• Journal of Distribution Science
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• v.15 no.3
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• pp.73-80
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• 2017

Purpose - Since Korean distribution market was opened, the domestic environment in department stores has been changed by the pattern of consumption and consumer need based on income classes. As multilateral Free Trade Agreement (FTA) accelerates opening markets, the scale of circulating capital has become bigger. Large-scale commercial facilities have developed quickly as a form of a large shopping center, thus, the matter of choice and securing market area became an important valuable in this trend. Moreover, multi-complex space has been proposed as the goal of successful business with promoting the public benefit. Research design, data, and methodology - This research studied consumer behavior using data about the life style and sales of consumers, not statistical data or survey as previous studies. This research tried to find the differentiation in complex cultural space with consumption behavior of department store. Results - As the structure of society and culture was getting diverse and complex, economic growth and development with such diversity and complexity improved consumers' quality of life. The changes of consumer life style are quite natural like human instinct. Department stores have activated retail business with the products of accumulated technology. Moreover, they have created the space of consumption and culture. Because of these social and environmental changes, department stores are being developed as Multi-functional spaces as well as sale places considering the strategies of department and the changes of consumers' purchasing behaviors. Conclusions - Urban culture complex is a landmark standing for the culture era of 21st century. It has provided an opportunity for consumers to enjoy culture, and has been an important factor to improve company images. Based on these roles and needs, expectancy effects are related with consumer preference and space preference, and the attitude toward companies. Moreover, the expectancy effects from those relationships are getting bigger and bigger. We should respect nature, a characteristic of Korean architecture, maintain visual continuity that harmonies with nature in the development of the complex space of the domestic department stores, and should take significance in the development of the complex cultural space in the direction of feeling the hierarchy of the space to obtain the visual pleasure with the artificial structure.

• Journal of Distribution Science
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• v.11 no.1
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• pp.45-53
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• 2013

Purpose - The environment-friendly agricultural product market in Korea sees continual high growth. Recently, the Korean government has been actively fostering environment-friendly agriculture as an engine of future growth. Korean people have increasingly become more health-conscious and interested in food safety issues. Many distribution and retailing companies have responded with various promotional activities. However, most of these are not strategic and appear to have unsatisfactory outcomes. The main purpose of this paper is to suggest effective marketing strategies for environment-friendly agricultural products. To achieve this aim, the study empirically investigates the effects of consumer characteristics and trust on the purchase intention of environment-friendly agricultural products. Research design, data, methodology - Based on the theory of planned behavior, and previous studies related to the purchase intention and consumption of environment-friendly agricultural products, we set up five study hypotheses. These related to the demographic characteristics of consumers, purchase intention, and behavior of the products. We then set up a study model and four study hypotheses relating to health consciousness, environmental consciousness, consumer trust level, purchase intention, and behavior of the products. The data were collected using a questionnaire given to consumers living in Seoul and southern Geonggi Province. The final sample size is 403 and mean age is 44.3. SPSS 15.0 for Windows and Amos 7.0 were used as statistical analysis tools. Meaningful results were derived using frequency analysis, correlation analysis, a t-test, and structural equation modeling. Results - Empirical results of this research are as follows. (1) First, it is shown that consumers consider such attributes as intimacy and health to be important when they buy environment-friendly agricultural products. (2) We also found that consumers recognize the value of environment-friendly agricultural products as high, but their trust level as low. (3) Consumer groups consisting of married couples, with higher education, higher income, and higher age are shown to have a higher intention of buying environment-friendly agricultural products than any other consumer group. (4) It is estimated that the level of consumer trust positively affects the purchase intention of environment-friendly agricultural products. The path coefficient (.138) between consumer trust and purchase intention is statistically significant at the α = .05 level. (5). It is also estimated that environmental consciousness positively affects purchase intention. The path coefficient (.245) between environmental consciousness and purchase intention is statistically significant at the α = 0.05 level. The standardized path coefficients of consumer trust and environmental consciousness with purchase intention are .556 and .288 respectively. Therefore, consumer trust affects purchase intention more than environmental consciousness. (6) Finally, purchase intention is estimated to positively affect purchase behavior. Conclusions - Based upon empirical results, this research suggests that marketers of environment-friendly agricultural products should focus more on increasing consumer trust levels, emphasizing the training and education of employees. The government also should pay attention to a standardized certification system for environment-friendly agricultural products. Marketers of environment-friendly agricultural products should consider the consumer groups of married couples, with higher education, higher income, and higher age as a major target segment.

• Journal of Distribution Science
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• v.16 no.9
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• pp.65-77
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• 2018

Purpose - A trading area is very closely related to consumer life. A trading area is a cultural and social space that consumes culture and promotes human relationships as well as an economic space where consumers live their daily lives. In this context, a trading area research should be conducted objectively and empirically because it deals with the activities of consumer's life. The purpose of this study is to identify the intrinsic psychological motivation(push motivation) caused when consumers visit a trading area and to demonstrate how the push motivation for a trading area influence on consumer's flow, satisfaction, revisit intention. Research design, data, and methodology - In order to develop research hypotheses for this study, the development procedures for push motivation scale are as follows; (1) generating initial pool of items based on previous studies, (2) expert judgement to evaluate content and face validity, and (3) assessing convergent and discriminant validity using confirmatory factor analysis. In order to achieve these purposes, online surveys were conducted on frequent or familiar visitors to the trading areas around the Gangnam, Kunkuk University and Hongik University Station. Among the 1,343 questionnaires collected, 1,157 cases were analyzed by using SPSS 22.0 and SmartPLS 3.0 statistical package program, except for 186 responses in which responses were judged to be unfaithful. Results - The push motivation was classified into five sub-dimensions of excitement/stimulus, rest/relaxation, exit/refreshing, knowledge/learning and human relationship promotion as multidimensional and complex factors composed of individual and social-related dimensions. The excitement/stimulus and human relationship promotion of push motivation have positive effects on satisfaction. However, all dimensions of the push motivation have positive effects on flow. And flow has a positive effect on satisfaction and revisit intention. Meanwhile, the mediation test using boostrapping shows that flow plays a full mediating role in the relationship between rest/relaxation, exit/refreshing, knowledge/learning and satisfaction, but a partial mediating rol e between excitement/stimulus, human relationship promotion and satisfaction. Finally, satisfaction plays a partial mediating role between flow and revisit intention. Conclusions - This study shows that the push motivation is multidimensional and compositive depending on the situation of a consumer. In addition, it is found that the human relationship promotion(a social-related motivation) has a much more important effect on flow and satisfaction than other push motivations of individual dimensions. It also shows that satisfaction increases when consumers are being flowed at their visit and degree of revisit intention also grows as satisfaction increases. As implications of this study, a marketer should try to understand consumer's visit motivation at first and then develop factors that increase their flow, satisfaction, revisit intention. It also requires a marketer to approach subjects on a trading area more objectively and empirically based on the psychology and behavior of consumers, in order to establish a proper and efficient strategy on development of a trading area.

• Journal of Distribution Science
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• v.15 no.6
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• pp.77-96
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• 2017

Purpose - This study aims to develop correspondence strategies to the environment change in domestic retail store types. Recently, new types of retails have emerged in retail industries. Therefore, trade area platform has developed focusing on the speed of data, no longer trade area from district border. Besides, 'trade area smart' brings about change in retail types with the development of giga internet. Thus, context shopping is changing the way of consumers' purchase pattern through data capture, technology capability, and algorithm development. For these reasons, the sales estimation model has been shown to be flawed using the notion of former scale and time, and it is necessary to construct a new model. Research design, data, and methodology - This study focuses on measuring retail change in large multi-shopping mall for the outlook for retail industry and competition for trade area with the theoretical background understanding of retail store types and overall domestic retail conditions. The competition among retail store types are strong, whereas the borders among them are fading. There is a greater need to analyze on a new model because sales expectation can be hard to get with business area competition. For comprehensive research, therefore, the research method based on the statistical analysis was excluded, and field survey and literature investigation method were used to identify problems and propose an alternative. In research material, research fidelity has improved with complementing research data related with retail specialists' as well as department stores. Results - This study analyzed trade area survival and its pattern through sales estimation and empirical studies on trade areas. The sales estimation, based on Huff model system, counts the number of households shopping absorption expectation from trade areas. Based on the results, this paper estimated sales scale, and then deducted modified probability model. Conclusions - In times of retail store chain destruction and off-line store reorganization, modified Huff model has problems in estimating sales. Transformation probability model, supplemented by the existing problems, was analyzed to be more effective in competitiveness business condition. This study offers a viable alternative to figure out related trade areas' sale estimation by reconstructing new-modified probability model. As a result, the future task is to enlarge the borders from IT infrastructure with data and evidence based business into DT infrastructure.

• The Journal of Industrial Distribution & Business
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• v.10 no.7
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• pp.39-48
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• 2019

Purpose - The purpose of this study was to explore the impact of chatbots' innovation attributes on the innovation acceptance for consumers who have used chatbots to purchase fashion products that account for a large share of transactions in mobile shopping. Research design, data, and methodology - Data were collected from Korean consumers aged 20 to 49 who had experience using chatbots when purchasing fashion-related products via mobile circumstances. After a pilot survey of 31 customers, pre-questionnaire was revised for the final test, and the final questionnaire was distributed to 1,500 subjects. Out of these, 244 were retrieved. After excluding 48 inappropriate responses, 196 were used for statistical analysis. Frequency analysis, exploratory factor analysis, one-way ANOVA, regression analysis and independent t-test using SPSS 23.0 were employed for data analyses. Results - First, four factors of chatbots' attributes were extracted: relative advantages and compatibility, complexity, sensibility, and diversity. Second, two factors were extracted for fashion leadership: fashion opinion leadership and fashion innovativeness. Two groups based on the fashion leadership were identified: active innovation adopters and passive innovation adopters. Third, relative advantages and compatibility, diversity, sensibility of innovation attributes were found to have effects on the innovation acceptance in order. Fourth, significant differences were found in sensibility of innovation attributes and innovation acceptance in groups by marital status and age. The married in their 30s and 40s perceived sensibility as a more important attribute of chatbots than the unmarried in their twenties. Among the groups of different income levels, meaningful differences were found in diversity of innovation attributes and innovation acceptance. Fifth, there were significant differences found in relative advantages and compatibility, sensibility of innovation attributes, and acceptance of Innovation among the groups by fashion leadership. Active innovation adopters were found to be more aware of the importance of relative advantages and compatibility, and sensibility of innovation attributes, and innovation acceptance. Conclusions - The present study provides chatbots' marketing strategies for fashion items need to be modified by demographic characteristics and fashion leadership. Particularly, fashion leadership was found to be an important factor in determining the perception of innovation attribute as well as innovation acceptance.

• Journal of Korean Society of Forest Science
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• v.95 no.6
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• pp.723-728
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• 2006

Since the forest succession is changing process in the structure and function of a forest for the long period of time, the objectivity of the process could be improved through the development of model or statistical methodology. This study was carried out to estimate succession index based on climax index and species composition parameters, thereupon to compare the succession index with life form and species diversity so as to grasp the information of quantitative successional process for the six community types in the natural deciduous forest of Mt. Jumbong area. The results indicated that Quercus mongolica-Tilia amurensis community had the greatest succession index of 67.5, followed by Abies holophylla-Fraxinus mandshurica community with 67.4. Juglans mandshurica-Cornus controversa community was recorded the smallest value of 60.5. The succession index of overstory tended to increase considerably at the stage of steady state for all community types except Quercus mongolica-Tilia amurensis community. However, The index of midstory hardly varied as the forest succession would progress for all community types. The succession index was negatively correlated to wind-water dispersion type of life form and positively to animal dispersion type at the 5% probability level. On the other hand, the index was not significantly correlated to the species richness and Shannon's species diversity index.

• Journal of Intelligence and Information Systems
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• v.20 no.2
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• pp.1-17
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• 2014

The proliferation of using social media and social networking services affects the lifestyles of people. These phenomena are useful to companies that wish to promote and advertise new products or services through these social media; these social media venues also come with large amounts of user data. However, studies that analyze the data of social media within the perspective of information exchanges are hard to find. Much of the previous research in this area is focused on measuring the performance of exhibitions using general statistical approaches and piecemeal measures. Therefore, in this study, we want to analyze the characteristics of information exchanges in social media by using Twitter data sets, which are relating to the Mobile World Congress (MWC). Using this methodology provides exhibition organizers and exhibitors to objectively estimate the effect of social media, and establish strategies with social media use. Through a user network analysis, we additionally found that social attributes are as important as the popular attribute regarding the sustainability of information exchanges. Consequently, this research provides a network analysis using the data derived from the use of social media to communicate information regarding the MWC exhibition, and reveals the significance of social attributes such as the degree and the betweenness centrality regarding the sustainability of information exchanges.

• Korean Journal of Construction Engineering and Management
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• v.18 no.1
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• pp.90-99
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• 2017

This paper is to understand the impact of systematic risk on capitalization rate at office building market and retail real estate market in Seoul and to see if CAPM(Capital Asset Pricing Model) is applicable. For this, this paper considers eight different office building and retail real estate markets in Seoul city area, called GBD, YBD, CBD, and Other Business District, and GBD, SBD, CBD, and Other Business District, to find out if there is any positive-linearity between systematic risk and capitalization rate for each business district not. Then, this paper tries to verify applicability of CAPM to four office building markets and four retail real estate markets with Black, Jensen, and Scholes(1972)'s statistical methodology. At last, the result shows that there is positive linearity between systematic risk and capitalization rate only GBD except Others(YBD, CBD, and other business district) in office building market. In addtion, SBD and CBD, they could be figured out that it is not efficient market because increasing systematic risk declines capitalization rate in retail real estate market. However, CAPM is not applicable in all office building(GBD, YBD, CBD, and other business district) and retail real estate markets(GBD, SBD, CBD, and other business district) in Seoul.

• Journal of Korean Academy of Nursing
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• v.21 no.3
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• pp.323-338
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• 1991

This study investigated the effect of supportive nursing care including modified guided imagery on the discomfort, self- esteem, erythrocyte semdimentation rate(ESR) and quality of life(Q. L.) in persons with rheumatoid arthritis (R. A.). The purpose was to contribute to the development of theoretical nursing care to enhance the Q. L. of persons with chronic illness. From Nov. 22, 1990 to May 2, 1991, 49 patients registered at a rheumatic clinic at one general hospital in Seoul, were accepted according to the research criteria as subjects for this study. Among these, 26 were selected for an experimental group to he treated with an interpersonal interview and modified guided imagery, the other 23 became the control group not treated for the purpose of measuring and comparing the effect of the treatment. Statistical analysis was done by a SAS program for X$^2$-test, unpaired t -test, Pearson correlation coefficients and factor analysis. The results were as follows : 1. The pre-experimental discomfort level of the total subject group averaged 25.42(S. D. ＝8.77), and the difference between the pre /post experimental discomfort levels of the two groups was not statistically significant. 2. The pre - experimental self- esteem scores of the total subject group averaged 27.48(S. D. ＝3.95), and the difference between the pre /post experimental self -esteem scores of the two groups was not statistically significant. 3. The pre - experimental Q. L. scores of the total subject group averaged 28.70(S. D. ＝5.99), and the difference between the pre /post experimental Q. L. score of the two groups was statistically significant (t＝2.1748, df＝47, p＝ .0347), 4. The pre - experimental mean of the ESR of the total subject group was 34.48(S. D. ＝19.50) mm, and the difference between the pre /post expeimental ESR scores of the two groups was not statistically significant. 5. The Family support scores of the total subject group averaged 41.28(S. D. ＝10.27). 6. The total subject group 0.L. score was correlated with self-exteem score (r＝ .3984, p＝ .0046). In this study, supportive nursing care including modified guided imagery increased the quality of life scores for this group of persons with R. A. significantly. So the concept of supportive nursing care of this study may be effective in enhancing the quality of life persons with chronic illness. Further investigations related to the methodology and with other groups of clients was recommended.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.2
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• pp.289-297
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• 2009

In the paper, we propose the methodology to extract training dataset automatically for supervised classification of road networks. For the preprocessing, we co-register the airborne photos, LIDAR data and large-scale digital maps and then, create orthophotos and intensity images. By overlaying the large-scale digital maps onto generated images, we can extract the initial training dataset for the supervised classification of road networks. However, the initial training information is distorted because there are errors propagated from registration process and, also, there are generally various objects in the road networks such as asphalt, road marks, vegetation, cars and so on. As such, to generate the training information only for the road surface, we apply the Expectation Maximization technique and finally, extract the training dataset of the road surface. For the accuracy test, we compare the training dataset with manually extracted ones. Through the statistical tests, we can identify that the developed method is valid.