• Journal of Science and Technology Studies
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• v.15 no.1
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• pp.69-107
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• 2015

In this article, I try to understand the changing patterns of 'politics of expertise' by looking at the change of the citizens' opinion on '4 Rivers Project', particularly the change of citizens' trust in expert, through data analysis on 'Citizen Opinion Survey on Science and Technology'. Findings are as follows: The reliability of government and the pros side experts downed, on the other hand, the reliability of the opposite side experts and environmental groups have maintained or slightly increased. This shows the fact that '4 Rivers Project' is the field of political confrontation surrounding the expertise. The government decision-making process on '4 Rivers Project' can be examined from the perspective of 'the politics of expertise', in the sense that the process is related to the utilization of scientific and technological expertise-power surrounding the project feasibility. The facts that citizens are interested in scientific-technological and ecological issues which are largely affected by expertise, and they think that the 4 Rivers Project affects the their daily lives, are the result of rising 'scientific-technological citizenship'.

• Journal of Digital Convergence
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• v.18 no.2
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• pp.23-35
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• 2020

Mobile Money is a key factor of financial inclusion that can revolutionize the financial service delivery and hence enhance access to finance in emerging economies, especially the East African countries. This study therefore aims to study the determinants of individual's behavioral intention and usage of Mobile Money services in Ethiopia by usiing the UTAUT2 model. The research model was tested by sampling 200 respondents from different areas of Ethiopia. The analysis results found that Government Support, Facilitating Conditions, Performance Expectancy, Trust and Effort Expectancy are the key factors that affect the usage of Mobile Money service, while Lower Transaction Cost factors and Social Influence were not statistically significant. The findings provide useful information that only government's active efforts and support to promote mobile money services, through appropriate policies and regulations rather than lower transaction cost, can facilitate the adoption and dissemination of such services in Ethiopia.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.264-272
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• 2020

This study focused on the reality that the necessity to professionalize women marriage immigrants is increasing. The purpose of this study is to analyze the determinants of rural female marriage immigrants' entry into the specialized field. The factors are categorized into social and institutional factors. Based on the labor market segmentation theory, which finds the imbalance of the labor market in terms of institutional and structural factors, factors affecting rural female marriage immigrants entering managerial or professional occupations were set as social relation factors, cultural adaptation factors, and policy support experience factors. As a result of analysis, they are all found to have a statistically significant effect on rural female marriage immigrants entering managerial or professional occupations. The policy implications are that for rural immigrant women to grow into professionals, social relations and cultural learning capabilities, including language skills, need to be strengthened, as well as continued governmental support.

• Korean Journal of Social Welfare
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• v.67 no.4
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• pp.5-29
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• 2015

Intergenerational relations in Korea show very unique characteristics. In political arena, young and old generations clash each other intensely, while they maintain a high level of intergenerational solidarity in policy realm. A logistic regression analysis reveals that generational cleavage plays a key role in affecting voting decision and evaluation of governmental performance. It also suggests that in policy realm, normative, functional, and affectional types of solidarity influence people's attitudes on social policies very strongly. If the current government continues to neglect its promises for expanding welfare, the dual structure of generational cleavage in political arena and intergenerational solidarity in social policy realm can soon be turned into a conflictual structure. Therefore, an active initiative to increase intergenerational justice should be taken in order to attain a long-term, sustainable intergenerational solidarity and coexistence.

• Journal of Korean Society of Transportation
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• v.35 no.4
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• pp.360-373
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• 2017

The BTO-a projects is the types, which has a demand risk among the type of PPP projects in Korea. When demand risk is realized, private investor encounters financial difficulties due to lower revenue than its expectation and the government may also have a problem in stable infrastructure operation. In this regards, the government has applied various risk sharing policies in response to demand risk. However, the amount of government's risk sharing is the government's contingent liabilities as a result of demand uncertainty, and it fails to be quantified by the conventional NPV method of expressing in the text of the concession agreement. The purpose of this study is to estimate the value of investment risk sharing by the government considering the demand risk in the profit sharing system (BTO-a) introduced in 2015 as one of the demand risk sharing policy. The investment risk sharing will take the form of options in finance. Private investors have the right to claim subsidies from the government when their revenue declines, while the government has the obligation to pay subsidies under certain conditions. In this study, we have established a methodology for estimating the value of investment risk sharing by using the Black - Scholes option pricing model and examined the appropriateness of the results through case studies. As a result of the analysis, the value of investment risk sharing is estimated to be 12 billion won, which is about 4% of the investment cost of the private investment. In other words, it can be seen that the government will invest 12 billion won in financial support by sharing the investment risk. The option value when assuming the traffic volume risk as a random variable from the case studies is derived as an average of 12.2 billion won and a standard deviation of 3.67 billion won. As a result of the cumulative distribution, the option value of the 90% probability interval will be determined within the range of 6.9 to 18.8 billion won. The method proposed in this study is expected to help government and private investors understand the better risk analysis and economic value of better for investment risk sharing under the uncertainty of future demand.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.75-87
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• 2016

This study examines the impact of government funds to venture capital on investment in early-stage firms. We provide novel explanations about this relationship focusing on mechanisms by which government funds influence the perceived uncertainty, decision about investment priority, scale economy of investment, information asymmetry in investment decision, and capital expense. We argue that venture capital's investment in early-stage firms increases as government funds increase and as government funds are explicitly directed for early-stage firms. However, we further claim that the impact of government funds on early-stage investment will be decreasing as their size increases and finally be reverted to negative impact beyond a certain amount of funds to show inverse-U relationship. Our empirical examination using data from 105 Korean venture firms active as of 2013 consistently supports the claims. This study contributes to the venture capital literature by providing novel arguments about mechanisms and effects of policy intervention in venture capital. In practice, we expect our results will provide an opportunity for relevant policy makers to review their venture support policy based on empirical evidences for policy effects.

• Food Science and Industry
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• v.51 no.3
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• pp.174-184
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• 2018

The impact of regulations on industrial activities is significant. Because the food industry has to observe given obligations and bear costs and expenses resulted from complying with applicable food safety regulations. Meanwhile, A government drafts the regulatory impact analysis report prior to enactment, amendment or reinforcement of any regulations. The analysis powered by objective and scientific methodologies enable a government to judge whether a particular regulation will be good or bad for the society. An effective policy implementation in practice and cost-bearing is entirely up to industries. Moreover, opportunity cost and actual cost relating to or arising from regulatory compliance will be estimated only by the respective industries. Therefore, the food Industry needs to collect and accumulate the said information and also to disseminate their hardships and financial burdens. Objective and practical information will encourage a government to set out regulatory frameworks that rational policy making.

• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.41-53
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• 2019

As the paradigm of healthcare shifts from the center of treatment to the center of prevention, products and services related to disease prevention are emerging at domestic and abroad. The government considers the smart healthcare industry as a solution to healthcare problems such as an increase in the number of chronic illnesses and an increase in the burden of medical expenses. The purpose of this study is to explore the factors affecting the use of smart healthcare products and services focusing on Health Literacy and health related personal characteristics and to provide policy implications. The subjects of the questionnaire are 1,027 adults over 20 in the nation, and conducted an online survey. In addition, the factors were analyzed by decision tree method. As a result, most of the respondents(76.9%) did not have experience using Smart Healthcare products and services. However, in the Health Literacy question, there was a difference in use experience depending on the degree of difficulty in using the mass media information. Other factors were the degree of intention to use new technology, the understanding of counseling about family members and friends, and health checkups. In order to enable self-healthcare through smart healthcare products and services, the ability of consumers to explore and utilize health information from the mass media should be improved. In addition, government and enterprise efforts are needed to achieve this.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.444-444
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• 2021

하천의 오염부하량 관리 계획은 지속적인 모니터링을 통한 자료 구축과 모형을 이용한 예측결과를 기반으로 수립된다. 하천의 모니터링과 예측 분석은 많은 예산과 인력 등이 필요하나, 정부의 담당 공무원 수는 극히 부족한 상황이 일반적이다. 이에 정부는 전문가에게 관련 용역을 의뢰하지만, 한국과 같이 지형이 복잡한 지역에서의 오염부하량 배출 특성은 각각 다르게 나타나기 때문에 많은 예산 소모가 발생 된다. 이를 개선하고자, 본 연구는 합성곱 신경망 (convolution neural network)과 수문학적 이미지 (hydrological image)를 이용하여 강우 발생시 BOD 및 총인의 부하량 예측 모형을 개발하였다. 합성곱 신경망의 입력자료는 일반적으로 RGB (red, green, bule) 사진을 이용하는데, 이를 그래도 오염부하량 예측에 활용하는 것은 경험적 모형의 전제(독립변수와 종속변수의 관계)를 무너뜨리는 결과를 초래할 수 있다. 이에, 본 연구에서는 오염부하량이 수문학적 조건과 토지이용 등의 변수에 의해 결정된다는 인과관계를 만족시키고자 수문학적 속성이 내재된 수문학적 이미지를 합성곱 신경망의 훈련자료로 사용하였다. 수문학적 이미지는 임의의 유역에 대해 2차원 공간에서 무차원의 수문학적 속성을 갖는 grid의 집합으로 정의되는데, 여기서 각 grid의 수문학적 속성은 SCS 토양보존국(soil conservation service, SCS)에서 발표한 수문학적 토양피복형수 (curve number, CN)를 이용하여 산출한다. 합성곱 신경망의 구조는 2개의 Convolution Layer와 1개의 Pulling Layer가 5회 반복하는 구조로 설정하고, 1개의 Flatten Layer, 3개의 Dense Layer, 1개의 Batch Normalization Layer를 배열하고, 마지막으로 1개의 Dense Layer가 연결되는 구조로 설계하였다. 이와 함께, 각 층의 활성화 함수는 정규화 선형함수 (ReLu)로, 마지막 Dense Layer의 활성화 함수는 연속변수가 도출될 수 있도록 회귀모형에서 자주 사용되는 Linear 함수로 설정하였다. 연구의 대상지역은 경기도 가평군 조종천 유역으로 선정하였고, 연구기간은 2010년 1월 1일부터 2019년 12월 31일까지로, 2010년부터 2016년까지의 자료는 모형의 학습에, 2017년부터 2019년까지의 자료는 모형의 성능평가에 활용하였다. 모형의 예측 성능은 모형효율계수 (NSE), 평균제곱근오차(RMSE) 및 평균절대백분율오차(MAPE)를 이용하여 평가하였다. 그 결과, BOD 부하량에 대한 NSE는 0.9, RMSE는 1031.1 kg/day, MAPE는 11.5%로 나타났으며, 총인 부하량에 대한 NSE는 0.9, RMSE는 53.6 kg/day, MAPE는 17.9%로 나타나 본 연구의 모형은 우수(good)한 것으로 판단하였다. 이에, 본 연구의 모형은 일반 ANN 모형을 이용한 선행연구와는 달리 2차원 공간정보를 반영하여 오염부하량 모의가 가능했으며, 제한적인 입력자료를 이용하여 간편한 모델링이 가능하다는 장점을 나타냈다. 이를 통해 정부의 물관리 정책을 위한 의사결정 및 부족한 물관리 분야의 행정력에 도움이 될 것으로 생각된다.

• The Journal of Society for e-Business Studies
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• v.8 no.4
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• pp.223-238
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• 2003

This paper presents GDOCF(Government Document Enterprise Architecture Framework) based on the direction of EA(Enterprise Architecture) framework to build GDOCEA. The construction of EA for GDOC offered various types of information technology Platform which advanced the interoperability between Government Information Systems. In addition, it insured the interoperability between the e-Government Initiatives and helped a consistent management for information resource. As a result, MOGAHA could support a policy decision and capital investment plan for information. Also, all the information needed for the operation and management of GDOC has been being referenced, shared and utilized as EA repository. Eventually Pilot EA would be a corner stone to build EA master plan considering all the information systems in MOGAHA.