Begin forwarded message:
> From: Kathleen Carley <[log in to unmask]>
> Date: Thu Jan 2, 2003 10:49:45 PM Europe/London
> To: [log in to unmask]
> Subject: Deadline Extended: Learning in Dynamic, On-line Environments
> Here is a revised Call for Papers for a special issue of CMOT on
> Learning In Dynamic, On-line Environments.
> Call for Papers: Special Issue of Computational and Mathematical
> Organization Theory on Learning in Dynamic, On-line Environments
> Due to author requests, we have extended the deadline from November,
> New submission deadline: January 15, 2003
> 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
> ([log in to unmask]). To submit a paper for consideration in the
> special issue, please send five copies to:
> Melissa Andersen
> Special Issue: Learning in Dynamic, On-line Environments
> Editorial Office
> Kluwer Academic Publishers
> 101 Phillip Drive
> Norwell, MA 02061, U.S.A.
Professor Nigel Gilbert, FREng, AcSS, Pro Vice-Chancellor and Professor
Sociology, University of Surrey, Guildford GU2 7XH, UK. +44 (0)1483