A meta-analysis of the technology acceptance model

2006/08/03 by William R. King, Jun He · 3 citations
Decision Sciences · Engineering · Mathematics · Medicine · Psychology · Social Sciences · #Computer science #Data science #Digital Marketing and Social Media #Engineering #Human–computer interaction #Knowledge Management and Sharing #Knowledge management #Machine learning #Management science #Mathematics #Medicine #Meta-analysis #Moderation #Psychology #Statistical analysis #Statistics #Technology Adoption and User Behaviour #Technology acceptance model #Usability #Value (mathematics)

paper · doi:10.1016/j.im.2006.05.003

openalex publication_date 2006/08/03 · crossref created 2006/08/03 · crossref issued 2006/09/01 · crossref published 2006/09/01 · crossref published-print 2006/09/01 · crossref deposited 2025/01/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04 · crossref indexed 2026/08/04

Citations

• Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation1
• Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology
• Predicting the use of web-based information systems: self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model
• Are Individual Differences Germane to the Acceptance of New Information Technologies?
• Primary, Secondary, and Meta-Analysis of Research
• Understanding Information Technology Usage: A Test of Competing Models
• User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
• Toward an Understanding of the Behavioral Intention to Use an Information System
• A power primer.
• User Acceptance of Information Technology: Toward A Unified View1
• Statistical power analysis for the behavioral sciences
• Predicting e-services adoption: a perceived risk facets perspective
• Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
• A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
• An Empirical Study of End-User Computing Acceptance Factors in Small and Medium Enterprises in Taiwan: Analyzed by Structural Equation Modeling
• A Model of the Antecedents of Perceived Ease of Use: Development and Test

Cited by

• An adoption framework for mobile augmented reality games: The case of Pokémon Go
• Empirical Decision Rules for Improving the Uncertainty Reporting of Small Sample System Usability Scale Scores
• Technology acceptance model [wikipedia]