Looking into shopping behavior and attitudes during the early transition phase of the COVID-19 pandemic

As Covid-19 vaccination in the U.S. begins and hopes of a gradual return to normalcy are raised after much disruption in the shopping behavior of consumers, there is a need to examine consumers' shopping patterns at different stages of the pandemic to adequately understand the potential impacts on shopping behavior. This study explored the shopping behavior of Florida residents during the early transition phase of the pandemic, using data collected from an online survey from February to April 2021. A comprehensive analysis was conducted examining the shopping patterns in terms of purchase frequency, expenditure, and shopping trip distance as well as individuals' shopping attitudes. Further analysis of the shopping behavior was also carried out to investigate whether and how key demographic variables, including age, income, and gender, might be associated with their shopping patterns and attitudes. The analysis reveals that finding and comparing products were big motivators for using online shopping, while concerns about putting personal information online, shipping costs, and the return process may discourage online shopping. Women spent less than men but had significantly higher purchase frequencies than men. People generally liked shopping without interacting with anyone, which suggests that in-store shopping was not necessarily motivated by the need for social interactions. However, price, safety, and parking availability were the top factors in choosing the stores to shop from. Thus, urban and transportation planners should promote compact, mixed-use development and parking management strategies to reduce vehicle shopping trips and the need for separate trips for different purposes. © 2023 ICE Publishing: All rights reserved.

Sustainable Competitive Advantage Through Market And Entrepreneurial Orientation In Indonesian Retail MSMEs During The COVID-19 Recovery Stage

This study aims to measure the impact of Entrepreneurial and Market Orientation on the Sustainable Competitive Advantage of Micro, Small, and Medium Enterprises in Indonesia during the recovery phase of the COVID-19 Pandemic. The aim of this research is to find solutions to understand the factors of the survival problems of small businesses facing the uncertainty of novelty during and after the Coronavirus outbreak. Using data obtained from the contribution of the questionnaire that was responded to by 335 individuals involved in MSMEs, we calculated the effect of EO and MO on SCA using Structural Equational Modeling, Partial Less Square. The findings show that EO strongly influences MO and SCA, while the relationship between MO and SCA is weaker. © 2022 IEEE.

Consumer attitudes and sociodemographic profiles in purchasing organic food products: evidence from a Greek and Swedish survey

PurposeThis study explores Greek and Swedish consumers' attitude towards organic food consumption in order to demonstrate possible differences that can be identified based on health and ecological consciousness beliefs rather than demographic factors. The examination of an emerging and a more mature market allow the authors to provide more targeted marketing strategies that possibly increase organic food consumption in both countries.Design/methodology/approachThe authors adopt an econometric approach to the analysis of consumer behavior in relation to organic food consumption in Sweden and Greece. More specifically, the authors examine the motivations and postexperiences of organic food consumers of different socioeconomic profiles in these two countries, one in northern and one in southern Europe. The authors apply an ordered logistic regression analysis model to map out the interaction between consumer attitudes and sociodemographic variables.FindingsThe authors results show that consumers in Sweden more frequently purchase organic foods than consumers in Greece. Environmental protection and ethical values increase the odds for Swedish organic food consumers to buy organic food products. Health consciousness and family well-being are perceived as factors that increase the odds for Greek organic food consumers to buy organic foods. Sociodemographic factors do not play a pivotal role for consumer behavior in relation to organic food in both countries.Originality/valueThis study distinguishes between organic food consumers in two countries with different levels of organic food production and export activity, size of organic market, national organic labeling system and legal definition and standards of organic food. Within these differences, the organic food industry could align its marketing efforts better rather focus on simplistic demographics. The current view unfolds the fact that there are limited studies comparing two European markets at different stages of development and the factors that influence organic food consumer behavior.

Maternal Mental Health during the COVID-19 Pandemic and Its Impact on Child Cognitive Development

Introduction: The COVID-19 pandemic has had a significant impact on pregnant persons' mental health. Prepandemic data reports an impact of depression, anxiety, and stress on the emotional and behavioral development of the child. Objective(s): We aimed to evaluate the impact of gestational maternal depression, anxiety, and stress during the COVID-19 pandemic on the child's cognitive development at 18 months. Method(s): The CONCEPTION study is a prospective mother-child cohort, established since June 23, 2020, during the COVID-19 pandemic. Depression and anxiety were assessed during pregnancy using validated tools in French and English (Edinburgh Postnatal Depression Scale [EPDS] and General Anxiety Disorder-7 [GAD-7]) as well as stress and antidepressant consumption. The child's cognitive development was reported by the mother using the third edition of Ages and stages questionnaires (ASQ-3) at 18 months of age. Data on other covariates were collected electronically. Multivariate linear regression models were built to assess the association between prenatal maternal depression, anxiety, stress, and child development across domains: communication, gross motor, fine motor, problem solving, and personal-social domains while adjusting for covariates. In addition, sensitivity analyses have been added like COVID-19 diagnosis. Result(s): Overall, 445 mother-child dyads were included in analyses (mean gestational age at delivery 39.2 weeks +/-1.8). Mean gestational scores were, for depression (EDPS, 7.8+/-5.4), anxiety (GAD-7, 4.4+/-4.0), and stress (4.3+/-2.1). Adjusting for potential confounders, as well as for maternal depression and anxiety during pregnancy, maternal prenatal stress was associated with communication skills (adjusted beta = 1.5, CI 95 % (0.34, 2.7)) and fine motor skills (adjusted beta = 1.06, CI 95 % (0.02, 2.6)) at 18 months age. Gestational depression, anxiety, and antidepressants use were not associated with any of the ASQ-3's domains. In addition, no significant association was found in stratified analysis for COVID-19 diagnosis. Conclusion(s): During the COVID-19 pandemic, gestational maternal stress was associated with some aspects of childhood cognitive problems, including communication and fine motor skills. Our results highlight the need to continue following-up on children until kindergarten to better understand the impact of maternal mental health during pregnancy on the child's cognitive development in the era of COVID-19.

[Changes in Secondary Inorganic Ions in PM2.5 at Different Pollution Stages Before and After COVID-19 Control].

To investigate the change characteristics of secondary inorganic ions in PM2.5 at different pollution stages before and after COVID-19, the online monitoring of winter meteorological and atmospheric pollutant concentrations in Zhengzhou from December 15, 2019 to February 15, 2020 was conducted using a high-resolution (1 h) online instrument. This study analyzed the causes of the haze process of COVID-19, the diurnal variation characteristics of air pollutants, and the distribution characteristics of air pollutants at different stages of haze.The results showed that Zhengzhou was mainly controlled by the high-pressure ridge during the haze process, and the weather situation was stable, which was conducive to the accumulation of air pollutants. SNA was the main component of water-soluble ions, accounting for more than 90%. Home isolation measures during COVID-19 had different impacts on the distribution characteristics of air pollutants in different haze stages. After COVID-19, the concentration of PM2.5 in the clean, occurrence, and dissipation stages increased compared with that before COVID-19 but significantly decreased in the development stage. The home isolation policy significantly reduced the high value of PM2.5. The concentrations of NO2, SO2, NH3, and CO were the highest in the haze development stage, showing a trend of first increasing and then decreasing. The concentration of O3 was lowest in the pre-COVID-19 development stage but highest in the post-COVID-19 development stage. The linear correlation between[NH4+]/[SO42-] and[NO3-]/[SO42-] at different time periods before and after COVID-19 was strong, indicating that the home isolation policy of COVID-19 did not change the generation mode of NO3-, and the corresponding reaction was always the main generation mode of NO3-. The correlation between[excess-NH4+] and[NO3-] was high in different periods before COVID-19, and NO3- generation was related to the increase in NH3 or NH4+ in the process of PM2.5 pollution in Zhengzhou.

Molecular Docking and Simulation Analysis of Cyclopeptides as Anticancer Agents

Background: Cancer is a leading cause of death for people worldwide, in addition to the rise in mortality rates attributed to the Covid epidemic. This allows scientists to do additional research. Here, we have selected Integerrimide A, cordy heptapeptide, and Oligotetrapeptide as the three cyclic proteins that will be further studied and investigated in this context.Methods: Docking research was carried out using the protein complexes 1FKB and 1YET, downloaded from the PDB database and used in the docking investigations. Cyclopeptides have been reported to bind molecularly to human HSP90 (Heat shock protein) and FK506. It was possible to locate HSP90 in Protein Data Banks 1YET and 1FKB. HSP90 was retrieved from Protein Data Bank 1YET and 1FKB. Based on these findings, it is possible that the anticancer effects of Int A, Cordy, and Oligo substances could be due to their ability to inhibit the mTOR rapamycin binding domain and the HSP90 Geldanamycin binding domain via the mTOR and mTOR chaperone pathways. During the calculation, there were three stages: system development, energy reduction, and molecular dynamics (also known as molecular dynamics). Each of the three compounds demonstrated a binding affinity for mTOR's Rapamycin binding site that ranged from -6.80 to -9.20 Kcal/mol (FKB12).Results: An inhibition constant Ki of 181.05 nM characterized Cordy A with the highest binding affinity (-9.20 Kcal/mol). Among the three tested compounds, Cordy A was selected for MD simulation. HCT116 and B16F10 cell lines were used to test each compound's anticancer efficacy. Doxorubicin was used as a standard drug. The cytotoxic activity of substances Int A, Cordy A, and Oligo on HCT116 cell lines was found to be 77.65 μM, 145.36 μM, and 175.54 μM when compared to Doxorubicin 48.63 μM, similarly utilizing B16F10 cell lines was found to be 68.63 μM, 127.63 μM, and 139.11 μM to Doxorubicin 45.25 μM.Conclusion: Compound Cordy A was more effective than any other cyclic peptides tested in this investigation.

Reliability and acceptability of web-based administration of spanish ages and stages questionnaires third edition

to analyse the reliability of 6 age intervals of Spanish web-based Ages and Stages Questionnaires Third Edition (WB-ASQ-3) and parents' acceptability, in a clinical practice context, during COVID-19 pandemic and lockdown in Chile. Cross-sectional study with a longitudinal component. Internal consistency was analysed by Cronbach's alpha and Pearson product-moment correlation, Pearson's correlations between intervals questionnaires were analysed. Acceptability was determined using a parental satisfaction survey. 1061 children completed 2318 validated questionnaires. Scores were compared with normative sample, except for Gross motor at 8 and 12 months, and Communication at 12, 18 and 24 months, without differences to the previous Chileans sample. In domain analysis, Cronbach's alpha ranged from 0.36 to 0.80 and reached 0.74 to 0.81 for the overall test. Strong positive correlation between the domain and overall score was obtained. Correlation between most questionnaires at different ages was positive and significant. Parental surveys show high satisfaction;parents were thankful for being able to monitor children's development. WB-ASQ-3 is a reliable and feasible screening system, particularly when the test is taken as a whole, rather than by domains. It is remarkably high acceptability among parents, especially in complex times such as the lockdown and the COVID-19 pandemic. (PsycInfo Database Record (c) 2023 APA, all rights reserved) AD -, Paula Schonhaut, Luisa: lschonhaut@alemana.cl Schonhaut, Luisa: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Armijo, Ivan: Faculty of Psychology, Universidad del Desarrollo, Santiago, Chile Rojas B., Paula: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Cabrera, Leonardo: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile Boisier, Roberto: Clinica Alemana, Faculty of Medicine, Universidad del Desarrollo, Santiago, Chile

Exploring the effectiveness of persuasive games for disease prevention and awareness and the impact of tailoring to the stages of change

Persuasive games are widely implemented in the healthcare domain to promote behaviour change among individuals. Previous research shows that using persuasive games increases motivation and awareness, leading to a positive change in behaviour. However, there is little knowledge on which persuasive strategies will motivate people at different Stages of Behaviour Change and whether tailoring persuasive games to match users' stages of change will increase their effectiveness with respect to their motivational appeal towards promoting disease awareness and prevention using the ARCS motivation scales and their intention to adopt the precautionary measures. To address this gap, using COVID-19 as a case study, we designed two different versions of a persuasive game, called COVID Pacman, using different persuasive strategies. The two versions of the game target the same goal of motivating the adoption of precautionary measures. We conducted a quantitative study (N=127) followed by semi-structured interviews of 18 participants. The results of conducting an ANOVA on the quantitative data and thematic analysis on the qualitative study show that tailoring the persuasive games to individual's stages of change by using appropriate persuasive strategies increased their effectiveness with respect to their ability to motivate people to adopt the precautionary measures towards disease prevention compared to the non-tailored version. [ FROM AUTHOR] Copyright of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

COVID-19 Challenges and the Role of Islamic Fintech

COVID-19 has created massive havoc to the global operations and business processes and the uncertain economic conditions have made the world think about the abrupt solutions to tackle the problem efficiently. Islamic fintech has provided the world with innovative solutions to overcome the devastating impact of this pandemic. Against this backdrop, this study aims to investigate the effective solutions provided by Islamic fintech in the post-COVID period. The study mainly opted for the qualitative framework to carry out its research and provide workable solutions to the world offered by Islamic fintech in the post-COVID era. Various technological innovations compatible with Islamic finance have initiated a great deal of competition with its long-lasting and sustainable impact on the growth of the economies. The COVID period, which is still going on, is marked by substantial growth and development followed by the fintech innovations to address the demands of the customers. This study is expected to play a key role in promoting the Islamic fintech solutions to overcome the economic hazards created by the coronavirus pandemic. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Analyzing the impact of sports education and psychological needs on kids' educational outcomes-a machine learning approach

Educators use standardized tests to assess children's ability to learn from other disciplines, such as neuroscience. By looking at this data, we can better understand how kids process and learn data and their ability to learn. This allows us to provide home and school support and specialized learning techniques. A child's development goes through stages from birth to adulthood. Children's growth and development are influenced by numerous factors, including their environment, genetics, and their culture. Kids find it difficult to express themselves, let alone examine their emotions. The field of child psychology can offer vital insight into this situation. Children's development is one of the ultimate goals of these professionals, who aim to improve parenting, child care, education, and psychotherapy by using that knowledge. Psychological and educational variables are removed to understand and research children's education. The modified support vector machine (SVM) method extracts information to predict whether educational and psychological factors influence a child's education. The research work is analyzed in a Java simulation environment, which proves that psychoanalysis based on MSVM has a stronger influence on children's studies.

A nanofiber Murray membrane with antibacterial properties for high efficiency oily particulate filtration

Particulate air pollution represented by PM2.5 is one of the biggest environmental challenges in the 21st century. Especially in 2020, the global outbreak of COVID-19 has brought new challenges to melt-blown filter materials, such as the attenuation of filtration efficiency with breathing, even no filtration effect for viruses as their smaller diameter, the sharp decline of filter efficiency after oily filtration cycle, and its limit in some explosive occasions. Here, using the diameter difference of polystyrene (PS), polyvinylidene fluoride (PVDF) and nylon 6(PA6) fibers, we report a multistage structure nanofiber membrane (PS/PVDF/PA6&Ag MSNMs) with high efficiency, low resistance and antibacterial effect by constructing gradient pore structure and introducing silver nanoparticles (Ag NPs), overcoming the above defects. The average filtration efficiency of PS/PVDF/PA6&Ag MSNMs for diisooctyl sebacate (DEHS) monodisperse particles from 0.2 μm to 4.9 μm was 99.88%, and the pressure drop was only 128 Pa. After repeated circulation for 100 times, the filtration efficiency and pressure drop remained stable. Above all, the antibacterial nanofiber membrane with high efficiency and low resistance has been preliminarily constructed, the future research will further focus on the performance after circulation. © 2023 Elsevier Ltd

Real-Time Face Mask Detection using Computer Vision and Machine Learning

Face mask detection is the process of identifying whether a person is wearing a face mask or not in real-time through the use of computer vision and machine learning algorithms. This technology can be used in various applications, such as security systems at public transportation hubs or in hospitals, to ensure compliance with health and safety regulations during a pandemic or other infectious disease outbreaks. The technology works by analyzing images or video streams from cameras and computer vision techniques are used to detect the presence of a face mask on a person's face. The output of the system is a binary result (i.e., mask detected or not detected) or a more detailed result that provides information about the type of mask and its location on the face. © 2023 IEEE.

Research on Measurement and Evaluation of High-Quality Entrepreneurship: A Review and Synthesis Prospectus

How to measure and evaluate the quality of entrepreneurial activities is not only an important academic issue in the field of entrepreneurship research but also an important practical problem faced by economic policymakers, especially in the context of the global Covid-19 epidemic and the shift of China's economy from the entrepreneurship high-rate growth stage to the high-quality grow stage. In this paper, we explore the development process of defining and measuring the high-quality entrepreneurial activities, discuss and synthesize the various measurement index for identifying the high-quality entrepreneurship in a complex and uncertain context, concluding that measurement and evaluation of high-quality measurement index experiencing the process of single index to composite index with the consideration of impact of general entrepreneurship policy and specific environment, and also the measurement and evaluation more and more focused on antecedent of entrepreneurial activities which can effectively predict the high quality of entrepreneurial activities from the onset of new firms instead of consequence of entrepreneurial activities. At the end of the article, we propose three viewpoints: First, entrepreneurial quality can be measured using quantitative methods;second, there are limitations for the evaluation of high-quality entrepreneurial quality in practice;third, entrepreneurship indicators should be continuously updated with the accumulation of practice. © 2023 The authors and IOS Press.

The Challenge of Introducing Informatics Topics From an Early Age in Peru During the Pandemic

Contribution: Adaptation and application of a methodology to introduce Informatics from an early age to students living in disadvantaged areas in Peru and analysis of its effects. Background: On the on hand, during the COVID-19 pandemic, students living in disadvantaged areas in Peru were confined to their home under the supervision of their family and without access to computers. On the other hand, the multistage sequencing knowledge transmission methodology (L2T2L), first proposed in JolasMATIKA (Basque Country), to introduce Informatics topics using CS Unplugged from university to school had shown to be effective. Research Question: Does the introduction from an early age into Informatics affect the appreciation of students living in disadvantaged areas about what Informatics is and their attitude toward it? Is the methodology used appropriate for times of pandemic? Methodology: A pilot project based on the L2T2L methodology was introduced at the Public School of the Religious Association Br. Thomas Helm S.M. (Peru) for primary and secondary education during the 2020/2021 pandemic academic year. University engineering students from the UTEC University were in charge of initiating the transmission of Informatics concepts to teachers of secondary and primary education who transmitted the knowledge to their respective students, using mobile phones. Surveys were used to gather data at the beginning and the end of the experience. Findings: A methodology adequate for introducing Informatics from an early age and for reducing the digital divide between technologically advanced communities and more disadvantaged communities. Students and family unit members changed their opinion about Informatics. IEEE

Barriers to recruiting primary care practices for implementation research during COVID-19: A qualitative study of practice coaches from the Stop Unhealthy (STUN) Alcohol Use Now trial.

Background: The COVID-19 pandemic has brought widespread change to health care practice and research. With heightened stress in the general population, increased unhealthy alcohol use, and added pressures on primary care practices, comes the need to better understand how we can continue practice-based research and address public health priorities amid the ongoing pandemic. The current study considers barriers and facilitators to conducting such research, especially during the COVID-19 pandemic, within the context of recruiting practices for the STop UNhealthy (STUN) Alcohol Use Now trial. The STUN trial uses practice facilitation to implement screening and interventions for unhealthy alcohol use in primary care practices across the state of North Carolina. Methods: Semistructured interviews were conducted with a purposive sample of 15 practice coaches to discuss their recruitment experiences before and after recruitment was paused due to the pandemic. An inductive thematic analysis was used to identify themes and subthemes. Results: Pandemic-related barriers, including challenges in staffing, finances, and new COVID-19-related workflows, were most prominent. Competing priorities, such as quality improvement measures, North Carolina's implementation of Medicaid managed care, and organizational structures hampered recruitment efforts. Coaches also described barriers specific to the project and to the topic of alcohol. Several facilitators were identified, including the rising importance of behavioral health due to the pandemic, as well as existing relationships between practice coaches and practices. Conclusions: Difficulty managing competing priorities and obstacles within existing practice infrastructure inhibit the ability to participate in practice-based research and implementation of evidence-based practices. Lessons learned from this trial may inform strategies to recruit practices into research and to gain buy-in from practices in adopting evidence-based practices more generally. Plain Language Summary: What is known: Unhealthy alcohol use is a significant public health issue, which has been exacerbated during the COVID-19 pandemic. Screening and brief intervention for unhealthy alcohol use is an evidence-based practice shown to help reduce drinking-related behaviors, yet it remains rare in practice. What this study adds: Using a qualitative approach, we identify barriers and facilitators to recruiting primary care practices into a funded trial that uses practice facilitation to address unhealthy alcohol use. We identify general insights as well as those specific to the COVID-19 pandemic. Barriers are primarily related to competing priorities, incentives, and lack of infrastructure. Facilitators are related to framing of the project and the anticipated level and type of resources needed to address unhealthy alcohol use especially as the pandemic wanes. Implications: Our findings provide information on barriers and facilitators to recruiting primary care practices for behavioral health projects and to implementing these activities. Using our findings, we provide a discussion of suggestions for conducting these types of projects in the future which may be of interest to researchers, practice managers, and providers.

Rebuilding the workplace to promote young workers' mental health

Purpose: Young adults have been particularly adversely affected by COVID-19-related disruptions, especially in relation to industries with an over-representation of young adults. This study, a report, aims to discuss the findings from survey data from young adults who reported poorer mental health comparative to older generations prior to the pandemic. Drawing on the international literature and the research findings, the authors propose recommendations for rebuilding the workplace post-pandemic to support young adult's mental health. Design/methodology/approach: Data from 1,999 respondents from 200 organisations in the UK were sought in relation to workplace well-being and mental health through a 15-item multiple choice online survey. Overall, 17% of the sample were senior management, 31% junior management, 37% in non-management roles and a further 15% stated "other". Exploratory quantitative analyses were undertaken to assess differences in responses to questions between age groups. Findings: Participants in the 16-25-year-old age group were more likely than any other age group to report that work adversely affected their mental health, that their mental health challenges influenced their performance at work, that they had witnessed colleagues' employment negatively influenced by mental health challenges and they felt more comfortable citing physical health challenges for absence than mental health difficulties. Originality/value: COVID-19-related disruptions meant a large-scale move to remote working for many people. As we return to physical workplaces, we have an exciting opportunity to reform and improve the status quo. The findings, in relation to the mental health of young adults, highlight key risk factors that need to be addressed. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Emergency as a problem of our time

The significance of the work is determined by the current situation in the modern world: climate change, accompanied by catastrophic consequences for humanity, including the coronavirus pandemic. All these phenomena provide grounds for considering and improving both the essence of the concepts of «emergency situation» and their definitions, which will make it possible to find mechanisms for the rational use of resources to compensate and/or prevent them. In accordance with this, the tasks were set: to compare the known definitions of emergency situations, to identify and clarify the relationship between the formulation of emergencies and their content, to clarify their relationship with disasters, to identify the main stages of their development, and general mechanisms that can allow them to more effectively resist them. It is proposed to revise the normative definition of an emergency situation. © 2022 Zaporizhia Medical Academy of Post-Graduate Education Ministry of Health of Ukraine. All rights reserved.

Node Research on the Involvement of China's Carbon Tax Policy in the Context of COVID-19

The outbreak of COVID-19 provides a rare opportunity for the implementation of the carbon tax. To determine which stage is the most appropriate for introducing the policy, a simulation model based on China's panel data is established to analyze the impact of the carbon tax on government revenue and residents' income from five scenarios. A new GM-SD modeling method is proposed to ensure the accuracy of the model. The results show that the impact of the carbon tax on the government and the public is significantly different at different stages, and even the implementation of the carbon tax in the early stage of COVID-19 will reduce the government's tax revenue. The score analysis of government tax revenue, residents' surplus disposable income, residents' emotional value, and government administrative power finds that the middle period of COVID-19 is the best time to implement the policy. In addition, a more detailed analysis of five aspects, including total population, energy consumption, and national income, shows that the best time to implement the carbon tax policy is when the damage degree of COVID-19 is moderate. The analysis results can provide a reference and basis for China to introduce the carbon tax in the event of similar events as COVID-19, and have reference significance for other countries that have not implemented a carbon tax. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

How do companies respond to consumer advocacy behavior in their digital marketing strategies?

This study aims to confirm whether the series of marketing strategies designed by companies have followed the consumer process in product consumption with reference to the stages of the 5As: aware, appeal, ask, act, and advocate. Companies respond to these stages by implementing five market interventions: consumer affinitive direction, touch power strengthening, market preference enhancement, loyalty retain quality, and e-advocacy leverage capacity. An empirical analysis using AMOS was carried out on 352 online-based culinary business operators in Indonesia, a field that has experienced massive expansion during the Covid-19 pandemic. From the results of this analysis, it can be concluded that although the market interventions do not follow the exact same process as the 5A concept, in general, the stages followed by companies in online product marketing are compatible and parallel to those in the consumer process of product consumption. The various concepts of digital marketing strategies contribute conceptually to enhance the scope of e-advocacy theory from the perspective of strategic marketing, a field that has received limited research attention. © Ahmad Ikhwan Setiawan, 2023.

Pandemic Effect of COVID-19: Identification, Present Scenario, and Preventive Measures Using Machine Learning Model

Mutation in viruses is known to be an unavoidable phenomenon. But at times, it may become a life-threatening pandemic just like in the case of the 2019 novel coronavirus, formally named as SARS-CoV-2, which consumed around 36,405 lives out of 750,890 infections as per the data available with the World Health Organization as of the end of March 2020. Found to be from the family of earlier known outbreaks (SARS and MERS) of the twenty-first century, it has now become a public health emergency of international concern (PHEIC). Countries around the world have spent millions of dollars to get a positive sign of finding vaccines, but still it remains an unsolved mystery. Even though there is implementation of strict lockdown measures from several affected countries around the globe, the trend line of COVID-19 epidemic is still increasing exponentially. Being in this scenario, this paper deals about the outbreak of 2019-nCoV and its structure, growing stages, global statistics, transmission modes, and most possible precautionary methods and also its emphasis on creating public awareness by answering few key clarifications about novel beta coronavirus disease. The machine learning method used in this study was taught using records from COVID-positive tests. Results from a week were included in the testing set (individuals who were confirmed to have COVID-19). This proposed model predicted the COVID-19 lab findings with high accuracy by only using eight numeric data, age 60, knowing contact with an infected individual, and the existence of five early clinical signs. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.