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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology Who Will Profit from Social TV Service? Insights and Queries From A Technology Disruption Model Chintan Vaishnav [email protected] Engineering Systems Division Massachusetts Institute of Technology October 24, 2008 Communications Futures Program MIT
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Page 1: Who Will Profit from Social TV Service?cfp.mit.edu/events/08Oct/presentations/Chintan...content popular for social interaction (e.g. sports) could enjoy strong control over the viewership

© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Who Will Profit from Social TV Service?Insights and Queries From A Technology Disruption Model

Chintan [email protected]

Engineering Systems DivisionMassachusetts Institute of Technology

October 24, 2008Communications Futures Program

MIT

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2© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Disruptive Technology

Example Cases:Mini millsDisc Drives

Ref: The Innovator’s Dilemma,Clayton Christensen (1997)

HighLowLowEntrantLowHighHighIncumbent

AncillaryPerformance(AdditionalFeatures)

PrimaryPerformance

(Basic Features)

PriceFirm

Time/Engineering Effort

Prod

uct P

erfo

rman

ce

First (incumbent) Technology

Second (entrant)Technology

Question: Does Social TV Service fit this picture?

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3© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Social TV Service

Starting from CFP Working PaperInnovation at the Edge: Social TV and Beyond, Natalie Klym and Marie JoseMontpetit, September 1, 2008

“edge-based trends [are] driving ‘social TV,’ including thepersonalization of devices, the integration of social networks with thevideo value chain, and P2P networking among STBs.”

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4© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Is Social TV Service a Disruptive Technology?

MobilitySharing ContentSharing ExperienceDevice Variety

(High)

Device QualityConnection QualityContent Quality

(Low)

$0-$

(Low)

Social TV Service(Entrant)

MobilitySharing ContentSharing ExperienceDevice Variety

(Low)

Device QualityConnection QualityContent Quality

(High)

$50-$60

(High)

Traditional TVService(Incumbent)

AncillaryPerformance(AdditionalFeatures)

PrimaryPerformance

(Basic Features)

PriceFirm

“Technology disruption alone may not change the existing industrialorder despite meeting Christensen’s Conditions. One must also lookat other technological, market, and organizational uncertainties.”

Does Technology Disruption Always Mean Industry Disruption, Chintan Vaishnav,ISCSD 2008, Athens, Greece

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

The Disruption Model

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6© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Model Setup and Assumptions

• A behavioral model (akin to behavioral game theory model)• 2 Firms – Incumbent, Entrant• 20 year period (think technology paradigms…)• Incumbent enters at Year 0• Entrant enters at Year 6 (when incumbent is mature)• Firms initialized with Christensen’s conditions…– Entrant has half Cost base than Incumbent– Entrant has half Initial Primary Performance than Incumbent– Entrant has double the Initial Ancillary Performance than Incumbent

• Both Incumbent and Entrant are equally capable (technicallyand organizationally) to produce the same products• Consumers are homogenous in their preferences

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7© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Consumer Preference and Behavior

Product

Attractiveness

Attractiveness from

Primary Performance

+

Attractiveness from

Ancillary Performance

+

Price

-

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8© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Consumer Preference and Behavior

Adopters

Attractiveness from

Installed Base

Product

Attractiveness

Market Share of

Product

Attractiveness

Total Product

Attractiveness

+

+

+

+

+

-

Attractiveness from

Primary Performance

+

Attractiveness from

Ancillary Performance

+

Price

-

R1

Network Effect

B1

Market Saturation

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9© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Consumer Preference and Behavior

Adopters

Attractiveness fromInstalled Base

ProductAttractiveness

Market Share ofProduct

Attractiveness

Total ProductAttractiveness

+

+

+

+

+

-

Switching toCompetitor

--

Attractiveness fromPrimary Performance

+

Attractiveness fromAncillary Performance

+

Price

-

R1

Network Effect

B1

Market Saturation

R2

Switching Behavior

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

The P2P Networking of STB

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11© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Traditional service – simplified version

STB

Con

ditio

nal

Acce

ss

Tune

rContent Acquisition &aggregation

Contentdelivery

EPG

, VO

D

DVR

Contentproduction

3rd party TV content

production

TV listings

Advertisingcontent

production

Cable operator

Cable operator

BroadcastersCable networks

Advertisers

Cable operator

Cable operator

CE manu.

TV

3rd party listing aggregator

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12© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

STB

Con

ditio

nal

Acc

ess

Tune

rContent acquisition &aggregation

Contentdelivery

EPG

, VO

D

DVR

Contentproduction

3rd party TV content

production

TV listings

Advertisingcontent

production

Bro

adca

ster

sC

able

net

wor

ks

Face

book

TV

Social TV service – operator based – P2P Networking of STBs

Cable operatorCable operator

Cable operator

Advertisers

Power user TV

CE manu.

PC

Cellphone

InternetAccess ISP

STB

Conditional Access Tuner EPG, VOD

DVR

Facebook TV

TV

PC

Cell

phon

e

Peer

STB

Conditional

Access

Tuner

EPG, VOD

DVRFacebook

TV

TV

PCCell

phone

Peer

Listing aggregator

- Instant Messaging-like Overlay (IPTV Middleware, True2Way)- P2P connection between STBs in a home/officeNK, MJM, Social TV White Paper

Q: What do these trends broadly imply?A: Higher Direct Network Effects?

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13© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Model Lessons: Network Effect

Adopters200 M

150 M

100 M

50 M

0 4 4

4

4

4 4

1

1

1

11

1 1

0 24 48 72 96 120 144 168 192 216 240Time (Month)

Uni

t

Adopters[Incumbent] : Active Base Case 1 1 1 1 1

Adopters[Entrants] : Active Base Case4 4 4 4 4 4Adopters[Incumbent] : Network Effect Hi 3 3 3 3 3

3

3

3 3 3 3 3

6 6 6 6 6 6

Adopters[Entrants] : Network Effect Hi 6 6 6 6 6

With network effects the equilibrium can be winner take all (WTA). The strength of network effect determines the winner

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14© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

What does the P2P networking of STBs mean?

The cable operator that produces, acquires, and deliverscontent popular for social interaction (e.g. sports) couldenjoy strong control over the viewership of some programsthat is difficult to dislodge.

P2P networking of STBs works very well with the operator’scurrent business model for them to capture value.

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

The Integration of Social Networks

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16© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

STB

Con

ditio

nal

Acc

ess

Tune

rContent acquisition &aggregation

Contentdelivery

EPG

, VO

D

DVR

Contentproduction

3rd party TV content

production

TV listings

Advertisingcontent

production

BroadcastersCable networks

Listing aggregator

InternetAccess ISP

Profile creation

Social graph creationPresence & availability management

Facebook

Face

book

TV

TV

CE manu.

InternetAccess ISP

Social TV service – operator based – Social Networking Integration and Facebook TV example

PC

Cellphone

Cable operator

Cable operatorCable operator

Cable operator

Advertisers

Content aggregationShared viewingTargeted advertising

FBTV service transactions

-Integrating Social Networks(Program Listings)

- Facebook TV

NK, MJM, Social TV White Paper

Q: What do these trends broadly imply?A: Higher Direct Network Effects

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17© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

What does the integration of social networks mean?

Who captures value (enjoys higher direct network effect) dueto integrating social networking or Facebook TV?– Traditional Players

– Content Producer (?)– Content Acquisition / Aggregator (?)– Content Delivery (Provider) (?)– Device Manufacturer (?)

– Social Network Websites (?)

How do they monetize the benefits?

What does it mean to make TV interface like a socialnetworking site (like in Facebook TV)?

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

The Personalization of Devices

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19© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

STB

Con

ditio

nal

Acc

ess

Tune

rContent acquisition &aggregation

Contentdelivery

EPG

, VO

D

DVR

Contentproduction

3rd party TV content

production

TV listings

Advertisingcontent

production

BroadcastersCable networks

Listing aggregator Face

book

TV

TV

CE manu.

Social TV service – Device Personalization

PC

Cellphone

Cable operator

Cable operatorCable operator

Cable operator

Advertisers

InternetAccess ISP

Content acquisition &aggregation

Contentproduction

Widget Developers.

“deliver ‘my’ content to ‘my’ device of choice, whenand where ‘I’ want it.” NK, MJM, Social TV White Paper

Q: What do these trends broadly imply?A: Higher Switching Cost (?), Higher indirect Network Effect (?)

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20© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Model Lessons: Switching Costs

Higher the switching costs the longer the incumbent retains the market.Longer retention buys time to reorient resources.

Adopters200 M

150 M

100 M

50 M

0 4 4

4

4

4 4

1

1

1

11

1 1

0 24 48 72 96 120 144 168 192 216 240Time (Month)

Uni

t

Adopters[Incumbent] : Active Base Case 1 1 1 1 1

Adopters[Entrants] : Active Base Case4 4 4 4 4 4

5 5

5 55 5

2

22

22 2 2

Adopters[Incumbent] : Switching Cost Exogenous Lo 2 2 2 2

Adopters[Entrants] : Switching Cost Exogenous Lo 5 5 5 5

6 6

6

66

6

3

33

33

33

Adopters[Incumbent] : Switching Cost Exogenous Hi3 3 3 3 3

Adopters[Entrants] : Switching Cost Exogenous Hi 6 6 6 6

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21© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

What does the device personalization mean?

Who captures value (enjoys higher customer retention) dueto device personalization?– Content Producer (?)– Content Acquisition / Aggregator (?)– Content Delivery (Provider) (?)– Device Manufacturer (?)– Social Network Sites (?)

How do they monetize the customer acquisition/retention?

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

The Rise of the Virtual Network

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23© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

STB

Con

ditio

nal

Acc

ess

Tune

rContent acquisition &aggregation

Contentdelivery

EPG

, VO

D

DVR

Contentproduction

3rd party TV content

production

TV listings

Advertisingcontent

production

BroadcastersCable networks

Listing aggregator

InternetAccess ISP

Profile creation

Social graph creationPresence & availability management

Facebook

Face

book

TV

TV

CE manu.

InternetAccess ISP

Social TV service – via the Virtual Operator

PC

Cellphone

Cable operator

Cable operatorCable operator

Cable operator

Advertisers

Content aggregationShared viewingTargeted advertising

FBTV service transactions

Content acquisition &aggregation

Contentproduction “performing a more personalized

or customized version of theprogramming function, basedon the viewing habits of theuser’s peer group.”NK, MJM, Social TV White Paper

Q: What do these trends broadly imply?A: Lower switching cost, and lower network effects for the incumbent

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24© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Model Lessons: Network Effect

Adopters200 M

150 M

100 M

50 M

0 4 4

4

4

4 4

1

1

1

11

1 1

0 24 48 72 96 120 144 168 192 216 240Time (Month)

Uni

t

Adopters[Incumbent] : Active Base Case 1 1 1 1 1

Adopters[Entrants] : Active Base Case4 4 4 4 4 4Adopters[Incumbent] : Network Effect Hi 3 3 3 3 3

3

3

3 3 3 3 3

6 6 6 6 6 6

Adopters[Entrants] : Network Effect Hi 6 6 6 6 6

With network effects the equilibrium can be winner take all (WTA). The strength of network effect determines the winner

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25© 2008 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

What does the rise of the virtual operator mean?

If the virtual operator offers attractive customizedprogramming, and matches other performance parametersof the traditional operator, this erodes both…- the ability to retain customers- the indirect network effect on advertising

…then there is higher potential for industry disruption.

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© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology

Thank You!

Chintan [email protected] Systems DivisionMassachusetts Institute of Technology


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