The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
A study of mobile user engagement (MoEN): Engagement motivations, perceived value, satisfaction, and continued engagement intention
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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
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
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
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012) · MIS Quarterly · doi:10.2307/41410412 · Cited by 15,756
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
Maslach, C., Schaufeli, W. B., & Leiter, M. P. (2001) · Annual Review of Psychology · doi:10.1146/annurev.psych.52.1.397 · Cited by 12,852
A Caution Regarding Rules of Thumb for Variance Inflation Factors
O’brien, R. M. (2007) · Quality & Quantity · doi:10.1007/s11135-006-9018-6 · Cited by 11,217
Cited by
Perski, O., Blandford, A., West, R., & Michie, S. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-016-0453-1 · Cited by 1,193
Chen, C.-C., & Lin, Y.-C. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.12.003 · Cited by 810
Online Learning: Adoption, Continuance, and Learning Outcome—A Review of Literature
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.05.005 · Cited by 607
Jiang, H., Cheng, Y., Yang, J., & Gao, S. (2022) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107329 · Cited by 362
Customer engagement and online reviews
Thakur, R. (2018) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.11.002 · Cited by 336
Wang, Y., Gu, J., Wang, S., & Wang, J. (2019) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2019.05.044 · Cited by 334
Chandra, S., Shirish, A., & Srivastava, S. C. (2022) · Journal of Management Information Systems · doi:10.1080/07421222.2022.2127441 · Cited by 315
Jozani, M., Ayaburi, E., Ko, M., & Choo, K.-K. R. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2020.106260 · Cited by 303
Zhu, G., So, K. K. F., & Hudson, S. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2016-0496 · Cited by 298
Reflection Companion: A Conversational System for Engaging Users in Reflection on Physical Activity
Kocielnik, R., Xiao, L., Avrahami, D., & Hsieh, G. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3214273 · Cited by 221
Examining the antecedents and consequences of mobile app engagement
Kim, S., & Baek, T. H. (2018) · Telematics and Informatics · doi:10.1016/j.tele.2017.10.008 · Cited by 203
Lee, K., Lee, K. Y., & Sheehan, L. (2020) · Information Systems Frontiers · doi:10.1007/s10796-019-09975-1 · Cited by 95
Crane, D., Garnett, C., Brown, J., West, R., & Michie, S. (2017) · Frontiers in Public Health · doi:10.3389/fpubh.2017.00039 · Cited by 82
Characterizing user engagement with health app data: a data mining approach
Serrano, K. J., Coa, K. I., Yu, M., Wolff-Hughes, D. L., & Atienza, A. A. (2017) · Translational Behavioral Medicine · doi:10.1007/s13142-017-0508-y · Cited by 67
Uses and gratifications of educational apps: A study during COVID-19 pandemic
Menon, D. (2022) · Computers and Education Open · doi:10.1016/j.caeo.2022.100076 · Cited by 59
Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study
(2019) · doi:10.2196/13244 · Cited by 54
Han, L., Ma, Y., Addo, P. C., Liao, M., & Fang, J. (2023) · Behavioral Sciences · doi:10.3390/bs13050385 · Cited by 54
Design Foundations for AI Assisted Decision Making: A Self Determination Theory Approach
De Vreede, T., Raghavan, M., & De Vreede, G.-J. (2021) · Proceedings of the Annual Hawaii International Conference on System Sciences · doi:10.24251/hicss.2021.019 · Cited by 42
(2015) · International Conference on Information Systems · Cited by 25
Engaging with EPIO, a digital pain self-management program: a qualitative study
Bostrøm, K., Varsi, C., Eide, H., Børøsund, E., Kristjansdottir, Ó. B., Schreurs, K. M. G., Waxenberg, L. B., Weiss, K. E., Morrison, E. J., Nordang, E. F., et al. (2022) · BMC Health Services Research · doi:10.1186/s12913-022-07963-x · Cited by 18
“Digital solutions allow users to control when, where, and how they engage with a program or intervention [44, 45], and the availability and easy access to the EPIO program (i.”
Background
Metadata
- Authors
- Kim, Y. H., Kim, D. J., & Wachter, K.
- Venue
- Decision Support Systems
- Publisher
- Elsevier BV
- Published
- 2013-12
- Volume
- 56
- Pages
- 361-370
- ISSN
- 0167-9236 (ISSN-L)
- OpenAlex
- W2068533618
- Cited by
- 769
- References
- 22
- FWCI
- 50.50
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.