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This paper studies lessons learned from Covid-19 disaster management in Malaysia using machine learning techniques. First, we crawl Twitter data related to 'covid' with geo-location bounding-box. Then we contribute to propose LDA topics generated on citizen perception containing negative sentiment towards government response; hence, we represent the data using VOSviewer and D3.js to emphasize topic modeling with respect to timestamp due to pattern analysis. As results, LDA-based topic visualization may recognize the accounts' pattern that are assumed as the pillars of disaster management in Malaysia. This study gains insights from political science field. Implications of the results are also discussed. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is an unpredictable event that has had unexpected effects on many countries, including Malaysia. The Government of Malaysia implemented the Movement Control Order (MCO) to restrain the outbreak of the pandemic. As a result, MCO has had a huge impact on various industries in Malaysia, especially the construction industry. Therefore, time and cost become critical components in order to successfully deliver the project and are the factors most affecting by the COVID-19. This paper explores the impact of the main contractor's awareness, perceptions, and readiness for the Covid-19 pandemic. Quota and snowball sampling methods were used. Total of 167 samples were collected and analyzed using SPSS software. This research presents the main contractor's perception and readiness has significant correlation to the pandemic disruption in Malaysia while the main contractor's awareness showing no correlation. The position level of main contractor's traits shows no significant to the pandemic disruption. These results provide evidence that main contractor is significantly affecting by the pandemic disruptions, thus cultivating the main contractor's traits in the construction industry is needed. [ABSTRACT FROM AUTHOR]

• A cross-country analysis identifying risk and protective factors on the COVID-19 deaths. • Ranking of 100 countries based on the proposed pandemic containment effectiveness (PCE) score. • Positive relationship between the PCE score and economic growth in major economies. • A counterfactual analysis discussing the tradeoff between the PCE scores and GDP growth. This paper studies whether containing COVID-19 pandemic by stringent strategies deteriorates or saves economic growth. Since there are country-specific factors that could affect both economic growth and deaths due to COVID-19, we first start with a cross-country analysis on identifying risk and protective factors on the COVID-19 deaths using large across-country variation. Using data on 100 countries from 3 January to 27 November 2020 and taking into account the possibility of underreporting, we find that for deaths per million population, GDP per capita, population density, and income inequality are the three most important risk factors; government effectiveness, temperature, and hospital beds are the three most important protective factors. Second, inspired by the stochastic frontier literature, we construct a measure of pandemic containment effectiveness (PCE) after controlling for country-specific factors and rank countries by their PCE scores for deaths. Finally, by linking the PCE score with GDP growth data in Quarters 2 and 3 of 2020, we find that PCE is positively associated with economic growth in major economies. Countries with average PCE scores, such as Malaysia, would gain more GDP growth by 3.47 percentage points if they could improve their PCE scores for deaths to South Korea's level in Q2 of 2020. Therefore, there is not a trade-off between lives and livelihood facing by governments. Instead, to save economy, it is important to contain the pandemic first. Our conclusion is also mainly valid for infections due to COVID-19. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 or Covid-19 pandemic has affected many operations worldwide. This predicament also owes to the lockdown measures imposed by the affected countries. The total lockdown or partial lockdown devised by countries all over the world meant that most economic activities, be put on hold until the outbreak is contained. The decisions made by authorities of each affected country differs according to various factors, including the country's financial stability. This paper reviews the impact of Covid-19 pandemic on maritime sectors, specifically shipping, fisheries, maritime tourism, and oil and gas sector. The period of this study covers economic activities between the month of January towards the end of July 2020. Also discussed in this journal, is the analysis of the potential post-outbreak situation and the economic stimulus package. This paper serves as a reference for future research on this topic. [Display omitted] • COVID-19 adversely affects the maritime industry in Malaysia. • Staff termination and salary cut-off are among the business coping strategies. • Malaysia's economic stimulus package could mediate the impact of the pandemic. • All maritime sectors need to become agile and resilient in adapting to this changing situation. [ABSTRACT FROM AUTHOR]

The Covid-19 pandemic has had an adverse effect on the global economy, particularly the hotel industry. Industry players have turned to big data to recover and improve their business performance. This paper aims to identify the key resources to develop and build big data analytics capabilities (BDAC). Drawing upon the knowledge-based and dynamic capability views, this research also examines the interplay among BDAC, organizational agility, marketing and organizational innovations, and firm performance in the hotel industry. The partial least square structural equation modeling is used for the data analysis, while quota sampling is used for the sampling design. Based on the statistical data analysis from 115 star-rated hotels in Malaysia, BDAC positively impacts organizational agility, marketing and organizational innovations, and firm performance. Likewise, organizational agility positively impacts firm performance, marketing and organizational innovations. The empirical findings provide researchers and industry players with meaningful insights for improving firm performance in the hotel industry using big data. [ABSTRACT FROM AUTHOR]

The right to the city concept is widely debated in academic discourse yet ambiguously executed in public discourse. In much of the discussion, the right to the city is advocated as a right that humans should claim—i.e., participating in urban space living. Nonetheless, constraints and limits are imposed on such advocacy, resulting in a tokenized implementation state. With such a background surmounting the COVID-19 pandemic era, this study is aimed at understanding the right to the city propagation and revealing the possible wrongs of such civic advocacy. Multiple cases in Malaysia were selected for analysis and as the discussion context representing the state-of-the-art aspect of right to the city in the context of an emerging country. Two potential misconceptions through the action of right to the city were identified: first, the concept of right to the city has the potential to infringe the centrality of power, which both citizens and the authority have to make clear; second, the lack of a sign of contribution from citizens poses a severe challenge to build a co-created urban space for all. This paper contributes to removing a blind spot—the possible wrong to the right to the city—and provides ideas to achieve authentic citizen participation. [ABSTRACT FROM AUTHOR]