Supporting the selection of Open Innovation software tools

In this paper, we present a Web Mining exploratory approach to establish a comparative selection of current Open Innovation (OI) software tools. The starting point of this study relates to "ELLIOT" European project (FP7 ICT) that aims to develop an Internet of Things (IoT) experiential platform involving citizens and users from the early stage of idea creation to the further implementation of innovative IoT applications and services. In this project, one of the objectives is to help the citizens exchanging ideas and co-creating new green services based on environmental data. For this purpose, we develop an exploratory assessment approach based on the QSOS method to elaborate a feature grid in order to support the selection of OI Tools. We find that most of the related works focus on theories about innovation process or product life cycle to classify OI Tools. Our approach combines web mining techniques to finally instantiate the first QSOS reference criteria template dedicated to OI Tools.