• Convergence Security Journal
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• v.17 no.3
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• pp.31-40
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• 2017

UAV (Unmanned Aerial Vehicle) is increasingly used in diverse fields such as disaster, distributi on, and logistics, but it is pointed out that the inadequacy of related laws and invasion of privacy is an obstacle to industrial growth. The regulatory framework for UAV convergence services is pr oposed based on the regulatory framework. From the technical point of view, regulation on archite ctural design, from the market point of view, concurrent operation of services in a limited area, a l egal evaluation based on post-evaluation rather than a pre-regulation under the legislation of visua l information protection law and a social consensus will contribute to the early settlement of UAV -based convergence services.

• Journal of Global Scholars of Marketing Science
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• v.2
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• pp.1-16
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• 1998

경남 및 전남지방은 산업에 있어서 농업의 비중이 상대적으로 큰 지역이다. 두 지방의 농업의 특성은 큰 차이는 없으나, 전남 지역이 농가인구, 호당 경지면적이 넓다. 영농 형태별로는 전남 지역이 수도, 전작의 비중이 크며, 경남지역은 과수, 채소, 화훼, 축산 등 소득작목의 비중이 높다. 농업기반에 대하여 보면, 농업진흥 지역비율은 경남 53.7%, 전남 64.8%이며 수리답율은 81.9% 76.1%, 경지정리율은 76.1%, 68.4%로 경남지역이 유리한 기반을 갖고 있다. 작목별 특화도를 보면 경남 지역은 맥류, 서류, 앙파, 마늘, 감, 화훼류 등이 높으며, 전남 지역은 맥류,두류, 마늘, 양파, 감, 참깨 등이 높게 나타나고 있다. 지역내 수급현황을 보면 경남지역은 미곡, 두류, 무, 배추, 고추, 사과, 포도, 복숭아 등이 부족하며, 서류, 마늘, 양파, 배 등이 과잉이고, 전남지역은 대부분이 과잉이며 사과, 포도, 복숭아 등이 부족하다. 지역간 농업협력은 상호 과부족인 농산물의 교역이나 비교우위가 있는 작목에 특화함으로써 서로 이익을 누리는 방안과 타 지역이나 해외 진출에 있어서 공동보조를 취하는 것으로 생각할 수 있다. 이에 대한 구체적 빙안으로서는 무엇보다 양 지역농업 및 농민에 대한 상호 이해가 이뤄져야 하며, 이를 전제로, 지역별 비교우위가 분명한 품목에 대하여 상호 우선적으로 구매할 수 있도록 하는 등 상호 교역을 지원하며, 농산물 수급 불균형으로 인한 가격파동을 예방하기 위하여 계획생산, 계획 유통이 불가피한 만큼 농협, 농민단체, 지방정부간의 농업정보의 공유와 조정 채널을 구축하고, 지역간 직거래 활성화하고 서로의 이해를 돕기 위한 농산물 장터 등 장소와 기회를 제공하며, 해외수출 시장 개척을 위한 공동 노력, 농업기술의 상호 교류 등이 필요하다.

• Journal of Korean Port Research
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• v.12 no.2
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• pp.243-250
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• 1998

This study is to find subjects for the Automated Container Terminal(ACT) development and container terminal system. Also we analyze the present condition of the container terminal system in Pusan port and its automation level by systems approach. And this paper aims at evaluating on the priority of R&D investment until the beginning of the second stage of New Pusan Port Project(2006). In this process we have considered 8 evaluation indexes(cost, labor, area, time, volume, reliability. safety, convenience) to analyze 6 subsystems. The priority of R&D until target year by sub-systems is as follow: 1. Cargo Handing System, 2. Transfer System, 3. Port Entry System, 4. Storage System (Distribution & Manufacturing System included), 5.Inland Transport System, 6.Port Management & Information System.

• 한국벤처창업학회:학술대회논문집
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• 2022.11a
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• pp.79-81
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• 2022

최근 정보기술의 발달과 COVID-19으로 인해, 많은 유통의 판도가 바뀌었다. 비대면의 급증으로 배달문화와 온라인 쇼핑과 온라인 회의 등이 성행하며 익숙해지고 이로 인해 디지털 전환이 더욱 빠르게 가속화 되었다. 중국에서 시작되었던 라이브 커머스도 이 시기를 틈타 한국으로 들어왔고 라이브 커머스의 발전이 시작되었다. 이에 따라 라이브 커머스에 관한 연구도 많이 나오고 있는데 연구들이 라이브커머스의 특성만을 다루는 것에 한계점을 느꼈다. 이에 본 연구는 라이브 커머스의 특성에서 나아가 이 특성으로 인하여 진정으로 혜택을 볼 수 있는 소상공인들에 초점을 맞추기로 하였다. 소상공인들이야말로 라이브커머스를 이용하는 80%를 넘는 비중을 차지하고 있는 사용자이자 판매자이다. 하지만 그럼에도 불구하고 아직까지도 많은 판매자들이 라이브커머스를 어렵게 생각하고 전문 방송인을 고용하거나 대행사를 고용하여야만 라이브커머스 방송이 가능하다고 생각하여 시작을 못하고 있다. 본 연구에서는 실험을 설계하여 판매자가 직접 라이브 커머스 방송을 진행하여도 충분히 소비자에게 긍정적인 영향을 줄 수 있고 매출액과 유입수에도 영향을 끼칠 것이란 가설을 설정하였다. 쇼호스트와 관여도라는 변수를 설정하여 2 by 2 실험을 설계하였다. 쇼호스트는 방송전문가인 일반적인 대행사를 섭외하여 방송을 능숙하게 하고 중간에 재미적인 요소를 집어 넣는 쇼호스트와 제품 전문가인 판매자를 직접 방송하게 하여 제품에 대한 전문성을 넣어 소비자의 반응을 살펴 보았다. 관여도는 고관여 제품과 저관여 제품을 식품군으로 비교하는 것으로 설계하는 것으로 연구를 진행하였다.

• Information Systems Review
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• v.13 no.3
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• pp.141-163
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• 2011

The advancement of information technologies including the Internet has affected the way of social information processing as well as brought about the paradigm shift to the information society. Accordingly, it is very important to study the process of social information processing over the digital media through which social information is generated, distributed, and led to social consensus. In this study, we analyze the mechanism of social information processing, identify a process model of social consensus and institutionalization of the results, and finally propose a set of information processing characteristics on the internet media. We deploy the ethnographic approach to analyze the meaning of group behavior in the context of society to analyze two major events which happened in Korean society. The formation process of social consensus is found to consist of 5 steps: suggestion of social issues, selective reflection on public opinion, acceptance of the issues and diffusion, social consensus, and institutionalization and feedback. The key characteristics of information processing in the Internet is grouped into proactive response to an event, the changes in the role of opinion leader, the flexibility of proposal and analysis, greater scalability, relevance to consensus making, institutionalization and interaction. This study contributes to the literature by proposing a process model of social information processing which can be used as the basis for analyzing the social consensus making process from the social network perspective. In addition, this study suggests a new perspective where the utility of the Internet media can be understood from the social information processing so that other disciplines including politics, communications, and management can improve the decision making performance in utilizing the Internet media.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.11
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• pp.728-739
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• 2020

Using webometric big data, this study examines the diversity of online information sources about the novel coronavirus causing the COVID-19 pandemic. Specifically, it focuses on some 28 countries where confirmed coronavirus cases occurred in February 2020. In the results, the online visibility of Australia, Canada, and Italy was the highest, based on their producing the most relevant information. There was a statistically significant correlation between the hit counts per country and the frequency of visiting the domains that act as information channels. Interestingly, Japan, China, and Singapore, which had a large number of confirmed cases at that time, were providing web data related to the novel coronavirus. Online sources were classified using an N-tuple helix model. The results showed that government agencies were the largest supplier of coronavirus information in cyberspace. Furthermore, the two-mode network technique revealed that media companies, university hospitals, and public healthcare centers had taken a positive attitude towards online circulation of coronavirus research and epidemic prevention information. However, semantic network analysis showed that health, school, home, and public had high centrality values. This means that people were concerned not only about personal prevention rules caused by the coronavirus outbreak, but also about response plans caused by life inconveniences and operational obstacles.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.5
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• pp.115-123
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• 2009

Integrated information to water quantity and quality is essential for planning water resources management as well as operating water-related infrastructures. Because data collection process including monitoring and maintenance is separated in different governmental agencies in Korea, integrating quantity and quality may provide effective and better management implementation. In this study, a number of suggestions regarding integration of water monitoring were concluded in terms of technological, legal and institutional implications. First, it is necessary to discuss national water monitoring plan, national water information management plan, agreement of standard terms of monitoring between ministries, and to revise the law(river law and water quality management law). Present stations for water monitoring should be used for both of quantity and quality monitoring. If station is newly installed or relocated, it is better that one single agency maintain monitoring frequency and data management as well. In addition, a monitoring protocol need to be agreed by each of parties. In order to develop integrated monitoring system, quality assurance of the collected data should be properly maintained. Since many purposes haven been concerned using of data analysis and assessment so far, it may not be easy to integrate water quantity and quality monitoring in a short period. However, the alternatives including enhancing institutional regulations and programs, advanced technology may promote an efficient integrated water monitoring.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.127-133
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• 2022

In the wake of COVID-19, more consumers prefer non-face-to-face services and the explosion in the use of delivery apps is shaping a new delivery culture. Meanwhile, in order to solve social problems such as platform monopoly of private delivery apps and increased brokerage fees, many municipalities are launching public delivery apps from 2020 onwards. However, consumers who are used for the existing private delivery apps are not aware of the public delivery apps and the utilization rate is low. In this study, we will look at the impact of sense of community and service quality (information quality, delivery quality) on the intend to use public delivery apps. Studies have shown that SOC and information quality have a significant impact on the attitude of using public delivery apps, but not delivery quality. In addition, the attitude of using public delivery apps has been shown to have a mediating effect on the relationship between SOC, information quality and public delivery app use intentions respectively. Therefore, to activate the public delivery apps, it was found that it is necessary not only to promote, but also to improve user convenience, such as product search and user review inquiry to improve information quality, along with efforts to strengthen the sense of local community.

• Journal of the Korean Society for information Management
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• v.38 no.3
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• pp.23-39
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• 2021

This study aims to explore research trends in Blockchain studies in South Korea using dynamic topic modeling and network analysis. To achieve this goal, we conducted the university & institute collaboration network analysis, the keyword co-occurrence network analysis, and times series topic analysis using dynamic topic modeling. Through the university & institute collaboration network analysis, we found major universities such as Soongsil University, Soonchunhyang University, Korea University, Korea Advanced Institute of Science and Technology (KAIST) and major institutes such as Ministry of National Defense, Korea Railroad Research Institute, Samil PricewaterhouseCoopers, Electronics and Telecommunications Research Institute that led collaborative research. Next, through the analysis of the keyword co-occurrence network, we found major research keywords including virtual assets (Cryptocurrency, Bitcoin, Ethereum, Virtual currency), blockchain technology (Distributed ledger, Distributed ledger technology), finance (Smart contract), and information security (Security, privacy, Personal information). Smart contracts showed the highest scores in all network centrality measures showing its importance in the field. Finally, through the time series topic analysis, we identified five major topics including blockchain technology, blockchain ecosystem, blockchain application 1 (trade, online voting, real estate), blockchain application 2 (food, tourism, distribution, media), and blockchain application 3 (economy, finance). Changes of topics were also investigated by exploring proportions of representative keywords for each topic. The study is the first of its kind to attempt to conduct university & institute collaboration networks analysis and dynamic topic modeling-based times series topic analysis for exploring research trends in Blockchain studies in South Korea. Our results can be used by government agencies, universities, and research institutes to develop effective strategies of promoting university & institutes collaboration and interdisciplinary research in the field.

• Journal of Distribution Science
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• v.4 no.2
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• pp.81-106
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• 2006

The value of Its visitors is very important factors on selection of a Spa & Resort. The first detailed purpose of this paper is to analyse the differences of select behaviors of a Spa & Resort according to the types of values of the visitors. The second aim is to conduct a research on the characters of select behaviors of the visitors. The third aim is to analyse the degree of satisfaction of the visitors, re-visitation and the intention of recommendation. The fourth purpose is to provide useful materials on analysis about the values of the visitors at various Spa & Resorts and to trigger dramatic effect of recuperation, relaxation with its visitor's needs met, the maximum of hotel's management profit at Spa & Resort's area and programs to activate the region's economy. Factor Analsis Routine of SPSS Windows Version 10.0 was applied to accomplish the issues of the study. The Applied analysis by research process are as follows; This paper applied Frequency analysis to figure out interviewee's demographic characters and various using types of the visitors, using their experience of visiting, Select influence, Visiting period, Accommodation they use, Accompanyist, Costs, Season, Transportation, The necessary time. This paper showed important correlation between the visitors' select attributes and behaviors after using it, between their personal value and behaviors after using it, between their individual value, motive of use and their select behavior of destinations. In accordance with it, Managers or developer of a Spa & Resort should make a plan after a sufficient review of the visitors' individual value. The visitor's value is changing continuously according to the change of spatial, occasional environment and should be assessed by those changes.