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Factors Affecting the Adoption of Mobile Government by Older People: Empirical Evidence From the Extended TAM Model

Factors Affecting the Adoption of Mobile Government by Older People: Empirical Evidence From the Extended TAM Model

Bo Zhang, Runhua Tan, Jie Sui, Hsiung-Cheng Lin
Copyright: © 2022 |Volume: 35 |Issue: 1 |Pages: 17
ISSN: 1040-1628|EISSN: 1533-7979|EISBN13: 9781799893349|DOI: 10.4018/IRMJ.309928
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MLA

Zhang, Bo, et al. "Factors Affecting the Adoption of Mobile Government by Older People: Empirical Evidence From the Extended TAM Model." IRMJ vol.35, no.1 2022: pp.1-17. http://doi.org/10.4018/IRMJ.309928

APA

Zhang, B., Tan, R., Sui, J., & Lin, H. (2022). Factors Affecting the Adoption of Mobile Government by Older People: Empirical Evidence From the Extended TAM Model. Information Resources Management Journal (IRMJ), 35(1), 1-17. http://doi.org/10.4018/IRMJ.309928

Chicago

Zhang, Bo, et al. "Factors Affecting the Adoption of Mobile Government by Older People: Empirical Evidence From the Extended TAM Model," Information Resources Management Journal (IRMJ) 35, no.1: 1-17. http://doi.org/10.4018/IRMJ.309928

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Abstract

Increases in the population's average age require government services to offer high-efficiency, low-cost services aimed at the elderly. An extended technology acceptance model (ETAM) embedded in a contextualized perspective is proposed to analyze elderly users' mobile government behavioral intentions. In this study, a questionnaire survey was conducted on 800 participants aged 60 and over to identify crucial influencing factors. One dependent variable, three independent variables, four intervening variables, and four control variables were used for the questionnaire design. The proposed model was tested based on structural equation modeling (SEM) under eight constructs. The empirical results showed that elderly users' attitudes, perceived external support, orientation level, and perceived ease-of-use have a significant positive impact on elderly users' acceptance of mobile government, while perceived risk has a relatively negative impact. Among these factors, both users' attitudes and perceived external support exhibit the strongest effect on behavioral intention.

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