Technology life cycle analysis: From the dynamic perspective of patent citation networks
Ying Huang,
Ruinan Li,
Fang Zou,
Lidan Jiang,
Alan L. Porter and
Lin Zhang
Technological Forecasting and Social Change, 2022, vol. 181, issue C
Abstract:
Technology development is a blend of inheritance and innovation that follows certain rules along a technology trajectory. This trajectory charts a technology's evolution and is among the best-supporting data for decision making. Technology life cycle (TLC) analysis, as one of the foundational topics in the field of technology management, is of vital importance for describing the evolutionary path of technology. However, most current methods simply rely on static patent indicators, which neglect the dynamic aspects of a technology's development. To overcome this limitation, we propose a framework of diverse characteristics and novel procedures for identifying the entire span of a technology's life cycle from a series of patent citation networks. After retrieving patent data with a well-defined search strategy, a sequence of patent citation networks is constructed year by year. Network attribute indicators are then calculated for each of the networks and used to inform an evolution model, which reveals the TLC. To illustrate the strengths and potential of this approach, we have taken additive manufacturing technology as an example for analysis. Through the framework, we are able to demonstrate the technology at various stages of its maturity and how it has changed over time, along with some areas of competitive advantage and promising future opportunities.
Keywords: Technology evolution; Technology life cycle; Patent citation network; S-shape; Additive manufacturing (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162522002852
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:181:y:2022:i:c:s0040162522002852
DOI: 10.1016/j.techfore.2022.121760
Access Statistics for this article
Technological Forecasting and Social Change is currently edited by Fred Phillips
More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().