• 제목/요약/키워드: Hypothesis test

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A Study on the Role of Models and Reformulations in L2 Learners' Noticing and Their English Writing (제2 언어학습자의 주목 및 영어 글쓰기에 대한 모델글과 재구성글의 역할에 관한 연구)

  • Hwang, Hee Jeong
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.426-436
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    • 2022
  • This study aimed to explore the role of models and reformulations as feedback to English writing in L2 learners' noticing and their writing. 92 participants were placed into three groups; a models group (MG), a reformulations group (RG), a control group (CG), involved in a three-stage writing task. In stage 1, they were asked to perform a 1st draft of writing, while taking notes on the problems they experienced. In stage 2, the MG was asked to compare their writing with a model text and the RG with a reformulated version of it. They were instructed to write down whatever they noticed in their comparison. The CG was asked to just read their writing. In stage 3, all the participants attempted subsequent revisions. The results indicated that all the participants noticed problematic linguistic features the most in a lexical category, and models and reformulations led to higher rate of noticing the problematic linguistic features reported in stage 1 and contributed to subsequent revisions. It was also revealed that the MG and RG significantly improved with their writings of MG and RG on the post-writing test. The findings imply that models and reformulations result in better performance in L2 writing and should be promoted in an English writing class.

A Study on the Policy Direction for the Introduction and Activation of Smart Factories by Korean SMEs (우리나라 중소기업의 스마트 팩토리 수용 및 활성화 제고를 위한 정책 방향에 대한 연구)

  • Lee, Yong-Gyu;Park, Chan-Kwon
    • Korean small business review
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    • v.42 no.4
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    • pp.251-283
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    • 2020
  • The purpose of this study is to provide assistance to the establishment of related policies to improve the level of acceptance and use of smart factories for SMEs in Korea. To this end, the Unified Technology Acceptance Model (UTAUT) was extended to select additional factors that could affect the intention to accept technology, and to demonstrate this. To achieve the research objective, a questionnaire composed of 7-point Likert scales was prepared, and a survey was conducted for manufacturing-related companies. A total of 136 questionnaires were used for statistical processing. As a result of the hypothesis test, performance expectation and social influence had a positive (+) positive effect on voluntary use, but effort expectation and promotion conditions did not have a significant effect. As an extension factor, the network effect and organizational characteristics had a positive (+) effect, and the innovation resistance had a negative effect (-), but the perceived risk had no significant effect. When the size of the company is large, the perceived risk and innovation resistance are low, and the level of influencing factors for veterinary intentions, veterinary intentions, and veterinary behaviors are excluded. Through this study, factors that could have a positive and negative effect on the adoption (reduction) of smart factory-related technologies were identified and factors to be improved and factors to be reduced were suggested. As a result, this study suggests that smart factory-related technologies should be accepted.

Entrepreneurship in Entertainment Industry: Marketing Self-efficacy and Start-up Intention (엔터테인먼트 산업의 기업가 정신 : 마케팅 효능감과 창업의지)

  • Kim, Jung-Rae
    • Journal of Korea Entertainment Industry Association
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    • v.14 no.8
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    • pp.1-9
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    • 2020
  • Self-efficacy and entrepreneurial self-efficacy on the positive effects of entrepreneurial intention are well developed in past research but marketing self-efficacy, linked to the competencies of marketing field and is closely related to self-efficacy and entrepreneurial self-efficacy has not received enough attention on the prediction of start-up intention despite marketing and entrepreneurship are crucial when creating a start-up. Moreover, there have been several empirical studies but, most of the previous studies have focused on university students majoring in business and economics. Therefore, there is still little understanding of the effect of marketing self-efficacy on start-up intention. The purpose of this study then was to investigate the effect of marketing self-efficacy on start-up intention for college students majoring in entertainment-related studies. Questionnaires were employed to collect data from three universities in Korea. A total of 120 completed questionnaires were returned. Logistic regression analysis was used to test the hypothesis. The results indicate that marketing self-efficacy was positively and significantly related to start-up intention. The results of this study empirically confirmed that university students majoring in entertainment-related studies with high marketing self-efficacy are more likely to desire to create a start-up. These results suggest theoretical and practical implications.

A study on the Effect of Quality Characteristics of M2M Big Data providing real-time Information on User Satisfaction (실시간 정보를 제공하는 M2M 빅데이터 품질특성이 사용자 만족에 미치는 영향에 대한 연구 - 버스기사의 교통정보 시스템 중심으로 -)

  • DongSik, Yang;DongJin, Park;YunJae, Lee
    • Journal of Korea Society of Industrial Information Systems
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    • v.27 no.6
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    • pp.25-40
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    • 2022
  • This study is about how the quality of M2M big data that provides real-time information affects users. Recently, there are many difficulties in acquiring and managing data because data types such as variety, data volume, and data velocity are changing rapidly and diversified. This not only leads to a decrease in data quality but also it can give a negative impact when making decisions using data. Generally, the quality of data is defined as 'suitability for use', which means that data quality must meet the expectations of user needs. Therefore, data providers need activities to improve data quality for this purpose, and the key is to identify data quality dimensions in each field where data is used and provide data suitable for the level of user needs. In this study, the relationship between the quality area of real-time M2M data used in the traffic information system and user satisfaction was analyzed. Research models and hypotheses were established to analyze the effects between variables related to M2M big data. In order to test the hypothesis, a causal relationship between the major factors was identified by conducting a survey and analyzing the data users.

Structural Equation Modeling Based on PRECEDE Model for the Quality of Life in the Elderly with Dementia in Rural Area (농촌지역 치매노인의 삶의 질 구조모형 - PRECEDE 모형 기반)

  • Mi-Soon, Song;Hyun-Li, Kim
    • Journal of agricultural medicine and community health
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    • v.47 no.4
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    • pp.242-254
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    • 2022
  • Purpose: This study was designed to test structural equation modeling of the quality of life of elderly diagnosed dementia living in the community in order to provide guidelines for development of intervention and strategies to improve their quality of life. Methods: The participants in the study were elderly who visited the public health center in C rural between May 30 and september 15, 2017. Data collection was carried out through one-on-one interviews. Demographic factors, knowledge, Attitude, Self-Efficacy, social support, accessibility, request for Information, health practice, depression, subjective memory complaints, dependence scale and quality of life were investigated. Results: The final analysis included 192 elderly. Fitness of the hypothesis model was appropriate(χ2=192.89, p=.000, GFI=0.90, SRMR=0.08, NNFI=0.94, CFI=0.95, PNFI=0.72, RMSEA=0.07). Depression, subjective memory complaints and dependence were found to be significant explaining varience in quality of life. Social support, dementia preventive behavior and health practice had an indirect effect on the quality of life. Conclusions: To improve the quality of life of elderly diagnosed dementia living in the community, comprehensive interventions are necessary to manage knowledge, attitude, self-efficacy, social support, health practice, depression, subjective memory complaints and dependence that can contribute to enchance the quality of life of elderly diagnosed dementia living in the community.

Familiarity and Preference on Korean Typefaces by Serif and Square-Frame (한글 글꼴의 세리프 및 네모틀 여부에 따른 친숙성과 선호도)

  • Lee, Haeun;Hyun, Joo-Seok
    • Science of Emotion and Sensibility
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    • v.24 no.4
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    • pp.29-38
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    • 2021
  • Korean typefaces are characterized on two axes: a font is either serifed or non-serifed, and it is either square-frame or non-squared. A serifed font entails small strokes that are regularly attached to the ends of larger strokes. Conversely, fonts without these marks are termed sans-serif. One of the exclusive features of Korean typeface of the square-frame type is that in such fonts, vowels and consonants often with their final vowels, are harmonically placed within the boundaries of the virtual square. We hypothesize that serifed and squared-frame typefaces are more popular and preferred owing to their widespread use throughout history. A survey incorporating Korean pangrams written with serif, sans-serif, squared, and non-squared typefaces was designed to test the present hypothesis. We found that people typically preferred and were more familiar with squared typefaces compared to non-squared typefaces. However, no difference was observed between serifed and san-serif typefaces. Furthermore, a positive correlation was found between familiarity and preference ratings only where the typefaces had squared and serifed features. The results revealed that Korean typefaces with the squared feature were more well-known and, therefore, more preferred to the typefaces without it. The results further indicated that Korean typefaces with the squared feature can be recommended for people's familiarity to it and the comfort it provides, and their emotional relevance and sensibility enhanced if serifs are added.

Factors Affecting the Viewing Intention for Untact Performance Using Value-Based Acceptance Model (가치기반수용모델을 활용한 언택트 공연 관람의도 영향요인 연구 : COVID-19 팬데믹 시기 온라인 스트리밍 공연을 중심으로)

  • Kwon, Sunjung;Son, Jaeyoung
    • 지역과문화
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    • v.8 no.2
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    • pp.49-68
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    • 2021
  • The pandemic of COVID-19 also affected performing arts business and stimulated 'Untact' performances, which means online streaming of the shows including real-time streaming. This study sought to examine factors to the consumers' acceptance. The research framework was based on the VAM, a revised model of TAM for the ICT products and services. For the research, consumer survey was conducted, where ndependent variables are perceived usefulness, pleasure, technicalty and innovation resistance, and dependent variables are percieved value and acceptance. Smart PLS was used to test the hypothesis. The result shows that the significant factors were percieved usefulness(+), pleasure(+) and innovation resistance(-). The percieved technicalty was not significant, the major reason would be that the digital devices and the internet technology are percieved a commodity these days in Korea. Percieved value was significant factor to acceptance. This study is meaningful because it is about the new phenomenon of 'untact' performance through the VAM methodology and it examined the significant factors to the attitude from the perspective of benefits and costs. There is limit that this study didn't consider old peoples' attitude. It is the reason that the continuous researches are necessary.

A Study on Factors Affecting a User's Behavioral Intention to Use Cloud Service for Each Industry (클라우드 서비스의 산업별 이용의도에 미치는 영향요인에 관한 연구)

  • Kwang-Kyu Seo
    • Journal of Service Research and Studies
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    • v.10 no.4
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    • pp.57-70
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    • 2020
  • Globally, cloud service is a core infrastructure that improves industrial productivity and accelerates innovation through convergence and integration with various industries, and it is expected to continuously expand the market size and spread to all industries. In particular, due to the global pandemic caused by COVID-19, the introduction of cloud services was an opportunity to be recognized as a core infrastructure to cope with the untact era. However, it is still at the preliminary stage for market expansion of cloud service in Korea. This paper aims to empirically analyze how cloud services can be accepted by users by each industry through extended Technology Acceptance Model(TAM), and what factors influence the acceptance and avoidance of cloud services to users. For this purpose, the impact and factors on the acceptance intention of cloud services were analyzed through the hypothesis test through the proposed extended technology acceptance model. The industrial sector selected four industrial sectors of education, finance, manufacturing and health care and derived factors by examining the parameters of TAM, key characteristics of the cloud and other factors. As a result of the empirical analysis, differences were found in the factors that influence the intention to accept cloud services for each of the four industry sectors, which means that there is a difference in perception of the introduction or use of cloud services by industry sector. Eventually it is expected that this study will not only help to understand the intention of using cloud services by industry, but also help cloud service providers expand and provide cloud services to each industry.

A Study on the Intention of Public Library Librarians to Use Artificial Intelligence-Based Technology (인공지능 기반 기술에 대한 공공도서관 사서의 사용의도 연구)

  • Gi Young Kim
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.3
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    • pp.163-190
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    • 2023
  • This study analyzed the effect of technology preparation and technology acceptance factors on the intention of public library librarians to use artificial intelligence-based technology using the technology acceptance model. To this end, a survey was conducted on public library librarians, and a total of 202 survey data were used for statistical analysis. As a result of the hypothesis test, first, optimism has a significant positive (+) effect on perceived usefulness, and discomfort has a significant negative (-) effect. Optimism and innovation on perceived ease of use were found to have a significant positive (+) effect, and discomfort was found to have a significant negative (-) effect. Second, perceived ease of use was found to have a significant positive (+) effect on perceived usefulness, and both perceived usefulness and perceived ease of use had a significant positive (+) effect on the intention to use. Third, optimism was found to have a significant positive (+) effect on the intention to use, and anxiety was found to have a significant negative (-) effect. This study is expected to provide basic data on the use of artificial intelligence technology in the future by empirically analyzing public library librarians' perceptions of artificial intelligence-based technology.

The Influence Factors of China's Cross-border E-commerce Export Trade Using Gravity Model

  • Jing Han;Taehee Lee
    • Journal of Korea Trade
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    • v.26 no.5
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    • pp.56-75
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    • 2022
  • Purpose - This study examines the influencing factors of China's cross-border e-commerce exports in the context of the current situation and trends of China's cross-border e-commerce development. Through an improved trade gravity model, it provides more in-depth research and constructive opinions on the development of cross-border e-commerce in China. In this paper, factors such as consumption gap, volume of trade frictions, number of tourists, Internet usage and trade openness are added to the formula of the traditional trade gravity model in the improved trade gravity model to examine the influencing factors on China's cross-border e-commerce exports. Design/methodology - According to the empirical analysis, China's cross-border e-commerce exports to ten countries are used as dependent variables, and consumption gap, trade friction volume, trade distance, trade openness and number of Internet users are taken as independent variables. Regression analysis is conducted through a modified gravity model to test whether the hypotheses hold. Findings - The analysis shows that the hypothesis that China's cross-border e-commerce exports are influenced by trade openness, trade distance, consumption gap between trade parties, and the number of Internet users in the importing country is supported by these four hypotheses, but not all independent variables have an impact on them. Specifically, the number of travelers, trade frictions do not have an impact on China's cross-border e-commerce. That is to say, trade friction between China and the United States and political issues such as China-India and China-Japan territorial disputes that emerged before do not affect the development of cross-border e-commerce in China. Originality/value - The analysis shows that the factors influencing China's cross-border e-commerce exports are the trade openness of the importing country, the trade distance, the number of Internet users in the importing country, and the consumption gap between the two sides of the trade. The trade openness and the number of Internet users positively contribute to China's cross-border e-commerce, while the consumption gap and trade distance are negatively related to them. And the analysis found that the Sino-US trade war and the Sino-Indian territorial disputes and other trade frictions to China's cross-border e-commerce exports did not have a substantial impact.