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Technology Forecast
A Customer Validation Tool
for Emerging Technologies |
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Technological Forecasting tools can be used to decide if the market is really ready for an innovative new product (technology). The tools can be used to see how close an existing technology may be to the end of its life, identify competing new technologies still in their infancy, provide insights into possible adoption rates of the new technology (forecast sales), and for many other purposes. This page identifies a few sources that can be used to learn more about technology forecasting tools and processes.
Technology Forecasting is one of several ways of "customer validation"- determining if customers will really buy an innovative new product or not. Prospective customer identification, interviews, prototypes, field testing, focus groups, test marketing, internet polls and many other tools can be used in conjunction with Technology Forecasting to gain confidence in the market. Technology Forecasting should not be used alone to "prove the market", but when used in conjunction with other tools, a greater understanding of the market can be realized. Technological Forecasting is just another blade of the market research pocket knife. The more blades you use, the higher your probability of reaching a correct decision.
The journal, Technological Forecasting and Social Change, covers the basic techniques used to forecast the evolution of technologies and includes studies on hundreds of technologies. Often something in the same industry as your product can be identified. Studies in the same industry are often very helpful.
Although this page focuses on Technology Forecasts, some allied fields of study can also be very relevant when trying to develop a technology forecast. We have included some references in those areas as well.
Technology Forecasting
The resources below are only a very partial list of the materials available, however enough of them are available online or in major libraries to get most people "up and running" and gaining a basic understanding of Technology Forecasting.
Technology Forecast Journals and Papers
Technology Forecasting Books
The first two books listed below are a bit old, but have become the bible of Technological Forecasting. Call numbers are provided for the Oklahoma State University Library (OSU) and the University of Oklahoma Library (OU).
- Technological Forecasting for Industry and Government: Methods and Applications. Edited by James R. Bright. 1968. This book is the proceedings of a 1967 conference. OSU# 658.T255
- A Guide to Practical Technological Forecasting. Edited by James E. Bright and Milton E.F. Schoeman. This is a later companion volume to the book above. OSU# 658.401 G696
- Technological Substitution: Forecasting Techniques and Application. Edited by Harold A. Linstone and Devendra Sahl. Published by Elsevier. 1976. A collection of papers, including several from Technological Forecasting and Social Change. OSU# 658.401 T2556
This book includes the paper below:
- The Market Dynamics of Technological Substitutions.
Technological Forecasting and Social Change. Vol.6 Pgs. 41-63. (1974).
- Forecasting Technological Innovation. Edited by B. Henry. (an excellent European book). OU# T173.8.F65 1991
- Future Scope. By Joe Cappo. 1990. Covers economic forecasting, social predictions, U.S. conditions. OSU# 330.973 C249F
- Technological Forecasting for Decision Making. 2nd Edition. By Martino. OU# T 174 .M38 1983
- Patterns of Technological Innovation. By Sahal. OU# T 173.8 .S24
- Technological Forecasting. By Arnfield. OU# T 174.E9 1968aa
- Responding to Substitution Threats: A Framework for Assessment.
Journal of Engineering and Technology Management. Vol.7 No.1. Pg. 17. (1990).
- Alliances, External Technology Acquisition and Discontinuous Technological Change.
Journal of Product Innovation Management. Vol.14. Pgs. 102-116. (1997).

TRIZ as a Technology Forecast Tool
TRIZ is a Russian technique used to improve the efficiency of innovation. Thousands of patents were examined and their basic principles were categorized. The process suggests solutions to design problems. As TRIZ itself evolved, it is now also used to forecast the evolution of new technologies.
TRIZ can be especially helpful in identifying the logical order of steps / evolutions a product may go through. Often, inventors are trying to promote something a few too many steps into the future. Those ideas may well come into service some day, but intermediate steps may be more profitable at this time. The logical progression established by TRIZ researchers focusing on Technology Forecasting can be used by companies trying to sort through several possible alternatives for future research, by helping them identify the most logical successors to current technologies used in their field. For example, MHD (Magnto Hydrodyanmics) may well be the choice for marine propulsion at some time in the future, but several intermediate steps are likely to be taken before the market steps to MHD.
The problem solving approach of TRIZ, can also be used to suggest design improvements in your product, leading to even greater success in the marketplace.

Initial Consumers
Understanding the initial consumers (or businesses in the case of industrial products), who they are, and how fast they might adopt the new technology covers several disciplines. Diffusion, Demand, Cannibalism of existing product lines, Price Elasticity and Psychographics are a few of the areas to be considered. When used along with Tech Forecasts, a greater understanding of how the product may be received by the market can be gained. References we have found useful in the past include:
- Diffusion
- A Diffusion Theory Model of Adoption and Substitution for Successive Generations of High Technology Products.
By John Norton and Frank Bass. Management Science. Vol.33 No.9. Sept. 1987.
- Growth of Hi-Technology Markets: A Guided Tour Through the Product Life Cycle by Eitan Muller.
This discussion also provides links to several technical papers.
- How to Use Diffusion Models in New Product Forecasting.
Journal of Business Forecasting Methods and Systems. Summer 1996. Pgs. 6-9.
- Life-cycle approach to new product forecasting.
Journal of Business Forecasting Methods and Systems. Summer 1995. Pg. 3.
- Targeting a new product forecast.
Marketing News. Nov. 24, 1997. Pg.8.
- Marketing. Evans and Berman (a college textbook).
1987. Pg. 280.
- Consumer Behavior. 2nd Edition. John C. Mowen (a college textbook).
1990. Pgs. 478-480.
- The Tipping Point. by Malcom Gladwell. 2000.
This book does a great job showing how some social epidemics reach the "tipping point". Early participants and those influencing the participatory decisions of others are sometimes categorized as: Innovators (they grab onto early technologies), Salesmen (good at selling it to those they come in contact with), Connectors (people connected to lots of people) and Mavens (someone recognized as an elite expert in the field, means connoisseur in Yiddish). It is a great book on diffusion.
- Forecasting Demand for a New Product
- Market forecasting for high-tech vs. low-tech industrial products.
Engineering Management Journal. Vol.10. No.1. Pgs. 15-18. (1998).
- Estimating the Sales Potential of a New Heating System An "Inverted" Lancaster Approach.
International Journal of Research in Marketing. Vol.5. No.4. Pg. 289. (1988).
- Factors affecting new product forecasting accuracy in new firms
Journal of Product Innovation Management. Vol.10. No.1. Pg.35. (1993).
- Estimating Sales Volume Potential for New Innovative Products with Case Histories.
Marketing and Research Today. Vol.14. No.4. Pg.S25. (1986).
- Cannibalism
- Product Replacement: Strategies for Simultaneous Product Deletion and Launch.
Journal of Product Innovation Management. Vol.11. Pgs. 433-450. (1994).
Manufacturers trying to replace a current product line with a new technology may find this article helpful.
- Strategies for Product Cannibalism.
Strategic Management Journal. Vol.9. Special Issue. Pg.9. (1988).
- Cannibalism in Multibrand Firms.
Journal of Consumer Marketing. Vol.3. No.2. Pg.69. (1986).
- Funnel Chart
- Recreational Activity Selection Funnel Chart. Gary Polson. 1994.
This chart shows the process consumers go through selecting recreational activities for long term participation. The same basic concepts applies to many consumer choices.
- Price Elasticity
- Marketing. Evans and Berman (a college textbook).
1987. Pgs. 510-511.
- Miscellaneous
- Encourage the Wallaces of this World.
Research Technology Management. May-June 1998.
This article points out some attempts at replacing existing technologies actually take on much greater potential. The transistor was originally thought of as a poor replacement for a vacuum tube because it was small and could only switch low power levels. Wallace said the characteristics making it a poor vacuum tube would actually be an advantage for a logic switch (small in size so it could be densely packed).
- Simmons.
Simmons Unified National Consumer Study and Simmons Study of Media and Markets (no longer offered in print form) provide extensive data on product use and consumer demographics. The studies are available at many major libraries. This data can be used to "profile" owners of similar products. Sometimes it can be used to identify current user segments that might be especially easy to attract to the new technology/product.

Technology Readiness Level
Sometimes we get a bit ahead of our selves in taking over the market mentally before our product really works, a quick look at the stages of proving a new technology might be useful.
Technology Readiness Level see Table 1 TRL Descriptions.

Terms, Methods and Tools
A study of Technological Forecasting will encounter topics like:
- Technology Substitution - how fast one technology replaces another
- Adoption rate
- Schumpter innovation cycle - Joseph Schumpeter suggested innovations come in cycles / waves / swarms (often several at a time)
- Dephi Technique - a method of reaching a consensus among a group of experts about when a new technology might come to the market
- Diffusion - how a product or technology diffuses through the market place
- Technology life cycle
- Trend Extrapolation, Envelope Forecasting, Trend Correlation, Growth and Historical Analogies
- Fisher Pry Model, Blackman Model
- Disruptive Technologies - new technologies that disrupt the old way of doing things (and often disrupt long established companies)
- Technology Roadmaps (excellent site by Strategis, Canada's census bureau.
- VTRM - Virtual Technology Road Map
- Innovator, Salesman, Connector, Maven (types of people active in attracting users to new technologies)

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