© 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
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?
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.”
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
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
The Disruption Model
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
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
-
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
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
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
The P2P Networking of STB
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
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?
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
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.
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
The Integration of Social Networks
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
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
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)?
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
The Personalization of Devices
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 (?)
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
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?
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
The Rise of the Virtual Network
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
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
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
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.
© 2004 Chintan Vaishnav, Engineering Systems Division, Massachusetts Institute of Technology
Thank You!
Chintan [email protected] Systems DivisionMassachusetts Institute of Technology