Home // COLLA 2014, The Fourth International Conference on Advanced Collaborative Networks, Systems and Applications // View article
Authors:
David Bobles
Graham Horton
Jana Goers
Keywords: Innovation; Dynamic Interaction Design; Idea Selection; Acceptance; Group Evaluation; Collaboration.
Abstract:
In order to maintain competitiveness, companies must constantly find new and better business ideas. They use innovation processes for managing idea generation and implementation. This process involves the employees that will be responsible for the implementation of these ideas, and the success of an innovation venture depends on their motivation. Especially during the first idea phase there is a high risk of making an evaluation error, which may reduce acceptance of the result and consequently also motivation. The authors have previously developed the so-called threshold group idea selection algorithm, which although fast suffers from a less-than optimal acceptance by the group. In this paper, we assume that acceptance depends on the understanding of how a selection is achieved by the group. We therefore created a dynamic, web-based interaction design for the algorithm that visualizes the effects of decisions made during the collaborative selection process. We applied basic visualization principles and chose appropriate input devices for different types of collaboration phases. Our findings indicate that the acceptance level of the improved threshold algorithm achieved nearly the same acceptance as the commonly used, but significantly more expensive group discussion method.
Pages: 52 to 61
Copyright: Copyright (c) IARIA, 2014
Publication date: June 22, 2014
Published in: conference
ISSN: 2308-4227
ISBN: 978-1-61208-351-3
Location: Seville, Spain
Dates: from June 22, 2014 to June 26, 2014