Business & Management Studies

Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories

Patent analysis based technology innovation assessment with the lens of disruptive innovation theory: A case of blockchain technological trajectories

This study aims to identify the technology trajectory and evolution phases of disruptive technology, Blockchain, with respect to its predecessor technologies.

Authors

Priyanka C. Bhatt, Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan.

Kuei-Kuei Lai, Department of Business Administration, Chaoyang University of Technology, Taichung, Taiwan.

Vinayak A. Drave, Assistant Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India.

Tzu-Chuen Lu, Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan.

Vimal Kumar, Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan.

Summary

The technological innovation period has reduced drastically in the current era giving rise to constantly new disruptive technologies, which may seem discreet; however, their evolution is also derived from the previous technological path. This study aims to identify the technology trajectory and evolution phases of disruptive technology, Blockchain, with respect to its predecessor technologies. Within the context of disruptive innovation theory, patent citation analysis employing the key-route main path method was utilized for this study.

The data collection was based on keywords and IPC codes to retrieve US patents from the webpat database. The data obtained included 10,919 initial patents and 6206 final patents after simple family merge. The results acquired ranged from the year 1974 to 2021.

The study identified five significant technology clusters based on the key-route main path analysis and framed the evolution path of the technology. The findings reveal the technological path dependence and knowledge flow of technological innovation.

The novelty of this study lies in its approach to mapping DI theory characteristics with patent analysis to identify the path dependence of disruptive innovations, which aids researchers and decision-makers in understanding and assessing their innovation strategies.

Published in: Technological Forecasting and Social Change

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