| Title | Antecedents of big data analytics and artificial intelligence adoption on operational performance: the ChatGPT platform |
|---|---|
| ID_Doc | 19618 |
| Authors | Chen, CT; Chen, SC; Khan, A; Lim, MK; Tseng, ML |
| Title | Antecedents of big data analytics and artificial intelligence adoption on operational performance: the ChatGPT platform |
| Year | 2024 |
| Published | Industrial Management & Data Systems, 124.0, 7 |
| Abstract | PurposeThis 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.Design/methodology/approachThis study considers Taiwanese professionals who engage with ChatGPT; the sample consists of 388 online users.FindingsThis study's main finding is that the considered antecedents - including technological, organizational and environmental contexts, tangible resources and workforce skills - 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.Originality/valueThis 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's diffusion of innovation theory and resource-based view theory. |
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