Dominant Design Prediction with Phylogenetic Networks
This addresses a key issue in technology forecasting and new product development for researchers and practitioners, though it appears incremental as it builds on existing phylogenetic network methods.
The study tackled the problem of predicting future dominant designs in technology development by constructing a Fully Connected Phylogenetic Network dataset using machine learning methods combined with product evolutionary theory, resulting in an effective prediction method.
This study proposes an effective method to predict technology development from an evolutionary perspective. Product evolution is the result of technological evolution and market selection. A phylogenetic network is the main method to study product evolution. The formation of the dominant design determines the trajectory of technology development. How to predict future dominant design has become a key issue in technology forecasting and new product development. We define the dominant product and use machine learning methods, combined with product evolutionary theory, to construct a Fully Connected Phylogenetic Network dataset to effectively predict the future dominant design.