ABSTRACT
The aim of the study to examine the level of psychological distress among nursing students volunteering in Covid-19 frontline prevention in Vietnam and related factors. Nursing students volunteering in frontline prevention presented emotional effects, including positive and negative effects on their psychological well-being. A cross-sectional study design was used and four hundred seventy-one students who volunteered for frontline prevention were randomly selected in the study using inclusion criteria. Data were collected from October to December 2021. A demographic questionnaire, the General Self-Efficacy Scale, the 6-item Kessler Psychological Distress Scale, the Brief Coping Orientation to Problems Experienced Inventory Questionnaire, and the Quality of life EQ-5D-5L were used to measure the variables. The data analysis was conducted by using descriptive statistics and linear regression. The research found that students presented a high risk of psychological distress. There was a significant correlation between problem-and emotional-coping strategies, quality of life, and psychological distress. Moreover, family support and psychological distress among nursing students had a strong relationship. Lecturers and high education institutions responsible for nursing students should pay more attention to developing psychological interventions in enhancing coping strategies and quality of life and various supports to reduce distress among nursing students fighting the epidemic.
ABSTRACT
Hotels have increasingly engaged in environmentally responsible initiatives to demonstrate their commitment to environmental concerns and sustainable hospitality and tourism. These initiatives are expected to become even more popular in the context that the COVID-19 crisis has driven people to further acknowledge the importance of the ecosystem. This study aims to examine how hotels' environmental corporate social responsibility (CSR) affects customers' green word-of-mouth (WOM). Structural equation modeling was employed to analyze data from an online survey of 749 Chinese respondents. The findings reveal that hotels' environmental CSR indirectly enhances customers' green WOM intention via green perceived value (i.e., cognitive route) and green hotel pride (i.e., emotional route). Furthermore, the indirect effects of hotels' environmental CSR on customers' green WOM are more substantial for hotels with higher star ratings. These findings offer valuable insights for hoteliers to develop genuine environmentally responsible initiatives that can generate positive customer responses.
ABSTRACT
Financial distress is a vexing managerial challenge for businesses worldwide, especially during a turbulent period like the COVID-19 pandemic. Motivated by an increasing number of closed businesses in Vietnam during the recent COVID-19 pandemic, this study is conducted to provide a comprehensive analysis of financial distress for Vietnamese listed firms. Machine learning approaches are employed using the annual data of 492 listed firms from 2012 to 2021. Specifically, we aim to identify the appropriate distress predictors for the Vietnamese listed firms using LASSO, a technique known to be superior compared to other variable selection techniques. Empirical results reveal that there are four key financial distress predictors for the Vietnamese listed firms, namely the ratios of (i) working capital and total assets, (ii) retained earnings and total assets, (iii) earnings before interest and taxes and total assets and (iv) net income and total assets. We also conducted an industry-level analysis and found that the Energy sector experienced the highest number of financially distressed firms during Covid-19. In contrast, Communication Services, Health Care, and Utilities had the lowest number of distressed firms. Policy implications have emerged based on these important findings from our analysis.
ABSTRACT
During the COVID-19 pandemic, some perceptions of Asian Americans in the United States shifted as anti-Asian hate crimes escalated. However, little is known about how these shifting views manifest in K-12 schools. This qualitative case study uses Asian critical race theory to examine how two Southeast Asian American students faced exclusion and erasure before and during the COVID-19 pandemic and how their Southeast Asian American teacher advocated for them at a public elementary school in the Pacific Northwest. Implications include how researchers can pursue inquiries about Asian American students' holistic development and how in-service and pre-service teachers can address anti-Asian xenophobia.
ABSTRACT
Purpose: This research aims to determine the impact of the CEO's risk-taking tendencies and the transformational leadership style on the use of the management accounting system information, as well as the mediating impact of product creativeness and organizational citizenship behavior in this context. It also provides empirical evidence from Vietnamese enterprises. Design/methodology/approach: The current research was conducted using quantitative methods. It was conducted during the ongoing Covid-19 pandemic in Vietnam. The study population is represented by all of the Vietnamese enterprises listed on stock exchanges. Therefore, an online email questionnaire was used for data collection. Specifically, 670 emails were sent to CEOs and 146 complete responses were collected (21.79% rate). Findings: By using the partial least squares structural equation modeling (PLS-SEM), the study results show that the CEO's risk-taking tendencies and transformational leadership style have a significant positive effect on the use of the management accounting system information. Additionally, product creativeness mediates the relationship between the CEO's risk-taking tendency, and the use of the management accounting system information. Also, organizational citizenship behavior mediates the relationship between transformational leadership style and the use of the management accounting system information. Research limitations/implications: Despite attempts to overcome by GDP contribution ratio, convenience sampling tends to cause common method bias. Furthermore, small sample sizes can lead to heterogeneity and unstable estimates of the parameter. Causality issues may also arise because the model has no control variables. Therefore, later studies should take the necessary additional steps when sampling to stay consistent with the study population, possibly conducting surveys in several batches to determine the correlation between changes in variables, and allowing the ability to discover and add any necessary control variables. Originality/value: This research acts as a bridge between management and management accounting, confirming the importance of this combination when efficiently using the management accounting system. © 2023, Emerald Publishing Limited.
ABSTRACT
Prior to the Covid-19 pandemic, a gender divide and inequality already existed within the world's economies;the global pandemic exacerbated this further. Many developing countries have been impacted enormously by the pandemic. Also, a sizeable portion of the workforce in these developing countries works within the informal economy, and they are predominantly women who are financially excluded. This study provided a conceptual framework illustrating the place of women in the informal economy and how the pandemic has affected their prospects in contributing to the achievement of the United Nations Sustainable Development Goals (SDGs). Based on the literature on financial inclusion and participation of women in the informal economy, this study provides several policy recommendations within the context of Africa. The study also offers theoretical contributions for academics, students, researchers, gender specialists, activists, financial service providers, and policymakers on the interconnections between gender, financial inclusion, and sustainable development. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021.
ABSTRACT
Identifying and exploring emerging trends in news is becoming more essential than ever with many changes occurring around the world due to the global health crises. However, most of the recent research has focused mainly on detecting trends in social media, thus, benefiting from social features (e.g. likes and retweets on Twitter) which helped the task as they can be used to measure the engagement and diffusion rate of content. Yet, formal text data, unlike short social media posts, comes with a longer, less restricted writing format, and thus, more challenging. In this paper, we focus our study on emerging trends detection in financial news articles about Microsoft, collected before and during the start of the COVID-19 pandemic (July 2019 to July 2020). We make the dataset accessible and we also propose a strong baseline (Contextual Leap2Trend) for exploring the dynamics of similarities between pairs of keywords based on topic modeling and term frequency. Finally, we evaluate against a gold standard (Google Trends) and present noteworthy real-world scenarios regarding the influence of the pandemic on Microsoft. ©2022 Association for Computational Linguistics.
ABSTRACT
This study empirically explores the effects of bank funding diversity on Vietnamese commercial banks' profitability and risk in the context of the COVID-19 pandemic. The panel regression method was used to analyze quarterly data from 27 Vietnamese commercial banks from Q1-2016 to Q1-2021. The study findings demonstrate that commercial banks with diverse financing sources are more profitable and riskier. In the meanwhile, the COVID-19 outbreak did not diminish the short-term profitability of Vietnamese commercial banks, but it did increase their exposure to risk. On the basis of the empirical findings, this paper also proposes a number of strategies to assist Vietnamese commercial banks in operating more effectively and securely in the context of the COVID-19 pandemic. © 2023 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
ABSTRACT
The requirement for quantity and quality of human resources, especially occupations in the economics field, has played a significant role in recovering and improving the COVID-19 pandemic economic situation in Vietnam. Therefore, this encouraged economics majors to attract a large number of students to enrol in 2021. This study aims to determine the factors affecting the career choices of economic students in Vietnam. The research focuses on analysing six factors to determine the relationship between variables that help explain students' compatibility and their chosen majors. A survey questionnaire using simple random sampling collected 309 data points from economics students at a private university in Vietnam. Methodologies such as Cronbach's Alpha, exploratory factor analysis, confirmatory factor analysis, regression, and structural equation modelling were employed using SPSS and Amos software to check the correlation between factors and draw conclusions about factors affecting students' career choices. The results revealed that influencers, interests, financial resources and career opportunities were critical elements that influenced students' decisions in choosing a major. Interest (to pursue passion) was considered by students in choosing a major - which could also encourage them to develop their own capabilities. Additionally, the data proved that most job selections were based on future employability;therefore, career opportunities had the most positive impact on students' decisions. The findings of this study identify determinants of students' choice in economics majors and their relationships and can improve students' awareness and future orientation before deciding to choose a major. Moreover, this study provides valuable data for universities to formulate and develop strategies to attract students, such as career consulting. © 2023 The Author(s)
ABSTRACT
Traditional approaches to system management are not suited to highly uncertain conditions. Hard system approaches with a top-down management approach are often used to manage well-defined systems that are not easily able to cope with uncertainty. Soft system approaches of the with bottom-up or participative style may cause a lack of conformance to industry standards. Few studies have investigated these approaches within the context of COVID-19 pandemic. Therefore, this paper aims to use the philosophy of Total Systems Intervention to investigate the applicability of an integrated management approach to cope with the uncertainty of COVID-19. Three different countries from Europe, Oceania and Asia are selected as typical case studies to clarify the strengths and weaknesses of differing management approaches. The case studies demonstrate that using an integrated management approach can potentially assist decision-makers to deal with crises and conclusively reveal the superiority of the integrated approach, independent of cultural milieu. © 2023 The Authors. Systems Research and Behavioral Science published by International Federation for Systems Research and John Wiley & Sons Ltd.
ABSTRACT
In the financial market, systemic risk is defined as the possibility that an event at the company level could trigger severe instability or collapse of an entire industry or the whole economy. Thus, understanding systemic risk is crucial for the financial institutions, large corporations, investors and regulators. This article investigates systemic risk and spillover effect using the new Financial Risk Meter ((Formula presented.)) index, which is obtained from running quantile linear regression and Least Absolute Shrinkage and Selection Operator ((Formula presented.)) method. The (Formula presented.) index is obtained to identify the highly risky periods, the contributors to systemic risk and the potential activators of spillover effect. Moreover, interconnection between firms can be visualized as a network. We use a data set consisting of daily stock returns from 35 financial institutions and real estate firms in Vietnam, combined with 4 macroeconomic variables over the period from November 2011 to December 2020. The findings indicate that over the considered period, some detected highly risky periods are 2012, 2018 and 2020, probably due to the non-performing loan crisis in Vietnam, US-China trade war and global COVID-19 outbreak. Some active activators of risk spillover effect are also identified. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
ABSTRACT
The aim of the study to examine the level of psychological distress among nursing students volunteering in Covid-19 frontline prevention in Vietnam and related factors. Nursing students volunteering in frontline prevention presented emotional effects, including positive and negative effects on their psychological well-being. A cross-sectional study design was used and four hundred seventy-one students who volunteered for frontline prevention were randomly selected in the study using inclusion criteria. Data were collected from October to December 2021. A demographic questionnaire, the General Self-Efficacy Scale, the 6-item Kessler Psychological Distress Scale, the Brief Coping Orientation to Problems Experienced Inventory Questionnaire, and the Quality of life EQ-5D-5L were used to measure the variables. The data analysis was conducted by using descriptive statistics and linear regression. The research found that students presented a high risk of psychological distress. There was a significant correlation between problem-and emotional-coping strategies, quality of life, and psychological distress. Moreover, family support and psychological distress among nursing students had a strong relationship. Lecturers and high education institutions responsible for nursing students should pay more attention to developing psychological interventions in enhancing coping strategies and quality of life and various supports to reduce distress among nursing students fighting the epidemic.Copyright © 2022 Mohan R, et al.
ABSTRACT
Purpose: The authors investigate the impacts of international capital inflows on bank lending in the Association of Southeast Asian Nations-6 (ASEAN-6) countries on the dynamics of both bank loan volumes and credit risk-taking. The authors further explore the heterogenous impacts of different components of the foreign capital. As a robustness check, the authors also examine the role of crisis periods and agency problem on the relationship between international capital inflows and bank lending. Design/methodology/approach: The authors explore the impacts of international capital inflows on bank lending in the ASEAN-6 countries, including Malaysia, Indonesia, Thailand, Philippines, Singapore and Vietnam. The authors employ quarterly data from 2005Q1 to 2021Q2 from 45 commercial banks in the ASEAN-6 countries. The article uses bank-fixed and time-fixed effects in the panel dataset to account for any unobserved heterogeneity. Findings: The authors find that capital inflows to the ASEAN-6 countries are associated with higher bank loan growth and lower loan loss provisions to net interest income ratios. Moreover, the positive relationships between capital inflows to the bank loan growth and credit risk-taking are mainly driven by the dynamics in foreign direct investments (FDIs) and other inflow (OI) components. Contrary to the global financial crisis (GFC), the authors note that the mediating role of capital inflows on bank lending is of particular importance in the COVID-19 pandemic. Research limitations/implications: This study has some limitations that provide vendors for future research. First, while the authors focus on the impact of capital inflows on bank-level lending activities, future research can also explore the role of foreign capital on bank efficiency and financial stability. Second, although foreign capital fluctuates the most during crisis periods, the movement of capital inflows is also sensitive to other periods of heightened global uncertainty. Thus, rather than focus on the behavior of foreign capital during crisis periods, future research can examine and explore the impacts of capital inflows in different periods of "stop” and "surge” for sudden contraction and boom in capital inflows to the ASEAN-6 countries. Originality/value: First, the authors provide a comprehensive analysis of international capital inflows' impact on bank lending in the ASEAN region on both bank loan volumes and credit risk-taking. Second, the authors provide evidence of the impact of different forms of foreign capital on the bank lending. Third, the authors investigate the heterogeneous impact of foreign capital on crisis periods and bank sizes, which the authors emphasize the unusual characteristics of the COVID-19 crisis compared with the GFC. © 2023, Emerald Publishing Limited.
ABSTRACT
Writing skills are not easy to develop in English language learning, especially when online learning is being implemented amid the COVID-19 pandemic. In order to improve students' writing skills, as well as increase students' autonomy, peer assessment is often adopted. The article presents findings of the research conducted in late 2021 on students' perceptions towards the use of peer assessment in an online English writing class in Vietnam. The research applied a mixed method model with a questionnaire and an interview as the instruments. The questionnaire has 18 items divided into 4 parts: students' personal information, students' attitudes towards peer assessment, advantages of peer assessment, and disadvantages of peer assessment. The participants were 97 English as a Foreign Language (EFL) students who experienced one semester studying "Advanced Writing Skills” in online classes. The findings of the research revealed that students had negative attitudes towards the application of peer assessment to improve writing skills and they shared ideas of advantages and disadvantages of peer assessment. It is recommended that specific guidelines on how to do peer assessment with samples should be provided before teachers implement this teaching technique in class. In addition, in online classes, teachers need to be aware of making students familiar with peer assessment, as well as in the virtual environment. Practitioner Notes 1. Peer assessment can be applied as an effective method to develop students' writing skills in both offline and online situations. 2. To implement online peer assessment, practitioners should carefully design the activity with well-prepared peer assessment criteria and familiarise students with the way to do online peer assessment. 3. Technical issues and platforms used to conduct online peer assessment should be accounted for as an effective implementation of peer assessment. 4. Students' attitudes towards the application of peer assessment to develop writing skills may vary due to various factors like the organisation of the activity. 5. Whether peer assessment can develop students' soft skills like critical thinking and team work depends much on practitioners' ways of implementing the activity. © 2023, University of Wollongong. All rights reserved.
ABSTRACT
Four waves of the Covid-19 epidemic have drastically affected consumer behaviors in Vietnam, particularly during the period of social distancing in the second half of 2021. This study was done to investigate changes in household food acquisition and consumption patterns in Ho Chi Minh City. During the most severe wave of Covid-19 in Vietnam, an online poll was used to collect data from 130 customers in Ho Chi Minh City. Before Covid-19 (before January 2021), food was primarily purchased from traditional markets and other direct methods. After Covid-19 occurred (since January 2021), changes in food acquisition methods were found as 52% of respondents went to the grocery stores, traditional markets, and supermarkets less often. Moreover, consumers have changed their online shopping behaviors as 48% bought more food online compared to pre-Covid-19 periods. Since Covid-19, surveyed households consumed less food, specifically fresh produce (44.6%), fast food (60.8%), canned food (37.7%), prepped meals (60.8%), grains (43.1%), and snacks (43.8%). In opposition, more frozen foods (46%) and more meat (47%) were consumed since the pandemic. From the estimated ordinal probit regression, the study found that the determinants that most explain changes in food consumption are age, household size, education, income, affected income, workplace status, and the afraid of food shortage.
ABSTRACT
One-stage object detection methods have proven their advantage in terms of both speed and accuracy for addressing vision tasks in real-time scenarios, including Recyclable Waste detection, which has become a prevalent topic during the COVID-19 pandemic. Previous research into this subject has faced many obstacles, mainly due to the requirement of detecting highly deformable and often translucent objects in cluttered scenes without the context information usually present in human-centric datasets. In this paper, we aim to explore the performance of state-of-the-art one-stage object detectors on ZeroWaste dataset, the first in-the-wild industrial-grade waste detection benchmark. Our experiments showed that recent one-stage detectors, namely the YOLO-based detectors, can obtain very competitive results on the benchmark. YOLOv7, thanks to its many improvements, is the current best performer at 33.2% mAP on the ZeroWaste benchmark, to the best of our knowledge. Implementation details are available at our GitHub repository. © 2022 IEEE.
ABSTRACT
Question answering over knowledge bases (KBQA) has become a popular approach to help users extract information from knowledge bases. Although several systems exist, choosing one suitable for a particular application scenario is difficult. In this article, we provide a comparative study of six representative KBQA systems on eight benchmark datasets. In that, we study various question types, properties, languages, and domains to provide insights on where existing systems struggle. On top of that, we propose an advanced mapping algorithm to aid existing models in achieving superior results. Moreover, we also develop a multilingual corpus COVID-KGQA, which encourages COVID-19 research and multilingualism for the diversity of future AI. Finally, we discuss the key findings and their implications as well as performance guidelines and some future improvements. Our source code is available at https://github.com/tamlhp/kbqa.
ABSTRACT
Ho Chi Minh City, particularly Vietnamese cities in general, is so busy and crowded since tremendous numbers of motorbikes move on roads. Ho Chi Minh City leaders have encountered several challenges in fully understanding and effectively dealing with problems of urban traffic for the past few decades. Software-based solutions are proper and dramatically necessary, currently. This paper presents the deployment of an AI-based application at the Ho Chi Minh City Department of Transportation. The paper mainly concentrates on traffic counting problems during the outbreak of the Covid-19 pandemic from June 2021. The performance of the AI-based application was compared with medical declaration data and achieved an accuracy of 93.80%. © 2022 IEEE.
ABSTRACT
We model the COVID-19 spreading by running SIR Monte-Carlo simulations in four real face-to-face contact networks. We evaluate the effectiveness of the 'facemask use' and 'vaccination policies' to curb epidemic spreading. We model the facemask use policy by assuming a lower individual infection probability β. We found that while this strategy can delay the disease spreading, it does not significantly reduce the total number of infected individuals (TI), as 80% of the total population still is infected at the end of the epidemic. We model vaccination by setting individual's infection probability β=0, which is equivalent to remove nodes/individuals from the network. The vaccination was found to be very effective. Even with a partial vaccination of 30% of the population nodes selected considering their centrality measure ranking, such as degree, betweenness, or PageRank, it was possible to reduce the TI of 14%. Finally, yet importantly, random partial vaccination is not effective at all, meaning that most of the unvaccinated population will be infected. © 2022 IEEE.
ABSTRACT
Soap is an indispensable product in households, schools, offices, and hospitals in the prevention of diseases such as Covid-19 and respiratory diseases. Vietnam is a country with plentiful coconuts, and the mass production of soap products from coconut oil is feasible and highly competitive. Therefore, science, technology, engineering, and mathematics (STEM) teaching on the topic of making soap from coconut oil is practically meaningful. As a result, not only are students educated on the importance of soap but also develop their STEM knowledge. They also become engaged in their learning and try hard to perfect their products in the fastest and best way possible. Among the teaching methods of making soap from coconut oil, the 5E (engagement, exploration, explanation, elaboration, and evaluation) cycle model is the most appropriate. This teaching model helps students thoroughly explore the knowledge and to work harmoniously in groups. The study aimed to investigate how 9th Grade students at Vo Van Tan Secondary School, Ho Chi Minh City made soap from coconut oil. These students were members of 9A2 and 9A7. After learning how to make soap from coconut oil, students can make similar products, such as dishwashing detergent, from fruit or vegetable peels. This model thus helps students to be creative in STEM disciplines through problem analysis and exploration. We found that the students were very interested in making natural products such as soap and, in addition to STEM and 5E learning, they addressed an important real-world challenge with their own safe and simple handmade soap for hand-washing, disinfecting, and pandemic prevention. © 2023 International Conference on Multidisciplinary Research. All rights reserved.