The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Perceived risks as barriers to Internet and e‐commerce usage
Abstract
Previous research suggests that perceived risk is an important ingredient in the consumer decision‐making process. The purpose of the present study is to investigate what are the perceived barriers to Internet usage and e‐marketing by both users and non‐users. By understanding these potential obstacles, more efficient marketing strategies will become available that will drive Internet use and e‐commerce. A detailed perceived risks map has been developed using a qualitative research paradigm. We suggest a model with the factors affecting the Internet’s perceived risk elements. The factors are demographic traits and usage behavior characteristics. The model is tested against a sample of 465 employed adults.
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Citations
Cites
Consumer trust in an Internet store
Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000) · Information Technology and Management · doi:10.1023/a:1019104520776 · Cited by 2,577
Research works printed but not linked: 15
- Armstrong, L., Phillips, J.G. and Saling, L.L. (2000), “Potential determinants of heavier Internet usage”, International Journal of Human Computer Studies, Vol. 53, pp. 537‐50. · DOI · Paper page
- Bettman, J. (1973), “Perceived risk and its components – a model and empirical test”, Journal of Marketing Research, Vol. 10, pp. 184‐90. · DOI · Paper page
- Cox, D.F. and Rich, S.U. (1964), “Perceived risk and consumer decision making – the case of telephone shopping”, Journal of Marketing Research, Vol. 1, pp. 2‐39. · DOI · Paper page
- Dekimpe, M.G., Parker, P.M. and Sarvary, M. (2000), “Global diffusion of technological innovations – a coupled‐hazard approach”, Journal of Marketing Research, Vol. 37, pp. 47‐59. · DOI · Paper page
- Donthu, N. and Garcia, A. (1999), “The Internet shopper”, Journal of Advertising Research, Vol. 39 No. 3, pp. 52‐8.
- Hoag, A. (1998), “Measuring usage and satisfaction”, D‐Lib Magazine, March, available at: www.dlib.org · doi:10.1045/march98-hoag
- Introna, L.D. and Pouloudi, A. (1999), “Privacy in the information age: stakeholders, interests and values”, Journal of Business Ethics, Vol. 22 No. 1, pp. 27‐38. · DOI
- Katona, G. (1953), “Rational behavior and economic behavior”, Psychological Review, pp. 307‐18. · DOI
- Liebermann, Y. and Paroush, J. (1982), “Economic aspects of diffusion processes”, Journal of Economics and Business, Vol. 34, pp. 95‐100. · DOI
- Mitchell, V.W., Davies, F., Moutinho, L. and Vassos, V. (1999), “Using neural networks to understand service risk in the holiday product”, Journal of Business Research, Vol. 46, pp. 167‐80. · DOI
- Miyazaki, A.D. and Fernandez, A. (2001), “Consumer perceptions of privacy and security risks for online shopping”, The Journal of Consumer Affairs, Vol. 35 No. 1, pp. 27‐44. · DOI · Paper page
- Morris, M.G. and Turner, J.M. (2001), “Assessing users’ subjective quality of experience with the World Wide Web: an exploratory examination of temporal changes in technology acceptance”, International Journal of Human Computer Studies, Vol. 54 No. 6, pp. 877‐901. · DOI
- Salkin, S. (1999), “Fear of buying”, Logistics Management and Distribution Report, Vol. 38 No. 5, p. 101.
- Sevcik, P. and Bartlett, J. (2001), “Understanding Web performance”, Business Communications Review, Vol. 31 No. 10, pp. 28‐36.
- Silverman, B.G., Bachann, M. and Al‐Akharas (2001), “Implications of buyer decision theory for design of e‐commerce Web sites”, International Journal of Human Computer Studies, Vol. 55, pp. 815‐44. · DOI
Cited by
Consumer trust, perceived security and privacy policy: Three basic elements of loyalty to a web site
Flavián, C., & Guinalíu, M. (2006) · Industrial Management & Data Systems · doi:10.1108/02635570610666403 · Cited by 770
Impact of hotel website quality on online booking intentions: eTrust as a mediator
Wang, L., Law, R., Guillet, B. D., Hung, K., & Fong, D. K. C. (2015) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2015.03.012 · Cited by 347
A Consumer Perspective of E-Service Quality
Zhang, X., & Prybutok, V. R. (2005) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2005.856568 · Cited by 284
A comprehensive model of perceived risk of e-commerce transactions
Glover, S., & Benbasat, I. (2010) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415150202 · Cited by 196
Al Kailani, M., & Kumar, R. (2011) · International Journal of Business and Management · doi:10.5539/ijbm.v6n5p76 · Cited by 135
Metadata
- Authors
- Liebermann, Y., & Stashevsky, S.
- Venue
- Qualitative Market Research: An International Journal
- Publisher
- Emerald
- Published
- 2002-12-01
- Volume
- 5
- Issue
- 4
- Pages
- 291-300
- ISSN
- 1352-2752 (ISSN-L)
- OpenAlex
- W2044728621
- Cited by
- 354
- References
- 1
- FWCI
- 17.78
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.emerald.com/insight/site-policies (tdm)
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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.
