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Big Data in Business: A Bibliometric Analysis of Relevant Literature
Big Data ( IF 2.6 ) Pub Date : 2020-12-15 , DOI: 10.1089/big.2020.29042.edi
Haitham Nobanee 1, 2, 3
Affiliation  

This special issue was open for submissions in the field of big data in business. Accordingly, this special issue includes five contributions to the fields of business process innovation in the big data era, unstructured big data analytical methods in firms, online analytical processing approach for business intelligence in big data, geospatial insights for retail recommendation using similarity measures, and big data and operational changes through interactive data visualization. A bibliometric approach is used to visualize and highlight the exciting literature on big data followed by highlighting the contribution of this special issue.

中文翻译:

商业大数据:相关文献的文献计量分析

本期特刊对商业大数据领域的投稿开放。因此,本期特刊包括对大数据时代业务流程创新、企业非结构化大数据分析方法、大数据商业智能在线分析处理方法、使用相似性度量的零售推荐地理空间洞察以及通过交互式数据可视化实现大数据和运营变化。文献计量方法用于可视化和突出有关大数据的激动人心的文献,然后突出本特刊的贡献。
更新日期:2020-12-21
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