| Category | Details |
|---|---|
| Description | The Antecedents of Consumer Acceptance Technology Agency Model (Morosan & Dursun-Cengizci, 2024) was designed to examine the role of perceived ethics in influencing consumer acceptance of technology agency. The study specifically investigated hotel guests’ willingness to allow artificial intelligence (AI)-based systems to make decisions on their behalf during hotel stays. Survey items were adapted from previous research (e.g., Xu et al., 2011; Roman, 2007; Bertrandias et al., 2021) and newly developed by the researchers to capture key constructs such as perceived ethics, benefits, risks, loss of competence, unpredictability, and convenience orientation. To reduce common method bias, the survey informed respondents that there were no right or wrong answers, allowed them to leave at any time, and varied scale placement within the instrument (Podsakoff et al., 2003). The final 22-item measure was administered to a sample of U.S. hotel guests, with results confirming its factor structure, reliability, and validity. |
| Author | Cristian Morosan; Aslıhan Dursun-Cengizci |
| Purpose | To assess the role of perceived ethics in influencing consumer acceptance of technology agency. |
| Construct | Consumer Technology Acceptance |
| Instrument Type | Inventory/Questionnaire |
| Test Year | 2024 |
| Format | Items rated using a five-point Likert scale. |
| Administration Method | Electronic |
| Number of Items | 22-item measure. |
| Factors and Subscales | Perceived ethics; Perceived benefits; Perceived risks; Perceived loss of competence; Perceived unpredictability; Convenience orientation; Acceptance of technology agency. |
| Reliability | Internal consistency: All composite construct reliability (CCR) values exceeded 0.8, indicating strong reliability (Hair et al., 2009). |
| Validity | – Convergent Validity: Confirmatory factor analysis (CFA) factor loadings exceeded 0.7 except for one (0.674), which was retained due to its proximity to the threshold (Chen & Tsai, 2007). All average variance extracted (AVE) values exceeded 0.5, confirming convergent validity. – Discriminant Validity: The AVE values were examined to ensure distinctiveness among constructs. |
| Factor Analysis | – Confirmatory Factor Analysis (CFA): A respecified model demonstrated a strong fit (χ² = 370.279, df = 188, χ²/df = 1.97). Fit indices indicated appropriate model fit (CFI = 0.960, TLI = 0.951, RMSEA = 0.050) (Toh et al., 2006). |
| Test Methodology | Test Validity; Convergent Validity; Discriminant Validity; Test Reliability; Internal Consistency; Factor Analysis; Confirmatory Factor Analysis; Measurement Model. |
| Age Group | Adulthood (18+); Young Adulthood (18–29); Thirties (30–39); Middle Age (40–64). |
| Population Group | Human; Male; Female. |
| Population Details | Location: United States Respondents: Hotel Guests. |
| Keywords | Acceptance of Technology Agency; Artificial Intelligence; Convenience Orientation; Hospitality Industry; Measurement Model; Perceived Benefits; Perceived Ethics; Perceived Loss of Competence; Perceived Risks; Perceived Unpredictability. |
| Files | No file available for download. |
| Reference | Morosan, C., & Dursun-Cengizci, A. (2024). Letting AI make decisions for me: An empirical examination of hotel guests’ acceptance of technology agency. International Journal of Contemporary Hospitality Management, 36(3), 946–974. https://doi.org/10.1108/IJCHM-08-2022-1041 |
| ORCID | Cristian Morosan: 0000-0001-6751-1348 Aslıhan Dursun-Cengizci: N/A |
Cite this article
Mohammed looti (2026). Antecedents of Consumer Acceptance Technology Agency–Model. PSYCHOLOGICAL SCALES. Retrieved from https://scales.arabpsychology.com/s/antecedents-of-consumer-acceptance-technology-agency-model/
Mohammed looti. "Antecedents of Consumer Acceptance Technology Agency–Model." PSYCHOLOGICAL SCALES, 4 Apr. 2026, https://scales.arabpsychology.com/s/antecedents-of-consumer-acceptance-technology-agency-model/.
Mohammed looti. "Antecedents of Consumer Acceptance Technology Agency–Model." PSYCHOLOGICAL SCALES, 2026. https://scales.arabpsychology.com/s/antecedents-of-consumer-acceptance-technology-agency-model/.
Mohammed looti (2026) 'Antecedents of Consumer Acceptance Technology Agency–Model', PSYCHOLOGICAL SCALES. Available at: https://scales.arabpsychology.com/s/antecedents-of-consumer-acceptance-technology-agency-model/.
[1] Mohammed looti, "Antecedents of Consumer Acceptance Technology Agency–Model," PSYCHOLOGICAL SCALES, vol. X, no. Y, ص Z-Z, April, 2026.
Mohammed looti. Antecedents of Consumer Acceptance Technology Agency–Model. PSYCHOLOGICAL SCALES. 2026;vol(issue):pages.