• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.115-126
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• 2022

The study's goal is to determine the amount of climate change's impact on ethnic minority (EM) households' livelihoods, as well as their adaptability to climate change and long-term viability. The research was conducted in Vietnam's Northwestern Sub-region, where ethnic minorities account for more than half of the overall population. The study uses a combination of qualitative and quantitative methods based on a survey of 480 households in 04 provinces severely affected by climate change in the Northwest sub-region of Vietnam. The results show that: climate change (extreme weather events) occurs with increasing frequency, mainly affecting the life expectancy, health, and capital of households; Vulnerable groups (women, ethnic minorities) have a poor adaptive capacity and mainly suffer the consequences of shocks, are afraid to change their livelihoods; Microfinance plays an important role in enhancing the sustainability of livelihoods through increasing capital and financial assets and reducing the vulnerability of ethnic minority households. Finally, research has some solutions for microfinance - special credit specifically for ethnic minority households in the Northwest Sub-region: support for microfinance advice, home credit with transition orientations to adapt to climate change response and relieves its impact on the social lives.

• International Journal of Computer Science & Network Security
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• 제22권3호
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• pp.129-134
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• 2022

The primary goal of any classroom is effective teaching and student learning, with an emphasis on changing negative students' behaviors into positive ones. This change can occur when students' behavior is always at the forefront of teachers' educational goals. The current study aimed to reveal the experiences of special education teachers in dealing with the behavioral problems that students with disabilities show by identifying behavioral problems among students with disabilities and investigating the efficacy of the application of behavior modification plans and strategies designed to address the behavioral problems presented by students with disabilities. The researcher used a qualitative phenomenological approach, and the study tool consisted of semi-structured interviews that consisted of (13) questions directed to (10) special education male and female teachers who work in special education centres and institutes. The data were analyzed using the thematic analysis method. The findings of the study showed that the most undesirable behaviors prevalent among students with disabilities in the classroom were aggression, bullying and ADHD. The actions taken by teachers in confronting these behaviors were not systematic and were carried out randomly, as no behavior modification plans were applied. The most important strategies used by teachers in facing behavioral problems were applied behavioral analysis (ABA) strategies such as reinforcement, punishment and ignoring. The results have many important implications for future practice, including the need to conduct practical training courses for special education teachers to implement behavior modification plans and develop methods of measuring inappropriate behavior.

• International Journal of Internet, Broadcasting and Communication
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• 제14권2호
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• pp.212-218
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• 2022

In this paper, the necessity of AI video interview arises when conducting an interview for acquisition of excellent talent in a non-face-to-face situation due to similar situations such as Covid-19. As a matter to be supplemented in general AI interviews, it is difficult to evaluate the reliability and qualitative factors. In addition, the AI interview is conducted not in a two-way Q&A, rather in a one-sided Q&A process. This paper intends to fuse the advantages of existing AI interviews and video interviews. When conducting an interview using AI image analysis technology, it supplements subjective information that evaluates interview management and provides quantitative analysis data and HR expert data. In this paper, image-based multi-modal AI image analysis technology, bioanalysis-based HR analysis technology, and web RTC-based P2P image communication technology are applied. The goal of applying this technology is to propose a method in which biological analysis results (gaze, posture, voice, gesture, landmark) and HR information (opinions or features based on user propensity) can be processed on a single screen to select the right person for the hire.

• The Journal of Asian Finance, Economics and Business
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• 제9권5호
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• pp.431-441
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• 2022

Many new challenges in different sectors have emerged due to societal growth, and researchers are needed to help solve them; and Google Scholar is a tool to assist researchers in doing so. The goal of this study is to figure out what characteristics influence how effective the Google Scholar tool is for Vietnamese university students. The study focuses on analyzing and explaining the interplay between the independent variables Perceived of Google Scholar, Perceived ease of use, Comprehensiveness and subjective norm, Perceived Satisfaction for the dependent variable Perception of usefulness. The study was carried out using quantitative and qualitative methods with 280 data points collected online through the survey link. The methods used to test the scale such as Cronbach alpha, CFA, SEM, One sample T-test, Independent Sample T-test, and One-way Anova are used to find the correlation between factors such as gender, Age, and Majors that affect the students' perception of the usefulness of google scholar. The results show that all the factors suggested in the model have a significant impact on the perceived usefulness of Google scholar. Furthermore, research shows that Google Scholar is an important academic search engine for Vietnamese students.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.262-270
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• 2022

In the past two decades, there has been an increasing interest in project knowledge management, as knowledge is a crucial resource for project management success. Knowledge capture and sharing are two effective project management practices. Capturing and sharing project knowledge has become more efficient due to technological advances. Nevertheless, present technologies face several technical, functional, and usage obstacles and constraints. Thus, Blockchain technology might provide promising answers, yet, there is still a dearth of understanding regarding the technology's proper and practical application. Consequently, the goal of this study was to fill the gap in the literature about the adoption of Blockchain technology and to investigate the project stakeholders' acceptance and willingness to utilize the technology for capturing and sharing project knowledge. Due to this inquiry's exploratory and inductive characteristics, qualitative research methodology was used, namely the Grounded Theory research approach. Accordingly, eighteen in-depth, semi-structured interviews were conducted to collect the data. Concurrent data collection and analysis were undertaken, with findings emerging after three coding steps. Four influencing factors and one moderating factor were identified as affecting users' acceptance of Blockchain technology for capturing and sharing project knowledge. Consequently, the results of the study aimed to fill a gap in the existing literature by undertaking a comprehensive analysis of the unrealized potential of Blockchain technology to improve knowledge capture and sharing in the project management environment.

• Journal of Smart Tourism
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• 제2권1호
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• pp.21-31
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• 2022

This review paper aims at providing a systematic analysis of articles published in various journals and related to the uses and business applications of big data. The goal is to provide a holistic picture of the place of big data in the tourism industry. The reviewed articles have been selected for the period 2013-2020 and have been classified into 8 broad categories namely business strategy and firm performance; banking and finance; healthcare; hospitality; networks and telecommunications; urbanism and infrastructures; law and legal regulations; and government. While the categories are reflective of components of tourism industries and infrastructures, the meta-analysis is organized around 3 broad themes: preferred research contexts, conceptual developments, and methods used to research big data business applications. Main findings revealed that firm performance and healthcare remain popular contexts of research in the big data realm, but also demonstrated a prominence of qualitative methods over mixed and quantitative methods for the period 2013-2020. Scholars have also investigated topics involving the notions of competitive advantage, supply chain management, smart cities, but also ethics and privacy issues as related to the use of big data.

• 산업경영시스템학회지
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• 제47권2호
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• pp.57-64
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• 2024

The use of big data needs to be emphasized in policy formulation by public officials in order to improve the transparency of government policies and increase efficiency and reliability of government policies. 'Hye-Ahn', a government-wide big data platform was built with this goal, and the subscribers of 'Hye-Ahn' has grown significantly from 2,000 at the end of 2016 to 100,000 at August 2018. Additionally, the central and local governments are expanding their big data related budgets. In this study, we derived the costs and benefits of 'Hye-Ahn' and used them to conduct an economic feasibility analysis. As a result, even if only some quantitative benefits are considered without qualitative benefits, the net present value, the benefit/cost, and internal rate of return turned out to be 22,662 million won, 2.3213, and 41.8%, respectively. Since this is larger than the respective comparison criteria of 0 won, 1.0, and 5.0%, it can be seen that 'Hye-Ahn' has had economic feasibility. As noticed earlier, the number of analysis using 'Hye-Ahn' is increasing, so it is expected that the benefits will increase as time passes. Finally, the socioeconomic value gained when the results of analysis using 'Hye-Ahn' are used in policy is expected to be significant.

• 벤처창업연구
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• 제15권1호
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• pp.71-94
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• 2020

우리나라의 혁신클러스터 정책은 지역균형발전을 목표로 2005년부터 본격적으로 추진되었다. 본 연구는 판교테크노밸리를 사례로 혁신클러스터 입주기업의 지속가능성에 영향을 미치는 요인을 조사하는 것을 목적으로 한다. 판교테크노밸리는 중앙정부 보다는 지자체(경기도)의 주도하에 건립되었고 '한국의 실리콘밸리', '아시아 실리콘밸리' 등으로 불리며 대표성이 커지고 있다. 성장하고 있는 판교테크노밸리는 2016년 대비 2017년에 입주기업 수가 감소하는 현상이 발생하였고, 2019년을 기점으로 판교테크노밸리의 비즈니스 생태계가 변할 수 있는 이슈(기업의 입지 이전 가능 이슈)가 발생하기 때문이다. 본 논문에서는 영향 요인을 조사하기 위해 양적 및 질적 연구를 통합하여 진행하였다. 설문조사를 기반으로 양적연구를 진행하고 인터뷰를 통한 질적 연구를 적용하였다. 양적 연구에서는 판교테크노밸리의 지속가능성에 영향을 주는 요인을 조사하였고, 질적 연구에서는 양적 연구결과에 대한 구체적인 이유와 추가적인 요인을 조사하였다. 양적 연구결과 기업내부여건변화, 인적·물적 인프라, 협력 및 시너지, 입주 형태 범주에서 지속가능성에 대한 영향력을 발휘하는 요인들이 나타났다. 영향력에 대한 구체적 이유는 질적 연구과정에선 나타났다. 지자체의 지원 범주는 양적 연구에서 의미있는 요인이 나타나지 않았다. 추가적으로 질적 연구를 통해 지속가능성에 영향을 가장 크게 발휘하는 범주로 '판교테크노밸리의 좋은 이미지'가 제시되었다. 판교테크노밸리 내 협력네트워크 활성화에 대해서는 기업들이 수동적인 자세를 취하고 있으며 지자체의 역할을 기대하고 있는 것으로 나타났다. 따라서 본 논문에서는 판교테크노밸리가 지속가능하기 위한 방안으로 현실적인 방안과 이상적인 방안을 함께 제시하였다.

• 한국사회복지학
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• 제63권3호
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• pp.55-82
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• 2011

이 연구는 Creswell과 Clark(2007)의 혼합방법론 중 내재적 모형(embedded design)을 활용하여 장애아동청소년 거주서비스의 쟁점을 다양한 측면에서 탐색하고자 한 것이다. 그동안 장애인복지는 상대적으로 성인장애인을 중심으로 쟁점들이 도출되었고 주도되었다. 그 과정에서 장애아동청소년은 상대적으로 소외되는 경향이 나타났으며, 거주시설의 장애아동청소년은 더욱 열악한 상황에 놓여 있었다. 이러한 국내 현실에 근거하여 본 연구는 현재 거주시설 장애아동청소년이 당면하고 있는 주요 쟁점은 무엇인지를 심층적으로 규명하고자 한 것이다. 연구결과, 질적 분석에서는 아동청소년으로서의 지위 부재, 입소에 대한 완충장치의 미비, 별도의 시설과 관련한 의견의 혼재, 생애주기 관련 서비스 및 성인기 전환서비스 부족, 중증 장애아동청소년 서비스의 한계, 법적 지원체계의 미비, 인적자원의 보충과 질 관리가 필요함이 주요쟁점으로 제시되었다. 양적분석에서는 거주서비스의 목표와 기능, 연령 및 장애유형별 구분, 서비스 수요 및 공급에 관한 의견 조사를 실시하였고, 그 결과를 질적 연구의 결과에 내재시켜 장애아동청소년 거주서비스의 쟁점 논의에 통합하였다. 이 연구는 거주시설 장애아동 청소년이 당면한 실제적 쟁점을 혼합방법론을 활용하여 있는 그대로 드러내고 분석하고자 한 최초의 탐색적 시도라는 점에 그 의의가 있으며, 향후 기초 연구로서 관련 연구의 논의 확장에 기여할 것으로 본다.

• 대한토목학회논문집
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• 제39권6호
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• pp.913-921
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• 2019

정부는 최고 가치와 글로벌 스탠다드를 추구한다는 목표 아래 2016년 종합심사낙찰제도를 도입하였다. 하지만 종합심사낙잘체도에 반영되는 시공평가의 평가기준은 객관성 부족, 주관적 평가 항목 다수 포함, 평가 항목별 가중치 비합리성 등의 문제가 지속적으로 제기 되고 있으며 중앙부처, 지자체, 관련 업계, 전문가 집단 모두 그 인식을 같이하고 있으나 해결 방안을 도출하지 못하고 있는 실정이다. 따라서 본 연구는 시공평가의 객관성 확보를 위해 개선이 필요한 주요 평가항목을 도출하고 그 특성을 분석하였다. 분석 방법은 시공평가 평가기준이 모두 4점 척도(우수, 보통, 미흡, 불량)로 구성된 특성을 활용하여 표준편차, Fleiss Kappa 분석 방법을 활용하였으며, 그 결과 총 25개로 구성된 시공평가의 평가항목 중 10개의 평가항목이 개선이 필요한 평가항목으로 도출되었다. 도출된 평가 항목의 주요 특성을 분석한 결과 세부 평가지침에 '매우적정', '적정'과 같은 정성적 평가 기준이 공통으로 포함된 것을 확인할 수 있었다. 따라서, 향후 시공평가의 평가기준은 정성적 평가기준은 지양하고 객관성 확보가 가능한 정량적 평가기준 중심으로 개선되어야 할 것으로 판단된다.