{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T13:14:35Z","timestamp":1774444475837,"version":"3.50.1"},"reference-count":85,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2024,6,6]],"date-time":"2024-06-06T00:00:00Z","timestamp":1717632000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IMDS"],"published-print":{"date-parts":[[2024,7,9]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>This study aims to measure the integrated impact of big data analytics and artificial intelligence (BDA-AI) adoption by using the ChatGPT generative AI online platform as a BDA-AI tool on the operational and environmental performance.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>This study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>This study\u2019s main finding is that the considered antecedents \u2013 including technological, organizational and environmental contexts, tangible resources and workforce skills \u2013 are significantly associated with BDA-AI adoption. Notably, BDA-AI adoption exhibits a significant relationship with operational performance, environmental performance and environmental process integration. Moreover, environmental process integration is significantly correlated with environmental performance. Lastly, operational performance is significantly correlated with environmental performance.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>This study contributes to the heavily lacking but developing literature on the antecedents and consequences of BDA-AI adoption. Its theoretical foundation consists of the technological-organizational-environmental model, Roger\u2019s diffusion of innovation theory and resource-based view theory.<\/jats:p><\/jats:sec>","DOI":"10.1108\/imds-10-2023-0778","type":"journal-article","created":{"date-parts":[[2024,6,5]],"date-time":"2024-06-05T07:40:40Z","timestamp":1717573240000},"page":"2388-2413","source":"Crossref","is-referenced-by-count":24,"title":["Antecedents of big data analytics and artificial intelligence adoption on operational performance: the ChatGPT platform"],"prefix":"10.1108","volume":"124","author":[{"given":"Chin-Tsu","family":"Chen","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0039-421X","authenticated-orcid":false,"given":"Shih-Chih","family":"Chen","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5498-6077","authenticated-orcid":false,"given":"Asif","family":"Khan","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0809-9431","authenticated-orcid":false,"given":"Ming K.","family":"Lim","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2702-3590","authenticated-orcid":false,"given":"Ming-Lang","family":"Tseng","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2024,6,6]]},"reference":[{"key":"key2024071005554202400_ref001","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1016\/j.ijinfomgt.2018.06.008","article-title":"Big data, knowledge co-creation and decision making in fashion industry","volume":"42","year":"2018","journal-title":"International Journal of Information Management"},{"key":"key2024071005554202400_ref002","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.ijpe.2016.08.018","article-title":"How to improve firm performance using big data analytics capability and business strategy alignment?","volume":"182","year":"2016","journal-title":"International Journal of Production Economics"},{"issue":"2","key":"key2024071005554202400_ref003","article-title":"Interrelated factors influencing the adoption of big data applications: empirical study in Jordan","volume":"18","year":"2022","journal-title":"Jordan Journal of Business Administration"},{"key":"key2024071005554202400_ref004","doi-asserted-by":"publisher","DOI":"10.1108\/jeim-08-2022-0282","article-title":"How can big data analytics improve outbound logistics in the UK retail sector? 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