From carbon capture to cash: strategic environmental leadership, AI, and the performance of U.S. firms
Article
Xia, M., Phillips, F., Zhang, W., Cai, H., Dai, J., Zhang, L. and Wu, Y. 2024. From carbon capture to cash: strategic environmental leadership, AI, and the performance of U.S. firms. Journal of Organizational and End User Computing. 36 (1), pp. 1-24. https://doi.org/10.4018/joeuc.359892
Type | Article |
---|---|
Title | From carbon capture to cash: strategic environmental leadership, AI, and the performance of U.S. firms |
Authors | Xia, M., Phillips, F., Zhang, W., Cai, H., Dai, J., Zhang, L. and Wu, Y. |
Abstract | This research unravels the strategic confluence of environmental leadership and cutting-edge Artificial Intelligence (AI) in the realm of Carbon Capture technology, and their combined effect on the financial fortitude of U.S. firms. It posits that a firm's environmental vision, when led by transformative green leadership, significantly propels the effective adoption of Carbon Capture solutions. Drawing on data from 145 publicly traded U.S. entities from the years 2017 to 2019, provided by the Carbon Disclosure Project and Compustat, this study meticulously explores the interrelation between a firm's environmental initiatives - including managerial focus, shared vision, proactive green strategies, and innovation—and its performance outcomes. The findings illuminate that while environmental commitments like management focus and a unified vision greatly encourage the embracement of Carbon Capture, the financial implications of these adoptions present a complex picture. |
Keywords | Carbon Capture; Artificial Intelligence; Strategic Environmental Leadership; Firm Performance; Sustainable Innovation; U.S. Market |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
11 Sustainable cities and communities | |
12 Responsible consumption and production | |
Middlesex University Theme | Sustainability |
Creativity, Culture & Enterprise | |
Publisher | IGI Global |
Journal | Journal of Organizational and End User Computing |
ISSN | 1546-2234 |
Electronic | 1546-5012 |
Publication dates | |
01 Nov 2024 | |
Publication process dates | |
Submitted | 21 Mar 2024 |
Accepted | 03 Oct 2024 |
Deposited | 31 Jan 2025 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited. |
Digital Object Identifier (DOI) | https://doi.org/10.4018/joeuc.359892 |
Language | English |
https://repository.mdx.ac.uk/item/1z5vx9
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