Abstract

Organizations use innovation contests to enable crowdsourcing for open innovation. While the crowd is able to generate large amounts of ideas in such contests, the challenge shifts to subsequent idea selection. This study systematically reviews the selection mechanisms that the literature has so far discussed for this purpose. Findings are structured using an analytical framework along selection process phases of preprocessing, shortlisting, selecting finalists as well as according to whether the crowd, small teams, automated or hybrid combinations of agents perform the selection. An agenda for further research is proposed based on these findings, emphasizing the need for research on selection mechanisms to process crowdsourced ideas.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.