A future‐oriented approach to the selection of artificial intelligence technologies for knowledge platforms
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DOI: 10.1002/asi.24763
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References listed on IDEAS
- Arciszewski, Tomasz, 2018. "Morphological Analysis in Inventive Engineering," Technological Forecasting and Social Change, Elsevier, vol. 126(C), pages 92-101.
- Isto Huvila & Heidi Enwald & Kristina Eriksson‐Backa & Ying‐Hsang Liu & Noora Hirvonen, 2022. "Information behavior and practices research informing information systems design," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(7), pages 1043-1057, July.
- Daniel R. Georgiadis & Thomas A. Mazzuchi & Shahram Sarkani, 2013. "Using multi criteria decision making in analysis of alternatives for selection of enabling technology," Systems Engineering, John Wiley & Sons, vol. 16(3), pages 287-303, September.
- Thomas Köhler & Christoph Lattemann & Jörg Neumann, 2021. "Organising Academia Online," Progress in IS, in: Claudia Koschtial & Thomas Köhler & Carsten Felden (ed.), e-Science, edition 1, pages 11-28, Springer.
- Song, Kisik & Kim, Karp Soo & Lee, Sungjoo, 2017. "Discovering new technology opportunities based on patents: Text-mining and F-term analysis," Technovation, Elsevier, vol. 60, pages 1-14.
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