大数据
分析
新产品开发
计算机科学
产品(数学)
背景(考古学)
数据科学
过程(计算)
数据分析
过程管理
业务
知识管理
营销
数据挖掘
古生物学
几何学
数学
生物
操作系统
作者
Hsiao-Ting Tseng,Niloofar Aghaali,Nick Hajli
标识
DOI:10.1016/j.techfore.2022.121690
摘要
New product development is s complicated process in marketing. New product success is an important part of new product development. Firms can use big data analytics to track new product success. Therefore, we develop quantitative research to see how big data analytics can help the firms on the new product success process. Using a survey, we collect data from the industry. The results of our PLS analysis show the effective use of data interpretation tools and effective use of data analysis tools are important factors to share customer agility in new product success. Our research has theoretical contributions and practical implications, which we discuss at the end of the paper.
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