Application of Explainable Artificial Intelligence technique to model the predictors of South African SMMEs resilient performance during the Covid-19 pandemic
Helper Zhou, Lucy T. Chamba, Robert. W. D. Zondo
| Year of publication: |
2024
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|---|---|
| Authors: | Zhou, Helper ; Chamba, Lucy T. ; Zondo, Robert. W. D. |
| Published in: |
International Journal of Research in Business and Social Science : IJRBS. - Istanbul, Turkey : School of Business, İMU, ISSN 2147-4478, ZDB-ID 2719183-7. - Vol. 13.2024, 1, p. 64-74
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| Subject: | Artificial Neural Networks | Covid-19 | Explainable Artificial Intelligence | SMME Resilience | SHAP Values | Künstliche Intelligenz | Artificial intelligence | Coronavirus | Neuronale Netze | Neural networks | Südafrika | South Africa | Epidemie | Epidemic | Coping-Strategie | Coping strategy |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.20525/ijrbs.v13i1.3072 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014486545