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In 2020, the coronavirus crisis ruptured societies and their everyday life around the globe. This chapter is a contribution to critically theorising the changes societies have undergone in the light of the coronavirus crisis. It asks: How have everyday life and everyday communication changed in the coronavirus crisis? How does capitalism shape everyday life and everyday communication during this crisis?

This chapter focuses on how social space, everyday life and everyday communication have changed in the coronavirus crisis.

The coronavirus crisis is an existential crisis of humanity and society. It radically confronts humans with death and the fear of death. This collective experience can on the one hand result in new forms of solidarity and socialism or can on the other hand, if ideology and the far-right prevail, advance war and fascism. Political action and political economy are decisive factors in such a profound crisis that shatters society and everyday life.

The COVID-19 pandemic and its related economic meltdown and social unrest severely challenged most countries, their societies, economies, organizations, and individual citizens. Focusing on both more and less successful country-specific initiatives to fight the pandemic and its multitude of related consequences, this chapter explores implications for leadership and effective action at the individual, organizational, and societal levels. As international management scholars and consultants, the authors document actions taken and their wide-ranging consequences in a diverse set of countries, including countries that have been more or less successful in fighting the pandemic, are geographically larger and smaller, are located in each region of the world, are economically advanced and economically developing, and that chose unique strategies versus strategies more similar to those of their neighbors. Cultural influences on leadership, strategy, and outcomes are described for 19 countries. Informed by a cross-cultural lens, the authors explore such urgent questions as: What is most important for leaders, scholars, and organizations to learn from critical, life-threatening, society-encompassing crises and grand challenges? How do leaders build and maintain trust? What types of communication are most effective at various stages of a crisis? How can we accelerate learning processes globally? How does cultural resilience emerge within rapidly changing environments of fear, shifting cultural norms, and profound challenges to core identity and meaning? This chapter invites readers and authors alike to learn from each other and to begin to discover novel and more successful approaches to tackling grand challenges. It is not definitive; we are all still learning.

The present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.

The present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.

The findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”

The originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

Using science mapping analysis approach and co-word analysis, the present study explores and visualizes research fields and thematic evolution of the coronavirus. Based on this method, one can get a picture of the real content of the themes in the mentioned thematic area and identify the main minor and emerging themes.

This study was conducted based on co-word science mapping analysis under a longitudinal study (from 1988 to 2020). The collection of documents in this study was further divided into three subperiods: 1988–1998, 1999–2009 and 2010–2020. In order to perform science mapping analysis based on co-word bibliographic networks, SciMAT was utilized as a bibliometric tool. Moreover, WoS, PubMed and Scopus bibliographic databases were used to download all records.

In this study, strategic diagrams were demonstrated for the coronavirus research for a chronological period to assess the most relevant themes. Each diagram depended on the sum of documents linked to each research topic. In the first period (1988–1998), the most centralizations were on virology and evaluation of coronavirus structure and its structural and nonstructural proteins. In the second period (1999–2009), with due attention to high population density in eastern Asia and the increasing number of people affected with the new generation of coronavirus (named severe acute respiratory syndrome virus or SARS virus), publications have been concentrated on “antiviral activity.” In the third period (2010–2020), there was a tendency to investigate clinical syndromes, and most of the publications and citations were about hot topics like “severe acute respiratory syndrome,” “coronavirus” and “respiratory tract disease.” Scientometric analysis of the field of coronavirus can be regarded as a roadmap for future research and policymaking in this important area.

The originality of this research can be considered in two ways. First, the strategic diagrams of coronavirus are drawn in four thematic areas including motor cluster, basic and transversal cluster, highly developed cluster and emerging and declining cluster. Second, COVID-19 is mentioned as a hot topic of research.

This paper examines the socio-economic impact of COVID-19 and the policy response in African countries.

This study uses discourse analysis to analyse the socio-economic impact of COVID-19 in Africa.

The findings reveal that African countries have been affected by the coronavirus pandemic, and the effect was more severe for African regions compared to other regions. The rising pandemic affected social interaction and economic activities through the imposed social distancing policies that have different levels of strictness in several African countries

The implication of the findings is that social policies can affect the social and economic well-being of citizens. Secondly, the coronavirus outbreak has revealed how a biological crisis can be transformed to a sociological subject. The most important sociological consequence of the coronavirus outbreak for African citizens is the creation of social anxiety among families and households in the region. The outbreak has also shown how vulnerable African societies are in facing health hazards. Policymakers should enforce social policies that unite communities in bad times, to reduce social anxiety.

This is the first paper that explore the socio-economic impact of coronavirus and the policy response in African countries.

The coronavirus (COVID-19) has had a tremendous impact on companies worldwide. However, researchers have no clear idea of the key issues requiring their attention. This paper aims to close this gap by analysing all business-related posts on a coronavirus subreddit (“r/coronavirus”) and identifying the main research streams that are guiding the research agenda for a post-coronavirus world.

We use data from reddit, particularly the subreddit “r/coronavirus” to identify posts that reveal the impact of coronavirus on business. Our dataset has more than 200,000 posts. We used an artificial intelligence–based algorithm to scrape the data with business-related search terms, clean it and analyse the discussion topics.

We show the key topics that address the impact of coronavirus on business, combining them into four themes: essential service provision, bricolage service innovation, responsible shopping practices and market shaping amid crisis. We discuss these themes and use them to develop a service research agenda. The results are reported against the backdrop of service research priorities.

The study identifies four key themes that have emerged from the impact of coronavirus on business and that require scholarly attention. Our findings can guide service research with unique insights provided immediately after the coronavirus outbreak to conduct research that matters to business and helps people in vulnerable positions in a post-coronavirus world.

The present study aims to measure the global research landscape on coronavirus indexed in the Web of Science from 1989 to 2020. The study examines growth rates, authorship trends, institutional productivity, collaborative networks and prominent authors, institutions and countries.

The research literature on coronavirus published globally and indexed in the Web of Science core collection was retrieved using the term “Coronavirus” and its related and synonymous terms (e.g. COVID-19, SARS-COV, SARS-COV-2 and severe acute respiratory syndrome coronavirus) as per the Medical List of Subject Headings. A total of 5,625 publications were retrieved; however, the study was restricted to articles only (i.e. 4,471), and other document types were excluded. Quantitative and visualization techniques were used for data analysis and interpretation. VOSViewer software was employed to map collaborative networks of authors, institutions and countries.

A total of 4,471 articles have been published on coronavirus by 99 countries of the world with the maximum contribution from the USA, followed by the People's Republic of China. The United States, China, Canada, Netherlands and Germany are the front runners in the collaborative network and form strong sub-networks with other countries as well. More than 1,000 institutions collaborate in the field of coronavirus research among 99 contributing countries. The authorship pattern shows that 97.5% of publications are contributed by authors in collaboration in which 77.5% of publications are contributed by four or more than four authors. The range between degree of collaboration (DC) varies from 0.89 in 1993 to 1 in 2000 with an average of 0.96 from 1989 to 2020. The results confirm that the coronavirus research is carried out in teamwork at the individual, institutional and global levels with high magnitude and density of collaboration. The relative growth of the literature has shown inconsistency as a decreasing trend has been observed from 2007 onwards, thereby increasing the doubling time from 4.2 in the first ten years to 17.3 in the last ten years.

The study is limited to the publications indexed in the Web of Science; the findings cannot be generalized across other databases.

The results of the study may help medical scientists to identify the progress in COVID-19 research. Besdies, it will help to identify the prolific authors, institutions and countries in the development of research.

The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.

The current COVID-19 pandemic poses urgent and prolonged threats to the health and well-being of the population worldwide. It has not only attacked the health of the people but also the economy of nations as well. Therefore, it is feasible to know the research landscape of the disease to conquer the problem.

The purpose of this study is to analyze the share of coronavirus publications and its citation-based indicators in various journal impact factor quartiles to discover their relationship and analyze the advantages of Q1 publications.

Bibliometric analyses of world coronavirus research publications (articles and reviews) indexed in Web of Science database over 20 years among four journal quartiles were performed.

The publication and citation shares in various journal quartiles were decreased in the following order: Q1 > Q2 > Q3 > Q4. World coronavirus publications/citations share in Q1 journals were on average 1.78/4.18, 2.75/7.90 and 5.07/27.79 times greater than Q2, Q3 and Q4 publications, respectively. Moreover, similar patterns were obtained for various research performance dimensions: impact, excellence, corporate interest and funding indicators. These indicators of Q1 publications were much better than the corresponding values for world overall and infectious disease literature. Thus, there was a clear research performance advantage of Q1 coronavirus publications.

To the best of the authors’ knowledge, this is the first study analyzing the journal impact factor quartiles and its impact on coronavirus research performance. The results/findings of this study are useful for many stakeholders to enhance the research influence by considering journal impact factor quartiles especially Q1 journals.

Until recently, the business environment was characterized by a world in which nations were more connected than ever before. Unfortunately, the outbreak of coronavirus disease 2019 (COVID-19) has virtually ended the borderless and globalized world we were accustomed to. The World Health Organization (WHO) officially declared COVID-19 a pandemic at a news conference in Geneva on March 11, 2020. The multifaceted nature of this invisible virus is impacting the world at many levels, and this unprecedented pandemic may best be characterized as an economic and health war against humanity. More international cooperation is crucial for effectively dealing with the present pandemic (and future pandemics) because all nations are vulnerable, and it is highly unlikely that any pandemic would affect only one country. Therefore, this case study takes a sociological approach, examining various social institutions and cultural facets (i.e., government, press freedom, information technology [IT] infrastructure, healthcare systems, and institutional collectivism) to understand how South Korea is handling the crisis while drawing important implications for other countries. All aspects of how Korea is handling COVID-19 may not be applicable to other countries, such as those with fewer IT infrastructures and less institutional collectivism. However, its methods still offer profound insights into how countries espousing democratic values rooted in openness and transparency to both domestic and worldwide communities can help overcome the current challenge. As such, the authors believe that Korea's innovative approach and experience can inform other nations dealing with COVD-19, while also leading to greater international collaboration for better preparedness when such pandemics occur in the future. This case study also considers implications for both public policy and organization, and the authors pose critical questions and offer practical solutions for dealing with the current pandemic.

This paper aims to examine the dynamic return and volatility connectedness for six major industrial metals (tin, lead, nickel, zinc, copper and aluminium) and the coronavirus media coverage index (MCI).

To that purpose, this study applies the fresh time-varying parameter vector autoregression methodology (TVP–VAR model) during the sample period between 2 January, 2020, and 16 April, 2021, that is, covering the three waves of the COVID-19 pandemic crisis.

This study’s results show interesting findings. First, dynamic total return and volatility connectedness changes over time, highlighting a significant increase during the third wave of the pandemic. Second, the MCI index is a leading net transmitter in terms of return and volatility at the introduction of the SARS-CoV-2 coronavirus crisis. Third, this study clearly distinguishes two profiles among industrial metals: copper and tin/zinc as net transmitters and lead and aluminium as net receivers. Finally, the most relevant differences between them are concentrated not only at the beginning of the COVID-19 pandemic (first wave) but also during the second and third waves of the coronavirus outbreak.

To the best of the authors’ knowledge, this is the first research that explores the dynamic return and volatility connectedness in the industrial metal market, applying the TVP–VAR methodology during the first waves of the COVID-19 pandemic crisis.