• The Journal of Korean Institute for Practical Engineering Education
• /
• v.5 no.1
• /
• pp.45-51
• /
• 2013

To improve the e-learning education quality in VietHanIT College (Vietnam-Korea Friendship Information Technology College), e-learning acceptance was evaluated based on the well-known Technology Acceptance Model (TAM). Quantitative data of the questionnaire survey were gathered from 158 lecturers and staffs of VietHanIT College and analyzed by using Statistical Package for the Social Sciences (SPSS). While designing the questionnaire various previous studies were considered and hypotheses and models of the study were set up accordingly. As the results, success model of e-learning system was built up and important factors were identified. And most of lectures and staffs in VietHanIT College were aware of the benefits of e-learning system and they were ready to apply e-learning method for their training and teaching.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.2
• /
• pp.7-14
• /
• 2024

This study intendss to prepare specific support measures for cultural industry practioners and artists to respond to the development of artificial intelligence (AI) based on how they understand and accept AI. To this end, the acceptance attitude of practioners in the arts and cultural sectors toward AI technology was investigated based on the technology acceptance models and theories. The results show that, firstly, personal characteristics and service characteristics, which are influencing factors, have an effect on perceived usefulness, perceived ease of use, and intention to use AI services. Secondly, when there are perceived ease of use and perceived usefulness in AI services, innovative and effective personal characteristics reinforce the intention to use artificial intelligence services. It is expected that this study can be used as a reference for establishing policy measures to support cultural artists related to AI technology.

• MALSORI
• /
• no.49
• /
• pp.145-158
• /
• 2004

This paper is aiming at implementation of real-time speaker verification system using DSP board. Dialog/4, which is based on microprocessor and DSP processor, is selected to easily control telephone signals and to process audio/voice signals. Speaker verification system performs signal processing and feature extraction after receiving voice and its ID. Then through computing the likelihood ratio of claimed speaker model to the background model, it makes real-time decision on acceptance or rejection. For the verification experiments, total 15 speaker models and 6 background models are adopted. The experimental results show that verification accuracy rates are 99.5% for using telephone speech-based speaker models.

• Journal of Information Technology Services
• /
• v.12 no.4
• /
• pp.399-422
• /
• 2013

The aim of this study is to find the model that best explains members' continued use intention in virtual communities by comparing technical and social perspectives applied in IS context. With the eight major variables identified from prior studies, four alternative models were formulated:1) A base model from Information Systems (IS) continuance perspective, 2) IS continuance model with technology-acceptance perspective, 3) IS continuance model with social-capital perspective, and 4) IS continuance model with socio-technical combined perspective. The adequacies of these four models with different perspective highlighted were tested using survey data collected from virtual community users in Korea. The findings indicated that the IS continuance model and social-capital perspective is the most efficient model that best explains the members' continued use intention in virtual communities.

• The Journal of Asian Finance, Economics and Business
• /
• v.7 no.10
• /
• pp.295-302
• /
• 2020

The study examines an empirical case that explores the key constructs of the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh, Morris, Davis & Davis, 2003) and the relationship between security and privacy of the Theory of Perceived Risk (TPR) (Bauer, 1960). This study employs survey data of 200 young Internet users aged 18 to 25. The study was conducted through two steps: preliminary research by qualitative research method to form the official research scale then formal research by quantitative research method using CFA and SEM to test the research model. The research results show that performance expectancy and social influence significantly predict behavioral intention to use e-wallets in payment. In contrast, the factors, namely, security and privacy, and effort expectancy, are statistically insignificant on behavioral intention. Nevertheless, the facilitating conditions factor still affects the behavior of using e-wallets. The study proposes a model to generalize the online payment environment through the integration of UTAUT and TPR models that are important for online payment management and researchers in the technology environment. The findings of this study suggest that social influence significantly affects the intention of young people to use e-wallets instead of security and privacy.

• Asian-Australasian Journal of Animal Sciences
• /
• v.32 no.7
• /
• pp.1015-1026
• /
• 2019

Objective: The objective of this study was to evaluate three different degrees of white striping (WS) addressing their automatic assessment and customer acceptance. The WS classification was performed based on a computer vision system (CVS), exploring different machine learning (ML) algorithms and the most important image features. Moreover, it was verified by consumer acceptance and purchase intent. Methods: The samples for image analysis were classified by trained specialists, according to severity degrees regarding visual and firmness aspects. Samples were obtained with a digital camera, and 25 features were extracted from these images. ML algorithms were applied aiming to induce a model capable of classifying the samples into three severity degrees. In addition, two sensory analyses were performed: 75 samples properly grilled were used for the first sensory test, and 9 photos for the second. All tests were performed using a 10-cm hybrid hedonic scale (acceptance test) and a 5-point scale (purchase intention). Results: The information gain metric ranked 13 attributes. However, just one type of image feature was not enough to describe the phenomenon. The classification models support vector machine, fuzzy-W, and random forest showed the best results with similar general accuracy (86.4%). The worst performance was obtained by multilayer perceptron (70.9%) with the high error rate in normal (NORM) sample predictions. The sensory analysis of acceptance verified that WS myopathy negatively affects the texture of the broiler breast fillets when grilled and the appearance attribute of the raw samples, which influenced the purchase intention scores of raw samples. Conclusion: The proposed system has proved to be adequate (fast and accurate) for the classification of WS samples. The sensory analysis of acceptance showed that WS myopathy negatively affects the tenderness of the broiler breast fillets when grilled, while the appearance attribute of the raw samples eventually influenced purchase intentions.

• Journal of the Korean Data and Information Science Society
• /
• v.5 no.2
• /
• pp.11-18
• /
• 1994

Sample sizes for experiments concerned with inference on R=Pr(X

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.2
• /
• pp.35-52
• /
• 2023

Recently, as the non-face-to-face environment has developed due to COVID-19 and environmental pollution, the importance of online digital healthcare is increasing, and venture start-ups and activities such as health care, telemedicine, and digital treatments are also actively underway. This study conducted the impact on the acceptability of digital healthcare smartwatches with an integrated approach of the expanded integrated technology acceptance model (UTAUT2) and the behavioral inference model (BRT). The most advanced integrated technology acceptance model for innovative technology acceptance research was used to identify major factors such as utility expectations, social effects, convenience, price barriers, lack of alternatives, and behavioral intentions. For the study, about 410 responses from ordinary people in their teens to 60s across the country were collected, and based on this, the hypothesis was verified using structural equations after testing reliability and validity of the data. SPSS 23 and AMOS 23 were used for research analysis. Studies have shown that personal innovation has a significant impact on the reasons for acceptance (use value, social impact, convenience of use), attitude, and non-use (price barriers, lack of alternatives, and barriers to use). These results are the same as the results of previous studies that confirmed the influence of the main value of innovative ICT on user acceptance intention. In addition, the reason for acceptance had a significant effect on attitude, but the effect of the reason for non-acceptance was not significant. It can be analyzed that consumers are interested in new ICT products and new services, but purchase them more carefully and selectively. This study has evolved from the acceptance analysis of general-purpose consumer innovation technology to the acceptance analysis of consumer value in smartwatch digital healthcare, which is a new and important area in the future. Industrially, it can contribute to the product's purchase and marketing. It is hoped that this study will contribute to increasing research in the digital healthcare sector, which will play an important role in our lives in the future, and that it will develop into in-depth factors that are more suitable for consumer value through integrated approach models and integrated analysis of consumer acceptance and non-acceptance.

• Journal of Korean Society of Archives and Records Management
• /
• v.11 no.1
• /
• pp.231-252
• /
• 2011

User needs and their usage motivations are critical components of web portal success, yet limited studies have been conducted with the constituents of good cultural heritage archive portals from the user perspective. This study proposes a quality assessment model from the user perspective. To overcome the intrinsic biases, the triangulation approach was chosen for building a research model. The proposed research model adapts three existing web portal quality models: service quality model, data quality model, and technology acceptance model. A 99-item instrument is suggested to investigate the proposed model. In the next phase of research, the instrument will be tested for its construct validity, and the research model will be empirically tested.

• Journal of Korean Library and Information Science Society
• /
• v.39 no.4
• /
• pp.237-260
• /
• 2008

This study is designed to find out what kinds of factors influence the application of RFID system to the library. This study is followed by theoretically reviewing the RFID and the application RFID system to the library. Theoretical study models are developed by expanding the social influence, perceived risk, job relevance, support, and self-efficacy after Based on Technology Acceptance Model that provides useful theoretical foundations for setting the perceived usefulness, perceived ease of use, and intention of application to the library of RFID system as the core of a study model. The affecting factors of application of the RFID system to the library are presented by empirically studying this study model.