The DOI matches its Crossref record.
Comments on “A New Product Growth for Model Consumer Durables The Bass Model”
Abstract
The paper that I authored and that was published in Management Science in 1969 (Bass 1969) has become widely known as the “Bass Model” (see Morrison and Raju 2004). The model of the diffusion of new products and technologies developed in the paper is one of the most widely applied models in management science. It was especially gratifying for me to learn that INFORMS members have voted the “Bass Model” paper as one of the Top 10 Most Influential Papers published in the 50-year history of Management Science in connection with the 50th anniversary of the journal. In this commentary on the paper I shall discuss some background and history of the development of the paper, the reasons why the model has been influential, some important extensions of the model, some examples of applications, and some examples of the frontiers of research involving the Bass Model. In the current period, in which there is much discussion about the marketing of applications of management science methods and practice, I hope that this commentary will be useful in providing insights about some of the properties of models that will be applied.
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
Cited by
Quantifying Long-Term Scientific Impact
Wang, D., Song, C., & Barabási, A.-L. (2013) · Science · doi:10.1126/science.1237825 · Cited by 753
Bitcoin emissions alone could push global warming above 2°C
Mora, C., Rollins, R. L., Taladay, K., Kantar, M. B., Chock, M. K., Shimada, M., & Franklin, E. C. (2018) · Nature Climate Change · doi:10.1038/s41558-018-0321-8 · Cited by 449
The Dynamics of Cortical and Hippocampal Atrophy in Alzheimer Disease
Sabuncu, M. R. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.167 · Cited by 339
Basu, S., Vellakkal, S., Agrawal, S., Stuckler, D., Popkin, B., & Ebrahim, S. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001582 · Cited by 197
Metadata
- Authors
- Bass, F. M.
- Venue
- Management Science
- Published
- 2004-12
- Volume
- 50
- Issue
- 12_supplement
- Pages
- 1833-1840
- ISSN
- 0025-1909 (ISSN-L)
- 1526-5501
- OpenAlex
- W2069860303
- Cited by
- 505
- References
- 0
- 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: Comments on “A New Product Growth for Model Consumer Durables The Bass Model”. https://app.cochat.ai/papers/10.1287/mnsc.1040.0300
- The paper
- Bass, F. M. (2004). Comments on “A New Product Growth for Model Consumer Durables The Bass Model”. Management Science. https://doi.org/10.1287/mnsc.1040.0300
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.