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.
Cite
CITATION STYLE
Gao, Y. (2021). Big Data Analysis on E-commerce Platform. In Proceedings of the 2021 International Conference on Economic Development and Business Culture (ICEDBC 2021) (Vol. 182). Atlantis Press. https://doi.org/10.2991/aebmr.k.210712.031
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