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Idea Selection in Suggestion Systems
Julia K. Froehlich
Martin Hoegl
Michael Gibbert
其他書名
A Thematic Similarity Perspective
出版
SSRN
, 2016
URL
http://books.google.com.hk/books?id=RoHezwEACAAJ&hl=&source=gbs_api
註釋
The literature on the fuzzy front-end of innovation, and in particular on suggestion systems, has focused mainly on organizational aspects and individual characteristics of submitters. We take a different approach and focus on the idea itself. To differentiate different ideas, we build on recent research in cognition that distinguishes two types of similarities: feature-based, taxonomic similarity, and context-based, thematic similarity. We operationalize the type of similarity in terms of idea character ('thematicness') and idea presentation (scenario and experiential proximity) with idea evaluation. Data were obtained from the suggestion system of the research and development department of a multinational manufacturer of consumer goods. We identify significant, positive relationships for all characteristics with idea evaluations. We discuss our findings in the context of bounded creativity approaches, derive theoretical and practical implications, and recommend avenues for future research.
