new york computer science & economics day, nov 9, 2009 1 dynamics of network technology...
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New York Computer Science & Economics Day3 One (out of many) Motivating Example Two competing video-conf service offerings Incumbent: Low-def video (has low quality, low price) Entrant: High-def (has high quality, high price) Technology characteristics User value depends on who they can reach –Higher externality benefits for High-def than for Low-def Gateways/converters can allow inter-operability with some limitations –Simplex, asymmetric, unconstrained »Asymmetric: encoding is hard, decoding is easy »Low-def subscribers can display high-def signals but not generate them Modeling the evolution and outcome of technology competitionTRANSCRIPT
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New York Computer Science & Economics Day, Nov 9, 2009
1
Dynamics of Network Technology Competition
The Role of Gateways
Soumya Sen
Dept. Elec. & Sys. EngUniversity of Pennsylvania
Technical Report: “Modeling the dynamics of network technology adoption and the role of converters”, http://repository.upenn.edu/ese_papers/496/
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New York Computer Science & Economics Day 2
Acknowledgements• Joint work with:
Youngmi Jin (Penn, ESE)Roch Guerin (Penn, ESE) Kartik Hosanagar (Penn, Wharton)
• In collaboration with:Andrew Odlyzko (U. Minn)Zhi-Li Zhang (U. Minn)
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New York Computer Science & Economics Day 3
One (out of many) Motivating Example• Two competing video-conf service offerings
• Incumbent: Low-def video (has low quality, low price)• Entrant: High-def (has high quality, high price)
• Technology characteristics• User value depends on who they can reach
– Higher externality benefits for High-def than for Low-def• Gateways/converters can allow inter-operability with some limitations
– Simplex, asymmetric, unconstrained» Asymmetric: encoding is hard, decoding is easy» Low-def subscribers can display high-def signals but not generate them
• Modeling the evolution and outcome of technology competition
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Model• Users individually continuously evaluate their technology choice
• Decision based on technology utility
Technology 1: U1(,x1,x2 ) = q1+(x1+α1β x2) – p1
Technology 2: U2(,x1,x2) = q2+(βx2+α2x1) – p2
• User decisions are rational (but myopic – based on current adoption)– No technology if U1< 0, U2< 0
– Technology 1 if U1> 0, U1> U2
– Technology 2 if U2> 0, U1< U2
• Adoption dynamics can be captured with a standard diffusion model– Main complexity is keeping track of combinations of decision regions
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What can this model achieve?
• Identify feasible combinations of possible equilibria
• Characterize diffusion trajectories
• Insight into possible adoption patterns can be extracted from the solution
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New York Computer Science & Economics Day 6
Key Findings• Gateways can introduce instabilities
(“boom and bust” cycles)• Impossible without gateways
• Gateways create unpredictable outcomes• Allow inferior technologies to persist• Can hurt or help the incumbent• Can hurt or help overall market penetration
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Example 1: “Boom & bust Cycles”(From Stable to Unstable- Asymmetric Gateways)
• As the efficiency of Tech. 1 gateway increases, system goes from dominance of Tech. 2 to a system with no stable state– No stable equilibrium for 1=1 and 2=0
x1: Fraction of Technology 1 adopters, x2: Fraction of Technology 2 adopters
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New York Computer Science & Economics Day 8
Example 2: Hurting Overall Market (Asymmetric Gateways – Entrant)
• Tech. 2 fails to gain market share without gateways• Tech. 2 introduces gateways of increasing efficiency
– Tech. 2 gains market share, but at the cost of a lower overall market penetration