Modelling innovation and imitation sales of products with multiple technological generations

Chanda, Udayan; Bardhan, Amit Kumar

doi:10.1016/j.hitech.2007.12.004

Cited by 37 publications

(19 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Additionally, Mahajan and Muller's (1996) expansion of the Bass model allows for the simultaneous capture of the substitution pattern and the diffusion of the base technology and thus shows leap-frogging effects. Further development of multi-generation aspects include repurchasing and substitution of low-tech products (Speece and McClachlan 1995), demand dynamics in the adoption process (Jun and Park 1999), the integration of marketing mix variables (Jun and Park 1999;Danaher et al 2001), individual consumer characteristics based on group parameters (Chanda and Bardhan 2008) or the empirical fit of units-in-use and overall sales data (Jiang and Jain 2012).…”

Section: Selected Aspects Of Modelling Innovation Diffusionmentioning

confidence: 99%

Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles

Zsifkovits

Günther

2015

Cent Eur J Oper Res

View full text Add to dashboard Cite

Innovation resistances play a major role in innovation diffusion, as they do not only hinder the adoption, but might also change a decision maker's evaluation. Although these influences are widely accepted, previous models on the diffusion of new technologies and products have either reduced these multiple dimensions of uncertainties to only one parameter, or have completely neglected them altogether. Both might lead to a pro-innovation bias. Therefore we present an agent-based approach that takes several different innovation resistances in a multi-generation environment into account. Hydrogen vehicles and the necessity of setting up a corresponding infrastructure were chosen for a sample application as they incorporate a band of various dimensions of innovation resistance. Examples are the uncertain infrastructure situation, the uncertainty arising from new and improved features, the uncertainty about the technologies' real ecological benefit, the unknown maintenance cycles and costs, or the ambiguous technical parameters such as vehicle range. These various uncertainties are even more distinctive if multiple technology generations are considered. Our results indicate that a short-term decrease in the adoption rate can be observed although the technological parameters of a later product generation might be more beneficial for the consumers. As we show, this effect can be eased through timing variation of the communication measures. Therefore we conclude that considering multiple innovation resistance factors in innovation diffusion might reduce the pro-innovation bias.

show abstract

Section: Selected Aspects Of Modelling Innovation Diffusionmentioning

confidence: 99%

Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles

Zsifkovits

Günther

2015

Cent Eur J Oper Res

View full text Add to dashboard Cite

show abstract

“…Their focus was on developing an inventory policy for a new product under the condition of diminishing demand when its substitute product enters into the market. Literature on innovation diffusion modeling and technological substitution is quite rich (Norton & Bass, 1987;Wilson & Norton, 1989;Speece & MacLachlan, 1995;Mahajan & Muller, 1996;Islam & Meade, 1997;Kim, Chang, & Shocker, 2000;Danaher, Hardie, & Putsis, 2001;Chanda & Bardhan, 2008;Hajiheydari & Zarei, 2013;Sääksjärvi & Lampinen, 2005). The above frameworks can be helpful to generate optimal inventory policies for the family of technological substitutable products.…”

Section: Background and Motivationmentioning

confidence: 99%

Optimal inventory policies for successive generations of a high technology product

Chanda

Aggarwal

2014

The Journal of High Technology Management Research

Self Cite

View full text Add to dashboard Cite

“…Many authors have suggested different mathematical forms for the skipping parameter (Danaher et al, [6], Chanda and Bardhan [9]); in this paper we have assumed that through out the sales horizon skipping takes place at the constant rate. The mathematical form can be given as follows:…”

Section: Situationmentioning

confidence: 99%

“…Technological progress in a particular field is a result of sequence of growth curves. When these families of S-shaped curves are taken together, they depict the progress of a particular technology field [9].…”

Section: Introductionmentioning

confidence: 99%

“…In this article, we propose a more general model that captures both diffusion and substitution process for each generational technology product. Chanda and Bardban [9] proposed a multigenerational diffusion and substitution model and tried to study the dynamics of innovation and imitation parameters. On analysis the model for several datasets, the authors observed that multiple-generation innovation; the coefficients of innovation and imitations follow a certain trend and had summarized the observations using number of hypothesis.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Innovation diffusion of successive generations of high technology products

Kapur¹,

Chanda²,

Tandon³

et al. 2010

2010 2nd International Conference on Reliability, Safety and Hazard - Risk-Based Technologies and Physics-of-Failure Methods (I

Self Cite

View full text Add to dashboard Cite

As most of the high-technology companies are trying to be more demand driven, technological innovation and diffusion have become important force in markets today. It critically affects the fortunes of consumers, firms, and nations. Despite research across many disciplines, many important areas still remain to be explored fully. Consumer adoption decision for multi-generation innovation is one such important research area in this field. High technology product comes in generations where a new innovation offers a significant improvement in performance or benefits over the previous generation. And, often two successive generations under the same product category compete in the market. Yet technology substitution has received little attention in the diffusion of innovation literature. Research for consumer durables has been dominated by studies of first purchase adoption which do not explicitly consider the presence of an existing technology. Only a handful of papers explicitly deal with the diffusion of technology substitution. In this work, we propose multigenerational diffusion model to study the marketing dynamics of Indian Television Market (both Black & White and Color Television). The model consider repeat-adoption-substitution diffusion framework.Comparisons with different existing multigenerational models are made. The results of this study could be advanced for forecasting new technologies of television product.

show abstract

Modelling innovation and imitation sales of products with multiple technological generations

Cited by 37 publications

References 43 publications

Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles

Simulating resistances in innovation diffusion over multiple generations: an agent-based approach for fuel-cell vehicles

Optimal inventory policies for successive generations of a high technology product

Innovation diffusion of successive generations of high technology products

Contact Info

Product

Resources

About