• Journal of Biosystems Engineering
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• v.24 no.2
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• pp.167-178
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• 1999

In the path of agricultural development, agricultural mechanization has played some decisive roles such as protecting natural disaster, substitution of labor shortage in agricultural production and so on. In making our country's agricultural mechanization plan, Japanese agricultural mechanization policy has been frequently referred to but it's very hard to find informative data for systematic analysis of the mechanization policy. In this paper it was tried to analyze the resent trend in Japanese agricultural mechanization policy and it's performance with many materials published in Japan. As the results, four things are recommended to be considered in making Korean agricultural mechanization policy. First, faster enlargement of agricultural machinery size in Korea might be very harmful to drop down agricultural production cost. Second, diverse utilization methods of agricultural machniery should be introduced. Third, a marketing of the used agricultural machinery must be activated to reduce agricultural production cost. Lastly, the joint R & D for developing low price agricultural machniery is necessary for small markets.

• Asian Journal of Innovation and Policy
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• v.5 no.2
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• pp.197-207
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• 2016

This paper seeks to measure the monetary value of technical development in the deep seabed manganese nodule mining by applying the compound option model (COM). The COM is appropriate for the project in terms of its decision-making structure and embedded uncertainty. The estimation results show that the deep seabed mining project has more economic potential than shown by the previously obtained results from the discounted cash flow (DCF) analysis. In addition, it is reasonable to invest in the project taking the various uncertainty factors into consideration, because the ratio of the value to the cost of the project is far higher than one. This information can be utilized in national ocean policy decision-making.

• Health Policy and Management
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• v.22 no.4
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• pp.467-496
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• 2012

Public participation in the decision making for scarce health resources is important because health policy requires trust based consensus, which can be achieved by public's understanding and involvement of related policies. In the past, opportunities for interaction between health policy decision makers and lay public were rare in Korea. As political impulses towards public participation in health policy have increased, a few of deliberation methods were attempted. However, there is little research, reporting such cases with a critical examination of relevant theories and previous studies. We first critically review the literature on public participation within theories of democracy, governance, and empowerment. Next, we report a case of a citizen council experiment, which was held to examine public's preferences among different benefit options regarding new drugs and medical technologies. Specifically, in an one-day long citizen council with a total of 28 lay public, twelve questions of whether a drug or a technology should be included in the benefit package of health insurance were asked. Pre- and post-surveys investigated participants' perception of public engagement in health policy. Although it was experimental, the citizen council ensured that lay public could be careful enough to rationally compare the costs and benefits of different options and collectively make decisions. Further, results from pre- and post-survey showed a strong willingness of members to be involved in health care decision making. In the conclusion, we emphasize that better theories and methods need to be developed for more cases of citizen participation in health care policy and management.

• Journal of Environmental Policy
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• v.11 no.3
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• pp.3-24
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• 2012

Many ecosystems in Korea are currently managed by government organizations. Thus, public managers' decision-making has great influence on the management of ecosystems in Korea, and their decision-making could influence the matter of whether the ecosystems of Korea are managed effectively. This paper regards the goal of management of ecosystems as securing the sustainablilty of target ecosystems, and investigates public managers' decision-making and their psychological attitude on the management of ecosystems. Basically, managerial activities on ecosystems have uncertainties and usually public managers utilize the knowledge of law, science, intergovernmental relations, and local governance as their references for decision-making. To elucidate public managers' managerial decision-making on ecosystems, this paper adopts some psychological theories in explaining the judgment of human beings under uncertainties. Effective ecosystem management by public managers can be judged by how public managers adopt and utilize all of the above mentioned four kinds of knowledge on ecosystem management. An important factor in order to let them utilize the four kinds of knowledge is policy support. Therefore, as conclusion, this paper recommends some relevant policy measures that can support the ecosystem management of public managers.

• The Journal of Society for e-Business Studies
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• v.25 no.1
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• pp.109-121
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• 2020

The purpose of this study is to find out primary policies for reducing PM(particulate matter) as well as for improving the quality of life. Serious particulate matters cause to diverse healthcare and economy problems including business transactions. Unfortunately, until recently there are very few researches regarding the decision-making process for particulate matter policies. This study has applied the AHP(Analytic Hierarchy Process) method to develop cooperative policy making processes. The upper layer of this hierarchy analysis consists of four parts, i.e., transportation, production facility, living environment, and urban planning management. And each upper layer parts has their own three policies. 25 experts including policy-makers, academic researchers and industrial specialists have decided the primary policies and directions. The most significant PM policy is the mandatory reduction of air pollution and suspension of factory operation in the production industry. The results of this study can lead to guidelines for making environmental policies.

• Review of Culture and Economy
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• v.17 no.2
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• pp.103-135
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• 2014

This research dwells on the new paradigm of policy making of some innovative nations in Korean content industry. Especially this paper did evaluation of governmental policy in recent 5 years (2008~2012) in the field of Korean content industry. According to this research, the program of policy in Korean content industry had been obsessed to passive enrichment focusing on some part of content industry. The whole process of policy, scheme of policy and working flow of policy were very constrained in order to encourage more measurable area like CT(culture technology). Thus, we need new strong policy in this new government launched in 2013. The apparent keyword should be 'management'. New activity of policy need to focus on encourage Korean content industry in the real site of field, not in bureaucratic office in remote site. This change reflecting real filed management system would be productive innovation for policy making and activity in Korea.

• Journal of Information Technology Services
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• v.15 no.4
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• pp.85-95
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• 2016

Recently, deep learning and machine learning have attracted considerable attention and many supporting frameworks appeared. In artificial intelligence field, a large body of research is underway to apply the relevant knowledge for complex problem-solving, necessitating the application of various learning algorithms and training methods to artificial intelligence systems. In addition, there is a dearth of performance evaluation of decision making agents. The decision making agent that can find optimal solutions by using reinforcement learning methods designed through this research can collect raw pixel data observed from dynamic environments and make decisions by itself based on the data. The decision making agent uses convolutional neural networks to classify situations it confronts, and the data observed from the environment undergoes preprocessing before being used. This research represents how the convolutional neural networks and the decision making agent are configured, analyzes learning performance through a value-based algorithm and a policy-based algorithm : a Deep Q-Networks and a Policy Gradient, sets forth their differences and demonstrates how the convolutional neural networks affect entire learning performance when using pixel data. This research is expected to contribute to the improvement of artificial intelligence systems which can efficiently find optimal solutions by using features extracted from raw pixel data.

• Journal of Environmental Policy
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• v.7 no.4
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• pp.57-73
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• 2008

This short paper considers the situation where an environmental policy could play a source of an exogenous background risk at an individual's wealth and analyzes the effect of such a background risk on the individual's decision making in a simple chance-improving model. Our analysis shows that risks at initial wealth generated by an environmental policy could be regarded as an exogenous background risk in many cases and that such a risk makes a risk averse person behave more risk aversely in some restricted decision making situations. A policy maker considering an environmental policy which would affect individuals' initial wealth should take into account that the environmental policy could affect an individual's seemingly irrelevant economics decisions via his or her wealth.

• Industrial Engineering and Management Systems
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• v.12 no.4
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• pp.317-329
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• 2013

In recent years, for the purpose of solving the problem regarding environment protection and resource saving, certain measures and policies have been promoted to establish a green supply chains (GSC) with material flows from collection of used products to reuse of recycled parts in production of products. In this study, we propose an optimal operation of the GSC while considering the collection incentive of the used products and quality for recycling of used products. Two types of decision-making approaches are used for product quantity, collection incentive of used products and lower limit of quality level of reusable parts in the used products for recycling in the GSC. One is the decision-making under an independent policy in decentralized supply chains where a retailer and a manufacturer make decisions so as to maximize profits individually. The other is the decision-making under a cooperative policy in centralized supply chains where a retailer and a manufacturer make decisions cooperatively so as to maximize the whole system's profit. Additionally, we also discuss supply chain coordination as a manufacturer-retailer partnership based on profit sharing. Furthermore, we show the effect of the quality of the reusable parts on the optimal decisions. The collection incentive of the used products was found to bring more profitability to the GSC activity.

• The Journal of Industrial Distribution & Business
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• v.13 no.2
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• pp.17-31
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• 2022

Purpose: The purpose of this study is to analyze factors affected by the ICT utilization with perspectives of employees (Study 1) and customers (Study 2) that are rarely approached in previous studies. In particular, this study examined how proposed factors on ICT utilization affect employee satisfaction, organization performance, customer satisfaction, and purchasing decision making. Research design, data and methodology: This study conducted an online survey to measure the effects. Cronbach's alpha was applied to test reliability and factor analysis was applied to check validity. Multiple regression analysis and ANOVA were applied to test hypotheses. Results: The results of this study found that the effects of self-development and organizational innovation on employee satisfaction were significant for study 1, while the effects of product satisfaction, promotional offers, and customer communication on purchase decision making were significant for study 2. Conclusions:This study provides managerial and policy implications. At the management level, it is necessary to make specific strategies to improve employee and customer satisfaction and organization performance associated with the utilization of ICT. The results of this study suggest that better policy should be prepared by government to foster utilization of ICT infrastructure and to enhance better relationships with employees and customers.