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Digital transformation is a keyword that has not only been mentioned in recent years but is also strongly applied by companies. However, the benefits of digital transformation for companies are still an issue that needs to be researched. Therefore, this study is conducted to determine the dynamics of digital transformation on banking business results. The research was conducted with joint stock commercial banks in Vietnam listed on the stock exchange. Based on text analysis on annual reports to measure banks' digital transformation level from 2015 to 2021. Research results have shown that digital transformation has a negative impact on bank's performance (through the return on assets and return on equity). Furthermore, the study also found that there was a paradoxical situation where COVID-19 increased the profits of banks. This result provides exciting discussions related to digital transformation and bank performance.
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Purpose- Brand personality plays an important role in the development of tourists' self-image congruence and revisit intention. This paper attempts to shed light on the relationship between brand personality and self-image congruence and revisit intention through a quantitative analysis.Design - Data were collected from 496 Vietnamese tourists who visited the top five tourist sites in Vietnam, including Ha Long, Phu Quoc, Sapa, Nha Trang, and Hoi An. Methodology - By using SEM in AMOS version 24 CFA was performed to test the the overall measurement model.Findings - Multivariate data analysis demonstrated that five dimensions of brand personality. (Excitement, Sincerity, Sophistication, Competence, and Ruggedness) have a positive effect on self-image congruence and revisit intention. While excitement appears to be most helpful for developing self-image congruence, sincerity has the highest benefit for increasing revisit intention, sincerity has the highest utility for increasing revisit intention. In addition, revisit intention is most influenced by excitement and least influenced by sophistication through self-image congruence. Originality of the research - The findings highlight the important role of attributes associated with tourist destinations. Managers in the tourism sector should be familiar with these characteristics in order to position or strengthen their destination's brand with the aim of delivering to each tourist group a customized experience that resonate with their shared values. The insights provided by this paper also have important implications for travel companies in the gradual recovery of the country's smoke-free industry under the conditions of the COVID-19 pandemic.
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Emerging markets are increasingly facing significant challenges, from a slowdown in productivity, rising debt, and trade tensions to the adverse effects of proliferating global uncertainty on domestic financial systems. This incisive Handbook examines the ongoing dynamics of global financial markets and institutions within the context of such rising uncertainty and provides a comprehensive overview of innovative models in banking and finance. Chapters investigate the implications of the COVID-19 pandemic on health and economic activities, as well as other global factors such as geopolitical shifts, digital transformation, and climate change. This expansive range of perspectives demonstrates how emerging market policymakers have been forced to rethink their banking and financial industries to spur sustainable and inclusive growth. Global in scope, the Handbook features contributions from more than 70 experts, offering key insights into new developments in banking and finance, and considering how emerging markets might overcome the pandemic, shape the new normal, and foster economic sustainability. This ambitious Handbook will be an essential read for regulators and policy analysts who will benefit from its innovative perspectives on advancing governance of banking and finance sectors in emerging markets. Its exploration of forthcoming directions for research will be of special interest to academics and research scholars in related fields. © Duc Khuong Nguyen 2022. All rights reserved.
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The COVID-19 pandemic has posed myriad brain-wracking questions to decision-makers at all levels. Viet Nam managed to curb mortality and morbidity to praiseworthy levels in the past COVID-19 waves, however, has now had its back against the wall amidst the recent exponential infection cases and draining medical resources. For swiftly flattening the curve, the legislature authorized the Government to take bolder steps where needed, even different from the laws. This article argues that while the empowerment comes from the goodwill of the legislature for the purpose of containing the raging outbreak, there remain procedural irregularities. This should garner more attention from the state authority to ensure the rule of law and legality of all state actions during the time of public health emergency. © 2021 The Author(s).
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Geopolitics is shaping the international education landscape. International education has trationally been used as a tool to boost transnational cooperation, foster multilateral and global ties, and reduce tensions between nations. Such a role has been eroded and international education has been weaponised in the context of escalating political turbulences and disputes over the COVID-19 pandemic. In particular, the relationship between Australia and China, with international student flows interrupted due to COVID-19, is overshadowed by escalating geopolitical tensions in the Indo-Pacific region. Based on a qualitative study, this article examines stakeholders' views on the responses of the Australian international education sector and universities to emerging geopolitical tensions. The conjuncture of geopolitics, COVID-19 and Australia's former government responses magnified a sense of crisis for universities and the international education sector as it was at risk because of their financial reliance on international students. Based on the findings, recommendations are made for the framing of a reciprocal, coordinated, responsive and empathetic international education sector to mitigate geopolitical risks and ensure more sustainable and ethical development for the sector.
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In a world with enormous opportunities and challenges from the 4.0 revolution and the lingering COVID-19 pandemic, customer retention is more important than ever for retailers. While marketing and advertising can be more or less limited during the pandemic, retailers pay more attention to the supply and service operations of products as salvage to satisfy the essential demands of customers. However, few scholars discuss the effects of service operations on customer retention in retail because it is lower consumer awareness and challenging to measure accurately and adequately. Therefore, with the foundation of commitment-trust theory, this study examines service operations' direct and indirect effects on customer retention through perceived benefit in omnichannel retailers. Simultaneously, it assesses how psychological ownership affects customer retention and moderates the effect of perceived benefit on customer retention in the Vietnamese supermarket as empirical evidence. The combination of a qualitative method (with 32 in-depth interviews) and a quantitative method (through a survey conducted with 374 shoppers) is implemented. Partial least-squares structural equation modelling with SmartPLS software is utilized for data analysis and hypothesis testing. From the findings, the study offers an operations perspective and a customer view of how to store service operations contribute to customer perception of benefits and customer retention. Interestingly, the study discovered that psychological ownership is not only a critical antecedent of customer retention but also enhances the effect of perceived benefit on customer retention as its moderating role. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
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This study analyses the dimensions of self-service technology that affect intentions of using e-wallets on mobile platforms. Our study is unique because the Covid-19 pandemic alters consumer intentions to use the E-wallet. We collect data from 307 Vietnamese users through online questionnaires and focus group interviews. We analyze the data sample by applying the Theory of Technology Acceptance and a part of Behavior Intention. Our findings indicate that Perceived Usefulness, Perceived Ease of Use, Trust, Risk, and Personal Innovativeness in Information Technology increase the intention to use E-wallet services in Vietnam. Our findings extend the literature related to essential characteristics of mobile wallets that support the marketing of mobile wallet products. Our study also recommends increasing the attractiveness of using electronic payment via mobile wallets. © 2023, SRAC - Romanian Society for Quality. All rights reserved.
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INTRODUCTION: The COVID-19 pandemic has presented patients with barriers to receiving healthcare. We sought to determine whether changes in healthcare access and practice during the COVID-19 pandemic has affected perioperative outcomes after robotic-assisted pulmonary lobectomy (RAPL). METHOD(S): We retrospectively analyzed 721 consecutive patients who underwent RAPL between September 2010 and March 2022 by one surgeon at one institution. With March 1st, 2020, defining the start of the COVID-19 pandemic, we grouped 638 patients as PreCOVID-19 and 83 patients as COVID-19-Era based on surgical date. An optimal variable ratio matching method of one to four PreCOVID-19 patients (with average of three) were matched to each COVID-19-Era patient. Variables used for matching were age, gender, smoking history in pack-years, and preoperative diabetes mellitus, coronary artery disease or myocardial infarction, and FEV1%. Variables of interest were compared utilizing Student's t-test, Wilcoxon rank-sum test, and Chi-square (or Fisher's exact) test, with significance at p<=0.05. Multivariable generalized linear regression was used to investigate predictors of the presence of postoperative complications and report odds ratios (OR). RESULT(S): COVID-19-Era patients had higher incidences of preoperative atrial fibrillation (p=0.027), peripheral vascular disease (p=0.0425), and pancreatitis (p=0.0349) compared to PreCOVID-19 patients. Differences in tumor size and histology, nodal status, and AJCC v8 pathologic stage were statistically insignificant. COVID-19-Era patients experienced a high incidence of effusion or empyema postoperatively (p< 0.0001). The PreCOVID-19 and COVID-19-Era cohorts had comparable odds for developing a postoperative complication. Older age, longer intraoperative skin-to-skin duration, and preoperative COPD are all predictive of an increased risk of developing a postoperative complication (Table 1). CONCLUSION(S): Despite our COVID-19-Era patients having greater indices of preoperative comorbidities, our analysis showed that they had a similar risk of developing a postoperative complication when compared to our PreCOVID-19 patients. Risk factors for development of postoperative effusion should be determined to minimize risk of empyema in COVID-19-Era patients. Patient age, skin-to-skin duration of the procedure, and preoperative COPD should be considered when planning for complication risk following RAPL.
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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)
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We employ alpha-stable distribution to dynamically compute risk exposure measures for the five most traded cryptocurrencies. Returns are jointly modeled with an ARMA-GARCH approach for their conditional mean and variance processes with alpha-stable innovations. We use the MLE method to estimate the parameters of this distribution, along with those of conditional mean and variance. Our results show that the dynamic approach is superior to the static method. We also find out that these risk measures of five cryptocurrencies do not offer the same pattern of behavior across subperiods (i.e., pre-, during- and post-COVID pandemic). © 2023 Elsevier Inc.
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The recent outbreak of COVID-19 has had colossal repercussions for all economic agents including households, corporations, and governments worldwide. Each economic agent responded in their own way to mitigate or at least diminish the scale of that impact. Small and medium-sized enterprises (SMEs) also countered the COVID-19 pandemic to their highest capacity despite being more vulnerable to crises. Many SMEs experienced shutdowns or declared bankruptcy due to the ineptitude and lack of financial resources or effective strategic response to cope with this unprecedented shock. In this paper, we assess the impact of the COVID-19 pandemic coping strategies such as adjusting the process and product, shifting business activity online, and remote working arrangements on SMEs' access to finance. Using the World Bank's COVID-19 impact survey data collected between 2020 and mid-2021 from 42 countries, we find that better strategies adopted by SMEs increase their likelihood of getting new credit from government and commercial banks. The results remain robust to alternative test settings. Our findings offer significant and timely contributions to SMEs' access to finance and to the practicing managers on adopting and adjusting strategies in response to crises or disruptions. © 2023 Informa UK Limited, trading as Taylor & Francis Group.
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Air pollution and infectious diseases (such as the COVID-19 pandemic) have attracted considerable attention from governments and scientists worldwide to find the best solutions to address these issues. In this study, a new simultaneous antibacterial and particulate matter (PM) filtering Ag/graphene-integrated non-woven polypropylene textile was fabricated by simply immersing the textile into a Ag/graphene-containing solution. The Ag/graphene nanocomposite was prepared by reducing Ag ions on the surface of graphene nanoplatelets (GNPs) using the leaf extract. The prepared Ag/graphene textile was characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), Energy Dispersive X-ray (EDX), and contact angle measurements. The results showed excellent integration of the Ag/GNP nanocomposite into the non-woven polypropylene textile matrix. The prepared textile exhibited superhydrophobicity with a contact angle of 152°. The maximum PM removal percentage of the Ag/GNP-integrated textile was determined to be 98.5% at an Ag/GNP content of 1.5% w/w and a silicon adhesive of 1% w/w. The Ag/GNP textile exhibited high antibacterial activity toward Escherichia coli with no sign of bacteria on the surface. Remarkably, the as-prepared Ag/GNP textile was highly durable and stable and could be reused many times after washing.
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Using tick data for 14 emerging and developed market currencies covering the period from January 2018 until April 2021, we first detect jumps by Lee and Mykland methodology then apply various machine learning algorithms to forecast out of sample jump occurrences and their direction. Our results show that the arrival and the direction of intraday jumps in the foreign exchange market can be predicted with these algorithms combined with liquidity metrics and technical indicators, even for the Covid pandemic period where volatility in the foreign exchange market is very high. Among all the methods considered, multilayer perceptron has the highest average accuracy for jump prediction overall, followed by support vector machine and random forest methodologies with slightly less average accuracy results. Results are robust to alternative sampling schemes. Accordingly, central bankers can adjust liquidity injection timing with these jump prediction models in the foreign exchange markets where they can try to minimize jump strength if not completely eliminate its occurrence. For investors, having information regarding jump occurrence timings gives an opportunity to hedge against foreign exchange risks more efficiently. © 2023 John Wiley & Sons Ltd.
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This paper examines the impact of various corporate governance characteristics on the disclosure of corporate social responsibility (CSR) information in the context of developing markets during the COVID-19 pandemic. We used data from the annual reports of the top 100 companies listed on the Ho Chi Minh Stock Exchange from 2019 to 2021 to investigate the relationship between board independence, board size, CEO duality, foreign ownership, government ownership, and the disclosure level of CSR reporting. We employed a content analysis to measure CSR disclosure level by using the CSR reporting index (CSRRI) with 17 items. The panel regressions including three techniques like the pooled-ordinary least squares (OLS), fixed effects model (FEM), and random effects model (REM), were used to analyze the data, and FEM) shows its best fit to the model. The results suggest that board independence and government ownership correlate positively and significantly with companies' decisions to disclose CSR information. In contrast, board size, CEO duality, foreign ownership and was found to be insignificant. Our study extends the literature on CSR particularly in developing countries where governments play a significant role in promoting economic development. It also evaluates the CSR disclosure level of the top listed companies in Vietnam. Since then, the paper's results provide several insights to the policymakers to identify the corporate governance characteristics that will promote CSR reporting in Vietnam's listed companies.
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Purpose: The outbreak of the COVID-19 pandemic has led to the pervasiveness of food delivery apps (FDAs) and the increased scholars' attention for the topic of FDA continuance usage intention. However, the limited understanding about possible segments of FDA users has hindered food retailers from providing FDAs with a personalized manner, which impairs the effectiveness of marketing strategies. Thus, this study aims to first explore key antecedents of users' continuance intention toward FDAs and then segment and profile Taiwanese users based on the identified antecedents of FDA continuance intention and demographics. Design/methodology/approach: An online survey was implemented to collect responses from FDA users in Taiwan. With a response rate of 82.4%, the final sample of 326 respondents (average age = 28.3;female = 54.9%) was analyzed by using two techniques of structural equation modeling (SEM) and cluster analysis. Findings: The results indicate six antecedents of users' continuance usage intention towards FDAs, including information quality, system quality, information quality, perceived usefulness, perceived enjoyment and satisfaction. Additionally, three distinct clusters of FDA users are successfully identified, labeled as "value sensitive users”, "time-sensitive users” and "security sensitive users”. Originality/value: This study is one of the pioneers that explores the possible segments in FDA market, which helps FDA providers and food retailers develop more focused and appropriate strategies to encourage users to continue using FDAs. Our findings contribute to building an optimized version of "FDA Tech” that becomes an omni-channel solution to serve the increased home-delivery needs in the new normal era. © 2023, Emerald Publishing Limited.
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Offsite construction (OSC) in Southeast Asia is facing many challenges due to the COVID-19 pandemic. Despite its importance, there is scant research on this topic in the region. This study aims to review OSC and identify determinants of success and their correlation with success after the pandemic in the Southeast Asian region. This paper follows a sequential exploratory mixed methodology: (1) reviewing statistical data relevant to construction in four countries, (2) carrying out a configurative literature review and documentary research, (3) eliciting responses from in-depth interviews consisting of two phases, (4) collecting written consultancies, and (5) capturing experts' opinions in four countries through a questionnaire survey. The study uses three statistical techniques to determine the correlations between factors: ordinal logistic regression with factors input, a generalized linear model with ordinal logistic response and covariates, and Spearman's correlations. Based on 55 variables and 459 responses from 4 countries, the statistical calculations identify the 42 most significant pairs of relationships between determinants and success, from which the follow-up priorities involve economic differentiation, productivity in the factory setting, reducing uncertainty over the program, and minimizing disturbances in the vicinity of the site under post-COVID-19 controls. This empirical research generates three outcomes: (1) filling the gap of OSC review in the region, (2) offering topical solutions for the construction industry after COVID-19, and (3) helping four countries derive economic benefits from OSC.
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For humans, the COVID-19 pandemic and Coronavirus have undeniably been a nightmare. Although there are effective vaccines, specific drugs are still urgent. Normally, to identify potential drugs, one needs to design and then test interactions between the drug and the virus in an in silico manner for determining candidates. This Drug-Target Interaction (DTI) process, can be done by molecular docking, which is too complicated and time-consuming for manual works. Therefore, it opens room for applying Artificial Intelligence (AI) techniques. In particular, Graph Neural Network (GNN) attracts recent attention since its high suitability for the nature of drug compounds and virus proteins. However, to introduce such a representation well-reflecting biological structures of biological compounds is not a trivial task. Moreover, since available datasets of Coronavirus are still not highly popular, the recently developed GNNs have been suffering from overfitting on them. We then address those issues by proposing a novel model known as Atom-enhanced Graph Neural Network with Multi-hop Gating Mechanism. On one hand, our model can learn more precise features of compounds and proteins. On the other hand, we introduce a new gating mechanism to create better atom representation from non-neighbor information. Once applying transfer learning from very large databanks, our model enjoys promising performance, especially when experimenting with Coronavirus. © 2022 IEEE.