Big data analytics capabilities: Patchwork or progress? A systematic review of the status quo and implications for future research

Minh-Tay Huynh, Michael Nippa and Thomas Aichner

Technological Forecasting and Social Change, 2023, vol. 197, issue C

Abstract: This paper presents a systematic literature review of the research field on big data analytics capabilities (BDACs). With the emergence of big data and digital transformation, a growing number of researchers have highlighted the need for organizations to develop BDACs. Despite valuable efforts to examine determinants and contributions to performance measures, the research field on BDACs remains relatively unexplored. The review reveals a patchwork of studies lacking a theoretical and conceptual foundation and questions arise regarding the reliability and validity of predominantly survey-based empirical studies. Drawing on findings from related capability concepts, this paper suggests the use of clearer definitions and items and a greater variety of methods to facilitate further exploration of BDACs. Finally, future research areas and implications are outlined.

Keywords: Big data; Big data analytics capabilities; Dynamic capabilities; IT capabilities; IT strategy (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005693

DOI: 10.1016/j.techfore.2023.122884

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