Supplier change, market competition and enterprise innovation

PurposeThe purpose of this paper is to study enterprise innovation in the perspective of external supplier relationship. On this purpose, this paper examines the impact of supplier change on enterprise innovation with the moderating role of market competition.Design/methodology/approachUsing 2012–2020 empirical data of Chinese listed manufacturing enterprises, this paper investigates the relationship among supplier change, market competition and enterprise innovation through a two-way interaction model.FindingsThe results show that supplier change has a negative impact on enterprise innovation. And market competition intensifies the negative relationship between supplier change and enterprise innovation. Additional analyses indicate that the main effect and the moderating effect are more significant when the enterprise is non-state-owned or has lower ownership concentration.Originality/valueThis paper studies enterprise innovation from the perspective of external stakeholders. It focuses on supplier relationship in a dynamic variation view, instead of the traditional static ones. Moreover, this paper explores the contingency effect of market competition and gives practical implications for managers to adjust innovation strategy flexibly.

COVID-19, Digital Transformation of Banks, and Operational Capabilities of Commercial Banks

The development of financial technology has promoted the innovation and digital transformation of commercial banks. Through digital transformation, commercial banks can improve bank efficiency and operational capabilities. Through empirical analysis, this study explored the relationship between digital bank transformation and commercial bank operating capabilities and how COVID-19, bank categories, and enterprise life cycles affect the relationship between digital bank transformation and commercial bank operating capabilities. This study selected data from China's commercial banks from 2011 to 2021 and used the regression method of fixed effects to conduct an empirical analysis. The research results show that the digital transformation of banks has improved the operational capabilities of commercial banks. Further analysis showed that the emergence of COVID-19 has negatively affected their relationship. At the same time, compared with rural commercial banks and commercial banks in the recession and phase-out periods, non-rural commercial banks and commercial banks in the growth and maturity stages play a more vital moderating role in the impact of the digital transformation of banks on the financial performance of commercial banks. The main research object of this study is Chinese commercial banks, and this study examines the results of banks' digital transformation and enriches the research on digital transformation. At the same time, this study is helpful to investors who like investment banks and has good practical significance.

Modeling and Analysis of Infectious Disease Transmission Considering Protection and Isolation

Based on the SEIR model, two compartments for self-protection and isolation are introduced, and a more general infectious disease transmission model is proposed.Through qualitative analysis of the model, the basic reproduction number of the model is calculated, and the local asymptotic stability of the disease-free equilibrium point and the endemic equilibrium point of the model is analyzed through eigenvalue theory and Routh-Hurwitz criterion.The numerical simulation and fitting results of COVID-19 virus show that the proposed SEIQRP model can effectively describe the dynamic transmission process of the infectious disease.In the model, the three parameters, i.e.protection rate, incubation period isolation rate, and infected person isolation rate play a very critical role in the spread of the disease.Raising people's awareness of self-protection, focusing on screening for patients in the incubation period, and isolating and treating infected people can effectively reduce the spread of infectious diseases. © 2023 Northeastern University.All rights reserved.

Spatial Interactions and the Spread of COVID-19: A Network Perspective

We use unique data on the travel history of confirmed patients at a daily frequency across 31 provinces in China to study how spatial interactions influence the geographic spread of pandemic COVID-19. We develop and simultaneously estimate a structural model of dynamic disease transmission network formation and spatial interaction. This allows us to understand what externalities the disease risk associated with a single place may create for the entire country. We find a positive and significant spatial interaction effect that strongly influences the duration and severity of pandemic COVID-19. And there exists heterogeneity in this interaction effect: the spatial spillover effect from the source province is significantly higher than from other provinces. Further counterfactual policy analysis shows that targeting the key province can improve the effectiveness of policy interventions for containing the geographic spread of pandemic COVID-19, and the effect of such targeted policy decreases with an increase in the time of delay.

Analysis of avian disease transmission risk and prevention measures in China

Many zoonotic diseases are found in wild animals and present a serious risk to human health, in particularly the virus carried by birds flying freely around the world is hard to control. There are three main bird migration routes which cover the most areas of China. It is important to investigate and fully understand the types of avian transmitted diseases in key areas on the bird migration routines and its impacts on both birds and human health. However, no literature is available in how about the risk of virus carried by migrating birds, and how to predict and reduce this risk of virus spreading to human being so far. In this paper, we first reviewed the main pathogen types carried by birds, including coronaviruses, influenza viruses, parasites, Newcastle disease virus (NDV), etc., and then discussed the spread risk of avian viruses to human being and animals in key areas of biosafety prevention. We also analyzed and discussed the risk of cross-spread of diseases among different bird species in nature reserves located on bird migration routes which provide sufficient food sources for migratory birds and attract numerous birds. Diseases transmitted by wild birds pose a serious threat to poultry farms, where high density of poultry may become avian influenza virus (AIV) reservoirs, cause a risk of avian influenza outbreaks. Airports are mostly built in suburban areas or remote areas with good ecological environment. There are important transit places for bird migration and densely populated areas, which have serious risk of disease transmission. Finally, this paper puts forward the following prevention suggestions from three aspects. First, establish and improve the monitoring and prediction mechanism of migratory birds, and use laser technology to prevent contact between wild birds and poultry. Second, examine and identify virus types carried by birds in their habitats and carry out vaccination. Third, protect the ecological environment of bird habitat, and keep wild birds in their natural habitat, so as to reduce the contact between wild birds and human and poultry, and thus reduce the risk of virus transmission.

Thoughts on diagnosis and treatment plan of patients infected with severe acute respiratory syndrome coronavirus 2 omicron variant in large shelter hospitals in Shanghai.

The epidemic caused by the infection of severe acute respiratory syndrome coronavirus 2 omicron variant broke out in Shanghai in Mar. 2022. Omicron variant has characteristics such as strong concealment and rapid transmission, resulting in significant differences between the current round of epidemic and that in Wuhan. The number of infected patients (mainly asymptomatic infected patients) increased rapidly in a short term. Based on dynamic zero policy, shelter hospitals were set up in time in Shanghai to treat the patients. It is suggested that medical resources and patient characteristics should be taken into account in the independent cabin of a shelter hospital with more than 10 000 beds, and the clinical medical practice should be divided to 5 modes (universal education and management, community outpatient clinic, ward duty, emergency rescue, and temporary observation and transport) to optimize the allocation of medical resources, so as to further enhance the treatment capacity and efficiency of shelter hospitals.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Study on Infection Probabilities of COVID-19 by SIR Network

Severe Acute Respiratory Syndrome Coronavirus 2 Related Diseases (COVID-19) is now one of the most challenging and concerning epidemics, which has been affecting the world so much. After that, countries around the world have been actively developing vaccines to deal with the sudden disease. How to carry out more efficient epidemic prevention has also become a problem of our concern. Unlike traditional SIR disease transmission models, network percolation has unique advantages in disease immune modelling, which makes it closer to reality in the simulation. This article introduces the study of SIR percolation network on infection probabilities of COVID-19, and proposes a method to preventing the spread of disease. © 2022 IEEE.

Covid-19: MPs call on Public Health England to publish evidence for decision to drop community testing

A cross party group of MPs has said that Public Health England's failure to publish the evidence behind its decision to discontinue community testing at the start of the covid-19 outbreak is "unacceptable.” In a 19 page letter to the prime minister, the Science and Technology Committee called for publication of the evidence base and rationale informing Public Health England's decision to concentrate testing for covid-19 in a limited number of its own laboratories and to expand testing capacity gradually, rather than surging capacity through a large number of available laboratories in research institutes, universities, and the public and private sectors.1 This had led to the government announcing on 12 March that testing would stop in the community and would occur principally within hospitals—a decision that was "one of the most consequential made during [the] crisis,” MPs said in the letter. The committee chair, Greg Clark, said, "Greater transparency around scientific advice;putting capacity in place in advance of need, such as in testing and vaccines;collecting more data earlier;and learning from other countries' approaches are some of the early lessons of this pandemic that are relevant to further decisions that will need to be taken during the weeks and months ahead.”

A real options approach to growth opportunities and resilience aftermath of the COVID-19 pandemic

PurposeFacing the challenges posed by the pandemic of COVID-19, this paper aims to contribute to the resilience of businesses through the development of a real options approach (ROA) that provides alternatives and opportunities for a decision process under situations when future events and outcomes are unknown and not capable of being known from current information.Design/methodology/approachThis paper involves a stochastic modelling process in generating a set of absolute option values, using available data and scenarios from the COVID-19 pandemic event. The modelling and simulations using ROA suggest how strategic portfolios resolve the growing problem during the endemic to all but in the most isolated societies.FindingsThis study finds the emergent correlation between circuit breakers and lockdowns, which have brought about a "distorted gravity” effect (inverse growth of global businesses and trades). However, "time-to-build” real options (i.e. deferral, expand, switch and compound exchange) start to function in the adaptive-transformative capabilities for growth opportunities of both government and corporate sectors. Significantly, some sectors grow faster than others while the compound exchange remains primarily challenging. Clearly, the government and corporate sectors are entangled, inevitably, the decoherence allows for the former to change uncertainty in the latter;therefore, government sector options change option values in the corporate sector.Originality/valueThe ROA by empirically focusing on both government and corporate sectors demonstrates under conditions of uncertainty how options in decision-making generate opportunities that hitherto have not been recognised and exercised upon by research in the immediate context of the COVID-19 pandemic. Importantly, the ROA provides an insightful concatenation (capability–behaviour approach) that drives resilience.

Anxiety and depression among epilepsy patients in low-risk areas for COVID-19 in the northern part of Guizhou Province, China, during the COVID-19 pandemic

BackgroundThis study was aimed to investigate whether patients with epilepsy (PWE) have higher depression and anxiety levels than the normal population in low-risk areas for coronavirus disease 2019 (COVID-19) in the northern part of Guizhou Province, China, during the COVID-19 epidemic, to evaluate their knowledge on COVID-19, and to analyze related factors for the psychological distress of PWE at this special time.MethodsThe survey was conducted online from February 28, 2020 to March 7, 2020 via a questionnaire. PWE from the outpatient clinic of epilepsy of the Affiliated Hospital of Zunyi Medical University, and healthy people matched for age and sex, participated in this study. Mental health was assessed via a generalized anxiety self-rating scale (GAD-7) and the self-rating depression scale (PHQ-9). The knowledge of COVID-19 in both groups was investigated.ResultsThere were no significant differences in the general demographics between the PWE and healthy control groups. The scores of PHQ-9 (P < 0.01) and GAD-7 (P < 0.001) were higher in the PWE group than in the healthy group. There was a significant difference in the proportions of respondents with different severities of depression and anxiety, between the two groups, which revealed significantly higher degree of depression and anxiety in PWE than in healthy people (P = 0, P = 0). Overwhelming awareness and stressful concerns for the pandemic and female patients with epilepsy were key factors that affect the level of anxiety and depression in PWE. Further, the PWE had less accurate knowledge of COVID-19 than healthy people (P < 0.001). There was no statistically significant difference between the two groups in the knowledge of virus transmission route, incubation period, susceptible population, transmission speed, clinical characteristics, and isolation measures on COVID-19 (P > 0.05). PWE knew less about some of the prevention and control measures of COVID-19 than healthy people.ConclusionsDuring the COVID-19 epidemic, excessive attention to the epidemic and the female sex are factors associated with anxiety and depression in PWE, even in low-risk areas.

Consumers' perceived value and use intention of cashless payment in the physical distancing context: evidence from an Asian emerging market

PurposeCOVID-19 and its measures such as physical distancing have shifted consumer payment behaviors toward cashless payment. Physical distancing is likely to remain a norm for some time to come and will be relevant in any future pandemics. This study aims to examine the impact of consumers' perceived value of cashless payment on their use intention in the physical distancing context, with the mediating role of psychological safety and the moderating role of trust propensity.Design/methodology/approachThis study used a survey method to obtain data from 690 consumers in an Asian emerging market, i.e. Vietnam. The data were analyzed using different statistical methods, including structural equation modeling.FindingsResults show that perceived value of cashless payment positively affects use intention, and this effect is mediated by psychological safety. Furthermore, trust propensity has a positive moderating effect on the link between perceived value and psychological safety.Practical implicationsThis study's findings provide implications for retailers and other stakeholders in implementing and promoting cashless payment systems, especially in the physical distancing context.Originality/valueThis study is among the first attempt to explain the relationships between consumers' perceptions, feelings of psychological safety and use intention toward cashless payment in the physical distancing context. The study's findings may also be relevant to any future pandemics.

Control System for Indoor Safety Measures Using a Faster R-CNN Architecture

This paper presents a control system for indoor safety measures using a Faster R-CNN (Region-based Convolutional Neural Network) architecture. The proposed system aims to ensure the safety of occupants in indoor environments by detecting and recognizing potential safety hazards in real time, such as capacity control, social distancing, or mask use. Using deep learning techniques, the system detects these situations to be controlled, notifying the person in charge of the company if any of these are violated. The proposed system was tested in a real teaching environment at Rey Juan Carlos University, using Raspberry Pi 4 as a hardware platform together with an Intel Neural Stick board and a pair of PiCamera RGB (Red Green Blue) cameras to capture images of the environment and a Faster R-CNN architecture to detect and classify objects within the images. To evaluate the performance of the system, a dataset of indoor images was collected and annotated for object detection and classification. The system was trained using this dataset, and its performance was evaluated based on precision, recall, and F1 score. The results show that the proposed system achieved a high level of accuracy in detecting and classifying potential safety hazards in indoor environments. The proposed system includes an efficiently implemented software infrastructure to be launched on a low-cost hardware platform, which is affordable for any company, regardless of size or revenue, and it has the potential to be integrated into existing safety systems in indoor environments such as hospitals, warehouses, and factories, to provide real-time monitoring and alerts for safety hazards. Future work will focus on enhancing the system's robustness and scalability to larger indoor environments with more complex safety hazards.

Women in the Workplace: COVID-19 and Work-Life Balance: JMI

The COVID-19 pandemic has cost the lives of an enormous number of individuals around the world, isolated people, and disrupted businesses. These are the direct and devastating consequences of the disease, however there are other peripheral impacts as well. The pandemic is continuing to threaten the work-life balance (WLB) of employees, disrupting their domestic lives, intensifying their general stress levels, and impacting their ability to focus on their careers. This is a significant problem for both working women as well as men, however this study suggests the negative impact is more disruptive to women. Women represent approximately 46% of the human resources for organizations and they are major contributors to advancements in domains such as healthcare, education, government, and commercial development. Organizations, as a defensive measure, need to adapt policies and procedures in an attempt to moderate the disruptive influences the virus is having on their human resources. This paper explores the extant literature and defragments diverse COVID-19 studies to capture an overall picture of the unique impact the pandemic is having on working women. A qualitative study involving semi-structured in-depth interviews with 20 professional women was conducted. Interviews were reviewed holistically with themes across interviews identified. Resulting themes include WLB expectations post-COVID-19, childcare, employers and expectations, and return to work. Thematic findings are discussed and observations relative to organizational implications are provided. Also offered are thoughts and suggestions for the enhancement of WLB, thereby benefiting both women and their organizations.

Analyzing the research trends of COVID-19 using topic modeling approach

PurposeThe COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.Design/methodology/approachThe current study identifies the focus areas of the research conducted on the COVID-19 pandemic. s of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.FindingsBased on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.Originality/valueWhile similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Getting a Nose for Vaccines

According to expert opinion, the incorporation of effective adjuvants that can trigger both mucosal and systemic immune responses are necessary for noninvasive vaccine delivery, and a more extensive understanding of mucosal immunity is required (4). To overcome these potential issues, it has been suggested by some experts that gelling agents, such as polymers, included in the formulation could increase the residence time of the vaccine in the nasal passage (5). Another potential intranasal candidate from Altimmune is no longer in development as a result of inadequate immune response in healthy volunteers (8).

Learning Regulatory Lessons in Times of a Crisis

The bio/pharma sector is an industry that has probably been most affected by the pandemic, not only is there an expectation for bio/pharma companies to step up and develop appropriate treatments quickly, resulting in regulatory flexibility and unprecedented collaborations, but there have also been concerns around supply chain security. Agencies have prioritized protocol consultations, shortened the timelines for clinical trial application review and approvals, and there is some focus on implementing fast-track and priority review processes for the evaluation of marketing authorization applications. Marton (Arriello): Authorities that have more experience in evaluation of data adapted quickly, while other authorities, such as those in the Commonwealth of Independent States area, stopped all activities for a period of time or adapted along the way. Gross (ProductLife): There is already some cooperation between the US and Europe, especially in the regulatory development process and in the evaluation process, so it's possible the current situation could reinforce those efforts and lead to some further joint assessments for clinical trial protocols and marketing authorization reviews.

The COVID-19 Vaccine Blind Spot

According to a global survey undertaken by Ipsos, the number of people who would be vaccinated with a COVID-19 vaccine outweighs the number who wouldn't in most countries, but some European countries ranked quite low in terms of public confidence in vaccine safety (5). [...]overcoming misgivings and improving confidence in vaccination programmes are of critical importance to ensure overall success. [...]this complacency may be a result of the eradication of certain diseases, such as polio and smallpox, which could lead to forgetfulness as to how vaccines are effective tools in epidemics.

Impact of sars-COV-2 on the attitudes of patients with prosthodontic needs

Aim: SARS-CoV-2 has caused a global pandemic that has negative consequences for many parts of life. To our knowledge, no study has assessed the effect of the SARS-CoV-2 pandemic on a possible delay in prosthodontic treatments because of a potential concern of contamination in individuals. Therefore, the purpose of this study was to assess this potential impact of fear, as well as oral health-related quality of life, in partially edentulous patients using questionnaires during the SARS-CoV-2 pandemic. Material(s) and Method(s): A total of 135 partially edentulous patients (74 females and 61 males aged 18-70 years) participated in this study. A complete questionnaire consisting of general knowledge questions on SARS-CoV-2 and the OIDP scale, which evaluates the effect of oral status on daily activities were used in participants. Result(s): Statistical analyzes showed that participants with a history of SARS-CoV-2 and/or who are aware of a member of their social circle with a history of the virus, and/or who is deceased, were unwilling to receive dental care during the pandemic. Most of the participants between the ages of 31 and 60 were more worried about the transmission of SARS-CoV-2 during dental treatment. Discussion(s): Concerns about SARS-CoV-2 contamination of patients over 30 years of age may have a negative impact on oral health due to delayed prosthodontic treatments.Copyright © 2022, Derman Medical Publishing. All rights reserved.

The influence of COVID-19 prevention and control measures on the transmission and epidemic of influenza in Chongqing

Objective: To evaluate the influence of coronavirus disease 2019 (COVID-19) prevention and control measures on the transmission and epidemic of influenza in Chongqing, so as to provide references for formulating targeted influenza prevention and control strategies. Methods: The influenza surveillance data, during the year 2018 to 2020, were collected through the "China Influenza Surveillance Information System", and the seasonal characteristics of influenza epidemic were analyzed. The percentage of influenza like cases (ILI%) and influenza virus positive rate between 2020 and 2018-2019 were compared, so as to evaluate the impact of COVID-19 prevention and control measures on influenza epidemic characteristics. Results: The annual proportions of ILI cases in Chongqing were respectively 3.53%, 2.23% and 1.2% from 2018 to 2020, while the positive rates of influenza virus were respectively 13.97%, 23.81% and 2.65%. The distribution trend of ILI% from 2018 to 2019 fluctuated were similar, but it continued to drop and remain at a low level since February 2020. The positive rate of influenza virus showed an epidemic peak from December to March in 2018-2019, also peaked from November 2019 to January 2020, but decreased to 0 in March. ILI% was positively correlated with the positive rate of influenza virus (r=0.404 8, P < 0.05). In 2020, compared with the same period of 2018-2019, the growth rate of ILI% was -66.09% and -46.32%, respectively. The positive rate of influenza virus in 2020 decreased by 81.03% and 88.87% compared with the same period of 2018-2019, respectively. The growth rates of influenza virus positive rate in January 2020 were decreased with a small rate of about 39.87%, and with a significantly decline of more than 93.65% from February. No influenza epidemic was found after March. Conclusions: Since COVID-19 prevention and control measures were implemented in January 2020 in Chongqing, the ILI% and the positive rate of influenza virus in sentinel hospitals decreased significantly. In the season of high incidence of respiratory infectious diseases, personal protection and other measures can effectively reduce influenza virus infection.

Criteria Clustering and Supplier Segmentation Based on Sustainable Shared Value Using BWM and PROMETHEE

With the advent of healthy visions, two of the trends that have become extremely important in the supply chain in recent decades are corporate social responsibility (CSR) and sustainability, which have affected the activities of buyers and suppliers. The next trend that is emerging is the vision of creating shared value (CSV), which wants to move the supply chain toward solving social problems in a completely strategic way. This research intends to develop a step-by-step framework for evaluating and segmenting suppliers based on CSV criteria in the supply chain. In the first stage, the criteria for creating sustainable shared value (CSSV) are obtained through existing activities in the field of CSR. The obtained criteria are then divided into two categories, strategic and critical, and then the weight of each criterion is obtained using the best–worst method (BWM). In the next step, based on the Kraljic model, the suppliers are divided into four clusters using the preference ranking organization method for enrichment evaluation (PROMETHEE) technique. This framework helps the buyer to conclude and select purchasing decisions and relationships with suppliers through the lenses of CSV and sustainability.