Organizational agility enabled by big data analytics: information systems capabilities view

Youyung Hyun, Jaehyun Park, Taro Kamioka, Younghoon Chang

Research output: Journal PublicationArticlepeer-review

10 Citations (Scopus)

Abstract

Purpose: The current study aims to structure the existing knowledge about organizational agility from the information systems (IS) capabilities view and synthesizes how agility is enabled by big data analytics (BDA). Design/methodology/approach: This study performs a systematic literature review with the lens of IS capabilities view and provides an integrative framework that represents how BDA improves organizational agility through the mediation of IS capabilities. Findings: This systematic literature review synthesizes what is known and identifies what remains to be further studied with a focus on the relationship between BDA competency and organizational agility, which contributes to academic performance in BDA and agility research communities. Originality/value: Despite a growing body of literature on the relationship between BDA and agility, a consolidated and systematic understanding of how BDA can enable organizational agility is generally missing. Therefore, the current study addresses this gap by proposing an integrative framework that elucidates the processes in which BDA competency leads to agility through the mediation of IS capabilities.

Original languageEnglish
Pages (from-to)1032-1055
Number of pages24
JournalJournal of Enterprise Information Management
Volume36
Issue number4
DOIs
Publication statusPublished - 13 Jun 2023
Externally publishedYes

Keywords

  • Big data analytics (BDA) competency
  • IS capabilities
  • Organizational agility
  • Systematic literature review

ASJC Scopus subject areas

  • Information Systems
  • Library and Information Sciences

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