Democratizing Data Analytics Products to Drive SME Growth : A Natural Experiment

• 成果类型: Article
• 署名作者: Yuan, Zhe; Wang, Yitong; Sun, Tianshu; Xu, Huilan
• 署名单位: Zhejiang University; Zhejiang University; Zhejiang University; Zhejiang University; American University
• 刊物名称: M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT
• ISSN/ISSBN: 1523-4614
• DOI: 10.1287/msom.2024.1138
• 发表日期: 2025
• 关键词: data analytics; E-commerce; Digital platform; SME growth; data-driven operations; natural experiment; PSM-DID

摘要

Problem definition: Digital platforms provide sellers with the opportunity to leverage data analytics products, granting them convenient access to statistical analyses of their business data. To promote the adoption of data analytics products and facilitate the growth of small and medium enterprises (SMEs), a world-leading E-commerce platform initiated a Democratizing Data Analytics (DDA) campaign in May 2021, which gives free data analytics products access to all sellers on the platform. Leveraging a unique panel data set of over 370,000 sellers and a natural experiment, our study seeks to identify the causal effect of data analytics product adoption on seller performance. Methodology/ results: This natural experiment led to a sharp increase in SMEs' adoption of data analytics. Employing look-ahead propensity score matching (LA-PSM) coupled with difference-indifferences methods, we find that sellers who adopted an analytics product experienced a 14.4% increase in the number of transactions and an 18.8% increase in their revenue. We further explore the rich heterogeneity across sellers and find that younger, smaller sellers, and sellers with fewer cumulative transactions, benefit more from data analytics adoption, highlighting the value of data analytics product adoption for SME growth. Finally, we uncovered the intermediate process and mechanisms underlying such growth by examining how SMEs use data analytics and detailed operational decisions they make. After the adoption of data analytics products, sellers (1) spend more on advertising; (2) edit product titles, descriptions, and images more frequently; and (3) carry more new product stock keeping units and more product categories. Managerial implications: Our research indicates SMEs significantly benefit from adopting data analytics, underscoring the pivotal role these tools play in promoting their growth and development. Meanwhile, platforms or digital economies can increase their gross merchandise volume (GMV) by providing data analytics products to their sellers.