AI-CC SWOT Analysis for Sustainable Product Markets: A Cross-Cultural Comparison between China and the United States

Abstract

<p> Sustainability serves as a modern business strategy, enhancing a company’s competitive edge. SWOT is a classic business strategy analysis model used to analyze a company’s strengths, weaknesses, threats, and opportunities. However, traditional SWOT analysis often demands significant human and time resources. In addition, organizational behavioral change presents a notable challenge in sustainability reengineering. To address these analytical demands and cultural behavioral barriers, we propose a novel artificial intelligence (AI)-based SWOT analytical model, named AI-CC SWOT. Implemented with an AI system, this model leverages natural language processing to automatically gather information from diverse sources, integrating key sustainability metrics (e.g., carbon footprint) and cultural factors (e.g., Hofstede’s cultural dimensions) into the SWOT analysis. We tested this model by studying the sustainable policies of China and the United States and their cultural insights. The results indicate that AI-CC SWOT provides a more objective and culturally aware assessment compared with traditional methods. By analyzing broad policies, such as China’s carbon neutrality goals, and consumer sentiment regarding these policies, the AI-CC SWOT model demonstrates adaptability to diverse global markets. It assists companies and governments in making more informed decisions, thereby improving environmental impact, social responsibility, corporate governance, and overall market competitiveness. <br></p>