Big data analytics in E-commerce: a systematic review and agenda for future research

被引:347
作者
Akter, Shahriar [1 ]
Wamba, Samuel Fosso [2 ]
机构
[1] Univ Wollongong, Wollongong, NSW 2500, Australia
[2] NEOMA Business Sch, F-76825 Rouen, France
关键词
Big data analytics; E-commerce; Business value; BUSINESS ANALYTICS; MARKET ORIENTATION; DATA SCIENCE; INFORMATION; TECHNOLOGY; SATISFACTION; ANTECEDENTS; RELIABILITY; FRAMEWORK; ECONOMICS;
D O I
10.1007/s12525-016-0219-0
中图分类号
F [经济];
学科分类号
02 ;
摘要
There has been an increasing emphasis on big data analytics (BDA) in e-commerce in recent years. However, it remains poorly-explored as a concept, which obstructs its theoretical and practical development. This position paper explores BDA in e-commerce by drawing on a systematic review of the literature. The paper presents an interpretive framework that explores the definitional aspects, distinctive characteristics, types, business value and challenges of BDA in the e-commerce landscape. The paper also triggers broader discussions regarding future research challenges and opportunities in theory and practice. Overall, the findings of the study synthesize diverse BDA concepts (e.g., definition of big data, types, nature, business value and relevant theories) that provide deeper insights along the cross-cutting analytics applications in e-commerce.
引用
收藏
页码:173 / 194
页数:22
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