• 제목/요약/키워드: data governance

검색결과 494건 처리시간 0.03초

Assessing Community Resilience in Rural Regions Using the Analytic Hierarchy Process Method (AHP 기법을 이용한 농촌 커뮤니티 리질리언스 지표 도출 연구)

  • Kim, Eun-Sol;Lee, Jae-Ho
    • Journal of Korean Society of Rural Planning
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    • 제28권1호
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    • pp.37-47
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    • 2022
  • The purpose of this study is to introduce the concept of community resilience to rural society and build an index suitable for the reality of rural areas. Furthermore, by calculating the importance of evaluation factors, it was attempted to present priorities and alternatives for each evaluation factor. By stratifying the derived indicators, a survey was conducted targeting 20 researchers, practitioners, and public officials, three groups of experts working in rural areas who were well aware of the realities and problems of rural areas. In the survey, a pairwise comparison was performed to compare factors 1:1 to calculate the importance, and for rational and consistent decision-making, decisions were made in the 9-grade section. Using the collected data, consistency analysis that can evaluate reliability in the decision-making process and the relative weight of evaluation factors were calculated through AHP analysis. As a result of the analysis, as a result of examining the priority of final importance by summarizing the importance of all evaluation factors, 'Income creation using resources' > 'Population Characteristics' > 'Tolerance' > 'External Support' > 'Social Accessibility' > 'Physical Accessibility' > 'Community Competence' > 'Infrastructure' > 'Leader Competence' > 'Natural Environment' was derived in the order. In the study dealing with urban community resilience indicators, social aspects such as citizen participation, public-private cooperation, and governance were presented as the most important requirements, but this study differs in that the 'income creation' factor is derived as the most important factor. This can be seen through the change in the income difference between rural and urban areas. The income structure of rural areas has changed rapidly, and it is now reaching a very poor level, so it is necessary to prepare alternatives to 'income creation' in the case of rural areas. Unlike urban indicators, 'population characteristics' and 'tolerance' were also derived as important indicators of rural society. However, there are currently no alternatives to supplement the vulnerability by strengthening the resilience of rural communities. Based on the priority indicators derived from the study, we tried to suggest alternatives necessary for rural continuity in the future so that they can be supplemented step by step.

Dimensions of Smart Tourism and Its Levels: An Integrative Literature Review

  • Otowicz, Marcelo Henrique;Macedo, Marcelo;Biz, Alexandre Augusto
    • Journal of Smart Tourism
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    • 제2권1호
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    • pp.5-19
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    • 2022
  • Smart tourism is seen as a revolution in the tourism industry, involving innovative and transformative theoretical-practical approaches for the sector. As a result of its application in the tourist context, benefits can be seen such as more sustainable practices, greater mobility and better accessibility in destinations, evolution of processes and experiences of tourists. Much of this is achieved through the support of technological solutions. However, despite the immense expectations, and the many researches carried out on it, a literature summary regarding the dimensions that can be observed in each application of this smart tourism has not yet been proposed. Therefore, supported by the PRISMA recommendation, this research proposed to carry out an integrative review of the literature on smart tourism (in its different levels of application, such as the city, the destination and the smart tourism region), with the objective of mapping the dimensions that underlie it. Thus, from an initial scope of 833 intellectual productions obtained, inputs were found for the dimensions in 363 of them after a thorough analysis. The compilation of data obtained from these productions supported the proposition of 14 operational dimensions of smart tourism, namely: collaboration, technology, sustainability, experience, accessibility, knowledge management, innovation management, human capital, marketing, customized services, transparency, safety, governance and mobility. With this set of dimensions, it is envisaged that the implementation of smart tourism projects can present more comprehensive and assertive results. In addition, shortcomings and opportunities for new research that support the evolution of the theory and practice of smart tourism are highlighted.

A Study on the Development of ESG Safety Evaluation Index (ESG 안전 평가지표 개발에 관한 연구 )

  • Cheolhee Yoon;Keun-won Lee;Seungho Jung
    • Journal of the Korean Institute of Gas
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    • 제27권2호
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    • pp.16-24
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    • 2023
  • ESG (environmental, social, governance) management is being introduced with the goal of sustainable development of the company in risk management, which identifies and judgement various risks that may occur in the industry. In the future, ESG evaluation will be used more as a value judgment tools for corporate sustainability. This ESG evaluation was used to manage the company's accident prevention level. Through morphological analysis of the current ESG evaluation system, it was found that the quantitative 'safety evaluation index' available in ESG was insufficient through analysis of safety evaluation items. In this study, domestic and foreign industrial accident data was analyzed, 'accident contributing factors' that required intensive management were derived, and major safety management items that needed supplementation were selected based on the results. ESG safety evaluation indicators were developed through the process of optimizing the selected items into evaluation factors suitable for 'accident prevention management'.

Results of An Awareness Survey of Local Residents Regarding Biosphere Reserves -A Case Study of the Gwangneung Forest Biosphere Reserve- (생물권보전지역에 대한 지역민 의식조사 연구 -광릉숲 생물권보전지역을 사례로-)

  • Chan-Young Park;Sung-Jin Yeom
    • Journal of Environmental Science International
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    • 제32권12호
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    • pp.933-941
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    • 2023
  • Since the Industrial Age, economic activities have raised environmental concerns, emphasizing the importance of biodiversity conservation areas. However, a fundamental contradiction exists between conservation and utilization, leading to conflicting interests. In light of these issues, the aim of this study was to propose efficient operational strategies for future urban biodiversity conservation areas, while also promoting local community economic development. Accordingly, the focus was the Gwangneung Forest Biosphere Reserve as a case study. The findings reveal the following. First, all local residents recognize the importance of the biosphere reserve and hold a high regard for its direct role in conservation. Second, developing and promoting brands appears to have a more positive impact on local economic activation than activating projects linked to the biosphere reserve. Simultaneously, local residents have expressed negative evaluations of indiscriminate facility development, fearing reckless expansion. Third, if governance is promoted in the future, community participation will likely increase, leading to a strengthening of conservation awareness and the establishment of a framework among local residents and those in adjacent areas. Findings of this study are expected to serve as fundamental data for establishing effective communication among local residents in protected areas facing similar challenges, thus facilitating efficient decision-making processes.

The Impact of Digital Transformation on Business Financialization: Mediating Effect of Green Technology Innovation (디지털 혁신이 기업 재무활동에 미치는 영향: 녹색기술혁신의 매개효과)

  • Kyung-Iihl Kim
    • Advanced Industrial SCIence
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    • 제2권4호
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    • pp.17-27
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    • 2023
  • The purpose of this study is to improve the efficiency of digital conversion by presenting factors that domestic small and medium-sized manufacturers should consider when attempting digital conversion. Using SME data from 2019 to 2021, we analyze the impact of digital transformation on the financialization of enterprises and which digital technologies affect financialization, and further analyze the mediating effect of green technology innovation between digital transformation and business finance. did The results of the study support the negative impact of digital technologies on corporate finance, and cloud computing technologies have been found to significantly inhibit the level of corporate finance. In addition, it was found that green technology innovation plays a mediating role in suppressing corporate financialization by promoting green technology innovation through digital transformation. Digital transformation influences corporate decision-making through green technology innovation, suggesting that the combination of digital technology and green projects should be considered.

Management strategy through analysis of habitat suitability for otter (Lutra lutra) in Hwangguji Stream (황구지천 내 수달(Lutra lutra) 서식지 적합성 분석을 통한 관리 전략 제안)

  • Song, Won-Kyong
    • Journal of the Korean Society of Environmental Restoration Technology
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    • 제27권4호
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    • pp.1-14
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    • 2024
  • Otters, designated as Class I endangered wildlife due to population declines resulting from urban development and stream burial, have seen increased appearances in freshwater environments since the nationwide ban on stream filling in 2020 and the implementation of urban stream restoration projects. There is a pressing need for scientific and strategic conservation measures for otters, an umbrella and vulnerable species in aquatic ecosystems. Therefore, this study predicts potential otter habitats using the species distribution model MaxEnt, focusing on Hwangguji Stream in Suwon, and proposes conservation strategies. Otter signs were surveyed over three years from 2019 to 2021 with citizen scientists, serving as presence data for the model. The model's outcomes were enhanced by analyzing 'river nature map' as a boundary. MaxEnt compared the performance of 60 combinations of feature classes and regularization multipliers to prevent model complexity and overfitting. Additionally, unmanned sensor cameras observed otter density for model validation, confirming correlations with the species distribution model results. The 'LQ-5.0' parameter combination showed the highest explanatory power with an AUC of 0.853. The model indicated that the 'adjacent land use' variable accounted for 31.5% of the explanation, with a preference for areas around cultivated lands. Otters were found to prefer shelter rates of 10-30% in riparian forests within 2 km of bridges. Higher otter densities observed by unmanned sensors correlated with increasing model values. Based on these results, the study suggests three conservation strategies: establishing stable buffer zones to enhance ecological connectivity, improving water quality against non-point source pollution, and raising public awareness. The study provides a scientific basis for potential otter habitat management, effective conservation through governance linking local governments, sustainable biodiversity goals, and civil organizations.

A review on the Marine Healing Industry (해양치유 산업에 관한 고찰)

  • Si-Kyoung Lee
    • Journal of the Health Care and Life Science
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    • 제11권2호
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    • pp.465-470
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    • 2023
  • This study aims to understand marine therapy through an overall review of the marine therapy industry and provide basic data for policy establishment on marine therapy based on this. Talasotherapy refers to the medical use of marine climate, seawater, marine mud, algae, sand and other marine extracts, which are beneficial components of the ocean for preventive and therapeutic purposes. Centers in Taean, Goseong, Uljin, and other marine healing pilot projects should be well combined with programs within rehabilitation clinics so that local tourism and marine healing programs can be combined, and how well the existing marine infrastructure is established is a very important factor. Establish legal and institutional foundations, inter-ministerial and central-local cooperative governance by reorganizing laws and regulations related to marine healing and establishing a cooperative system between ministries and regions. It is necessary to expand the function of the marine therapy R&D project to play a role as a marine therapy center for each coastal region.

Framework of Stock Market Platform for Fine Wine Investment Using Consortium Blockchain (공유경제 체제로서 컨소시엄 블록체인을 활용한 와인투자 주식플랫폼 프레임워크)

  • Chung, Yunkyeong;Ha, Yeyoung;Lee, Hyein;Yang, Hee-Dong
    • Knowledge Management Research
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    • 제21권3호
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    • pp.45-65
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    • 2020
  • It is desirable to invest in wine that increases its value, but wine investment itself is unfamiliar in Korea. Also, the process itself is unreasonable, and information is often forged, because pricing in the wine market is done by a small number of people. With the right solution, however, the wine market can be a desirable investment destination in that the longer one invests, the higher one can expect. Also, it is expected that the domestic wine consumption market will expand through the steady increase in domestic wine imports. This study presents the consortium block chain framework for revitalizing the wine market and enhancing transparency as the "right solution" of the nation's wine investment market. Blockchain governance can compensate for the shortcomings of the wine market because it guarantees desirable decision-making rights and accountability. Because the data stored in the block chain can be checked by consumers, it reduces the likelihood of counterfeit wine appearing and complements the process of unreasonably priced. In addition, digitization of assets resolves low cash liquidity and saves money and time throughout the supply chain through smart contracts, lowering entry barriers to wine investment. In particular, if the governance of the block chain is composed of 'chateau-distributor-investor' through consortium blockchains, it can create a desirable wine market. The production process is stored in the block chain to secure production costs, set a reasonable launch price, and efficiently operate the distribution system by storing the distribution process in the block chain, and forecast the amount of orders for futures trading. Finally, investors make rational decisions by viewing all of these data. The study presented a new perspective on alternative investment in that ownership can be treated like a share. We also look forward to the simplification of food import procedures and the formation of trust within the wine industry by presenting a framework for wine-owned sales. In future studies, we would like to expand the framework to study the areas to be applied.

Comparison of Artificial Neural Network and Empirical Models to Determine Daily Reference Evapotranspiration (기준 일증발산량 산정을 위한 인공신경망 모델과 경험모델의 적용 및 비교)

  • Choi, Yonghun;Kim, Minyoung;O'Shaughnessy, Susan;Jeon, Jonggil;Kim, Youngjin;Song, Weon Jung
    • Journal of The Korean Society of Agricultural Engineers
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    • 제60권6호
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    • pp.43-54
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    • 2018
  • The accurate estimation of reference crop evapotranspiration ($ET_o$) is essential in irrigation water management to assess the time-dependent status of crop water use and irrigation scheduling. The importance of $ET_o$ has resulted in many direct and indirect methods to approximate its value and include pan evaporation, meteorological-based estimations, lysimetry, soil moisture depletion, and soil water balance equations. Artificial neural networks (ANNs) have been intensively implemented for process-based hydrologic modeling due to their superior performance using nonlinear modeling, pattern recognition, and classification. This study adapted two well-known ANN algorithms, Backpropagation neural network (BPNN) and Generalized regression neural network (GRNN), to evaluate their capability to accurately predict $ET_o$ using daily meteorological data. All data were obtained from two automated weather stations (Chupungryeong and Jangsu) located in the Yeongdong-gun (2002-2017) and Jangsu-gun (1988-2017), respectively. Daily $ET_o$ was calculated using the Penman-Monteith equation as the benchmark method. These calculated values of $ET_o$ and corresponding meteorological data were separated into training, validation and test datasets. The performance of each ANN algorithm was evaluated against $ET_o$ calculated from the benchmark method and multiple linear regression (MLR) model. The overall results showed that the BPNN algorithm performed best followed by the MLR and GRNN in a statistical sense and this could contribute to provide valuable information to farmers, water managers and policy makers for effective agricultural water governance.

A Review on Applicability of Sustainable City Index - Focusing on GCI, EPI and CBI - (지속가능한 도시평가지표의 적용 가능성 검토 - GCI, EPI, CBI를 중심으로 -)

  • Yun, Hyerngdu;Park, Jinyoung;Choi, Taebong;Choi, Intae;Noh, Taihwan;Han, Bongho;Kim, Myungjin
    • Journal of Environmental Impact Assessment
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    • 제24권6호
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    • pp.593-606
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    • 2015
  • This study was intended to develop Korean Environmental Sustainable City Index (ESCI) so that local governments can examine and identify urban environment issues and then come up with a policy to improve the environment and urban biodiversity for cities. Green City Index (GCI), Environmental Performance Index (EPI), and City Biodiversity Index (CBI) which have used worldwide were analyzed. Based on the result of analysis, evaluation indicators of ESCI were finally a total of 20 indicators under four categories, which are native biodiversity, living environment, ecosystem services, and governance and management. Then, five cities with biotope mapping and evaluation index were selected to apply ESCI for evaluation. In order to apply ESCI, local governments need to accumulate basic data. There should be a policy which requires local governments to build data for biotope mapping so that the rate of natural area, ecological network and permeable land surface can be evaluated. Indicators must be applied to be compliant with scale of the city and level of data building gradually.