The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
User acceptance of media tablets: An empirical examination of perceived value
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In the citing paper
“According to Yu et al. [28], the most significant factor affecting the adoption of media tablets is perceived usefulness, particularly when moderated by perceived value.”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [28]
In the citing paper
“In the field of information system research, perceived value is commonly acknowledged as a robust predictor of technology acceptance [17,28,31,32,53,54].”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [28]
In the citing paper
“A growing body of research supports the notion that an inverse correlation exists between perceived risks and perceived value when predicting technology use intention [28,29,30,36,43]”
From ChatGPT in Learning: Assessing Students’ Use Intentions through the Lens of Perceived Value and the Influence of AI Literacy (2024) · cites this paper as [28]
Citations
Cites
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · Routledge eBooks · doi:10.4324/9780203710753-35 · Cited by 37,670
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
A conceptual model of service quality and its implications for future research
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985) · Journal of Marketing · doi:10.1177/002224298504900403 · Cited by 21,645
Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence
Zeithaml, V. A. (1988) · Journal of Marketing · doi:10.1177/002224298805200302 · Cited by 18,292
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
Consumer Perceived Value: The Development of a Multiple Item Scale
Sweeney, J. C., & Soutar, G. N. (2001) · Journal of Retailing · doi:10.1016/s0022-4359(01)00041-0 · Cited by 6,643
Research works printed but not linked: 1
- Lee, 2005, A study on the adoption patterns and usage of the mobile services: focusing on the PDA systems, Korea Bus. Res., 34, 1023
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Metadata
- Authors
- Yu, J., Lee, H., Ha, I., & Zo, H.
- Affiliations
- Electronics and Telecommunications Research Institute (KR)
- Dankook University (KR)
- Korea Electrotechnology Research Institute (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Corresponding author
- Lee, Hwansoo
- Venue
- Telematics and Informatics
- Publisher
- Elsevier BV
- Published
- 2017-07
- Volume
- 34
- Issue
- 4
- Pages
- 206-223
- ISSN
- 0736-5853 (ISSN-L)
- OpenAlex
- W2220002701
- Cited by
- 161
- References
- 83
- Citations by year
- 2026: 10 · 2025: 18 · 2024: 16 · 2023: 20 · 2022: 15 · 2021: 23 · 2020: 18 · 2019: 15 · 2018: 18 · 2017: 8
- FWCI
- 17.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Telematics and Informatics (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
- Keywords
- user acceptance, perceived value, perceived usefulness, perceived enjoyment, social image, risk perception, brand names, product design, functionality, content, price, personal innovativeness, technology adoption, moderating effect
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