Models for Innovation Diffusion / Edition 1

Models for Innovation Diffusion / Edition 1

ISBN-10:
0803921365
ISBN-13:
9780803921368
Pub. Date:
05/01/1985
Publisher:
SAGE Publications
ISBN-10:
0803921365
ISBN-13:
9780803921368
Pub. Date:
05/01/1985
Publisher:
SAGE Publications
Models for Innovation Diffusion / Edition 1

Models for Innovation Diffusion / Edition 1

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Overview

Mahajan and Peterson have provided an introduction to diffusion models that bridges the disciplines and sets out the basic findings in a clear and consistent way. Their book is a lucid, state-of-the-art description of the powerful tools for investigating the temporal diffusion of any innovation. The approach they use is abstract and general, but the inclusion of a number of helpful examples makes it accessible to a wider range of readers.

Product Details

ISBN-13: 9780803921368
Publisher: SAGE Publications
Publication date: 05/01/1985
Series: Quantitative Applications in the Social Sciences , #48
Edition description: New Edition
Pages: 88
Product dimensions: 5.50(w) x 8.50(h) x 0.21(d)

About the Author

Vijay Mahajan holds the John P. Harbin Centennial Chair in Business at the Mc Combs School of Business, University of Texas at Austin. He has received numerous lifetime achievement awards including the American Marketing Association (AMA) Charles Coolidge Parlin Award for vision¬ary leadership in scientific marketing. The AMA also instituted the Vijay Mahajan Award in 2000 for career contributions to marketing strategy. In 2006, he received the Distinguished Alumnus Award from the Indian Institute of Technology (Kanpur) for his contributions to management research. He served as the dean of the Indian School of Business in Hyderabad from 2002 to 2004. Mahajan is the author of twelve books including Africa Rising, The 86% Solution, and The Arab World Unbound.

The Research Integrity Officer (RIO) at The University of Texas at Austin is Dr. Robert A. Peterson, associate vice president for research.

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Table of Contents

Basic Concepts
The Fundamental Diffusion Model
Flexible Diffusion Models
Extensions and Refinements
Illustrative Applications
Status and Outlook
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