Firm-level capabilities towards big data value creation

Morten Brinch, Angappa Gunasekaran*, Samuel Fosso Wamba

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review


Big data has played an increasingly important role in using data to improve business value. In response to several big data challenges, the purpose of this study is to identify firm-level capabilities required to create value from big data. The adjacent theories of business process management and IT business value underpinned the study, together with an in-depth case study that led to the identification of twenty-four types of capabilities related to IT, process, performance, human, strategic, and organizational practices. The findings confirmed the application of practices and capabilities of adjacent theories, as well as certain practices and attributes that were both changed and reinforced at the intersection of big data. As an outstanding additional support to the extant big data studies, this work empirically confirms and portrays hitherto unexplored capabilities of big data and set their roles, thus providing a holistic overview of firm-level capabilities that are required for big data value creation.

Original languageEnglish
JournalJournal of Business Research
Pages (from-to)539-548
Publication statusPublished - Jul 2021


  • Big data
  • Business analytics
  • Capabilities
  • Operations management
  • Supply chain management
  • Value creation


Dive into the research topics of 'Firm-level capabilities towards big data value creation'. Together they form a unique fingerprint.

Cite this