• Journal of Korea Game Society
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• v.21 no.2
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• pp.67-78
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• 2021

Since the release of and in 2017, business models for collection mobile games have been changing. Collection Mobile games are composed mainly of characters, and the business model is also highly related to user preference factors. The Delphi method and the AHP analysis were used on ten experts in each field of game production to identify preference factors, and five collection mobile games were selected for business model analysis. The result shows that 'moe' characters are a major preference factor, and accordingly, business models are also changing to focus on the completion of character collection and products such as character skins.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.1023-1028
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• 2007

It is the most important thing of the overall VE that we create inventive ideas from idea phase in the design VE. However, it is hard that it take a long time and create a superior idea using Brainstorming. And, it was real to lodge an alternative plan proposed on the idea thinking phase, it is true that an alternative plan of existing simply costdown apply to a change and insert isn't different from an inventive idea deduction. Also creating alternative idea, many expert hold on to only his field and it was exposed a limit depend on a team's experience or intuition than technical solution. In this study, we analyzed the problem of the present design VE processing and analyzed the problem through a survey to an expert, and then we'll suggest a possibility for an efficient design VE.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2351-2357
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• 2013

An index was developed for analyzing the promising countries for seawater desalination plant and related data sets were collected and analyzed. Each indicators was standardized by scale readjustment method and Delphi method was used to calculate the weights for indicators from questionnaire survey by experts in seawater desalination plant field. Twenty three indicators were selected and they were classified into three groups, economic, social, and environmental indicator groups. Eleven countries (Saudi Arabia, UAE, Kuwait, Iran, Qatar, China, Singapore, India, Algeria, Turkey, United States) were selected considering present data availability and index for each country was calculated. The results show United States and China took the first (0.537) and second (0.490) place for the most promising country for seawater desalination plant. However it will not be easy to play a significant role in the markets because of present seawater desalination technology level and national policy, etc. Saudi Arabia took the third (0.329) place and other countries which has more than 0.2 index value can be considered as a promising countries for seawater desalination plant. We can establish a strategy to export our seawater desalination technology and plant using the result of this study. The developed index can be applied to other countries, which were not included in this study, when their data is available.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.873-879
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• 2022

In the future, AI and the metaverse are becoming so powerful that their application areas and influences are swallowing up the world. The advertising field is no exception, and it is becoming more important to predict, analyze, and strategize these future changes. In order to study the future change of advertising according to the development of artificial intelligence and metaverse, literature research related to the development of artificial intelligence and metaverse technology and the resulting change in the advertising environment, in-depth interviews with future and advertising experts, and Delphi technique research method I want to study change. First, through this study, we would like to examine the opinions of experts through in-depth interviews on the development of artificial intelligence and metaverse technology and the changes in the advertising sector in the post-coronavirus era of civilizational transformation. In addition, the Delphi technique is used to determine how important the change is by future advertising technology area, future advertising media area, future advertising form area, future advertising effect area, future advertising application area, and future advertising process area, and at what point in the future it will change. In addition, we want to study how the future advertising form will change in detail. Also, based on this, we would like to propose a countermeasure for the advertising industry.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.203-211
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• 2022

This study is to examine the causes of research misconduct such as plagiarism, forgery, redundant publication, unfair author expression, and incapacitation of the research ethics system of university researchers and to suggest improvement plan. It basically relied on literature research. In order to supplement the deficiencies in literature research, I sought advice from an expert professor who had experience working in a research-related field in university or who is currently in a position related to research ethics through the delphi-method. As a result of the study, from the perspective of individual researchers, the complacent attitude, dishonesty, and greed for research funds were identified as the main reasons. In terms of organization, it was analyzed for reasons such as lack of detail and application of regulations, lack of verification system, and performance-oriented research environment. In order to overcome research misconduct caused by the researcher's personal reasons, regularization, increase in the number of research ethics education, and strengthening personal penalties were suggested. As a way to overcome irregularities arising from institutional reasons, the reinforcement of the verification system, the reinforcement of the whistle-blower's personal protection system, the omission of promotion, and the quality and quantitative balance of research evaluation was suggested.

• Journal of the military operations research society of Korea
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• v.33 no.2
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• pp.75-86
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• 2007

This paper presents the overall valuation framework of the Army Tactical Command Information System(ATCIS) with its empirical data which is developed by the ROK Army in 2005 with its own R&D efforts over the past 10 years. The valuation with the appropriate methods is conducted through the full and relentless support of ROK Army HQs, defense agencies, and related firms. And the results include both qualitative and quantitative values of the ATCIS in perspectives of economic, technical, and defense strength effects. As a result, the development of ATCIS is valued over 1.7291 trillion Won which is over 6.55 times benefit and cost ratio comparing with other country's similar system. The worth of this paper includes the actual framework and methods to apply the valuation of other weapon systems and its preliminary research, defense offset valuation, performance evaluation and others.

• Journal of Korea Technology Innovation Society
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• v.20 no.1
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• pp.34-61
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• 2017

The objective of this study is to assess the capability of meteorological technology in Korea, the United States, Japan, and the United Kingdom as of 2015 and compare them with the previous values for Korea, the United States, and Japan. For the comparison, the indicators and weights for the assessment similar to those used in previous studies are used and Gordon's rating model is applied here to evaluate the indicators and conduct a survey of weather experts. The survey was administered to 200 of experts in meteorology using the Delphi method. More specifically, we investigate four categories of observation, data processing, forecast, and climate. The overall results show that the United Kingdom has the highest capability of meteorological technology among the four countries. With the result of indicator evaluation on this study the United Kingdom has the highest capability of meteorological technologies compared with Korea, the United States, and Japan. The capability of meteorological technology in Korea is 88.5% of the United Kingdom, 89.9% of Japan, and 90.6% of the United States. The countries in order of score on survey evaluation are the United States, the United Kingdom, Japan, and Korea. Through the result of survey evaluation, the level of meteorological technology in Korea was 88.9% of the United States, 91.6% of the United Kingdom, and 92.2% of Japan.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.4
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• pp.340-347
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• 2024

In this study, an expert survey was conducted using the Delphi technique to select items and indicators for evaluation before installing educational facilities in the marine fisheries safety field, in which the educational infrastructure gap between regions is wide. Seven indicators were selected as geographic, social, and administrative factors. In order to objectively evaluate each indicator, evaluation indicators that could be evaluated using public data such as the "Comprehensive National Balanced Development Information System" and "National Statistical Portal" were developed. The Analytic Hierarchy Process (AHP) method was applied to select the weight for each indicator, resulting in 10 most important influencing factors on the selection of the location of educational facilities of the Marine Fisheries Safety Education Facilities: the distribution of marine officers, access to high-speed railways, the number of small ships less than 5 tons, access to highways interchange, the distribution of fishing boats, the close relationship of related industries, the planned new port, the distribution of commercial ports, the number of marine leisure riders, and the availability of long-term land leases in local government councils. The location evaluation index of marine and fishery safety education facilities developed in this study can be used to evaluate each region using national public data, and has the advantage of enabling objective evaluation. Therefore, it is judged that this evaluation index can be used to verify the feasibility of installing marine fisheries safety education facilities as well as other marine-related facilities.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.490-499
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• 2015

In this study, for the introduction factors of ERP system suggested in the prior study, I analyzed the importance of each introduction factor by using Delphi methodology and AHP. As a result of analysing the importance of the introduction factors of the 1st layer, the supplier factor was analyzed to be the most important factor among innovation factor, information technology factor, the user factor, the supplier factor, and in the weight analysis on the 2nd layer considering the importance of 1st layer, the standard work model of the supplier factor was a suitable factor, and the CEO participation factor(.086) was analyzed as the second most important introduction factor. These analysis results enable to determine that domestic Small & Medium enterprises' position hope to introduce by selecting a system in which the company characteristics and management strategies are applied well, because they should operate an ERP system that has already been developed, and in this course, the participation of CEO was also found to be a very important factor.

• Journal of Korea Water Resources Association
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• v.46 no.10
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• pp.977-987
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• 2013

This study aims to develop a multiple criteria decision making (MCDM) approach for flood vulnerability assessment which considers uncertainty. The flood vulnerability assessment procedure consists of three steps: (1) use the Delphi process to determine the criteria and their corresponding weights-the adopted criteria represent the social, economic, and environmental circumstances related to floods, (2) construct a fuzzy data matrix for the flood vulnerability criteria using fuzzification and standardization, and (3) set priorities based on the number of assessed vulnerabilities. This study uses a modified fuzzy TOPSIS method based on ${\alpha}$-level sets which considers various uncertainties related to weight derivation and crisp data aggregation. Further, Spearman's rank correlation analysis is used to compare the rankings obtained using the proposed method with those obtained using fuzzy TOPSIS with fuzzy data, TOPSIS, and WSM methods with crisp data. The fuzzy TOPSIS method based on ${\alpha}$-cut level sets is found to have a higher correlation rate than the other methods, and thus, it can reduce the difference of the rankings which uses crisp and fuzzy data. Thus, the proposed flood vulnerability assessment method can effectively support flood management policies.