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| Technology Opportunities Identification Based on Exponential Random Graph Models |
| Luo Taiye |
| Management College, Zhongkai University of Agriculture and Engineering, Guangzhou 510225 |
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Abstract Identifying technology opportunities in specific fields is an important part of the R&D organizations’ innovation management. This study proposes a new method to identify technical opportunities in specific fields. Based on the combination attributes of knowledge elements (i.e., combination breadth, combination intensity, and combination distance), transitivity, and homogeneity, exponential random graph models are constructed. The probability of combination between knowledge elements is calculated based on the model parameter, and subsequently technical opportunities in the field are discovered. To validate the effectiveness of the proposed method, patent data in the field of the Internet of Things from 2016 to 2021 is used. To check the robustness of the proposed method, patent data in the field of industrial robots is used.
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Received: 06 January 2023
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