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Innovation through Optimal Licensing MIT Center for eBusiness Nov 3, 2005 Marshall Van Alstyne Boston University & MIT [email protected] Geoffrey Parker Tulane University [email protected] Sponsored by NSF IIS-0338662

Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

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Page 1: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

Innovation through Optimal Licensing

MIT Center for eBusinessNov 3, 2005

Marshall Van AlstyneBoston University & MIT

[email protected]

Geoffrey ParkerTulane University

[email protected]

Sponsored by NSF IIS-0338662

Page 2: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Agenda

• Motivation & Examples 10• Redefining network effects 15

– Non-mathematical intuition & biz logic• Formal Model 10

– Claims & proofs• Stimulating innovation 25

Topic Time

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© 2005 Van Alstyne

US Constitution – Article 1, Section 8, Clause 8 :

Congress shall have power to promote the progress of science and useful arts, by securing for limited times to authors and inventors the exclusive right to their respective writings and discoveries.

Page 4: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

The Debate

Longer is Better Free / Open is Better

• Infinitely long but narrow patents– Gilbert & Shapiro ‘90

• Infinitely renewable ©– Landes & Posner ’03

• Even “perfect” control better for incentives– Wagner ‘03

• Capturing sequential innovation– Green & Scotchmer ‘95

• Fundamental right of access– Stallman ‘92

• Tragedy of the “AntiCommons”– Heller & Eisenberg ’98

• Collective production– Benkler ’02– Hippel & Krogh ’03

• Open Science (enablement)– David ‘04

Page 5: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Motivating Issues• OSS licenses destroy economic incentives to

innovate.

– Even Raymond admits that such licenses only permit indirect business models like sale of services.

• To build on a code base, a developer needs access and permission. Hold-up and monopsony curb innovation.

• Neither patent nor copyright law adequately solve the problems of full disclosure & enablement for software.

Page 6: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Tension exists between ownership & access.

True for all kinds of platform goods.

Page 7: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Incentives to develop software

U.S.

U.K.

Germany

Japan FranceItaly

BrazilKoreaRussiaChina0

10

20

30

40

50

0.2 0.4 0.6 0.8 1

Piracy Rate

Softw

are

Rev

enue

pe

r cap

ita ($

)

Source: Software & Information Industry Association

Page 8: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Reusable Art

Sarah Boxer “Chomp if you like Art” 12-27-04 NYT

Piet Mondrian. Broadway Boogie Woogie. 1942–43. Oil on canvas, 50 x 50"(127 x 127 cm)

Page 9: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Reusable Art

Bacchus & Ariadne by Titian

Page 10: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Reusable Maps

1897 Rand McNally map © 2002 Cartography Associates, David Rumsey Collection, used with permission.

Page 11: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Reusable Music• Music based on the same

beat– Pitbull: Culo– Elephant Man:

Youngbloods– Twista: Jook Gal (Remix)– Nina Sky: Move Your Body

Girl

• Creative Commons– David Byrne– Chuck D– Zap Mama– Thievery Corporation

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© 2005 Van Alstyne

Mash-Ups• I'm awed by the power of

the people: the hackers, the experimenters, the strangers who help strangers in the online cellphone forums. If the cellphone companies were smart, they'd realize that these customers are their allies, not their enemies.

Source: NYT 10/20/05 – “Journey to a Thousand Maps Begins With an Open Code”

David Pogue NYT 10/27/05

Page 13: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Question: What are “network externalities?”

Hint: they matter for platform growth and development…

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© 2005 Van Alstyne

Reinterpreting Network Externalities

FAX

• “Network Externalities”are demand economies of scale.

• They imply at least some level of interaction as when I email you, or you FAX or IM me.

Phone E-Mail

IM

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© 2005 Van Alstyne

Reinterpreting Network Externalities

• Where is the interaction when your neighbor rents “Lord of the Rings”?

• In fact, his rental may mean you have to wait!

Page 16: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

A “2-sided” network externality crosses markets from consumers

to developers or developers to consumers

Page 17: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Product Category Mkt 1 Product Intermediary Mkt 2 Product

Portable Documents Document reader* Adobe Document Writer

Credit Cards Consumer credit* Issuing bank Merchant Processing

Operating Systems Complementary Applications

Microsoft, Apple, Sun Systems Developer Toolkits*

Plug-Ins Applications Software Microsoft, Adobe Systems Developer Toolkits*

Ladies’ Nights Men’s Admission Bars, Restaurants Women’s Admission*

TV Format Color UHF, VHF, HDTV*

Sony, Phillips, RCA Broadcast Equipment

Advertisements Content* Magazines, TV, Radio Advertisers

Computer games Game Engine/ Player Games Publishers Level Editors*

Auctions Buyers* E-bay, Christie’s, Sotheby’s

Sellers

Streaming Audio/Video Content* RealPlayer, Microsoft, Apple

Servers

* Indicates which market is discounted, free or subsidized. Source: Parker & Van Alstyne 2002

Readily identifiable platform markets

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© 2005 Van Alstyne

Consider profits in two marketsMarket Two

(Acrobat Distiller)Market One

(Acrobat Reader)

Pric

e

Pric

e

q1

p1

q2

p2

QuantityQuantity

Initially, there are profits to be made in both markets.

Page 19: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

Consider profits in two marketsMarket One

(Acrobat Reader)Market Two

(Acrobat Distiller)

Pric

e

Pric

e

Quantityq2

p2

Quantityq1

p1

Initially, there are profits to be made in both markets.

© 2005 Van Alstyne

But subsidizing market one can increasedemand and profits in market two morethan the loss in market one.

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© 2005 Van Alstyne

Why this can also create profits

V4V3

Indu

stry

Pro

fitPlatform Value

V1 V2 V3V4

Pric

e

q1

p1

V1

V2

Quantity

Page 21: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Question: So how do you stimulate innovation on your

platform?One answer: manage your

platform standards, specs & IP to promote it…

Page 22: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Consider a Flexible License

• A default contract offered to anyone.• Original author opens portions platform to public,

keeping a key complement proprietary.• Offers open source style license but forces

disclosure on derivative works after T years.• Inventor profits from

– sales of complementary good– New versions: 5%x1e9 > 95%x1e6

Page 23: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

OSS ClassificationType Free Redist Unlimited

UseSrc.

Avail.Src.Mod.

PublicCheckIn

Viral

Commercial

Trial SW x

Shareware x x

Royalty Free Bin. x x x

Royalty Free Lib. x x x x

Open Src (BSD) x x x x x

Open Src (Apache) x x x x x x

Open Src (Linux/GNU) x x x x x x x

Source: Vinod Valloppillil / The Halloween Document

Page 24: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Most licenses are boundary solutions

σσ

tt

GPL

BSDMS EULA

New

100

1API• Let σ∈[0,1] be the

measure of openness.

• Let t∈[0,1] be the time to release derivative works.

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© 2005 Van Alstyne

Coding on the shoulders of giants…

VA

NU

But can’t charge for fraction σ given away.

Platform authors can charge for VA.

(1-σ)VA

+∆U

Opening the code promotes adoption and opportunities for adaptation.

+∆U Opening the code promotes adoption and opportunities for adaptation.

VD2

+∆U

Repeat...

VD1

Developers add value.

Page 26: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

VA

NU

How can we model the feedback from Developers → Consumers → Developers …?

+∆U

(1-σ)VA

Tatonnement:

õûVa ! eduõûVa ! eudeduõûVa ! edueudeduõûVa ! :::

Defines Cauchy sequences: M D = 1à edueud

õûVa M U = 1à edueud

eduõûVa

Page 27: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Model Parameters

Va = Intrinsic platform Value (from original author)

û = Shared platform value, openness

t = Time until derivative works become open

Ò = Open platform resources (0 until original author contributes)

N u; N d = Native Users and Developers with no network externalities

M u; M d = Network Multipliers from Users and Developers respectively

î = Discount factor (just simpler form of )eà r t

p = Price charged during proprietary period

k = Reuse or Konversion rate of open resources in new production

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© 2005 Van Alstyne

• Consumer & Developer participation

• Free/Open Platform Evolution

qut = N u + M uÒt

qdt = N d + M dÒt

Ò1 = ûVa

Ò2 = Ò1 + qd1õÒ1(1 à eà r t)

Page 29: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Model Timing

0 1 2

Developers respond toσ and t. Consumers choose

consumption levels.

Dvprs create newworks using t = 1 code.Consmrs choose again.

Platform authorChooses σ and t.

Page 30: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

This provides flexible BizModels

• Direct consumer sales– Office Suites (word processing,

spreadsheet, presentation)– Graphics packages (Photoshop,

Illustrator, ...)– DB & Statistical tools (Access,

Oracle, Stata, …)

• Indirect growth in sales– Operating System APIs– Office Suite plug-ins– 3rd party DB & Stat add-on

packages

• Indirect developer royalties– Game cartridges– Streaming media– Flash & PDF distiller

ùa = qu1(Va à Ò1) + :::

ùa = ::: + î (qu2 à qu1)(Va à Ò1) + :::

ùa = ::: + þp1qd1qu1 + î þp2qd2qu2

Page 31: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

When Openness “Wins”

Innovation Test:

M uVa(1 + N dkî (1 à î )) > = N u

For any given user base , there exist user side network effects platform values , or developer value added , that justify opening the code .

N u M uVa N dkî (1 à î )

û > 0

Optimum absent Innovation:

ûã = 21 à M uVa

Nu

Even if there is no innovation with reuse , user side network effects are sufficient to justify opening the code .û > 0

k = 0

Page 32: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

License Welfare ComparisonsOpen BSD and GPL licenses create greater total welfare. But unless the royalty rate exceeds a key threshold, an author prefers EULA

BSD is better if developers are profit motivated. GPL is better if developers are freedom motivated.

The flexible license always meets or exceeds both corner solutions, doing especially well if there is a mix of motives .

License Total WelfareAuthor ProfitauVNEULA

BSD

GPL

auVN

)( 22auuuaud VNMNkVNM +φ )1)(1( audauau VNkMVMVN ++

)1( auau VMVN +0

Page 33: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Profits & Social Welfare Can Rise

Profits

Social welfare

• Social welfare and profits both show clear optimal values.• t can dynamically adjust to industry clockspeed.• Implies a hybrid can be better for profits and welfare.

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© 2005 Van Alstyne

Why not subcontract in lieu of opening code?

Benefit Cost

• No sacrifice of (1-σ) code• Can open all own code to developers• Can contract for developer sharing

• Users can’t see, modify, or redistribute code

In the absence of network effects, subcontracting always dominates

But, in the presence of incentives, there is always some level ofnetwork effects that makes an open license more profitable.

Page 35: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

So Why Don’t Developers “Do The Right Thing” Naturally?

The answer is a prisoner’s dilemma.

arising endogenously from:1. Larger reusable code base complements development.2. Private desire to charge lengthens t.

This implies that contracts must enforce disclosure and some governance structure is better than anarchy

HoardDeveloper B

(πHH, πHH)

Free

(πHF, πFH)

(πFH, πHF) (πFF, πFF)

Hoard

Free

πHH > πFH πHF > πFF

Deve

loper

A

Page 36: Innovation through Optimal Licensingebusiness.mit.edu/sponsors/common/2005-Fall-Res-Seminars/... · 2005-11-07 · Innovation through Optimal Licensing MIT Center for eBusiness Nov

© 2005 Van Alstyne

Issue 1

Problem: OSS licenses destroy economic incentives to innovate.

Proposal: Return sufficient pricing power to developers to restore incentives. At a minimum, benefits to developers should cover direct expenses and opportunity costs.

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© 2005 Van Alstyne

Issue 2

Problem: To build on a base of code, a developer needs not only access, but also permission. Hold-up and the monopsonyproblem reduce innovation incentives.

Proposal: As with GPL, offer a default contract that allows innovators the freedom to act upon their ideas.

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© 2005 Van Alstyne

Issue 3

Problem: Certain licenses create opportunities to fork the code base. Consequences include VA Linux, Red Hat Linux, Free BSD, OpenBSD, Net BSD and Mac OSX.

Proposal: Require developers to license enhancements back to author who commits to withhold them from common code base until expiration of the proprietary period.

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© 2005 Van Alstyne

Issue 6

Problem: Technology markets compete on components vssystems. But monolithic sellers lack “best-of-breed” parts while fragmented sellers suffer from multi-party bargaining.

Proposal: Commencement of the free period permits near zero cost transfer of enabling technology throughout developer pool. Best enhancements enter the code base with trivial bargaining cost distortion.

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© 2005 Van Alstyne

Conclusions• Consider a license that positions your

intellectual property as a platform upon which diverse sources can build.

• Access to source code affects who can innovate but incentives affect who will innovate.

• Proprietary systems benefit from becoming more like OSS while OSS benefit from becoming more proprietary.

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© 2005 Van Alstyne

Questions?

[email protected]