The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages
Abstract
In this article we simplify and apply our 1978 contingency model of adoption. In the simplified model, an individual's predisposition to innovate is modified by socially transmitted messages about the innovation, as well as by other situation specific factors. This model is used to make predictions about the future behavior of a sample of consumers that are tested with data collected during the diffusion of six innovations. While our findings support the model, especially with respect to the role of innovative individuals, they also demonstrate the need to develop explanations of rejection.
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
Self-citation
Cited by
Frambach, R. T., & Schillewaert, N. (2002) · Journal of Business Research · doi:10.1016/s0148-2963(00)00152-1 · Cited by 1,270
Sönmez (1998) · doi:10.1016/s0160-7383(97)00072-8 · Cited by 1,018
A multidimensional approach to the adoption of innovation
Cooper, J. R. (1998) · Management Decision · doi:10.1108/00251749810232565 · Cited by 466
The role of consumer innovativeness and perceived risk in online banking usage
Aldás‐Manzano, J., Lassala‐Navarré, C., Ruiz‐Mafé, C., & Sanz‐Blas, S. (2009) · International Journal of Bank Marketing · doi:10.1108/02652320910928245 · Cited by 364
Domain-specific innovativeness: A meta-analysis in business and consumer
Araujo, C. F., Ladeira, W. J., Santini, F. D. O., & Sampaio, C. H. (2016) · RAI revista de administração e inovação · doi:10.1016/j.rai.2016.03.003 · Cited by 22
Metadata
- Authors
- Midgley, D. F., & Dowling, G. R.
- Venue
- Journal of Consumer Research
- Publisher
- Oxford University Press (OUP)
- Published
- 1993-03
- Volume
- 19
- Issue
- 4
- Pages
- 611
- ISSN
- 0093-5301 (ISSN-L)
- 1537-5277
- OpenAlex
- W2059641860
- Cited by
- 243
- References
- 1
- FWCI
- 4.72
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages. https://app.cochat.ai/papers/10.1086/209326
- The paper
- Midgley, D. F., & Dowling, G. R. (1993). A Longitudinal Study of Product Form Innovation: The Interaction between Predispositions and Social Messages. Journal of Consumer Research. https://doi.org/10.1086/209326
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.
