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

被引：40
作者：
Feng, Guangchao Charles [1 ]
Su, Xianglin [1 ]
Lin, Zhiliang [1 ]
He, Yiru [1 ]
Luo, Nan [1 ]
Zhang, Yuting [2 ]
机构：
[1] Shenzhen Univ, Coll Commun, Shenzhen 518060, Peoples R China
[2] Southern Metropolis Daily, Guangzhou, Peoples R China
来源：
JOURNALISM & MASS COMMUNICATION QUARTERLY | 2021年 / 98卷 / 01期
关键词：
TAM; meta-analysis; meta-meta-analysis; modeling; technology acceptance; STRUCTURAL EQUATION MODELS; META-META-ANALYSIS; INFORMATION-TECHNOLOGY; USER ACCEPTANCE; UNIFIED THEORY; PERCEIVED USEFULNESS; MISSING DATA; ADOPTION; DECISION; EASE;
D O I：
10.1177/1077699020952400
中图分类号：
G2 [信息与知识传播];
学科分类号：
05 ; 0503 ;
摘要：
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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页码：83 / 104
页数：22
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