TITLE:
AI-Driven Synergies: The Role of Artificial Intelligence in Enhancing Green Product Innovation for Environmental and Organizational Performance in China’s Petrochemical Industry
AUTHORS:
Jian Sun, Yu Peng, Zhuyu Liang, Yaoyang Zhou, Lanlan Li
KEYWORDS:
Green Product Innovation, Environmental Performance, Organizational Performance, Petrochemical Industry, Artificial Intelligence (AI)
JOURNAL NAME:
Open Access Library Journal,
Vol.12 No.6,
June
13,
2025
ABSTRACT: 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.