University of Wollongong
Browse

Big data analytics in e-commerce: A systematic review and agenda for future research

Download (1.02 MB)
journal contribution
posted on 2024-11-14, 13:33 authored by Md Shahriar AkterMd Shahriar Akter, Samuel Fosso Wamba
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.

History

Citation

Akter, S. & Fosso Wamba, S. (2016). Big data analytics in e-commerce: A systematic review and agenda for future research. Electronic Markets, 26 173-194.

Journal title

Electronic Markets

Volume

26

Issue

2

Pagination

173-194

Language

English

RIS ID

106039

Usage metrics

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC