Special Issue call for papers

[John Sterman]

This special issue of Computational and Mathematical Organization
Theory may be of interest to many in the system dynamics community.

John Sterman

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Call for Papers: Special Issue of Computational and Mathematical
Organization Theory on Learning in Dynamic, On-line Environments

Full details at: http://cmot-special.bus.umich.edu

Submission deadline: November 15, 2002

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.