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MIT OpenCourseWare
http://ocw.mit.edu
15.912 Technology Strategy
Fall 2008
For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
S‐Curves
Professor Jason Davis
MIT Sloan School of Management
eInk Update (1)

•	 2000 initial public offering (IPO) in weak market creates cash flow problem
•	 Large signage runs into problems:
– Network problems getting information to signs
– Cost of network lines greater than cost of signs
•	 Strategy Shift to focus on PDAs and eBooks
– Partners with Phillips to jointly develop Matrix display
– Sony signs as 1st eBook customer, but product delayed
– …due to inconsistent technical performance.
– CEO Iuliano resigns in 2004.
•	 Intel Capital steps in, provides cash to complete Sony deal, but pushes R&D
towards color displays.
•	 Sony’s eBook released in 2005, but lacks exciting content…
eInk Update (2)

•	 Lexar now uses eInk in its
JumpDrive
•	 Sony’s Portable Reader System
relies on eInk technology
•	 Motorola uses a Matrix eInk
display for its low cost
Motofone
– great standby time

– outside viewable

…but none of these products is
hugely successful
Lexar JumpDrive®

Mercury

Sony®

Portable Reader System

PRS-500

Motorola®
Motofone
eInk blockbuster? Amazon Kindle

•	 Amazon commits to making much of
their book database available.
•	 Product also uses wireless richly:
–	 Reviews
–	 Email
–	 Discussion forums
•	 Amazon restricts eBooks on laptops
(piracy concern)…so far
•	 Running Linux for easy extension…
–	 Amazon’s convergence play?
–	 e.g., xBox & MSFT
•	 SOLD OUT!!!
Effective strategies answer three key

questions:

How will we
Capture value?
How will we
Deliver value?
How will we
Create value?
Value Creation: Yin & Yang of

Technology, Markets, and

Organizations

How will we
Create value?
How will we
Capture value?
How will we
Deliver value?
Effective strategies tackle 3 key questions:

• How will we create value?
– How will the technology evolve?
– How will the market change?
– How do we organize effectively?
• How will we capture value?
– How do we compete to gain sustainable competitive advantage?
– How should we compete if standards are important?
• How will we deliver value?
– How should we execute the strategy?
– How do we make strategic decisions and take decisive action?
Do all good things come to an end?

Technological exhaustion

Physical limit?
Performance
Performance is ultimately constrained
by physical limits
E.g.:
Sailing ships & the power of the wind
Copper wire & transmission capability
Semiconductors & the speed of the electron
Time
Evolution of Measurement-While-Drilling tools
S-Curve
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
0
1 2 3 4 5 6 7 8 9
Positive M
ud Pulse
Positive M
ud Pulse 2nd Generation
Continuous M
.P. - 1GNegative M
ud Pulse
Continuous M
.P. - 2G
Continuous M
.P. - BPSK
3G
Continuo Physical limit: signal attenuationus M
.P. - FSK
3G
Performance=DataTransmissionRate(bitpersecond)
R&D Effort (measured in Generations = +/- 3 years )
Shallow wells only
All well conditions
Dominant Design = Continuous
Mud Pulse Telemetry
0
10000
20000
30000
40000
50000
60000
1960 1965 1970 1975 1980 1985 1990 1995 2000
ModemSpeed,Bps
Time
Improvementsin Modem Speed
0
2
4
6
8
10
12
14
16
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
MinimumFeatureSize
Year
SemiconductorPerformance:MinimumLine Width over Time
Modeling the returns to effort vs. time

Performance
Performance may be a non linear
function of effort expended: in
mature industries more and more
effort may lead to less and less
progress, while progress in emerging
industries may be “surprisingly” fast
Effort
Issues in Trend Extrapolation

•	 Which parameter shall I predict?
•	 Do all good things come to an end?
•	 Exploring the difference between progress as
a result of the passage of time, and progress
as the result of returns to effort
•	 Predicted Limits are not necessary Real
Limits…
The Unexpectedly Long Old Age of

Optical Photolithography

Source: Henderson, 1995.
19600.1 1 100 1000 100010 1965 1970 1975
YearCumulative R&D effort, person years
1980 1985 1990
Minimumfeaturesize(microns)
Minimumfeaturesize(microns)
Image by MIT OpenCourseWare.
S‐Curves, Real and Imaginary

Source: Henderson, 1995.
1970
0
1
2
3
4
5
6
7
8
9
10
1975
Resolution(microns)
1980
Year
1985 1990 1995
Realized perf.
Pred. optical limit
Image by MIT OpenCourseWare.
Reflections on the S Curve

•	 Which unit of analysis?
• Technology? Product? Firm? Industry?
•	 Which dimension of performance on the y‐axis?
•	 Effort vs. time on the x‐axis?
•	 Can performance limits be predicted or only known after
the fact?
•	 How certain can you be of your location on the S‐curve?

–	 Some proxies do exist:
• Monitoring returns to effort over time
• Recognizing Discontinuities and moves to new S‐curves
•	 S‐curves are a heuristic for generating strategic
discussion about technological limits and growth
Implications of the S‐curve

•	 Technological performance is a function of effort,
NOT time
•	 R&D is often less productive when focused on
either early prototypes or mature technologies
•	 Managing the transitions between S‐curves is a
critical strategic task: sticking with an old S‐curve
can be disastrous
Why S‐curves really matter:

Transitions often challenge existing

organizations severely

Alignment Equipment
Step & Step &
Firm Contact Proximity Scanners
Repeat I Repeat II
Cobilt 44 < 1
Kasper 17 8 7
Canon 67 21 9
Perkin-Elmer 78 10 < 1
GCA 55 12
Nikon 70
Total 61 75 99+ 81 82+

Source: Henderson & Clark, 1990.
Share of deflated cumulative sales (%) 1962-1986, by generation, for the
leading optical photolithographic alignment equipment manufacturers.
Why S‐curves really matter:

Transitions often challenge existing

organizations severely

In their days, these firms were on the cover of FORTUNE. They were making
more money than one can think is possible. And where are they now?
So to some degree, technology strategy is going to be about maintaining
balance between what you do well now, and what you might do well in the
future.
Maybe sometimes it makes sense not to make the move. In this industry, it
turns out not to have been the case. These firms thought they understood
what the next generation was going to be like. They invested quite heavily,
and they did not succeed. We are going to talk about the role of blindness,
arrogance, stupidity, changing workforce, incentives. The difference
between announcing to the world “of course, we’re big on step‐aligners,”
and actually delivering on that promise is enormous. We will study why this
“thinking‐doing gap” is often present later in the course.
Let me stress something. It may seem that this course is all going to be
about big firms that cannot act like small ones, but you run into analogous
problems with small firms trying to grow. They are very good in the era of
ferment, but during take‐off, when there is a need to reconfigure the firm,
a lot of new ventures do not survive. We will be talking about that problem
as well.
For Next Session:

•	 How does Apple create Value?
–	 What is your recommended next step for the iPod/iTunes
business?
•	 Think about S‐curves underlying their business
•	 Think about their different markets
•	 First “Two pager” due Session 3
–	 Find a couple of teammates, choose an industry, sketch out the
relevant S curves
–	 Use the forum to find team mates if you haven’t already
–	 Hard copy to your TA…

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Lec 02

  • 1. MIT OpenCourseWare http://ocw.mit.edu 15.912 Technology Strategy Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
  • 2. S‐Curves Professor Jason Davis MIT Sloan School of Management
  • 3. eInk Update (1) • 2000 initial public offering (IPO) in weak market creates cash flow problem • Large signage runs into problems: – Network problems getting information to signs – Cost of network lines greater than cost of signs • Strategy Shift to focus on PDAs and eBooks – Partners with Phillips to jointly develop Matrix display – Sony signs as 1st eBook customer, but product delayed – …due to inconsistent technical performance. – CEO Iuliano resigns in 2004. • Intel Capital steps in, provides cash to complete Sony deal, but pushes R&D towards color displays. • Sony’s eBook released in 2005, but lacks exciting content…
  • 4. eInk Update (2) • Lexar now uses eInk in its JumpDrive • Sony’s Portable Reader System relies on eInk technology • Motorola uses a Matrix eInk display for its low cost Motofone – great standby time – outside viewable …but none of these products is hugely successful Lexar JumpDrive® Mercury Sony® Portable Reader System PRS-500 Motorola® Motofone
  • 5. eInk blockbuster? Amazon Kindle • Amazon commits to making much of their book database available. • Product also uses wireless richly: – Reviews – Email – Discussion forums • Amazon restricts eBooks on laptops (piracy concern)…so far • Running Linux for easy extension… – Amazon’s convergence play? – e.g., xBox & MSFT • SOLD OUT!!!
  • 6. Effective strategies answer three key questions: How will we Capture value? How will we Deliver value? How will we Create value?
  • 7. Value Creation: Yin & Yang of Technology, Markets, and Organizations How will we Create value? How will we Capture value? How will we Deliver value?
  • 8. Effective strategies tackle 3 key questions: • How will we create value? – How will the technology evolve? – How will the market change? – How do we organize effectively? • How will we capture value? – How do we compete to gain sustainable competitive advantage? – How should we compete if standards are important? • How will we deliver value? – How should we execute the strategy? – How do we make strategic decisions and take decisive action?
  • 9. Do all good things come to an end? Technological exhaustion Physical limit? Performance Performance is ultimately constrained by physical limits E.g.: Sailing ships & the power of the wind Copper wire & transmission capability Semiconductors & the speed of the electron Time
  • 10. Evolution of Measurement-While-Drilling tools S-Curve 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 0 1 2 3 4 5 6 7 8 9 Positive M ud Pulse Positive M ud Pulse 2nd Generation Continuous M .P. - 1GNegative M ud Pulse Continuous M .P. - 2G Continuous M .P. - BPSK 3G Continuo Physical limit: signal attenuationus M .P. - FSK 3G Performance=DataTransmissionRate(bitpersecond) R&D Effort (measured in Generations = +/- 3 years ) Shallow wells only All well conditions Dominant Design = Continuous Mud Pulse Telemetry
  • 11. 0 10000 20000 30000 40000 50000 60000 1960 1965 1970 1975 1980 1985 1990 1995 2000 ModemSpeed,Bps Time Improvementsin Modem Speed
  • 12. 0 2 4 6 8 10 12 14 16 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 MinimumFeatureSize Year SemiconductorPerformance:MinimumLine Width over Time
  • 13. Modeling the returns to effort vs. time Performance Performance may be a non linear function of effort expended: in mature industries more and more effort may lead to less and less progress, while progress in emerging industries may be “surprisingly” fast Effort
  • 14. Issues in Trend Extrapolation • Which parameter shall I predict? • Do all good things come to an end? • Exploring the difference between progress as a result of the passage of time, and progress as the result of returns to effort • Predicted Limits are not necessary Real Limits…
  • 15. The Unexpectedly Long Old Age of Optical Photolithography Source: Henderson, 1995. 19600.1 1 100 1000 100010 1965 1970 1975 YearCumulative R&D effort, person years 1980 1985 1990 Minimumfeaturesize(microns) Minimumfeaturesize(microns) Image by MIT OpenCourseWare.
  • 16. S‐Curves, Real and Imaginary Source: Henderson, 1995. 1970 0 1 2 3 4 5 6 7 8 9 10 1975 Resolution(microns) 1980 Year 1985 1990 1995 Realized perf. Pred. optical limit Image by MIT OpenCourseWare.
  • 17. Reflections on the S Curve • Which unit of analysis? • Technology? Product? Firm? Industry? • Which dimension of performance on the y‐axis? • Effort vs. time on the x‐axis? • Can performance limits be predicted or only known after the fact? • How certain can you be of your location on the S‐curve? – Some proxies do exist: • Monitoring returns to effort over time • Recognizing Discontinuities and moves to new S‐curves • S‐curves are a heuristic for generating strategic discussion about technological limits and growth
  • 18. Implications of the S‐curve • Technological performance is a function of effort, NOT time • R&D is often less productive when focused on either early prototypes or mature technologies • Managing the transitions between S‐curves is a critical strategic task: sticking with an old S‐curve can be disastrous
  • 19. Why S‐curves really matter: Transitions often challenge existing organizations severely Alignment Equipment Step & Step & Firm Contact Proximity Scanners Repeat I Repeat II Cobilt 44 < 1 Kasper 17 8 7 Canon 67 21 9 Perkin-Elmer 78 10 < 1 GCA 55 12 Nikon 70 Total 61 75 99+ 81 82+ Source: Henderson & Clark, 1990. Share of deflated cumulative sales (%) 1962-1986, by generation, for the leading optical photolithographic alignment equipment manufacturers.
  • 20. Why S‐curves really matter: Transitions often challenge existing organizations severely In their days, these firms were on the cover of FORTUNE. They were making more money than one can think is possible. And where are they now? So to some degree, technology strategy is going to be about maintaining balance between what you do well now, and what you might do well in the future. Maybe sometimes it makes sense not to make the move. In this industry, it turns out not to have been the case. These firms thought they understood what the next generation was going to be like. They invested quite heavily, and they did not succeed. We are going to talk about the role of blindness, arrogance, stupidity, changing workforce, incentives. The difference between announcing to the world “of course, we’re big on step‐aligners,” and actually delivering on that promise is enormous. We will study why this “thinking‐doing gap” is often present later in the course. Let me stress something. It may seem that this course is all going to be about big firms that cannot act like small ones, but you run into analogous problems with small firms trying to grow. They are very good in the era of ferment, but during take‐off, when there is a need to reconfigure the firm, a lot of new ventures do not survive. We will be talking about that problem as well.
  • 21. For Next Session: • How does Apple create Value? – What is your recommended next step for the iPod/iTunes business? • Think about S‐curves underlying their business • Think about their different markets • First “Two pager” due Session 3 – Find a couple of teammates, choose an industry, sketch out the relevant S curves – Use the forum to find team mates if you haven’t already – Hard copy to your TA…