A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
Research on Innovation: A Review and Agenda for Marketing Science
Marketing Science
Measuring the uniqueness and variety of analog circuit design features
Integration, the VLSI Journal
An approach to quantitatively measuring collaborative performance in online conversations
Computers in Human Behavior
Brainstorming reconsidered in computer-mediated communication and group support system context
Proceedings of the Workshop on Information Systems and Design of Communication
Supporting product design by anticipating the success chances of new value profiles
Computers in Industry
International Journal of Measurement Technologies and Instrumentation Engineering
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In view of the distressingly low rate of success in new product introduction, it is important to identify predictive guidelines early in the new product development process so that better choices can be made and unnecessary costs avoided. In this paper, we propose a framework for early analysis based on the success potential embodied in the product-idea itself and the circumstances of its emergence. Based on two studies reporting actual introductions, we identified several determinants (such as how the ideas originated, their specific configurations, and the level of technology required for their implementation) that significantly distinguish successful from unsuccessful new products in the marketplace. We suggest that these factors, together with already known factors of success/failure, may aid in the estimation of the potential of a concept early in its development.