The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
An empirical study on predicting user acceptance of e-shopping on the Web
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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
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
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Mathieson, K. (1991) · Information Systems Research · doi:10.1287/isre.2.3.173 · Cited by 4,216
Empirical Evaluation of the Revised Technology Acceptance Model
Szajna, B. (1996) · Management Science · doi:10.1287/mnsc.42.1.85 · Cited by 1,656
Management Information Systems: Appreciation and Involvement
Swanson, E. B. (1974) · Management Science · doi:10.1287/mnsc.21.2.178 · Cited by 529
PARE, G., & ELAM, J. J. (1995) · Behaviour & Information Technology · doi:10.1080/01449299508914635 · Cited by 84
Cited by
Hassanein, K., & Head, M. (2007) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2006.11.018 · Cited by 986
Understanding the attitude and intention to use smartphone chatbots for shopping
Kasilingam, D. L. (2020) · Technology in Society · doi:10.1016/j.techsoc.2020.101280 · Cited by 636
Technology acceptance: a meta‐analysis of the TAM: Part 1
Yousafzai, S. Y., Foxall, G. R., & Pallister, J. G. (2007) · Journal of Modelling in Management · doi:10.1108/17465660710834453 · Cited by 624
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
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
Modelling and testing consumer trust dimensions in e-commerce.
Oliveira, T., Alhinho, M., Rita, P., & Dhillon, G. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.01.050 · Cited by 464
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012) · Information Systems and e-Business Management · doi:10.1007/s10257-011-0181-5 · Cited by 451
Predicting consumer intentions to shop online: An empirical test of competing theories
Lin, H.-F. (2007) · Electronic Commerce Research and Applications · doi:10.1016/j.elerap.2007.02.002 · Cited by 435
Kim, T. G., Lee, J. H., & Law, R. (2008) · Tourism Management · doi:10.1016/j.tourman.2007.05.016 · Cited by 369
Conversational commerce: entering the next stage of AI-powered digital assistants
Balakrishnan, J., & Dwivedi, Y. K. (2024) · Annals of Operations Research · doi:10.1007/s10479-021-04049-5 · Cited by 301
Perceived risk and trust associated with purchasing at electronic marketplaces
Verhagen, T., Meents, S., & Tan, Y.-H. (2006) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000644 · Cited by 270
Factors influencing satisfaction and loyalty in online shopping: an integrated model
Lin, G. T. R., & Sun, C. (2009) · Online Information Review · doi:10.1108/14684520910969907 · Cited by 241
Perceived information transparency in B2C e-commerce: an empirical investigation.
Zhou, L., Wang, W., Xu, J. (., Liu, T., & Gu, J. (2018) · Information & Management · doi:10.1016/j.im.2018.04.005 · Cited by 233
Perceived irritation in online shopping: the impact of website design characteristics.
Hasan, B. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.07.056 · Cited by 203
Understanding consumers internet purchase intention in Malaysia
(2011) · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · doi:10.5897/ajbm10.1266 · Cited by 139
Citizens as consumers: Profiling e-government services’ users in Egypt via data mining techniques
Mostafa, M. M., & El-Masry, A. A. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2013.03.007 · Cited by 60
Udo, G. J., Bagchi, K. K., & Kirs, P. J. (2012) · Computers in Human Behavior · doi:10.1016/j.chb.2012.04.017 · Cited by 51
Aceptación del e-commerce en Colombia: un estudio para la ciudad de Medellín
Tavera Mesías, J. F., Sánchez Giraldo, J. C., & Ballesteros Díaz, B. (2011) · Revista Facultad de Ciencias Económicas · doi:10.18359/rfce.2245 · Cited by 29
Alwahaishi, S., & Snášel, V. (2013) · International Journal of E-Adoption · doi:10.4018/jea.2013040103 · Cited by 28
Predicting Internet Usage for Travel Bookings in China
Li, L., & Buhalis, D. (2005) · Information and Communication Technologies in Tourism 2005 · doi:10.1007/3-211-27283-6_39 · Cited by 18
Roberts, J., & Grassi, A. (2021) · The International Review of Retail, Distribution and Consumer Research · doi:10.1080/09593969.2021.1934074 · Cited by 13
Matosas-López, L. (2026) · Electronic Commerce Research · doi:10.1007/s10660-025-10064-6 · Cited by 4
Metadata
- Authors
- Shih, H.-P.
- Venue
- Information & Management
- Publisher
- Elsevier BV
- Published
- 2004-01
- Volume
- 41
- Issue
- 3
- Pages
- 351-368
- ISSN
- 0378-7206 (ISSN-L)
- OpenAlex
- W2082092096
- Cited by
- 722
- References
- 9
- FWCI
- 32.82
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
