Unlocking the drivers of big data analytics value in firms

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

Although big data analytics (BDA) is considered the next “frontier” in data science by creating potential business opportunities, the way to extract those opportunities is unclear. This paper aims to understand the antecedents of BDA value at a firm level. The authors performed a study using a mixed methodology approach. First, by carrying out a Delphi study to explore and rank the antecedents affecting the creation of BDA value. Based on the Delphi results, we propose an empirically validated model supported by a survey conducted on 175 European firms to explain the antecedents of BDA sustained value. The results show that the proposed model explains 62% of BDA sustained value at the firm level, where the most critical contributor is BDA use. We provide directions for managers to support their decisions on BDA strategy definition and refinement. For academics, we extend BDA value literature and outline some potential research opportunities.

Original languageEnglish
Pages (from-to)160-173
Number of pages14
JournalJournal of Business Research
Volume97
Issue numberApril
DOIs
Publication statusPublished - 1 Apr 2019

Keywords

  • Big data analytics (BDA)
  • Competitive advantage
  • Delphi method
  • IT business value
  • Mixed methodology

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