How to boost e-commerce for poverty alleviation? A perspective on competitiveness analysis using online reviews

As a creative mode, e-commerce for poverty alleviation (e-CPA) plays a significant role in fighting against poverty globally. To boost e-commerce for poverty alleviation, this study proposes an innovative framework with mixed text mining methods and visualized tools to conduct competitiveness analysis based on consumer online reviews. Specifically, sentiment analysis was first utilized to calculate attribute performance of the target product, and attribute importance was obtained using multiple linear regression. Drawing on importance-performance competitor analysis and dynamic importance-performance competitor analysis, we conducted competitiveness analysis of e-CPA products from both static and dynamic perspectives. Finally, consumer dissatisfaction factors were extracted and visualized via a heat map to generate product improvement strategies. Online reviews from Jingdong were crawled to demonstrate the proposed framework's effectiveness. This work has strong theoretical contributions to research on e-CPA and competitiveness analysis, and also provides e-CPA merchants with concrete and efficient practical suggestions to improve products.