Conceptualizing the Idea Selection Problem: Building on Insights from a Large-Scale Innovation Contest
|Titel||Conceptualizing the Idea Selection Problem: Building on Insights from a Large-Scale Innovation Contest|
|Jahr d. Veröffentlichung||2014|
|Autoren||Stötzel, M. & Wiener, M.|
|Konferenz||Multikonferenz Wirtschaftsinformatik (MKWI)|
|Publisher||Proceedings of the Multikonferenz Wirtschaftsinformatik (MKWI)|
Web-based innovation contests as a means to engage a community of innovators have become a popular instrument in the past years. While several studies reported on successful idea selection in their cases, we actually were confronted with unexpected difficulties. In order to gain insights into the idea selection problem in large-scale innovation contests with 100 or more ideas, we first develop a conceptual idea selection model and then run Monte-Carlo simulations for 810 idea selection scenarios. Our results not only confirm “common sense” understanding (e.g. more raters better than few, consistent rating better than inconsistent): By using different value distributions we are also able to quantify the effects of certain design parameters in terms of rating performance, which is a new approach compared to previous studies on idea rating and selection. Our findings could thereby help scholars and practitioners to optimize the idea selection process in the future.