Transforming big data into knowledge: the role of knowledge management practice

Roberto Chierici, Alice Mazzucchelli, Alexeis Garcia-Perez, Demetris Vrontis

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)
67 Downloads (Pure)


Purpose: The purpose of this paper is to empirically investigate how big data collected from social media contribute to knowledge management practices, innovation processes and business performance. Design/methodology/approach: The study used 418 questionnaires collected from firms that actively invest in marketing, advertising and communication in the Italian market. The hypotheses testing and analysis were conducted using structural equation modeling. Findings: The results reveal that customers’ data gathered from social media produce different effects on knowledge management practices and firms’ innovation capacity. Furthermore, increased innovation capacity turned out to affect customer relationship performance directly, while it contributes to gain better financial performance only when it is used to gain relational outcomes. Originality/value: The outcomes of the study help firms to develop a clear understanding about which big data retrieved from social media can be useful to improve their knowledge management practices and enhance their innovation capacity. Moreover, by investigating the mediating role of big data knowledge management in the context of social media knowledge acquisition and innovation capacity, this study also extends the mediation variables used to understand the relationship between knowledge capabilities and practices and innovation constructs.

Original languageEnglish
Pages (from-to)1902-1922
Number of pages21
JournalManagement Decision
Issue number8
Early online date29 Nov 2018
Publication statusPublished - 12 Sep 2019

Bibliographical note

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.
This document is the author’s post-print version, incorporating any revisions agreed during the peer-review process. Some differences between the published version and this version may remain and you are advised to consult the published version if you wish to cite from it.


  • Big data knowledge management
  • Customer collaboration
  • Firm performance
  • Innovation capacity
  • Market orientation
  • Social media

ASJC Scopus subject areas

  • Business, Management and Accounting(all)
  • Management Science and Operations Research

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