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

被引:20
作者
Huynh, Minh-Tay [1 ]
Nippa, Michael [1 ]
Aichner, Thomas [2 ]
机构
[1] Free Univ Bozen Bolzano, Fac Econ & Management, Piazza Univ 1, I-39100 Bozen Bolzano, Italy
[2] South Tyrol Business Sch, Via Luis Zuegg 23, I-39100 Bozen Bolzano, Italy
关键词
Big data; Big data analytics capabilities; Dynamic capabilities; IT capabilities; IT strategy; INFORMATION-TECHNOLOGY CAPABILITY; FIRM PERFORMANCE; DYNAMIC CAPABILITIES; COMPETITIVE ADVANTAGE; BUSINESS ANALYTICS; VALUE CREATION; MANAGEMENT; IMPACT; PATH; ORGANIZATIONS;
D O I
10.1016/j.techfore.2023.122884
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
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页数:21
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