Abstract: Big data usage is a hot topic in academics and practice, but the existing literature lacks research on data-driven new product development processes. This study develops a research model of the impact of big data-embedded new product development processes on innovation performance based on the theory of new product development. To test the proposed research model and implement a cross-national comparative study, this study collected data from China, the United States, and Singapore and analyzed the data using cross-group regression analysis methods. The empirical results indicate that the big data-embedded business analysis stage and the big data embedded product testing stage have a significant positive impact on innovation performance in China, the United States, and Singapore. Furthermore, the most important stage with regard to the impact on sales growth is the big data embedded product design stage in China, the big data embedded product testing stage in the United States, and the big data embedded product testing stage in Singapore. The most important stage with regard to the impact on gross margin is the big data embedded product design stage in China, the big data embedded product testing stage in the United States, and the big data embedded commercialization stage in Singapore.

摘要： 大数据的应用是学术和实践热点，但现有研究缺乏数据驱动的新产品开发过程研究。基于新产品开发理论，构建大数据嵌入的新产品开发过程对创新绩效作用机理的理论模型。收集跨国数据，采用回归分析，验证理论模型。结果表明：中美新大数据嵌入的商业分析和产品测试提高创新绩效。在中国，大数据嵌入的产品设计最能提升销售增长率；而在美国和新加坡，大数据嵌入的产品测试最能提升销售增长率。在中国，大数据嵌入的产品设计最能提高毛利率；而在美国，大数据嵌入的产品测试最能提高毛利率；在新加坡，则是大数据嵌入的市场投放最能提高毛利率。