Skip to main content

Research Repository

Advanced Search

Diffusion of multi-generational high-technology products.

Shi, L.; Fernandes, K.; Chumnumpan, P.


L. Shi

P. Chumnumpan


Previous multi-generational product diffusion (MGPD) models were developed based on the diffusion patterns at that time, but may not be adopted in today's cases. By incorporating the effect of customers' forward-looking behaviour, this paper offers a parsimonious and original model that captures the dynamics of MGPD in current high-technology markets. We empirically examine the feasibility of using previous MGPD models and our suggested model to explain the market growth of new products from high-technology industries. The results show that the new model exhibits better curve fitting and forecasting performance than the prior MGPD models in the cases of this study. For marketing researchers, our model and its results suggest customers' forward looking behaviour is perhaps one of the key sales affecting factors that are missing in previous MGPD models in explaining nowadays' cases. For marketing practitioners, this study offers a valuable tool for marketing strategies in high-tech industries.


Shi, L., Fernandes, K., & Chumnumpan, P. (2014). Diffusion of multi-generational high-technology products. Technovation, 34(3), 162-176.

Journal Article Type Article
Online Publication Date Dec 30, 2013
Publication Date 2014-03
Deposit Date Jan 13, 2014
Journal Technovation
Print ISSN 0166-4972
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 34
Issue 3
Pages 162-176
Public URL