Doshi, Anil R;
(2025)
Diffusion with generational cohorts.
Industry and Innovation
, 32
(3)
pp. 281-306.
10.1080/13662716.2024.2377706.
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Abstract
This paper examines technology adoption where sets of new members–generational cohorts–enter the population over time. I look at the diffusion of a social media platform, Twitter, through eight annual generational cohorts of newly premiering television shows, debuting between 2006 and 2013. I first show that a new generational cohort’s rate of adoption is affected by the behaviour of prior cohorts that are present in the existing population. I then show how the macro-diffusion patterns change over the generational cohorts. These results have implications for organisations developing and managing new technologies. Incumbents must account for a distinct diffusion process that occurs with each new generational cohort to defend against the constant threat of a rival technology diffusing more widely in a new generational cohort. Organisations developing newer technologies can enter and successfully compete in a market with a widely diffused incumbent technology if they are able to attract a newer generational cohort.
| Type: | Article |
|---|---|
| Title: | Diffusion with generational cohorts |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/13662716.2024.2377706 |
| Publisher version: | https://doi.org/10.1080/13662716.2024.2377706 |
| Language: | English |
| Additional information: | This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Social Sciences, Economics, Management, Business & Economics, Diffusion, generational cohorts, social media, hazard model, logistic diffusion pattern, television industry, O33, O30, C22, C32, SOCIAL MEDIA, INNOVATION DIFFUSION, TECHNOLOGY DIFFUSION, PRODUCTS EVIDENCE, GLOBAL DIFFUSION, ADOPTION, DETERMINANTS, QUALITY, COMPATIBILITY, COMPETITION |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > UCL School of Management |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10208882 |
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