Data analytics in small and mid-size enterprises: enablers and inhibitors for business value and firm performance

Arif Perdana, Hwee Hoon Lee, Sze Kee Koh, Desi Arisandi

Research output: Contribution to journalArticleResearchpeer-review

29 Citations (Scopus)

Abstract

A critical question arises as to whether data analytics (DA) can bring value and improve organizational performance. The benefit offered by DA can be achieved only when organizations are able to direct their attention on the conditioning factors that amplify business value. At the same time, organizations should cautiously resolve the issues that dampen DA business value. This study applied resource-based view (RBV) and the dual factor concept to understand such factors within the Small and Mid-size Enterprises (SMEs) context. The results revealed that information and systems qualities were the catalysts for data analytics business value, whereas lack of understanding and concerns over data security and privacy were the most salient predictors that could prevent SMEs from realizing DA business value. Our study highlights the importance of understanding both enablers and inhibitors in IT business value research. We also offer strategies to stakeholders to help SMEs realize DA business value.

Original languageEnglish
Article number100547
Number of pages20
JournalInternational Journal of Accounting Information Systems
Volume44
DOIs
Publication statusPublished - 22 Mar 2022

Keywords

  • Data analytics
  • Dual factor concept
  • IT business value
  • IT-enabled resources
  • RBV
  • Resource-based view
  • Small-and-midsize enterprises
  • SMEs

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