• Title/Summary/Keyword: 모델 이해

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A Study on the Background of Start-Ups and the Factors of Entrepreneurship in Young Job Seekers' Willingness to Start a Business: Verification of the Mediating Effect of Perception of Businessmen (청년구직자의 창업 배경과 기업가정신이 창업 의지에 미치는 요인에 관한 연구: 사업가에 대한 인식의 매개 효과 검증)

  • Oh, Hee Shun;Ha, Kyu Soo
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.16 no.3
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    • pp.87-103
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    • 2021
  • The government is trying to create jobs by providing 160 billion won in 2021 to revitalize youth start-ups, but the number of youth unemployment and potential unemployment is hitting a record high of 1.2 million due to the shock of employment due to COVID-19. Although start-ups are encouraged as an alternative to revitalizing jobs, the success rate of young start-ups is low due to lack of start-up funds and experience. The purpose of this study is to understand the need to diversify start-up education and career education by understanding start-up policies through one-time funding and short-term education. The results of the study on the factors affecting the willingness to start a business were as follows, by sampling 344 students from specialized high schools preparing for employment and 344 young people in their 20s who are seeking jobs. First, among the entrepreneurship subvariables, innovation, autonomy of job value, and desire for economic achievement are significant, and the older the person surveyed, the more positive the perception of the entrepreneur was. Second, as you get older, your will to start a business decreases, and your experience in successful start-up models and start-up education has an impact on your will to start a business. Third, perception of entrepreneurs is a partial medium effect, which indirectly influences the willingness to start a business and directly or indirectly influences the willingness to start a business through the autonomy of job values, the desire to achieve economic and entrepreneurship.

A Case Study on the Effect of the Artificial Intelligence Storytelling(AI+ST) Learning Method (인공지능 스토리텔링(AI+ST) 학습 효과에 관한 사례연구)

  • Yeo, Hyeon Deok;Kang, Hye-Kyung
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.495-509
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    • 2020
  • This study is a theoretical research to explore ways to effectively learn AI in the age of intelligent information driven by artificial intelligence (hereinafter referred to as AI). The emphasis is on presenting a teaching method to make AI education accessible not only to students majoring in mathematics, statistics, or computer science, but also to other majors such as humanities and social sciences and the general public. Given the need for 'Explainable AI(XAI: eXplainable AI)' and 'the importance of storytelling for a sensible and intelligent machine(AI)' by Patrick Winston at the MIT AI Institute [33], we can find the significance of research on AI storytelling learning model. To this end, we discuss the possibility through a pilot study targeting general students of an university in Daegu. First, we introduce the AI storytelling(AI+ST) learning method[30], and review the educational goals, the system of contents, the learning methodology and the use of new AI tools in the method. Then, the results of the learners are compared and analyzed, focusing on research questions: 1) Can the AI+ST learning method complement algorithm-driven or developer-centered learning methods? 2) Whether the AI+ST learning method is effective for students and thus help them to develop their AI comprehension, interest and application skills.

An Analysis of the Relative Importance of Park Services for User-Oriented Smart Park Development (이용자 중심의 스마트공원 조성을 위한 공원서비스의 상대적 중요도 분석)

  • Lee, Ju-Yong;Lee, Hyung-Sook
    • Journal of the Korean Institute of Landscape Architecture
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    • v.49 no.4
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    • pp.55-63
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    • 2021
  • Interest in smart parks has been increasing due to the recent rapid rise of smart cities, but concerns are growing over the development of technology-oriented smart parks. The purpose of this study is to evaluate the relative importance of park services through Focus Group Interviews and the Analytic Hierarchy Process (AHP) to develop user-oriented smart parks in the future. To this end, literature on park functions and services was reviewed, and interviews with experts in the field of landscape architecture and IT were conducted to derive service items. The AHP model consisted of four values, and 15 park services were established and used to survey 38 landscape experts. As a result, services for improving the park's essential functions, such as contact with nature, relaxation, and exercise-walking, were deemed important. Services related to the environment and safety in response to climate change, such as the amelioration of pollution and heatwaves were also high. The importance of social integration services was relatively low, but it was considered an important service to when enhancing community participation. Future smart parks should enhance the health benefits of contact with nature rather than implementing excessive artificial facilities and technology. Additionally, smart technology will need to be applied based on users' needs while reflecting local characteristics. Efforts should be made to enhance user intimacy and improve the understanding of smart parks by strengthening public relations education.

Evaluation Research on the Protection and Regeneration of the Urban Historical and Cultural District of Pingjiang Road, Suzhou, China (중국 쑤저우 평강로 도시역사문화거리 보존 및 재생사업 평가연구)

  • Geng, Li;Yoon, Ji-Young
    • The Journal of the Korea Contents Association
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    • v.21 no.5
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    • pp.561-580
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    • 2021
  • This study analyses the historical and cultural streets at Pinggang Road in the city of Suzhou, by understanding the development and conservation of the area, and uses the following ways to investigate its development, re-organization, and current state. This paper comprehensively compares, collates and investigates 4 different historical and cultural areas in Insadong and Samcheong-dong in South Korea, and South Luogu Lane in China. From initial research and analysis, this paper gathers the cultural, economic, and societal perspectives as non-physical measures, and spatial structure, road structure, and building maintenance as physical factor framework. It is significant in that it can provide an evaluation model for the preservation and regeneration of historical and cultural streets by presenting the viewpoint of complex development of non-physical and physical elements in Pyeonggang-ro. In addition, it is necessary to conduct optimization and specific research on insufficient areas, such as maintenance and development of programs and signature systems for visitors, and continuous development of historical and cultural network platforms by combining on-site surveys. Basic data should be provided for reference on the street.

Understanding Over The Top(OTT) and Continuance Intention to Use OTT: Impacts of OTT Characteristics and Price Fairness (Over The Top(OTT)의 지속이용의도에 대한 이해: OTT 특성과 가격공정성의 영향)

  • Park, Hyunsun;Kim, Sanghyun;Sohn, Changyong
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.203-225
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    • 2022
  • Competition in the OTT (Over the Top) service market is getting fiercer since global OTT services enter the domestic market and existing platforms are actively reorganized. As powerful competitors with ultra-luxurious content continue to enter the marke with diversity required by users, various efforts are required for OTT service platforms to prevent subscriber churn in order to generate continuous revenue. Thus, this study tried to examine the effect of OTT service characteristics on continuous use intention through an empirical analysis based on Expectation-Confirmation Model(ECM). A total of 386 responses were collected from individuals who have experience or are currently using OTT service and analyzed using AMOS 24. Results show that content curation, content richness, and audience activity had a significant effect on expectation confirmation. Also, expectation confirmation had a significant effect on perceived usefulness and user satisfaction while perceived usefulness had a significant effect on user satisfaction, significantly influencing continuous intention to use OTT. Finally, price fairness was found to strengthen all proposed relationships. The findings are expected to provide useful information for service and content development for subscriber retention, which has the most direct impact on revenue generation of OTT service providers.

A Study on Transaction Service of Virtual Real Estate based on Metaverse (메타버스 기반 가상부동산 거래 서비스 연구)

  • Yoo, Jongyoung
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.2
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    • pp.83-88
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    • 2022
  • The purpose of this study is to present an analysis and implications for the metaverse-based virtual real estate transaction service. Through blockchain-based technology and metaverse, the world we live in is expanding naturally. Therefore, changes in the environment and perceptions of market participants are also very important factors. The concept and thinking about the existing asset value change and investment are also changing. This means that you can generate profits through value and investment in intangible assets. The service user aspect is a case of investing in the future value of virtual real estate that if more users participate rather than the present value, the principle of supply and demand will be applied to increase the number of consumers and the price will naturally rise according to the principle of scarcity. The service provider provides a technical platform for the service to directly transact the portion of the virtual area considered of interest directly through the virtual real estate purchase business. As the number of participants increases as well as funds and transaction fees, various revenue models such as advertisements can be discovered and provided. It plays the role of providing jobs and information through new services. As a stakeholder, governments can exploit the emergence of new technologies and products to create people and services and secure economic benefits. Of course, various institutional supports should be provided so that new services can settle in the market while mitigating risk factors. This study is meaningful in that it contributes to the establishment of a domestic metaverse-based environment and related research and is utilized in the study of virtual space real estate services.

A Numerical Study on the Step 0 Benchmark Test in Task C of DECOVALEX-2023: Simulation for Thermo-Hydro-Mechanical Coupled Behavior by Using OGS-FLAC (DECOVALEX-2023 Task C 내 Step 0 벤치마크 수치해석 연구: OGS-FLAC을 활용한 열-수리-역학 복합거동 수치해석)

  • Kim, Taehyun;Park, Chan-Hee;Lee, Changsoo;Kim, Jin-Seop
    • Tunnel and Underground Space
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    • v.31 no.6
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    • pp.610-622
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    • 2021
  • The DECOVALEX project is one of the representative international cooperative projects to enhance the understanding of the complex Thermo-Hydro-Mechanical-Chemical(THMC) coupled behavior in the high-level radioactive waste disposal system based on the numerical simulation. DECOVALEX-2023 is the current phase consisting of 7 tasks, and Task C aims to model the THM coupled behavior in the disposal system based on the Full-scale Emplacement (FE) experiment at the Mont-Terri underground rock laboratory. This study performs the numerical simulation based on the OGS-FLAC developed for the current study. In the numerical model, we emplaced the heater with constant power horizontally based on the FE experiment and monitored the pressure development, temperature increase, and mechanical deformation at the specific monitoring points. We monitored the capillary pressure as the primary effect inducing the flow in the buffer system, and thermal stress and pressurization were dominant in the surrounding rocks' area. The results will also be compared and validated with the other participating groups and the experimental data further.

A Study on the Use and Risk of Artificial Intelligence (Focusing on the eproperty appraiser industry) (인공지능의 활용과 위험성에 관한 연구 (감정 평가 산업 중심으로))

  • Hong, Seok-Do;You, Yen-Yoo
    • The Journal of the Korea Contents Association
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    • v.22 no.7
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    • pp.81-88
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    • 2022
  • This study is to investigate the perception of domestic appraisers about the possibility of using artificial intelligence (AI) and related risks from the use of AI in the appraisal industry. We conducted a mobile survey of evaluators from February 10 to 18, 2022. We collected survey data from 193 respondents. Frequency analysis and multiple response analysis were performed for basic analysis. When AI is used in the appraisal industry, factor analysis was used to analyze various types of risks. Although appraisers have a positive perception of AI introduction in the appraisal industry, they considered collateral, consulting, and taxation, mainly in areas where AI is likely to be used and replaced, mainly negative effects related to job losses and job replacement. They were more aware of the alternative risks caused by AI in the field of human labor. I was very aware of responsibilities, privacy and security, and the risk of technical errors. However, fairness, transparency, and reliability risks were generally perceived as low risk issues. Existing studies have mainly studied analysis methods that apply AI to mass evaluation models, but this study focused on the use and risk of AI. Understanding industry experts' perceptions of AI utilization will help minimize potential risks when AI is introduced on a large scale.

Development of A Quantitative Risk Assessment Model by BIM-based Risk Factor Extraction - Focusing on Falling Accidents - (BIM 기반 위험요소 도출을 통한 정량적 위험성 평가 모델 개발 - 떨어짐 사고를 중심으로 -)

  • Go, Huijea;Hyun, Jihun;Lee, Juhee;Ahn, Joseph
    • Korean Journal of Construction Engineering and Management
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    • v.23 no.4
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    • pp.15-25
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    • 2022
  • As the incidence and mortality of serious disasters in the construction industry are the highest, various efforts are being made in Korea to reduce them. Among them, risk assessment is used as data for disaster reduction measures and evaluation of risk factors at the construction stage. However, the existing risk assessment involves the subjectivity of the performer and is vulnerable to the domestic construction site. This study established a DB classification system for risk assessment with the aim of early identification and pre-removal of risks by quantitatively deriving risk factors using BIM in the risk assessment field and presents a methodology for risk assessment using BIM. Through this, prior removal of risks increases the safety of construction workers and reduces additional costs in the field of safety management. In addition, since it can be applied to new construction methods, it improves the understanding of project participants and becomes a tool for communication. This study proposes a framework for deriving quantitative risks based on BIM, and will be used as a base technology in the field of risk assessment using BIM in the future.

Exploring Predictors of Preventive Behavior against COVID-19:Centered on Korean Collegians' Social Distancing (코로나19 예방행동 영향요인의 탐색: 우리나라 대학생의 사회적 거리두기를 중심으로)

  • Joo, Jihyuk
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.488-496
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    • 2022
  • For over two years, after COVID-19 was first reported in the last quarter of 2019, the world has suffered from the pandemic. The Korean government has taken an initiative and has implemented a variety of policies to protect people from COVID-19. These policies have resulted in some suffering and inconvenience for people. In this context, we aim to find out what factors influence Korean college students' intention to social distance. We surveyed with Google's online survey tool(Google Form) for 116 Korean college students using a convenient sampling from December 30, 2020, to January 8, 2021. We put perceived susceptibility, perceived severity, perceived health status, level of involvement, and trust in the policy as independent variables into a multiple regression equation using the stepwise method. We found that intention to social distance was predicted by perceived susceptibility, level of involvement, and trust in the policy in the final model. The findings mean that the more people perceive themselves susceptible to COVID-19, and the more they get involved with COVID-19, and the more they trust their governmental policies on COVID-19, the more they agree on social distancing.