Predicting User Intentions
Comparing the Technology Acceptance Model with the Theory of Planned Behavior
Datos Bibliográficos
| ID | 23316623 |
|---|---|
| Autores | Kieran Mathieson (Oakland University, autor de correspondencia) |
| Año | 1991 |
| Volumen | 2 |
| Número | 3 |
| Páginas | 173-191 |
| Fecha de publicación | 1991-09-01 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Information Systems Research (JOURNAL) |
| Identificadores de la revista | ISSN: 1047-7047 • E-ISSN: 1526-5536 |
| Editorial | Institute for Operations Research and the Management Sciences (INFORMS) (PUBLISHER) |
| DOI | 10.1287/isre.2.3.173 |
| OpenAlex | W2008441192 |
| Idioma | EN |
| Citas recibidas | 274 |
| Referencias citadas | 5 |
Information systems (IS) cannot be effective unless they are used. However, people sometimes do not use systems that could potentially increase their performance. This study compares two models that predict an individual's intention to use an IS: the technology acceptance model (TAM) and the theory of planned behavior (TPB). The comparison was designed to be as fair as possible, not favoring one model over the other. Both TAM and TPB predicted intention to use an IS quite well, with TAM having a slight empirical advantage. TAM is easier to apply, but only supplies very general information on users' opinions about a system. TPB provides more specific information that can better guide development.
Control (management) · Empirical research · Human–computer interaction · Information system · Knowledge management · Statistics · Technology Acceptance Model · Theory of planned behavior · Usability · Artificial Intelligence · Computer Science · Customer Service Quality and Loyalty · Digital Marketing and Social Media · Mathematics · Technology Adoption and User Behaviour
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| Obras citantes distintas | 274 |
|---|---|
| Citas por año | 8,84 |
| Intervalo de citas | 1995 - 2026 (32) |
| Velocidad de citación | current |
| Altamente citado | Sí |
| Tipos de cita | Neutras: 257 |