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To buy or not to buy experience goods online: Perspective of innovation adoption barriers
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Cites
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Cited by
Online shopping drivers and barriers for older adults: Age and gender differences
Lian, J.-W., & Yen, D. C. (2014) · Computers in Human Behavior · doi:10.1016/j.chb.2014.04.028 · Cited by 660
Self-citationLeong, L.-Y., Hew, T.-S., Ooi, K.-B., & Wei, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102047 · Cited by 528
An innovation resistance theory perspective on mobile payment solutions
Kaur, P., Dhir, A., Singh, N., Sahu, G., & Almotairi, M. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2020.102059 · Cited by 487
Consumer Resistance to Innovation in Services: Challenges and Barriers in the Internet of Things Era
Mani, Z., & Chouk, I. (2018) · Journal of Product Innovation Management · doi:10.1111/jpim.12463 · Cited by 391
Consumers’ Resistance to Digital Innovations: A Systematic Review and Framework Development
Talwar, S., Talwar, M., Kaur, P., & Dhir, A. (2020) · Australasian Marketing Journal · doi:10.1016/j.ausmj.2020.06.014 · Cited by 348
Metadata
- Authors
- Lian, J.-W., & Yen, D. C.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 29
- Issue
- 3
- Pages
- 665-672
- ISSN
- 0747-5632 (ISSN-L)
- OpenAlex
- W2044021967
- Cited by
- 169
- References
- 7
- FWCI
- 18.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
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- Lian, J.-W., & Yen, D. C. (2013). To buy or not to buy experience goods online: Perspective of innovation adoption barriers. Computers in Human Behavior. https://doi.org/10.1016/j.chb.2012.10.009
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.
