Customer agility and big data analytics in new product context

Hsiao Ting Tseng, Niloofar Aghaali, Dr Nick Hajli

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article number121690
JournalTechnological Forecasting and Social Change
Volume180
DOIs
StatePublished - Jul 2022

Keywords

  • Big data analytics
  • Customer agility
  • New Product Success
  • Survey

Fingerprint

Dive into the research topics of 'Customer agility and big data analytics in new product context'. Together they form a unique fingerprint.

Cite this