Structure and Evolution of Sensor Ecosystem to Forecast Emerging Scientific and Technological Directions

Abstract

How do sensor research and technologies grow over time? This paper applies the network analysis with a new computational approach to map the structure and evolution of sensor research and technologies over a 30-year time frame (1990-2020).The goal of this study is to analyze the evolution of ecosystem in sensor research for forecasting emerging technological trajectories. Results show that the scientific interaction within ecosystem (represented with networks) of sensor generates a co-evolution of research fields supporting the accelerated growth of different technological trajectories, such as: wireless sensors, fiber optic and optical sensors, gas and biosensors. Results suggest main theoretical implications that explain the evolution of sensor research with critical aspects of innovation management to support R&D investments towards new technological trajectories having a high potential of growth.