Prerequisites for the innovation performance of artificial intelligence laboratory : a fuzzy-set qualitative comparative analysis
Jincheng Shi and Yingchun Wang
| Year of publication: |
2024
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|---|---|
| Authors: | Shi, Jincheng ; Wang, Yingchun |
| Published in: |
IEEE transactions on engineering management : EM ; a publication of the IEEE Engineering Management Society. - New York, NY : IEEE, ISSN 1558-0040, ZDB-ID 2021741-9. - Vol. 71.2024, p. 5341-5356
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| Subject: | Artificial intelligence (AI) laboratory | basic research | engineering breakthrough | innovation performance | qualitative comparative analysis (QCA) | Künstliche Intelligenz | Artificial intelligence | Innovation | Qualitative Methode | Qualitative method | Fuzzy-Set-Theorie | Fuzzy sets | Grundlagenforschung | Basic research | Innovationsmanagement | Innovation management |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1109/TEM.2024.3355235 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015411551