Cited by 150Technology Adoption and User BehaviourConsumer Behavior and Marketing InfluenceHealth, Technology, Consumer Behavior

The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.

Factors affecting adoption of product virtualization technology for online consumer electronics shopping

Kim, Jiyeon, Forsythe, Sandra·2010·International Journal of Retail & Distribution Management

Abstract

Purpose The purpose of this paper is to investigate the factors affecting the adoption of product virtualization technology (PVT) for online shopping small consumer electronics by applying a modified electronic technology acceptance model (e‐TAM) and tested model invariance male/female shoppers in the overall adoption process. Design/methodology/approach Online surveys are completed by a US national panel of online shoppers. The data are analyzed using single‐ and multiple‐group structural equation modelling. Findings The results provide empirical support for e‐TAM in the context of PVT acceptance for online small consumer electronics shopping. In addition, two external constructs – technology anxiety (TA) and innovativeness (INN) – show significant influences on the beliefs (perceived usefulness, ease‐of‐use and entertainment value). There is no significant gender difference in the overall adoption process of PVT. Research limitations/implications More specific consumer characteristics such as time‐consciousness, opinion leadership or age differences under different categories may be useful to investigate. Practical implications PVT may provide a valuable tool that online retailers can use to enhance their consumers' purchase behaviour, either by reducing the perceived risk through better online product evaluation or by enhancing consumers' enjoyment of the shopping process on their web site by increasing the number of unique and repeat traffic visitors to the site and ultimately establish an online competitive advantage. Originality/value Inclusion of TA and INN in e‐TAM for PVT acceptance and the equivalence test of the hypothesized model across gender make the research unique, adding to the explanatory and predictive power of the e‐TAM.

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Crossref · 10.1108/09590551011027122

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Research works printed but not linked: 7

  1. Internetretailer.com (2005), “Gender matters”, 1 November, available at: www.internetretailer.com/internet/marketing‐conference/35722‐gender‐matters.html.
  2. Internetretailer.com (2006), “77% of consumers research consumer electronics online”, 24 October, available at: www.internetretailer.com/internet/marketing‐conference/93160‐77‐consumers‐research‐electronics‐purchases‐online.html.
  3. Marsh, H.W. and Hau, K.T. (1999), “Confirmatory factor analysis: strategies for small sample sizes”, in Hoyle, N R.H. (Ed.), Statistical Strategies for Small Sample Research, Sage, Thousand Oaks, CA.
  4. Meuter, M.L., Ostrom, A.L., Bitner, M.J. and Roundtree, R. (2003), “The influence of technology anxiety on consumer use and experiences with self‐service technologies”, Journal of Business Research, Vol. 56, pp. 899‐906. · DOI · Paper page
  5. Minton, H.L. and Schneider, F.W. (1980), Differential Psychology, Waveland Press, Prospect Heights, IL.
  6. Orwall, B. (2001), “Thumbs up: what makes a good entertainment site click? We're starting to get the answers”, Wall Street Journal, Vol. 26, March, p. R6.
  7. Rogers, E. (1995), Diffusion of Innovations, 4th ed., The Free Press, New York, NY.

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Items 101–150 of 150

Metadata

Authors
Kim, J., & Forsythe, S.
Affiliations
  • University of South Carolina (US)
  • Auburn University (US)
Venue
International Journal of Retail & Distribution Management
Publisher
Emerald
Published
2010-03-16
Volume
38
Issue
3
Pages
190-204
ISSN
0959-0552 (ISSN-L)
OpenAlex
W1972912785
Cited by
150
References
53
Citations by year
2026: 2 · 2025: 3 · 2024: 5 · 2023: 13 · 2022: 13 · 2021: 16 · 2020: 13 · 2019: 14 · 2018: 10 · 2017: 10 · 2016: 13 · 2015: 5 · 2014: 13 · 2013: 5 · 2012: 11
FWCI
14.20
Type
journal article
Language
en
Open access
closed
Locations
International Journal of Retail & Distribution Management (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
  • Health Sciences › Health Professions › Health Information Management › Health, Technology, Consumer Behavior
Keywords
technology adoption, technology anxiety, consumer innovativeness, perceived usefulness, perceived ease of use, entertainment value, gender differences, online shopping, risk perception

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