• Journal of the Korean Society of Costume
• /
• v.50 no.8
• /
• pp.165-175
• /
• 2000

The Purposes of this study are to analyze fashion trading area's conditions of Busan area to establish fashion marketing strategies for the conditions of location in choosing the new retailers and to propose the most efficient, optimum fashion trading area(FTA) under the management mind of low cost and high efficiency according to the changes of 21C management paradigm. The subjects of investigation for this study were 1083 women visited FTA in Busan. The data were analyzed by using MANOVA, ANOVA, frequency and trend analysis, and the Cronabach $\alpha$ and Turkey HSD were also applied. The results of this study were summarized as follows. 1 The characteristics of consumer spatial behavior according to fashion trading area show significant difference in starling position, movement means, movement time, visit purpose and visit frequency. 2 The buying behavior of fashion items according to fashion trading area shows difference in fashion trading area shows difference in fashion trading area, store and buying behavior.

• Journal of Fashion Business
• /
• v.10 no.1
• /
• pp.148-163
• /
• 2006

The purpose of this study is to examine differences in university students' spatial behavior and time for purchasing weekdays or weekends according to trading areas they use to purchase casual wears. Theoretical background examined trading areas, in Busan, consumers' spatial behavior. An empirical research developed a questionnaire as a measuring tool to conduct a preliminary survey and a main survey. Data collection was implemented with 507 students from four universities in Busan; and for data analysis, descriptive statistics, cross-tabulation analysis, correspondence analysis, and McNemar test were carried out by using the SPSS for Windows 12.0K program. This study obtained the main results as follows: The characteristics of university students' spatial behavior according to trading areas show significant difference in reasons of trading area selection, time slots for visiting. University students who visited the Seomyeon trading area were found to consider comparison-based purchasing and prominence of the trading area, regardless of the time for purchasing weekdays or weekends. As for trading areas around Busan National University, visits were mainly due to accessibility. Students visited trading areas in Nampo-Gwangbok-dong regardless of the time for purchasing in diverse reasons of trading area selection, time slots. As for trading areas around Kyungsung University, students were visited due to accessibility.

• Journal of the Korean Institute of Navigation
• /
• v.15 no.2
• /
• pp.61-86
• /
• 1991

This paper aims to investigated the reasonable objectiveness of trading areas on the Korea Ship Safety Act and to make a regulated proposal of trading areas. To achieve the above mentioned object, we analyzed the existing rules and other related circumstances of maritime fields. On the basis of this viewpoint, this paper was focused on three topics of concern : (1) the relationship between the ship Safety Act and other Maritime Acts. (2) the legislative examples of foreign countries, (3) the reasonable revised reasons of trading areas. In this paper, we proposed following four matters such as (1) the modification of ship's length and speed which are the designative basis of trading areas, (2) the extension of the smooth sea area to limit of territorial seas (3) the extension of the near-coastal area to the coasts of the P.R.C., Japan, the U.S.S.R and the R.O.C ., and rename of its area into the near & greater coastal area, (4) the annulment of greater-coastal area.

• Journal of Distribution Science
• /
• v.10 no.12
• /
• pp.5-11
• /
• 2012

Purpose - This paper proposes measurement models to evaluate the management performance of small and medium-sized retail businesses on the basis of a trading area analysis that compares their proposed revenue to actual revenue in the trading area. Research design, data, methodology - The study proposes measurement models consisting of five stages, namely: (1) district background survey, (2) customer survey, (3) competitor survey, (4) business district survey, and (5) business performance analysis. Results - To identify business districts easily, this study preferred a minor-adjusted method based on the Euclidean distance, as it is simple to employ for the small and medium-sized businesses. This model was applied to select coffee shops in Daejeon. Results indicated that although the targeted shop was not located in an appropriate location, actual sales were higher than expected. Conclusions - Small- or medium-sized retail businesses face difficulties regarding the economies of scale and brand recognition and must choose an appropriate location to ensure management stability. However, such businesses will find it difficult to evaluate their competitive edge accurately using a trading area analysis.

• Journal of Intelligence and Information Systems
• /
• v.24 no.1
• /
• pp.25-52
• /
• 2018

This study performs social network analysis based on consumer sentiment related to a location in Seoul using data reflecting consumers' web search activities and emotional evaluations associated with commerce. The study focuses on large commercial districts in Seoul. In addition, to consider their various aspects, social network indexes were combined with the trading area's public data to verify factors affecting the area's sales. According to R square's change, We can see that the model has a little high R square value even though it includes only the district's public data represented by static data. However, the present study confirmed that the R square of the model combined with the network index derived from the social network analysis was even improved much more. A regression analysis of the trading area's public data showed that the five factors of 'number of market district,' 'residential area per person,' 'satisfaction of residential environment,' 'rate of change of trade,' and 'survival rate over 3 years' among twenty two variables. The study confirmed a significant influence on the sales of the trading area. According to the results, 'residential area per person' has the highest standardized beta value. Therefore, 'residential area per person' has the strongest influence on commercial sales. In addition, 'residential area per person,' 'number of market district,' and 'survival rate over 3 years' were found to have positive effects on the sales of all trading area. Thus, as the number of market districts in the trading area increases, residential area per person increases, and as the survival rate over 3 years of each store in the trading area increases, sales increase. On the other hand, 'satisfaction of residential environment' and 'rate of change of trade' were found to have a negative effect on sales. In the case of 'satisfaction of residential environment,' sales increase when the satisfaction level is low. Therefore, as consumer dissatisfaction with the residential environment increases, sales increase. The 'rate of change of trade' shows that sales increase with the decreasing acceleration of transaction frequency. According to the social network analysis, of the 25 regional trading areas in Seoul, Yangcheon-gu has the highest degree of connection. In other words, it has common sentiments with many other trading areas. On the other hand, Nowon-gu and Jungrang-gu have the lowest degree of connection. In other words, they have relatively distinct sentiments from other trading areas. The social network indexes used in the combination model are 'density of ego network,' 'degree centrality,' 'closeness centrality,' 'betweenness centrality,' and 'eigenvector centrality.' The combined model analysis confirmed that the degree centrality and eigenvector centrality of the social network index have a significant influence on sales and the highest influence in the model. 'Degree centrality' has a negative effect on the sales of the districts. This implies that sales decrease when holding various sentiments of other trading area, which conflicts with general social myths. However, this result can be interpreted to mean that if a trading area has low 'degree centrality,' it delivers unique and special sentiments to consumers. The findings of this study can also be interpreted to mean that sales can be increased if the trading area increases consumer recognition by forming a unique sentiment and city atmosphere that distinguish it from other trading areas. On the other hand, 'eigenvector centrality' has the greatest effect on sales in the combined model. In addition, the results confirmed a positive effect on sales. This finding shows that sales increase when a trading area is connected to others with stronger centrality than when it has common sentiments with others. This study can be used as an empirical basis for establishing and implementing a city and trading area strategy plan considering consumers' desired sentiments. In addition, we expect to provide entrepreneurs and potential entrepreneurs entering the trading area with sentiments possessed by those in the trading area and directions into the trading area considering the district-sentiment structure.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.40 no.2
• /
• pp.203-220
• /
• 2016

This research analyzed characteristic changes in trading areas and the success factors of popular fashion trading areas (Garosu-gil, Dongdaemun, and Itaewon). This research adopts a social network analysis method to semantically analyze trading areas. Articles on the three fashion trading areas were located through KrKwic software to extract keywords and calculate word frequency. Keywords with high frequency were placed through NodeXL software to identify relationships among keywords. Researchers created a network of relationships among trading areas and between past and present of trading areas to analyze and visualize. In the past (2008-2009), the trading areas of Dongdaemun, Garosu-gil and Itaewon were placed horizontally with a limited number of shared keywords between them. However, the three trading areas retain diverse rage of keywords and an organic realtionships five years later (2013-2014). Compared to the past, all three areas see the emergence of relevant fashion keywords such as 'designer', 'design', 'brand'. Additional cultural keywords such as 'culture/art/performance', 'exhibition', and 'event' have commonly appeared and imply that related industries are an important factor as well. Fashion companies that consider evaluating areas for a new store opening need to understand the trading area characteristics and select the most suitable area. In addition, it is necessary to equip the trading area with basic fashion elements as well as relavant industry when the government tries to develop fashion trading areas.

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

• The Korean Journal of Franchise Management
• /
• v.11 no.1
• /
• pp.45-60
• /
• 2020

Propose: The expansion of the delivery market in franchise business is a positive means of advertising and promotion for franchisees and contributes to substantial sales growth for stores. However, unrestricted and uncontrolled delivery sales and business activity of franchisee directly lead to encroachment of business territory between franchisees, resulting in increased operating costs of franchisees and conflicts between franchisees over rights and interests on franchise business. Moreover, in relation to the restrictions on the opening of competitors, it is incapacitating the law intent of prohibiting unfair encroachment of business territory, in the issue of the Fair Franchise Act in regard to guarantee of exclusive sales and business activity rights of franchisee. This study aims to point out major problems arising out of franchisee's infinite competition on delivery sales and business activity that are not restricted or controlled and then suggest legal supplements, policy tasks, and practical implications for improvement on the issues. Literature Review: In franchising business transactions, vertical restraints are associated with the exclusive territory establishment, control of transaction area, restriction of intangible sales and business activity of franchisee. Therefore, in the franchise business, it is necessary to take positive interpretation and application on e-commerce, the area of e-commerce, and delivery trading area and find proper and practical ways, by virtue of constructive attitude of each actor, to reduce the encroachment of business territory and various conflicts caused by unrestricted delivery trading area. Conclusion and suggestion: The finding shows that unrestricted or uncontrolled delivery sales and business activity of franchisees cause encroachment of business territory and many conflicts among franchisees. And this matters also weaken the legislation of the law on the protection of the business territory and can be negative factors that disrupt the protection of identity and sound development of the franchise industry in the long run. Therefore, in the franchise business, it is necessary to take positive interpretation and application on e-commerce, the area of e-commerce, and delivery trading area and find proper and practical ways, by virtue of constructive attitude of each actor, to reduce the encroachment of business territory and various conflicts caused by unrestricted delivery trading area.

• The Journal of Fisheries Business Administration
• /
• v.32 no.1
• /
• pp.1-14
• /
• 2001

The research on the price-volume relation in the market is very important because it examines into regular phenomenon revealed by market participants including producers and middlemen. The purpose of this study is to investigate the relationship between price and trading volume in the oyster producing market. In order to accomplish the purpose of this study, the contents of empirical analysis include the time series properties of price and trading volume, the short-term and long-term relationships between price and trading volume, and the determinants of trading volume. The data used in this study correspond to daily price and trading volume covering the time period from January 1998 to April 2001. The empirical results can be summarized as follows : First, price and trading volume follow random walks and they are integrated of order 1. The first difference is necessary for satisfying the stationary conditions. Second, price and trading volume are cointegrated. This long-run relationship is stronger from trading volume to price. Third, error correction model suggests that feedback effect exists in the long-run and that price tends to lead trading volume by about five days in the short run, that is, to be required period by digging, conveying, and peeling oystershell for selling oyster. Fourth, price and price volatility is a determinant of trading volume. In particular, trading volume is a negative function of price. It is believed that the conclusion drawn from this study would provide a useful standard for the policy makers in charge of reducing the oyster price volatility risk caused by trading volume(selling quantities).

• Journal of the Korean Society of Clothing and Textiles
• /
• v.29 no.3_4 s.141
• /
• pp.511-522
• /
• 2005

The purpose of this study is to analyze the organization of trading area and fashion trend in Gumi based on the observation of fashion brand stores which had been undertaken on a regular basis from July 2001 through July 2004. Gumi has over 1,000 stores located in main trading streets, about $25\%$ of which was fashion retail stores. In July 2004, $64.6\%$ of them was selling branded products, and the number of unisex casual wear stores was the greatest, followed by women's casual wear stores, sportswear stores, and children's wear stores. On the main streets of Gumi, casual attires as well as casual wear stores can be easily observed because the population of eumi is young compared to that of other regions. Among casual wear brands, especially sensory, or trendy casual wear brands such like BNX, A6, Coax, Koolhaas, EXR, and Smex came into Gumi area in large numbers since fall of 2002. From the observation data, dynamic and systemic effects of economic state, population, seasonal elements, product characteristics, etc. on the organizations of trading area were identified.