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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.

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.

This article examines the fiscal challenges the coronavirus pandemic poses in African countries, using Ghana as a case study and summarizes the country's immediate monetary and fiscal responses to the pandemic. The article also discusses the potential impacts of coronavirus-related shocks on the Ghana economy and policy options the national government may pursue to counteract the pandemic's adverse long-term effects.

The article uses daily and monthly economic indicators to assess the immediate impact of the pandemic on Ghana's economy. The article also uses latest data from the Ghana Living Standards Survey (GLSS) to simulate potential shocks to the economy related to the coronavirus crisis and examines the outcomes from a potential government response that expands spending on an existing direct social assistance program.

The authors find that the coronavirus pandemic is associated with a significant increase in Ghana's poverty measures over time, and an expansion in government spending under an existing cash transfer program would partly offset the economic shocks related to the crisis and improve outcomes for poverty and inequality. The authors also argue that other well-targeted expenditure and revenue policies will support long-term economic resilience.

The research suggests that a temporary expansion of the existing program of direct cash payments to poor households may be an effective social protection policy, as are well-targeted revenue and spending policies that support economic recovery and long-term fiscal sustainability.

The findings imply that while the pandemic might cause severe shocks in the economy, well-targeted spending and revenue policies that are anchored in sound macroeconomic management can promote economic resilience and long-term fiscal sustainability.

Public managers must ensure that national policy responses to the coronavirus pandemic consider socio-economic indicators, such as poverty and income inequality.

The authors present research that uses novel household-level data and an evidence-based microsimulation framework to articulate potential public policy strategies that can guide national responses to, and recovery from, the coronavirus pandemic.

The purpose of this article is to understand how coronavirus impacts relate to existing vulnerabilities in different world regions.

The article utilizes quantitative analysis to examine regional variations in coronavirus risk assessment. It then qualitatively employs a policy coherence for development (PCD) approach to analyze how public policies contribute to or mitigate vulnerability, defined as the product of exposure to external shocks, institutional coping capabilities and risk associated with social divisions in societies.

The research presented below shows that significant regional variance exists in terms of coronavirus risk, based on statistical analysis of the INFORM COVID-19 Risk Report prepared by the European Commission. The PCD analysis highlights important relationships between public policy strategies and the construction of both underlying vulnerabilities and coronavirus impacts.

The PCD approach presented here focuses on the reconciliation of trade-offs. It shows how policy interactions affect vulnerabilities and suggests that coherent policy strategies aimed at reducing vulnerabilities are necessary in order to adequately respond to the coronavirus pandemic.

This analysis frames vulnerability as a socially constructed condition and through implementation of a PCD approach, it indicates how policy strategies contribute to or mitigate vulnerabilities. In doing so, it intends to contribute conceptually to the literature on vulnerability by showing how policy incoherences contribute to the construction of this condition. Empirically, the originality of this article is its statistical analysis of regional variance of coronavirus risk and the qualitative analysis of policy strategies in representative cases and how they have affected vulnerabilities and coronavirus impacts.

This paper aims to introduce the special issue on “sustainability and accounting for non-financial matters: qualitative and quantitative research approaches”. This special issue was organised at the time when the entire globe was affected by the Coronavirus and accordingly, this paper has taken this opportunity to discuss the implications of this pandemic on accounting for non-financial issues, especially in relation to sustainability accounting research and practice.

An analysis of public documents and limited academic research on the Coronavirus was undertaken in this paper to highlight how life as it existed has fundamentally changed. The authors also review the papers published in this special issue and identifies research opportunities arising from the current environment.

The onslaught of the Coronavirus provides both challenges and opportunities for the practice of, and research into, accounting for non-financial matters, such as sustainability. The papers published in this special issue promote understanding and linking of sustainability reporting practices, to creating firm values, as well as identifying current and emerging challenges. The special issue explores criteria for the construction of accounting technology that is consistent with agnostic-based critical accounting and accountability, a business case for managers and practitioners to formulate strategic and management control systems in response to climate change issues, legitimacy and the use of photographs in sustainability reporting to create value, effective disclosures of business and sustainability ethics practiced by the firm for reputation building and value creation, indigenous accounting in mining companies, public sector policy framing of non-financial value, the barriers to sustainability reporting because of lack of awareness and knowledge and inadequate regulatory support in developing countries and the significance of sustainability accounting education to improve sustainability reporting practices in developing countries.

Future research opportunities in relation to the impact of the Coronavirus on accounting for non-financial value are identified. Given that COVID-19 is a societal matter, the practical implications of the Coronavirus in accounting for non-financial value creation are highlighted. The Coronavirus has challenged the existing economic paradigm and non-financial issues will capture the attention of corporations, other institutions, civil society and governments.

The Coronavirus has challenged the existing economic paradigm and non-financial issues will capture the attention of corporations, other institutions, civil society and governments.

Given that COVID-19 is a societal matter, the practical implications of the Coronavirus in accounting for non-financial value creation are highlighted.

This study, to the knowledge, is one of the pioneer academic studies that has explored the implications of the Coronavirus on accounting for non-financial value. In addition, this special issue includes papers that highlight how non-financial reporting matters are increasingly being given attention by companies to enhance business practices on sustainability through different perspectives.