TEAM-BASED INNOVATION CONTESTS FOR CROWDSOURCING: AN EXPLORATORY STUDY ON IDEACONNECTION PLATFORM

Abstract

Crowdsourcing for innovation contests represents a promising mechanism to access and integrate external ideas. Among various crowdsourcing types, online, team-based contest is one of the most prominent one. The objective of this study is to deepen the understanding of team-based crowdsourcing by exploring specifically the issues that characterise the innovation process of crowdsourcing in a virtual team setting. To empirically pursue this aim, we conducted an interview-based case study leveraging interviews of 106 solvers and 24 facilitators moderating the team of solvers, which have participated in contests through the IdeaConnection crowdsourcing platform. We found that five main issues characterise team-based crowdsourcing competitions: Platform support, Solvers skills, Solver motivation, Solutions, and Performance. Specifically, some of these issues are in line with previous literature investigating individual crowdsourcing competition, while others are novel highlighting the peculiarity of the virtual team setting.