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COVID-19 and the New Normal of Organizations and Employees: An Overview
doi: 10.3390/su132111942
COVID-19 and the New Normal of Organizations and Employees: An Overview
The COVID-19 pandemic has hit organizations and employees in every sector worldwide in unprecedented ways. It became extremely difficult for organizations and employees across sectors to operate under increased mobility restrictions. The pandemic effectively disrupted previous operational models and imbued changes such as telework and digital adoption that are pervasive and may potentially last beyond the pandemic. Amid these circumstances, it was essential to ask how organizations and employees will sustain themselves in the post-COVID-19 ”new normal”. Although so much research is conducted about COVID-19, there is no comprehensive view of the changes at the meso (organizational) and micro (individual) levels. This article aims to explain this using the emergency-learning-institutionalization-new normal (ELIN) framework, which is based on the timeline of the pandemic. The article aims to bring forth the overall trends in how organizations and employees are adapting to the pandemic, the lessons they have learned, and how they will change and adapt in a post-COVID-19 “new normal”. We have analyzed existing policy papers, articles published in business, public administration, nonprofit journals, and other studies to achieve this. We find an increasing trend towards the adoption of telework and digital tools at both meso- and micro-levels. The effective implementation of telework policies and digital transformation plans at the meso-level will ensure the sustainability of organizations and jobs in the new normal. Although these trends vary across sectors and within and across countries, there is an overall increase in the flexibility of organizations and employees in adopting new solutions, making them more open to innovation. The article makes important recommendations for organizations to make these transitions more sustainable in the medium and long term.
- National University of Singapore Singapore
- Nazarbayev University Kazakhstan
Microsoft Academic Graph classification: Pandemic Flexibility (engineering) business.industry Public sector Digital transformation Timeline Public relations Private sector New normal Sustainability Business
private sector, Geography, Planning and Development, TJ807-830, Management, Monitoring, Policy and Law, TD194-195, Renewable energy sources, GE1-350, organizations, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, pandemic, public sector, COVID-19, Building and Construction, Environmental sciences, new normal
private sector, Geography, Planning and Development, TJ807-830, Management, Monitoring, Policy and Law, TD194-195, Renewable energy sources, GE1-350, organizations, Environmental effects of industries and plants, Renewable Energy, Sustainability and the Environment, pandemic, public sector, COVID-19, Building and Construction, Environmental sciences, new normal
Microsoft Academic Graph classification: Pandemic Flexibility (engineering) business.industry Public sector Digital transformation Timeline Public relations Private sector New normal Sustainability Business
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citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).48 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).48 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% Powered byBIP!