Research on the Identification Model of Disruptive Technology in Future Industries-Taking Computer Vision Industry as an Example

The development of future industries relies on the progress of disruptive technologies, while the application and industrialization of disruptive technologies shape the form and direction of future industries. The two complement each other and jointly promote the social and economic transformation and upgrading. By proposing a disruptive technology identification model for future industries and conducting empirical research on the development trends of future industries, this paper aims to provide a reference for the development of our country's future industries. Based on the characteristics of disruptive technologies, this paper proposes technological novelty, technological influence, and technological attention as disruptive indicators, combing the entropy weight method to determine the weight of each indicator, thereby constructing a prediction and identification model for future industry disruptive technologies, which is implemented in the field of computer vision to conduct an empirical research. The future industry disruptive technology identification model constructed in this paper is simple and effective. Through empirical analysis in the field of computer vision technology, the proposed model can effectively identify disruptive technology themes in future industrial fields.

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Published
2024-12-13
DOI
https://doi.org/10.1145/3724154.3724217
Primary Topic
Economic and Technological Innovation
Type
article
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Research on the Identification Model of Disruptive Technology in Future Industries-Taking Computer Vision Industry as an Example

Haichen Zhou, Tingting Jiang, Yinxue Jin, Hongshen Pang
Economic and Technological Innovation
article

Research on the Identification Model of Disruptive Technology in Future Industries-Taking Computer Vision Industry as an Example

Haichen Zhou, Tingting Jiang, Yinxue Jin, Hongshen Pang
article en

Abstract

The development of future industries relies on the progress of disruptive technologies, while the application and industrialization of disruptive technologies shape the form and direction of future industries. The two complement each other and jointly promote the social and economic transformation and upgrading. By proposing a disruptive technology identification model for future industries and conducting empirical research on the development trends of future industries, this paper aims to provide a reference for the development of our country's future industries. Based on the characteristics of disruptive technologies, this paper proposes technological novelty, technological influence, and technological attention as disruptive indicators, combing the entropy weight method to determine the weight of each indicator, thereby constructing a prediction and identification model for future industry disruptive technologies, which is implemented in the field of computer vision to conduct an empirical research. The future industry disruptive technology identification model constructed in this paper is simple and effective. Through empirical analysis in the field of computer vision technology, the proposed model can effectively identify disruptive technology themes in future industrial fields.

Shenzhen University (CN), National Science Library (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Economic and Technological Innovation
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Research on the Identification Model of Disruptive Technology in Future Industries-Taking Computer Vision Industry as an Example — Haichen Zhou, Tingting Jiang, et al. · (2024) | TGRS Research Map | TGRS