Content area

Abstract

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.

Details

Title
Big data analytics in E-commerce: a systematic review and agenda for future research
Author
Akter, Shahriar; Wamba, Samuel Fosso
Pages
173-194
Publication year
2016
Publication date
May 2016
Publisher
Springer Nature B.V.
ISSN
10196781
e-ISSN
14228890
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1785456852
Copyright
Institute of Applied Informatics at University of Leipzig 2016