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Predicting supply chain risks through big data analytics: role of risk alert tool in mitigating business disruption

Minseok Park (Department of Information and Decision Sciences, Franklin P Perdue School of Business, Salisbury University, Salisbury, Maryland, USA)
Nitya Prasad Singh (Department of Management, Franklin P Perdue School of Business, Salisbury University, Salisbury, Maryland, USA)

Benchmarking: An International Journal

ISSN: 1463-5771

Article publication date: 8 June 2022

Issue publication date: 11 May 2023

1639

Abstract

Purpose

As organizations globalize, they are facing twin challenges of (1) how to develop actionable intelligence from the vast amount of data flowing into their organization and (2) how to effectively manage the increasing risks to their supply chain. Therefore, the purpose of this paper is to bring these two issues on a single platform to understand how firms can effectively predict supply chain risk by developing and using BDA capabilities, through an automated risk alert tool.

Design/methodology/approach

The authors used a questionnaire-based survey methodology supported by secondary data to collect information related to managerial perceptions on how firms can develop a risk alert tool by improving BDA capabilities. A database of 213 senior and middle-level managers was developed and used to test the proposed hypothesis. Using econometric techniques, the authors identify the conditions necessary for such an automated risk management tool to be effective.

Findings

The results suggest that if organizations focus on developing an effective IT infrastructure supported by a strong BDA capability, they will be able to leverage these capabilities to develop an effective risk management tool. Moderating influences of Upstream and Downstream Supply Chain IT Infrastructure capabilities were also observed on different types of BDA capabilities within a firm. In conclusion, it was argued that the effectiveness of a risk alert tool is dependent on how well firms harness big data analytics capability.

Originality/value

The value of the research stems from the fact that it uses managerial surveys to identify specific BDA capabilities that can enable firms to develop risk resilience capabilities. In addition, the article is one of the few empirical studies that aims to identify how firms can use BDA capabilities within a supply chain context to develop an automated risk alert tool. The article, therefore, contributes to the literature that identifies the value of BDA capabilities within the context of supply chain risk management.

Keywords

Citation

Park, M. and Singh, N.P. (2023), "Predicting supply chain risks through big data analytics: role of risk alert tool in mitigating business disruption", Benchmarking: An International Journal, Vol. 30 No. 5, pp. 1457-1484. https://doi.org/10.1108/BIJ-03-2022-0169

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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