A reference-based scoring model for increasing the findability of promising ideas in innovation pipelines

Anbang Xu, Brian P Bailey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Idea pipelines enable open innovation within organizations but require the evaluation teams to assess large numbers of ideas. To help filter promising ideas, community voting is often included as part of the pipeline but the outcome of the voting rarely aligns with the ideas selected by the team. To address this problem, we introduce a new scoring model for increasing the findability of promising ideas within idea pipelines. In the model, each participant need only score a subset of the ideas, ideas are scored independently, and the individual scores can be aggregated. We tested the model on an authentic data set and found our model filters ideas chosen by an evaluation team better than community votes.

Original languageEnglish (US)
Title of host publicationCSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work
Pages1183-1186
Number of pages4
DOIs
StatePublished - Mar 19 2012
EventACM 2012 Conference on Computer Supported Cooperative Work, CSCW'12 - Seattle, WA, United States
Duration: Feb 11 2012Feb 15 2012

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Other

OtherACM 2012 Conference on Computer Supported Cooperative Work, CSCW'12
CountryUnited States
CitySeattle, WA
Period2/11/122/15/12

Keywords

  • idea pipeline
  • innovation
  • reference-based scoring

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Networks and Communications

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  • Cite this

    Xu, A., & Bailey, B. P. (2012). A reference-based scoring model for increasing the findability of promising ideas in innovation pipelines. In CSCW'12 - Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work (pp. 1183-1186). (Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW). https://doi.org/10.1145/2145204.2145380