AI-Driven Synergies: The Role of Artificial Intelligence in Enhancing Green Product Innovation for Environmental and Organizational Performance in China’s Petrochemical Industry
In recent years, the petrochemical industry in China has experienced rapid development, playing a pivotal role in the nation’s economy and industrial growth. However, the industry is also a significant source of toxic and hazardous waste, posing substantial environmental risks. Amid growing environmental concerns among consumers, organizations are increasingly adopting green innovative strategies to meet sustainability demands. By focusing on green product innovation, companies can strategically reduce environmental impacts and gain a sustainable competitive advantage. Furthermore, the integration of artificial intelligence (AI) into green innovation processes has emerged as a transformative approach to enhance both environmental and organizational performance. This paper explores the effects of green product innovation, particularly in the context of AI-driven strategies, on environmental and organizational performance within the petrochemical industry in China. The study aims to provide insights into how AI can optimize green innovation practices, ultimately contributing to sustainable development in this critical sector.
Cite this paper
Sun, J. , Peng, Y. , Liang, Z. , Zhou, Y. and Li, L. (2025). AI-Driven Synergies: The Role of Artificial Intelligence in Enhancing Green Product Innovation for Environmental and Organizational Performance in China’s Petrochemical Industry. Open Access Library Journal, 12, e3579. doi: http://dx.doi.org/10.4236/oalib.1113579.
Zhou, W., Zhuang, Y. and Chen, Y. (2024) How Does Artificial Intelligence Affect Pollutant Emissions by Improving Energy Efficiency and Developing Green Technology. Energy Economics, 131, Article ID: 107355. https://doi.org/10.1016/j.eneco.2024.107355
Haleem, F., Farooq, S., Cheng, Y. and Waehrens, B.V. (2022) Sustainable Management Practices and Stakeholder Pressure: A Systematic Literature Review. Sustainability, 14, Article 1967. https://doi.org/10.3390/su14041967
Chen, X., Wang, Y. and Zhang, Z. (2022) Machine Learning Algorithms in Chemical Synthesis: Optimizing Catalytic Pro-cesses for Energy Efficiency. Journal of Chemical Engineering, 45, 123-135.
Guo, L., Li, H. and Zhao, J. (2021) Health and Agricultural Impacts of PM2.5 Emissions from China’s Petrochemical Sector: An Epidemiological Study. Envi-ronmental Health Perspectives, 129, 789-801.
Liu, T. and Zhou, B. (2024) The Impact of Artificial Intelligence on the Green and Low‐carbon Transformation of Chi-nese Enterprises. Managerial and Decision Economics, 45, 2727-2738. https://doi.org/10.1002/mde.4164
Khan, A.N., Mehmood, K. and Kwan, H.K. (2024) Green Knowledge Management: A Key Driver of Green Technology Innovation and Sustainable Performance in the Construction Organizations. Journal of Innovation & Knowledge, 9, Article ID: 100455. https://doi.org/10.1016/j.jik.2023.100455
Zhang, J. and Li, S. (2023) The Impact of Human Capital on Green Technology Innova-tion—Moderating Role of Environmental Regulations. International Journal of Envi-ronmental Research and Public Health, 20, Article 4803. https://doi.org/10.3390/ijerph20064803
Faisal, Y.A., Gunawan, I., Cupian,, Hayati, A., Apriliadi, A. and Fajri, M. (2023) Examining the Purchase Intentions of Indonesian Investors for Green Sukuk. Sustainability, 15, Article 7430. https://doi.org/10.3390/su15097430
Salim, N., Ab Rahman, M.N., Abd Wahab, D. and Muhamed, A.A. (2020) Influence of Social Media Usage on the Green Product Innovation of Manufacturing Firms through Environmental Collaboration. Sustainability, 12, Article 8685. https://doi.org/10.3390/su12208685
Tian, C., Liang, Y., Lin, Q., You, D. and Liu, Z. (2024) Environmental Pressure Exerted by the Petrochemical Industry and Urban Environmental Resilience: Evidence from Chinese Petrochemical Port Cities. Journal of Cleaner Production, 471, Article ID: 143430. https://doi.org/10.1016/j.jclepro.2024.143430
Cheng, P., Zhang, J., Chen, J., Zheng, Y. and Li, Z. (2024) Stakeholder Attention and Ambidextrous Green Innova-tion: Evidence from China. Business Strategy and the Environment, 34, 1007-1026. https://doi.org/10.1002/bse.4032
Guo, M., Wang, H. and Kuai, Y. (2023) En-vironmental Regulation and Green Innovation: Evidence from Heavily Polluting Firms in China. Finance Research Letters, 53, Article ID: 103624. https://doi.org/10.1016/j.frl.2022.103624
Wang, Y., Zhang, X., Wang, Y., Chen, X. and Song, M. (2023) The Road to Sustainable Development: Results of the Differentiated Choice of Corporate Environmental Strategy. Sustainable Development, 32, 2990-3003. https://doi.org/10.1002/sd.2828
Xie, J., Abbass, K. and Li, D. (2024) Advancing Eco-Excellence: Integrating Stakeholders’ Pressures, Environmen-tal Awareness, and Ethics for Green Innovation and Performance. Journal of Envi-ronmental Management, 352, Article ID: 120027. https://doi.org/10.1016/j.jenvman.2024.120027
He, B. (2022) Application of Data Mining Technology in Enterprise Green Innovation Model Construction and Path Analysis. Computational Intelligence and Neuroscience, 2022, Article ID: 7194171. https://doi.org/10.1155/2022/7194171
Liu, S., Wu, S. and Cheng, H. (2023) Preparation and Characterization of Lignin-Derived Nitrogen-Doped Hierarchical Po-rous Carbon for Excellent Toluene Adsorption Performance. Industrial Crops and Products, 192, Article ID: 116120. https://doi.org/10.1016/j.indcrop.2022.116120