Business Analytics in E-Commerce: A Literature Review

IF 3.4 Q2 MANAGEMENT
Xuemei Li
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引用次数: 3

Abstract

This paper attempts to identify the value and the use of business analytics (BA) in E-commerce, and challenges and trends associated with BA in E-commerce. It systematically examines the literature about BA, with a particular focus on E-commerce. BA has critical value in E-commerce. BA has been used in customer analysis and website usage analysis. The most important factor for the value of E-commerce BA is customer. This paper also suggests an E-commerce BA research model which describes the BA iterative process from data to analysis, to decision, to estimation, and separates BA analysis results as functional-level and competitive-level results. Challenges identified in this paper hold theoretical and practical implications. Future studies could seek an enhanced understanding of BA through quantitative analysis.
电子商务中的商业分析:文献综述
本文试图确定商业分析(BA)在电子商务中的价值和使用,以及与电子商务中BA相关的挑战和趋势。它系统地考察了有关BA的文献,特别关注电子商务。BA在电子商务中具有重要的价值。BA已用于客户分析和网站使用分析。影响电子商务BA价值的最重要因素是客户。本文还提出了一个电子商务BA研究模型,该模型描述了从数据到分析、到决策、到估计的BA迭代过程,并将BA分析结果分为功能级和竞争级结果。本文确定的挑战具有理论和实践意义。未来的研究可以通过定量分析来加强对BA的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
17.00
自引率
16.70%
发文量
31
期刊介绍: The Journal of Industrial Integration and Management: Innovation & Entrepreneurship concentrates on the technological innovation and entrepreneurship within the ongoing transition toward industrial integration and informatization. This journal strives to offer insights into challenges, issues, and solutions associated with industrial integration and informatization, providing an interdisciplinary platform for researchers, practitioners, and policymakers to engage in discussions from the perspectives of innovation and entrepreneurship. Welcoming contributions, The Journal of Industrial Integration and Management: Innovation & Entrepreneurship seeks papers addressing innovation and entrepreneurship in the context of industrial integration and informatization. The journal embraces empirical research, case study methods, and techniques derived from mathematical sciences, computer science, manufacturing engineering, and industrial integration-centric engineering management.
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