Comeback kids: an evolutionary approach of the long-run innovation process
Shidong Wang, Renaud Foucart, Cheng Wan

TL;DR
This paper develops a theoretical framework to analyze long-term innovation dynamics, including the revival of old brands and technologies, through extended models of competition and diversification.
Contribution
It introduces novel extensions to logistic and Lotka-Volterra models to capture long-term innovation processes, including incomplete substitutions and diversification.
Findings
Models long-term innovation with multiple substitutions
Allows for diversification and revival of old technologies
Extends classical models to a multidimensional, tree-like structure
Abstract
We provide a theoretical framework to understand when firms may benefit from exploiting previously abandoned technologies and brands. We model for the long run process of innovation, allowing for sustainable diversity and comebacks of old brands and technologies. We present two extensions to the logistic and Lotka-Volterra equations, which describe the diffusion of an innovation. First, we extend the short-term competition to a long-term process characterized by a sequence of innovations and substitutions. Second, by allowing the substitutions to be incomplete, we extend the one-dimensional process to a tree-form multidimensional one featuring diversification throughout the long-term development.
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Taxonomy
TopicsInnovation Diffusion and Forecasting · Firm Innovation and Growth · Business Strategy and Innovation
