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This paper aims to investigate the impact of the coronavirus disease (COVID-19) pandemic on university students during the Movement Control Order (MCO) and Recovery Movement Control Order (RMCO). MCO was introduced in March 2020, and the learning process switched from face-to-face to online learning in schools and universities. Subsequently, with the reduced number of daily cases and active cases of COVID-19, the Malaysian Government implemented RMCO from 10th June to 31st December 2020, which had more relaxation of restrictions. This study particularly focuses on students studying in higher education institutions by analysing the impacts of the community of inquiry on students learning performance. The construct of the community of inquiry includes social presence, cognitive presence and teaching presence.

This paper provides quantitative analysis, independent sample t-tests and multiple linear regression on the students’ learning performance using the framework of community of inquiry. This paper presents the analysis of the online learning preference of 282 university students during MCO and 456 students during RMCO.

The results showed that there is a significant difference in students learning process during MCO and RMCO. The findings also indicated that the social presence is the most important factor in affecting learning performance during the MCO period and it changed to teaching presence during RMCO. Students lost motivation and could not perform well using online learning methods during the MCO period but the situation improved during RMCO.

This research helps to identify the impact of the pandemic on higher education and provides insights into reshaping the future of higher education system.

Students are isolated from their peers in the learning process and struggle to adapt to the new normal in online learning. The teaching faculties are picking up new skills to deliver online courses and manage the risk as best as they can. This study presented the impact of the pandemic on students learning performance and explored the space for universities as business organizations to provide better infrastructures and platforms for online learning while battling with cash flow and debt level during this challenging time.

Students need peer support and guidance from the faculty team in their learning journey. The study provides a better understanding of how we shall promote a better higher education environment, either blended or online learning.

To the best of the author’s knowledge, this is the first study to examine the impact of the community of inquiry on students learning performance during the COVID-19 pandemic. Students suffered during the MCO period and the learning experience got better when they were able to adapt to the changes. The higher education system needs a reform and the agency theory in corporate governance plays an important role in the transformation.

The paper examines the ‘Intention to Receive the COVID-19 Vaccines’ or IRV from three perspectives: the health belief model, behavioural economics, and institutional quality.

This study provides quantitative analysis by applying Chi-squared test of contingencies, paired sample t-tests, exploratory factor analysis, and multiple linear regression (stepwise method) on the data collected from 591 respondents mainly from Malaysia.

The results show that Perceived Benefits, Perceived Barriers, Perceived Susceptibility, Herding, and Institutional Quality play roles as predictors of IRV. Perceived Benefits play the most crucial role among the predictors and Perceived Barriers is the least important predictor. People have the herding mentality after being exposed to information encouraging such behaviour.

This study reveals that the respondents changed their behaviour in different circumstances when exposed to information that incorporates the effect of herding. Herding mentality, the effectiveness of government authorities, and regulatory quality have become important factors in enriching public health policies and the effectiveness of interventions.

Housing choice is always a complicated decision with its dual functions as a roof over the head and as an investment good. This paper aims to investigate the boundedly rational behaviours that affect the housing choice three bounded behaviours play roles in explaining the decision-making behaviour of homebuyers when they acquire/sell a property. These behaviours are endowment effect, loss aversion and herding, which have implications on the decision-making process.

The research is based on cross-sectional questionnaires and collected from 587 respondents. Factor analysis and reliability tests were used to identify the latent construct of bounded rational housing choice behaviour. In the meantime, the study used one-way analysis of variance (ANOVA) to examine whether there are any differences in the housing choice based on the respondents’ demographic backgrounds.

The findings indicated that a total of 11 items were reduced to three factors that accounted for the decision-making in housing choice. There are significant differences in herding behaviour amongst respondents with different level of education and their purpose of looking for a house.

This paper helps to identify latent constructs that shed light on the housing choice, especially on the bounded rational behaviour.

This is one of the few studies to explore boundedly rational behaviours in housing choice from the angle of homebuyers. Previous studies addressed housing choice in terms of price, demand and supply in general but not on individual homebuyers. The results will be useful to developers, policymakers, homebuyers as well as scholars in understanding the decision-making process in housing choice.

This research intends to investigate the determinants that affect consumers’ purchase intention of electric vehicles (EVs) in Malaysia using an extended theory of planned behaviour (TPB).

Survey data were collected with a sample size of 306. The research used SmartPLS 4.0 structural equation modelling tool to analyse the data. Reliability and validity tests (discriminant and convergent validity) were used and subsequently assessed the measurement and structural models. Mediation analysis was conducted to identify the role of the latent constructs.

The findings indicated that a green purchase attitude plays a complete mediation role in the effect of environmental knowledge on the purchase intention of EVs. In the same notion, the effect of price perception and availability of charging facilities on the purchase intention of EVs passes completely through perceived behavioural control. However, the subjective norm was an insignificant mediator of the impact between government support and EV purchase intention.

This paper helps to examine the latent constructs that impact purchase intention using environmental knowledge, government support, price perception and the availability of charging facilities. Successful green marketing and a sustainable consumerism framework are seen as a booster to promote the usage of EVs in Malaysia.

An extended TPB model has been employed in this research to study the effects of the above-mentioned constructs. The results show that most of the extended constructs are significant in explaining the purchase intention. The empirical results address the gap in the consumer green attitude and provide insight into this area of study.

The purpose of this paper is to develop an index for measuring urban house price affordability that integrates spatial considerations and to explore the drivers of housing affordability using the post-least absolute shrinkage and selection operator (LASSO) approach and the ordinary least squares method of regression analysis.

The study is based on time-series data collected from 2005 to 2021 for 256 prefectural-level city districts in China. The new urban spatial house-to-price ratio introduced in this study adds the consideration of commuting costs due to spatial endowment compared to the traditional house-to-price ratio. And compared with the use of ordinary economic modelling methods, this study adopts the post-LASSO variable selection approach combined with the k-fold cross-test model to identify the most important drivers of housing affordability, thus better solving the problems of multicollinearity and overfitting.

Urban macroeconomics environment and government regulations have varying degrees of influence on housing affordability in cities. Among them, gross domestic product is the most important influence.

The paper provides important implications for policymakers, real estate professionals and researchers. For example, policymakers will be able to design policies that target the most influential factors of housing affordability in their region.

This study introduces a new urban spatial house price-to-income ratio, and it examines how macroeconomic indicators, government regulation, real estate market supply and urban infrastructure level have a significant impact on housing affordability. The problem of having too many variables in the decision-making process is minimized through the post-LASSO methodology, which varies the parameters of the model to allow for the ranking of the importance of the variables. As a result, this approach allows policymakers and stakeholders in the real estate market more flexibility in determining policy interventions. In addition, through the k-fold cross-validation methodology, the study ensures a high degree of accuracy and credibility when using drivers to predict housing affordability.

The critical success factor of enterprises is the ability to identify risks and subsequently adapt to the ever-changing technology, as well as the business environment. This paper aims to investigate the top risks faced by small and medium-sized enterprises (SMEs). In the meantime, this paper outlines the perspectives on enterprise risk management (ERM)-based best practices and the adoption level of ERM practices in SMEs.

A mixed methodology was used to collect a comprehensive understanding of the adoption of ERM, especially in SMEs. The research is based on cross-sectional questionnaires and collected from risk practitioners in Malaysia. Detailed analysis of the top risks and best practices presented in this paper to identify the developments of risk management in changing organizations. This study used chi-square tests to examine the distribution of the adoption of the ERM programme using risk and insurance management society risk maturity model attributes. Logit regression was used to test the association of ERM efforts with the probability of adopting/considering ERM practices.

The findings indicated that business interruption risk and economic slowdown risk are the major concern for companies in Malaysia. A business continuity plan was found to be the most common risk management practice. Efforts such as the establishment of a risk management team and the development of risk appetite and/or risk tolerance statements in an organization are associated with the probability of adopting/considering ERM practices.

This paper helps to identify challenges of implementing risk governance and management in SMEs that shed light on the regulatory setting which we rather know a little about its impacts.

There are limited studies conducted in emerging countries on ERM and the application of the ERM framework in SMEs. Prior research studies are mostly generalized and lack details of risk management strategies applying to specific risks. This paper successfully examined the low maturity level of ERM practices and how SMEs in Malaysia managed those risks that emerged in their organizations.

This paper aims to investigate the housing preference and housing affordability in Malaysian housing markets. There is a lack of research on the gap between supply and demand of houses in this market. Urbanization has increased the demand of houses in urban areas. However, the high demand in residential units increases the housing price which causes the affordability level dropped. Besides, the residences that provided by developers do not meet the expectation of the home buyers. There are three attributes that examined in this research to understand the home buyers’ preference.

This paper provides quantitative analysis on the housing affordability and the home buyers’ preference. This paper presents the results on the home buyers’ housing affordability and buying preference on houses. In addition, the study further confirmed the significant relationship between monthly income and type of preferred house, as well as monthly income and range of housing affordability using cross-tabulation analysis.

The findings indicated that the housing price in the current market is not affordable by most of the homebuyers and there are certain attributes that important to home buyers which should not be neglected.

This paper helps to shed light on the planning of Malaysian housing policy especially on the issue of providing affordable housing in urban areas.

Policymakers shall consider the elements of economics, social acceptance and feasibility of Malaysian housing policies to achieve sustainability in Malaysian housing markets. With the current government’s move to promote housing affordability amongst B40 income groups, local government and housing developers should work together in addressing housing demand in accordance to states and ensure that there is a more targeted housing policy.

With the detailed analysis on the home buyers’ preference, it helps to promote sustainable housing developments in meeting basic housing needs and preference.

This is the first study to examine relationship between Malaysian housing affordability with monthly income and type of preferred house. In the meantime, the housing affordability is compared with mean housing price and type of perceived affordable house. The paper presented homebuyer’s preference in housing for the consideration of government and housing developers in providing affordable housing.

This paper aims to investigate the impact of COVID-19 on the students studying in higher education institutions pre and during Movement Control Order (MCO). MCO was introduced in March 2020, and the learning process must switch from face-to-face to online learning in schools and universities. This study particularly focuses on university students by analyzing the students' motivation, the community of inquiry and learning performance. In total, three factors are examined in the construct of the community of inquiry, namely social presence, cognitive presence and teaching presence.

This paper provides quantitative analysis and paired sample t-tests on the students' learning motivation, the community of inquiry and learning performance. This paper presents the analysis of the online learning preference of 282 university students and examines whether there is significant difference in preference before and during MCO.

The findings indicated that the students lost motivation and learning performance using online learning methods during the MCO period. There is a lack of infrastructure to support the learning and social support from the lecturers and peers.

This research helps to explore improvements that are needed to manage such a pandemic to support teaching staff and students.

The COVID-19 is a pandemic that has affected the learning process of the students, and it should not be neglected even when it is over. Policymakers shall consider providing more training and better infrastructures to cater to smooth Internet connection and platform for online learning. Students are not able to focus on learning using online learning methods and, they lack motivation during the pandemic. The teaching faculty also need to be well-trained in delivering online courses and to be more tech-savvy.

With the detailed analysis of the students' learning motivation, the community of inquiry and learning performance, it helps to promote a better education environment.

This is the first study to examine the learning motivation and performance model as well as the community of inquiry during the pandemic. It is evident that university students initially have a high level of motivation and community of inquiry before the pandemic but yield a significant drop during the MCO. The paper presented how COVID-19 seriously impacted on the learning experience.

Both investors and the stock markets are believed to behave in a perfectly rational manner, where investors focus on utility maximization and are not subjected to cognitive biases or any information processing errors. However, it has been discovered that the sentiment of the social mood has a significant impact on the stock market. This study aims to analyze how did the protest event of Tesla happened in April 2021 have a significant effect on the company's stock performance as well as its competitors, Nio, under the competitive effect.

The research is based on time series data collected from Tesla and Nio by employing 10 days, 15 days and 20 days anticipation and adjustment period for the event study. This study employed a text sentiment analysis to identify the polarity of the sentiment of the protest event using the Microsoft Azure machine learning tool which utilizes MPQA subjective lexicon.

The findings provide further evidence to show that a company-specific negative event has deteriorating effects on its stock performance, while having an opposite effect on its competitors.

The paper argues that negative sentiments through social media word of mouth (SWOM) affect the stock market not just in the short run but potentially in the longer run. Such negative sentiments might create a snowball effect which causes the market to further scrutinize a company's operations and possibly lose confidence in the company.

This study explores how the Tesla's protest event at Shanghai Auto Show 2021 has a significant impact on Tesla's stock performance and prolonged negative impact although Tesla implemented immediate remedial actions. The remedial actions were not accepted positively and induced a wave of negative news which had a more persistent effect.