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Reputation management:
Building trust among virtual strangers
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Executive Technology Report is
written by Peter Andrews, Consulting Faculty, IBM Business
Institute, and is published as a service of IBM Corporation. Visit
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Executive technology report
September 2006
Author: Peter Andrews
pja@us.ibm.com
Innovation Strategist, IBM Executive Business Institute
17 November 2007
Executive
summary
Trust is essential to efficient
business activities, but it doesn’t come naturally in an online
environment. By setting up the right systems of feedback and
ratings, it’s possible to create environments where participants
feel safe to buy, sell and work together.
In this Executive
Technology Report, Peter Andrews, Consulting Faculty Member
at the IBM Executive Business Institute, interviews Claudia
Keser. Claudia is a Research Staff Member in the workforce
optimization group of the IBM Mathematical Sciences Department.
She collaborates with IBM Global Business Services, doing
workforce analytics for IBM clients and bringing more rigor into
the statistical data analysis. Her research background is in
economics, specifically in experimental game theory/behavioral
economics, with a focus on issues of trust, cooperation and
incentives.
Peter Andrews Could
you explain what “reputation management” is and provide an
example?
Claudia Keser Reputation
management, or a reputation system, is a way to maintain trust in
online communities, where we anonymously interact with people that
we might have never met, not even heard of, and that we might
never meet again. This is achieved by the provision of information
about past performance. To be somewhat more precise, [with] a
definition given by Paul Resnick et al., it is a system that
collects, distributes and aggregates feedback about past
behavior.
A famous example is
eBay's Feedback Forum, where after each transaction the parties
involved may evaluate each other. Such a reputation system plays a
double role. The first is to enable trade by making trade safer
and increasing participants' trust. The second role is in
promoting satisfactory trade and increasing participants'
trustworthiness.
Do you want me to
elaborate on eBay's Feedback Forum?
Peter Andrews Since
it's a familiar example, that would be a great way to illustrate
some of the tools and methods of reputation management.
Claudia Keser The
participants in a transaction are allowed to rate each other by
submitting a comment and a rating. The rating takes one of three
values: "+1" for a positive comment, "-1" for
a negative comment and "0" for a neutral comment. All
ratings that an eBay user receives from distinct other users are
summed up into a Feedback Rating Number. This number is attached
to each user ID. A user who accumulates 388 positive and no
negative comments has a Feedback Rating of 388. But a user with
759 positive and 371 negative comments has the same Feedback
Rating. The Feedback Rating is part of the user's Feedback
Profile, which can be obtained by clicking on his Feedback Rating.
It provides the full list of textual comments (received from
buyers and sellers, and given to others), the distribution of all
previous ratings received from distinct users, the percentage of
positive ratings, as well as the distribution of recently received
ratings over the past seven days, past month and past six months.
Peter Andrews What
are some of the benefits of a reputation management system like
eBay's?
Claudia Keser If
we had no reputation management in an online market like eBay, we
would most likely have a "market for lemons" problem.
Since typically there is no opportunity for inspection, we could
not distinguish between sellers offering good or bad quality.
Thus, buyers would be reluctant to pay high prices so that more
and more of the high-quality sellers would leave the market. In
the end, there would remain only the "lemons" on the
market, and nobody would want to buy there. With reputation
management, as has been shown in many studies, sellers with high
reputation obtain higher prices. Reputation management mitigates
the lemons problem.
In my own research,
I've shown in a very controlled laboratory environment, using the
method of experimental economics, that reputation management
significantly increases both buyers' trust and sellers'
trustworthiness and, thus, increases the volume of trade.
Reputation management provides information to buyers and
encourages the recipients of positive information to trust more.
Also, the attribution of negative reputation may work as a
sanctioning mechanism to punish dishonest behavior by sellers,
which makes the owner of reputation behave in a more trustworthy
way.
Peter Andrews Can
this be applied beyond buying and selling? For instance, can it be
used to facilitate the formation of teams? Making the Internet
safer for kids?
Claudia Keser Yes,
this is actually applied in environments such as Epinions.com
a Web site which provides opinions/reviews about goods. Other
examples include Slashdot.org,
a technology-related news Web site with user-submitted summaries
of news and comments, and Advogato.org,
an online community for free software development. Interestingly,
in those environments, much more complex reputation systems are
used. A lot of research is going on in designing such
systems.
The formation of teams
could certainly be facilitated by reputation information. [But]...
I might not be happy about evaluating my colleagues at IBM
Research. We are talking about virtual environments where I might
have no other way to gather information about anonymous users. A
company is not like the Internet. I can easily get information,
for example, about my colleagues in the China Research Lab. As a
human resources person, I would be concerned. I believe that
reputation management among people who know each other in person
and frequently interact can do more harm than good for teamwork.
Peter Andrews There
are, of course, privacy and other concerns. Which brings up
another question: what ARE some of the issues around reputation
management? The challenges to designing a good system?
Claudia Keser Going
back to eBay, there are several issues:
-
Feedback is a
public good; to speak like an economist, users have an
incentive to take a free ride on the evaluations given by
others. I believe I've read somewhere that about 50 percent of
the traders provide feedback.
-
We observe hardly
any negative comments, less than 1 percent, I think. The major
reason might be fear of retaliation. A seller might punish a
buyer who gave him a negative evaluation by doing the same,
whether justified or not. To date, eBay uses a unique feedback
rating number, aggregating information received both as buyer
and seller, although the verbal comments are split up.
-
Strategic behavior
is hard to detect. For example, since the ratings are not
weighted by monetary importance of the transaction, it is easy
to build up a positive reputation by buying or selling a large
number of cheap items, maybe even trade with friends, then
boom, come up with very expensive items to sell ... and not
deliver.
Peter Andrews What
are the elements of a good reputation management system?
Claudia Keser Let
me use here Paul Resnick et al. again. They identify three basic
principles:
-
Entities in the
system must be long-lived enough to establish an expectation
of future interaction.
-
Feedback
concerning current interaction is elicited and distributed and
must be visible in the future.
-
Feedback must have
influence over the actions/trust of entities in the future.
The elicitation and
distribution of feedback provide challenges. Research still needs
to be done in this area. This is where my paper in the IBM Systems
Journal comes in, where I suggest using the experimental economics
lab... Want to hear about this?
Peter Andrews Absolutely.
Please say a bit about how you use the lab to explore the
possibilities of reputation management.
Claudia Keser I
used a very simple abstract game that allows us to measure the
trust of one player (the buyer) and the trustworthiness of another
player (the seller). I applied this trust game to measure the
effect of an eBay-like reputation system in an environment where
"strangers" interact with each other in one-time
encounters. These “strangers” were student participants who
came to the experimental economics laboratory, where they sat in
isolated cubicles to make decisions at a computer, not knowing the
other participants with whom they interacted. They knew that they
would not interact more than once in a row with the same
person.
I could not only show
that reputation management significantly increases trust and
trustworthiness compared to a situation without reputation
management, but also that the levels of trust and trustworthiness
are as high as those obtained in environments where
"partners" – always the same two anonymous players–
interact with each other. Interestingly, with reputation
management, the high levels can be maintained up to the very last
round of interaction, when they significantly drop. (This is a
very typical effect observed in experimental economics,
cooperation breaks down when people know that the game ends.) In
contrast, the trust level tends to continuously decline over time
in the partners’ interaction.
I also started to
examine design issues of reputation management systems, examining
different information situations. Providing buyers only with the
most recent feedback given to the seller they are currently
interacting with is enough to significantly increase trust and
trustworthiness. However, providing the entire history, that is
the distribution of all previous ratings, turns out to be more
efficient.
The experimental
economics method could be used to examine many more design issues.
For example, would we observe a larger number of bad evaluations
if we use a 1-to-5 scale rather than a negative-neutral-positive
scale? ... and many others.
Peter Andrews Now,
I noticed that, in this framework, buyers’ benefits seem
asymmetric. Is this a source of concern? If so, do you have any
ideas on how to get things into balance?
Claudia Keser When
we look at the trust game that I used, if there is no reputation
management, trust by the buyers does not pay at all, the sellers
get all of the surplus. (By the way, according to economic theory,
there should be no trade at all in this game.) The reputation
system makes trust pay off for the buyers. This makes them trust
more, [with] more transactions taking place, and both are better
off than without reputation management. Thus, I do not see a
concern.
The payoffs become
more equitable. (I could talk now for hours how people like
equitable outcomes, even in situations where it is obviously bad
for growth.)
Peter Andrews Could
you talk a bit about the implications for low-trust societies and
their participation in the global economy? Would reputation
management help?
Claudia Keser Individuals
in high-trust societies spend less money and effort to protect
themselves from being exploited in economic transactions. In other
words, trust economizes on transaction costs. It has been
empirically shown that differences in trust across countries help
explain differences in investment and economic growth. In a study
with Hai Huang, Jonathan Leland and Jason Shachat, we have shown
that the level of trust is likely to have an additional indirect
impact on economic growth through an impact on the Internet
adoption. Assuming that the Internet will positively affect
productivity, low-trust countries, most of which tend to be of low
and middle income, are doubly penalized in terms of economic
growth. First, they are penalized for low trust in terms of
investment and growth impact, and then again through lower
adoption of growth-enhancing technologies.
Reputation management
can probably alleviate the problem to some extent, although we
first need to get the people to use the Internet at all. The issue
of trust in a society is complex. Francis Fukuyama argues, based
on historical analysis, that individuals in some societies are
more naturally led to trust each other due to their cultural,
institutional and religious heritage.
Peter Andrews It's
often said that trust is gained over time and lost in an instant.
From your studies, do you have any insights on this old adage?
Claudia Keser In
our studies, we do not find evidence for this. Buyers tend to look
more at long-run reputation than at short-run reputation when the
former is available. Thus, a single misstep would not ruin the
trust in a person...
Trust needs certainly
a longer time to be built up than to be lost, but in general it is
not lost instantaneously. If this were the case, I would not, for
example, use my credit card any more.
I would say that we
still know relatively little about the design of efficient
reputation management. We observe on some sites the design of very
complex systems that deal with some of the evident issues, but
they seem pretty difficult to understand. I have doubts about
their impact on behavior if they are too complex, just a black
box. I think we should keep them simple, but there are still many
open questions, such as how best to present the information to the
users, the effect of using different scales or multidimensional
ratings, etc. And, since more and more market places are created,
there are potentially many more applications for reputation
management.
Related resources
Keser, Claudia. “Experimental
games for the design of reputation management systems.” IBM
Systems Journal. Vol. 42, No. 3, 2003.
Resnick, Paul, Richard Zeckhauser, Eric Friedman and Ko Kuwabara.
“Reputation systems.” Communications of the ACM, 2000, Vol.
43, No. 12, 45-48.
Huang, Hai, Claudia Keser, Jonathan Leland and Jason Shachat. “Trust,
the Internet, and the digital divide.” IBM Systems Journal. Vol.
42, No. 3, 2003.
Fukuyama, Francis. Trust: The Social Virtues and the Creation of
Prosperity, New York: Free Press, 1995.
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Peter
Andrews is
an innovation strategist and consulting faculty member at IBM's
Executive Business Institute. He has spent a career bridging the
gap between the technical potential and the bottom line. He is the
author of over 100 articles on innovation, emerging technology and
leadership, and his Executive Tech Reports are featured monthly on
the IBM services Web site. Andrews consults and holds workshops
both within IBM and externally. He uses a variety of techniques to
probe, extend and validate the opportunities presented by new
technologies. He has helped banks, insurance companies,
manufacturers and retailers develop their own capabilities to take
a fresh look at emerging technologies, come to a common
understanding of their value and take practical steps to exploit
them. Notably, he has held innovation workshops with over 100 IBM
Researchers worldwide that have helped them to determine the
business implications of their inventions, recognize possible
sponsors and create value propositions. Andrews has been actively
involved in research and working at the leading edge for his
entire career. His participation is always in demand for IBM
Academy studies, and he is a popular presenter on the future, most
recently as the closing keynote speaker for KMWorld 2006. He can
be contacted at pja@us.ibm.com,
New York (845) 732-6095 and http://www.ibm.com/ibm/palisades
Short summary
Managing reputation amongst individuals who interact infrequently
or for only a few times can greatly enhance an organisation's
reputation and bottom line, but would be used with caution amongst
more regular team members..
Keywords and relevant phrases
cooperation, feedback, incentive, online environment,
participation, rating, reputation management, reputation system,
teamwork, trust,
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