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Guidolin Mariangela. Innovation Diffusion Models: Theory and Practice

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Guidolin Mariangela. Innovation Diffusion Models: Theory and Practice
John Wiley & Sons, 2024. — 227 p. — ISBN 9781119756200.
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 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.
Introduction
Theory of Innovation Diffusion
Innovation Diffusion as an Empirical Generalization: The Bass Model
Innovation Diffusion with Structured Shocks: The Generalized Bass Model
Innovation Diffusion with a Dynamic Market Potential: The GGM
Dealing with Autocorrelation and Seasonality in Innovation Diffusion
Innovation Diffusion in Competition
Estimation Methods for Innovation Diffusion Models
Case Studies
Modeling a Diffusion Process
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