New-product diffusion models

By Vijay Mahajan, Eitan Muller, Y. Wind. 2008

434 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5014620cdcfd1b25e24021fa2b2bbf6b6b9eff9f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

New Product Diffusion with Influentials and Imitators (2007, methodology): “This result disproves a common contention among diffusion researchers based on an erroneous mixture interpretation of the mixed-influence model (e.g., Bass 1969, Mahajan et al. 1993, Rogers 2003).”
Innovation diffusion and new product growth models: A critical review and research directions (2010, background): “Mahajan et al. (1993) investigated the market potential issue in the context of Polaroid's lawsuit against Kodak, the latter having been accused of patent violation and of attracting Polaroid's customers to a new brand of digital camera.”
The NPV of bad news (2007, methodology): “Note that the somewhat more familiar nomenclature would denote the global and local factors as external and internal factors, respectively ( Mahajan, Muller, & Wind, 2000 ).”
Informational Cascades and Software Adoption on the Internet: An Empirical Investigation (2009, background): “The expression of Bass Diffusion Model of the number of new adopters at time t ( Mahajan et al. 1993, p. 354 ) is”
Adoption Versus Adaptation, with Emphasis on Climate Change (2012, methodology): “Expanded imitation models (Bass 1969) have been used extensively in marketing, and recent surveys (Mahajan et al. 1995, 2000; Peres et al. 2010) show that these models were expanded to include communication between consumers (Galeotti & Goyal 2010) and integration of marketing tools (Van den Bulte…”
An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets (2013, unknown): “An alternative approach to this concern might be to employ an innovation diffusion model (Mahajan et al. 2000), however, given the stability of our findings in the face of an autocorrelation term, we do not pursue such modeling here.”