Nguyen, T; Gosine, R and Warrian, P (2022) A review of the role of digitalization in health risk management in extractive industries: a study motivated by COVID-19. Journal of Engineering, Design and Technology, 20(2), pp. 475-496. ISSN 1726-0531
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | COVID-19; digitalization of extractive industries; health risk management; risk management |
| Index terms: | lessons learned, health risk, risk management, outbreak, face, monitoring, organizational capacity, public health, systematic literature review, 3D printing, methodology, prevention, artificial intelligence, digital technology, collaboration, pandemic, case study, mitigation, technology adoption, digitalization, COVID-19 |
| Subjects: | risk assessment, professional development, artificial intelligence, management, control systems, digital technology, innovation and technology management, data collection methods, sociology, research methods, financial risk, manufacturing, health risk and incident analysis, research evaluation and metrics, computing systems, psychology, environmental health |
| Topics: | Health and Safety, Sustainability, Digital Applications, Cost Management, Organizational Design, Site Management, Research Practice, Risk Management, Information Management, Engineering Principles |
| Descriptive scope: | 4 PCTE |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here