A decision support framework for identifying novel ideas in new product development from cross-domain analysis
作者：
Highlights：
• A systematic framework, not only to satisfy the current customers’ needs by introducing minor innovations but also to generate ideas that assist organizations to capture new customers, is proposed.
• The proposed data centric framework utilises additional information relating to products from either far-field or related domains to generate new ideas in the ideation phase of NPD.
• A thorough literature review of ideation from cross-domain products is presented and the need for a systemized framework is highlighted.
• Our proposed framework, FEATURE, comprising three modules, is then explained. The first module, namely the New Feature Finder, is discussed in detail, along with the experimental results to demonstrate and validate the novel ideas it proposes.
摘要
•A systematic framework, not only to satisfy the current customers’ needs by introducing minor innovations but also to generate ideas that assist organizations to capture new customers, is proposed.•The proposed data centric framework utilises additional information relating to products from either far-field or related domains to generate new ideas in the ideation phase of NPD.•A thorough literature review of ideation from cross-domain products is presented and the need for a systemized framework is highlighted.•Our proposed framework, FEATURE, comprising three modules, is then explained. The first module, namely the New Feature Finder, is discussed in detail, along with the experimental results to demonstrate and validate the novel ideas it proposes.
论文关键词：New product development,Ideation,Sentiment analysis,Feature-drift
论文评审过程：Received 20 March 2017, Revised 6 April 2017, Accepted 9 April 2017, Available online 26 April 2017, Version of Record 8 May 2017.
论文官网地址：https://doi.org/10.1016/j.is.2017.04.003
