The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The relationship between consumer characteristics and attitude toward online shopping
Abstract
The purpose of the experiment reported here was to examine Internet user concerns and perceptions of online shopping. The attitude of Internet users toward online shopping was measured using the Fishbein model. The relative factors influencing user attitudes toward online shopping and the relationship between the attitude and the influence factors were explored. The results show that the Fishbein model can effectively measure consumer attitudes and the examined consumer characteristics were important influence factors on consumer attitudes and online shopping decisions.
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Cites
(1993) · Medical Entomology and Zoology · Cited by 7,690
Alba, J., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R., Sawyer, A., & Wood, S. (1997) · Journal of Marketing · doi:10.1177/002224299706100303 · Cited by 2,232
E-satisfaction: an initial examination
Szymanski, D. M., & Hise, R. T. (2000) · Journal of Retailing · doi:10.1016/s0022-4359(00)00035-x · Cited by 2,002
Fishbein, M. (1963) · Human Relations · doi:10.1177/001872676301600302 · Cited by 1,652
Consumer Perceptions of Privacy and Security Risks for Online Shopping
MIYAZAKI, A. D., & FERNANDEZ, A. (2001) · Journal of Consumer Affairs · doi:10.1111/j.1745-6606.2001.tb00101.x · Cited by 1,178
Bettencourt, L. A., & Brown, S. W. (1997) · Journal of Retailing · doi:10.1016/s0022-4359(97)90014-2 · Cited by 948
Evaluating the Potential of Interactive Media through a New Lens: Search versus Experience Goods
Klein, L. R. (1998) · Journal of Business Research · doi:10.1016/s0148-2963(97)00062-3 · Cited by 882
Predictors of online buying behavior
Bellman, S., Lohse, G. L., & Johnson, E. J. (1999) · Communications of the ACM · doi:10.1145/322796.322805 · Cited by 854
Determining Where to Shop: Fixed and Variable Costs of Shopping
Bell, D. R., Ho, T.-H., & Tang, C. S. (1998) · Journal of Marketing Research · doi:10.1177/002224379803500306 · Cited by 589
Fishbein, M. (1976) · Lecture Notes in Economics and Mathematical Systems · doi:10.1007/978-3-642-51565-1_25 · Cited by 437
Cited by
Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services
Yeo, V. C. S., Goh, S.-K., & Rezaei, S. (2017) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2016.12.013 · Cited by 956
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
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
Understanding consumers internet purchase intention in Malaysia
(2011) · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · doi:10.5897/ajbm10.1266 · Cited by 139
Arora, N., & Aggarwal, A. (2018) · South Asian Journal of Business Studies · doi:10.1108/sajbs-04-2017-0048 · Cited by 108
Metadata
- Authors
- Wu, S.
- Venue
- Marketing Intelligence & Planning
- Publisher
- Emerald
- Published
- 2003-02-01
- Volume
- 21
- Issue
- 1
- Pages
- 37-44
- ISSN
- 0263-4503 (ISSN-L)
- OpenAlex
- W1994672388
- Cited by
- 301
- References
- 24
- FWCI
- 10.68
- 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.