New Product Forecasting: An Applied ApproachM.E. Sharpe, 2006 - 157 pagini 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. |
Cuprins
| 3 | |
| 4 | |
| 5 | |
| 6 | |
| 7 | |
| 10 | |
Linking Techniques to Type of New Product | 15 |
Discussion Questions | 18 |
Quality Function Deployment | 77 |
The Kano Model | 82 |
Key Concepts | 83 |
Discussion Questions | 84 |
Time Series Techniques for New Product Forecasting | 85 |
LooksLike Analysis Analogous Forecasting | 86 |
Diffusion Modeling | 90 |
Composite Curve Approach | 95 |
New Product Development and New Product Forecasting Process and Structure | 19 |
The New Product Development Process | 20 |
Using Teams to Structure New Product Development | 21 |
The New Product Forecasting Process | 25 |
Assumptions Management | 32 |
SOP and New Product Forecasting | 33 |
Key Concepts | 34 |
Discussion Questions | 35 |
New Product Forecasting Techniques | 37 |
Judgmental New Product Forecasting Techniques Jury of Executive Opinion | 39 |
Scenario Analysis | 41 |
Delphi Method | 42 |
AssumptionsBased Modeling | 44 |
Using AssumptionsBased Models to Identify Critical Assumptions and Examine Risk | 54 |
Decision Trees | 57 |
Discussion Questions | 67 |
CustomerMarket Research Techniques for New Product Forecasting Concept Testing | 68 |
Product Use Testing | 70 |
Market Testing | 71 |
Conjoint Analysis | 72 |
Discussion Questions | 96 |
Regression Analysis for New Product Forecasting Correlation | 98 |
Regression Analyses | 99 |
Final Comments on Regression Analyses | 110 |
Discussion Questions | 111 |
Managerial Considerations for Applied New Product Forecasting | 113 |
Special Topics in New Product Forecasting Understanding the Launch Phenomenon | 115 |
The Launch Cycle | 119 |
Launch Control Protocol | 120 |
Launch Tracking and the Launch Scorecard | 122 |
Special New Product Forecasting Issues | 123 |
Discussion Questions | 128 |
New Product Forecasting Benchmarks Review of Literature on New Product Forecasting Practices | 129 |
New Product Forecasting Benchmarks | 131 |
Final Observations | 145 |
Implications for Your Companys New Product Forecasting Process | 147 |
Discussion Questions | 148 |
| 149 | |
| 153 | |
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Termeni și expresii frecvente
approach assumptions-based models ATAR model benchmarking calculated category entries concept testing conjoint analysis consumer firms correlation cost reductions critical assumptions curve customer/market research Decision Trees Delphi method dependent variable desirability scores diffusion models equation estimate example executive opinion expected Figure independent variable industrial firms inventory jury of executive Kano Model launch control protocol launch scorecard lead users line extensions logistic regression Looks-like analysis market share market testing Markov process model methodology multiple n/a n/a n/a new-to-the-world products Nonlinear Regression NPD stages option PDMA preference regression pretechnical evaluation prod product concept product development product fore Product Forecast Assumptions product forecasting process Product Forecasting Techniques product improvements product launch product sales product technology purchase Quality Function Deployment R-squared regression analyses regression analysis regression model relationship sales force composite sales potential scenario analysis strategy target market tion types uct forecasting unit sales forecast versus
Pasaje populare
Pagina 1 - The beginning of knowledge is the discovery of something we do not understand.