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A Study on the Information Protection Intention of Digital Healthcare Service Providers (디지털 헬스케어 서비스 제공자의 정보보호의도에 관한 연구)

  • Yang, Chang-Gyu
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.4
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    • pp.163-172
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    • 2022
  • This study investigates the IPI (Information Protection Intention) of DHS (Digital Healthcare Service) providers by introducing PMT (Protection Motivation Theory). This study examines the effects of protection motivation, such as threat appraisal and coping appraisal, on IPI, such as ICI(Induction Control Intention) and SDI(Self Defense Intention). The research model, based on the PMT, adopted severity, vulnerability, reaction efficacy and self-efficacy as independent variables. The research model was validated through quantitative research, a survey of 222 DHS providers in South Korea, using structural equation modeling. The results show that (1) a clear awareness of the consequences of security threats increases the understanding of DHS providers on the severity of closure of healthcare information, and thus may decreases abuse of DHS by providers; (2) user confidence and satisfaction on the security system may make them be confident that they can handle the closure of healthcare information by themselves; and (3) although DHS providers are realizing the consequences of closure of healthcare information, they think that they are unlikely to encounter such situations. As a result of this study, venture companies that provide DHS need to provide contents that can continuously increase providers' security level in order to increase providers' information protection intention. It suggests that IPI is important through trust of healthcare service providers.

Financial Products Recommendation System Using Customer Behavior Information (고객의 투자상품 선호도를 활용한 금융상품 추천시스템 개발)

  • Hyojoong Kim;SeongBeom Kim;Hee-Woong Kim
    • Information Systems Review
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    • v.25 no.1
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    • pp.111-128
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    • 2023
  • With the development of artificial intelligence technology, interest in data-based product preference estimation and personalized recommender systems is increasing. However, if the recommendation is not suitable, there is a risk that it may reduce the purchase intention of the customer and even extend to a huge financial loss due to the characteristics of the financial product. Therefore, developing a recommender system that comprehensively reflects customer characteristics and product preferences is very important for business performance creation and response to compliance issues. In the case of financial products, product preference is clearly divided according to individual investment propensity and risk aversion, so it is necessary to provide customized recommendation service by utilizing accumulated customer data. In addition to using these customer behavioral characteristics and transaction history data, we intend to solve the cold-start problem of the recommender system, including customer demographic information, asset information, and stock holding information. Therefore, this study found that the model proposed deep learning-based collaborative filtering by deriving customer latent preferences through characteristic information such as customer investment propensity, transaction history, and financial product information based on customer transaction log records was the best. Based on the customer's financial investment mechanism, this study is meaningful in developing a service that recommends a high-priority group by establishing a recommendation model that derives expected preferences for untraded financial products through financial product transaction data.

Analysis of Land Creep in Ulju, South Korea (울주에서 발생한 땅밀림 특성)

  • Jae Hyeon Park;Sang Hyeon Lee;Han Byeol Kang;Hyun Kim;Eun Seok Jung
    • Journal of Korean Society of Forest Science
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    • v.113 no.1
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    • pp.14-30
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    • 2024
  • This study characterized areas at risk of land creep by focusing on a site that has undergone this phenomenon in Ulju-gun, South Korea. Land creep in the area of interest was catalyzed by road expansion work conducted in 2022. The site was examined on the basis of its geological features, topography, effective soil depth, soil hardness, electrical resistivity, and subsurface profile. It consists of a slope covered with sparse vegetation and a concave top that retains rainwater during rainfall. Compositionally, land creep affected the shale, sandstone, and conglomerate formations on the site, which had little silt and more sand and clay compared with areas that were unaffected by land creep. An electrical resistivity survey enabled us to detect a groundwater zone at the site, which explains the softness of the soil. Finally, the effective soil depth at the land creep-affected area was 30.4 cm on average, indicating deep colluvial deposits. In contrast, unaffected sites had an effective soil depth of 24.7 cm on average. These results should facilitate the creation of systems for monitoring and preemptively responding to land creep, significantly mitigating the socioeconomic losses associated with this phenomenon.

Study on Developing the Information System for ESG Disclosure Management (ESG 정보공시 관리를 위한 정보시스템 개발에 관한 연구)

  • Kim, Seung-wook
    • Journal of Venture Innovation
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    • v.7 no.1
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    • pp.77-90
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    • 2024
  • While discussions on ESG are actively taking place in Europe and other countries, the number of countries pushing for mandatory ESG information disclosure related to non-financial information of listed companies is rapidly increasing. However, as companies respond to mandatory global ESG information disclosure, problems are emerging such as the stringent requirements of global ESG disclosure standards, the complexity of data management, and a lack of understanding and preparation of the ESG system itself. In addition, it requires a reasonable analysis of how business management opportunities and risk factors due to climate change affect the company's financial impact, so it is expected to be quite difficult to analyze the results that meet the disclosure standards. In order to perform tasks such as ESG management activities and information disclosure, data of various types and sources is required and management through an information system is necessary to measure this transparently, collect it without error, and manage it without omission. Therefore, in this study, we designed an ESG data integrated management model to integrate and manage various related indicators and data in order to transparently and efficiently convey the company's ESG activities to various stakeholders through ESG information disclosure. A framework for implementing an information system to handle management was developed. These research results can help companies facing difficulties in ESG disclosure at a practical level to efficiently manage ESG information disclosure. In addition, the presentation of an integrated data management model through analysis of the ESG disclosure work process and the development of an information system to support ESG information disclosure were significant in the academic aspects needed to study ESG in the future.

Changes in Floating Population Distribution in Jeju Island Tourist Destinations Before and After COVID-19 Using Spatial Big Data Analysis (공간 빅데이터 분석을 활용한 COVID-19 전후 제주도 관광지의 유동인구 분포 변화)

  • Heonkyu Jeong;Yong-Bok Choi
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.1
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    • pp.12-28
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    • 2024
  • This study aims to identify the trend of changes in tourist floating population before and after COVID-19 in major tourist destinations in Jeju Island through spatial analysis. Seongsan-eup and Andeok-myeon in Jeju Island were selected as the research area, and the research period was set at 1 year before and 2 years after the COVID-19 outbreak. For the analysis, mobile floating population data was refined and processed to calculate floating population distribution and floating population increase/decrease data. This was converted into spatial data and an overlay analysis was performed with location data of major tourist attractions. As a result of the analysis, it was confirmed that the floating population of indoor tourist attractions and small facilities decreased immediately after COVID-19, and that in open coastal areas or large facilities, the floating population decreased less or actually increased. In conclusion, in tourism development, it is necessary to identify changes in floating population according to the characteristics of tourist facilities, and it is necessary to develop tourism facilities and strategies that can respond to risk situations such as pandemics when developing tourist destinations.

Spectrum Analysis and Detection of Ships Based on Aerial Hyperspectral Remote Sensing Experiments (항공 초분광 원격탐사 실험 기반 선박 스펙트럼 분석 및 탐지)

  • Jae-Jin Park;Kyung-Ae Park;Tae-Sung Kim;Moonjin Lee
    • Journal of the Korean earth science society
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    • v.45 no.3
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    • pp.214-223
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    • 2024
  • The recent increase in maritime traffic and coastal leisure activities has led to a rise in various marine accidents. These incidents not only result in damage to human life and property but also pose a significant risk of marine pollution involving oil and hazardous and noxious substances (HNS) spills. Therefore, effective ship monitoring is crucial for preparing and for responding to marine accidents. This study conducted an aerial experiment utilizing hyperspectral remote sensing to develop a maritime ship monitoring system. Hyperspectral aerial measurements were carried out around Gungpyeong Port in the western coastal region of the Korean Peninsula, and spectral libraries were constructed for various ship decks. The spectral correlation similarity (SCS) technique was employed for ship detection, analyzing the spatial similarity distribution between hyperspectral images and ship spectra. As a result, 15 ships were detected in the hyperspectral images. The color of each ship's deck was classified based on the highest spectral similarity. The detected ships were verified by matching them with high-resolution digital mapping camera (DMC) images. This foundational study on the application of aerial hyperspectral sensors for maritime ship detection demonstrates their potential role in future remote sensing-based ship monitoring systems.

Diffusion Characteristics Based on the Gas Leakage Direction and Air Change per Hour in a Enclosed Space on Board a Ship (밀폐된 선내 공간에서 가스 누출방향과 환기횟수에 따른 확산특성)

  • Seong Min Lee;Ha Young Kim;Byeol Kim;Kwang Il Hwang
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.2
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    • pp.165-175
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    • 2024
  • Hydrogen is being touted as one of the energy sources to combat the climate change crisis. However, hydrogen can leak into enclosed spaces, rise to the ceiling, accumulate, and cause fires and explosions if it encounters an ignition source. In particular, ships that transport hydrogen or use it as a fuel comprise multiple enclosed spaces. Therefore, the dif usion characteristics within these spaces must be understood to ensure the safe use of hydrogen. The purpose of this study is to experimentally determine the diffusion characteristics of helium, which has similar properties to hydrogen, in a closed space on board a ship, and to determine the change in the oxygen concentration along the leakage direction as the air change per hour(ACH) increases to 25, 30, 35, 40, and 45 through CFD simulation. The study, results revealed that the oxygen concentration reduction rate was 2% for leakage in the -z direction and 1% for leakage in the +x and +z directions, and the ventilation time was 15 min 30 s for leakage in the -z direction, 7 min for leakage in the +x direction, and 9 min for leakage in the +z direction, showing that differences existed in the oxygen concentration and ventilation time depending on the leakage direction. In addition, no significant difference was observed in the rate of oxygen concentration reduction and ventilation time in all leakage directions from the ACH of 35 and above in the experimental space. Therefore, because the oxygen concentration and ventilation time were not improved by increasing the ACH, 35 was noted as the optimal ACH in this experimental environment.

The Effect of Creative Musical on School Adaptation and Self-efficacy of School Maladjusted Adolescents (창작음악극이 학교부적응 청소년의 학교적응 및 자기효능감에 미치는 효과)

  • Kim, Hyun Jung
    • Journal of the International Relations & Interdisciplinary Education
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    • v.4 no.2
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    • pp.1-19
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    • 2024
  • This study examined the effects of creative musical on school adaptation and self-efficacy improvement of school maladjusted adolescents. The subjects of this study were 229 students classified as suspected school maladjustment groups through Wee class counselors and students who were judged as at-risk groups as a result of the emotional behavioral evaluation test conducted by the Office of Education. The study period consisted of 100 minutes per session once a week from May 1st to October 31st, 2023, and a total of 15 sessions were held. To verify the effectiveness, a self-efficacy scale (SES) of Kim A-young (2002)'s school adaptation scale and Sherer et al. (1982) was conducted before and after the creative musical, and the results were analyzed through the corresponding t-test. As a result of the study, the subject's school adaptation (p<.05) and the sub-factors of companionship (p<.05), school class (p<.05), and school rules (p<.05) all increased and were statistically significant after the creative musical compared to before. The subject's self-efficacy (p<.01) and the sub-factors of the study, general self-efficacy (p<.01), and social self-efficacy (p<.05) also increased and were statistically significant after the creative musical compared to before it was conducted. Therefore, this study revealed that creative musicals are effective in improving school adaptation and self-efficacy of school maladjusted adolescents.

A Study on Conflict Prevention in the Site Selection of National Defense Facility Relocation Projects (중대재해 처벌 법의 실효성 제고를 위한 법적 쟁점 분석 및 경영자 안전보건관리 전략에 대한 연구)

  • Hoon Han
    • The Journal of the Convergence on Culture Technology
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    • v.10 no.5
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    • pp.253-260
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    • 2024
  • This study aims to analyze the key legal issues of the Serious Accidents Punishment Act (SAPA), which came into effect on 2022, in South Korea, and to propose practical occupational safety and health management strategies for business executives. The SAPA was introduced to prevent serious industrial accidents and protect workers' lives and safety. However, its effectiveness has been controversial due to the ambiguity of the law and uncertainty in its application. The study first provides an overview of the SAPA's main provisions and analyzes legal issues focusing on the punishment of business executives and the punitive damages system. Key issues identified include the ambiguity of "safety and health obligations," difficulties in proving causality, and unclear criteria for determining intent or gross negligence. Recent cases of serious accidents are examined to illustrate practical challenges in applying the law. Furthermore, the study compares the punitive damages system under the SAPA with that of the Product Liability Act and similar systems in the United States, United Kingdom, and Germany. This comparative analysis highlights the characteristics and problems of the Korean system, such as the unclear punitive nature, controversy over excessive compensation, and potential for abuse of litigation. Finally, the study proposes practical occupational safety and health management strategies for business executives to effectively respond to the SAPA and create safer workplaces. Key strategies include establishing a safety and health management system, conducting risk assessments, implementing safety education, managing subcontractor safety, and investing in safety and health.

Evaluation of Stability of Small Modular Reactor (SMR) Power Ship in Waves (소형 모듈 원자력(SMR) 발전 선박의 파랑 중 안정성 평가)

  • Kyoungwan Lee;Sundon Choi;Byungyoung Moon
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.30 no.5
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    • pp.499-505
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    • 2024
  • To address the issue of global warming, various regulations and policies for reducing greenhouse gas emissions are being implemented. In this context, the number of countries targeting carbon neutrality, the latter of which entails reducing net carbon emissions to zero, is increasing, and small modular reactors (SMRs) are investigated extensively as a new model for power plants. SMRs, although measuring only 5%-10% of the size of conventional large nuclear power plants, are highly efficient systems that can generate hundreds of megawatts of power. Compared with fossil fuel-based power plants, SMRs generate less carbon emissions and can complement the unstable energy supply from renewable sources. However, the use of SMRs is opposed by local residents owing to the risk of significant radioactive-material leakage when a nuclear-power-plant accident occurs. Hence, floating, small nuclear-power vessels are being investigated and installed in the ocean, thus simplifying the process of securing land, compensating nearby residents, and increasing safety against natural disasters. In this study, the towing stability of SMR power ships is analyzed, and the result shows no significant risk of towing to the destination in sea states 3, 4, and 5.