• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.249-250
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• 2016

Korean government has announced declared prices of apartment reflecting market condition each year. Therefore, on that basis, apartment owners have used as basic data trading apartments and the government has been used to calculate the tax. However, the sales prices and declared prices of apartment has occurred difference depending on the region and the brand. This study has analyzed and compared regional differences in sales price of apartments. The results of this study, we have known that sales price of apartments was a big difference depending on the region and the gross area. Especially, Seoul and Gyeonggi Province are the highest. And sales price of Southeast and urban area are the highest in Seoul. In the future, it is necessary that gap analysis between sales price and declared prices of apartment. And It is needed to develop apartment index considering the region and the gross area.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.16-23
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• 2017

Purposes: Despite the positive health effects of both smokers and non-smokers, the non-smoking area policy is being negatively evaluated because of the vague fears of declining restaurant sales. The purpose of this study is to analyze the changes in sales of general restaurants(including liquor stores) and other restaurants that are considered to have the most applications of smoking cessation policy among the smoking facilities, and to examine the economic impact of the designation and expansion policies of non-smoking areas. Methodology: This study used the wholesale and retail trade survey data of the Korea National Statistical Office from 2011 to 2014 and analyzed 31,577 restaurants excluding missing values. For statistical analysis, t-test, ANOVA and Difference-in-differences(DID) models were used and the interaction term of area and year was entered. Findings: As the non-smoking area policy had been designated and expanded from December 2012 to December 31 2013, high restaurant sales in 2012 declined sharply in 2013. However, despite the expanding of the no-smoking area from January 1 2014 through December 31 2014, restaurant sales slightly recovered in 2014. In the case of other restaurants, there is no significant change in sales since the start of the policy in 2013. Practical Implications: The decline in restaurant sales due to the designation and expansion of non-smoking areas is temporary and can not be sustained over the long term. This result can be used to positively suggest negative perceptions of the designation and expansion policy of non-smoking areas. Also, this result can contribute to health promotion and smoking cessation policies by protecting non-smokers from the risk of secondhand smoking exposure and inducing smokers to decrease smoking rate and smoking amount.

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

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

• Journal of the Korean housing association
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• v.9 no.3
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• pp.33-46
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• 1998

This study attempts to find out the characteristic of apartment housing sales information and housing choice behavior according to housing location. For this purpose, the apartment housing sales information in newspaper advertising was investigated and analyzed by advertising appeals to clarify the phenomenon of apartment housing sales and the components of home environmental quality according to housing location in Pusan. Then the field survey has been carried out based on 176 households living in Pusan. The major findings are as follows: 1) The components of home environment through AAs were divided into three categories of appeals: residential area, site area and dwelling unit area. 2) Apartment housing developments were differentiated according to period of development and occupancy scales according to housing location. 3) The results of field survey showed users' housing location. 4) The characteristics of apartment housing sales information according to housing location were revealed those characteristic were concentrated on the category of residential area than site area or dwelling unit area. But in housing choice behavior, the characteristics of housing location appeared in all categories of home environment. Therefore, for better apartment housing development and planning, the characteristics of housing location need to be considered more actively.

• Journal of the Korean Geographical Society
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• v.39 no.3
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• pp.360-373
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• 2004

The purpose of this study is establishing how to build the area of local agents and regional offices in the oil company using GIS technique by reviewing on the spatial distribution pattern and characteristics of the sales area of oil products. Location-allocation and spatial interaction model are cooperated in order to establish sales area of petroleum products distribution system. Location-allocation model is used in the capital region where local agents are concentrated on like Kyoung-gi local agent. Spatial interaction model is used in the rest of the area in Korea to analyze the sales range of the regional offices in oil company. Each office made a big difference in registered cars and population because of the level of petroleum consumption in each sales 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.

• Spatial Information Research
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• v.12 no.2
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• pp.211-228
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• 2004

The purpose of this study is to analyze the sales area of gas stations to see the quality and the efficiencies of spatial distribution structure for petroleum products in Tae-jeon City. Location pattern of gas station is classified by factors of competitive facilities, transportation, population and landuse in Tae-jeon City. As a result, High profit pattern and low profit pattern is classified. The characteristics of the distribution pattern of gas station are that the while densely populated has a small sales area, the thinly populated region has huge ones. Location-allocation model is used in order to minimize the travel distance from consumer location to gas station and balance the spatial distribution of gas station in case studies. The result reveals that the model-based locations of gas stations are more dispersed and balanced in the whole Tae-jeon City compared with the actual location of gas stations. This study shows the characteristics and spatial distribution patterns of sales area and location in petroleum products distribution facilities.

• Korean Institute of Interior Design Journal
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• v.25 no.1
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• pp.124-131
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• 2016

This study focuses on the proposal of the basic data for the design guideline on the coming design, through the comparison analysis of the community facility's layout type inside housing complex, the space configuration and the characteristic of space program for the achievement and improvement of the physical space to cultivate the sense of community. This study investigate interviews with designers, administrators, residents, and site survey. The result of study shows that the community facilities in the public rental apartments have changed to include various programs and to increase the area like the public sales apartments, but there are spacial transformation if the community facilities do not apply the residents characteristic.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.205-216
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• 2020

This study seeks to empirically analyze the effects of core self-evaluation and adaptive selling behavior on sales performance for female salespersons engaged in door-to-door sales through the face-to-face channel in the wellness industry. This study seeks to examine the importance of adaptive selling, through, salespeople derive appropriate strategies in response to market changes. For female salespeople who use face-to-face channels, this study empirically investigated the relationship between core self-evaluation and adaptive selling, and effects on sales performance. A 31-item survey was constructed, based on prior research. We selected six door-to-door sales companies in South Korea and conducted one-to-one interviews with female salespeople in the Seoul metropolitan area and analyzed 208 pieces of significant data. Results demonstrated that among the core self-evaluation factors for female salespeople, self-esteem, self-efficacy, and neuroticism had an effect on adaptive selling factors, while locus of control did not. These factors were found to affect sales performance through the mediating role of adaptive selling. Improvements in the adaptive selling capabilities of female salespeople in charge of face-to-face channels positively affected sales performance. Management efforts are required to enhance self-esteem, self-efficacy, or neuroticism. These results suggest that companies should support enhancing individual adaptive selling capabilities of their salespeople.