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