by frequency factor analysis ANOVA cluster analysis χ2 -test and Duncan's multiple range test. The results of this study were as follows: As a results of cluster analysis and ANOVA on seven factors of desion-making styles(1. brand-consiousness 2. novelty/fashion-consciousness 3. recreational/hedonis-tic orientation, 4. impulsive/carelessness, 5. price-consciousness/value-for-money, 6. perfectionism/high quality orientation 7. habitual/brand-royal consciousness) three consumer groups were identified and labeled as puality-oriented/non-utlitarian shoppers price-oriented shoppers and apathetic shoppers. Quality-oriented/non-utilitarian shoppers showed the highest clothing involvement scores of all aspects the highest consumer knowledge/experience most active ongoing information search and prepurchase information search. They preferred department store and franchise store for apparel shopping and considered service/reliability atmosphere variety of goods as important store attributes, Price-oriented shoppers showed prepurchase information search and planned purchase behavior actively. They preferred factory outlet store specialty stre and considered price very important as store attributes. Apathetic shoppers showed the lowest scores of all aspects of clothing involvement and most passive behavior in information search activities except showing the highest planned purchase. They preferred regional markets.

• The Journal of the Korea Contents Association
• /
• v.11 no.4
• /
• pp.177-185
• /
• 2011

Craft industry in Iran in the past to preserve the technology and production methods, or a newly developed in modern technology, techniques, and material that are intended to use in the decorative, practical characteristics, and the general public are using living water district, ornaments, symbols, products, and so on are collectively, craft industry-specific regional environmental, air velocity, ruins, etc. based on the characteristics of the region's traditional or artistic nature to produce products with the industry, the craft inherent in cultural element out of the help of stock, production, distribution and consumption of a series of process, namely the commercialization of the craft. This future-oriented State images for a unique sentiment based on the tradition of craft culture prize of Korea national image to create a decisive role in the would do. Therefore, in this study, consumers of the craft cultural products awareness and marketability to domestic craft industry status and enhance the use of the show. In addition, based on craft culture industry's efficiency and the issue is what the research and improvement.

• Journal of Animal Science and Technology
• /
• v.58 no.9
• /
• pp.35.1-35.10
• /
• 2016

Background: The aim of this work was the comparison between the carcass and the meat ewes of the regional Traditional market and the Islamic religious (Halal) market. Methods: Thirty and 20 at the end of career traditional market and Halal market ewes were slaughtered following the EC (European Council, 2009) animal welfare guidelines. Live weight of ewes was taken and dressing percentage of carcasses was calculated. On every carcass zoometric measurement and the evaluation trough the EU grid rules were performed. On the Musculus longissimus thoracis of 12 Traditional market carcasses and 11 Halal market carcasses the physical-chemical and nutritional analysis were performed. Consumer tests for liking meat ewe were performed in order to find consumer's preference level for Traditional and Halal markets ewe meat. Considering as fixed factor the ewe meat market (Traditional and Halal), results were submitted to oneway Analysis of Variance (ANOVA) and to Principal Component Analysis (PCA). Results: The Halal market ewes have shown lower dressing percentages ($42.91{\pm}0.82$ vs $46.42{\pm}0.69$) and lower conformation score ($4.5{\pm}0.5$ vs $7.8{\pm}0.4$). The Halal market meat showed higher cooking loss in oven ($37.83{\pm}1.20$ vs $32.03{\pm}1.15%$), lesser Chroma value ($18.63{\pm}0.70$ vs $21.84{\pm}0.67$), and lesser Hue angle value ($0.26{\pm}0.02$ vs $0.34{\pm}0.02$). This product had also lower fat percentage ($4.2{\pm}0.4$ vs $7.09{\pm}0.4$). The traditional market meat had higher percentage in monounsatured fatty acids (MUFA) ($43.84{\pm}1.05$ vs $38.22{\pm}1.10$), while the Halal market meat had higher percentage in ${\omega}3$ poliunsatured fatty acids (PUFA) ($5.04{\pm}0.42$ vs $3.60{\pm}0.40$). The consumer test showed as the ewe meat was appreciate by the consumers. Conclusions: Both meat typologies have shown good nutritional characteristics. The traditional market meat had higher MUFA composition, and a better MUFA/satured fatty acids (SFA) ratio, while the Halal market meat had higher PUFA composition. These results were also supported by the PCA. The consumers preferred the traditional market meat.

• Journal of the Korean association of regional geographers
• /
• v.9 no.2
• /
• pp.217-231
• /
• 2003

The purpose of this study is to examine the characteristics of advertizing maps which were presented in one of the major daily newspapers(JoongAng Ilbo) from 1966 to 2000. The use of advertizing maps has been gradually increased year by year. Advertizing maps have appeared much frequently in spring and fall seasons, in October, and on Saturday and Wednesday. The predominance of such seasons, month, days is related to the real estate advertizement. The important categories which have been presented frequently are real estate for sale(62%), clothing sale(7%) and the image advertizement of big corporations(3%). Locator maps are preferred in the first two categories and background maps are usually used in the corporation advertizement. The symbols in the maps are different according to the custom, interest and the preference of map-producers and clients. The basic symbols for the good map, which are required in the general cartography, are scarcely shown in the advertizing maps. That is because the goal of advertizement is to appeal visually to consumers, therefore, the creativity of map-producer and the attraction of maps to draw the reader's interest are much required in the advertizing maps. It is concluded that the advertizing maps have their own values in themselves and we have to treat the journalistic cartography as a special field in cartography.

• The Journal of Bigdata
• /
• v.3 no.2
• /
• pp.59-70
• /
• 2018

In order to provide stable district heat supplying service to the certain limited residential area, it is the most important to forecast the short-term future demand more accurately and produce and supply heat in efficient way. However, it is very difficult to develop a universal heat demand forecasting model that can be applied to general situations because the factors affecting the heat consumption are very diverse and the consumption patterns are changed according to individual consumers and regional characteristics. In particular, considering all of the various variables that can affect heat demand does not help improve performance in terms of accuracy and versatility. Therefore, this study aims to develop a demand forecasting model using deep learning based on only limited information that can be acquired in real time. A demand forecasting model was developed by learning the artificial neural network of the Tensorflow using past data consisting only of the outdoor temperature of the area and date as input variables. The performance of the proposed model was evaluated by comparing the accuracy of demand predicted with the previous regression model. The proposed heat demand forecasting model in this research showed that it is possible to enhance the accuracy using only limited variables which can be secured in real time. For the demand forecasting in a certain region, the proposed model can be customized by adding some features which can reflect the regional characteristics.