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INFORMATION CASCADES IN THE ADOPTION OF NEW TECHNOLOGY

Posted

By Walden and Browne
Abstract
This work presents a theory of information cascades, based on the work of Bikhchandi, Hirschleifer, and Welch
(1992), to explain fad-like behavior in the adoption of new technology. An information cascade occurs when
an individual ignores his or her own private signal about the value of a technology and relies, instead, upon
the observed actions of others. This can lead to serious problems if the observed actions in question are based
on still other observed actions rather than private signals. The present research provides an operational model
to assess information cascade theory and empirically tests the model in the context of the adoption of electronic
commerce technologies. The results suggest that information cascades play a large role in the adoption of such
technologies.
Created:Sun, 24 Oct 2004 11:35:04 GMT

Original: http://jondron.net/cofind/frshowresource.php?tid=5325&resid=544
Posted: October 24, 2004, 5:35 am

Conversation, Observational Learning, and Informational Cascades

Posted

H. Henry Cao and David Hirshleifer
Abstract
We offer a model to explain why groups of people sometimes converge upon poor decisions
and are prone to fads, even though they can discuss the outcomes of their choices.
Models of informational herding or cascades have examined how rational individuals learn
by observing predecessors’ actions, and show that when individuals stop using their own private
signals, improvements in decision quality cease. A literature on word-of-mouth learning
shows how observation of outcomes as well as actions can cause convergence upon correct
decisions. However, the assumptions of these models differ considerably from those of the
cascades/herding literature. In a setting which adds ‘conversational’ learning about both
the payoff outcomes of predecessors to a basic cascades model, we describe conditions under
which (1) cascades/herding occurs with probability one; (2) once started there is a positive
probability (generally less than one) that a cascade lasts forever; (3) cascades aggregate
information inefficiently and are fragile; (4) the ability to observe past payoffs can reduce
average decision accuracy and welfare; and (5) delay in observation of payoffs can improve
average accuracy and welfare.
Created:Sun, 24 Oct 2004 11:32:19 GMT

Original: http://jondron.net/cofind/frshowresource.php?tid=5303&resid=543
Posted: October 24, 2004, 5:32 am