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COVID-19 Pandemic Waves: 4IR Technology Utilisation in Multi-Sector Economy

Author

Listed:
  • Israel Edem Agbehadji

    (Research, Innovation and Engagement, Central University of Technology, Bloemfontein 9301, South Africa)

  • Bankole Osita Awuzie

    (Centre for Sustainable Smart Cities 4.0, Faculty of Engineering, Built Environment and Information Technology, Central University of Technology, Bloemfontein 9301, South Africa)

  • Alfred Beati Ngowi

    (Research, Innovation and Engagement, Central University of Technology, Bloemfontein 9301, South Africa)

Abstract

In this paper, we reviewed the Fourth Industrial Revolution (4IR) technologies applied to waves of the coronavirus disease (COVID-19). COVID-19 is an existential threat that has resulted in an unprecedented loss of lives, disruption of flight schedules, shutdown of businesses and much more. Though several researchers have highlighted the enormous benefits of 4IR technologies in containing the COVID-19 pandemic, the recent waves of the pandemic call for a thorough review of these technological interventions. The cyber-physical space has had its share of the COVID-19 pandemic effect, and through this review, we highlight the salient issues to help policy formulation towards managing the impact of subsequent COVID-19 waves within such environments. Hence, the purpose of this paper is to review the application of 4IR technologies during the COVID-19 pandemic waves and to highlight their shortcomings. Recent research articles were sourced from an online repository and thoroughly reviewed to highlight 4IR technology applications, innovations, shortcomings and multi-sector challenges. The outcome of this review indicates that the second wave of the pandemic resulted in a lower proportion of patients requiring invasive mechanical ventilation and a lower rate of thrombotic events. In addition, it was revealed that the delay between ICU admissions and tracheal intubation was longer in the second wave in the health care sector. Again, the review suggests that 4IR technologies have been utilized across all the sectors including education, businesses, society, manufacturing, healthcare, agriculture and mining. Businesses have revised their service delivery models to include 4IR technologies and avoid physical contacts. In society, digital certificates, among other digital platforms, have been utilized to assist with the movements of persons who have been vaccinated. Manufacturing concerns have also utilized robots in manufacturing to reduce human-to-human physical contact. The mining sector has automated their work processes, utilising smart boots to prevent infection, smart health bands and smart disinfection tunnels or walkthrough sanitization gates in the mining work environment. However, the identified challenges of implementing 4IR technologies include low-skilled workers, data privacy issues, data analysis poverty, data management issues and many more. The boom in 4IR technologies calls for intense legislation on sweeping data privacy for regulated tech companies. These findings hold salient implications for policy formulation towards tackling future pandemic outbreaks.

Suggested Citation

  • Israel Edem Agbehadji & Bankole Osita Awuzie & Alfred Beati Ngowi, 2021. "COVID-19 Pandemic Waves: 4IR Technology Utilisation in Multi-Sector Economy," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10168-:d:633207
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    References listed on IDEAS

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    1. Oecd, 2014. "Cloud Computing: The Concept, Impacts and the Role of Government Policy," OECD Digital Economy Papers 240, OECD Publishing.
    2. Zhu, Bangren & Zheng, Xinqi & Liu, Haiyan & Li, Jiayang & Wang, Peipei, 2020. "Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
    3. Lee, Sang M. & Lee, DonHee, 2021. "Opportunities and challenges for contactless healthcare services in the post-COVID-19 Era," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    4. Sang M. Lee & DonHee Lee, 2020. "“Untact”: a new customer service strategy in the digital age," Service Business, Springer;Pan-Pacific Business Association, vol. 14(1), pages 1-22, March.
    5. Langthaler, Margarita & Bazafkan, Homa, 2020. "Digitalization, education and skills development in the global South: An assessment of the debate with a focus on Sub-Saharan Africa," Briefing Papers 28, Austrian Foundation for Development Research (ÖFSE).
    6. William Villegas-Ch & Xavier Palacios-Pacheco & Sergio Luján-Mora, 2019. "Application of a Smart City Model to a Traditional University Campus with a Big Data Architecture: A Sustainable Smart Campus," Sustainability, MDPI, vol. 11(10), pages 1-28, May.
    7. Violeta Sima & Ileana Georgiana Gheorghe & Jonel Subić & Dumitru Nancu, 2020. "Influences of the Industry 4.0 Revolution on the Human Capital Development and Consumer Behavior: A Systematic Review," Sustainability, MDPI, vol. 12(10), pages 1-28, May.
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