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Your search keyword '"Hsu, Chi-Yueh"' showing total 21 results
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21 results on '"Hsu, Chi-Yueh"'

1. Research on KNN-Based GNSS Coordinate Classification for Epidemic Management

Author

Hsu, Chi-Yueh, Kuo, Chun-Ming, Hung, Ruo-Wei, Chen, Jong-Shin, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Hsieh, Sun-Yuan, editor, Hung, Ling-Ju, editor, Klasing, Ralf, editor, Lee, Chia-Wei, editor, and Peng, Sheng-Lung, editor

Published
2022
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2. The Application of Traveling Gravity Model on International Tourism

Author

Hsu, Chi-Yueh, He, Bo-Jun, Li, Jian-Fa, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jain, Lakhmi C., editor, Peng, Sheng-Lung, editor, and Wang, Shiuh-Jeng, editor

Published
2020
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3. Study on the Factors Affecting Sharing Behavior of Social Media Platform Users

Author

Chang, Hsiu-Ching, Wang, Ming-Yueh, He, Ci-Jhan, Lin, Jia-Pei, Hsu, Chi-Yueh, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Jain, Lakhmi C., editor, Peng, Sheng-Lung, editor, and Wang, Shiuh-Jeng, editor

Published
2020
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4. A kNN Based Position Prediction Method for SNS Places

Author

Chen, Jong-Shin, Huang, Huai-Yi, Hsu, Chi-Yueh, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Jearanaitanakij, Kietikul, editor, Selamat, Ali, editor, Trawiński, Bogdan, editor, and Chittayasothorn, Suphamit, editor

Published
2020
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9. Applying the Unified Theory of Acceptance and Use of Technology Model on the Behavior of Home Buyers Using Housing Apps †.

Author

Chiu, Jui-Chang, Hsu, Chi-Yueh, Chien, Chun-Yu, Fan, Yu-Qui, and Cheng, Yu-Wen

Subjects
HOUSE buying, CONFIRMATORY factor analysis, ARTIFICIAL intelligence, DIGITAL technology, DEEP learning
Abstract

It is convenient to have advances in science and technology so that people obtain information without going out. We explore the intention of the use of housing apps based on the unified theory of acceptance and the use of technology. A total of 365 questionnaires were collected with 8 incomplete answers discarded. The snowball sampling method was used for confirmatory factor analysis and SEM structural equation model analysis. The research results show the following. (1) Housing app users can quickly obtain knowledge and information about houses, and it is more convenient. (2) Both effort expectancy and social influence have a direct and positive effect on behavior intention when using the housing app. (3) There is no significant impact after adding moderator variables of gender, age, and income in Unified Theory of Acceptance and Use of Technology, (UTAUT). It is convenient and helpful to use the housing app. Therefore, the use of the housing app will be an indispensable trend. [ABSTRACT FROM AUTHOR]

Published
2023
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10. Exploring Use Behavior of Self-Service Ordering at Restaurants with Application Unified Theory of Acceptance and Use of Technology Model †.

Author

Tao, Kuan-Chuan, Hsu, Chi-Yueh, Yang, Jen-Jen, Ke, Ming-Fu, and Chiang, Chia-Hsuan

Subjects
SELF-service (Economics), RESTAURANTS, MACHINE learning, DIGITAL technology, DEEP learning, INFORMATION & communication technologies
Abstract

In this study, UTAUT2 is used to explore the use behavior by consumers regarding a self-ordering system. A total of 227 valid questionnaires were collected after being distributed with an effective recovery rate of 90.8%. Confirmatory factor analysis and a structural equation model were utilized via Smart PLS 2.0. The result shows that only several research hypotheses have significant effects. Among the adjustment variables, age and habits have a significant impact on user behavior. Experience and convenience conditions have a significant impact on use intention. Experience and habit have a significant impact on use intention. The overall model fit is excellent with high explanatory power. According to the research results, the public accepts self-service ordering technology systems in restaurants. The higher the level of pleasure after use, the higher the willingness to use the system in the future. [ABSTRACT FROM AUTHOR]

Published
2023
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12. Exploring the behavior of online fitness users by using the Unified Theory of Acceptance and Use of Technology

Author

Hsu, Chi-Yueh, Wang, Ming-Yueh, Lee, Ting-I, Chiang, Hsiu-Hui, and Chien, Chun-Yu

Subjects
Condición física, Complementary and Manual Therapy, Facebook, Transmisión en vivo, Physical Therapy, Sports Therapy and Rehabilitation, Education, Occupational Therapy, Live streaming, Fitness, GV557-1198.995, 7 Bellas artes::79 - Diversiones. Espectáculos. Cine. Teatro. Danza. Juegos.Deportes [CDU], Orthopedics and Sports Medicine, UTAUT, Sports
Abstract

The aim of this study was to explore the behavior of online fitness users by using an integrated technology acceptance model. We also discussed the significant impact of fitness live streaming users on the integrated technology acceptance model. A cross-sectional study was carried out on a sample of 150 users who used Facebook fitness live streaming platform to watch fitness live streaming videos and usedthe live message reply, like and tracking functions. TheUnified Theory of Acceptance and Use of Technology (UTAUT) model was utilized to examine the behavior of users of Facebook fitness live streaming platform. The results showedthat there are statistically significant impacts in each structure of UTAUT,and the users of fitness live streaming have positive effects in UTAUT. In addition, the convenience and the infinityofInternet allows the social media users to obtain effective information through fast and real-time communication media and most users have the resources and knowledge required for live streaming. El objetivo de este estudio fue explorar el comportamiento de los usuarios de fitness en línea mediante el uso de un modelo integrado de aceptación de tecnología. También discutimos el impacto significativo de los usuarios de transmisión en vivo de fitnessen el modelo integrado de aceptación de tecnología. Se llevó a cabo un estudio transversal en una muestra de 150 usuarios que usaron la plataforma de transmisión en vivo de fitness de Facebook para ver videos de transmisión en vivo de fitness y usaron lasfunciones de respuesta de mensajes en vivo, me gusta y seguimiento. El modelo de Teoría Unificada de Aceptación y Uso de Tecnología (UTAUT) se utilizó para examinar el comportamiento de los usuarios de la plataforma de transmisión en vivo de fitness de Facebook. Los resultados mostraron que hay impactos estadísticamente significativos en cada estructura de UTAUT, y los usuarios de transmisión en vivo de fitness tienen efectos positivos en UTAUT. Además, la conveniencia y la infinidad de Internet permite a los usuarios de las redes sociales obtener información efectiva a través de medios de comunicación rápidos y en tiempo real y la mayoría de los usuarios tienen los recursos y conocimientos necesarios para la transmisión en vivo.

Published
2022

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