ABSTRACT
If the market is efficient, with stock prices accurately reflecting the true risk of an investment, then the issue becomes simpler. While this is true, investors may have a window of opportunity to discover a successful investing strategy if the market is inefficient. The primary goal of this research is to use the Support Vector Machine (SVM) algorithm to predict daily cycles of price increases for the ten largest-cap companies trading on the Hanoi Stock Exchange (HNX) over the Covid-19 timeframe (January 1st, 2019, to December 1st, 2022). Study how the model performs when trained and tested with a moving window. The outcome was an impressive average accuracy of 81.68 percent for the predicting model. © 2023 IEEE.
ABSTRACT
COVID-19 has caused a global disaster never seen before. One of the worst damaged industries has been tourism. To propose a solution for these sites, the available literature, and advice on recovering tourism after the COVID-19 crisis were examined and arranged in an integrated smart tourism destination framework. This paper aims to develop new forms of tourism, especially smart tourism in Vietnam, where the information technology industry is flourishing. This main content was based on case studies about smart tourism in Korea and Taiwan. Besides the traditional forms of tourism, smart tourism will develop in Vietnam in the future. The result showed that modern technology had become an essential method in improving tourists' satisfaction and efficiency in transactions related to travel. Furthermore, it will have contributed to changing the face of tourism in many countries worldwide. © 2023, SRAC - Romanian Society for Quality. All rights reserved.
ABSTRACT
In the Covid-19 pandemic, many students must study at home utilizing an E-learning system because of social alienation. The goal of this study is to analyze students' continued motivation to use the E-learning system during the Covid-19 pandemic using the Technology Acceptance Model (TAM) and the Theory of Task-Technology Fit (TTF). Both qualitative and quantitative methodologies were employed in this work. The qualitative approach's goal is to confirm and adopt the scale. In contrast, a quantitative study seeks to determine if students in the Covid-19 pandemic have a strong desire to use the E-learning system students will continue to utilize E-learning in the future, according to the research. They will continue to adopt E-learning due to its social influence, usefulness, and ease of use. Based on the findings, the research suggested numerous suggestions to enhance and promote E-learning for Vietnamese universities to further the development of Vietnamese education. © 2022 IEEE.
ABSTRACT
This study aimed to forecast the exchange rate between the Vietnamese dong and the US dollar for the following month in the context of the COVID-19 pandemic. It used the Support Vector Regression (SVR) algorithm under the Uncovered Interest Rate Parity (UIRP) theoretical framework;the results are compared with the Ordinary Least Square (OLS) regression model and the Random Walk (RW) model under the rolling window method. The data included the VND/USD exchange rate, the bank interest rate for the 1-month term, and the 1-month T-bill from January 01, 2020, to September 11, 2021. The research discovered a linear link between the two nations' exchange rates and interest rate differentials. Interest rate differentials are input variables to forecast interest rate differentials. Furthermore, the connection between the exchange rate and interest rate differentials during this era does not support the UIRP hypothesis;hence, the error for OLS predictions remains large. The study provided a model to forecast future exchange rates by combining the UIRP theoretical framework and the SVR algorithm. The UIRP theoretical framework can anticipate exchange rate differentials using the input variable and the interest rates between two nations. Meanwhile, the SVR algorithm is a robust machine learning technique that enhances prediction accuracy. © 2022 by the authors. Licensee ESJ, Italy.
ABSTRACT
The Covid-19 pandemic has profoundly affected all life activities, including training activities at higher education institutions. However, teaching and learning activities can continue through Online Video Conferencing tools as Google Meet, Zoom, Microsoft Team. This study explores the effect of the Perceived severity of the Covid-19 pandemic as an antecedent of the Technology Acceptance Model. The study surveyed 361 lecturers at higher education institutions in Vietnam. The research results confirmed the results of the Technology Acceptance Model as using Online Video Conferencing tools and discovered the positive influence of Perceived severity of Covid-19 pandemic on perceived usefulness and ease of use. Thereby, the study proposed some administrative implications to improve the efficiency of using Online Video Conferencing tools.
ABSTRACT
The Covid-19 pandemic was first discovered in 2019 and was resistant to all available cures despite all efforts. Vietnam, as well as other nations, suffers significant economic harm due to its presence. Businesses in Vietnam, particularly small and medium-sized businesses (SMEs), must plan for this scenario. It has been shown that E-marketing is a successful technique for finding and communicating with consumers worldwide. The disease has been aided by lockdowns and social isolation in the Covid-19 pandemic. This study seeks to discover the impact of several variables on small business owners' plans to utilize e-marketing in Vietnam as part of the Covid-19 pandemic. The study used both qualitative and quantitative research techniques. The qualitative approach is used to confirm and modify a scale, whereas quantitative research is used to help establish a range. The results show that 04 variables impact e-marketing intention, including (1) Compatibility, (2) attitudes towards the use of E-marketing, (3) perceived usefulness, and (4) perceived barriers to use, (5) subjective norms, where perceived usefulness is the most critical influence. The research has put forward many proposals to enhance the desire of businesses to utilize E-Marketing. © 2021 IEEE.
ABSTRACT
The COVID-19 pandemic has accelerated the speed of digital transformation. These new developments will either remain the same or evolve as individuals realize that digital may help them handle various problems today and in the future. Businesses realize that utilizing an online project management service (OPMS) may help them save money and make project management more accessible;as a result, demand for this service is increasing. To better assess OPMS adoption intentions, this research combined the Technology Acceptance Model (TAM) with Task-Technology Fit theory (TTF). An online poll was performed to gather quantitative data from 247 businesses that utilize OPMS for their business processes. This study affirmed the TAM in OPMS, as all connections between perceived ease of use, perceived usefulness, attitude toward OPMS, and OPMS adoption intention are supported. Furthermore, the task-technology fit of OPMS has a significant effect on perceived usefulness and ease of use. © 2021 IEEE.
ABSTRACT
The growth of the organic product market is consistent with a worldwide trend of rising demand, owing primarily to improved living quality. However, in the Coronavirus (Covid-19) pandemic, the social distancing strategy has influenced consumers' desire to purchase organic food through electronic commerce platforms. This study aimed to assess the impact of health concern, environmental concern, perceived price, perceived quality, and knowledge related to organic food on organic food online shopping intention;and evaluated the moderating role of perceived social distancing policy on the aforementioned relationships. In the quantitative research method, this study surveyed 637 Vietnamese consumers. Based on a mix of Theory of Planned Behavior and Social Norms Theory, research results showed that all independent variables had positive effects on the dependent variable;furthermore, perceived social distancing policy moderates the relationship between perceived price (+), health concern (-), perceived quality (-), and knowledge related to organic food (-) and organic foods online shopping intention. This study had ramifications for organic food companies to create strategies in the Covid-19 pandemic with a social distance policy from the State. © 2021 IEEE.
ABSTRACT
Consumer habits and behaviours have been altered due to the Covid-19 outbreak and the emergence of new trends, ranging from proactively purchasing safe and nutritious goods to keeping necessary foods at home. This study aimed to evaluate the influence of factors that belonged to consumer perception of the organic agricultural products continuous purchase intention from the e-marketplace. The mixed research method was adopted through in-depth interviews and surveys. These research results pointed out the critical positive factors impacting the organic agricultural products continuous purchase intention from e-marketplace, including organic agricultural products knowledge, perceived price, perceived environmental protection, perceived health benefits, perceived quality, perceived policy in the Covid-19 pandemic. Some implications were proposed from the research results. © 2021 IEEE
ABSTRACT
COVID-19 pandemic has disrupted educational activities;hence, online training combined with Learning Management System (LMS) is a great idea to ensure the continuity of training activities. This study combined Theory Planned Behavior (TPB) and Task-Technology Fit theory (TTF). The objective of this study was to explore the factors influencing the Students' LMS adoption intention in COVID-19. The study surveyed 876 students who accessed LMS in learning activities at higher education institutions in Vietnam. Research results pointed out that LMS fit learning on COVID-19, attitude towards LMS adoption, and student characteristics related to LMS positively impact LMS adoption intention in COVID-19. Some managerial implications are also suggested to enhance students' LMS adoption intention. © 2021 IEEE.
ABSTRACT
E-commerce has brought many benefits to businesses and customers. However, the online market’s fierce competition is also pressure for businesses, especially when the electronic marketplace (e-marketplace) is launched. The competition takes place in e-marketplace not only between brands but also between foreign and domestic businesses. This study is aimed to explore the effects of trust, customer ethnocentrism, service quality, and perceived risk on customer loyalty. The mixed-method research was applied to archive the research objective. Based on the machine learning computation, which became more popular and gained significant traction in the research world, the result showed that trust, ethnocentrism, and service quality positively impacted customer loyalty;perceived risk negatively affected customer loyalty toward domestic products on the e-marketplace in the Covid-19 pandemic. Some managerial implications were also proposed based on the research result. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
ABSTRACT
The Covid-19 pandemic has dramatically affected the tourism industry's development;however, the demand for traveling increases in the young people, significantly, the Generation Z, who was born in 1996. A bright outlook awaits the tourism industry in the post-Covid-19 period. The study aims to determine the relationship between the economic perspective, social perspective, user-generated content trust, and inbound travel intention of Generation Z travelers. The mixed-method research was done to archive the research objectives. The research results pointed out that there were positive impacts of economic and social perspectives on user-generated content trust;moreover, user-generated content trust positively affected the inbound travel intention. Some managerial implications were proposed for the tourism business managers to increase their business performance.
ABSTRACT
Online learning is a useful method to help learners gain knowledge quickly and conveniently, regardless of space and time. As the Covid-19 pandemic is spreading and showing no signs of stopping, online learning has played an even more important role, especially when governments’ social isolation order is fully applied. Massive Open Online Courses (MOOCs), which are more and more popular worldwide, bring many benefits to the learner for improving skills and knowledge. The Uses & Gratification Theory (U&G theory) is one theory that can discover the relationship between user-centric motivation and user attitude when they use the media. Based on the Uses & Gratification theory, this study aimed to analyze the relationship between the learner’s motivation and attitude when taking part in an online course. The quantitative research model was applied through a survey of 316 respondents. The result pointed out that motivational factors affect Perceived Enjoyment in online courses on the website, including Convenience, Entertainment, Socialising, and Experience Sharing. Some managerial implications were proposed. © 2020 IEEE.