Improving Collaborative Convergence through Distributed and Parallel Sorting

Author:

Diller Christopher B.R.1,Helquist Joel H.2,Kruse John3

Affiliation:

1. College of Business Administration, University of Nebraska at Omaha, Omaha, NE, USA

2. Utah Valley University, Orem, UT, USA

3. MITRE Corporation, Arlington, MA, USA

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.

Publisher

IGI Global

Subject

Computer Networks and Communications,Computer Science Applications

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