How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators
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DOI: 10.1016/j.techfore.2022.121598
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Cited by:
- Rhaiem, Khalil & Halilem, Norrin, 2023. "The worst is not to fail, but to fail to learn from failure: A multi-method empirical validation of learning from innovation failure," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
- Bonazzi, Riccardo & Viscusi, Gianluigi & Solidoro, Adriano, 2024. "Crowd mining as a strategic resource for innovation seekers," Technovation, Elsevier, vol. 132(C).
- Broekhuizen, Thijs & Dekker, Henri & de Faria, Pedro & Firk, Sebastian & Nguyen, Dinh Khoi & Sofka, Wolfgang, 2023. "AI for managing open innovation: Opportunities, challenges, and a research agenda," Journal of Business Research, Elsevier, vol. 167(C).
- Just, Julian, 2024. "Natural language processing for innovation search – Reviewing an emerging non-human innovation intermediary," Technovation, Elsevier, vol. 129(C).
- Fronzetti Colladon, Andrea & Toschi, Laura & Ughetto, Elisa & Greco, Francesca, 2023. "The language and social behavior of innovators," Journal of Business Research, Elsevier, vol. 154(C).
- Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
- Busch, Malte & Duwe, Daniel, 2023. "Artificial intelligence in innovation processes. A study using the example of an innvation research institute," EconStor Research Reports 281981, ZBW - Leibniz Information Centre for Economics.
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Keywords
AI-based innovation management; Innovation process; Organizational setup; Organizational context; Cluster analysis;All these keywords.
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