The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
Predicting the use of online information services based on a modified UTAUT model
Abstract
There is a growing consensus that the conventional technology acceptance model should be modified and expanded to provide a better understanding of the behaviour related to Internet services. Recognising this need, this study re-evaluates the utility of Venkatesh et al.’s [2003. User acceptance of information technology: toward a unified view. MIS Quarterly, 27 (3), 425–478] Unified Theory of Acceptance and Use of Technology (UTAUT) model. First, this study proposes a new modified model of technology acceptance by adding the concepts of trust and flow experience to the original UTAUT model. Second, the study investigates how the model's explanatory power changes for different types of Internet services. For this, this study considers two services – ‘e-learning’ and ‘online gaming’ – for their utilitarian and hedonic characteristics, respectively. The results of this study suggest that the proposed model can better explain behavioural intentions towards Internet services than the original model. The two variables – flow experience and trust – contributed to the overall significance of the model. Furthermore, the type of Internet service moderated the effects of the independent variables on behavioural intentions and use behaviour.
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“The literature has found heterogeneous results for SI.”
From Understanding the determinants of novel technology adoption among teachers: the case of 3D printing (2020) · cites this paper as Oh and Yoon (2014)
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“While, for instance, Oh and Yoon (2014) found a strong path between SI and BI, the study of Magsamen-Conrad etal. (2015) could not report significant evidence of SI affecting BI.”
From Understanding the determinants of novel technology adoption among teachers: the case of 3D printing (2020) · cites this paper as Oh and Yoon (2014)
Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
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
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
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
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 20,559
Not So Different After All: A Cross-Discipline View Of Trust
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998) · Academy of Management Review · doi:10.5465/amr.1998.926617 · Cited by 10,274
Research works printed but not linked: 4
- Chang J., 2004, Korean Journal of MIS, 14, 94
- Park S., 2005, Korean Journal of Marketing, 20, 21
- Pavlou P.A., 2003, International Journal of Electronic Commerce, 7, 69
- Zhou T., 2011, Behavior & Information Technology, 32, 163
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Metadata
- Authors
- Oh, J.-C., & Yoon, S.-J.
- Affiliations
- Shin Ansan University (KR)
- Kyonggi University (KR)
- Corresponding author
- Yoon, Sung-Joon
- ORCID
- Yoon, Sung-Joon
- Venue
- Behaviour & Information Technology
- Publisher
- Informa UK Limited
- Published
- 2014-04-07
- Volume
- 33
- Issue
- 7
- Pages
- 716-729
- ISSN
- 0144-929X (ISSN-L)
- 1362-3001
- OpenAlex
- W1990390924
- Cited by
- 157
- References
- 51
- Citations by year
- 2026: 7 · 2025: 11 · 2024: 15 · 2023: 16 · 2022: 22 · 2021: 21 · 2020: 15 · 2019: 14 · 2018: 15 · 2017: 7 · 2016: 8 · 2015: 5 · 2014: 1
- FWCI
- 10.22
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Behaviour and Information Technology (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- 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 › Gender Studies › Gender and Technology in Education
- Keywords
- UTAUT, technology acceptance, online information services, trust, flow experience, online learning, online games, behavioral intention
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