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Groups and decision makers are increasingly running headlong into complexity as interconnections and interdependenciesbetween 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.

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Abstract

This paper examines a convergence process of organizing ideas that are generated during collaborative idea generation activities. The method presented reduces the impact of organizing brainstorming ideas on individual participants by dividing the convergence activity into smaller, discrete tasks that can be completed individually, and in parallel, by the participants. The entire pool of brainstorming ideas is subdivided into smaller pools and each participant is then tasked with organizing one of the subsets of ideas. The results show that by dividing up the overall activity into subtasks, the subjects experienced a more favorable environment. Furthermore, the subjects were able to work through their subset of ideas and produce results that were similar to those performing the full sort of the entire pool.