Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews

Guangchao Charles Feng; Xianglin Su; Zhiliang Lin; Yiru He; Nan Luo; Yuting Zhang

doi:10.1177/1077699020952400

Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews

Guangchao Charles Feng^*
, Xianglin Su
, Zhiliang Lin
, Yiru He
, Nan Luo
, Yuting Zhang

^*Corresponding author for this work

Department of Interactive Media

Research output: Contribution to journal › Journal article › peer-review

60 Citations (Scopus)

Abstract

Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.

Original language	English
Pages (from-to)	83-104
Number of pages	22
Journal	Journalism and Mass Communication Quarterly
Volume	98
Issue number	1
Early online date	10 Sept 2020
DOIs	https://doi.org/10.1177/1077699020952400
Publication status	Published - Mar 2021

User-Defined Keywords

TAM
meta-analysis
meta-meta-analysis
modeling
technology acceptance

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10.1177/1077699020952400

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title = "Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews",

abstract = "Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.",

keywords = "TAM, meta-analysis, meta-meta-analysis, modeling, technology acceptance",

author = "Feng, \{Guangchao Charles\} and Xianglin Su and Zhiliang Lin and Yiru He and Nan Luo and Yuting Zhang",

note = "Funding information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported in part by the grant of the National Social Science Foundation of China (Grant No. 18BXW082). Publisher copyright: {\textcopyright} 2020 AEJMC.",

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AU - Feng, Guangchao Charles

AU - Su, Xianglin

AU - Lin, Zhiliang

AU - He, Yiru

AU - Luo, Nan

AU - Zhang, Yuting

N1 - Funding information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This research is supported in part by the grant of the National Social Science Foundation of China (Grant No. 18BXW082). Publisher copyright: © 2020 AEJMC.

PY - 2021/3

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N2 - Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.

AB - Examining the determinants of technology acceptance has been a central interest across disciplines. The technology acceptance model (TAM) and its variants and extensions are the most popular theoretical frameworks in this line of research. Two model-based meta-analytical approaches, that is, meta-meta-analysis and conventional meta-analysis, are used to pool the correlations and to test the path relationships among the variables of the TAM. We find that the extended TAM, which we term the TAM Plus, prevails in the model fit testing and that the results of the pooled correlations and path coefficients estimated using the meta-meta-analysis and meta-analysis are generally consistent.

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Determinants of Technology Acceptance: Two Model-Based Meta-Analytic Reviews

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