Using the Collective Intelligence for inventive problem solving: A contribution for Open Computer Aided Innovation
•We propose a conceptual framework for Open Computer Aided Innovation.•Inbound open innovation is enhanced with a systematic approach for creativity.•Incorporation of the logical TRIZ approach to crowdsourcing services.•Gathering Collective Intelligence from participants in inventive problem resolut...
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Published in | Expert systems with applications Vol. 42; no. 23; pp. 9340 - 9352 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
15.12.2015
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | •We propose a conceptual framework for Open Computer Aided Innovation.•Inbound open innovation is enhanced with a systematic approach for creativity.•Incorporation of the logical TRIZ approach to crowdsourcing services.•Gathering Collective Intelligence from participants in inventive problem resolution.
In the industrial context, an interest exists in the collective resolution of creative problems during the conceptual design phase. In this work we introduce an information-based software framework useful to collaborate for inventive problems solving. This framework proposes the implementation of techniques from the Collective Intelligence (CI) research field in combination with the systematic methods provided by the TRIZ theory. Both approaches are centered in the human aspect of the innovation process, and are complementary. While CI focuses on the intelligent behavior that emerges in collaborative work, the TRIZ theory is centered in the individual capacity to solve problems systematically. The framework's objective is to improve the individual creativity provided by the TRIZ method and tools, with the value created by the collective contributions. This work aims to contribute formulating the basis to extend the research field of Computer Aided Innovation, to the next evolutionary step called “Open CAI 2.0”. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0957-4174 1873-6793 |
DOI: | 10.1016/j.eswa.2015.08.024 |