大数据嵌入的新产品开发过程  

A study on big data-embedded new product development processes

作　　者：王宇凡[1] 张海丽[1] Michael Song WANG Yu-fan;ZHANG Hai-li;Michael SONG(School of Economics and Management,Xi'an Technological University,Xi'an 710021,China)

机构地区：[1]西安工业大学经济管理学院,陕西西安710021

出　　处：《科学学研究》2020年第12期2202-2211,共10页Studies in Science of Science

基　　金：国家自然科学基金资助项目(72002162);教育部人文社会科学研究项目(20YJCZH224)。

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。Big data usage is a hot topic in academics and practice,but the existing literature lacks research on data-driven new prod-uct development processes.This study develops a research model of the impact of big data-embedded new product developmentprocesses on innovation performance based on the theory of new product development.To test the proposed research model and imple-ment a cross-national comparative study,this study collected data from China,the United States,and Singapore and analyzed the datausing cross-group regression analysis methods.The empirical results indicate that the big data-embedded business analysis stage andthe 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 de-sign stage in China,the big data-embedded product testing stage in the United States,and the big data-embedded product testingstage 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 inSingapore.

关 键 词：大数据 新产品开发过程 大数据嵌入的新产品开发过程 创新绩效 

分 类 号：C931[经济管理—管理学] F273.1