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New Product Diffusion Models

New Product Diffusion Models

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Author by : Vijay Mahajan
Languange Used : en
Release Date : 2000-09-30
Publisher by : Springer Science & Business Media

ISBN : 0792377516

Product sales, especially for new products, are influenced by many factors. These factors are both internal and external to the selling organization, and are both controllable and uncontrollable. Due to the enormous complexity of such factors, it is not surprising that product failure rates are relatively high. Indeed, new product failure rates have variously been reported as between 40 and 90 percent. Despite this multitude of factors, marketing researchers have not been deterred from developing and designing techniques to predict or explain the levels of new product sales over time. The proliferation of the internet, the necessity or developing a road map to plan the launch and exit times of various generations of a product, and the shortening of product life cycles are challenging firms to investigate market penetration, or innovation diffusion, models. These models not only provide information on new product sales over time but also provide insight on the speed with which a new product is being accepted by various buying groups, such as those identified as innovators, early adopters, early majority, late majority, and laggards. New Product Diffusion Models aims to distill, synthesize, and integrate the best thinking that is currently available on the theory and practice of new product diffusion models. This state-of-the-art assessment includes contributions by individuals who have been at the forefront of developing and applying these models in industry. The book's twelve chapters are written by a combined total of thirty-two experts who together represent twenty-five different universities and other organizations in Australia, Europe, Hong Kong, Israel, and the United States. The book will be useful for researchers and students in marketing and technological forecasting, as well as those in other allied disciplines who study relevant aspects of innovation diffusion. Practitioners in high-tech and consumer durable industries should also gain new insights from New Product Diffusion Models. The book is divided into five parts: I. Overview; II. Strategic, Global, and Digital Environments for Diffusion Analysis; III. Diffusion Models; IV. Estimation and V. Applications and Software. The final section includes a PC-based software program developed by Gary L. Lilien and Arvind Rangaswamy (1998) to implement the Bass diffusion model. A case on high-definition television is included to illustrate the various features of the software. A free, 15-day trial access period for the updated software can be downloaded from http://www.mktgeng.com/diffusionbook. Among the book's many highlights are chapters addressing the implications posed by the internet, globalization, and production policies upon diffusion of new products and technologies in the population....



New Product Diffusion Models

New Product Diffusion Models

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Author by : Vijay Mahajan
Languange Used : en
Release Date : 1999
Publisher by :

ISBN : OCLC:637802681

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An Examination Of New Product Diffusion Models

An Examination Of New Product Diffusion Models

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Author by : Jean-Pierre van de Capelle
Languange Used : en
Release Date : 2004
Publisher by :

ISBN : OCLC:767875160

This paper is based on the book New Product Diffusion Models (Mahajan, Muller & Wind, 2000), and is organized as follows: The summary presents a short overview of the book, which addresses many issues of new product diffusion as well as some models that describe such diffusion processes. Among them are the basic Bass diffusion and multi-state flow models. The Interpretations section provides a in-depth discussion illustrating the author?s view of multi-state flow models and their relation to new product diffusion models. This section goes beyond the material covered in the book and is intended to provide the reader with a better understanding of the Bass model and its underlying assumptions. This section also includes a discussion on parameter extraction techniques, which is continued in subsequent sections. The application of the Bass diffusion model for the Xerox DocuTech family of products is discussed. The application of the Bass diffusion model in the digital color press market is also discussed. The outcome of this investigation shows that the Bass model requires from 6 to 10 years of sales to be a valid sales model, and that the model functions better if the market size is known. The examples show however, that once a few years of data are available and the market size is known, the model can predict sales quite accurately for a long time into the future, with very good precision....



A Comparative Study On New Product Diffusion Models A Scanner Data Based Study

A Comparative Study On New Product Diffusion Models A Scanner Data Based Study

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Author by : Andreas Frank Mayer
Languange Used : en
Release Date : 1993
Publisher by :

ISBN : OCLC:290428604

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New Product Diffusion Models With Stochastic Parameters

New Product Diffusion Models With Stochastic Parameters

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Author by :
Languange Used : en
Release Date : 1987
Publisher by :

ISBN : OCLC:935808761

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New Product Diffusion Models With Stochastic Parameters

New Product Diffusion Models With Stochastic Parameters

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Author by : Yongchang Chen
Languange Used : en
Release Date : 1987
Publisher by :

ISBN : OCLC:244938383

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A Stochastic Formulation Of The Bass Model Of New Product Diffusion

A Stochastic Formulation Of The Bass Model Of New Product Diffusion

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Author by : Shun Chen Niu
Languange Used : en
Release Date : 2002
Publisher by :

ISBN : OCLC:1376902181

In the past several decades, new-product diffusion models has been an active area of research in marketing (see, e.g., Mahajan, Muller, and Wind 2000, and Mahajan and Wind 1986). Such models are useful because they can provide important insights into the timing of initial purchase of new products by consumers. Much of the work in this area has been spawned by a seminal paper of Bass (1969), in which it was postulated that the trajectory of cumulative adoptions of a new product follows a deterministic function whose instantaneous growth rate depends on two parameters, one of which captures a consumer's intrinsic tendency to purchase, independent of the number of previous adopters, and the other captures a positive force of influence on a consumer by previous adopters. While Bass's model, or the Bass Model (BM), yields an S-shaped cumulative-adoptions curve that has proven to provide excellent empirical fit for a wide range of new-product-adoptions data sets (especially for consumer durables), there also has been a common belief (see, e.g., Eliashberg and Chatterjee 1986) that it would be of interest to have an appropriate stochastic version of his model. The purpose of this paper is to formulate and study a stochastic counterpart of the BM. Inspired by a very early paper of Taga and Isii (1959), we formulate the trajectory of cumulative number of adoptions as a pure birth process with a set of state-dependent birth rates that are judiciously chosen to closely parallel the roles played by the two parameters in the deterministic BM. We demonstrate that with our choice of birth rates, the resulting pure birth process exhibits characteristics that resemble those in the BM. In particular, we show that the fraction of individuals who have adopted the product by time t in our formulation agrees with (converges in probability to) the corresponding deterministic fraction in a BM with the same pair of parameters, when the total number of consumers in the target population approaches infinity. Our formulation, therefore, supports and expands the BM by having explicit micro-level stochastic interactions amongst individual adopters....



Incorporating Consumer Resistance To Innovation In A New Product Diffusion Model

Incorporating Consumer Resistance To Innovation In A New Product Diffusion Model

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Author by : Ai-Hwa Chang
Languange Used : en
Release Date : 1992
Publisher by :

ISBN : OCLC:30000573

This dissertation proposes a new diffusion model for an innovation in durable goods markets and compares the model with four existing models. The distinctive feature of the new diffusion model is an explicit consideration of the competition between an existing product and a new product due to the comparative advantage of the new product and also due to the closer introduction times of the existing product and the new product. Adopting an individual-level modeling approaching, this diffusion model incorporates the phenomena of: interaction of evaluations for successive generation innovations, risk-adjusted utility of the new product, increased new product utility over time, and the Bayesian process of uncertainty reduction. The proposed model has been compared with existing models using both empirical data from the color TV market, and computer-simulated market data. The comparison criteria are (1) goodness of fit in model estimation samples, and (2) forecast accuracy in model validation samples. The results of empirical comparison show that the proposed model performs better than the compared models on both criteria. The results of computer simulation comparison show that the proposed model and Lattin and Roberts' (1989) RAU model are the two best models with the latter being better than the former on goodness-of-fit in seven of twenty-eight market types, and the former being better than the latter on the accuracy of one-step-ahead sales forecasting in twenty-six markets. In addition, in markets characterized by strong consumer resistance, the proposed model is superior to the RAU model on both performance criteria. The proposed model is also superior to the Bass model (1969), a first-order-autoregressive model, and the Lattin and Roberts' (1989) model with price consideration in all the markets examined. Besides, the superiority of the proposed model to these three models increases more often in markets in which diffusion-deterring factors are present. Therefore, the proposed model has demonstrated its superior capabilities in modeling the diffusion of a new product in an environment characterized by stronger consumer resistance. Managerial implications of the proposed model in new product prelaunch forecasting and post-introduction adoption diagnosis are also discussed....



Innovation Diffusion Models

Innovation Diffusion Models

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Author by : Mariangela Guidolin
Languange Used : en
Release Date : 2024-01-03
Publisher by : John Wiley & Sons

ISBN : 9781119756200

Innovation Diffusion Models Understand innovation diffusion models and their role in business success Innovation diffusion models are statistical models that predict the medium- and long-term sales performance of new products on a market. They account for numerous factors that contribute to the life cycle of a new product and are subject to continuous reassessment as markets transform and the business world becomes more complex. In a modern market environment where product life cycles are becoming ever shorter, the latest innovation diffusion models are essential for businesses looking to perfect their decision-making processes. Innovation Diffusion Models: Theory and Practice provides a comprehensive and up-to-date guide to these models and their potential to impact product development. It focuses on the latest product diffusion models, which combine time series analysis with nonlinear regression techniques to create increasingly refined predictions. Its combination of mathematical theory and business practice makes it an indispensable tool across many sectors of industry and commerce. Innovation Diffusion Models readers will also find: Real-world examples demonstrating the kinds of data sets generated by new product growth models and their potential applications Discussion of the factors underlying the decision to select a given growth model for a particular product Clear, detailed explanation of each model’s explanatory ability Innovation Diffusion Models is an essential volume for practitioners in any field of industry or commerce, as well as for graduate students and researchers in business and finance....



A Comparative Study On New Product Diffusion Models

A Comparative Study On New Product Diffusion Models

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Author by : Andreas F. Mayer
Languange Used : en
Release Date : 1997
Publisher by :

ISBN : OCLC:851220322

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