Big Data Analysis on E-commerce Platform

DOI

10.2991/aebmr.k.210712.031How to use a DOI?

Keywords

Big data analytics, E-commerce, worth of business, challenges, methods

Abstract

Big data analytics (BDA) within e-commerce has now been increasingly emphasized in recent decades. However, as a principle, it is underdeveloped, obstructing its theoretical and practical growth. The discussion part of this paper examines BDA in the field of e-commerce via a systemic literature analysis. Firstly, provides a conceptual context that addresses BDA’s meaning, features, styles, market values, and e-commerce issues. The paper also sparks a wider exploration of future studies and theoretical and practical problems. Overall, the results of the study synthesize a variety of BDA principles (e.g., big data classification, categories, design, market importance, and related theories) to provide valuable insight into cross-cutting analytical tools in e-commerce.

Copyright

© 2021, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yuhao Gao
PY  - 2021
DA  - 2021/07/12
TI  - Big Data Analysis on E-commerce Platform
BT  - Proceedings of the 2021 International Conference on Economic Development and Business Culture (ICEDBC 2021)
PB  - Atlantis Press
SP  - 191
EP  - 195
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210712.031
DO  - 10.2991/aebmr.k.210712.031
ID  - Gao2021
ER  -