Innovation Diffusion and New Product Growth Models in Marketing

1979 ◽  
Vol 43 (4) ◽  
pp. 55 ◽  
Author(s):  
Vijay Mahajan ◽  
Eitan Muller
1979 ◽  
Vol 43 (4) ◽  
pp. 55-68 ◽  
Author(s):  
Vijay Mahajan ◽  
Eitan Muller

This paper assesses the state-of-the-art of the diffusion models of new product acceptance. A number of issues related to the further development and validation of these models are discussed.


2013 ◽  
Vol 1 (1) ◽  
pp. 38-54 ◽  
Author(s):  
Stefano Pace

Today innovation can be so radical and futuristic that common models of innovation diffusion might not be enough. The success of an innovation relies on the functional features of the new product, but also on how consumers shape the meaning of that innovation. Consumer Culture Theory (CCT) can help managers by focusing on the cultural determinants of consumer behaviour. The work provides a preliminary analysis of how consumers elaborate the cultural platform that will determine the degree of success of the upcoming innovation Google Glass.


2001 ◽  
Vol 03 (04) ◽  
pp. 325-339 ◽  
Author(s):  
LUIGI DE CESARE ◽  
ANDREA DI LIDDO

We consider a firm that wishes to maximise the profits coming from the sale of a new product or technology by determining an optimal price and advertising strategy. A public authority wishes to accelerate and stimulate the adoption of the new product by using a budget to give price subsidies directly to the consumers. The problem is set up as a Stackelberg differential game.


2016 ◽  
Vol 53 (4) ◽  
pp. 1019-1030 ◽  
Author(s):  
Cristian F. Coletti ◽  
Karina B. E. de Oliveira ◽  
Pablo M. Rodriguez

Abstract We propose a stochastic model describing a process of awareness, evaluation, and decision making by agents on the d-dimensional integer lattice. Each agent may be in any of the three states belonging to the set {0, 1, 2. In this model 0 stands for ignorants, 1 for aware, and 2 for adopters. Aware and adopters inform its nearest ignorant neighbors about a new product innovation at rate λ. At rate α an agent in aware state becomes an adopter due to the influence of adopters' neighbors. Finally, aware and adopters forget the information about the new product, thus becoming ignorant, at rate 1. Our purpose is to analyze the influence of the parameters on the qualitative behavior of the process. We obtain sufficient conditions under which the innovation diffusion (and adoption) either becomes extinct or propagates through the population with positive probability.


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