The 1990s have witnessed a vast growth of research on the topics of
trust and learning. This can be explained by the profound
technological and organizational changes that have made both
inter-and intra-firm trust indispensable for sustaining the forms
of learning that underlie successful competitive performance.Trust
and Economic Learning brings together innovative research by an
internationally recognized group of scholars from Europe and the
United States. The distinction between trust and a variety of
related concepts, including reputation, implicit contracts and
confidence is examined. The links between learning and trust are
then explored using a number of original empirical contributions
and theoretical approaches including an adaptation of game theory,
Marengo's computational model of organizational learning and the
'step by step' rule developed by Lazaric and Lorenz. In addition,
Bayesian learning models are compared with evolutionary approaches
based on tools of artificial intelligence to evaluate the
preconditions for establishing trust. This unique volume will be a
highly useful companion to traditional graduate-level texts in
industrial organization. It constitutes a valuable source of
knowledge for practitioners and policymakers alike. It will also be
of interest to scholars interested in evolutionary and
institutional economics, technology and innovation and
international business.
General
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