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An Integrated Structural Equation Model of eHealth Behavioral Intention

An Integrated Structural Equation Model of eHealth Behavioral Intention

Gayle Prybutok, Anh Viet Ta, Xiaotong Liu, Victor Prybutok
Copyright: © 2020 |Volume: 15 |Issue: 1 |Pages: 20
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781522597957|DOI: 10.4018/IJHISI.2020010102
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MLA

Prybutok, Gayle, et al. "An Integrated Structural Equation Model of eHealth Behavioral Intention." IJHISI vol.15, no.1 2020: pp.20-39. http://doi.org/10.4018/IJHISI.2020010102

APA

Prybutok, G., Ta, A. V., Liu, X., & Prybutok, V. (2020). An Integrated Structural Equation Model of eHealth Behavioral Intention. International Journal of Healthcare Information Systems and Informatics (IJHISI), 15(1), 20-39. http://doi.org/10.4018/IJHISI.2020010102

Chicago

Prybutok, Gayle, et al. "An Integrated Structural Equation Model of eHealth Behavioral Intention," International Journal of Healthcare Information Systems and Informatics (IJHISI) 15, no.1: 20-39. http://doi.org/10.4018/IJHISI.2020010102

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Abstract

eHealth offers promising tools and services to manage and improve the quality of health as well as the potential to provide accessible health information all over the world. The relatively low adoption rates among eHealth users motivates us to develop an integrated model to explain the learning process and provide essential antecedents of eHealth behavioral intention. The integrated model is empirically tested by using different structural equation modeling (SEM) methods, including partial least squares SEM (PLS-SEM), PLSc, and covariance-based SEM (CB-SEM). The model successfully explains the learning process and provides essential antecedents of eHealth behavioral intention. The findings support the interplay of social, cognitive, and personal factors that impact 18-30-year-old users' learning process related to eHealth behavioral intention. The results empirically show that these three types of SEM techniques provide consistent results with respect to path coefficients and coefficients of determination. The findings indicate that CB-SEM and PLS-SEM provide adverse consequences of interaction-term path coefficients.