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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kumar, U. Kumar, V. |
| Copyright Year | 1991 |
| Description | Author affiliation: Sch. of Bus., Carleton Univ., Ottawa, Ont., Canada (Kumar, U.; Kumar, V.) |
| Abstract | A framework consisting mainly of five different approaches to generate mathematical models of the innovation diffusion process has been considered. The five approaches are associated, respectively, with the nature of the innovation diffusion process itself, biological and social diffusion processes, the concavity property of entropy measures, linear combinations of existing models, and relationships among models. In order to demonstrate the usefulness of these approaches, some of the existing models have been generated by them as examples. The capabilities and limitations of each approach are highlighted. The most desirable approach appears to be the first approach, that based on the insight into the nature of the innovation diffusion process.<> |
| Starting Page | 673 |
| Ending Page | 676 |
| File Size | 428715 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780301617 |
| DOI | 10.1109/PICMET.1991.183763 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1991-10-27 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Technological innovation Shape Fitting Diffusion processes Predictive models Technology forecasting Mathematical model Aircraft Equations Business |
| Content Type | Text |
| Resource Type | Article |
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