A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies

A Novel Multi-Criteria Assessment Approach for Post-COVID-19 Production Strategies in Vietnam Manufacturing Industry: OPA–Fuzzy EDAS Model

The global manufacturing supply chain has been disrupted by the negative impacts of the pandemic. In Southeast Asia, Vietnam’s manufacturing industry is one of the most strongly integrated with global and regional supply chains. The production strategies in the “new normal” are the key solution to the survival and sustainable development of manufacturers. This study aims to develop a two-stage framework to investigate the impacts of COVID-19 and the post-COVID-19 production strategies for Vietnam’s manufacturing industry. As a theoretical contribution, this study proposes a novel and robust integration approach, which combines the Ordinal Priority Approach (OPA) and Fuzzy Evaluation Based on Distance from Average Solution (Fuzzy EDAS), for the first time. The negative impacts of the pandemic were identified and weighted by the OPA method. Then, production strategies were comprehensively evaluated using the Fuzzy EDAS method. Findings indicate that digitization and on-site renewable energy are the most essential recovery strategies for manufacturing in Vietnam. These findings are validated by comparisons with the results of recent multiple criteria decision-making (MCDM) methods. Furthermore, weight sensitivity analysis reveals different suitability of strategies for short-term and long-term negative impacts. As a managerial implication, the multi-scenario ranking results help managers to make resource-allocation decisions for the implementation of post-COVID-19 production strategies.

Use of hyphenated analytical techniques to identify the bioactive constituents of Gunnera perpensa L., a South African medicinal plant, which potently inhibit SARS-CoV-2 spike glycoprotein-host ACE2 binding

SARS-CoV-2, the causative agent of COVID-19, continues to cause global morbidity and mortality despite the increasing availability of vaccines. Alongside vaccines, antivirals are urgently needed to combat SARS-CoV-2 infection and spread, particularly in resource-limited regions which lack access to existing therapeutics. Small molecules isolated from medicinal plants may be able to block cellular entry by SARS-CoV-2 by antagonising the interaction of the viral spike glycoprotein receptor-binding domain (RBD) with the host angiotensin-converting enzyme II (ACE2) receptor. As the medicinal plant Gunnera perpensa L. is being used by some South African traditional healers for SARS-CoV-2/COVID-19 management, we hypothesised that it may contain chemical constituents that inhibit the RBD-ACE2 interaction. Using a previously described AlphaScreen-based protein interaction assay, we show here that the DCM:MeOH extract of G. perpensa readily disrupts RBD (USA-WA1/2020)-ACE2 interactions with a half-maximal inhibition concentration (IC₅₀) of < 0.001 µg/mL, compared to an IC₅₀ of 0.025 µg/mL for the control neutralising antibody REGN10987. Employing hyphenated analytical techniques like UPLC-IMS-HRMS (method developed and validated as per the International Conference on Harmonization guidelines), we identified two ellagitannins, punicalin (2.12% w/w) and punicalagin (1.51% w/w), as plant constituents in the DCM:MeOH extract of G. perpensa which antagonised RBD-ACE2 binding with respective IC₅₀s of 9 and 29 nM. This good potency makes both compounds promising leads for development of future entry-based SARS-CoV-2 antivirals. The results also highlight the advantages of combining reverse pharmacology (based on medicinal plant use) with hyphenated analytical techniques to expedite identification of urgently needed antivirals.

The Relevance of the Circular Economy for Climate Change: An Exploration through the Theory of Change Approach

The relevance of the circular economy for climate change is still a developing area of research that needs to be explored. This paper aims to provide an overview of the relevance of the circular economy for climate change through the theory of change approach framework. For this purpose, we analysed 96 articles from the Scopus and WoS databases in the “Arts and Humanities, Business, Management and Accounting, Economics, Econometrics and Finance and Social Sciences,” with the keywords “Circular economy” and “Climate Change”. Our analysis shows that 87% of the reviewed articles showed a strong relevance of the circular economy for climate change. However, most of the articles focused on the mitigation aspect of climate change. The circular economy is widely practised in countries such as the United Kingdom, Italy, Belgium, and China. Our main theoretical contribution is in developing a logical framework through the theory of change, which is a novel approach in social science research apart from monitoring and evaluation studies.

Analyzing and visualizing global research trends on COVID-19 linked to sustainable development goals

This study is intended to afford a comprehensive overview of the implications of COVID-19 on progress toward achieving the sustainable development goals (SDGs) set out in the United Nations (UN) 2030 Agenda and the state of related research activities on COVID-19 linked to the SDGs. Bibliometric techniques and visual mapping are proposed as methodological tools to better approach the objectives of the present work. This includes: retrieving related publications from Scopus database, investigating the trends and growth trajectories of research works, and analyzing the scenarios post-COVID-19 either optimistic or pessimistic outlooks. The national and international contributions and collaboration toward this theme of research are further analyzed at countries, institutions, and sources levels. This analysis indicates that research works conducted on the impacts of COVID-19 on the achievement of the SDGs are still in the immaturity level. The global research productivity on this topic was just 160 documents (0.19% of total global research productivity in all fields of science with relevance to COVID-19). The implications of COVID-19 on good health and well-being, SDG-3, have attracted considerable attention. It is followed by SDG-13 that concerned with climate changes. The post-COVID-19 scenarios showed deep and justified worries in relation to achieving the SDGs by 2030. This study figures the major issues debated in the literature with respect to COVID-19 and its implications on the SDGs. The study, furthermore, attempts to assess the required actions to advance the SDGs post-COVID-19.

The Circular Economy Challenge: Towards a Sustainable Development

As it is now known, we have only one earth available for our life and it is our duty to preserve it [...]

Estimating CO2 emissions from emergency-supply transport: The case of COVID-19 vaccine global air transport

The environmental cost of disaster-related emergency supplies is significant. However, little research has been conducted on the estimation of emergency-supply transportation-related carbon emissions. This study created an "emergency supply emission estimation methodology" (ESEEM). The CO2 emissions from the global air dispatch of COVID-19 vaccines were estimated using two hypothetical scenarios of one dose per capita and additional doses secured. The robustness of the model was tested with the Monte Carlo Simulation method (MCM) based one-sample t-test. The model was validated using the "Expression of Uncertainty in Measurement (GUM)" and GUM's MCM approaches. The results showed that to dispatch at least one dose of the COVID-19 vaccine to 7.8 billion people, nearly 8000 Boeing 747 flights will be needed, releasing approximately 8.1 ± 0.30 metric kilotons (kt) of CO2. As countries secure additional doses, these figures will increase to 14,912 flights and about 15 ± 0.48 kt of CO2. According to the variance-based sensitivity analysis, the total number of doses (population), technology, and wealth play a significant role in determining CO2 emissions across nations. Thus, wealthy nations' long-term population reduction efforts, technological advancements, and mitigation efforts can benefit the environment as a whole and the CO2 burdens associated with current COVID-19 and any future disasters' emergency-supply transportation.

A network SIRX model for the spreading of COVID-19

Infectious diseases, such as the current COVID-19, have a huge economic and societal impact. The ability to model its transmission characteristics is critical to minimize its impact. In fact, predicting how fast an infection is spreading could be a major factor in deciding on the severity, extent and strictness of the applied mitigation measures, such as the recent lockdowns. Even though modelling epidemics is a well studied subject, usually models do not include quarantine or other social measures, such as those imposed in the recent pandemic. The current work builds upon a recent paper by Maier and Brockmann (2020), where a compartmental SIRX model was implemented. That model included social or individual behavioural changes during quarantine, by introducing state X , in which symptomatic quarantined individuals are not transmitting the infection anymore, and described well the transmission in the initial stages of the infection. The results of the model were applied to real data from several provinces in China, quite successfully. In our approach we use a Monte-Carlo simulation model on networks. Individuals are network nodes and the links are their contacts. We use a spreading mechanism from the initially infected nodes to their nearest neighbours, as has been done previously. Initially, we find the values of the rate constants (parameters) the same way as in Maier and Brockmann (2020) for the confirmed cases of a country, on a daily basis, as given by the Johns Hopkins University. We then use different types of networks (random Erdős-Rényi, Small World, and Barabási-Albert Scale-Free) with various characteristics in an effort to find the best fit with the real data for the same geographical regions as reported in Maier and Brockmann (2020). Our simulations show that the best fit comes with the Erdős-Rényi random networks. We then apply this method to several other countries, both for large-size countries, and small size ones. In all cases investigated we find the same result, i.e. best agreement for the evolution of the pandemic with time is for the Erdős-Rényi networks. Furthermore, our results indicate that the best fit occurs for a random network with an average degree of the order of〈 k 〉 ≈ 10-25, for all countries tested. Scale Free and Small World networks fail to fit the real data convincingly.

Anthropause Opportunities: Experimental Perturbation of Road Traffic and the Potential Effects on Wildlife

The SARS-CoV-2 pandemic severely reduced many human activities. So pronounced was the change, it has given rise to the term “anthropause”: the considerable alteration of modern human activities. Among these was surface transportation, with prolonged traffic reductions, in excess, of 50% in many countries. Roads and traffic are responsible for functionally fragmenting ecosystems, wildlife populations, and species interactions. The unintentional “dialing-down” of traffic has given continuous monitoring systems of wildlife-vehicle conflict a unique opportunity to study the consequences of perturbing this source of wildlife disturbance and mortality. Experimental manipulation of traffic at the global scale would not have been possible without mitigation responses to SARS-CoV-2. Such a perturbation allows robust empirical investigation into wildlife responses to traffic, including changes in mortality, behavior, genetic connectivity, and knock-on ecosystem effects, the responses to which can be replicated across a global network of wildlife-vehicle conflict monitoring systems. We review the extent to which these extensive data-collection systems provide the primary source of data to study many of these responses, providing the raw material to understand some striking wildlife consequences of the anthropause.

Increased Shamal winds and dust activity over the Arabian Peninsula during the COVID-19 lockdown period in 2020

While anthropogenic pollutants have decreased during the lockdown imposed as an effort to contain the spread of the Coronavirus disease 2019 (COVID-19), changes in particulate matter (PM) do not necessarily exhibit the same tendency. This is the case for the eastern Arabian Peninsula, where in March-June 2020, and with respect to the same period in 2016-2019, a 30 % increase in PM concentration is observed. A stronger than normal nocturnal low-level jet and subtropical jet over parts of Saudi Arabia, in response to anomalous convection over the tropical Indian Ocean, promoted enhanced and more frequent episodes of Shamal winds over the Arabian Peninsula. Increased surface winds associated with the downward mixing of momentum to the surface fostered, in turn, dust lifting and increased PM concentrations. The stronger low-level winds also favoured long-range transport of aerosols, changing the PM values downstream. The competing effects of reduced anthropogenic and increased dust concentrations leave a small positive signal (<5 W m-2) in the net surface radiation flux (Rnet), with the former dominating during daytime and the latter at night. However, in parts of the Arabian Gulf, Sea of Oman and Iran Rnet increased by >20 W m-2 with respect to the baseline period, owing to a clearer environment and weaker winds. It is concluded that a reduction in anthropogenic emissions due to the lockdown does not necessarily go hand in hand with lower particulate matter concentrations. Therefore, emissions reduction strategies need to account for feedback effects in order to reach the planned long-term outcomes.

Optimization of COVID-19 face mask waste fibers and silica fume as a balanced mechanical ameliorator of fat clay using response surface methodology

The balanced amelioration of mechanical characteristics of fat clay with an additive refers to the attainment of high strength without compromising ductility, which is unattainable by solitary usage of a cementing additive. For this purpose, an amalgamated binary admixture (ABA) is proposed by assimilating shredded face mask (FM) waste, which is posing serious environmental concerns these days, with a cementitious waste material, i.e., silica fume (SF). However, for such ABA, the optimization of mix design is desirable because an excessive amount of one component could disturb the required balance. To address this issue, response surface methodology (RSM) is used in the current study, which is a strong technique used during the process of production to develop, improve, and optimize product inputs. Several experiments are designed and conducted to evaluate mechanical responses, i.e., unconfined compressive strength (qu), brittleness index (IB), deformability index (ID), and California bearing ratio (CBR) value, of treated fat clay by varying mix designs of ABA. Based on the test results, mathematical models are developed which are found to be statistically valid to predict the subjected responses using SF and FM as inputs. Afterward, an optimized mix design is determined by integrating developed models with a desirability function model and setting maximization of strength and ductility as the optimization goals. An ABA having 7.9% SF and 1.2% FM is observed to provide the highest strength and ductility for multiple applications, i.e., road and buildings, with desirability factor close to unity; responses of which are also validated by performing tests. Furthermore, analysis of cleaning aspect shows that the use of optimized ABA in place of cement for subgrade improvement of 1 km two-lane road could avoid CO2 emission of around 79,032 kg of C, save 42,720 kWh and 1174.8 GJ of electrical and thermal energy, respectively, and clean 43 Mg of FM waste; however, astute protocols of COVID-19 FM waste handling and disinfection are needed to be established and followed.

Cryosphere Services to Advance the National SDG Priorities in Himalaya-Karakoram Region

The cryosphere in the Himalaya-Karakoram (H-K) is widespread, and its services significantly affect the SDGs implementation in the region, in particular related to the ‘No poverty’ (SDG 1), ‘zero hunger’ (SDG 2), ‘good health and well-being’ (SDG 3), ‘work and economic’ (SDG 8) and ‘partnership for the goals’ (SDG 17). We here established the networks to illustrate the complex relationship of cryosphere services with national SDG priorities in the countries of H-K, including Afghanistan, Pakistan, India, China, Nepal and Bhutan. The cryosphere services contributing to the national SDG priorities and the key targets were elucidated in line with the centralities of the network. It was found that ‘freshwater’, ‘clean energy’, ‘runoff regulation’, ‘climate regulation’, ‘research and education’ and ‘infrastructure and engineering’ are the services that play critical roles in H-K, and they were then applied to assess the impact of cryosphere services on the national SDG priorities. We subsequently identified a set of principal indicators in relation to the key targets of national SDG priorities, which has the explanation up to 85% of six entry points (SEPs) to advance SDGs of each country in H-K. In conjunction with the centrality of the key targets to be contributed by the overall cryosphere services in the network for each country, the dependency of SEPs on the cryosphere services can be established through principal indicators in association with the national SDG priorities in H-K countries.

Impact of Organizational Dehumanization on Employee Knowledge Hiding

Knowledge hiding has become an alarming issue for the organizations. Knowledge hiding is an employee's intentional attempt to conceal knowledge requested by others at the workplace. Employee knowledge hiding significantly influences an organization's effective functioning. This research is an attempt to extend previous work on antecedents of knowledge hiding. Drawing on conservation of resources theory, it is proposed that receiving poor treatment by organizations in the form of organizational dehumanization creates psychological distress among employees toward the organization. Distress among workers in turn intervenes the path and increases the likelihood of engaging in knowledge hiding behaviors. An employee's felt obligation for constructive change (FOCC) may moderate the relationship between organizational dehumanization and employee psychological distress. Data for the current study were collected from 245 employees of the telecommunication sector in three-time lags. The results support the direct and indirect effect of organizational dehumanization on employee knowledge hiding behaviors through the mediation of psychological distress. The results also support the moderation of FOCC between organizational dehumanization and psychological distress. Furthermore, the findings of the study may help organizational practitioners and managers about the value of effective organizational climate and practices for better organizational functioning through knowledge sharing and providing insight into undesirable repercussions of organizational dehumanization. Implications for organizations and practitioners are discussed.

A Review on Digitalization of CSR during the COVID-19 Pandemic in Indonesia: Opportunities and Challenges

The COVID-19 pandemic has become a global problem since first appearing in 2020. Not only does it heavily affect the health sector, but it also spreads to other sectors such as social, economic, and education. Studies have shown that many global companies, including those based in Indonesia, contribute to the global pandemic mitigation by implementing Corporate Social Responsibility (CSR) programs. So far, the implementation of CSR is mainly focused on providing food, medicines, and vitamins, as well as medical facilities and equipment. On the other hand, other reviewed studies showed that the pandemic has transformed the CSR implementation from offline to online, also known as CSR digitalization. The limitation in mobility and strict social distancing rules by the government have resulted in this emergence of CSR digitalization initiatives. Although CSR digitalization is still relatively rare, several technology companies have started implementing it. CSR digitalization practices aim to empower micro, small, and medium enterprises (MSME) to master digital competencies and increase their economic condition affected by the pandemic. Companies implementing CSR digitalization reported a more efficient and effective CSR implementation. This article can potentially introduce a new paradigm to the industry players on the importance of CSR digitalization and future opportunities due to the changes in the behavior of society post-pandemic.

Novel Insights in the Leadership in Business and Economics: A Post-Coronavirus Update

Our world is evolving at an incredibly enormous speed and what was impossible three years ago is now a reality. The concept of leadership and leaders has also undergone profound transformations. Moreover, the recent COVID-19 pandemic caused a digital surge in the ways economic life, business, or education are perceived or conducted. The pandemic proved that small and large businesses, industries, and the whole economies can be suddenly upended by massive technological shifts. Hence, there is a need for a theoretical research update in leadership in business and economics that would bring new insights into this topic and define its place within the context of Sustainable Development Goals (SDGs). Our paper presents the novel insights for the leaders and the leadership concept in business and economics from various approaches and angles of view in the light of the COVID-19 pandemic with a focus on sustainable leadership and organizational resilience. It aims at outlying the theoretical background of leadership in business and economics after the pandemic and bringing up interesting and recent leadership case studies from all around of the world. Moreover, this paper aims as sharing the valuable insights into what it means to be a sustainable leader in business and economics, why leaders are needed, and how to become one. The main criteria of this research and its instrumentation include both the theoretical discussion based on the literature review and analysis and the empirical analysis that supports these theoretical provisions. The paper features an empirical model that assesses how business and economic leaders are searching for new ways of work and personal development during and after the COVID-19 pandemic using the own data from the 400 respondents collected in the Czech Republic and Russia. We found that the pandemic enhanced the emotional creativity of business and economic leaders and made them to invest and engage more into using new digital technologies and fundamentally altering the old ways of managing and governing their respective companies and institutions. Our results might provide valuable food for thought both for academics working on various angles of leadership, as well as for entrepreneurs and businesspeople who want to receive recent updates on the topic of leadership to use them in their daily work.

COVID-19 and industrial waste mitigation via thermochemical technologies towards a circular economy: A state-of-the-art review

The increasing awareness of waste circular economy has motivated valorization strategies for minimizing resource consumption and waste production in the private sector. With the rise of various industrial wastes and with the emergence of COVID-19 wastes, a sustainable approach is needed to mitigate the growing concern about wastes. Thermochemical treatment technologies in the form of direct combustion, torrefaction, pyrolysis, and gasification have been identified to have vital roles in the value-creation of various waste streams. Moreover, the alignment of thermochemical processes for waste mitigation concerning the circular economy framework needs to be established. Accordingly, a comprehensive review of the different thermochemical treatment options for industrial and the novel COVID-19 medical wastes streams is conducted in this study. This review focuses on highlighting the instrumental role of thermochemical conversion platforms in achieving a circular economy in the industrial sector. Various strategies in waste mitigation through various thermochemical processes such as management, recovery, reduction, and treatment are discussed. The results show that thermochemical technologies are beneficial in addressing the sustainability concerns on mitigating wastes from the industrial sector and wastes brought by the COVID-19 pandemic. This also includes the current issues faced as well as future perspectives of the thermochemical conversion technologies.

Renewable energy as a source of electricity for Murzuq health clinic during COVID-19

Abstract

A great number of populations of the world, primarily in developing countries, are living in rural areas and are commonly isolated from the grid connection. Unstable power supply and increasing energy prices have significant effects on developing countries, especially during this COVID-19 pandemic. Renewable energy sources can provide sustainable and efficient electricity supply. Murzuq is a rural community situated in the southern part of Libya and endowed with renewable energy resources. While there is high electricity consumption during the lockdown, health clinics also experienced higher energy consumption of longer operating hours and an increased number of electrical appliances. This study investigates the techno-economic assessment of three different hybrid energy systems for health clinics in Murzuq. HOMER (Hybrid optimization model for electric renewables) software tool was used to evaluate the feasibility of employing renewable energy, to provide sustainable energy supply to the clinic. The current unsteady energy supply comes from the national grid and the current energy supply is not sufficient for the clinic's operating hours and requires a sustainable and steady supply. Measured data collected from the health clinic and HOMER software were used to analyze and optimize the change in overall electricity demand for the health clinic before and during the COVID-19 pandemic. The results showed that the photovoltaic/battery hybrid energy system has a lower net present cost, compared to the Photovoltaic/Generator set/ battery hybrid energy system, but higher than the standalone generator set. However, the highest amount of carbon emission associated with the standalone generator set compared to the other two hybrid energy systems disqualifies it from being a suitable contender for the source of electricity for the health clinic. The photovoltaic/battery was deemed to be most economically beneficial in terms of emission reduction and energy price. The outcomes of this investigation will help stakeholders and designers to optimize hybrid energy systems that economically meet the health clinic energy demands, especially during this pandemic.

Graphical abstract

Experimenting with New Ways of Circular and Participatory Design: The Case Study of a Traditional Sicilian Architecture Transformed for Experiential Tourism

Circular economy, participatory design, and experiential tourism are the starting points for the “Il Pagliaru Novu” research project, whose aim is to redesign, in an innovative scope, a traditional Sicilian rural architecture called pagliaru. This paper aims to present such research, which experimented—in parallel—a circular design approach and a virtual participatory design experience to develop a microarchitecture for experiential tourism. We describe the method and design process behind the Pagliaru Novu, and the features—combining tradition and innovation—of such microarchitecture. The design, and especially the entire design process, highlights how a series of constraints related to the pandemic may turn into opportunities.

Dividend announcement effect analysis before and during the COVID-19 pandemic in the Indonesia Stock Exchange

The emergence of the SARS-CoV-2 or COVID-19 pandemic has become a challenge for the global society, including the investors in the capital market, due to the uncertainty it has caused. In relation to the phenomenon, this research aimed to examine the impact of COVID-19 pandemic on the dividend announcement effect in Indonesia Stock Exchange by comparing the market volatility around the dividend announcement date of the selected stocks in 2019 and 2020. Implication of dividend increase and decrease as well as stock-risk profiling is also added for further learning. This research used event study methodology as a tool to analyze the data of the 23 sample companies taken from the LQ45 index. The period of analysis is ranged from 10 days before the dividend announcement to 10 days after the dividend announcement date. The study discovered that in 2019, the capital market presented a weak response toward the event, indicated by the inexistence of abnormal return. Moreover, in 2020, the dividend announcement effect caused negative insignificant abnormal returns and the number of companies with low volatility increased, which implies that the stock market is more pessimistic during the pandemic period. Even when the dividend amount increased from the previous period, the market still shows a negative reaction to it in 2020.

Sustainable municipal solid waste management (MSWM) in the smart cities in Indian context

Purpose

Smart cities in India are going to be a reality very soon by turning challenges into opportunities for the society. However, due to rapid increase in population burden, fast urbanization and growing demand of advanced services in the smart cities, the quantity of per capita municipal solid waste (MSW) has escalated. Moreover, the COVID-19 pandemic has further challenged the municipal solid waste management (MSWM) system with the increasing amount of infectious wastes coming from households (HHs), quarantine centers, healthcare facilities, vaccination centers, etc. Therefore, the present study attempts to explore and analyze the various dimensions of sustainable MSWM system in the smart cities.

Design/methodology/approach

The study identifies 13 factors of sustainable MSWM system from the literature, field surveys and stakeholders' opinions. Thereafter, stakeholders' opinions are collected and analyzed using total interpretive structural modeling (TISM) approach to explore the interrelationships among the factors of sustainable MSWM system. These relationships are further validated through the empirical investigation of the real-life case study of Rourkela Municipal Corporation (RMC), Odisha, India.

Findings

The TISM approach places all 13 factors into six levels in the hierarchical digraph depending upon the inputs received from the various stakeholders on their interrelationships. Study also validates the proposed TISM model by collecting the data of RMC, Odisha, on the development of MSWM system over the period of 2015–2021.

Practical implications

The study also highlights various implications for the other developing cities and stakeholders to set up the roadmap for developing the sustainable MSWM system. Study defines “IT platform” and “awareness among citizens” as the base of the sustainable MSWM system in any smart city.

Originality/value

The present study is the first of its kind to explore the interrelationships among the factors of sustainable MSWM system by using TISM approach. Moreover, the proposed TISM framework is further validated through the empirical journey of one of the smart cities in India.

Sustainable Value Chain of Industrial Biocomposite Consumption: Influence of COVID-19 and Consumer Behavior

The COVID-19 pandemic has been one of the most unprecedented crises of recent decades with a global effect on society and the economy. It has triggered changes in the behavior and consumption patterns of both final consumer and industrial consumers. The consumption patterns of industrial consumers are also influenced by changes in consumer values, environmental regulations, and technological developments. One of the technological highlights of the last decade is biocomposite materials being increasingly used by the packaging industry. The pandemic has highlighted the problems and challenges of the development of biocomposites to adapt to new market conditions. This study aims to investigate the industrial consumption of biocomposite materials and the influence of the COVID-19 pandemic on the main stages of the value chain of sustainable industrial consumption of biocomposites. The research results reveal there is a growing interest in the use of biocomposites. Suppliers and processors of raw materials are being encouraged to optimize and adapt cleaner production processes in the sustainable transition pathway. The study highlights the positive impact of COVID-19 on the feedstock production, raw material processing, and packaging manufacturing stages of the value chain as well as the neutral impact on the product manufacturing stage and negative impact on the retail stage. The companies willing to move toward the sustainable industrial chain have to incorporate economic, environmental, social, stakeholder, volunteer, resilience, and long-term directions within their strategies.

An evaluation of critical knowledge areas for managing the COVID-19 pandemic

Purpose

The ability to manage the COVID-19 pandemic is contingent upon the ability to effectively manage its heterogeneous knowledge resources. Knowledge mapping represents a great opportunity to create value by bringing stakeholders together, facilitating comprehensive collaboration and facilitating broader in-depth knowledge sharing and transfer. However, identifying and analysing critical knowledge areas is one of the most important steps when creating a knowledge map. Therefore, the purpose of this paper is to appraise the critical knowledge areas for managing COVID-19, and thereby enhance decision-making in tackling the consequences of the pandemic.

Design/methodology/approach

The methodological approach for this study is a critical literature review, covering publications on knowledge management, knowledge mapping and COVID-19. EBSCOhost, PubMed, Scopus, Science Direct, TRID, Web of Science and Wiley Online Library were searched for full text, peer-reviewed articles written in English that investigated on critical knowledge areas for managing the spread of COVID-19. After full screening, 21 articles met the criteria for inclusion and were analysed and reported.

Findings

The study revealed seven critical knowledge areas for managing the COVID-19 pandemic. These are cleaning and disinfection; training, education and communication; reporting guidance and updates; testing; infection control measures, personal protective equipment; and potential COVID-19 transmission in health and other care settings. The study developed a concept knowledge map illustrating areas of critical knowledge which decision-makers need to be aware of.

Practical implications

Providing decision-makers with access to key knowledge during the COVID-19 pandemic seems to be crucial for effective decision-making. This study has provided insights for the professionals and decision-makers identifying the critical knowledge areas for managing the COVID-19 pandemic.

Social implications

The study advances the literature on knowledge management and builds a theoretical link with the management of public health emergencies. Additionally, the findings support the theoretical position that knowledge maps facilitate decision-making and help users to identify critical knowledge areas easily and effectively.

Originality/value

This study fills gaps in the existing literature by providing an explicit representation of know-how for managing the COVID-19 pandemic. This paper uses an objective and qualitative approach by reviewing related publications, reports and guidelines in the analysis. The concept map illustrates the critical knowledge areas for managing the COVID-19 pandemic.

Assessment of Building Automation and Control Systems in Danish Healthcare Facilities in the COVID-19 Era

A well-designed and properly operated building automation and control system (BACS) is key to attaining energy-efficient operation and optimal indoor conditions. In this study, three healthcare facilities of a different type, age, and use are considered as case studies to investigate the functionalities of BACS in providing optimal air quality and thermal comfort. IBACSA, the first-of-its-kind instrument for BACS assessment and smartness evaluation, is used to evaluate the current systems and their control functionalities. The BACS assessment is reported and analyzed. Then, three packages of improvements were implemented in the three cases, focusing on (1) technical systems enhancement, (2) indoor air quality and comfort, and (3) energy efficiency. It was found that the ventilation system domain is the best performer in the three considered cases with an overall score of 52%, 89% and 91% in Case A, B, and C, respectively. On the other hand, domestic hot water domain scores are relatively low, indicating that this is an area where Danish healthcare facilities need to provide more concentration on. A key finding indicated by the assessment performed is that the three buildings score relatively very low when it comes to the impact criteria of energy flexibility and storage.

COVID-19 pandemic and the exchange rate movements: evidence from six major COVID-19 hot spots

The study’s primary objective is to unravel the nexus between the COVID-19 crisis and the exchange rate movements in the six major COVID-19 hot spots—Brazil, China, India, Italy, Turkey, and the United Kingdom. The impact of the COVID-19 deaths on the Rupee/USD, Pound/USD, Yuan/USD, Real/USD, Lira/USD, and Euro/USD exchange rates is analyzed by using the panel ARDL model. The COVID-19 deaths are used as a proxy for market expectations. The panel ARDL model showed a unidirectional long-run causality running from the COVID-19 deaths to the exchange rate. In fact, the coefficient of COVID-19 deaths is positive and significant in explaining the exchange rate(s) in the long run. This result meets the a-priori expectation that a rise in COVID-19 deaths can depreciate the sample countries’ exchange rates. The reason being, the ongoing COVID-19 pandemic has changed the market expectations of the financial market participants about the future value of exchange rate(s) in the major COVID-19 hot spots. Therefore, countries experiencing a sharp daily rise in COVID-19 deaths typically saw their currencies weaken.

COVIDSeq as Laboratory Developed Test (LDT) for Diagnosis of SARS-CoV-2 Variants of Concern (VOC)

Rapid classification and detection of SARS-CoV-2 variants have been critical in comprehending the virus's transmission dynamics. Clinical manifestation of the infection is influenced by comorbidities such as age, immune status, diabetes, and the infecting variant. Thus, clinical management may differ for new variants. For example, some monoclonal antibody treatments are variant-specific. Yet, a U.S. Food and Drug Administration (FDA)-approved test for detecting the SARS-CoV-2 variant is unavailable. A laboratory-developed test (LDT) remains a viable option for reporting the infecting variant for clinical intervention or epidemiological purposes. Accordingly, we have validated the Illumina COVIDSeq assay as an LDT according to the guidelines prescribed by the College of American Pathologists (CAP) and Clinical Laboratory Improvement Amendments (CLIA). The limit of detection (LOD) of this test is Ct<30 (~15 viral copies) and >200X genomic coverage, and the test is 100% specific in the detection of existing variants. The test demonstrated 100% precision in inter-day, intra-day, and intra-laboratory reproducibility studies. It is also 100% accurate, defined by reference strain testing and split sample testing with other CLIA laboratories. Advanta Genetics LDT COVIDSeq has been reviewed by CAP inspectors and is under review by FDA for Emergency Use Authorization.

The changing role of innovation for crisis management in times of COVID-19: An integrative literature review

Since the outbreak of the COVID-19 pandemic, countries have concentrated on developing policies that encourage the creation of more innovative products and services in response to the global health emergency. Effective collaboration, communication, and Open Innovation (OI) among government entities, education and research institutions, and the private sector have been critical to each country's overall effectiveness during the economic crisis. The objective of this paper is to examine the relationship between innovation and COVID-19 critically to have a better understanding of future research and practice developments. A systematic evaluation was conducted, analyzing papers on innovation and the COVID-19 pandemic. A total of 218 studies were analyzed to determine the essential research directions in this domain. Our suggested framework is made of aggregate components, which include technology adaption, sustainable development, healthcare, and sustainable economic performance. These components form the basis for the identification of emerging research hotspots in the field of COVID and innovation, as well as frame the COVID-19 issue as an opportunity to raise awareness about the crucial role of innovation in business and society at large.

Knowledge, Attitude, and Practice Towards Face-Mask Use Amid the Coronavirus 2019 Pandemic Among Public Transport Drivers in Gondar Town, A Cross-Sectional Study

Background. Coronavirus disease (COVID-19) is a highly communicable virus that continues to interrupt livelihoods, predominantly those of low-income segments of society. For the prevention of respiratory infections like the current COVID-19 outbreak, face masks are considered an effective approach.

Objective. This study intended to assess the knowledge, attitude, and practice of public transport drivers towards face mask use amid the COVID-19 pandemic in Gondar, Ethiopia.

Methods. A cross-sectional study was conducted among 412 public transport drivers in Gondar town from July to September 2021. The study subjects were recruited using a simple random sampling technique after proportionally allocating the sample size from the total number of public transport drivers, and finally, study subjects were selected using the convenience sampling method to select the participant drivers working in Gondar Town. The data were collected by face-to-face interview administered questioners and an on-the-spot observational checklist.

Results. A total of 412 public transport drivers have participated in the study. The mean age of the respondents was 32.75 years (±8.75 years). The majority of the participants were Bajaj drivers 193 (46.84%). Among the responders, 114 (27.67%) of them use radio to gather information about the pandemic and 50 (12.14%) of them had reported being caught by COVID-19. Meanwhile, only 32 (7.77%) were vaccinated against COVID-19. Drivers that had a diploma level of education were found to be 87.7% less knowledgeable than degree holders (AOR .123, 95% CI = .026, .573). Respondents that had good knowledge about COVID-19 and face masks were found to have 1.7 times more positive attitudes than those that had poor knowledge (AOR = 1.728, 95% CI = 1.150, 2.596). drivers whose family members have ever been caught by COVID-19 were found 2 times more likely to use face masks whenever they are working/driving (AOR = 2.173, 95% CI = 1.015, 4.652) than their counterparts.

Conclusion. This study revealed a very low Knowledge, attitude, and practice of face mask use among public transport drivers in Gondar town. Periodic reinforcement and training programs are needed for all public transport drivers in each level for proper understanding and adherence to COVID-19 prevention protocols and the use of face masks.

A flap endonuclease 1-assisted universal viral nucleic acid sensing system using surface-enhanced Raman scattering

Flap endonuclease 1 recognizes a specific DNA structure and cleaves Raman tag-labeled probe molecules in a target-specific manner. With SERS-based sensing, the developed detection approach produces sensitive, quantitative, and multiplexable signals.

Complexity of COVID-19 Dynamics

With population explosion and globalization, the spread of infectious diseases has been a major concern. In 2019, a newly identified type of Coronavirus caused an outbreak of respiratory illness, popularly known as COVID-19, and became a pandemic. Although enormous efforts have been made to understand the spread of COVID-19, our knowledge of the COVID-19 dynamics still remains limited. The present study employs the concepts of chaos theory to examine the temporal dynamic complexity of COVID-19 around the world. The false nearest neighbor (FNN) method is applied to determine the dimensionality and, hence, the complexity of the COVID-19 dynamics. The methodology involves: (1) reconstruction of a single-variable COVID-19 time series in a multi-dimensional phase space to represent the underlying dynamics; and (2) identification of “false” neighbors in the reconstructed phase space and estimation of the dimension of the COVID-19 series. For implementation, COVID-19 data from 40 countries/regions around the world are studied. Two types of COVID-19 data are analyzed: (1) daily COVID-19 cases; and (2) daily COVID-19 deaths. The results for the 40 countries/regions indicate that: (1) the dynamics of COVID-19 cases exhibit low- to medium-level complexity, with dimensionality in the range 3 to 7; and (2) the dynamics of COVID-19 deaths exhibit complexity anywhere from low to high, with dimensionality ranging from 3 to 13. The results also suggest that the complexity of the dynamics of COVID-19 deaths is greater than or at least equal to that of the dynamics of COVID-19 cases for most (three-fourths) of the countries/regions. These results have important implications for modeling and predicting the spread of COVID-19 (and other infectious diseases), especially in the identification of the appropriate complexity of models.

Driving powers of the globalization on the urban ecology, a comparative study

BACKGROUND

The present study investigates the driving effects of globalization on the urban environment in two countries of Italy and Japan, which have the regular amplified economy among the advanced countries. For this purpose, a model with the collaboration of two main subjects of globalization coverage and urbanization and the methodological procedures of correlation test and structural analysis was constructed. A globalization index, namely the Maastricht globalization index (MGI), was assumed based on the integrated values of ten factors [HDI, ITA, GDP, FDI, TEI, GEE, GME, MCS, and IUI] besides three ecological indicators as the baseline of the urban environment, namely carbon dioxide emission (CDE), municipal solid wastes (MSW), and wastewater treatment plants (WTP).

RESULTS

Results revealed the positive associations between globalization and wastewater treatment of urban areas in both countries, exposing the influential role of globalization in connecting the urban population to the sewage plants. The results confirmed the positive role of globalization in decreasing carbon dioxide emissions and overall its practical influences to mitigate urban air pollution. However, the overall globalization effect on urban waste production was estimated differently in both countries.

CONCLUSIONS

Based on the MICMAC analysis, only three factors, namely HDI, ITA, GDP, and FDI, can express driving powers and a significant share of globalization coverage. Consequently, enhancing such indicators that belong to globalization's social and economic domains certainly can act as driver powers to mitigate the environmental issues of urbanization in the study areas.

BodyWorks: interactive interdisciplinary online teaching tools for biomechanics and physiology teaching

Remote teaching can be both challenging and motivating. Professors and lecturers have developed innovative strategies to improve students' education and engage students in synchronous and asynchronous classes. In this Illuminations paper, we describe BodyWorks, online tools to support courses in physiology, motor control, and biomechanics. The tools are interactive and easy to use, have low computer and internet demands, and can be used in many conditions and topics of study. All resources are freely available online in three different languages. We hope our initiative can help professors and students worldwide promote more interactive and engaging motor control and related topics classes for both synchronous and asynchronous formats.

The first two decades of Circular Economy in the 21st century: a bibliographic review

Purpose

The purpose of this paper is to analyze and map the main areas of the Circular Economy literature of the first two decades of 21st century, offering a broad vision about the growth of the theme during these years.

Design/methodology/approach

The research was divided into two stages: the first was a systematic review of literature and the second consisted on generation and analysis of bibliographic maps.

Findings

The publication indicates the prominence of China and European Union countries in the production of articles about Circular Economy. Furthermore, the topic is restricted to academic area, and that research on Circular Economy is still very focused on theory studies, even with exponential growth in the number of published articles about the theme since 2015. Finally, it also provides a collection of information as the principal authors, the most cited publications, citations, co-citations and countries that have most published beyond which are the most discussed topics.

Research limitations/implications

A possible limitation of the research is that it was performed only in the Scopus database. It may be suggested as future searches that other databases are included as well, and another suggestion is to reduce the time period between research samples due to the exponential increase in the number of publications and topics discussed lately.

Practical implications

The results of this paper can guide future researches about the development of Circular Economy during the next decades or years and serve as a facilitator for researchers and for managers that want to know more about the topic.

Originality/value

A mapping of the principal players and main discussions about Circular Economy made in the first two decades of the 21st century and an analysis about the growth and changes about the theme.

Circular Economy Business Models: a Repertoire of Theoretical Relationships and a Research Agenda

The shift towards a more resource efficient circular economy has become a necessity in the wake of current ecological, economic and social sustainability challenges. Mirroring circular-related developments in policy and business quarters, the circular economy literature is growing as a distinct field of academic enquiry. Yet, the conceptual and theoretical foundations of circular economy thinking need consolidation. Drawing from strategic management, sustainability transitions and systems theories, this article establishes some theoretical anchoring for circular economy business models. It finds that circular business models contribute to an understanding of both competitive advantage and the systemic nature of business. It also develops a future agenda for management research at the interface between the circular economy and business models.

Sustainability practices during COVID-19: an institutional perspective

Purpose

The purpose of this paper is to investigate how sustainable practices in supply chains are affected by the COVID-19 pandemic through the lens of institutional theory.

Design/methodology/approach

This research applies a twofold data collection approach: 1) qualitative semistructured interviews and 2) secondary data collection that includes sustainability reports, newspaper articles, journal articles, strategic plans, research reports and statements made by authorities and stakeholders concerning decision-making. In total, managers representing six companies in Norway were interviewed.

Findings

The study suggests that during the COVID-19 pandemic, companies tend to focus on short-term decisions and economic issues. The long-term focus on sustainability has, however, increased at the cluster level. The research also indicates that the pandemic has led to the development of new business routines that may transform institutional norms. The diversity of institutional contexts can, on the one hand, drive sustainability transitions through pressures and supportive programs but, on the other hand, also hinder the development of sustainability thinking.

Research limitations/implications

Institutional factors must be included when analyzing the effects of crises and sustainable transitions. Researchers are encouraged to explore the COVID-19 implications in the form of longitudinal studies.

Practical implications

Policymakers can benefit from in-depth knowledge on the adverse effects of an institutional environment on sustainability. For managers, the outbreak of the pandemic can afford them additional time to revise their strategies and seek innovation. The pandemic highlights the need to build more resilient and sustainable systems that will aid managers in responding rapidly during future uncertainties and enduring sustainability trajectories in operations.

Originality/value

The paper offers an in-depth investigation of COVID-19 effects on the sustainability of supply chains by drawing on institutional theory.

Unlocking SARS-CoV-2 detection in low- and middle-income countries

Low- and middle-income countries (LMICs) are significantly affected by SARS-CoV-2, partially due to their limited capacity for local production and implementation of molecular testing. Here, we provide detailed methods and validation of a molecular toolkit that can be readily produced and deployed using laboratory equipment available in LMICs. Our results show that lab-scale production of enzymes and nucleic acids can supply over 50,000 tests per production batch. The optimized one-step RT-PCR coupled to CRISPR-Cas12a-mediated detection showed a limit of detection of 102 ge/μL in a turnaround time of 2 h. The clinical validation indicated an overall sensitivity of 80%-88%, while for middle and high viral load samples (Cq ≤ 31) the sensitivity was 92%-100%. The specificity was 96%-100% regardless of viral load. Furthermore, we show that the toolkit can be used with the mobile laboratory Bento Lab, potentially enabling LMICs to implement detection services in unattended remote regions.

Digital Technologies, Circular Economy Practices and Environmental Policies in the Era of COVID-19

The degradation of the environment is associated with economic activity, particularly with the linear way in which the economy does not make efficient use of resources. However, the circular economy is opposed to this linear paradigm, since it makes the most of the resources in trying to achieve zero waste. In this context, this study investigates the relationship between industry 4.0 technologies, COVID-19 outbreak, environmental regulation policies and circular economy practices. A questionnaire is designed to collect information from 214 big and private manufacturing firms in Ecuador, and subsequently, through CB-SEM, the information is processed, and the study paths are validated. The results suggest that industry 4.0 technologies and environmental regulation policies are driving circular economy practices during the pandemic. The study finds no evidence favoring COVID-19 being a determining factor in the adoption of the circular economy. The results provide a policy framework for the adoption of a circular economy.

Bibliometric Analysis of Post Covid-19 Management Strategies and Policies in Hospitality and Tourism

The strategic perspective of management policies gained utmost importance during the post-Covid era. The researchers are trying to introduce strategies that can help organizations cope with post-crisis destruction. Yet, the research on the topic is fragmented, mainly related to the hospitality and tourism industry. This manuscript aims to present scholarly research findings dealing with the post-Covid-19 management strategies in the hospitality and tourism industry from January 1, 2020, to July 28, 2021. These strategies can play an essential role in the survival and growth of the sectors. The study identified and acknowledged the core contributing authors, journals, countries, affiliation, corresponding authors through bibliometric, citation, and keyword analysis. It also conducted the co-occurrence analysis and reported three significant research streams and bibliometric coupling to identify four research themes for management strategies of the tourism and hospitality industry in the post-Covid era. With the help of an influential and conceptual framework, the study highlights the future challenges managers could face and suggests the possible area for reviewing and revising the existing policies by proposing future directions. Consequently, this study contributes to the current literature on post-Covid-19 management strategies and policies by developing the critical analysis of the extant literature and highlighting the understudy areas that future studies must explore to expand the scope of the research.

An Update on Pharmacological Relevance and Chemical Synthesis of Natural Products and Derivatives with Anti SARS-CoV-2 Activity

Natural products recognized traditionally as a vital source of active constituents in pharmacotherapy. The COVID-19 infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is highly transmissible, pathogenic, and considered an ongoing global health emergency. The emergence of COVID-19 globally and the lack of adequate treatment brought attention towards herbal medicines, and scientists across the globe instigated the search for novel drugs from medicinal plants and natural products to tackle this deadly virus. The natural products rich in scaffold diversity and structural complexity are an excellent source for antiviral drug discovery. Recently the investigation of several natural products and their synthetic derivatives resulted in the identification of promising anti SARS-CoV-2 agents. This review article will highlight the pharmacological relevance and chemical synthesis of the recently discovered natural product and their synthetic analogs as SARS-CoV-2 inhibitors. The summarized information will pave the path for the natural product-based drug discovery of safe and potent antiviral agents, particularly against SARS-CoV-2.

The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China

In 2020, the world experienced several significant events, including the COVID-19 pandemic and the collapse of international crude oil prices. Both have a great impact on a sustainable economy. Taking China as an example, we use a computable general equilibrium model with multi-sectors and multi-households and consider six different scenarios to simulate and evaluate the aggregate impacts of the pandemic and crude oil prices. We divide the impact of the pandemic into the changes of factor input and the changes of consumer preference and find that the decline of factor input is the leading cause of the economic downturn. The sharp drop in crude oil prices has a significant negative impact on the low-carbon economy. Although the pandemic has led to a decline in global carbon emissions, it is only because of the economic downturn. The epidemic situation and the change of oil price have double impacts on the economy, especially the sustainable economy. Adjusting the price gap between fossil energy and renewable energy (e.g., more stringent carbon pricing) and appropriate tax cuts on residents may be effective ways to alleviate the impact, which should be one of the environmental policies in the post-COVID-19 era.

Revealing Distress and Perceived Stress among Dentists at the Outset of the COVID-19 Pandemic: A Cross-Sectional Factor Analytic Study

Dentists' perceptions about the stressfulness of clinical practice are well-documented, but literature on perceived stress and psychological distress experienced during the COVID-19 pandemic is scarce. This study aims to explore the emotions and attitudes, and the socio-demographic, dental, and COVID-related factors that are associated with the emergence of perceived stress and psychological distress that have been experienced by dentists during the COVID-19 pandemic. General demographic and dental-related data, and specific questions measuring the potential factors regarding dental professionals' concerns and opinions about their professional circumstances during the pandemic, were electronically collected from 182 dental practitioners. Exploratory and confirmatory factor analyses were used to assess whether dentists' emotions and attitudes during the pandemic measure the same construct: psychological distress, while linear regression models were built on the exploration of the effects of COVID-related factors on perceived stress and psychological distress. Facets of impulsiveness, lack of interest in social connections, emotional disengagement, mood swings, and acknowledgment of emotional exhaustion due to the pandemic, were measurements of the same construct and manifested in a singular factor: psychological distress. Two aspects, the fear of aerosol propagation and insecurities of financial status, increased the likelihood of the emergence of heightened levels of perceived stress and distress, while years spent in dental practice and age seemed to be protective factors against perceived stress and distress.

Supply chain recovery challenges in the wake of COVID-19 pandemic

The COVID-19 pandemic has revealed the fragility of global supply chains arising from raw material scarcity, production and transportation disruption, and social distancing. Firms need to carefully anticipate the difficulties during recovery and formulate appropriate strategies to ensure the survival of their businesses and supply chains. To enhance awareness of the issues, this research aims to identify and model recovery challenges in the context of the Bangladeshi ready-made garment industry. A Delphi-based grey decision-making trial and evaluation laboratory (DEMATEL) methodology was used to analyze the data. While the Delphi method helped identify the major supply chain recovery challenges from the impacts of the COVID-19 pandemic, the grey DEMATEL approach helped categorize the causal relationships among these challenges. Of the 23 recovery challenges finalized, 12 are causal challenges. The study's findings can assist decision-makers in developing strategic policies to overcome the recovery challenges in the post-COVID-19 era.

A post-pandemic sustainable scenario: What actions can be pursued to increase the raw materials availability?

On January 30, 2020, COVID-19 outbreak, detected for the first time in Wuhan (China), was declared by WHO a Public Health Emergency. In a strongly connected world, the consequent slowdown of the Chinese economy contributed to disrupt the global supply chains of several products. In a post-pandemic scenario, the expected rapid increase in demand of critical raw materials (associated with the transition to more green energy sources), coupled with the problems that some mining activities are relegated only in certain countries and regions, must be considered in a sustainable perspective. This work analyses the literature about (critical) raw materials and COVID-19, not only to present the impact of the pandemic on their supply, but also to propose some actions that should be pursued in a post-pandemic renaissance scenario, to increase raw materials availability, with great attention to most critical ones, in the frame of circular economy principles. The post-pandemic possibilities are evaluated and suitable actions are suggested to secure the raw materials availability for the foreseen increase of investments in crucial and strategic sectors, in accord with the UN Sustainable Development Goals (SDGs). The proposed actions can be summarized as policy, strategy, economy, and technology activities.

Socio-economic and corporate factors and COVID-19 pandemic: a wake-up call

The novel coronavirus 2019 (COVID-19) emerges from the Chinese city Wuhan and its spread to the rest of the world, primarily affected economies and their businesses, leading to a global depression. The explanatory and cross-sectional regression approach assesses the impact of COVID-19 cases on healthcare expenditures, logistics performance index, carbon damages, and corporate social responsibility in a panel of 77 countries. The results show that COVID-19 cases substantially increase healthcare expenditures and decrease corporate social responsibility. On the other hand, an increase in the coronavirus testing capacity brings positive change in reducing healthcare expenditures, increased logistics activities, and corporate social responsibility. The cost of carbon emissions increases when corporate activities begin to resume. The economic affluence supports logistics activities and improves healthcare infrastructure. It linked to international cooperation and their assistance to supply healthcare logistics traded equipment through mutual trade agreements. The greater need to enhance global trade and healthcare logistics supply helps minimize the sensitive coronavirus cases that are likely to provide a safe and healthy environment for living.

A model based on cellular automata for investigating the impact of lockdown, migration and vaccination on COVID-19 dynamics

BACKGROUND AND OBJECTIVE

COVID-19 pandemic continues unabated due to the rapid spread of new mutant strains of the virus. Decentralized cluster containment is an efficient approach to manage the pandemic in the long term, without straining the healthcare system and economy. In this study, the objective is to forecast the peak and duration of COVID-19 spread in a cluster under different conditions, using a probabilistic cellular automata configuration designed to include the observed characteristics of the pandemic with appropriate neighbourhood schemes and transition rules.

METHODS

The cellular automata, initially configured to have only susceptible and exposed states, enlarges and evolves in discrete time steps to different infection states of the COVID-19 pandemic. The transition rules take into account the probability and proximity of contact between infected hosts and susceptible individuals. A transmittable and transition neighbourhoods are defined to identify the most probable individuals infected from a single host in a time step.

RESULTS

The model with novel neighbourhood schemes and transition rules reproduce the macroscopic behaviour of infection and recovery observed in pandemics. The temporal evolution of the pandemic trajectory is sensitive to lattice size, range, latent and recovery periods but has constraints in capturing the changes in the infectious period. A study of lockdown and migration scenarios shows strict social isolation is crucial in controlling the pandemic. The simulations also indicate that earlier vaccination with a higher capacity and rate is essential to mitigate the pandemic. A comparison of simulated and actual data shows a good match.

CONCLUSIONS

The study concludes that social isolation during movement and interaction of people can limit the spread of new infections. Vaccinating a large proportion of the population reduces new cases in subsequent waves of the pandemic. The model and algorithm with real-world data as input can quickly forecast the trajectory of the pandemic, for effective response in cluster containment.

Does the COVID-19 external shock matter on household food waste? The impact of social distancing measures during the lockdown

The COVID-19 outbreak forced national governments to the adoption of social distancing and movement limitation measures aimed to reduce the diffusion of the virus and to mitigate its highly disruptive impact on the healthcare systems. Reduced income, job insecurity, distribution system interruptions, product shortages, localized price hikes, and time availability resulted in changes in food-related behaviors of households, including food waste generation. Although the significant progress achieved in the understanding of the multidimensional determinants of food losses and waste, no study has been considering the role of uncertainty generated by exogenous generalized shocks on consumer behavior. Building on an original and nationally representative survey, this work aims to investigate the impact of the measures introduced to contain the outbreak of COVID-19 on the main behavioral factors underpinning household food waste generation. The study develops a theoretical model introducing uncertainty validated through a Structural Equations Modelling approach. Results showed that during the quarantine period declared household food waste decreased, with more than half of the respondents reporting to waste less. The model suggested that the amount of material and non-material resources that consumers can dedicate to food-related activities represents the most influential factor for the generation of household food waste and that uncertainty is significantly affecting the drivers and indirectly influencing the self-declared values of food waste. Results suggest several potential policy implications, of which the most relevant being related to the importance of stimulating improvements in food management opportunities at home.

Disruptive Communication as a Means to Engage Children in Solving Environmental Challenges: A Case Study on Plastic Pollution

Environmental degradation and how we care for our planet are some of the greatest challenges the world is up against at this moment. These challenges has received increased focus in both, research and the public sphere. So far, most of this attention revolved around adult’s attitudes and behavior. However, environmental engagement amongst the younger generation gains in popularity. Using plastic pollution as a case, this qualitative study aims to acquire insights into the mental models of children. We collected qualitative data during an innovative, structured workshop according to the “Nature In Your Face” (NIYF) framework. The approach challenges the assumption that the societal change can be achieved gradually, with non-invasive techniques. Instead, we explore the potential of disruption to push citizens out of their comfort zone, thereby making room for co-creation. The disruption was performed by confronting 36 fifth graders from a Norwegian primary school, with disturbing images of plastic contaminating their local shorelines. The data was obtained by using the workshop framework, combined with semi-structured group interviews. The interview data was analyzed by means of thematic analysis. We found that the disruptions triggered emotional reactions like anger and fear. With these emotions as a driving force, the first workshop step was introduced, the Framing of the problem. The next step, Twisting the problem, was reflected in the children developing their own, creative solutions and creatively engaged with them in groups. The last step, Using, was only touched upon in the workshop and is therefore beyond the scope of this paper. Our results indicate that there are three prominent themes reflecting how children discuss plastic pollution. The children talked about their (1) Emotions related to plastic pollution, (2) Attitudes related to plastic, and (3) Perceptions of plastic pollution. These themes were further subdivided into different types of emotions, characteristics of plastic as a material as well as perceptions on different locations of unnecessary plastic. Psychologically, the mechanisms underlying the identified themes were linked to eco-anxiety, denial, self-efficacy, and cognitive dissonance. We conclude that disruptive eco-visualization can create an emotional response amongst children, which can be transformed into co-creation of ideas.

Understanding the impacts of the COVID-19 pandemic on sustainable agri-food system and agroecosystem decarbonization nexus: A review

The existing finite natural resources have witnessed unsustainable usage in the past few years, especially for food production, with accompanying environmental devastation and ecosystem damage. Regrettably, the global population and consumption demands are increasing ceaselessly, leading to the need for more resources for food production, which could potentially aggravate the sustainability and ecosystem degradation issues, while stimulating drastic climate change. Meanwhile, the unexpected emergence of the COVID-19 pandemic and some implemented measures to combat its spread disrupted agricultural activities and the food supply chain, which also led to a reduction in ecosystem carbonization. This study sets out to explore policy framework and selected feasible actions that are being adopted during the COVID-19 pandemic, which could potentially reduce the emissions even after the pandemic to promote a resilient and sustainable agri-food system. In this study, we reviewed 27 articles that focus on the current state of the agri-food system in light of the COVID-19 pandemic and its impact on the decarbonization of the agroecosystem. This review has taken the form of a systematic methodology in analyzing the adoption and implementation of various measures to mitigate the spread of COVID-19 on the impact of the agri-food system and reduction in ecosystem degradation. Up to 0.3 Mt of CO2 reduction from the agri-food system alone was reportedly achieved during the first 6 months of the pandemic in 23 European countries. The various adopted measures indicate that the circular economy approach is a panacea to achieve the needed sustainability in the agri-food system. Also, it dictates a need for a paradigm change towards improvement on localized food production that promotes sustainable production and consumption.

An Empirical Perception of Economic Resilience Responded to the COVID-19 Epidemic Outbreak in Beijing-Tianjin-Hebei Urban Agglomeration, China: Characterization and Interaction

The COVID-19 has caused a serious impact on the global economy, and all countries are in a predicament of fighting the epidemic and recovering their economies. Aiming to discuss the impact of the COVID-19 on the economic resilience of urban agglomerations, the economic data of each quarter from June 2019 to September 2020 of the Beijing-Tianjin-Hebei Urban Agglomeration are selected, and the economic development index (EDI) is calculated based on the entropy method. Combining the fundamental conditions of urban agglomerations and industrial policies during the COVID-19, urban economic resilience is discussed by the changing trend of the economic development index (EDI) and dividing into resistance and restoration. The results show that: (1) The economic development level of the urban agglomeration has been affected by the epidemic and has changed significantly. The change of endogenous power is the main cause of change; (2) During the outbreak of the COVID-19, the economic resilience of the Beijing-Tianjin-Hebei urban agglomeration shows four different development types: high resistance and restoration, high resistance but low restoration, low resistance but high restoration, low resistance and restoration cities; (3) High resistance but low restoration, low resistance but high restoration, and low resistance and restoration cities influence each other, but the relationship between cities is mainly dependent; (4) The economic restoration within the urban agglomeration forms a synergy, which promotes the economic recovery and development of the urban agglomeration during the recovery period of the COVID-19. Urban agglomerations should enhance the combined effect of resistance and increase the impact of high resistance and restoration cities on surrounding cities in the future.

Operations Management teaching practices and information technologies adoption in emerging economies during COVID-19 outbreak

The objective of this article is three-fold. First, it aims at identifying the main teaching practices and information and communication technologies (ICTs) used to teach Operations Management (OM) in emerging economies during COVID-19 outbreak. Second, it investigates the effect of contextual characteristics on the adoption level of those teaching practices and ICTs. Third, this study examines the relationship between the adoption of ICTs and OM teaching practices during COVID-19 outbreak. Expectedly, schools around the world have pivoted to online learning and digital classrooms. Thus, OM lecturers and professors located in emerging economies that have been teaching during COVID-19 outbreak were surveyed. The collected data was analyzed through multivariate techniques. Findings indicate that lecturers and professors have been remarkably adopting specific teaching practices and ICTs to teach OM. Nevertheless, when considering the contextual characteristics of the universities, departments, and lecturers/professors, the adoption level of those practices and ICTs may significantly vary, especially depending on subject type and teaching experience. Moreover, we empirically verified that ICTs positively relate with OM teaching practices in emerging economies, although in a much less extent than expected. This research provides OM instructors guidelines to better plan their courses and subjects in face of extreme disruptive moments, such as the one caused by the COVID-19. Understanding how the concurrent utilization of ICTs and teaching practices helps OM programs to continue developing their activities is particularly important for universities located in emerging economies, since they are more likely to struggle with resources scarcity and more financially humble students.

Fossil fuels, stranded assets and COVID-19: Imagining an inclusive & transformative recovery

The 2015 Paris Agreement on Climate Change implicitly requires phasing out fossil fuels; such a phase out may cost hundreds of trillions of dollars and induce widespread socio-ecological ramifications. The COVID-19 'pancession' (pandemic + recession) has rattled global economies, possibly accelerating the fossil fuel phase out. This raises the question: What opportunities has COVID-19 presented to phase out fossil fuels, and subsequently, how can transformative recovery efforts be designed to utilize these opportunities and promote social, ecological and relational inclusiveness? We find that: (a) the COVID-19 pancession provides a unique opportunity to accelerate climate action, as it has devalued financial assets, stunned fossil fuel production and paralyzed relevant infrastructure, thus easing the pathway towards stranding global fossil fuel resources and assets; (b) four possible post-pancession recovery scenarios may unravel, of which only one is ecologically, socially and relationally inclusive, transformative, and in line with the Paris Agreement and Agenda 2030; and (c) an inclusive recovery requires that political leadership channels the gargantuan state resources for recovery into prioritizing healthcare and the environment as public/merit goods, conscious investment in non-fossil fuel energy sector recovery accompanied by stringent climate policy, and equitably managing stranded assets to ensure that the burden falls on rich and capable actors, predominantly from the North.