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a sharing economy 
torque 
torque 
data 
5th September, 2014 
@Torque Solutions (Australia) Pty Ltd 
Commercial in Confidence 
data
“In the sharing economy, 
you’re 4.9 
or you’re nothing” 
Anon Twitter User
what 
is the 
sharing 
economy? 
A.K.A: Social Lending, The Mesh Economy, Peer-to-Peer Economy, Collaborative Economy, Collaborative Consumption
what 
does it do? 
+ Distributes, shares and reuses excess capacity in goods and services 
+ Participants share access to products or services, rather than having individual ownership 
+ Allows individuals and organizations to directly share existing resources rather than wait 
for third-party businesses or governments to deliver the desired goods and service 
Access is better than ownership.
how are 
we doing it?
how are 
they doing it? 
For these businesses to be able to offer products and services at a discount to mainstream 
competitors… 
They rely on replacing regulation with trust 
Institutionalised Trust (Regulation) is “high-friction”, I.E. labour-intensive and costly
what are 
the rules? 
for the time being, the boundaries of the sharing economy are protected fairly rigidly. for 
example: 
+ If you’ve ever been caught driving more than 20 miles over the speed limit, you can’t rent a car 
on RelayRides 
+ Aspiring Lyft drivers must pass a background and DMV check and get approved by a mentor, 
who judges applicants not just on driving ability but on personality 
+ DogVacay hosts go through a five-step vetting process that includes training videos, quizzes, 
and a telephone interview 
http://www.inc.com/christine-lagorio/sharing-economy-trust-pipe-dream.html
How do we 
avoid risk? 
+ Reputation - Crowd source regulation - Peer-review 
Spreads work and cost 
Increases range of experience (more data points) 
Reduces risk 
+ With a suitable range of peer-review, risk can be reduced to a degree where it is feasible for 
agencies to guarantee user’s products and services 
+ The ability to gather, store, and present large volumes of data makes this possible
to trust 
or not to trust? 
here are some of the problems: 
+ You’re relying on ‘secondary trust’ 
+ The reviews may make you trust the provider, but why should you trust the review? 
Are other people’s expectations / standards the same as yours? 
Do you trust the reviewers opinion? 
What effect does reciprocity in reviews have? 
Opportunists/fraudsters gaming the system 
bought reviews
are peoples standards 
the same as yours? 
35% 
30% 
25% 
20% 
15% 
10% 
5% 
0% 
% Reviews 
1 Star 2 Star 3 Star 4 Star 5 Star 
% Reviews 
60% 4 / 5 star 
netflix user ratings 
120% 
100% 
80% 
60% 
40% 
20% 
0% 
% Reviews 
1 Star 2 Star 3 Star 4 Star 5 Star 
% Reviews 
blablacar user ratings 
99% 5 star 
http://tomslee.net/2013/09/some-obvious-things-about-internet-reputation-systems.html
Reviews: 
Retribution or collusion? 
The tightness and sequence in timing suggest that 
sellers reciprocate positive feedback and ‘retaliate’ 
negative feedback. 
Seller retaliation also explains why more than 70% of 
cases in which the buyer gives problematic feedback and 
the seller gives positive feedback (blue dots in Figure 1), 
involve the buyer giving second – the buyer going first 
would involve a high risk of retaliation. 
http://ben.orsee.org/papers/engineering_trust.pdf
how do you 
combat fraud? 
Transferring existing analysis and modelling experience 
from search and matching to fraud identification 
Built mainly on open source technology and analysis 
tools but how many hours of resource are required? 
http://nerds.airbnb.com/architecting-machine-learning-system-risk/
scale 
and trust. 
+ Small communities leave little room for 
fraudsters and opportunists. 
+ Smaller groups mean greater levels of familiarity 
+ Risk/reward not as great for the effort involved in 
perpetrating fraud 
+ Significant growth means addressing the increased 
risk of fraud through your platform 
Increased “friction” 
Potentially significant development 
+ How do small companies easily address these issues 
without the need for significant investment? 
Service provision? 
BUT 
+ Many sharing economy companies 
are funded via venture capital from 
Start-up 
Venture capital demands fast and 
Significant growth
thank 
you.

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A Sharing Economy

  • 1. a sharing economy torque torque data 5th September, 2014 @Torque Solutions (Australia) Pty Ltd Commercial in Confidence data
  • 2. “In the sharing economy, you’re 4.9 or you’re nothing” Anon Twitter User
  • 3. what is the sharing economy? A.K.A: Social Lending, The Mesh Economy, Peer-to-Peer Economy, Collaborative Economy, Collaborative Consumption
  • 4. what does it do? + Distributes, shares and reuses excess capacity in goods and services + Participants share access to products or services, rather than having individual ownership + Allows individuals and organizations to directly share existing resources rather than wait for third-party businesses or governments to deliver the desired goods and service Access is better than ownership.
  • 5. how are we doing it?
  • 6. how are they doing it? For these businesses to be able to offer products and services at a discount to mainstream competitors… They rely on replacing regulation with trust Institutionalised Trust (Regulation) is “high-friction”, I.E. labour-intensive and costly
  • 7. what are the rules? for the time being, the boundaries of the sharing economy are protected fairly rigidly. for example: + If you’ve ever been caught driving more than 20 miles over the speed limit, you can’t rent a car on RelayRides + Aspiring Lyft drivers must pass a background and DMV check and get approved by a mentor, who judges applicants not just on driving ability but on personality + DogVacay hosts go through a five-step vetting process that includes training videos, quizzes, and a telephone interview http://www.inc.com/christine-lagorio/sharing-economy-trust-pipe-dream.html
  • 8. How do we avoid risk? + Reputation - Crowd source regulation - Peer-review Spreads work and cost Increases range of experience (more data points) Reduces risk + With a suitable range of peer-review, risk can be reduced to a degree where it is feasible for agencies to guarantee user’s products and services + The ability to gather, store, and present large volumes of data makes this possible
  • 9. to trust or not to trust? here are some of the problems: + You’re relying on ‘secondary trust’ + The reviews may make you trust the provider, but why should you trust the review? Are other people’s expectations / standards the same as yours? Do you trust the reviewers opinion? What effect does reciprocity in reviews have? Opportunists/fraudsters gaming the system bought reviews
  • 10. are peoples standards the same as yours? 35% 30% 25% 20% 15% 10% 5% 0% % Reviews 1 Star 2 Star 3 Star 4 Star 5 Star % Reviews 60% 4 / 5 star netflix user ratings 120% 100% 80% 60% 40% 20% 0% % Reviews 1 Star 2 Star 3 Star 4 Star 5 Star % Reviews blablacar user ratings 99% 5 star http://tomslee.net/2013/09/some-obvious-things-about-internet-reputation-systems.html
  • 11. Reviews: Retribution or collusion? The tightness and sequence in timing suggest that sellers reciprocate positive feedback and ‘retaliate’ negative feedback. Seller retaliation also explains why more than 70% of cases in which the buyer gives problematic feedback and the seller gives positive feedback (blue dots in Figure 1), involve the buyer giving second – the buyer going first would involve a high risk of retaliation. http://ben.orsee.org/papers/engineering_trust.pdf
  • 12. how do you combat fraud? Transferring existing analysis and modelling experience from search and matching to fraud identification Built mainly on open source technology and analysis tools but how many hours of resource are required? http://nerds.airbnb.com/architecting-machine-learning-system-risk/
  • 13. scale and trust. + Small communities leave little room for fraudsters and opportunists. + Smaller groups mean greater levels of familiarity + Risk/reward not as great for the effort involved in perpetrating fraud + Significant growth means addressing the increased risk of fraud through your platform Increased “friction” Potentially significant development + How do small companies easily address these issues without the need for significant investment? Service provision? BUT + Many sharing economy companies are funded via venture capital from Start-up Venture capital demands fast and Significant growth