Technology Convergence and Its Influence on Innovation Networks: An Assessment of Emerging Trends

AI-age technologies will evolve at an accelerated pace, driven by long-term mutually beneficial symbiosis. Technology convergence will disrupt existing industrial technology fields in general. Assessing and predicting technology convergence will become an important technology management issue in the AI era, providing new clues for distinguishing key technologies in innovation. Existing analytical models prefer to detect retrospective convergence. The role of emerging converging technologies in developing new technologies, generating new applications, and facilitating collaboration and commercialization across different phases is not well understood. In this paper, we build a technology co-occurrence network from the perspective of technology evolution and community detection, analyze and evaluate the emerging technology convergence paths generated by Artificial Intelligence(AI), Blockchain(BC), and Internet of Things (loT) in the field of cybersecurity, and further explore the impact and role of emerging technology convergence in various stages.

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.23919/picmet64035.2024.10653267
Citations
1
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.49

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article

Technology Convergence and Its Influence on Innovation Networks: An Assessment of Emerging Trends

Tuğrul Daim, Edwin Garces, Xiaoyu Wang, Xian Zhang et al.
1 citations
Innovation Diffusion and Forecasting
0.49
article

Technology Convergence and Its Influence on Innovation Networks: An Assessment of Emerging Trends

Tuğrul Daim, Edwin Garces, Xiaoyu Wang, Xian Zhang, Shuying Li, Haiyun Xu, Wudan Ma
article en
1 citations

Abstract

AI-age technologies will evolve at an accelerated pace, driven by long-term mutually beneficial symbiosis. Technology convergence will disrupt existing industrial technology fields in general. Assessing and predicting technology convergence will become an important technology management issue in the AI era, providing new clues for distinguishing key technologies in innovation. Existing analytical models prefer to detect retrospective convergence. The role of emerging converging technologies in developing new technologies, generating new applications, and facilitating collaboration and commercialization across different phases is not well understood. In this paper, we build a technology co-occurrence network from the perspective of technology evolution and community detection, analyze and evaluate the emerging technology convergence paths generated by Artificial Intelligence(AI), Blockchain(BC), and Internet of Things (loT) in the field of cybersecurity, and further explore the impact and role of emerging technology convergence in various stages.

Shandong University of Technology (CN), Portland State University (US), Zhejiang Normal University (CN), National Science Library (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Office for Philosophy and Social Sciences, Youth Innovation Promotion Association
Industry, innovation and infrastructure
Openalex Percentile: Top 31%
Innovation Diffusion and Forecasting
0.49
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Technology Convergence and Its Influence on Innovation Networks: An Assessment of Emerging Trends — Tuğrul Daim, Edwin Garces, et al. · (2024) | TGRS Research Map | TGRS