• Informatization Policy
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• v.26 no.3
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• pp.3-35
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• 2019

In the fourth industrial revolution age, because of advance in the intelligence information technologies, the various roles of AI have attracted public attention. Starting with Google's Alphago, AI is now no longer a fantasized technology but a real one that can bring ripple effect in entire society. Already, AI has performed well in the medical service, legal service, and the private sector's business decision making. This study conducted an exploratory analysis on the possibilities and issues of AI-driven policy decision making in the public sector. The three research purposes are i) could AI make a policy decision in public sector?; ii) how different is AI-driven policy decision making compared to the existing methods of decision making?; and iii) what issues would be revealed by AI's policy decision making? AI-driven policy decision making is differentiated from the traditional ways of decision making in that the former is represented by rationality based on sufficient amount of information and alternatives, increased transparency and trust, more objective views for policy issues, and faster decision making process. However, there are several controversial issues regarding superiority of AI, ethics, accountability, changes in democracy, substitution of human labor in the public sector, and data usage problems for AI. Since the adoption of AI for policy decision making will be soon realized, it is necessary to take an integrative approach, considering both the positive and adverse effects, to minimize social impact.

• Journal of Technology Innovation
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• v.24 no.4
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• pp.159-191
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• 2016

In order to deal with uncertainty and conflicting interests in technological risk policy-making, various participatory decision-making models have been practiced. This participatory approach is an alterative to the traditional process of science and technology policy-making where scientific experts provide evidence and government officials make decisions. However, there still remain different opinions on who should play what kind of role in decision-making process. Therefore this paper examines the division of labour in the public deliberations for radioactive waste management policy carried out in the UK and Korea. It discusses the ways in which various actors are defined, and the rationales are employed for allocating actors to certain roles and participatory methods. In so doing, this paper unfolds the ways in which the participatory decision-making process for risk governance is delivered in real policy context. Similarities and differences revealed in the division of labour of two cases contribute to development of radioactive waste management policy and the policy instruments for risk governance.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.335-344
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• 2020

This study was a descriptive research study to identify of awareness about pandemic influenza, ethical awareness, and ethical decision-making in the situation of COVID-19 pandemic. The subjects were 194 nursing students in H and Y city. Data collected from May 1 to June 20, 2020 and analyzed using the SPSS 24.0 program. The subject's awareness about pandemic influenza was moderate, and ethical awareness and ethical decision-making were high. Ethics awareness and ethical decision-making levels were higher for those who had a history of infection with new type of infectious disease than those who did not. Awareness about pandemic influenza is positively correlated with ethical awareness(r=.291, p<.001) and ethical decision-making related to pandemic influenza(r=.143, p=.046), ethical awareness is a positive correlation with ethical decision-making(r=.274, p<.001). Based on result, propose the development of an educational program to make correct ethical decisions in the social disaster caused by infectious diseases for nursing students.

• The Journal of Industrial Distribution & Business
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• v.11 no.10
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• pp.7-16
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• 2020

Purpose: It suggests that making a policy and strategies in a way of AI and its impact of commercialization on economic efficiency, social custom ethics. Research design, data, and methodology: The paper has analyzed the data based on the proposed model when derived as AI vs. FI job, etc. It is very different for each professional evaluation, which is artificial intelligence or robot job. One concept case was selected as a substitute job, with a relatively low level of occupation ability, such as direct labors, easily replaced. By the induction data has resulted in modeling. Results: The paper suggests that AI at high level become something how to make real decisions on ethical value modeling. Through physical simulation with the deduction data, it can be tuned to design and control what has not been solved, from human senses to climate. Conclusion: For the exploiting of new AI decision-making jobs in markets, the deduction data is possible to prove to AI's Decision-making that the percentage who can easily have different leadership as is different for each person. what is generated by some information silos may be applied to occupation societies. The empirical results indicate the deduction data that if AI determines ethical decisions (VC) for that modifications, it may replace future jobs.

• Journal of Korean Academy of Nursing Administration
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• v.7 no.2
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• pp.253-263
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• 2001

Purpose : To determine the change of effects of nursing ethics education on the nurses' ethical decision making with the time relapse of one month, three months and six months. Method : Thirteen participated in free discussion group, and fourteen participated in expert-guided discussion group for five weeks. Two weeks before the education, DIT and JAND were assessed, and JAND was assessed again on month, three months and six months after the five weeks' education program. Results : 1) Average realistic scores of JAND did not showed significant differences as times went by. However, scores were highest at three months after the education in general. 2) In both of free discussion and expert-guided discussion group, JAND score increased after the education, and highest at three months in general. 3) Low level moral development group showed highest scores at one month after the education, and declined at three month. However, in middle and high level of moral development groups, scores were higher at three months than at one month after the education. Scores were declined again at six months after the education. Conclusion : Effects of moral education program were highest at three months after the education, and were lessened as times went by. Especially for the low moral development group, effect was not continued more than one month. Therefore, more persistent, periodic education program was required until the ability of ethical decision making is settled down.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.55-64
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• 2020

This research empirically explores the relationship between types of performance information use, decision making behaviors and performance of government organizations. We measured two types of using performance information, relevance of performance index, variety of performance information, and levels of manager intervention by surveying performance managers of each government ministry or agency and also measured performance by using performance reports. The results of fuzzy-set qualitative comparative analysis suggest that hard use and soft use have impact on performance by combining with characteristics of performance information and managers decision-making by intervening performance management processes.

• Journal of Korean Society of Rural Planning
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• v.28 no.4
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• pp.1-9
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• 2022

Rural decline due to the decrease of the local population is an inevitable phenomenon, and a vicious cycle has been formed between a lack of basic living services and a population decrease in rural areas. Therefore, the study aims to derive the migration decision-making characteristics based on basic living service infrastructure data in rural areas. To do this, the population change over the past 20 years was categorized into six types, and the relationship between the classified population change types and the number of basic living service infrastructures was analyzed using decision tree analysis. Of the total 3,501 regions, 801 regions were the continuous decline type, of which 740 were rural areas. On the other hand, among 569 regions that were the continuous increase type, 401 regions were urban areas, confirming the population imbalance between rural and urban areas. As a result of the decision tree analysis on the relationship between population change types and the distribution of basic living service infrastructure, the number of daycare centers was derived as an important variable to classify the continuous increase type. Hospitals, parks, and public transportation were also found to be major basic living services affecting the classification of population change types.

• Journal of Convergence for Information Technology
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• v.8 no.1
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• pp.275-280
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• 2018

Companies are now rapidly entering the realm of the realtime economy named 'Now Economy'. 'Now Economy' features the measurement and assessment, accelerating speed of decision making about business. According to this, companies intend to change their disposition to be able to make quick and accurate decision by gathering informations rapidly and correctly, and then by processing that. Applications of ICT can be possible to change the new decision system of companies. In this thesis, the new decision system through amalgamations of BPMS, Mobile, Cloud Service, Hadoop, BI and AI is presented. It will be able to make decision quickly and accurately by collecting all information between the most efficiently managed process and formal and informal data inside company through this, and then by combining changes with situations outside company.

• Journal of the Korea Safety Management & Science
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• v.17 no.2
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• pp.207-214
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• 2015

The purpose of this paper is an application of AHP(Analytic Hierarchy Process) in the priority setting of promising technology in division of senior friendly product based on the previous studies. In this paper, the decision criteria for evaluating promising technologies in division of senior friendly product are identified and the hierarchical structure of decision making process is developed systematically. Subsequently the values of weights for relative importance among decision criteria are derived using AHP methodology, and the score of importance of promising technology in division of senior friendly product with respect to each criterion is evaluated. Finally the score of each promising technology in division of senior friendly product is quantified in order to prioritize them. We discuss implications of our results with a viewpoint of technology policy in division of senior friendly product.

• Information Systems Review
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• v.9 no.3
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• pp.45-65
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• 2007

As digital economy era and knowledge society advent, division of the industry has been indistinctive and complex. This change of business environment has leaded todifficulty in operations of firms consisted of continuous decision making. To develop effective SDSS needs systematic strategic decision making process, efficient problem solving techniques, information of good quality, efficiently information system, and analysis ability of problem solver. This research develop SDSS framework combined strategic decision making process with various problem solving techniques for designing SDSS. Finally, this paper developed the technique recommendation system by selected the criterions of technique assortment.