Two-stage technology opportunity discovery for firm-level decision making: GCN-based link-prediction approach
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DOI: 10.1016/j.techfore.2022.121934
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Citations
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Cited by:
- Seol, Youngjin & Lee, Seunghyun & Kim, Cheolhan & Yoon, Janghyeok & Choi, Jaewoong, 2023. "Towards firm-specific technology opportunities: A rule-based machine learning approach to technology portfolio analysis," Journal of Informetrics, Elsevier, vol. 17(4).
- Motohashi, Kazuyuki & Zhu, Chen, 2023.
"Identifying technology opportunity using dual-attention model and technology-market concordance matrix,"
Technological Forecasting and Social Change, Elsevier, vol. 197(C).
- MOTOHASHI Kazuyuki, 2023. "Identifying Technology Opportunity Using a Dual-attention Model and a Technology-market Concordance Matrix," Discussion papers 23024, Research Institute of Economy, Trade and Industry (RIETI).
- Liu, Zhenfeng & Feng, Jian & Uden, Lorna, 2023. "Technology opportunity analysis using hierarchical semantic networks and dual link prediction," Technovation, Elsevier, vol. 128(C).
- Seo, Wonchul & Afifuddin, Mokh, 2024. "Developing a supervised learning model for anticipating potential technology convergence between technology topics," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
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Keywords
Technology opportunity discovery; Technology convergence; Graph convolutional network; Patent analysis; Machine learning; Link prediction;All these keywords.
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