Keywords
dynamic collaboration, problem space complexity, process management, levels of collaboration
Abstract
Groups and decision makers are increasingly running headlong into complexity as interconnections and interdependencies between individuals and organizations continue to grow, decision time horizons shrink and more work is being performed by distributed teams. These factors are driving up overall problem space complexity and limiting the effectiveness of time-tested decision and collaboration processes. Increases in problem space complexity lead to higher equivocality in collaborative processes and associated products. Electronic collaboration support tools and associated process management schemes have proven successful in many challenging contexts. However, current collaboration process management schemes and tools may not be able to effectively handle more complex tasks. We posit that heightened problem space complexity must be addressed with commensurate process and technological support for collaborative efforts. To achieve truly agile collaborative solutions, we propose Dynamic Collaboration – a process management scheme that utilizes group consensus, and process evolution via iterative process alignment and product refinement phases to meet the challenges posed by complexity and equivocality.
Original Publication Citation
"Dynamic Collaboration: Participant-driven Agile Processes for Complex Tasks", Data Base, Edition 2, Volume 42, Pages 95-115, ACM, 2011
BYU ScholarsArchive Citation
Helquist, Joel H.; Deokar, Amit; Meservy, Thomas; and Kruse, John, "Dynamic Collaboration: Participant-driven Agile Processes for Complex Tasks" (2011). Faculty Publications. 9526.
https://scholarsarchive.byu.edu/facpub/9526
Document Type
Peer-Reviewed Article
Publication Date
2011
Publisher
The DATA BASE for Advances in Information Systems
Language
English
College
Marriott School of Business
Department
Information Systems Management
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