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MD 815 Session #3 Technology Forecasting 1. Introduction 2. Quantitative forecasting techniques 3. Predicting Diffusion Case
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Introduction l Why forecasting is crucial –Will there be a market for your product? –How fast will it mature? –What will be happening to competing and complementary technologies? –What hazards lie on the horizon for your established products?
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Why are we so bad at forecasting? "This ‘telephone' has too many shortcomings to be seriously considered as a means of communication." ---Western Union memo, 1876 "While theoretically and technically television may be feasible, commercially and financially it is an impossibility.” ---Lee DeForest, inventor "I think there is a world market for maybe five computers. ---Thomas Watson, chairman of IBM, 1943 "There is no reason anyone would want a computer in their home." ---Ken Olson, president of DEC 1977 "640K ought to be enough for anybody”. ---Bill Gates, 1981
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The key is to forecast wisely... l Understanding the circumstances under which forecasting is most feasible l Knowing when you most need it/how much you should spend –Fast changing environments –Long planning horizons –Large stakes involved –Aggressive (rather than defensive) R&D strategies l Matching technique to need
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Example: FedEx ZapMail l About ZapMail –Two hour high quality facsimile service –$25 for a 30 page fax –Conceived in 1979; delivered in 1984 –Cost: $400 million l Was this a good idea? –What tools could have been used to decide?
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Example: FedEx ZapMail l About ZapMail –Two hour high quality facsimile service –$25 for a 30 page fax –Conceived in 1979; delivered in 1984 –Cost: $400 million l Was this a good idea? –What tools could have been used to decide? l Lesson: –Every major business decision contains an implicit forecast –Better make sure yours is not way, way off
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The Technology Improvement S-Curve
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Technological Discontinuities
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Moore’s Law
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The Diffusion S-Curve
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Example: Networked PDA adoption in 1994 l Problem: –Large technology service firm needs to know whether to invest heavily in infrastructure for wireless PDAs –How can we estimate potential size of the market?
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Example: Networked PDA adoption in 1994 l Problem: –Large technology service firm needs to know whether to invest heavily in infrastructure for wireless PDAs –How can we estimate potential size of the market? l Use data on 8 comparables to develop a range of possibilities –Cellular telephones –Pagers –Facsimile machines –Modems –Desktop PCs –Laptop PCs –On-line services –ISDN (narrow band)
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Were Wireless PDAs circa 1994 more like Cellular or ISDN?
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Rogers’ Innovation Attributes l Relative advantage l Compatibility l Complexity l Trialability l Observability
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Mapping to Rogers Attributes l Relative Advantage –High Fixed Costs ($1000+) –Restricted Market (Mobile Professional) –Low Penetration of Companion Technology –Direct Competition From Entrenched Technologies (RA) l Complexity –High Knowledge Barriers l ?? –Important externalities in Use (??) –Lack of Infrastructure Support
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