• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.2
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• pp.686-693
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• 2011

Small-to-medium retailers in local neighborhood have been managing to survive without outside influence. However rapid change in business environment including consumer needs for goods and the quality of life has brought turbulence into retail business. Petty retailers are facing a crisis as large-sized discount stores owned by big enterprises are entering into traditional markets. To protect small-to-medium retailers from such threats and revive the traditional commercial markets the government is taking on the policy of subsidizing small-to-medium businesses. However, recent emergence of SSM (an industrialized supermarket in forms of direct management and affiliation) in local commercial areas has brought about conflicts and frictions between large companies and local merchants. Under this background this study attempted to make an analysis of vulnerable factors of small-to-medium retailers coping with SSM and probe for the alternatives to SSM business restructuring.

• Information Systems Review
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• v.20 no.2
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• pp.63-85
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• 2018

Emerging hotspot and trendy areas are formed into alleys and blocks with the help of viral effects among social network services (SNS) users called "Golmogleo." These users search for every corner of the alleys to share and promote their own favorite places through SNS. An analysis of hot places is limited if it is only based on macroeconomic indicators such as commercial area data published by national organizations, large-scale visiting facilities, and commuter figures. Careful analyses based on consumers' actual activities are needed. This study develops a "social big data analysis methodology" using Instagram data, which is one of the most popular SNSs suitable to identify recent consumer trends. We build a spatial analysis model using Local Moran's I. Results show that our model identifies new trend zones on the basis of posting data in Instagram, which are not included in the commercial information prepared by national organizations. The proposed analysis methodology enables better identification of the latest trend areas formulated by SNS user activities. It also provides practical information for start-ups, small business owners, and alley merchants for marketing purposes. This analytical methodology can be applied to future studies on social big data analysis.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.175-186
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• 2023

In this paper, we aim to build a gentrification analysis model and examine its characteristics, focusing on the point at which rents rose sharply alongside the recovery of commercial districts after the gradual resumption of daily life. Recently, in Korea, the influence of social distancing measures after the pandemic has led to the formation of small-scale commercial districts, known as 'hot places', rather than large-scale ones. These hot places have gained popularity by leveraging various media and social networking services to attract customers effectively. As a result, with an increase in the floating population, commercial districts have become active, leading to a rapid surge in rents. However, for small business owners, coping with the sudden rise in rent even with increased sales can lead to gentrification, where they might be forced to leave the area. Therefore, in this study, we seek to analyze the periods before and after by identifying points where rents rise sharply as commercial districts experience revitalization. Firstly, we collect text data to explore topics related to gentrification, utilizing LDA topic modeling. Based on this, we gather data at the commercial district level and build a gentrification analysis model to examine its characteristics. We hope that the analysis of gentrification through this model during a time when commercial districts are being revitalized after facing challenges due to the pandemic can contribute to policies supporting small businesses.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.01a
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• pp.331-332
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• 2021

1990년 중반 이후 외국계 기업과 국내 대기업의 적극적인 유통산업진출은 중소 소매업을 어렵게 하고 있다. 또한 대기업 편의점의 급속한 확장 역시 골목상권 환경을 열악하게 하여, 중소 소매업 점포수의 폐점을 가속화하고 있다. 2003년 중소 소매업의 경쟁력 강화 및 자생력을 확보하고자 정부는 중소유통공동도매물류센터(이하, 중소유통물류센터)를 건립하였다. 하지만 급변하는 유통환경과 온라인 쇼핑의 급속한 발전 속에서 중소유통물류센터는 갈수록 점점 어려워지는 현상에서 중소유통물류센터의 역량강화를 위한 현상분석 및 문제점 도출을 통하여 경쟁력 강화 및 효율적 운영방안을 위한 전략을 제시하고자 한다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.10
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• pp.559-568
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• 2017

recent times, the monthly rent in the Jongno-gu Historical and Cultural Street in Seoul has rapidly increased, because of the presence of large-scale franchises and the entry of private investment into the traditional and local businesses focusing on Bukchon, Seochon, Insa-dong, and Samcheong-dong. As a result, the business environment for these merchants has worsened, due to the increasing economic burden. In order to maintain the business environment of the merchants, it is necessary to evaluate the potential for establishing a regional commercial area, in order to resolve the problems of the existing commercial areas and to improve the locational, economic, cultural and political environment. This study analyzed the factors influencing the merchants' satisfaction with the business environment as a function of their age, by considering three age groups, viz. 30-49, 50-59, and more than 60, considering the locational, economic, cultural and political environment of the merchants. Among the factors influencing the satisfaction with the business environment, the merchants in their 30s and 40s placed more emphasis on the traffic accessibility, floating population, store premium and monthly rent than the other age groups. Among the factors influencing the satisfaction with the business environment, the merchants in their 50s placed more emphasis on the cultural organization, artist activities, expansion of community support facilities, and banning of franchises in certain locations than the other age groups. Among the factors influencing the satisfaction with the business environment, the merchants over 60 years old placed more emphasis on the walking accessibility, monthly sales, merchant community, preservation of historical and cultural landscape, and commercial protection of the government than the other age groups.

• 한국벤처창업학회:학술대회논문집
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• 2017.04a
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• pp.34-34
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• 2017

본 연구는 현재 사회적으로 은퇴 또는 명퇴가 보편화 되는 관점에서 과거 은퇴예정자들은 은퇴 후 창업계획에 대해 내재된 기술과 노하우가 있어도 상당수 창업성과로 이어지지 못하고 있으며, 창업의지가 있어도 기술창업과 연계되지 못하고 소상공인 위주의 생계형 창업이 보편화 되어왔다. 은퇴자들의 준비되지 못한 자영업창업은 자영업자들의 상황을 갈수록 어려워지게 하고 있다. 경기침체에 따른 내수부진과 대기업의 골목상권 진출확대 등으로 영세자영업부진은 자영업자 가구의 상대적 빈곤율이 갈수록 높아지고 있는 것으로 나타났다. 특히, 노후대책이 미흡한 베이비부머들이 자영업에 나서지만 대부분이 실패를 하고 있으며, 55세 이상 자영업가구 10가구 중 3가구 이상이 빈곤층에 속해 우리 경제의 문제점으로 지적되고 있다. 이처럼, 장기간 내재된 직장, 단체에서의 사회적자본이나 지적자본을 활용하지 못하고 어쩔 수 없는 자영업 소상공인 위주의 창업은 결국 과다출혈경쟁과 차별적 사업전략 없이 또 다른 사회문제점으로 발현되어 사회적문제와 미래에 지불해야할 또 다른 문제요소로 자라잡고 있는 현실이다. 이런 측면에서 은퇴예정자의 창업은 창업자가 잘 할 수 있고 고객니즈의 문제점에서 아이디어를 얻고 해결할 수 있는 기술창업이 대안이라 할 수 있다. 이러한 문제적 접근을 좀 더 면밀히 분석하고자 현재 직장인들 가운데 은퇴예정자들을 대상으로 그들이 그동안 직장생활하면서 얻게 된 시회적자본과 지적자본이 기업가정신을 매개로하여 창업의지에 어떻게 영향을 미치는가를 분석하는데 그 목적이 있다.

• Journal of Industrial Convergence
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• v.20 no.4
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• pp.7-14
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• 2022

The decrease in the school-age population caused the closure of private universities, but the guidelines at closed private universities are ambiguous, causing confusion. Therefore, this study intends to suggest a plan to utilize the closed school university. The government aims to increase the possibility of selling closed schools by preventing alley slums through the recovery of alley commercial districts and local communities. The data were collected through a Google survey from September 30 to October 8, 2021 and an on-site interview conducted on October 2, 2021. A total of 84 nearby citizens of the closed school university were surveyed, and on-site interviews were conducted with a total of five people. The collected data suggested the direction of utilization plan for closed school building. This study will present a model for the use of closed school property in the future and contribute to the establishment of urban regeneration policies.

• Journal of the Korean Regional Science Association
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• v.34 no.1
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• pp.31-47
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• 2018

This study examines the locational characteristics and change of business type in the residental areas that have commercial gentrification issues in Seoul, Korea, using the logistic regression model. The analysis results indicate that the gentrification occurrence areas are strongly associated with low-density and old residential areas. In addition, those areas are more likely to have great accessibilities to highway ramp, subway station, colleges, and other facilities that attract people. Regarding the characteristics of the road, gentrification occurrence areas are associated with longer road length, lower rate of road areas, higher local integration of road network, and higher rate of three-way intersections. This finding indicates that low-density and old residential areas with organic road networks have strong links with commercial gentrification. This study also finds that the business type has been substantially changed from 2006 to 2014 in the commercially gentrified residential areas. While the coffee shops and drinking places have been increased, but neighborhood-living facilities have been decreased. This study also shows that the business life-cycles of drinking places or Korean restaurant are getting short. Finally, this study discusses the commercial gentrification issues and policy implications in the residential districts in Seoul, Korea.

• 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.

• Journal of Digital Convergence
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• v.13 no.10
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• pp.69-80
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• 2015

The Purpose of this study is to establish efficient and balanced development and to make transparent marketing system, environment which is to protect small business, consumer's. This Goal of this study is that focus on development of regional and national economy. Especially, to protect small businessmen, to reserve consumer's buying choice. First of all, to examine causes of distribution maintenance and to will be analysed legal controversy of big distributive markets since local autonomy business limits. It is this study that concentrate on big distributive mart shutdown of business hours, Problems and Countermeasures. The main focus of in this study is as follows: First, to examine the ruling of the court that protest and accept of business hour in big distributive mart' problem and regulation, Second, to understand each of the judgement and problems of distributive shutdown systems, Third, to suggest the good distributive business trade act and the possible collaboration with focus on small and big mart System in Korea. This paper to analyze case of conflict and focus on establishment of transparent distribution since business limits.