• Journal of Information Management
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• v.43 no.2
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• pp.1-22
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• 2012

The purpose of this study is to provide a theoretical basis for archiving the digital contents in Science and Technology. We first examined the evaluation criteria for archiving different types of digital contents by using quantitative research methods, like a user survey. We then further investigated how participants perceived each evaluation criterion by adopting qualitative research methods, like a focus group discussion. Also, we presented an evaluation model for setting up the priority of digital archiving among various types of digital contents.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.889-914
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• 2011

This paper is to review assessment indicator on priorities for budget allocation of the national R&D program. In priority setting of programs for the budget allocation process of the national R&D program using the Analytical Hierarchy Process (AHP), the survey result on the major influencing factors is as follows: the significance of components of evaluation for the priority of the national R&D programs in budget allocation was as following order: "accomplishment and ripple effect of the project," "basis and driving force for the promotion of project," "feasibility of project goals," and the "possibility of overlapping and linkage among projects". The importance of the final evaluation indicator was as following order: "clarity and possibility for accomplishment of business objectives," "ripple effects in terms of science and technology", "ripple effects in terms of the economy and overall society" and "appropriate correspondence with mid- to long-term plans" (the importance for these four indicators was over 10%) while the importance of "overlapping" and "appropriateness of budget size" indicators which fell below 5% were considered to be relatively less important. there is a need for a clear criteria and conceptions of evaluation indicators for budget allocation of national R&D programs.

• Spatial Information Research
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• v.16 no.2
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• pp.263-278
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• 2008

Nowaday, local governments have planned to manage intelligent underground facilities through the u-City project. But, the intelligent underground facilities are in need of the progressive approach because of the required huge financial resources. Therefore, the objectives of this research are (1) to prioritize the monitoring items of sensing technology developments, (2) to study technological feasibilities, and (3) to discover the killer application which expands ripple effects on economy. To achieve these objectives, final monitoring items were derived from the business analysis of the water supply, the local government survey, the hearing expert opinions and so on. The priority order of final monitoring items were technology developments of (1) the flowmeter flux, (2) the water leakage/crack, (3) the pressure of water supply pipes, and (4) the flux of filtration plants. The research significance is obtained from the derivation and the evaluation of the priority order and the actual demand for the water supply facility management. And, the research results will contribute to the strategic planning for the underground facility intelligence.

• Journal of Korea Water Resources Association
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• v.46 no.2
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• pp.171-182
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• 2013

This paper presents the application of fuzzy set theory in multi criteria decision making (MCDM). FAHP (Fuzzy Analytic Hierarchy Process) method was used to rank alternatives to find the most reasonable and efficient way of agricultural reservoir water resources assessment. 6 criteria and 10 subcriteria had been identified and compared to secure agricultural water resources. Fuzzy numbers and linguistic variables were presented to address inherently uncertain or imprecise data. Comparison analysis of decision making method was also carried out to find a way of suitable decision making and validity of FAHP was discussed.

• Journal of the Korean Society of Marine Environment & Safety
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• v.21 no.2
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• pp.154-163
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• 2015

This study is based on deductions from analysis of historical changes in hydrographic surveys, the problems with the existing system in Korea and analysis of the literature, including foreign cases. Using these criteria, we created and administered a survey of marine professionals of Korea, and based on the results, established an order of priority for hydrographic surveys, as follows: changes in the seabed, quantities of marine traffic, existing performance data from hydrographic survey, consumer's demand, marine accidents, conservation of oceanic environment, and natural resources. The study also deduced, based on a survey of experts, the relative importance ranking of the major ports in South Korea and suggests policy implications and a priority decision model to conduct future hydrographic surveys in a more scientific and systematic way.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.05b
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• pp.275-279
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• 2005

수자원 개발에 있어 중요한 문제 중의 하나는 개발가능지의 선택과 후보지가 복수일 때 개발 우선순위를 결정하는 것이라 할 수 있다. 이러한 문제 해결을 위하여 적지분석을 실시한다. 적지분석 과정은 크게 기초 조사 및 자료수집, 예비후보지의 선정, 대안평가, 입지선정의 :t단계로 구분되는데 여기서 2-3단계인 예비후보지 선정과 대안평가 단계가 적지분석 기법이 적용되어야 할 과정이다. 기존의 의사결정 방법론들은 각 대안의 우선순위를 위해 각 항목들에 대한 가중치나 확률치를 이용한 수치적 계산에 의한 방법들이 대부분이며, 또한, 각 후보지에 대해서 동일한 항목에 대한 정보를 요구하게 되어 한 후보지이라도 정보가 없는 경우 우선순위를 위한 계산과정에서 제외하거나 결정자의 경험 등에 의한 추정 값을 사용할 수밖에 없다. 이러한 이유로 본 연구에서는 입지선정에서 대상 후보지의 인자비교를 위한 항목의 자료 유무에 관계없이 적지분석이 가능하도록 게임이론을 적용하여 수자원 개발 가능 후보지를 도출하기 위한 기본모형을 개발하였다.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.47-54
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• 2022

The purpose of this study was to derive policy priorities for fostering the biopharmaceutical industry. In this study, the urgency and importance of the policy to foster the biopharmaceutical industry in Gyeonggi-do was investigated, and the priorities of the policy in the biopharmaceutical industry were analyzed through IPA analysis. As a result of the study, the top priority support tasks for the biopharmaceutical industry promotion policy were 'R&D support', 'Expert training', and 'commercialization support'. As a result of deriving policy priorities for each biopharmaceutical sector, 'R&D support' and 'Expert training' were found to be high in common, and differences in policy priorities for each industry such as cell therapy products and advanced bio-convergence products were confirmed. Also, as for the policy demand, R&D funding support, clinical trial support, and commercialization funding support were found to be high. Based on these results, the government's policy to foster the biopharmaceutical industry was supported with a focus on 'R&D support' and 'Expert training', and policy implications were drawn that customized support is needed in consideration of the characteristics of each industry field.

• Journal of Korea Port Economic Association
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• v.37 no.4
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• pp.103-126
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• 2021

The purpose of this study is described in detail as follows. First, I would like to define what digital transformation is in the maritime transport sector. Second, it is intended to derive success factors for digital transformation in the maritime transportation field by examining various preceding studies related to digital transformation. Finally, in order to derive priorities for the derived success factors, an AHP analysis model is built and an expert survey is conducted for practical experts in the maritime transportation field. Based on the survey results, we would like to provide guidelines on what factors should be considered first among the success factors of digital transformation in the maritime transportation sector. In this study, in order to derive the priority of success factors for digital transformation in the maritime transportation field, the hierarchical structure was divided into four high-level evaluation items(strategic factors, organizational culture and human factors, technology factors, and environmental factors) and 21 sub-evaluation items. A relative evaluation method of weighting items among AHP(Analytic Hierarchy Process) was applied. AHP analysis of 24 questionnaires with a consistency ratio of 0.1 or less in order to increase the accuracy of information among questionnaires collected through maritime transportation related university professors, research groups, shipping companies, container terminals, and experts engaged in shipping related IT companies was carried out. As a result of the analysis, the priority of the first-tier factors for the success factors of digital transformation in the maritime transport sector was shown in the order of strategic factors, organizational culture and human factors, technology factors, and environmental factors. In addition, when looking at the priorities of 21 detailed items, it was found that the development of new business models, the creation of an active future digital strategy, and the leadership of the chief digital officer were high.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.5
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• pp.385-396
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• 2015

The purpose of this study are in selecting a core service and drawing an analysis functions and service sector, based on contents of geo-spatial big data. For the study, the demand survey in the methodology has to be done by reviewing of preceding geo-spatial big data service. The survey has conducted by targeting on those experts in Industry-Academy-Research cooperation. From the survey, we could draw out requirements for the analysis function and the geo-spatial big data service sector. Also, order of priorities in service of four fields(Society, Environment, Economy, Humanities) has been utilized by a QFD(Quality Function Deployment). With the data, the first two priorities and required sectors for each field were selected for the analysis functions. From the result, we could suggest the core service model(plan), and also expect developments following each sectoral core service in the future.

• Journal of Mushroom
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• v.17 no.4
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• pp.255-260
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• 2019

The purpose of this study was to identify sector-wise issues that need to be improved for the overall development of the mushroom industry and to prioritize these tasks based on an analysis of the current state of this industry in Korea. To this end, we classified the domestic mushroom industry into four sectors: production, processing, marketing, and export and distribution, and identified major tasks for the improvement of each of these sectors. A total of eleven issues that could be improved were selected, including three each in the production, marketing, and export and distribution sectors, and two in the processing sector. An analytical hierarchy process (AHP) was utilized to identify the issues in each sector that would need to be handled on a priority basis. A questionnaire-based survey was also conducted to gain relevant insights and suggestions from 32 experts in this industry. The present study is significant because it highlights sector-wise priority areas that could be supported by policies and legal measures for the overall development of the mushroom industry.