The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Extrinsic versus intrinsic motivations for consumers to shop on-line
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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
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
Agarwal, R., & Karahanna, E. (2000) · MIS Quarterly · doi:10.2307/3250951 · Cited by 4,726
Deci, E. L. (1975) · doi:10.1007/978-1-4613-4446-9 · Cited by 2,911
Examining the technology acceptance model using physician acceptance of telemedicine technology
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999) · Journal of Management Information Systems · doi:10.1080/07421222.1999.11518247 · Cited by 1,951
Cited by
Understanding e-learning continuance intention: An extension of the Technology Acceptance Model
Roca, J. C., Chiu, C.-M., & Martínez, F. J. (2006) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.01.003 · Cited by 1,399
Consumer e-shopping acceptance: Antecedents in a technology acceptance model
Ha, S., & Stoel, L. (2009) · Journal of Business Research · doi:10.1016/j.jbusres.2008.06.016 · Cited by 1,353
Roca, J. C., & Gagné, M. (2008) · Computers in Human Behavior · doi:10.1016/j.chb.2007.06.001 · Cited by 732
User acceptance of YouTube for procedural learning: An extension of the Technology Acceptance Model
Lee, D. Y., & Lehto, M. R. (2013) · Computers & Education · doi:10.1016/j.compedu.2012.10.001 · Cited by 565
Kim, T. G., Lee, J. H., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.016 · Cited by 369
Ashraf, A. R., Thongpapanl, N. (., & Auh, S. (2014) · Journal of International Marketing · doi:10.1509/jim.14.0065 · Cited by 318
Utilitarian and hedonic motivations for live streaming shopping
Cai, J., Wohn, D. Y., Mittal, A., & Sureshbabu, D. (2018) · Proceedings of the 2018 ACM International Conference on Interactive Experiences for TV and Online Video · doi:10.1145/3210825.3210837 · Cited by 315
Consumer's decision to shop online: The moderating role of positive informational social influence
Lee, M. K. O., Shi, N., Cheung, C. M. K., Lim, K. H., & Sia, C. L. (2011) · Information & Management · doi:10.1016/j.im.2010.08.005 · Cited by 315
What does germane load mean? An empirical contribution to the cognitive load theory
Debue, N., & van de Leemput, C. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01099 · Cited by 209
Celik, H. (2016) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-05-2015-0077 · Cited by 209
Examination of cognitive absorption influencing the intention to use a virtual community
Lin, H.-F. (2009) · Behaviour & Information Technology · doi:10.1080/01449290701662169 · Cited by 102
Nanyang Technological University, Chandra, S., Srivastava, S., HEC School of Management, P., Theng, Y.-L., & Nanyang Technological University (2012) · Journal of the Association for Information Systems · doi:10.17705/1jais.00310 · Cited by 90
Comegys, C., Hannula, M., & Väisänen, J. (2006) · Journal of Targeting, Measurement and Analysis for Marketing · doi:10.1057/palgrave.jt.5740193 · Cited by 82
Does altruism matter on online group buying? Perspectives from egotistic and altruistic motivation
Shiau, W.-L., & Chau, P. Y. K. (2015) · Information Technology & People · doi:10.1108/itp-08-2014-0174 · Cited by 57
Augmented reality (AR) marketing and consumer responses: a study of cue-utilization and habituation
Söderström, C., Mikalef, P., Dypvik Landmark, A., & Gupta, S. (2024) · Journal of Business Research · doi:10.1016/j.jbusres.2024.114813 · Cited by 51
Impact of digital burnout on the use of digital consumer platforms
da Silva, F. P., Jerónimo, H. M., Henriques, P. L., & Ribeiro, J. (2024) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.123172 · Cited by 32
Metadata
- Authors
- Shang, R.-A., Chen, Y.-C., & Shen, L.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2005-03
- Volume
- 42
- Issue
- 3
- Pages
- 401-413
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2130881851
- Cited by
- 518
- References
- 5
- FWCI
- 32.45
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
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Data sources
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.
