A review of the role of digitalization in health risk management in extractive industries – a study motivated by COVID-19

Author:

Nguyen Trung,Gosine Ray,Warrian Peter

Abstract

Purpose While disruptions as a result of the COVID-19 pandemic resulted in the failure of some companies, others embraced innovative digital technologies to face the challenge posed by COVID-19. The COVID-19 crisis is also an opportunity for the extractive industry (EI) sectors to review their digitalization processes. The purpose of this paper is to conduct a systematic review of infectious disease mitigation in EI and to evaluate the resilience of these industries as they address pandemic prevention and control. Design/methodology/approach Multi-case studies including digital and organizational responses to COVID-19 were analyzed to evaluate the readiness of health risk management (HRM) and resilience of EIs against the pandemic. The evaluation uses Google Scholar and Trends searches to compare the level of relevant activity in EIs with other industries. Findings Although EI sectors have various plans for minimizing pandemic impacts, unexpected disruptions and delays of the COVID-19 responses revealed many limitations of the existing HRM system. Digital technologies (e.g. artificial intelligence-based public health monitoring, digital collaboration, wearable health tracking and 3D printing) demonstrated their remarkable benefits in the pandemic responses and nontechnical elements affecting technology adoption (TA). Originality/value Lessons learned from the deployment of digital technologies against the pandemic help to improve the organizational capacity to deal effectively with future outbreaks and suggest lessons for the future trajectory of TA in these industries.

Publisher

Emerald

Subject

General Engineering

Reference92 articles.

1. Adomaitis, N. and Solsvik, T. (2020), “Equinor’s offshore oil rig infection exposes coronavirus dangers”, Reuters, no. March, available at: www.reuters.com/article/us-health-coronavirus-equinor-idUSKBN20Y0O3 (accessed 1 March 2021).

2. Barriers and facilitators to health information exchange in low- and middle-income country settings: a systematic review;Health Policy and Planning,2016

3. Applications of artificial neural networks in the petroleum industry: a review,2019

4. Barriers to successful health information exchange systems in Canada and the USA: a systematic review;International Journal of Healthcare Information Systems and Informatics,2017

5. Development of a novel safety and health educational management information system (HAZ-PRO) for oil and gas production operation: a proposed framework;Journal of Engineering, Design and Technology,2019

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