{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T15:24:12Z","timestamp":1774365852893,"version":"3.50.1"},"reference-count":88,"publisher":"Emerald","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,12]]},"abstract":"\n Purpose<\/jats:title>\n Drawing on information processing theory, dynamic capabilities theory and institutional theory, this study aims to explore the impact of artificial intelligence adoption on radical green innovation and examine the mediating role of digital resilience and the moderating role of command-and-control environmental regulation.<\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n This study adopts a quantitative design and collects data from 273 Chinese manufacturing firms. Multiple regression analysis and bootstrap analysis are employed to test the research hypotheses.<\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n The results show that artificial intelligence adoption aids firms in achieving radical green innovation and enables firms to develop proactive digital resilience and reactive digital resilience. Furthermore, both proactive digital resilience and reactive digital resilience play a partial mediating role in the relationship between artificial intelligence adoption and radical green innovation. Moreover, command-and-control environmental regulation positively moderates the relationship between artificial intelligence adoption and radical green innovation.<\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n This study unpacks the black box of the driving mechanism for radical green innovation through artificial intelligence adoption by investigating the role of two types of digital resilience. Furthermore, by demonstrating the moderating role of command-and-control environmental regulation, this study expands the boundary condition research on artificial intelligence adoption.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/jeim-07-2024-0383","type":"journal-article","created":{"date-parts":[[2025,4,25]],"date-time":"2025-04-25T06:22:34Z","timestamp":1745562154000},"page":"1599-1622","source":"Crossref","is-referenced-by-count":10,"title":["Artificial intelligence adoption and radical green innovation: exploring the\u00a0role of digital resilience and command-and-control environmental regulation"],"prefix":"10.1108","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7746-467X","authenticated-orcid":true,"given":"Chun","family":"Xue","sequence":"first","affiliation":[{"name":"School of Management, Northwestern Polytechnical University , ,","place":["Xi\u2019an, China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4732-6644","authenticated-orcid":true,"given":"Juanru","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Management, Northwestern Polytechnical University , ,","place":["Xi\u2019an, China"]}]}],"member":"140","published-online":{"date-parts":[[2025,4,29]]},"reference":[{"issue":"5","key":"2025121007514430600_ref001","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1108\/jeim-02-2023-0092","article-title":"Digital transformation and SME internationalization: unravelling the moderated-mediation role of digital capabilities, digital resilience and digital maturity","volume":"37","author":"Aghazadeh","year":"2024","journal-title":"Journal of Enterprise Information Management"},{"issue":"4","key":"2025121007514430600_ref002","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1108\/bpmj-05-2022-0212","article-title":"Can big data analytics capabilities promote a competitive advantage? 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