Modelo de Identificação de Ideias para Suporte a Tomada de Decisão (Idea Identification Model to Support Decision Making)

Marina Carradore Sérgio (, João Artur de Souza (, Alexandre Leopoldo Gonçalves (

1Universidade Federal de Santa Catarina

This paper appears in: Revista IEEE América Latina

Publication Date: May 2017
Volume: 15,   Issue: 5 
ISSN: 1548-0992

Innovation is not a trivial process and ideas are the raw material of this process. Oriented systems to idea management domain seek to identify and develop effective and efficient ideas. However, there are challenges such as information overload with ideas submissions peaks and trivial description of collecting ideas, thereby making the process of selection and identification of relevant ideas. By using clustering techniques can bring together groups of like-minded and easy viewing of information. The objective of this study is to present an ontology-based model and cluster analysis to support the Idea Management, to contribute in the decision making process. The demonstration of feasibility of the proposed model was through the development of a prototype. The prototype was used in both study scenarios using ideas collected on the websites of Starbucks® and Dell® companies. It was found that when analyzing groups of similar ideas, patterns and trends can be highlighted. As a result presents a model to assist in decision making and in the process of identification and selection of ideas for implementation.

Index Terms:
Idea Management, Cluster Analysis, Ontology, Innovation   

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