Effects of Big Data Analytics and Traditional Marketing Analytics on New Product Success, a Knowledge Fusion perspective
Journal of Business Research
This study introduces the knowledge fusion taxonomy to understand the relationships among traditional marketing analytics (TMA), big data analytics (BDA), and new product success (NPS). With high volume and speed of information and knowledge from different stakeholders in the digital economy, the taxonomy aims to help firms build strategy to combine knowledge from both marketing and big data domains.
Xu, Zhenning, Gary L. Frankwick, and Edward Ramirez (2015), “Effects of Big Data Analytics and Traditional Marketing Analytics on New Product Success, a Knowledge Fusion perspective.” Journal of Business Research.