• Title/Summary/Keyword: relevant factors

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A Study on the Development of Consortium Blockchain Governance Framework (컨소시엄 블록체인 거버넌스 프레임워크 개발에 관한 연구)

  • Park, Jin-Sang;Kim, Jung-Duk
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.89-94
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    • 2019
  • Due to the limitations of public and private blockchain, several organizations are implementing consortium blockchain systems. In order for an organization to conduct business using blockchain, it must consider 'blockchain governance' factors, such as decision rights, accountability and incentives over on-chain and off-chain, depending on the organization's strategy and objectives. If an organization conducts business without blockchain governance, it cannot achieve its strategy and objectives systematically, effectively and efficiently, and cannot comply with internal external requirements such as the expectations of stakeholders and laws. However, as businesses using consortium blockchain expand, there is no research on consortium blockchain governance. Thus, in this study, the consortium blockchain governance framework, including functions, roles and responsibilities, was developed to help organizations effectively and efficiently conduct business using consortium blockchain. In addition, to review the feasibility of the developed consortium blockchain governance framework, the framework was reviewed through an advisory committee consisting of experts on blockchain and governance over two occasions. As a result of the review, components of the consortium blockchain governance framework, including functions, roles and responsibilities, were considered complete and relevant.

Does Social Responsibility Activities Keep Future Earnings Sustainability? (사회적 책임활동은 기업의 이익을 지속시키는가?)

  • Park, Sung-Jin;Sun, Eun-Jung
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.187-210
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    • 2019
  • Companies shall hold social responsibility as a member of the social community. Corporate social responsibility uses corporate resources, yet it plays important roles in reducing social imbalance. Their responsibilities are highly associated with the corporate sustainability. Many earlier studies on the association between corporate social responsibility and corporate sustainability have been attempted. Yet it should be mentioned that they do not show a variety of realities as linearity between dependent variables and independent variables were assumed. Thus, this study aims to analyze Markov blanket, a node of minimum descriptive variables that relieve a rigid assumption among variables and affect corporate sustainability by using Bayesian network. Sensitivity analysis was used to elicit how other variables affect by reflecting the complex reality when real factors are changed. As an important result of this study, the firm's future earnings sustainability is naturally related to operating earnings, and as the corporate governance structure is sound, the firm is able to steadily fulfill its social responsibility. However, the fact that the size of a company is large does not mean that it is in good compliance with corporate laws. This would not be unrelated to the fact that many of today's companies are not complying with the law and are suffering social condemnation. Results from this study will serve as a useful analytic tool when investors and creditors showing interests in corporate sustainability for assessing the value of companies and making investment decisions. Moreover, they can be used as references for relevant agency supervising capital markets to establish or improve appropriate institutions aimed at improving corporate sustainability.

A Study on the Guidelines for the Development of Domestic Flight Test Operation Manual (국내 비행시험 운영 매뉴얼 개발 기준 연구)

  • Kim, Mu-Geun;Baek, Seung-Don;Song, Chan-Yong;Ahn, Dae-Whee;Han, Jeongho;Yoo, Beong-Seon;Kang, Ja-Young
    • Journal of Advanced Navigation Technology
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    • v.23 no.4
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    • pp.281-288
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    • 2019
  • A Flight test is an important process that must be performed to maintain airworthiness in the aircraft lifecycle, including aircraft development and certification. Flight test can be conducted for the purpose of demonstrating or verifying compliance with the applicable standard. Results of the flight test air accident analysis confirm that it is caused by a combination of various factors as well as aircraft. The International Civil Aviation Organization recommends the establishment and implementation of a safety management system to prevent aircraft accidents, but it does not reflect the specificity of the flight test. As such, advanced countries are providing separate criteria to assist stakeholder in conducting flight test safety management. This study investigates and analyzes relevant regulations of advanced countries, in accordance with the construction of a national flight performance test site in Korea, and proposes government-level guidelines to help stakeholders develop their flight test operation manuals. The guidelines discuss topics such as organizational composition, safety and risk management, flight operation, personnel management, and administrative issues.

Influence of Nursing Manager's Followership of Nurses' Perceptions on Job Satisfaction of Nurse : Focus on the control effect of Empowerment (간호사가 인식한 간호관리자의 팔로워십이 간호사의 직무만족에 미치는 영향: 임파워먼트 조절효과 중심으로)

  • Hwang, Eun Jeong;Moon, Sook Ja
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.7
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    • pp.93-101
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    • 2019
  • The purpose of this study is to identify the control effect of empowerment from the effect to the task satisfaction of the nursing staff of the manager of followership, to study the relationship between the followership of nursing manager, task-satisfaction and empowerment that the nurse recognized. The data collection was conducted for nurses working at four general hospitals with 500 beds or more in Jeollanam-do from March 2 to March 17, 2019. The data were analyzed with the general characteristics of the subjects, and the degree of measurement variables were determined by frequency analysis and technical statistical analysis. The differences in the relevant factors according to the general characteristics were analyzed by t-test and ANOVA, and the correlation and multicollinearity among the measurement variables were analyzed as Pearson's correlation coefficiency, and Moderator regression analysis was performed to verify the adjustment effect of the empowerment. The results of the study showed significant results nursing managers' followership, empowerment and job satisfaction by the educational level. In addition, difference from work experience has shown statistically significant differences in job satisfaction. It has been shown that there is a static correlation between the followership of nursing manager that the subject recognized, empowerment and task satisfaction, the influence between followership and job satisfaction has been found to act as adjustment variables on empowerment. The conclusion of this study is meaningful in that it has verified its influence by applying recently emerging followership to nursing field. From now on, extensive research is important for the members to develop the leadership of members and followership.

Assessment of Mild Cognitive Impairment in Elderly Subjects Using a Fully Automated Brain Segmentation Software

  • Kwon, Chiheon;Kang, Koung Mi;Byun, Min Soo;Yi, Dahyun;Song, Huijin;Lee, Ji Ye;Hwang, Inpyeong;Yoo, Roh-Eul;Yun, Tae Jin;Choi, Seung Hong;Kim, Ji-hoon;Sohn, Chul-Ho;Lee, Dong Young
    • Investigative Magnetic Resonance Imaging
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    • v.25 no.3
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    • pp.164-171
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    • 2021
  • Purpose: Mild cognitive impairment (MCI) is a prodromal stage of Alzheimer's disease (AD). Brain atrophy in this disease spectrum begins in the medial temporal lobe structure, which can be recognized by magnetic resonance imaging. To overcome the unsatisfactory inter-observer reliability of visual evaluation, quantitative brain volumetry has been developed and widely investigated for the diagnosis of MCI and AD. The aim of this study was to assess the prediction accuracy of quantitative brain volumetry using a fully automated segmentation software package, NeuroQuant®, for the diagnosis of MCI. Materials and Methods: A total of 418 subjects from the Korean Brain Aging Study for Early Diagnosis and Prediction of Alzheimer's Disease cohort were included in our study. Each participant was allocated to either a cognitively normal old group (n = 285) or an MCI group (n = 133). Brain volumetric data were obtained from T1-weighted images using the NeuroQuant software package. Logistic regression and receiver operating characteristic (ROC) curve analyses were performed to investigate relevant brain regions and their prediction accuracies. Results: Multivariate logistic regression analysis revealed that normative percentiles of the hippocampus (P < 0.001), amygdala (P = 0.003), frontal lobe (P = 0.049), medial parietal lobe (P = 0.023), and third ventricle (P = 0.012) were independent predictive factors for MCI. In ROC analysis, normative percentiles of the hippocampus and amygdala showed fair accuracies in the diagnosis of MCI (area under the curve: 0.739 and 0.727, respectively). Conclusion: Normative percentiles of the hippocampus and amygdala provided by the fully automated segmentation software could be used for screening MCI with a reasonable post-processing time. This information might help us interpret structural MRI in patients with cognitive impairment.

Study on the influencing factors of rural tourism behavior intention in China based on the theory of planned behavior (계획행동이론을 바탕으로 한 중국 농촌관광 행동의도 영향요인에 관한 연구)

  • He, Zhen hua;Sim, Jae yeon
    • Journal of the Korea Convergence Society
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    • v.11 no.12
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    • pp.207-224
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    • 2020
  • With the gradual improvement of China's residents' economic level, the continuous improvement of the holiday system, and the main purpose of relaxing mood and experiencing life, rural tourism has developed rapidly. In order to further achieve the goals of farmers' entrepreneurship, agricultural income increase, rural prosperity, and tourism management departments and tourism enterprises' management and operation objectives, this paper puts forward research hypotheses on the basis of relevant literature review and references. Based on the previous research results, this paper designs a questionnaire on Residents' rural tourism behavior intention, and uses SPSS23.0 to conduct correlation analysis and hypothesis test on the sample data, and draws the following conclusions: (1) rural tourism attitude, subjective norms, and perceived behavior control have a significant positive impact on rural tourism behavior intention; (2) policy system and resource conditions have a significant positive impact on rural tourism behavior intention; (3) policy system has a significant positive impact on subjective norms and perceived behavior control, and resource conditions have a significant positive impact on rural tourism attitude, subjective norms, and perceived behavior control.

A study on the estimation and evaluation of ungauged reservoir inflow for local government's agricultural drought forecasting and warning (지자체 농업가뭄 예·경보를 위한 미계측 저수지의 유입량 추정 및 평가)

  • Choi, Jung-Ryel;Yoon, Hyeon-Cheol;Won, Chang-Hee;Lee, Byung-Hyun;Kim, Byung-Sik
    • Journal of Korea Water Resources Association
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    • v.54 no.6
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    • pp.395-405
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    • 2021
  • When issuing forecasts and alerts for agricultural drought, the relevant ministries only rely on the observation data from the reservoirs managed by the Korea Rural Community Corporation, which creates gaps between the drought analysis results at the local (si/gun) governments and the droughts actually experienced by local residents. Closing these gaps requires detailed local geoinformation on reservoirs, which in turn requires the information on reservoirs managed by local governments across Korea. However, installing water level and flow measurement equipment at all of the reservoirs would not be reasonable in terms of operation and cost effectiveness, and an alternate approach is required to efficiently generate information. In light of the above, this study validates and calibrates the parameters of the TANK model for reservoir basins, divided them into groups based on the characteristics of different basins, and applies the grouped parameters to unmeasured local government reservoirs to estimate and assess inflow. The findings show that the average determinant coefficient and the NSE of the group using rice paddies and inclinations are 0.63 and 0.62, respectively, indicating better results compared with the basin area and effective storage factors (determinant coefficient: 0.49, NSE: 0.47). The findings indicate the possibility of utilizing the information regarding unmeasured reservoirs managed by local governments.

An Empirical Study on the Management Performances of Korean Tourism Firms - Focusing on the Understanding and Preparation of Constituents against FTA Environment (한국 관광기업 조직 구성원의 FTA에 대한 이해/준비정도가 경영성과에 미치는 영향에 관한 실증연구)

  • Shin, Kwang-Ha;Jeong, Eun-Kyeong;Park, Myung-Chan
    • International Area Studies Review
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    • v.13 no.2
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    • pp.190-222
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    • 2009
  • This study is for analyzing the management performances of Korean tourism firms, which have been operating as preparing strategically against FTA, one of the most importantly external environment in international management since in the middle of 1990s. The main purpose can be mentioned to test empirically some relations between the management performances of Korean tourism ones and the levels of understanding and preparing against FTA. In detail speaking, the dependent variables of management performances are classified with sales, profits and management satisfaction, while the independent ones regarding with FTA are sorted based on the previous studies with the 2 following factors like understanding/preparing of managers and one of workers in a firm. This study is conducted in two stages. Firstly, the research model is designed by the reviewing relevant theories, previous studies. Secondly, the survey of Korean tourism enterprises engaging in management activities in Korea is implemented by collecting questionnaires. And for testing the hypothesis, the analyzing tools are being used for correlation, reliability, validity and multi regression on SPSS 12.0 for windows and finally the path analysis of structural equation modeling is activated with AMOS 7.0 for windows.

Status of Groundwater Potential Mapping Research Using GIS and Machine Learning (GIS와 기계학습을 이용한 지하수 가능성도 작성 연구 현황)

  • Lee, Saro;Fetemeh, Rezaie
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1277-1290
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    • 2020
  • Water resources which is formed of surface and groundwater, are considered as one of the pivotal natural resources worldwide. Since last century, the rapid population growth as well as accelerated industrialization and explosive urbanization lead to boost demand for groundwater for domestic, industrial and agricultural use. In fact, better management of groundwater can play crucial role in sustainable development; therefore, determining accurate location of groundwater based groundwater potential mapping is indispensable. In recent years, integration of machine learning techniques, Geographical Information System (GIS) and Remote Sensing (RS) are popular and effective methods employed for groundwater potential mapping. For determining the status of the integrated approach, a systematic review of 94 directly relevant papers were carried out over the six previous years (2015-2020). According to the literature review, the number of studies published annually increased rapidly over time. The total study area spanned 15 countries, and 85.1% of studies focused on Iran, India, China, South Korea, and Iraq. 20 variables were found to be frequently involved in groundwater potential investigations, of which 9 factors are almost always present namely slope, lithology (geology), land use/land cover (LU/LC), drainage/river density, altitude (elevation), topographic wetness index (TWI), distance from river, rainfall, and aspect. The data integration was carried random forest, support vector machine and boost regression tree among the machine learning techniques. Our study shows that for optimal results, groundwater mapping must be used as a tool to complement field work, rather than a low-cost substitute. Consequently, more study should be conducted to enhance the generalization and precision of groundwater potential map.

Study on the Openness of International Academic Papers by Researchers in Library and Information Science Using POI (Practical Openness Index) (POI(Practical Openness Index)를 활용한 문헌정보학 연구자 국제학술논문의 개방성 연구)

  • Cho, Jane
    • Journal of Korean Library and Information Science Society
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    • v.52 no.2
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    • pp.25-44
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    • 2021
  • In a situation where OA papers are increasing, POI, which indexes how open the research activities of individual researchers are, is drawing attention. This study investigated the existence of OA papers and the OA method published in international academic journals by domestic LIS researchers, and derived the researchers' POI based on this. In addition, by examining the relationship between the POI index and the researcher's amount of research papers, the research sub field, and the foreign co-authors, it was analyzed whether these factors are relevant to the researcher's POI. As a result, there were 492 papers by 82 researchers whose OA status and method were normally identified through Unpaywall. Second, only 20.7% of papers published in international journals were open accessed, and almost cases were gold and green methods. Third, there were many papers in text mining in medical journals, and the papers opened in the green method are open in institutional repositories of foreign co-authors or transnational subject repositories such as PMC. Third, the POI index was relatively higher for researchers in the field of informetrics, machine learning than other fields. In addition, it was analyzed that the presence or absence of overseas co-authors is related to OA.