Call for Papers: Special Issue of Computational and
Mathematical Organization Theory on Learning in
Dynamic, On-line Environments
<see also enclosed pdf file>
Submission deadline: November 15, 2002
Over the past decade, the commercialization of the Internet and
has dramatically increased the opportunities for dynamic
and organizations. Organizations now have the ability to form
with business partners much more rapidly than they have in the
are generally able
to more rapidly reconfigure themselves in response to success
failure in the environment.
Similarly, individuals are able to rapidly consume large amounts
information, more easily
alter relationships, and learn from their experience.
In the past few years, a number of theoretical and empirical
observations have been made
regarding individual and organizational learning in similar
contexts. However, many
issues remain unresolved such as:
1. How well theoretical models of learning in dynamic
correspond to how
organizations and individuals actually learn.
2. The extent to which organizations and individuals acquire
knowledge in dynamic
contexts and ways to aid that learning.
3. The synergy (or lack thereof) between organizational and
learning in these
Papers are sought that identify factors influencing
individual learning in
the types of dynamic environments brought about by the
revolution of the past
ten years. We invite submissions based on diverse methods and
levels of analysis.
We welcome innovative contributions and are especially
papers that combine
computational modeling and empirical data.
All papers will be subject to a rigorous refereeing process.
must not exceed
35 double-spaced pages (in 12 pt type) including all tables and
per the instructions for
authors set forth at http://cmot-special.bus.umich.edu.
regarding the special
issue may be addressed to the guest editor, Bud Gibson
([log in to unmask]). To submit
a paper for consideration in the special issue, please send five
Special Issue: Learning in Dynamic, On-line Environments
Kluwer Academic Publishers
101 Phillip Drive
Norwell, MA 02061, U.S.A.