• Title/Summary/Keyword: 데이터 중심 접근

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The Influence of the Founder's Social Competence and Social Capital on Access to Funding Sources (창업자의 사회적 역량과 사회적 자본이 투자유치 시도방식에 미치는 영향)

  • Park, Gyehyun;Kim, Dohyeon
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.1
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    • pp.21-35
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    • 2021
  • Based on social capital theory, this study investigated the influence of the start-up founder's social competence on the start-up's access to funding sources and performance through the mediating role of the type of social network. This study aimed to examine two types of social networks empirically (i.e., personal networks and business networks) as social capital in analyzing the effect of the founder's social competence and social capital on the method of accessing funding sources. A self-report questionnaire was administered to 252 South Korean start-up founders whose businesses are based in South Korea. Path analysis and mediation effect analysis were performed by structural equation modeling(SEM) using STATA 16.1. This study examined the full mediating effect of the founder's social competence on his/her personal and business networks, respectively, and how the effect leads to different methods to approach funding sources. This is the first study in South Korea to analyze empirically how social competence has contrasting effects on personal and business networks as well as how each type of network varies in its influence on the method founders use to attract investment. This study is also significant in that it proposed a new methodology by utilizing the position generator as the measure of personal and business networks to analyze social networks in detail. The analyses of 252 survey data collected over a period of six months will be a valuable resource that may provide researchers, founders, investors, and other stakeholders in the start-up ecosystem with meaningful implications.

Interregional Variant Factor Analysis of Hypertension Treatment Rate in COVID-19 (코로나19에서 고혈압 치료율의 지역 간 변이요인 분석)

  • Park, Jong-Ho;Kim, Ji-Hye
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.469-482
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    • 2022
  • The purpose of this study is to analyze regional variation factors of hypertension treatment rate in COVID-19 based on the analysis results based on ecological methodology. To this end, data suitable for ecological analysis were collected from the Korea Centers for Disease Control and Prevention's regional health statistics, local government COVID-19 confirmed cases, National Health Insurance Corporation, Health Insurance Review and Assessment Service's welfare statistics, and Korea Transport Institute's traffic access index. Descriptive statistics and correlation analysis were conducted using SPSS Statistics 23 for regional variation and related factors in hypertension treatment rate, and geographical weighted regression analysis was conducted using Arc GIS for regional variation factors. As a result of the study, the overall explanatory power of the calculated geo-weighted regression model was 27.6%, distributed from 23.1% to 33.4% by region. As factors affecting the treatment rate of hypertension, the higher the rate of basic living security medical benefits, diabetes treatment rate, and health institutions per 100,000 population, the higher the rate of hypertension treatment, the lower the number of COVID-19 confirmed patients, the lower the rate of physical activity, and the alcohol consumption. Percentage of alcohol consumption decreased due to COVID-19 pandemic. It was analyzed that the lower the ratio, the higher the treatment rate for hypertension. Based on these results, the analysis of regional variables in the treatment rate of hypertension in COVID-19 can be expected to be effective in managing the treatment rate of hypertension, and furthermore, it is expected to be used to establish community-centered health promotion policies.

A research on the Construction and Sharing of Authority Record-focusing on the Case of Social Networks and Archival Context Project (전거레코드 구축 및 공유에 관한 연구 SNAC 프로젝트 사례를 중심으로)

  • Lee, Eun Yeong
    • The Korean Journal of Archival Studies
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    • no.71
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    • pp.49-89
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    • 2022
  • This study suggests the necessity and domestic application plan a national authority database that promotes an integrated access, richer search, and understanding of historical information sources and archival resources distributed among cultural heritage institutions through the "Social Networks and Archive Context" project case. As the SNAC project was transformed into an international cooperative organization led by NARA, it was possible to secure a sustainable operating system and realize cooperative authority control. In addition, SNAC authority records have the characteristics of providing richer contextual information about life and history and social and intellectual network information compared to libraries. Through case analysis, First, like SNAC, a cooperative body led by the National Archives and having joint ownership of the National Library of Korea should lead the development and expand the scope of participating institutions. Second, in the cooperative method, take a structure in which divisions are made for each field with special strengths, but the main decision-making is made through the administrative team in which the two organizations participate. Third, development of scalable open source software that can collect technical information in various formats when constructing authority data, designing with the structure and elements of archival authority records, designing functions to control the quality of authority records, and building user-friendly interfaces and the need for a platform design reflecting content elements.

Appropriate Smart Factory : Demonstration of Applicability to Industrial Safety (적정 스마트공장: 산업안전 기술로의 적용 가능성 실증)

  • Kwon, Kui-Kam;Jeong, Woo-Kyun;Kim, Hyungjung;Quan, Ying-Jun;Kim, Younggyun;Lee, Hyunsu;Park, Suyoung;Park, Sae-Jin;Hong, SungJin;Yun, Won-Jae;Jung, Guyeop;Lee, Gyu Wha;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.7 no.2
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    • pp.196-205
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    • 2021
  • As industrial safety increases, various industrial accident prevention technologies using smart factory technology are being studied. However, small and medium enterprises (SMEs), which account for the majority of industrial accidents, are having difficulties in preventing industrial accidents by applying these smart factory technologies due to practical problems. In this study, customized monitoring and warning systems for each type of industrial accident were developed and applied to the actual field. Through this, we demonstrated industrial accident prevention technology through appropriate smart factory technology used by SMEs. A customized monitoring system using vision, current, temperature, and gas sensors was established for the four major disaster types: worker body access, short circuit and overcurrent, fire and burns due to high temperature, and emission of hazardous gas. In addition, a notification method suitable for each work environment was applied so that the monitored risk factors could be recognized quickly, and real-time data transmission and display enabled workers and managers to understand the disaster risk effectively. Through the application and demonstration of these appropriate smart factory technologies, the spread of these industrial safety technologies is to be discussed.

An Analysis on the Factors Affecting University Startups (대학 창업 성과에 미치는 영향 요인)

  • Kim, Jongwoon
    • Korean small business review
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    • v.42 no.4
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    • pp.285-308
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    • 2020
  • This paper analyzes the factors which affect University professors and students on their startup activities, such as (a) University factors: their industrial cooperation organization and systems, their resources for startup support, their knowledge assets, and (b) socioeconomic characteristics in which Universities are located. We used the data and information from the University Information System and the National Statistical Office Publication to analyze 157 4-year Universities in Korea who uploaded their startup-related information on the system. Our analysis shows that Universities' systems, such as the term for Professors' leave of absence for startup activities, and their amount of knowledge assets affect the number of Professor startups significantly positively, while there is no significant effect on their performance, in terms of sales, from those factors, except for the amount of patents that the University has. In the meantime, the number of practical startup courses, the number of startup clubs, and the number of professor startups in the University affect the number of student startups, while the size of industrial cooperation body, the amount of knowledge asset, the area's socioeconomic characteristics didn't affect their performance. The result implies that we need to take different approaches to boost University professor startups and their student startups: better system and more knowledge for the former, more practical courses and programs for the latter. Further study is needed to get a more robust result because this analysis used only one year data, and personal trait data was not included in the analysis. A panel data analysis for several years is recommended for further research.

Estimation of the Cost of Hypertension Disease Loss in 2010-2017 Using Cohort at Diagnosis Age and Treatment Time (진단나이 및 치료시점 코호트를 활용한 2010~2017년 고혈압 질환 손실비 추계)

  • Noh, Yun-Gon;Lee, Sang-Ho;Choi, Kyungsik;Song, Tae Min
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.782-793
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    • 2022
  • The rise in chronic disease not only has a negative effect on people's lives, but it also increases the cost of medical care owing to the increased usage of medical care as health and medical technology improves, life expectancy rises, and rapid population ageing. In such context, this study examined the difference in the disease cost of hypertension according to demographic information and the effect of the initial diagnosis age and treatment period on the cost. This study used the Korean Health Panel Survey from 2010 to 2017, and selected subjects based on health insurance beneficiaries between the ages of 30 and under 80. With the selected data, the direct and indirect costs of disease loss were calculated according to the cost of illness approach, and we constructed a disease-loss ratio cohort considering the age of diagnosis and time of treatment for hypertension. From the results of the study, the annual cost of disease loss for hypertensive patients differed by gender by 110,107 won, and it was found that the cost increased by 1.8 times as the treatment time increased. In addition, when comparing disease loss ratios between the same age groups, it was found that the disease loss ratios between those in their 60s and 70s were affected by treatment time. This study confirmed that hypertension significantly affects the cost of the disease, and not only requires early diagnosis and management, but also preventive efforts to lower the incidence of hypertensive disease must be strengthened.

Effective Capacity Planning of Capital Market IT System: Reflecting Sentiment Index (자본시장 IT시스템 효율적 용량계획 모델: 심리지수 활용을 중심으로)

  • Lee, Kukhyung;Kim, Miyea;Park, Jaeyoung;Kim, Beomsoo
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.89-109
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    • 2022
  • Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.

The Economic Impact of the May 18 Democratic Uprising on the Regional Economy: A Synthetic Control Method (SCM) approach (5·18민주화운동이 지역경제에 미친 경제적 영향 분석: 통제집단합성법(SCM)을 이용한 접근)

  • Ryu, Deockhyun;Seo, Dongkyu
    • Analyses & Alternatives
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    • v.6 no.2
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    • pp.155-183
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    • 2022
  • The purpose of this study is to econometrically analyze the negative impact of the May 18 Democratic Uprising on the Gwangju/Jeonnam regionional economy using the Synthetic Control Method (SCM). The SCM SCM is a methodology similar to the difference-in-difference(DID) method of microeconometrics. It is applied to macroeconomic variables such as country, region, etc. to estimate the causal relationship between specific events and the dependent variable. In this study, as of 1980, local tax revenue data of metropolitan local governments were used as a proxy variable for the economy of the region, and the impact of the May 18 Democratic Uprising on the economy of Gwangju/Jeonnam region was analyzed through various socio-economic indicators. In this study, data were used to analyze from 1971 to 2000, and as a result of empirical analysis, local tax revenues in Gwangju/Jeonnam area were less collected than normal routes up to 17%. In addition, the significance of this analysis was confirmed through in-time placebo effect analysis and in-space placebo effect analysis, which are methods of analyzing the robustness of the control group synthesis method.

Entrepreneurial Costs as Determinants of the Decision on Getting Back From Self-Employment to Salary-Employment: A Social Psychological Approach (창업비용이 창업 후 재취업 (의사)결정에 미치는 영향: 사회심리학적 접근)

  • Lee, Juil;Kim, Sang-Joon
    • Korean small business review
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    • v.40 no.4
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    • pp.75-94
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    • 2018
  • This study captures the possibility that entrepreneurs can become an employee in a traditional organization (a company). Acknowledging that the career change from self-employment to salary-employment is not a trivial decision, we investigate how this career path can be made. As an exploratory approach, we take a social psychological perspective; in particular, we posit that entrepreneurial costs can affect the "getting-back" career decision. Given that career changes can be considered as a boundedly-rational choice, we claim that when the entrepreneurs are perceived as being stigmatized, these transaction-related costs will further engage in the "getting-back" career decision. To test these ideas, we sample 254 respondents from the database of Korea Education & Employment Panel (KEEP) and estimate the hazard ratio that an entrepreneur, who used to be an employee, becomes an employee with respect to entrepreneurial costs. With the results, we discuss how career changes (especially getting back to salary-employment) can be made through social evaluations of the entrepreneurs.

Poverty and Life Satisfaction of the Elderly: Mediation effect of Subjective Social Status (노년기 빈곤이 계층의식을 매개로 삶의 만족도에 미치는 영향: 독거노인과 동거노인의 비교를 중심으로)

  • Kim, Joon Beom;Jang, Dae Yeon
    • 한국노년학
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    • v.39 no.1
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    • pp.93-108
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    • 2019
  • The purpose of this study is to examine the effect of absolute / relative poverty on the life satisfaction focusing on mediation effect of subjective social status by type of elderly residents. In order to analyze the distinct characteristics of the elderly, analysis was conducted with 3,327 the elderly living together and 668 the elderly living alone using 'Korean Longitudinal Study of Ageing(KLoSA)' from 3rd to 5th wave data provided by the Korea Employment Information Service. The main analysis results are as follows. First, each poverty rate for the elderly living together accounted for 43.5 percent and 51.4 percent, while 63.8 percent and 77.2 percent for the elderly living alone respectively. Second, life satisfaction was higher among the elderly living together than living alone, However, life satisfaction was not related to condition of poverty among the elderly living alone. Third, absolute / relative poverty were associated with life satisfaction of the elderly living together, and subjective social status had a mediating effect. However, relative poverty was not related to life satisfaction among the elderly living alone, which indicated that it needs to support not only the financial approach to overcome absolute poverty but also the multi-dimensional poverty perspective in the intervention of the elderly living alone Based on the results, the study suggested to make a tool to measure of poverty using multi-dimensional poverty indicators.