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Phone: (843) 722-7550
West Ashley Library
9 a.m. - 6 p.m.
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Tapping into the green potential: The power of artificial intelligence adoption in corporate green innovation drive.
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- Author(s): Hussain, Murtaza1 (AUTHOR); Yang, Shaohua1 (AUTHOR); Maqsood, Umer Sahil1 (AUTHOR) ; Zahid, R. M. Ammar2 (AUTHOR)
- Source:
Business Strategy & the Environment (John Wiley & Sons, Inc). Jul2024, Vol. 33 Issue 5, p4375-4396. 22p.- Subject Terms:
- Source:
- Additional Information
- Subject Terms:
- Abstract: In response to growing environmental challenges, there is an urgent need to understand how corporations can leverage new technologies to boost sustainability and eco‐innovation. This study addresses this need by investigating Artificial Intelligence adoption (AIA) influence on green innovation (greenovation) performance among Chinese firms as China's expanding digital economy and severe ecological pressures make it unique study context. Specifically, panel data on 8722 firm‐year observations from Chinese listed firms from 2008 to 2017 is analyzed to test the relationship. The main findings show that higher AIA is associated with increased greenovation, measured through green patents. This positive effect is more pronounced among privately‐owned enterprises versus state‐owned enterprises. Additionally, financial analysts are found to strengthen the AI‐greennovation link through information dissemination and scrutiny. Importantly, the study findings are robust and validated through a battery of tests, including change regression, instrumental variable methods, propensity score match (PSM), and sysGMM. Overall, this study provides novel empirical evidence that AI holds promise as an enabler of corporate eco‐innovation. The findings have crucial implications for research and practice regarding leveraging digital technologies for sustainability, especially in emerging economies like China that is undergoing rapid technological change. [ABSTRACT FROM AUTHOR]
- Abstract: Copyright of Business Strategy & the Environment (John Wiley & Sons, Inc) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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