Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective

By Zhenning Jimmy Xu, Gary L. Frankwick, Edward Ramírez. 2016

384 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Mining customer requirements from online reviews: A product improvement perspective (2016, background): “Big data is just raw material; it is not a solution [62].”
Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environment (2019, neutral): “…as alterations to products and services (Y. Wang, Kung, & Byrd, 2018), personalization of offered marketing approaches and services (Buettner, 2017; Xu, Frankwick, & Ramirez, 2016), changes in client interfaces (Lehrer, Wieneke, vom Brocke, Jung, & Seidel, 2018), improved efficiency in supply…”
Big data analytics capabilities: a systematic literature review and research agenda (2017, background): “To this end, several recent studies attempt to examine the inﬂuence of BDA capabilities on enabling various forms of organizational capabilities (Xu et al. 2016; Pappas et al. 2016; Wamba et al. 2017).”
Assessing the impact of big data on firm innovation performance: Big data is not always better data (2020, background): “However, recent changes in information technologies have enabled firms to analyze large sizes of data to make better decisions (Xu, Frankwick, & Ramirez, 2016).”
Resource management in big data initiatives: Processes and dynamic capabilities (2017, background): “Bigdatashould be incorporated into strategic activities such as marketing and new product development (Xu, Frankwick, & Ramirez, 2016).”