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Big data and risk management in business processes: implications for corporate real estate

Enrico Battisti (Department of Management, University of Turin, Turin, Italy)
S.M. Riad Shams (Northumbria University, Newcastle upon Tyne, UK)
Georgia Sakka (University of Nicosia, Nicosia, Cyprus) (UNICAF University, Larnaca, Cyprus)
Nicola Miglietta (Department of Management, University of Turin, Turin, Italy)

Business Process Management Journal

ISSN: 1463-7154

Article publication date: 19 September 2019

Issue publication date: 7 September 2020

Abstract

Purpose

The purpose of this paper is to improve understanding of the integration between big data (BD) and risk management (RM) in business processes (BPs), with special reference to corporate real estate (CRE).

Design/methodology/approach

This conceptual study follows, methodologically, the structuring inter-textual coherence process – specifically, the synthesised coherence tactical approach. It draws heavily on theoretical evidence published, mainly, in the corporate finance and the business management literature.

Findings

A new conceptual framework is presented for CRE to proactively develop insights into the potential benefits of using BD as a business strategy/instrument. The approach was found to strengthen decision-making processes and encourage better RM – with significant consequences, in particular, for business process management (BPM). Specifically, by recognising the potential uses of BD, it is also possible to redefine the processes with advantages in terms of RM.

Originality/value

This study contributes to the literature in the fields of real estate, RM, BPM and digital transformation. To the best knowledge of authors, although the literature has examined the concepts of BD, RM and BP, no prior studies have comprehensively examined these three elements and their conjoint contribution to CRE. In particular, the study highlights how the automation of data-intensive activities and the analysis of such data (in both structured and unstructured forms), as a means of supporting decision making, can lead to better efficiency in RM and optimisation of processes.

Keywords

Citation

Battisti, E., Shams, S.M.R., Sakka, G. and Miglietta, N. (2020), "Big data and risk management in business processes: implications for corporate real estate", Business Process Management Journal, Vol. 26 No. 5, pp. 1141-1155. https://doi.org/10.1108/BPMJ-03-2019-0125

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited