The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Adoption of Internet shopping: the role of consumer innovativeness
Abstract
The projected sales potential for Internet commerce indicates that businesses must understand those consumer characteristics that will influence consumer adoption of this medium for shopping. An empirical study conducted here (n = 403) investigates the extent to which open‐processing (more general innovativeness) and domain‐specific innovativeness explain the conditions under which consumers move from general Internet usage to a product purchase via the Internet. The results of our study find that generally higher amounts of Internet use (for non‐shopping activities) are associated with an increased amount of Internet product purchases. Importantly, however, this relationship is moderated by domain‐specific but not general innovativeness. Implications for business practice and academic research are provided.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Innovativeness: The Concept and Its Measurement
Midgley, D. F., & Dowling, G. R. (1978) · Journal of Consumer Research · doi:10.1086/208701 · Cited by 1,550
Exploring the implications of the Internet for consumer marketing
Peterson, R. A., Balasubramanian, S., & Bronnenberg, B. J. (1997) · Journal of the Academy of Marketing Science · doi:10.1177/0092070397254005 · Cited by 1,373
Research works printed but not linked: 20
- Baron, R. and Kenny, D.A. (1986), “The moderator‐mediator distinction in social psychological research: conceptual, strategic, and statistical considerations”, Journal of Personality and Social Psychology, Vol. 51 No. 6, pp. 1173‐82. · DOI · Paper page
- Bass, F.M. (1969), “A new product growth model for consumer durables”, Management Science, Vol. 15 No. 5, pp. 215‐27. · DOI · Paper page
- Craig, S.C. and Ginter, J.L. (1975), “An empirical test of a scale for innovativeness”, in Schlinger, M.J. (Ed.), Advances in Consumer Research, Vol. 2, Chicago Association for Consumer Research, Chicago, IL, pp. 555‐62.
- Dickerson, M.D. and Gentry, J.W. (1983), “Characteristics of adopters and non‐adopters of home computers”, Journal of Consumer Research, Vol. 10, September, pp. 225‐35. · DOI · Paper page
- Gatignon, H. and Robertson, T.S. (1985), “A propositional inventory for new diffusion research”, Journal of Consumer Research, Vol. 1, March, pp. 849‐67. · DOI · Paper page
- Goldsmith, R.E. and Hofacker, C.F. (1991), “Measuring consumer innovativeness”, Journal of the Academy of Marketing Science, Vol. 19 No. 3, pp. 209‐21. · DOI · Paper page
- Hirschman, E.C. (1980a), “Innovativeness, novelty seeking, and consumer creativity”, Journal of Consumer Research, Vol. 7, December, pp. 283‐95. · DOI · Paper page
- Hirschman, E.C. (1980b), “Black ethnicity and innovative communication”, Journal of the Academy of Marketing Science, Vol. 8, Spring, pp. 100‐18. · DOI
- Hoffman, D.L. and Novak, T.P. (1996), “Marketing in hyper‐media computer‐mediated environments: conceptual foundations”, Journal of Marketing, Vol. 60, July, pp. 50‐68. · DOI
- Jarvenpaa, S.L. and Todd, P.A (1997), “Is there a future for retailing on the Internet?”, in Peterson, R.A. (Ed.), Electronic Marketing and the Consumer, Sage Publications, Thousand Oaks, CA.
- Joseph, B. and Vyas, S.J. (1984), “Concurrent validity of a measure of innovative cognitive style”, Journal of the Academy of Marketing Sciences, Vol. 12 No. 2, pp. 159‐75. · DOI
- Mahajan, V. and Wind, J. (1989), “Market discontinuities and strategic planning: a research agenda”, Technological Forecasting and Social Change, Vol. 36, August, pp. 185‐99. · DOI
- Nunnally, J.C. and Bernstein, I.H. (1994), Psychometric Theory, McGraw‐Hill, New York, NY.
- Peterson, R.A. (1997), “Electronic marketing: visions, definitions, and implications”, in Peterson, R.A (Ed.), Electronic Marketing and the Consumer, Sage Publications, Thousand Oaks, CA.
- Quelch, J.A. and Klein, L.R. (1996), “The Internet and international marketing”, Sloan Management Review, Vol. 37, Spring, pp. 60‐75.
- Robertson, T.S. and Kennedy, J.N. (1968), “Prediction of consumer innovators: application of multiple discriminant analysis”, Journal of Marketing Research, Vol. 5, February, pp. 64‐9. · DOI
- Rogers, E.M. (1983), Diffusion of Innovations, The Free Press, New York, NY.
- Rogers, E.M. and Shoemaker, F.F. (1971), Communication of Innovations, The Free Press, New York, NY.
- Shi, C.S. and Salesky, A.M. (1994), “Building a strategy for electronic home shopping”, The McKinsey Quarterly, Vol. 4, pp. 77‐95.
- Taylor, J.W. (1977), “A striking characteristic of innovators”, Journal of Marketing Research, Vol. 14, pp. 104‐7. · DOI
Cited by
(2007) · Cited by 737
Exploring factors affecting the adoption of mobile commerce in Singapore
Yang, K. C. C. (2005) · Telematics and Informatics · doi:10.1016/j.tele.2004.11.003 · Cited by 656
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
Thakur, R., & Srivastava, M. (2014) · Internet Research · doi:10.1108/intr-12-2012-0244 · Cited by 606
Escobar-Rodríguez, T., & Carvajal-Trujillo, E. (2014) · Tourism Management · doi:10.1016/j.tourman.2014.01.017 · Cited by 590
Metadata
- Authors
- Varma Citrin, A., Sprott, D. E., Silverman, S. N., & Stem, D. E.
- Venue
- Industrial Management & Data Systems
- Publisher
- Emerald
- Published
- 2000-10-01
- Volume
- 100
- Issue
- 7
- Pages
- 294-300
- ISSN
- 0263-5577 (ISSN-L)
- OpenAlex
- W2075334050
- Cited by
- 553
- References
- 2
- FWCI
- 25.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.emerald.com/insight/site-policies (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.
