Title

Effects of Big Data Analytics and Traditional Marketing Analytics on New Product Success, a Knowledge Fusion perspective

Document Type

Article

Publication Date

2-2015

Publication Title

Journal of Business Research

Abstract

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.

Comments

Copyright of Journal of Business Research is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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