organizational rq
DESCRIPTION
by Anne Marie Knott of Washington University in St. LouisTRANSCRIPT
Organizational RQ
Anne Marie KnottProfessor of Strategy, Washington University
Director, Berkeley Research Group_______________________________________________
April 17, 2012SIKM Leader’s Community Call
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My life before academia
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The innovation engine is broken
Historically R&D viewed as engine of economic growth
Obama in State of the Union address holds it up as solution to growth problem
Valid through the space race No longer seems to be the case
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1950 1960 1970 1980 1990 2000 2010
Axis Title
Impact of R&D on GDP growth
GDP growth
R&D intensity
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No good measures of R&D effectiveness– R&D spending is an input measure (51% of firms using)– Patents neither universal or uniform
• Less than 50% of firms doing R&D patent; universality• 10% of patents comprise 85% of economic value; uniformity
– Neither Patents nor R&D spending is reliable• Anomaly in their relationship to market value• Booz study each year says no correlation with firm growth
Implications– Front-end: Firms use rules of thumb to choose R&D investment levels– Back end: Can’t tell whether given practice helps or hurts capability
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The Problem: Firms and policymakers fly blind
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Front-end: unsure how much to spend
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Act
ual R
&D
0 20000 40000 60000 80000Optimal R&D (R*)
Majority of firms are spending sub-optimally
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Back end: Unsure what makes them effective
Changes appear random
Increasing IQ
Decreasing IQ
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Firm
IQ
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7-20
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0 50 100 150 200Firm IQ 1987-1996
Cross Plot of Old IQ versus New IQ
Number of Firms
Mean Change
Statistically Significant
Increasing IQ 178 13.0 70Decreasing IQ 184 -12.5 65
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A real world illustration of both problems
Charles House, a former longtime H.P. engineer …now at Stanford University, openly rejoiced when he heard that Mr. Hurd was leaving. “I think the sexual harassment charge was a total red herring,” Mr. Hurd was systematically destroying what had always made H.P. great. … The research and development budget used to be 9 percent of revenue, … now it was closer to 2 percent.
Is Mr House right: Did Hurd destroy what made HP great? With existing measures, we have no way of knowing!
– Whether R&D capability has deteriorated, or by how much– Whether the correct investment is 9% or 2%
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Solution: Organizational IQ…well now RQ
Derived from firm’s production function
Y = AaBb
Output = Capitala *Laborb
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Organizational RQ extends the PF in two ways
Expand to include R&D:Output = Capitala *Laborb * R&Dg * Spillovers d * Advertisinge
Make all the exponents firm-specific:– Raw RQ is the exponent, g, on R&D
• “firm-specific output elasticity of R&D”• % increase in output from 1% increase in R&D
– Reported RQ rescales g to the human IQ scale (m=100, s=15) Interpretation:
– Analog to individual IQ: • Those with higher IQ solve more problems per unit of input:• time (individuals), money (firms)
– Need to generate AND exploit innovation
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Normally distributed Variation (within industry) > Variation (across industries)
10IQs by Industry
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Industry SICF
irm
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el I
Q
IQ Mean
IQ Max
IQ Min
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umbe
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Distribution of Firm IQ
Some properties of RQ
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Its most important properties
Universal: RQ can be estimated for all firms doing R&D Uniform: An RQ of 100 (or any other number) means
the same thing across all firms regardless of currency Reliable: It “predicts” firm behavior and market value
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The IQ Guessing Game: The Business Week 5
<85 85-95 95-105 105-115 >115
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Distribution of IQ guesses for BW5
Apple Google
Microsoft IBM
Toyota
IQ guess
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Comparing RQ to other innovation indices
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Forbes 100 vs RQ
Innovation Premium
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aniz
atio
nal
IQ
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Business Week Rank vs RQ
Business Week Innovation Rank 2010
IQ 2
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2010
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IQ defines optimal R&D investment
Theory tells us profits should increase by
Both predictions hold in the real world! Firms with Higher RQ tend to spend
more on R&D Market value increases if you
increase
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Op
tima
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D s
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nd
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R&DIQ
IQ
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Optimal R&D and Market Value both increase with RQ
Using RQ immediately: Set R&D budget
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The REAL promise of RQ: firms can change theirs
Firms can change their RQ!– Though currently random
There is no theory to tell us how much this increases growth, but…– Empirics tell us 10% increase in RDg
increased growth rate 3.2% The holy grail: RQ will do for R&D
– What TQM did for manufacturing cost– What hospital report cards do for
morbidity and mortality Firms are real implementors,
….but analysts are fuel!
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Growth versus RQ
ln(RDg)ln
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RQ Summary
The most intuitive measure you can construct for R&D effectiveness It’s universal, uniform and reliable Application
– Solves the up-front problem of setting R&D budgets:• Immediate benefit: $1 trillion increased market cap just for top 20 firms!• Medium term benefit: Better R&D allocation should increase RQprofits and market value
– Solves back-end problem of knowing effectiveness: • Medium term benefit: Keeping what’s effective (dropping what isn’t) should increase
RQprofits and market value
To learn more:– Harvard Business Review article “The Trillion Dollar R&D Fix” hits online and
newsstands today: http://hbr.org/magazine• Includes online tool to lookup firms’ RQ
– www.amkANALYTICS.com offers firm reports and subscriptions to RQ data– For help implementing RQ:www.brg-expert.com/professionals-anne_marie_knott.html