A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing

Ying Tang · Xuming Lou · Zifeng Chen · Chengjin Zhang

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Intellectual Property and Patents scientometrics and bibliometrics research Technology Assessment and Management

Abstract

Technology convergence has become a typical characteristic of innovation, which affects the evolution of industrial structures and the core competitiveness of organizations. However, the existing research has mainly focused on the development of core areas of convergence, ignoring the potential breakthroughs that emerging peripheral convergence may bring. Therefore, this research put forward a comprehensive methodology based on IPC (International Patent Classification) co-occurrence analysis to study the dynamic patterns of technology convergence from the perspectives of reinforcing convergence and novel convergence. For the former, convergence trends in each period were explored by using association rules, and the convergence degree was measured based on the number of patents containing different IPC codes. Then, the corresponding core technical fields were identified by using information entropy. For the latter, a community detection algorithm based on IPC co-occurrence network was adopted to investigate the convergence trend by period, and important technology fields were identified by the centrality indicators. The methodology proposed in this study is beneficial for firms to seize technological opportunities in technology convergence.

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References

2001The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools 2015What Is Disruptive Innovation 1963Technological Change in the Machine Tool Industry, 1840–1910 2002When are technologies disruptive? a demand‐based view of the emergence of competition 2003Patent information for strategic technology management 2010Patent indicators for monitoring convergence – examples from NFF and ICT 2014Teams in Pursuit of Radical Innovation: A Goal Orientation Perspective 2016Technology fusion: Identification and analysis of the drivers of technology convergence using patent data

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