• Proceedings of the KAIS Fall Conference
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• 2007.11a
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• pp.406-409
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• 2007

본 연구는 교육행정의 합리화와 정보화를 위해 일선 교육현장에서 구축되어 활용하고 있는 교육행정정보시스템(National Education Information System; NEIS)에 대해 시스템의 운용실태와 문제점을 분석하고 NEIS의 효과적인 활용방안을 모색하기 위한 목적을 가지고 있다. 이러한 목적을 달성하기 위하여 본 연구에서 NEIS의 효과적인 활용에 영향을 미치는 영향을 도출하여, 이를 계층화하여 계층모델을 구성하고 구성요인의 중요도 평가를 통해 NEIS의 효과적 활용방안을 분석하고자 한다. 본 연구에서는 NEIS의 성과분석을 위하여 성과척도를 관리적 요인과 기술적 요인별로 분류하고 각 요인별 중요변수를 설정하였고, NEIS의 효과적 활용에 미치는 요인의 중요성 산출을 위하여 Fuzzy AHP 기법을 이용하여 1단계 관리적 요인 및 기술적 요인과 그 하위 요인을 구성하여 중요 요인간 분석을 실시하였다.

• Journal of Korea Technology Innovation Society
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• v.13 no.2
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• pp.231-251
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• 2010

The numbers of SCI paper or patent in science and technology are expected to be related with the number of researcher and knowledge stock (R&D stock, paper stock, patent stock). The results of the regression model showed that severe multicollinearity existed and errors were made in the estimation and testing of regression coefficients. To solve the problem of multicollinearity and estimate the effect of the independent variable properly, principal component regression model were applied for three cases with S&T knowledge production. The estimated principal component regression function was transformed into original independent variables to interpret properly its effect. The analysis indicated that the principal component regression model was useful to estimate the effect of the highly correlate production factors and showed that the number of researcher, R&D stock, paper or patent stock had all positive effect on the production of paper or patent.

• The Journal of the Korea Contents Association
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• v.6 no.7
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• pp.1-12
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• 2006

This study examined relationship of effect between the characteristics of specialized portal and two branch dimension(cognitive and emotional e-trust) of e-trust on the specialized portal web-site. The characteristics of specialized portal web-site composed the guarantee factor, the structural factor, information factor, the entertainment factor and the flow factor by prior research. The model of e-trust strategy for specialized portal web-site is tested here using data from 122 samples. Result of factor and regression analysis show that the hypothesized relationships are significant. In examining the relationships of the factors in the study, the guarantee, structural and information fact effect on building of cognitive e-Trust. Second, the entertainment and flow factor effect on emotional e- Trust. Third, the cognitive and emotional e- Trust effect on the satisfaction of e-Service users. As these results, this study found out difference paths of e-Trust which effect on the satisfaction of e-Service by cognitive and emotional e- Trust approaches to the specialized portal web - sites.

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2012.03a
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• pp.72-72
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• 2012

본 연구에서는 친환경 리싸이클 섬유산업의 활성화를 위해 대학생들의 리싸이클 폴리에스터 섬유에 대한 인식도를 분석해 보고자 하였다. 측정 문항은 섬유전문가 3인의 검토를 거쳐 타당성을 확보하였으며, 조사는 질문지법으로 2011년 9월 1일부터 9월 10일까지 대전 거주 대학생을 대상으로 진행하였으며, 회수된 설문지 196부를 자료 분석에 이용하였고, SPSS 19 통계 패키지를 이용하여 자료를 통계분석하였다. 연구 결과는 다음과 같다. 1. 친환경적 의생활 실태 조사를 실시한 결과, 리싸이클 PET섬유에 대해 들어본 적이 있는 사람은 조사대상자의 27.6%로 나타났고, 그 정보원으로는 인터넷을 가장 많이 이용하는 것으로 나타났다. 2. 섬유소재별 친환경성에 대한 인식도를 조사한 결과, 대학생들은 리싸이클 PET섬유가 천연섬유보다 덜 친환경적이나, 인조섬유보다는 더 친환경적이라고 인식하는 것으로 나타났다. 3. 리싸이클 PET섬유에 대한 인식도를 요인분석한 결과, <친환경성 요인>, <촉감 요인>, <내구성 요인>, <기능성 요인>, <공정 요인>, <글로벌 경쟁력 요인>및 <부가가치성 요인> 등 7개의 요인이 도출되었는데 이는 대학생들은 리싸이클 PET섬유에 대해 친환경성, 촉감, 내구성, 기능성, 공정, 글로벌경쟁력, 부가가치성순으로 중요하게 인식하는 것으로 해석된다.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.401-423
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• 2018

This study aims to analyze the intention of public library use of citizens by applying Ajzen's extended theory of planned behavior (ETPB). A questionnaire survey was conducted to identify the relationship between personal characteristics, factors from ETPB, such as attitude, subject norm, and perceived behavioral control, and the intention of public library use, Library knowledge was also added as an additional independent factor in this study. The results showed that attitude and library knowledge were more important factors than others. Subject norm and perceived behavioral control had also positive effects on the intention, Additionally, some personal characteristics, such as age, educational background, and household income, and public library use experience made significant differences in the intention. Based on the results, this study made some suggestions for expanding the scope of public library users.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.39-59
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• 2005

This study is aimed to evaluate the undergraduate students' information literacy, examine the current level of their capability of using information, and make a evaluation model to develop information literacy. Information literacy consists of six fields information resources, information needs, information search, information analysis, information technology and presentation, and Information ethics. Based on the result of statistic factor analysis, the integrated evaluation model of information literacy, evaluation factor, and evaluation procedure can be suggested based on the instruction guidance.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.926-930
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• 2007

본 연구는 음악콘텐츠를 생산, 유통, 판매하는 기업의 입장에서 과연 소비자들의 어떤 인지요인들이 모바일음악콘텐츠 상품의 구매의도에 영향을 미치는지에 대해 초점을 맞추었다. 연구모델로는 모바일음악콘텐츠 상품을 정보기술이라는 측면에서 접근하고, 이러한 정보기술의 수용 요인을 추출하기 위하여 기술수형모형 (TAM: Technology Acceptance Model)을 주요 이론적 토대로 하였다. 또한, 구체적인 분석을 위해 모바일음악콘텐츠를 벨소리콘텐츠, 통화연결음콘텐츠, 음악 전곡 다운로드콘텐츠로 유형화하고, 각 분류에서의 구매의도에 영향을 미치는 요인을 분석하고자 온라인과 오프라인에서의 설문을 실시한 결과, 첫째, 회귀분석을 통해 벨소리콘텐츠 구매의도와의 관계를 검증하여 최종 도출된 요인들은 이용경력, 차별성, 편재성, 신뢰성, 보안성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났다. 둘째, 통화연결음콘텐츠 구매의도와의 관계인 경우 최종 도출된 요인들은 이용경력, 차별성, 편재성, 신뢰성, 보안성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났다. 셋째, 음악 전곡 다운로드콘텐츠 구매의도와의 관계인 경우 최종 도출된 요인들은 이용경력, 복제가능성, 신뢰성, 맞춤성, 사용편의 지각, 유용성 지각으로 나타났고, 이는 모바일음악콘텐츠의 유형에 따라 소비자의 구매의도에 끼치는 요인에 차이가 있음을 보여주고 특히 이동통신기기 특유의 콘텐츠와 일반음악콘텐츠의 경우 큰 차이를 구매의도와 독립변수간의 관계에서 보여주고 있다.

• Journal of Nutrition and Health
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• v.53 no.6
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• pp.688-701
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• 2020

Purpose: This study was performed to evaluate the importance and satisfaction of the selective attributes of delivery food and to analyze the factors affecting customer satisfaction. Methods: A total of 574 responses were collected from customers who had ordered delivery food for data analysis. Statistical analyses were conducted using the SPSS program (ver. 25.0) for frequency analysis, χ2 tests, t-test, factor analysis, Pearson correlation, multiple regression analysis, and Importance-Performance Analysis (IPA). Results: The importance of delivery food selection attributes was higher in the order of 'hygiene control level (4.72)', 'taste of food (4.64)', and 'delivery accuracy (4.40)'. Satisfaction assessment was higher in the order of 'taste of food (4.32)', 'delivery accuracy (4.26)', and 'convenience of using the delivery app (4.21)'. According to the results of IPA, items that were priorities for improvement were charges for delivery, discount offers, sufficient description of the menu, and rapid handling of customer complaints. On an average, overall customer satisfaction score of delivery food was 4.01 out of 5 points. Additionally, five satisfaction factors were extracted by exploratory factor analysis. According to the results of multiple regression analysis, quality of delivery platform (p < 0.001), quality of delivery service (p < 0.001), convenience and diversity (p < 0.001), quality of delivery food (p < 0.001), and health and safety (p < 0.001) had significant positive effects on overall customer satisfaction. Conclusion: To increase customer satisfaction among delivery food customers, restaurant or delivery platform managers should consistently improve not only the quality of the delivery platform but also the quality of the delivery food and service.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.4
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• pp.139-144
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• 2011

This study proposed a classification method of LIDAR data by using simultaneously the color information (R, G, B) and reflection intensity information (I) obtained from terrestrial LIDAR and by analyzing the association between these data through the use of statistical classification methods. To this end, first, the factors that maximize variance were calculated using the variables, R, G, B, and I, whereby the factor matrix between the principal factor and each variable was calculated. However, although the factor matrix shows basic data by reducing them, it is difficult to know clearly which variables become highly associated by which factors; therefore, Varimax method from orthogonal rotation was used to obtain the factor matrix and then the factor scores were calculated. And, by using a non-hierarchical clustering method, K-mean method, a cluster analysis was performed on the factor scores obtained via K-mean method as factor analysis, and afterwards the classification accuracy of the terrestrial LiDAR data was evaluated.

• Journal of Korea Game Society
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• v.22 no.1
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• pp.99-108
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• 2022

Despite the widespread use of digital games as a means of promoting physical activity, little is known about the factors that affect active video gaming. Based on the ecological model of health behavior, this study examined how personal, environmental, and social factors would influence active video gaming and general physical activity. The results showed that while all three factors significantly influence general physical activity, social factor is the only factor that affects active video gaming. The finding highlights the importance of social factors in predicting the use of active video games.