Zhenguo Wang

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About

Zhenguo Wang is a leading scholar at the intersection of artificial intelligence, corporate sustainability, and ESG performance. His research investigates how emerging technologies—particularly robotics and automation—reshape firm-level environmental, social, and governance outcomes. In his highly cited work, "How Do Robot Applications Affect Corporate Sustainability?—An Analysis Based on Environmental, Social, and Governance Performance," Wang constructs a novel micro-dataset by merging International Federation of Robotics data with annual reports of China’s A-share listed companies from 2010 to 2018. Using a multidimensional fixed effects model, he demonstrates that robot adoption significantly enhances corporate sustainability, offering critical insights for policymakers and managers navigating the Fourth Industrial Revolution. With over 3 citations already, this study is gaining traction as a foundational reference in the growing field of AI-driven sustainable development. Wang’s contributions bridge technology management and corporate governance, providing empirical evidence that automation can align profit motives with environmental and social responsibility. His work is essential reading for researchers and students exploring the dual role of robotics in economic efficiency and sustainable business practices.