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Gonçalo Pacheco-de-Almeida (HEC Paris)�Peter Zemsky (INSEAD)

Some Like It Free�Innovators’ Strategic Use of Disclosure to Slow Down Competition

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Empirical Motivation

  • Competing firms internally develop a valuable technology
  • Foregone revenues from delays in technology development

– GM vs. Toyota launching a new line of alternative fuel SUVs

– $1 million revenue loss per day for a $10,000 car (Clark, 1989)

– HP vs. IBM introducing a new series of computer models

– $1.1 million revenue loss per day for the HP 930 computer (Waldman, 1986)

– Intel vs. AMD developing the next generation of microprocessors

– $733,000 revenue loss per day for semiconductor plant (Salomon et al., 2006)

But is faster technology development always better?

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Empirical Motivation

  • Technology development is costly and time consuming
  • Speeding up investment often results in increased costs

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Empirical Motivation

  • Technology development is costly and time consuming
  • Speeding up investment often results in increased costs

– Intel’s 386 cost $200 MM and took 48 months to develop (FTC, 97)

– A two-week schedule compression would have increased costs by $8.6M (Mansfield, 88)

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Empirical Motivation

  • Technology development is costly and time consuming
  • Speeding up investment often results in increased costs

– Intel’s 386 cost $200 MM and took 48 months to develop (FTC, 97)

– A two-week schedule compression would have increased costs by $8.6M (Mansfield, 88)

This tradeoff is called Time Compression Diseconomies

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Costs ($B)

0

10

20

30

40

50

0

1

2

Costs

Development Time

Industry Average Refinery

(Oil and Gas Journal)

(30 Months, $0.23B)

Mansfield’s (1988)

Estimate

(Months)

Source: Pacheco-de-Almeida, Hawk, and Yeung (2010)

With Spillovers

(Acceleration-Cost Elasticity = 2.7)

Time Compression Diseconomies

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Research Questions

  • How does competition affect technology development dynamics?
  • What determines the optimal time-to-market of new technology?

– Industry patterns of technology diffusion, sustainability, performance

– Firms’ internal timing decisions with imitation and spillovers

  • How do the micro-properties of technology development matter?

– Technological resource accumulation with complexity, diminishing returns

R &

D

Stochastic

(Reinganum, 81)

Deterministic

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Research Questions: Levels of Analysis

  • How does competition affect technology development dynamics?
  • What determines the optimal time-to-market of new technology?

– Industry patterns of technology diffusion, sustainability, performance

– Firms’ internal timing decisions with imitation and spillovers

  • How do the micro-properties of technology development matter?

– Technological resource accumulation with complexity, diminishing returns

Industry

Firms

Resources

IO

RBV

2

1

3

Agenda

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Model Overview

  • Two competing firms that can each develop a valuable technology
  • Firms can follow two technology development strategies

– Development depends on time compression diseconomies, firm capabilities

– Imitative development: follower waits and imitates the leader

– Concurrent development: both firms develop the resource in parallel

Phase I: Pre-Pentium

Phase II: Post-Pentium

  • Solve for pure-strategy, subgame perfect equilibria

– Firms maximize the NPV of revenues minus development costs

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Model: Revenue Flows

T1

T2

0

Time

π00

π01

π10

Δ1

π11

Δ2

  • Assumption: Δ1 = π10π00 > Δ2 = π11π01

Revenue Flows

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Model: Revenue Flows

  • NPV of revenue flows:

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Model: Development Costs

  • Diminishing returns where the cost of progress is quadratic:

Discount Rate

Development Time

Development Effort

− Leader: Z1 = K

(1− d1)

Complexity

Capabilities

− Follower: Z2 = (1− d2) K

(1− s)

Spillovers under Imitative Development

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Model: Development Costs

  • Diminishing returns where the cost of progress is quadratic:
  • Parameter restrictions:

– Both firms develop the technology,

– Follower not much more capable than leader,

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Firm-Level Analysis

Optimal Development Times

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0

10

5

0

Single Firm Development Time

Cost

Present Value of Revenues

Development Time

Optimal Time

20

10

Profits

Revenues and Costs

Costs

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Concurrent Development Times

Condition: Zi is non-observable and Δ2 is not too much lower than Δ1

Leader firm

Follower firm

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Imitative Development Times

Leader firm

Follower firm

Condition:

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Industry-Level Analysis

Competitive Dynamics

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Technology Diffusion and Sustainability

0

30

20

10

0

1

0.75

0.25

0.5

Leader in Concurrent

Follower in Concurrent

Leader in Imitative

Follower in Imitative

d1 = d2 = ½, K = 19, r = .1, 10, π11, π00, π01} = {4, 3, 2, 1.9}

Sustainability in Imitative

Spillovers (s)

Time-to-Market

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Proposition: The leader is faster to market under concurrent development than under imitative development.

N.B.: There is no clear ordering for the follower.

Proposition: The sustainability of the leader’s competitive advantage is greater under imitative than concurrent development if and only if spillovers are sufficiently small.

Technology Diffusion

and Sustainability

N.B.: The leader has a period of competitive advantage under both imitative and concurrent developments.

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Performance and Endogenous Spillovers

0

1

0.75

0.25

0.5

22

21

20

Leader in Concurrent

Follower in Concurrent

Leader in Imitative

Follower in Imitative

Optimal spillovers for leader

Optimal spillovers for follower

Firm Profits

Spillovers (s)

The Limits to Imitation

Free Revealing

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Performance and

Endogenous Spillovers

Proposition: Suppose there is imitative development.

(i) The leader’s profits are maximized at s = 0.

(ii) The follower’s profits are maximized at some s < 1

if π10 is large relative to π11.

Proposition: Suppose the leader commits to certain level of spillovers s and then the follower chooses concurrent or imitative.

For any parameters (K, di, r, π00, π11), there exist values of π10 and π01 such that the leader optimally sets s > 0.

The Limits to Imitation

Free Revealing

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Proposition: Suppose the leader is at least as capable as the follower (i.e., d1d2).

(i) Under concurrent development, the leader has higher

profits than the follower.

(ii) Under imitative development, the leader has higher

profits if and only if spillovers are not too high.

Performance and

Endogenous Spillovers

Proposition: In a new market, an increase in the time compression capabilities of the leader increases the relative profits to the follower of imitation.

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Resource-Level Analysis

Microfoundations of Technology Development

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Model Microfoundations

Knowledge

Complexity

=

K

(1 ─ )

Spillovers

s

(ct)

Investment

0

T

dt

Accumulation

α

Diminishing Returns

  • Rivkin (00)
  • Anderson et al. (99)
  • Cohen et al. (00)
  • Mansfield et al. (81)
  • Ryall (05)
  • Reed & DeFillippi (90)

(1 ─ )

Capabilities

d

  • Teece et al. (97)
  • Hamel & Prahalad (90)

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Model Microfoundations

=

K

(1 ─ )

s

(ct)

0

T

dt

α

(1 ─ )

d

C(T)

=

ct*(T)

  • Lucas (71)

e rt

0

T

dt

α r

(1 ─ α)(e rT α / (1-α) ─ 1)

(1- α) / α

=

(1 ─ s )

1/α

K

1/α

(1 ─ d )

1/α

when α = ½ (for tractability)

=

r Z

2

e 1

rT

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Discussion

Hypothesis

► Spillovers are detrimental to innovators because R&D rents are not appropriated

: Free Revealing

Classical View

Free Revealing View

Free Revealing View

Managerial Implications

► Innovators should conceal IP to reduce diffusion if spillovers are uncompensated

Hypothesis

► Spillovers may be beneficial to innovators when losses in R&D rents are compensated by:

• gains in reputation | • market enlargement

• standard setting | • cross-spillovers

Managerial Implications

► Innovators should reveal IP to induce diffusion if spillovers are compensated

(Arrow, 1962; Spence, 1984; Scherer, 1984; Mansfield, 1985; Levin et al., 1987; Cohen et al. 2000; Harhoff et al., 2003)

(Allen, 1983; D’Aspremont and Jacquemin, 1988; De Fraja, 1993; Harhoff, 1996; Lim, 2000; von Hippel and von Krogh, 2003)

Hypothesis

► Spillovers are detrimental to innovators because R&D rents are not appropriated

BUT may persuade rivals to wait and imitate, thereby reducing competitive pressure

Managerial Implications

► Innovators should reveal IP to induce delayed diffusion if spillovers are uncompensated

(Pacheco-de-Almeida and Zemsky, 2010)

Technology diffusion decreases profits

Technology diffusion increases profits

Technology diffusion decreases profits

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Discussion

Hypothesis

► Spillovers are detrimental to innovators because R&D rents are not appropriated

: Free Revealing

Classical View

Free Revealing View

Managerial Implications

► Innovators should conceal IP to reduce diffusion if spillovers are uncompensated

Hypothesis

► Spillovers may be beneficial to innovators when losses in R&D rents are compensated by:

• gains in reputation | • market enlargement

• standard setting | • cross-spillovers

Managerial Implications

► Innovators should reveal IP to induce diffusion if spillovers are compensated

(Arrow, 1962; Spence, 1984; Scherer, 1984; Mansfield, 1985; Levin et al., 1987; Cohen et al. 2000; Harhoff et al., 2003)

(Allen, 1983; D’Aspremont and Jacquemin, 1988; De Fraja, 1993; Harhoff, 1996; Lim, 2000; von Hippel and von Krogh, 2003)

Hypothesis

► Spillovers are detrimental to innovators because R&D rents are not appropriated

BUT may persuade rivals to wait and imitate, thereby reducing competitive pressure

Managerial Implications

► Innovators should reveal IP to induce delayed diffusion if spillovers are uncompensated

(Pacheco-de-Almeida and Zemsky, 2010)

Examples

Intel post-Pentium; IBM pre-09; GM pre-71

Examples

Intel pre-Pentium; IBM post-09; GM post-71

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  • Intel: a good example…

• time-compression diseconomies |• innovation timing is critical (Moore’s Law) | • duopoly

Discussion

: Free Revealing

  • …of a bad technology strategy

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  • Intel: a good example…

• time-compression diseconomies |• innovation timing is critical (Moore’s Law) | • duopoly

Discussion

: Free Revealing

  • …of a bad technology strategy

Free Revealing

► Intel shared chip designs

► AMD waited and imitated

Classical View

► Intel refused to share designs

► AMD started parallel development

“We don’t have any barriers for competitors, just a few speed bumps that people have to go around” – Intel lawyer

Negative effect on Intel’s profitability

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Discussion

Hypothesis

► Spillovers are beneficial to imitators because development costs and time are reduced

Classical View

The Limits to Imitation View

Managerial Implications

► Imitators should maximize absorbed spillovers by investing in absorptive capacity, co-locating with leaders

(Arrow, 1962; Spence, 1984; Scherer, 1984; Mansfield, 1985; Levin et al., 1987; Cohen et al. 2000; ; Cohen and Levinthal, 1990; Dierickx and Cool, 1989)

Hypothesis

► Spillovers are beneficial to imitators because development costs and time are reduced

BUT too high spillovers may slow down innovators’ development and, thus, imitation

Managerial Implications

► Imitators should limit the know-how that they can freely appropriate from innovators: the dark side of absorptive capacity

(Pacheco-de-Almeida and Zemsky, 2010)

: Limits to Imitation

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Discussion

: Empirical Testing

Hypothesis 1 (Outgoing Spillovers):

Free revealing by innovators Delayed technology diffusion

Increased innovator performance

Hypothesis 2 (Incoming Spillovers):

Limits to appropriation by imitators Faster technology diffusion

Increased innovator performance

Spillovers: patent citations, technology sharing agreements, geographical co-location, secrecy measures from Carnegie Mellon University (CMU) survey; absorptive capacity measures (e.g., R&D investments)

Diffusion: publicly available information on project development times in industries such as semiconductors, oil and gas, automotive, and consumer electronics or imitation lags from CMU survey

Performance: focus on publicly traded companies (Compustat, etc)

Data:

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  • Time compression diseconomies lead to sustainability
      • by making instantaneous technology development impossible
      • in both the imitative and concurrent development scenarios

  • Imitation slows down the leader’s technology development
      • but its effect on technology diffusion to the follower is ambiguous

Conclusions

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  • Technology spillovers may hurt imitators and benefit innovators
      • imitators may lose from increases in absorptive capacity
      • innovators may be better off disclosing proprietary technology for free

  • Sustainable competitive advantage may lead to inferior profits
      • unless spillovers are sufficiently low under imitative development

Conclusions

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Back-Up Slides

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30-Year-Old Theoretical Debate

Technology development

(Reinganum, 1981; Ruiz-Aliseda and Zemsky, 2006)

Technology Adoption

(Fudenberg and Tirole, 1985)

Assumptions

Equilibrium

Outcomes

► Acquired externally (from suppliers)

(*) Credible responses to observable actions

► Unique subgame perfect equilibrium

(*)

► Rent equalization

(1) Late joint adoption OR

(2) First mover but preemptive threats

  • Observable
  • Instantaneous

► Costs fall over time due to supplier efficiency

► Developed internally (by firms)

► No rent equalization but first-mover advantages

N.B.: Δ2 cannot be too much lower than Δ1

  • Unobservable (only deployment)
  • Time-consuming

► Costs fall over time due to TCD

► Unique subgame perfect equilibrium

(*)

► No imitation, spillovers, or capabilities

► Focus on imitation, spillovers, capabilities

Other Differences

  • Firms costlessly change strategies
  • It is costly to change strategies (commitment)

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Performance and Endogenous Spillovers

0

2

-1

1

0.75

0.25

0.5

Profits Leader − Profits Follower in Imitative

Profits Leader − Profits Follower in Concurrent

0

1

Profit Differential

Spillovers (s)

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25

20

15

10

5

0

10

5

0

Cost

Present Value of Revenues

T* = ∞

Inimitability

Single Firm Development Time

Development Time

Revenues and Costs

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Model Microfoundations

10

20

0

0

10

20

0

0

Speed Capabilities

Diminishing Returns

Costs

Development Time

Development Time

Costs