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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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)
In the citing paper
“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
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Understanding information technology usage: a test of competing models
Taylor, S., & Todd, P. A. (1995) · Information Systems Research · doi:10.1287/isre.6.2.144 · Cited by 8,815
Trust and TAM in Online Shopping: An Integrated Model1
Gefen, D., Karahanna, E., & Straub, D. W. (2003) · MIS Quarterly · doi:10.2307/30036519 · Cited by 8,635
Computer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553
Extrinsic and Intrinsic Motivation to Use Computers in the Workplace 1
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992) · Journal of Applied Social Psychology · doi:10.1111/j.1559-1816.1992.tb00945.x · Cited by 6,231 · cited 3×
“…theoretical underpinning is based on the theory of reasoned action (TRA) (Fishbein and Ajzen 1975), the TAM (Davis 1989), the motivational model (Davis et al. 1992), the theory of planned behaviour (TPB) (Ajzen 1991), a combination of the TAM and the TPB (Taylor and Todd 1995b), the model of…”
BackgroundMarketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations
Hoffman, D. L., & Novak, T. P. (1996) · Journal of Marketing · doi:10.2307/1251841 · Cited by 5,740
(2003) · International Journal of Electronic Commerce · doi:10.1080/10864415.2003.11044275 · Cited by 5,715
Csíkszentmihályi, M. (1975) · Cited by 5,690
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.1177/002224298204600314 · Cited by 5,616
Multivariate Data Analysis with Readings.
Jolliffe, I. T., Hair, J. F., Anderson, R. E., & Tatham, R. L. (1988) · Journal of the Royal Statistical Society Series A (Statistics in Society) · doi:10.2307/2983017 · Cited by 5,106
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb00860.x · Cited by 4,068
Personal Computing: Toward a Conceptual Model of Utilization1
Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991) · MIS Quarterly · doi:10.2307/249443 · Cited by 3,814
Extending the TAM for a World-Wide-Web context
Moon, J.-W., & Kim, Y.-G. (2001) · Information & Management · doi:10.1016/s0378-7206(00)00061-6 · Cited by 3,802
A Model of the Antecedents of Perceived Ease of Use: Development and Test
Venkatesh, V., & Davis, F. D. (1996) · Decision Sciences · doi:10.1111/j.1540-5915.1996.tb01822.x · Cited by 3,802
Gluesing, J. C. (2012) · Sage eBooks · doi:10.4135/9781412994231.n14 · Cited by 3,264
Kaplan, B., DeGross, J. I., Wood-Harper, A. T., Wastell, D. G., & Truex, D. P., III (2004) · IFIP International Federation for Information Processing/IFIP · doi:10.1007/b115738 · Cited by 3,139
Assessing IT Usage: The Role of Prior Experience
Taylor, S., & Todd, P. (1995) · MIS Quarterly · doi:10.2307/249633 · Cited by 2,891
Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study1
Compeau, D., Higgins, C. A., & Huff, S. L. (1999) · MIS Quarterly · doi:10.2307/249749 · Cited by 2,631
Hedonic Consumption: Emerging Concepts, Methods and Propositions
Hirschman, E. C., & Holbrook, M. B. (1982) · Journal of Marketing · doi:10.2307/1251707 · Cited by 2,565
Measuring the hedonic and utilitarian sources of consumer attitudes
Batra, R., & Ahtola, O. T. (1991) · Marketing Letters · doi:10.1007/bf00436035 · Cited by 2,225
Building consumer trust online
Hoffman, D. L., Novak, T. P., & Peralta, M. (1999) · Communications of the ACM · doi:10.1145/299157.299175 · Cited by 2,132
Strahilevitz, M. A., & Myers, J. G. (1998) · Journal of Consumer Research · doi:10.1086/209519 · Cited by 1,211
Saadé, R. G., & Bahli, B. (2004) · Information & Management · doi:10.1016/j.im.2003.12.013 · Cited by 1,109
Task Characteristics and the Experience of Optimal Flow in Human—Computer Interaction
Ghani, J. A., & Deshpande, S. P. (1994) · The Journal of Psychology · doi:10.1080/00223980.1994.9712742 · Cited by 1,048
Kellerman, H., & Burry, A. (2007) · Springer eBooks · doi:10.1007/978-0-387-71370-0_12 · Cited by 1,009
International Journal for Management Science
Area, I. L. (2013) · Cited by 968
Acceptance of e-commerce services: the case of electronic brokerages
Bhattacherjee, A. (2000) · IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans · doi:10.1109/3468.852435 · Cited by 831
Harrison, D. A., Mykytyn, P. P., & Riemenschneider, C. K. (1997) · Information Systems Research · doi:10.1287/isre.8.2.171 · Cited by 658
Multivariate data analysis with readings
Hackman, G. C. (1992) · Cited by 552
Chiu, C., Lin, H.-Y., Sun, S., & Hsu, M. (2009) · Behaviour and Information Technology · doi:10.1080/01449290801892492 · Cited by 332
Investigating the role of attitude in technology acceptance from an attitude strength perspective
Kim, Y. J., Chun, J. U., & Song, J. (2009) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2008.01.011 · Cited by 281
The experience of flow in computer-mediated and in face-to-face groups
Ghani, J. A., Supnick, R. M., & Rooney, P. S. (1991) · Journal of the Association for Information Systems · Cited by 269
Ho, L., & Kuo, T. (2009) · Computers in Human Behavior · doi:10.1016/j.chb.2009.07.007 · Cited by 181
Modifying adoption research for mobile Internet service adoption: cross-disciplinary interactions
Pedersen, P. E., & Ling, R. S. (2003) · Hawaii International Conference on System Sciences (HICSS) · doi:10.1109/hicss.2003.1174217 · Cited by 161
Flow experiences in information technology use
Pilke, E. M. (2004) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2004.01.004 · Cited by 159
Assessing the consumer decision process in the digital marketplace
Teo, T. S. H., & Yeong, Y. D. (2003) · Omega · doi:10.1016/s0305-0483(03)00055-0 · Cited by 156
Kim, S., & Garrison, G. (2010) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2010.02.008 · Cited by 144
The effect of flow experience on user adoption of mobile TV
Zhou, T. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.650711 · Cited by 96
Research in Consumer Behaviour
Lozza, E. (2013) · Micro & macro marketing · Cited by 76
Customer acceptance of IPTV service quality
Jang, H. Y., & Noh, M. (2011) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2011.03.003 · Cited by 71
Why do we blog? From the perspectives of technology acceptance and media choice factors
Chang, Y.-S., & Yang, C. (2012) · Behaviour and Information Technology · doi:10.1080/0144929x.2012.656326 · Cited by 57
Experience differences and continuance intention of blog sharing
Lu, H., & Lee, M.-R. (2011) · Behaviour and Information Technology · doi:10.1080/0144929x.2011.611822 · Cited by 56
장정무, Kim, J., & Kim, T. (2004) · Asia Pacific Journal of Information Systems · Cited by 16
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
Cited by
Sorted by citations
Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead
University of Arkansas, Venkatesh, V., Thong, J., Hong Kong University of Science and Technology, Xu, X., & The Hong Kong Polytechnic University (2016) · Journal of the Association for Information Systems · doi:10.17705/1jais.00428 · Cited by 2,513
Hoque, R., & Sorwar, G. (2017) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2017.02.002 · Cited by 1,004
El-Masri, M., & Tarhini, A. (2017) · Educational technology research and development · doi:10.1007/s11423-016-9508-8 · Cited by 440
What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model
Singh, S., Sahni, M. M., & Kovid, R. K. (2020) · Management Decision · doi:10.1108/md-09-2019-1318 · Cited by 433
Macedo, I. M. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.06.013 · Cited by 402
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review