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

Research output: Contribution to journalJournal articlepeer-review

32 Citations (Scopus)


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 languageEnglish
Pages (from-to)83-104
Number of pages22
JournalJournalism and Mass Communication Quarterly
Issue number1
Early online date10 Sept 2020
Publication statusPublished - Mar 2021
Externally publishedYes

User-Defined Keywords

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


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