A literature review on the impact of the COVID-19 pandemic on consumer behaviour: implications for consumer-centric logistics

PurposeThe COVID-19 pandemic has resulted in significant changes in consumer behaviour, which has had a cascading effect on consumer-centric logistics. As a result, this study conducts a focused literature review of pandemic-related consumer behaviour research to address two research questions: 1) what are the pandemic's direct effects on consumer consumption behaviour, with an emphasis on changes in their basic and psychological needs? and 2) what are the consequences of behavioural changes on consumer-centric logistics?Design/methodology/approachThe scientific procedure and rationales for systematic literature review (SPAR-4-SLR) protocol and the theory, context, characteristics and methodology (TCCM) framework were adopted as a guideline to map, refine, evaluate and synthesise the literature. A total of 53 research articles were identified for further analysis.FindingsUsing Maslow's hierarchy of human needs as a theoretical guide, this review synthesises the COVID-19 pandemic's effects on consumer behaviour into four categories: abnormal buying behaviour, changes in consumer preferences, digitalisation of shopping behaviour and technology-related behaviour. Furthermore, four consumer-centric logistics propositions are proposed based on the four aspects of consumer behavioural changes.Originality/valueThis study outlines the significant behavioural changes in consumers in the face of the COVID-19 pandemic and how these changes impact consumer-centric logistics, with implications for managing consumers' involvement in logistics and pointing out future research directions.

Revenge buying after the lockdown: Based on the SOR framework and TPB model

With the end of the pandemic and the lifting of the lockdown, the consumer market experienced revenge buying. The purpose of this study is to investigate the causes of revenge buying using the stimulus-organ-response (SOR) framework and the theory of planned behavior (TPB) model. Structural equation modeling was used to analyze data collected from 350 residents of Shanghai, China, after the city's lockdown was lifted. The findings imply that perceived scarcity, perceived susceptibility, and social influence regarding the lockdown can stimulate in-dividuals' anxiety, inducing behavioral intentions and ultimately leading to revenge buying consumer behavior. Theoretically, this study provides a novel explanation of revenge buying behavior. Additionally, conclusions offer ramifications for management and implementation strategies for dealing with revenge buying after sudden disasters.

Acceptance of autonomous delivery robots in urban cities

Autonomous Delivery Robots (ADR), an innovative last-mile delivery method, can be seen as a sustainable solution for the distribution of goods in urban cities. This study combines the modified-TAM (encompassing the Technology Acceptance Model (TAM) and threat elements of the health belief model) and the Theory of Planned Behaviour (TPB) into the stimulus-organism-response framework to explain consumer intention to use ADRs. The responses of 500 respondents living in Singapore were collected via an online questionnaire, and the collected results were obtained using structural equation modelling. Using the modified-TAM and TPB constructs as the main conceptual framework for analysis, the results show significant results for consumers' ADR usage. Based on total effects analysis, attitude shows the largest effect on consumers' intention to use ADRs, followed by perceived usefulness, perceived susceptibility, perceived severity, perceived ease of use, subjective norm, and perceived behavioural control. Overall, the findings give an extensive insight into the key determinants influencing consumers' intention to use ADRs and offer strategic policy recommendations to encourage the use of ADRs.

CEBIT screening for inhibitors of the interaction between SARS-CoV-2 spike and ACE2

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, causing COVID-19, is the most challenging pandemic of the modern era. It has resulted in over 5 million deaths worldwide. To quickly explore therapeutics for COVID-19, we utilized a previously-established system, namely CEBIT. We performed a highthroughput screening of FDA-approved drugs to inhibit the interaction between the receptor-binding domain (RBD) of SARS-CoV-2 spike protein and its obligate receptor ACE2. This interaction is essential for viral entry and therefore represents a promising therapeutic target. Based on the recruitment of interacting molecules into phase-separated condensates as a readout, we identified six positive candidates from a library of 2572 compounds, most of which have been reported to inhibit the entry of SARS-CoV-2 into host cells. Our surface plasmon resonance (SPR) and molecular docking analyses revealed the possible mechanisms via which these compounds interfere with the interaction between RBD and ACE2. Hence, our results indicate that CEBIT is highly versatile for identifying drugs against SARS-CoV-2 entry, and targeting CoV-2 entry by small molecule drugs is a viable therapeutic option to treat COVID-19 in addition to commonly used monoclonal antibodies.

The mechanism of Isatidis Radix in the prevention of influenza and COVID-19 by HPLC-Q-TOF-MS combined with network pharmacology

We identified molecular mechanisms by which Isatidis Radix might prevent or mitigate influenza and corona virus disease 2019 (COVID-19) based on chemical composition and network pharmacology. High performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry (HPLC-QTOF-MS) was used to analyze the components of Isatidis Radix. Seventy compounds were identified, of which 33 prototype compounds entered the blood. Network pharmacological analysis of 41 potential active components demonstrated that Isatidis Radix can regulate protein kinase B1 (AKT1), serum albumin (ALB), glyceraldehyde-3phosphate dehydrogenase (GAPDH), vascular endothelial growth factor A (VEGFA), tyrosine-protein kinase SRC (SRC), epidermal growth factor receptor (EGFR), intercellular adhesion molecule-1 (ICAM1) and other key genes, which have preventive effects on influenza and COVID-19 through hypoxia inducible factor-1 (HIF-1), vascular endothelial growth factor (VEGF), tumor necrosis factor (TNF), influenza A, Toll-like receptor (TLR), phosphatidylinositol-3-kinase-protein kinase B (PI3K-AKT), COVID-19 and other signaling pathways. This study identifies mechanisms by which Isatidis Radix might act against influenza and COVID-19 that are related to the inflammatory response, immunomodulation and viral defense, and provides a basis for subsequent clinical research. All animal experiments were approved by the Ethics Committee of Shenyang Pharmaceutical University (SYPU-IACUCS2020-12.23-201). Copyright © 2022, Chinese Pharmaceutical Association. All rights reserved.

Quantitative analysis of the impact of anthropogenic emissions and meteorological factors on air quality: Cases during the epidemic in Xingtai City

Meteorological and human factors during the specific epidemic are critical for effectively evaluating the causes of air quality changes in different areas. This study selected Xingtai City, Hebei Province as the research object, took 2020 epidemic situation as an experimental scenario of extreme emission reduction under the extreme control measures, and 2021 epidemic situation as an experimental analysis scenario of future normalized epidemic prevention and control. Compared with the period prior to the epidemic, the ozone concentration during the two epidemics increased, and the particle concentration during the 2021 epidemic also increased. The concentration of other pollutants during the 2020 epidemic decreased to varying degrees. Compared with the same period in 2019, the ozone concentration during the two epidemics also increased. In addition, the pollutant concentration during the 2021 epidemic declined more. Using LSTM algorithm and WRF-CMAQ model to quantify impacts of meteorological factors on the changes in pollutant concentration during the two epidemic periods. The human-induced changes in different pollutant concentrations were deduced as indicated by the results from the air quality simulation. The simulation of LSTM algorithm during the two outbreaks shows that human being had a negative impact on pollutants (reducing their concentration) and accounted for a high proportion in the total change, while the influence of meteorological factors simulated with CMAQ model was much higher than that with LSTM algorithm. Anthropogenic influences dominated during the 2020 epidemic period, while compared to that during the 2020 epidemic period, the impact of anthropogenic activities on pollutants (except NO2) was positive (promoting an increase in pollutant concentration) during the 2021 epidemic period. © 2022 Chinese Society for Environmental Sciences. All rights reserved.

Watts-level ultraviolet-C LED integrated light sources for efficient surface and air sterilization

With the epidemic of the coronavirus disease (COVID-19) infection, AlGaN-based ultraviolet-C light emitting diodes (UVC-LEDs) have attracted widespread attention for their sterilization application. However, the sterilization characters of high power integrated light sources (ILSs) haven't been widely investigated before utilizing in public sanitary security. In this work, by integrating up to 195 UVC-LED chips, high power UVC-LED ILSs with a light output power (LOP) of 1.88 W were demonstrated. The UVC-LED ILSs were verified to have efficient and rapid sterilization capability, which have achieved more than 99.9% inactivation rate of several common pathogenic microorganisms within 1 s. In addition, the corresponding air sterilization module based on them was also demonstrated to kill more than 97% of Staphylococcus albus in the air of 20 m(3) confined room within 30 min. This work demonstrates excellent sterilization ability of UVC-LED ILSs with high LOP, revealing great potential of UVC-LEDs in sterilization applications in the future.

Social determinants of panic buying behaviour amidst COVID-19 pandemic: The role of perceived scarcity and anticipated regret

Panic buying behaviour is inherently undesirable due to its detrimental impact on community's resources and disruptions to supply chain systems. The prevailing COVID-19 pandemic has seen a resurgence of this phenomenon across the world, leaving supermarkets in stockout situations. While panic buying is largely reasoned as a psychological reaction to an extreme event, it is also a socially relevant behaviour as our perception of a crisis can be shaped by our observations and interactions within the society. The social determinants of panic buying behaviour, particularly on how these factors heighten one's perception of scarcity, and trigger panic buying behaviour, are studied. A theoretical model is developed to explain panic buying behaviour in a social context by synthesizing various social and behavioural theories, and the inter-relationship among the latent constructs is analysed using the structural equation modelling approach. Accordingly, an online survey was administered and analysis of the data confirmed that non-coercive social influence, social norm and observational learning directly influence one's perception of scarcity. Additionally, perceived scarcity can motivate panic buying behaviour directly or indirectly through feelings of anticipated regret. This study has contributed to the limited literature on panic buying. Understanding the underlying mechanisms of panic buying will aid policymakers and businesses in developing intervention or support strategies to cope with such behaviour.

Drive High Power UVC-LED Wafer into Low-Cost 4-Inch Era: Effect of Strain Modulation

Ultraviolet-C light-emitting diodes (UVC-LEDs) have great application in pathogen inactivation under various kinds of situations, especially in the fight against COVID-19. Unfortunately, its epitaxial wafers are so far limited to a size of 2 inches, which greatly increases the cost of massive production. In this work, a 4-inch crack-free high-power UVC-LED wafer is reported. This achievement relies on a proposed strain-tailored strategy, where a 3D to 2D (3D-2D) transition layer is introduced during the homo-epitaxy of AlN on the high temperature annealed (HTA)-AlN template, which successfully drives the original compressive strain into a tensile one and thus solves the challenge of realizing a high-quality Al0.6Ga0.4N layer with a flat surface. This smooth Al0.6Ga0.4N layer is nearly pseudomorphically grown on the strain-tailored HTA-AlN template, leading to 4-inch UVC-LED wafers with outstanding performances. The strategy succeeds in compromising the bottlenecked contradictory in producing a large-sized UVC-LED wafer on pronounced crystalline AlN template: The compressive strain in HTA-AlN allows for a crack-free 4-inch wafer, but at the same time leads to a deterioration of the AlGaN morphology and crystal quality. The launch of 4-inch wafers makes the chip fabrication process of UVC-LEDs match the mature blue one, and will definitely speed up the universal application of UVC-LED in daily life.

Can the green credit policy stimulate green innovation in heavily polluting enterprises? Evidence from a quasi-natural experiment in China

This paper investigates the effect of the green credit policy (GCP) on green innovation in heavily polluting enterprises (HPEs) using the promulgation of the & ldquo;Green Credit Guidelines & rdquo;(2012 Guidelines) policy in China as a quasi-natural experiment. The findings show that the 2012 Guidelines have had a positive and significant effect on the green patent output of HPEs, especially HPEs under stronger financial constraints. Furthermore, this positive effect occurred predominantly in HPEs with higher expected sunk costs or noncompliance costs, more intense product market competition, and state ownership. These results suggest that the GCP can stimulate green innovation in HPEs by exerting credit constraints, thus achieving green transformation in an emerging economy. (c) 2021 Published by Elsevier B.V.

The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method

The outbreak of novel coronavirus disease (COVID-19) has spread around the world since it was detected in December 2019. The Chinese government executed a series of interventions to curb the pandemic. The "battle" against COVID-19 in Shenzhen, China is valuable because populated industrial cities are the epic centres of COVID-19 in many regions. We made use of synthetic control methods to create a reference population matching specific characteristics of Shenzhen. With both the synthetic and observed data, we introduced an epidemic compartmental model to compare the spread of COVID-19 between Shenzhen and its counterpart regions in the United States that didn't implement interventions for policy evaluation. Once the effects of policy interventions adopted in Shenzhen were estimated, the delay effects of those interventions were referred to provide the further control degree of interventions. Thus, the hypothetical epidemic situations in Shenzhen were inferred by using time-varying reproduction numbers in the proposed SIHR (Susceptible, Infectious, Hospitalized, Removed) model and considering if the interventions were delayed by 0 day to 5 days. The expected cumulative confirmed cases would be 1546, which is 5.75 times of the observed cumulative confirmed cases of 269 in Shenzhen on February 3, 2020, based on the data from the counterpart counties (mainly from Broward, New York, Santa Clara, Pinellas, and Westchester) in the United States. If the interventions were delayed by 5 days from the day when the interventions started, the expected cumulative confirmed cases of COVID-19 in Shenzhen on February 3, 2020 would be 676 with 95% credible interval (303,1959). Early implementation of mild interventions can subdue the epidemic of COVID-19. The later the interventions were implemented, the more severe the epidemic was in the hard-hit areas. Mild interventions are less damaging to the society but can be effective when implemented early.

[The analysis of clinical characteristics of 34 novel coronavirus pneumonia cases in Ningxia Hui autonomous region].

Objective: To analyze the clinical characteristics of 34 COVID-19 cases and to provide the basis for the prevention and control of the epidemic disease. Methods: Thirty-four COVID-19 patients diagnosed with RT-PCR in the isolation ward of the Fourth People's Hospital of Ningxia Hui autonomous region (infectious diseases hospital) from the January 22 to February 4, 2020 were selected as the research subjects. The clinical data were collected. Excel was used to describe the relationship between clinical classification and age distribution, contact history and date of onset. SPSS 25.0 statistical software was used for analysis. The general information, clinical symptoms, blood test, virus nucleic acid test results, epidemiology, CT imaging, treatment and prognosis were analyzed. Results: There were 5 mild cases (5/34), 24 ordinary cases (24/34), 5 severe cases (5/34). The elderly was more common in severe patients. The main clinical symptoms were fever (27/34)and dry cough(26/34). The peripheral blood showed normal or decreased leukocyte count (33/34), decreased lymphocyte count (12/34). The increase of C-reactive protein (CRP) and D-dimer was related to the severity of the disease. Some patients had mild liver and kidney damage. Six patients were diagnosed through 3 or more times of nucleic acid tests. Sixteen cases had Wuhan related history,13 cases were close contacts, 5 cases had no confirmed route. The clustered infections were found in 6 families. In typical cases, CT showed single or multiple patchy ground glass shadow with thickening of interlobular septum. In severe cases, diffuse lesions of both lungs were found, with ground glass shadow, consolidation shadow and strip shadow coexisting. Thirty-four patients were treated with interferon-α and Lopinavir/Ritonavir with good prognosis. Conclusions: The clinical characteristics of COVID-19 were similar to that of general viral pneumonia but with strong infectivity. Close contact and family aggregation caused disease outbreaks. COVID-19 could not be excluded if two nucleic acid tests were negative and high-resolution CT was helpful for differential diagnosis. Early detection, early isolation, early diagnosis and early treatment are important for good prognosis. The effectiveness of antiviral drugs needs to be further verified.