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Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model

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  • Chen-Wei Yu
  • Cheng-Min Chao
  • Che-Fu Chang
  • Rueg-Juen Chen
  • Po-Chung Chen
  • Yi-Xuan Liu

Abstract

This study developed and empirically tested a model to predict the factors affecting patients’ behavioral intentions to use a mobile health education website. It explored the behavioral intention to use a mobile health education website from the perspective of consumers by extending the Unified Theory of Acceptance and Use of Technology 2 model with the addition of mobile self-efficacy (M-SE), use motivation, and mobile literacy as moderators. For this purpose, variance-based structural equation modeling was used to analyze data collected from a sample of 1,649 patients at a hospital in Taoyuan, Taiwan. Partial least squares regression was used for model and hypothesis testing. The results revealed that (1) performance expectancy, effort expectancy, social influence, facilitating conditions, and habit were key predictors of the behavioral intentions of patients to use a mobile health education website; (2) M-SE had positive associations with effort expectancy; (3) use motivation was a significant determinant of both performance expectancy and effort expectancy; and (4) mobile literacy had a significantly negative moderating effect on the relationship between performance expectancy and behavioral intention. Our findings serve as a reference for the promotion of mobile health education in hospitals.

Suggested Citation

  • Chen-Wei Yu & Cheng-Min Chao & Che-Fu Chang & Rueg-Juen Chen & Po-Chung Chen & Yi-Xuan Liu, 2021. "Exploring Behavioral Intention to Use a Mobile Health Education Website: An Extension of the UTAUT 2 Model," SAGE Open, , vol. 11(4), pages 21582440211, October.
    • Handle: RePEc:sae:sagope:v:11:y:2021:i:4:p:21582440211055721
    DOI: 10.1177/21582440211055721
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    2. Chih-Chun Kung & Binbo Zheng & Tsung-Ju Lee & Nanping Wu, 2022. "Collections for Economic Growth, Social Development, and Technological Innovation Under Climate Change," SAGE Open, , vol. 12(2), pages 21582440221, June.
    3. Eloy Gil-Cordero & Pablo Ledesma-Chaves & Sunghoon Yoo & Heesup Han, 2023. "Luxury tourism and purchase intention factors: a mixed approach applied to luxury goods," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-20, December.
    4. Su-Chen(Cecilia) Lin & Mei-Chen Chuang & Chen-Yuan Huang & Chia-En Liu, 2023. "Nursing Staff’s Behavior Intention to Use Mobile Technology: An Exploratory Study Employing the UTAUT 2 Model," SAGE Open, , vol. 13(4), pages 21582440231, November.
    5. Thanatorn Chuenyindee & Ardvin Kester S. Ong & Yogi Tri Prasetyo & Satria Fadil Persada & Reny Nadlifatin & Thaninrat Sittiwatethanasiri, 2022. "Factors Affecting the Perceived Usability of the COVID-19 Contact-Tracing Application “Thai Chana” during the Early COVID-19 Omicron Period," IJERPH, MDPI, vol. 19(7), pages 1-16, April.
    6. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Nattakit Yuduang & Reny Nadlifatin & Satria Fadil Persada & Kirstien Paola E. Robas & Thanatorn Chuenyindee & Thapanat Buaphiban, 2022. "Utilization of Random Forest Classifier and Artificial Neural Network for Predicting Factors Influencing the Perceived Usability of COVID-19 Contact Tracing “MorChana” in Thailand," IJERPH, MDPI, vol. 19(13), pages 1-28, June.
    7. Ji-Hye Kim & Eungoo Kang, 2023. "An Empirical Research: Incorporation of User Innovativeness into TAM and UTAUT in Adopting a Golf App," Sustainability, MDPI, vol. 15(10), pages 1-22, May.

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