Big data integration with business processes: a literature review

Abstract

Purpose

The purpose of this paper is to improve the understanding of the integration of business process management (BPM), business process re-engineering (BPR) and business process innovation (BPI) with big data. It focusses on synthesizing research published in the period 2006-2016 to establish both what the authors know and do not know about this topic, identifying areas for future research.

Design/methodology/approach

The research is based on a review of 49 published papers on big data, BPM, BPR and BPI in the top journals in the field 2006-2016.

Findings

In this paper, the authors have identified the most influential works based on citations and PageRank methods. Through network analysis the authors identify four major clusters that provide potential opportunities for future investigation.

Practical implications

It is important for practitioners to be aware of the benefits of big data, BPM, BPR and BPI integration. This paper provides valuable insights for practitioners.

Originality/value

This paper is based on a comprehensive literature review, which gives big data researchers the opportunity to understand business processes in depth. In addition, highlighting many gaps in the current literature and developing an agenda for future research, will save time and effort for readers looking to research topics within big data and business processes.

Citation

Fosso Wamba, S. and Mishra, D. (2017), "Big data integration with business processes: a literature review", Business Process Management Journal, Vol. 23 No. 3, pp. 477-492. https://doi.org/10.1108/BPMJ-02-2017-0047