Abstract
The research objective of this research paper is to examine the relationships between organizational commitment to emission trading schemes, artificial intelligence, and climate entrepreneurship, as well as their impact on sustainable performance, i.e., environmental and organizational performance in organizations. This study aims to identify the key drivers and barriers to the adoption of these factors and to understand how they influence environmental and organizational performance. The study utilizes a cause-and-effect design on the sampled size of 387 subjects and employs the Smart PLS version 4.0 statistical tool to estimate the interactions between all constructs in the structural equation modeling. The research questions aim to explore the key drivers and barriers to the adoption of these factors in organization and their impact on sustainable performance, i.e., environmental and organizational performance. The study hypothesizes that organizational commitment to emission trading schemes, AI, and climate entrepreneurship has a positive impact on sustainable performances such as environmental and organizational performance. The findings suggest that attitudes toward AI and emission trading schemes have a direct impact on climate entrepreneurship, environmental performance, and organizational performance. By considering these factors together, the study seeks to uncover the synergistic effects and potential interactions between them and sheds light on their combined influence on environmental and organizational performance. Organizations can enhance environmental and organizational performance by prioritizing their attitudes toward emission trading schemes, AI, and climate entrepreneurship through resource allocation, technology investment, and fostering a climate entrepreneurship mindset. The research concludes that businesses that demonstrate high organizational commitment, positive attitude toward the ETS, and a focus on climate entrepreneurship experiences improved environmental and organizational performance.
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Bin Hu contributed to data analysis, interpretation, and manuscript revision regarding emission trading schemes and sustainable performance. Shoaib Asim* as corresponding author led the research, designed the methodology, conducted data analysis, and contributed to writing and manuscript revision. Muhammad Sibt-e-Ali provided expertise in artificial intelligence, conducted literature review, analyzed data, and contributed to writing and revision. Muhammad Qasim Javaid focused on climate entrepreneurship, collected and analyzed data, and contributed to writing and revision. Muhammad Ramzan provided expertise in sustainable performance, analyzed data, established relationships, and contributed to writing and revision.
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Hu, B., Asim, S., Sibt-e-Ali, M. et al. Exploring the relationships between attitudes toward emission trading schemes, artificial intelligence, climate entrepreneurship, and sustainable performance. Environ Sci Pollut Res 30, 95720–95737 (2023). https://doi.org/10.1007/s11356-023-29051-1
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DOI: https://doi.org/10.1007/s11356-023-29051-1