the evolution of biotechnology as a knowledge industry: network movies and dynamic analyses of...
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The Evolution of Biotechnology as a Knowledge Industry: Network Movies and Dynamic Analyses of Emergent Structure
• Walter W. Powell Douglas R. White Kenneth W. KoputStanford University UC Irvine University of Arizona
Slides by Douglas R. White
• Biotechnology as a knowledge-based industry involves extensive reliance on organizational learning. This occurs through networks of dense collaborative ties among organizations. We model the emergence of the industry network of contractual collaborations from 1988-99 in relation to both firm-level
organizational and financial changes.
Network Movie: 1988-99• The following twelve slides show the evolution of
collaborative contracts within the biotech industry
• Green ties =Finance
• Red ties =Res&Dev» Grey =Finance
» LiteBlue =Biotech
» Yellow =Pharmaceuticals
» Orange =Res.Labs and Universities
» DarkBrown =Government (e.g., NIH)
» Pink =Miscellaneous
1988: Lots of
Finance,
little R&D
1989: Nucleus of
R&D attracts
more Finance
1990: Massive
investment
in R&D
1991: The phase
transition
is complete
1992: …and then
it stops
1993:
1994:
1995:
1996:
1997:
1998:
1999:
Figure 1: Levels of Network Cohesion: Tricomponents (within dark/red circles) embedded in
Bicomponents (circled in medium/green) within Components (in light/yellow circles)
Figure 2: Slow Transitions to Giant Components,1990-1994
0
200
400
600
800
1000
1200
1400
1600
1800
1983 1985 1987 1989 1991 1993 1995 1997 1999
1-comp
1-mode
482edges
edges
2-mode
3112edges
Figure 3: Rapid Phase Transition in Bicomponent Growth
0
100
200
300
400
500
600
700
1988 1990 1992 1994 1996 1998
R&D
Lic
Finance
Comm
R&D/Lic/Comedge frq
Figure 4: Degree(+1) Distributions for the 1-Mode Data
1
10
100
1000
1 10 100 DBF degree 10 (482 biotech firms)
freq
uenc
y
Figure 5 a: Degree(+1) Distributions for the 2-Mode Data
1
10
100
1000
10000
1 10 100# Links (plus 1)
# O
rga
niz
ati
on
s
482dbf
partners
Figure 5 b : Degree(+1) Distributions for the 2-Mode Data(removing zero frequency counts)
1
10
100
1000
10000
1 10 100# Links (plus 1)
# O
rga
niz
ati
on
s
482dbf
partners
Figure 5 c: Exponential for DBFs' degree choosing partners; power-law for partners degree chosen by DBFs
1
10
100
1000
10000
0 5 10 15 20 25 30 35
482dbf
partners
dbf*.85
part 0̂.9
Figure 6: Scatterplot of Biotech degree as chosen by other Biotechs (1-Mode) and as chosers of 2-Mode Partners
(v2log=.55+0.52v1og; R-Square=0.15)
Degree Correlation for Biotech Firms
1
10
100
1 10 1001-mode
2-m
od
e
Figure 7: The Sexta-component of R&D and Finance Contracts in the Biotech Industry Blue=Biotech, Size of nodes reflects number of finance ties. Brown=government Orange=Research Institutes and Universities Yellow=Pharmaceuticals (f=DBF p=partners)
Figure 7: The Sexta-component of R&D and Finance Contracts in the Biotech Industry Blue=Biotech, Size of nodes reflects number of finance ties. Brown=government Orange=Research Institutes and Universities
Yellow=Pharmaceuticals (f=DBF p=partners)
Figure 8: 1988
Figure 8: 1989
Figure 8: 1990
Figure 8: 1991
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
Figure G1: Time Series of Growth Parameters: Mean Growth by Tie Activity, Separately for Form of Partners.
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
Figure G2: Time Series of Growth Parameters: Mean Growth by Partner Form, Separately for Type of Activity.
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
Figure G2: Time Series of Growth Parameters: Mean Growth by Partner Form, Separately for Type of Activity.
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
1 2 3 4 5 6 7 8 9 10 11-0.1
-0.05
0
0.05
0.1
0.15
0.2
0.25
Figure G1: Time Series of Growth Parameters: Mean Growth by Tie Activity, Separately for Form of Partners.
• Left Figure Plots Coefficient of Variation over time for Modal Combinations: Magenta = R&D to Universities and NonProfits, Red = R&D to Government, Green= Finance to Financial, Cyan = Commercial to Biotech, Blue = Commercial to Pharmaceutical and Other For- Profit.
•Right Figure Plots Coefficient of Variation for all remaining combinations with no color legend.
1 2 3 4 5 6 7 8 9 10 11-50
0
50
100
150
200
250
300
1 2 3 4 5 6 7 8 9 10 11-150
-100
-50
0
50
100
Figure 9: Cycles of Learning and Organizational Returns (Powell et al. 1999)
Legend 1. Ovals represent network properties, rectangles are performance and outcome measures, while rounded rectangles can be treated as either firm characteristics or outcomes. 2. Shadowed components carry over from Powell et al. (1996).
Figure 10 a: Finance and R&D networks of 2219 organizations 1988-1991
Figure 10 b: Finance and R&D networks of 2219 organizations 1992-1995
Figure 10 c: Finance and R&D networks of 2219 organizations 1996-1999
Figure 11: Distance from NIH: R&D and Finance