• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.191-202
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• 2023

This study aims to propose a framework for evaluating the impact of artificial intelligence (AI) services, based on the concept of AI service impact. It also suggests a model for evaluating this impact and identifies relevant factors and measurement approaches for each item of the model. The study classifies the impact of AI services into five categories: ethics, safety and reliability, compliance, user rights, and environmental friendliness. It discusses these five categories from a broad perspective and provides 21 detailed factors for evaluating each category. In terms of ethics, the study introduces three additional factors-accessibility, openness, and fairness-to the ten items initially developed by KISDI. In the safety and reliability category, the study excludes factors such as dependability, policy, compliance, and awareness improvement as they can be better addressed from a technical perspective. The compliance category includes factors such as human rights protection, privacy protection, non-infringement, publicness, accountability, safety, transparency, policy compliance, and explainability.For the user rights category, the study excludes factors such as publicness, data management, policy compliance, awareness improvement, recoverability, openness, and accuracy. The environmental friendliness category encompasses diversity, publicness, dependability, transparency, awareness improvement, recoverability, and openness.This study lays the foundation for further related research and contributes to the establishment of relevant policies by establishing a model for evaluating the impact of AI services. Future research is required to assess the validity of the developed indicators and provide specific evaluation items for practical use, based on expert evaluations.

• New & Renewable Energy
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• v.20 no.1
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• pp.61-69
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• 2024

This study investigates the barriers to the deployment of solar thermal and ground source heat pump (GSHP) from the perspective of consumers and businesses, as well as evaluates priorities for improving the barriers via expert AHP evaluation. From a consumer's perspective, the overall satisfaction with solar thermal is significantly lower than that with PV and needs to be improved at the installation and use stages. GSHP needs to be improved at the prior-information search stage. From a business perspective, the non-distinction between heat and electricity in mandatory installations in public buildings, the difficulty in assessing the value of heat, and high initial costs impede the deployment. Based on the result of AHP analysis, the priorities for improving the barriers to the wide utilization of solar thermal are evaluated in the order of economic feasibility, policy, acceptability, and technology, where high installation cost is shown to be the greatest barrier. Barriers for GSHP are evaluated in the order of policy, acceptability, economic feasibility, and technology, where policy means improvement is evaluated as the most important factor in promoting the deployment of GSHP.

• Journal of Korea Game Society
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• v.14 no.1
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• pp.69-80
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• 2014

The government enacted shutdown policy in the fall of 2011 to prevent game addition of youth. Now shut down policy has been implemented about 3 years. We surveyed gamers' and non-gamers' perception about shut down system in 3 years. So this article tried to analysis the perception change of gamers and non-gamers about shut down policy. In result of this analysis, the evaluations of shutdown policy has decreased. Both gamer and non-gamer have the thought against the shot down policy. Among 2011-2012, non-gamer's perception on shut down policy had not changed much. But among 2012-2013, non-gamers' perception as well as gamer's perception has changed against shut down policy. This result showed that we should re-consider the effect and necessity of the shut down policy and whether the government should maintain the shut down policy.

• 한국사회정책
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• v.23 no.3
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• pp.1-15
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• 2016

This article aims to find Karl Marx's views on the social policy and to reorganize them into a systematic social policy theory. His views on the welfare state are scattered in diverse works including Capital and Communist Manifesto, and are very complicated and sometimes contradictory. This article further aims to reinterpret his contradictory views on social policy and to attempt to show what he really meant on social policy. By so doing, this article will contribute to re-establishing Karl Marx's status in the field of social policy study. Karl Marx's social policy theory is one of the least researched area in social policy, although several Western scholars introduce and evaluate his views on the welfare state in social policy textbooks and articles. In particular, it is very difficult to find a work attempting to reorganize and reinterpret Karl Marx's contradictory views on social policy. In this regard, this article deserves a significant academic concern.

• Journal of Korea Technology Innovation Society
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• v.4 no.3
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• pp.275-290
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• 2001

The frameworks for evaluation of national R&D programs reflect their various political and administrative cultures(Gibbons & Georghiou, 1987), and the structure of national R&D system. In this research the core research questions are : what is god evaluation\ulcorner What is being evaluated, by whom, by which criteria, for whom and what purpose\ulcorner In order to examine these general aims and answer these questions, in detail several objectives can be proposed on the process of this research. In this research, the national R&D programs will be considered in terms of the interface between evaluation and the wider policy-making process. The programs for case study are the Alvey program(UK), the Advanced Technology Program (US) and the Framework program(EU) . One of the characteristics of these programs is the well established evaluation systems they have. From the comparative analysis, we can withdraw some useful implication for Korean evaluation practice for national R&D programs. Evaluation system is social process and the way in which it is organized is critical to its outcome.

• Journal of Korea Technology Innovation Society
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• v.10 no.1
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• pp.121-142
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• 2007

The purpose of this study is to construct the evaluation model for the major science research facilities and equipments to enhance the competitiveness of the science and technology and also to test the reliability and validity of the model. To achieve the purposes, this study theoretically reviews the concept of the major science research facilities and equipments and their characteristics. Through a review of literature, this study draws 11 criteria for evaluating the priorities of the major science research facilities and equipments. These criteria are categorized as two dimensions - 'science & technology' and 'national policy'. The dimension of science & technology includes scientific importance, technological readiness, utilization rate, common utilization rate, and ability of management and operation. The national policy dimension contains degree of correspondence with national science development, imperativeness of national policy, science and technical effectiveness, economic and industrial effectiveness, responsiveness of research demand, and equity among the related institutions. The competitiveness of the science and technology consists of these two dimensions. The evaluation model is established on the framework of criteria. The 18 major science research facilities and equipments are selected through a series of Delphi. The survey of experts (BT, ET, IT, NT and ST) is also implemented to evaluate the 18 major science research facilities and equipments by 11 criteria. The overall results indicate that the reliability and validity of the model are good. The reliability tests show that the five indicators of science & technology and the six indicators of national policy have high internal consistencies. The confirmatory factor analyses reveal that the two constructs - 'science & technology' and 'national policy' - have high convergent and discriminant validity. The correlational analyses also show that the criteria-related validity between them is high. Furthermore, the results of higher order factor analysis indicate that the fit indices of the model are high and suggest a good fit to the data. Based on these findings, the policy implications of the model are discussed.

• Journal of the Korean association of regional geographers
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• v.4 no.2
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• pp.79-94
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• 1998

This study begins with emphasis on the approach to public policy development and the extent to which a GIS framework can be used to evaluate projects objectively. This paper relates to public policy making and the use of GIS as a strategic management tool rather than the development of GIS technologies which has been the focus of attention since the advent of the first generation GIS systems in the 1960s. In order to consolidate a view towards public policy, the aim of this study is to show the advantages of using GIS to generate results which could be evaluated by cost and benefit analysis giving options of the alternative methods to estimate the feasibility of projects (both tangible and intangible) in a real public policy scenario. This study also reports that the tangible benefits associated with the GIS projects are better information processing, the easy analysis of data and the cost savings of map updates and printing, whilst the intangible benefits include quality decision making, and precise management of data through computing networks. In GIS context, the task of analysing and evaluating GIS projects is assumed in order to facilitate scientific and quantitative cost-benefit analysis. Previous methods of the cost-benefit analysis has not fully supported the evaluation of the intangible benefits and it has not been possible to make public policy realistic or scientifically understandable limiting decision makers in public domain. With the GIS decision makers are able to explore the potential of projects with this powerful decision supporting tool in practical application. On the basis of its potentials and limitations to cost-benefit analysis, therefore, it can be concluded that more flexible analysis and evaluation methodologies are needed to extend into the intangible benefits. In order to balance the evaluation of both quantitative and qualitative approaches on the cost-benefit analysis new or additional utilities will be required for the next GIS generation appraisal tool.

• Health Policy and Management
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• v.11 no.3
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• pp.102-120
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• 2001

This paper examines the current situation and major impacts of e-business on healthcare industry: hospital, pharmaceutical, medical device and health-related internet sectors. Of the 137 samples collected with mail survey, the utilization rate of B2C e-commerce is 31.4% and B2B is 13.1%. And 74.5% of respondents remains the first development stage which represents the simple advertisement such as the one-way information offering. The key obstacle of expansion of health care e-commerce turns out to be the illogical and outdated medical-related law and institution. Finally, policy recommendations are proposed based on the evaluation of the current policy implemented by government.

• The Journal of Korea Robotics Society
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• v.15 no.4
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• pp.398-403
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• 2020

Robot's throwing control is difficult to accurately calculate because of air resistance and rotational inertia, etc. This complexity can be solved by using machine learning. Reinforcement learning using reward function puts limit on adapting to new environment for robots. Therefore, this paper applied deep reinforcement learning using neural network without reward function. Throwing is evaluated as a success or failure. AI network learns by taking the target position and control policy as input and yielding the evaluation as output. Then, the task is carried out by predicting the success probability according to the target location and control policy and searching the policy with the highest probability. Repeating this task can result in performance improvements as data accumulates. And this model can even predict tasks that were not previously attempted which means it is an universally applicable learning model for any new environment. According to the data results from 520 experiments, this learning model guarantees 75% success rate.

• Environmental Analysis Health and Toxicology
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• v.30 no.sup
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• pp.2.1-2.11
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• 2015

Objectives This study presents a methodology that enables a quantitative assessment of green chemistry technologies. Methods The study carries out a quantitative evaluation of a particular case of material reutilization by calculating the level of "greenness" i.e., the level of compliance with the principles of green chemistry that was achieved by implementing a green chemistry technology. Results The results indicate that the greenness level was enhanced by 42% compared to the pre-improvement level, thus demonstrating the economic feasibility of green chemistry. Conclusions The assessment technique established in this study will serve as a useful reference for setting the direction of industry-level and government-level technological R&D and for evaluating newly developed technologies, which can greatly contribute toward gaining a competitive advantage in the global market.