Big Data in Business: A Bibliometric Analysis of Relevant Literature

Big Data. 2020 Dec;8(6):459-463. doi: 10.1089/big.2020.29042.edi.

Abstract

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.

Keywords: bibliometric analysis; big data; business; business intelligence; business process innovation.

Publication types

  • Editorial
  • Introductory Journal Article

MeSH terms

  • Bibliometrics*
  • Big Data*
  • Commerce*