| 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 |
| DOI |
10.1108/IMDS-10-2023-0778 |
| 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. |
| Author Keywords |
Big data analytics and artificial intelligence; Generative artificial intelligence; Environmental process integration; Tangible resources; Workforce skills; Technological-organizational-environmental framework |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001238749500001 |
| WoS Category |
Computer Science, Interdisciplinary Applications; Engineering, Industrial |
| Research Area |
Computer Science; Engineering |
| PDF |
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