organizational rq

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Organizational RQ Anne Marie Knott Professor of Strategy, Washington University Director, Berkeley Research Group _______________________________________________ April 17, 2012 SIKM Leader’s Community Call

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by Anne Marie Knott of Washington University in St. Louis

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Page 1: Organizational RQ

Organizational RQ

Anne Marie KnottProfessor of Strategy, Washington University

Director, Berkeley Research Group_______________________________________________

April 17, 2012SIKM Leader’s Community Call

Page 2: Organizational RQ

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My life before academia

Page 3: Organizational RQ

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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

0.00%

2.00%

4.00%

6.00%

8.00%

10.00%

12.00%

14.00%

1950 1960 1970 1980 1990 2000 2010

Axis Title

Impact of R&D on GDP growth

GDP growth

R&D intensity

Page 4: Organizational RQ

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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

Page 5: Organizational RQ

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Front-end: unsure how much to spend

020

0040

0060

0080

0010

000

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

050

100

150

200

Firm

IQ

199

7-20

06

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

Page 7: Organizational RQ

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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%

Page 8: Organizational RQ

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Solution: Organizational IQ…well now RQ

Derived from firm’s production function

Y = AaBb

Output = Capitala *Laborb

Page 9: Organizational RQ

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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

Page 10: Organizational RQ

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Normally distributed Variation (within industry) > Variation (across industries)

10IQs by Industry

30

50

70

90

110

130

150

2834

2835

2844

3572

3576

3577

3651

3661

3663

3674

3679

3690

3825

3842

3845

3861

7370

7372

7373

Industry SICF

irm

-Lev

el I

Q

IQ Mean

IQ Max

IQ Min

010

020

030

0N

umbe

r of

Firm

s

0 50 100 150 200Q

Distribution of Firm IQ

Some properties of RQ

Page 11: Organizational 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

Page 12: Organizational RQ

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The IQ Guessing Game: The Business Week 5

<85 85-95 95-105 105-115 >115

0.0

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Distribution of IQ guesses for BW5

Apple Google

Microsoft IBM

Toyota

IQ guess

Pe

rce

nta

ge

of

gu

es

se

s

Page 13: Organizational RQ

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Comparing RQ to other innovation indices

10 20 30 40 50 60 70 800

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40

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Forbes 100 vs RQ

Innovation Premium

Org

aniz

atio

nal

IQ

(20

04-2

010)

0 5 10 15 20 25 30 35 40 45 5070

80

90

100

110

120

130

Business Week Rank vs RQ

Business Week Innovation Rank 2010

IQ 2

004-

2010

Page 14: Organizational RQ

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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

0.02

0.0300000000000001

0.0400000000000001

0.0500000000000001

0.0600000000000001

0.07

0.0800000000000002

0.09

0.1

0.11

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0.0

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o...

Op

tima

l R&

D s

pe

nd

ing

R&DIQ

IQ

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Optimal R&D and Market Value both increase with RQ

Using RQ immediately: Set R&D budget

Page 15: Organizational RQ

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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!

-1.00 -0.50 0.00 0.50 1.00 1.50 2.00

-2.00

-1.00

0.00

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Growth versus RQ

ln(RDg)ln

(rev

neue

gro

wth

200

0-20

07)

Page 16: Organizational RQ

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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