New Product Forecasting

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A01=Kenneth B. Kahn
Author_Kenneth B. Kahn
Average Desirability
Bass Model
category
Category=KJMV6
Conjoint Analysis
consumer demand estimation
Desirability Scores
Dummy Variable
entries
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
estimate
extensions
Forecast Accuracy
forecasting methods for product innovation
Kano Model
Launch Profiles
Li Ne
line
managerial forecasting decisions
market
market research analysis
Markov Process Model
Multiple Linear Regression
Negative Relationship
NPD Process
NPD Project
NPD Stage
Pe Rc
potential
Preference Regression
Product Forecasting
product launch analytics
QFD
QFD Methodology
Regression Model
regression modeling techniques
research
sales
Sales Force Composite Method
sales planning strategies
Sales Potential Estimate
Te Ch
technique
Van Den Bulte

Product details

  • ISBN 9780765616104
  • Weight: 249g
  • Dimensions: 152 x 229mm
  • Publication Date: 15 Jul 2006
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Concise and jargon free, this is a one-step primer on the tools and techniques of forecasting new product development. Equally useful for students and professionals, the book is generously illustrated, and features numerous current real-world industry cases and examples. Part I covers the basic foundations and processes of new product forecasting, and links forecasting to the broader processes of new product development and sales and operations planning. Part II includes detailed, step-by-step techniques of new product forecasting, from judgmental techniques to regression analysis. Each chapter in this section begins with the most basic techniques, then progresses to more advanced levels. Part III addresses managerial considerations of new product forecasting, including postlaunch issues such as cannibalization and supercession. The final chapter presents an important set of industry best practices and benchmarks.
Kenneth B. Kahn (BIE, Georgia Institute of Technology; MSIE, Virginia Polytechnic Institute and State University; Ph.D. in Marketing, Virginia Polytechnic Institute and State University) is a tenured Associate Professor of Marketing and a College of Business Administration Reagan Scholar in the Department of Marketing and Logistics at the University of Tennessee. His teaching and research interests concern product development, product management, and forecasting of existing and new products. He has published in a variety of journals, including the Journal of Product Innovation Management, Journal of Business Research, Journal of Forecasting, Journal of Business Forecasting, Marketing Management, and R&D Management. He is the author of the book Product Planning Essentials and editor of the PDMA Handbook on New Product Development, 2nd edition.Dr. Kahn is cofounding Director of the University of Tennessee’s Sales Forecasting Management Forum, which specializes in education and research involving market analysis and sales forecasting. He is also the current Vice President of Publications for the Product Development and Management Association (www.pdma.org). Prior to joining the faculty at the University of Tennessee, Dr. Kahn was Director of Georgia Tech’s Marketing Analysis Laboratory and cofounder of Georgia Tech’s Collaborative Product Development Laboratory, both of which conducted corporate-sponsored research.Dr. Kahn’s industrial experience includes serving as an industrial engineer and project engineer for the Weyerhaeuser Company and a manufacturing engineer for Respironics, Inc. He has consulted with and facilitated benchmarking sessions with numerous companies, including 3M, Acco Brands, Amgen, Biolab, Borden, Cargill, Cheps USA, Ciba Specialty Chemicals, Coca-Cola, Corning, Enterasys Networks, Gillette, Hanes/L’eggs, Hewlett-Packard, Lifescan, Mary Kay Cosmetics, McNeil Consumer Healthcare, Miller Brewing Company, Moen, Motorola, Mrs. Smith’s Bakeries, Nabisco, Pharmavite, Schering-Plough, SmithKline Beecham, Springs Industries, Symbol Technologies, Tropicana, Unilever, and Xerox.

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