Identifying reuse patterns of novel technologies based on the shape of technology trajectories
Chen, Wen; Ma, Yaxue; Ba, Zhichao; Li, Gang
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https://hdl.handle.net/2142/122843
Description
Title
Identifying reuse patterns of novel technologies based on the shape of technology trajectories
Author(s)
Chen, Wen
Ma, Yaxue
Ba, Zhichao
Li, Gang
Issue Date
2024-03-20
Keyword(s)
Reuse patterns
Novel technologies
Technology components
Technological applications
Abstract
Identifying reuse patterns of novel technologies is crucial for understanding technology diffusion and predicting technologies with a higher potential val-ue. Prior studies predominantly employed S-curves to depict technology re-use. However, the reuse of distinct technologies may demonstrate diverse patterns. Thus, this study attempted to uncover potential technology reuse patterns through a comprehensive cross-domain analysis of technology re-use. We conducted a shape-based clustering analysis on the reuse trajectories of novel technologies that emerged from 1995 to 2020 to identify potential technology reuse patterns. The findings indicate that the trajectories of 39,376 novel technologies exhibit four types of reuse patterns, i.e., s-shaped trajectory pattern, fleeting trajectory pattern, linear trajectory pattern, and ex-ponential trajectory pattern. The robustness of identified patterns was con-firmed through consistency analysis with the clustering results based on Eu-clidean distance. This work contributes to the comprehension of technology reuse and provides insights for forecasting the diffusion and application of novel technologies.
Publisher
iSchools
Series/Report Name or Number
iConference 2024 Proceedings
Type of Resource
Other
Language
eng
Handle URL
https://hdl.handle.net/2142/122843
Copyright and License Information
Copyright 2024 is held by Wen Chen, Yaxue Ma, Zhichao Ba and Gang Li. Copyright permissions, when appropriate, must be obtained directly from the authors.
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