Lead users: a source of novel product concepts
Management Science
A new approach based on soft computing to accelerate the selection of new product ideas
Computers in Industry
Model-driven decision support systems: Concepts and research directions
Decision Support Systems
Mining product maps for new product development
Expert Systems with Applications: An International Journal
Is this brand ephemeral? A multivariate tree-based decision analysis of new product sustainability
Decision Support Systems
Review: Neural networks and statistical techniques: A review of applications
Expert Systems with Applications: An International Journal
Designing a decision-support system for new product sales forecasting
Expert Systems with Applications: An International Journal
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Automatic vandalism detection in Wikipedia
ECIR'08 Proceedings of the IR research, 30th European conference on Advances in information retrieval
A systematic framework for evaluating design concepts of a new product
Human Factors in Ergonomics & Manufacturing
A research agenda for computing developments associated with innovation pipelines
Computers in Industry
A logistic regression-based smoothing method for Chinese text categorization
Expert Systems with Applications: An International Journal
Text categorization algorithms using semantic approaches, corpus-based thesaurus and WordNet
Expert Systems with Applications: An International Journal
A dynamic decision support system to predict the value of customer for new product development
Decision Support Systems
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Capabilities of a four-layered feedforward neural network: four layers versus three
IEEE Transactions on Neural Networks
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Companies willing to introduce radical innovations have to face the tough task of correctly evaluating manifold aspects concerning the lifecycle of the new products to be launched. In such a circumstance severe difficulties arise because, at the very beginning of the design process, project teams own limited and unreliable information about the performances viable to positively impact value for customers and consequently the commercial success. The present paper suggests an original approach for the anticipatory assessment of the expected market appraisal of a new product profile. The proposed ''Value Assessment Metrics'' (VAMs) is a tool to estimate the success potential of a new artefact through a balance of its functionalities and features with respect to the alternatives existing in the market. The metrics are defined through an induction process from a large collection of successful innovations and market failures. After reporting the methodological approaches adopted to build the VAMs, the first based on Logistic Regression, the second on Neural Networks, the paper presents their preliminary validation and two example applications to the proposition of an innovative lipstick and a concealed hinge.