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A path model linking business analytics, data-driven culture, and competitive advantage

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

Business analytics (BA) has become increasingly important for companies to gain valuable insights from big data and ultimately competitive advantage. However, little empirical evidence exists regarding the mechanisms through which BA impacts on competitive advantage. In light of this paucity, this paper aims to advance our understanding of the impact of BA on competitive advantage. First, this paper provides a BA classification. Second, drawing on contingency theory and the resource-based view, it develops a research model that specifies the paths from BA to competitive advantage. Third, it empirically tests the proposed model using structural equation modelling, offering valuable insights into how different types of BA impact on competitive advantage. Fourth, it systematically tests how resource valu, rarity and inimitability impact on competitive advantage. The findings demonstrate that BA, through the mediation of a data-driven culture, positively impacts on information processing capabilities, which in turn have a positive effect on competitive advantage. The findings also demonstrate that resource valu, rarity and inimitability partially but strongly mediate the impact of information processing capabilities on competitive advantage. Finally, the paper contributes to managers´ knowledge by demonstrating how different types of BA should be implemented to develop information processing capabilities and gain competitive advantage.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Publication milestones

  • Published - 07/06/2014

Publication status

Published - 07/06/2014

Publisher

Association for Information Systems, United States

ISBN (Electronic)

9780991556700

External Publication IDs

  • handle.net: 10547/332972
  • Scopus: 84905837096

Host publication title

ECIS 2014: 22nd European Conference on Information Systems

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