Applications of big data in emerging management disciplines: A literature review using text mining

  • Amit Kumar Kushwaha*
  • , Arpan Kumar Kar
  • , Yogesh K. Dwivedi
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

256 Scopus citations

Abstract

The importance of data-driven decisions and support is increasing day by day in every management area. The constant access to volume, variety, and veracity of data has made big data an integral part of management studies. New sub-management areas are emerging day by day with the support of big data to drive businesses. This study takes a systematic literature review approach to uncover the emerging management areas supported by big data in contemporary times. For this, we have analyzed the research papers published in the reputed management journals in the last ten years, fir using network analysis followed by natural language processing summarization techniques to find the emerging new management areas which are yet to get much attention. Furthermore, we ran the same exercise in each of these management areas to uncover these areas better. This research will act as a reference for future information systems (IS) scholars who want to perform analysis that is deep-dive in nature on each of these management areas, which in the coming times will get all the due attention to become dedicated research domains in the management area. We finally conclude the study by identifying the scope of future research in each of these management areas, which will be a true value addition for IS researchers.

Original languageEnglish
Article number100017
JournalInternational Journal of Information Management Data Insights
Volume1
Issue number2
DOIs
StatePublished - Nov 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021

Keywords

  • Artificial intelligence
  • Big data
  • Data science
  • Finance
  • Marketing
  • Operations management
  • Services management

ASJC Scopus subject areas

  • Management Information Systems
  • Information Systems
  • Industrial and Manufacturing Engineering
  • Library and Information Sciences
  • Information Systems and Management
  • Artificial Intelligence

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