• 한국벤처창업학회:학술대회논문집
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• 2021.11a
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• pp.57-61
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• 2021

'증거기반 교육'은 개인적 경험이나 성공 사례, 그리고 전통적인 속설보다는 과학적 연구결과와 근거가 중심이 되는 교육이다. 증거기반 창업 교육은 기존 속설과 믿음, 단편적 성공 사례로 인해 고착된 인지 편향을 완화시켜 중립적인 시각을 견지할 수 있으며, 직관과 경험을 넘어 데이터와 연구 결과에 의해 의사결정을 하는 분석적 자질을 연마하는데 기여한다. 본 논문은 현재 국내의 증기기반 창업교육의 현주소를 명확히 파악하기 위하여 1999년부터 2021년 출판된 49권의 창업교육 대학 교재를 분석하였다. 구체적으로 모든 도서의 내용을 1)창업기초, 2)비즈니스모델, 3)마케팅계획, 4)재무계획, 5)운영계획, 6)창업유형, 7)절차 및 제도의 각 7가지 기준으로 구분하고, 각각 사례, 단순통계, 변인 통계, 선행 연구의 비중을 분석하였다. 분석결과 증거의 핵심인 선행연구의 비중은 전체 교재의 총 분량 중 11.25%를 차지하는 것으로 나타났다. 이는 Charlier(2011)의 MBA 교과목 대상으로 조사한 결과와 유사한 값이다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.144-150
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• 2015

• Informatization Policy
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• v.27 no.4
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• pp.47-66
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• 2020

The rapid development of artificial intelligence technologies such as machine learning and deep learning is expanding its impact in the public administrative and public policy sphere. This paper is an exploratory study on policy decision-making in the age of artificial intelligence to design automated configuration and operation through data analysis and algorithm development. The theoretical framework was composed of the types of policy problems according to the degree of problem structuring, and the success and failure cases were classified and analyzed to derive implications. In other words, when the problem structuring is more difficult than others, the greater the possibility of failure or side effects of decision-making using artificial intelligence. Also, concerns about the neutrality of the algorithm were presented. As a policy suggestion, a subcommittee was proposed in which experts in technical and social aspects play a professional role in establishing the AI promotion system in Korea. Although the subcommittee works independently, it suggests that it is necessary to establish governance in which the results of activities can be synthesized and integrated.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.12 no.2
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• pp.175-180
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• 2012

Currently datamining sector is interested and applied in many areas. In other words, datamining is predicting the future to discover hidden correlations and make decisions. To interpret data on various aspects can be converted to real expectation. Analyzing the results even a simple can be found big difference. The properties associated with breast cancer by about applying bayesian theory is used to predict the probability. In the past patient data, doctors may be obtaining by applying evidence-based care for patients with the results of examination and By using the the past patient data.

• Informatization Policy
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• v.28 no.3
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• pp.95-111
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• 2021

To achieve a data-driven policy decision-making system, the Ministry of Strategy and Finance has formed a marketing team and is actively building upon it. This system, currently under construction, will enable data-driven financial tasks beyond simple financial administration. The U.S. has already enacted The Foundations for Evidence-Based Policymaking Act in the process of similar pursuits. Since last year, the data-driven system administrative law has been enacted in Korea, and a legal framework has been established for data-driven administrative work. The next-generation budget accounting system to fulfill its role as a data-driven system needs public policy support to operate. Innovation and transformation are needed in various areas such as data management, legal system, and installation of related systems. Accordingly, it is very timely to analyze the financial systems and policies of advanced countries such as the U.S. and U.K., which already have established and operates such a financial system. By benchmarking and applying existing financial information systems to the next-generation budget accounting system, a better system will result. In this study, major developed countries, including the U.S., U.K., France, and Canada were benchmarked and analyzed in terms of the main elements of data governance: public policy, systems, legal framework, promotion system, and service level. It was discovered that the role and direction of the national fiscal policy system that the people favor should be able to respond quickly to the recent difficult economic crisis environment such as the digital transformation trend and COVID-19.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.11a
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• pp.695-698
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• 2014

본 논문은 AHP의사결정 기법의 계층적 분석과 자산 및 부실채권에 대한 예측 평가르 수행하는 프레임워크를 설계하고 위험탐지 분석 시나리오 등을 통해 상황변화에 따른 모니터링에서 수집된 자료를 수집, 분석할 수 있는 포렌식 준비도 모형을 제안한다. 제안하는 시스템은 기업에서 운영하고 있는 기존의 레거시 시스템과 연계하여 자산 및 부실예측평가 항목을 다양한 속성에 따라 그룹화하고 분석을 수행함으로써 기업의 자산과 리스크를 보다 효율적이고 안정적으로 관리할 수 있으며, 부실 자산에 대한 관리와 회수를 통해 기업 경쟁력 및 수익률을 향상시킬 수 있다. 또한 포렌식 준비도와 분석 모니터링을 활용하여 민사 및 형사 소송 등의 기업 간 분쟁에 대하여 수집된 증거자료를 제공할 수 있으며, 민원발생과 기타 사고를 예방하고 처리비용을 줄일 수 있다.

• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.798-809
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• 2020

Evidence-based policymaking and assessments for scientific administration have increased the importance of statistics (data) utilization. Statistics can explain specific phenomena by providing numerical values and are a public resource for national decision making. Due to these inherent attributes, statistics are utilized as baseline and base data for government policy determinations and the analysis of various phenomena. However, compared to the importance, the role of statistics is limited, and statistics are often used as simple abstracts, produced mainly for suppliers, not for consumers' perspectives to create value. This study explores the statistical data and other attributes that can be utilized for policies or research to address the problems mentioned above. The baseline statistical data used in this study is from the Maritime Distress Accident Statistical Yearbook published by the South Korean Coast Guard, and other additional attributes are from text analyses of vessel casualty situation reports from the South Korean Maritime Police. Collecting 56 attributes drawn from the text analysis and executing an EDA resulted in 88 attribute unions: 18 attribute unions had a satisfactory significance probability (p-value < .05) and a strong correlation coefficient above 0.7, and 70 attribute unions had a middle correlation. (over 0.4 and under 0.7). Additionally, to utilize the extra attributes discovered from the EDA politically, a keyword analysis for each detailed strategy of the disaster Preparation basic plan was executed, the utilization availability of the attributes was obtained using a matching process of keywords, and the EDA deducted attributes were examined.

• Journal of the Korean Data and Information Science Society
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• v.20 no.2
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• pp.329-338
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• 2009

The importance performance analysis is a simple and condensed analytic method for decision making based on the level of performance or satisfaction. Many researches already have witnessed usefulness of the importance performance analysis, but it also has some drawbacks from the statistical points of view. In this article, some additional techniques dealing the importance performance analysis are introduced and it is shown that these techniques would turn out to be very informative. The importance performance analysis uses the arithmetic average as the main statistic, but by the use of the median, the frequency and the cluster analysis it is shown that the importance performance analysis can be carried out with more crucial information. In addtion to that, it is demonstrated that the combination of the analytic hierarchy process and importance performance analysis could enable more reliable decision making.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.35-41
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• 2019

This study aims to analyze the cosmedical cosmetics market and the nature of customer through the social big data analysis. More than 80,000 posts were analyzed using R program. After data cleansing, keyword frequency analysis and association analysis were performed to understand customer needs and competitor positioning, formulated several implications for marketing strategy sophistication and implementation. Analysis results show that "prevention" is a new and essential attribute for appealing target customers. The expansion of the product line for the gift market is also suggested. It has been shown that there is a high correlation with products that can be complementary to each other. In addition to the traditional marketing technique, the social big data analysis based on evidence was useful in deriving the characteristics of the customers and the market that had not been identified before. Word2vec algorithm will be beneficial to find additional.

• Journal of The Korean Association For Science Education
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• v.38 no.5
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• pp.635-647
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• 2018

Motivated reasoning refers to biased reasoning that is affected by motivation to achieve a particular result or goal. In this study, we attempted a theoretical study on motivated reasoning that hinders the development of scientific thinking and empirical study on actual context of motivated reasoning in the research experiences of next-generation Korean researchers in the field of science and technology. To be specific, literature reviews were conducted to explore the psychological meaning of motivated reasoning and its negative impact on scientific thinking and science research. To understand the substantial meaning and context of motivated reasoning in the field of real science and technology research, we conducted in-depth interviews with eight graduate students and one young science and technology researcher. As a result of the literature reviews, we found out that motivated reasoning can interfere with the proper theory and data coordination, which is the core process of scientific thinking at the individual level. At the socio-cultural level, it can lead to cessation of constructing scientific knowledge and it can act as a mechanism in the process of using science for specific socio-cultural beliefs or purposes, thereby hindering the development of science and technology based on rationale and objective scientific thinking. Quantitative analysis with in-depth interview data showed that graduate students and the young researcher's experienced motivated reasoning results in trying to protect prior beliefs, make hasty conclusions, protecting socio-cultural belief or rationalizing decisions made by their community. Their motivated reasoning could become an obstacle in constructing valid science and technology knowledge through appropriate theory and evidence coordination. Based on these findings we discussed science education for improving scientific thinking.