Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Κλίμακα Άγχους για Υπολογιστές× | Δείκτης Ετοιμότητας Τεχνολογίας× | |
|---|---|---|
| Πεδίο | Πληροφοριακά Συστήματα | Πληροφοριακά Συστήματα |
| Οικογένεια | Process / pipeline | Process / pipeline |
| Έτος προέλευσης≠ | 1987 | 2000 |
| Δημιουργός≠ | Rosen, Sears & Weil | Ajay Parasuraman |
| Τύπος≠ | Likert-scale anxiety measure | Likert-scale questionnaire |
| Θεμελιώδης πηγή≠ | Rosen, L. D., Sears, D. C., & Weil, M. M. (1987). Computerphobia. Journal of School Psychology, 25(3), 221-232. DOI ↗ | Parasuraman, A., & Colby, C. L. (2015). An updated and streamlined Technology Readiness Index. Journal of Service Research, 18(1), 59-74. DOI ↗ |
| Εναλλακτικές ονομασίες | CARS, Computer Anxiety Rating Scale | TRI, Parasuraman Technology Readiness |
| Συναφείς | 4 | 4 |
| Σύνοψη≠ | The Computer Anxiety Rating Scale (CARS) was developed by Rosen, Sears, and Weil in 1987 to measure the emotional distress and fear individuals experience when thinking about using computers or engaging with computer technology. CARS is a foundational instrument in understanding psychological barriers to technology adoption and has been widely applied across education, workplace training, and organizational digital transformation contexts. | The Technology Readiness Index (TRI) was developed by Ajay Parasuraman in 2000 to measure individual propensity to adopt and use new technologies. The TRI assesses a person's personal attitudes toward technology across four dimensions: optimism, innovativeness, discomfort, and insecurity. Updated in 2015 with a streamlined 16-item version, the TRI helps identify technology adopter segments and predict behavior across diverse technology contexts. |
| ScholarGateΣύνολο δεδομένων ↗ |
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