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Following Hovland’s persuasion theory, this paper aims to develop a conceptual model and analyzes characteristics of online political deliberation behavior from three aspects (i.e. information, situation and manager). Based on the whole interactive process of online political deliberation, this paper aims to reveal the key points that affect the response effect of the government from the persuasive perspective of online political consultation.

Based on more than 40,000 netizens’ posts and government responses from 2011 to the first half of 2019 of the Chinese political platform, this paper used the text analysis and machine learning methods to extract measurement variables of online political deliberation characteristics and the econometrics analysis method to conduct empirical research.

The results showed that the textual information, political environment and identity of the political objects affect the effectiveness of government response. Furthermore, for different position categories of political officials, the length of political texts, topic categories and emotional tendencies have different effects on the response effectiveness. Additionally, the effect of political time on the effectiveness of response differs.

The findings will help ascertain the characteristics of online political deliberation behavior that affect how effective government response is and provide a theoretical basis for why the public should express their political concerns.

This study aims to explore the efficacy of government policy directions in mitigating the effects of the COVID-19 pandemic by employing a panel of 22 countries throughout the 2020-second quarter of 2022.

The panel autoregressive distributed lag (ARDL) model is employed to examine this phenomenon and to investigate the long-run effects of government policy decisions on infection and mortality rates from the pandemic.

The study reveals the following key findings: (1) Income support and debt relief facilities and stringent standards of governments are associated with reduced infection and death rates. (2) The response of governments has resulted in decreased mortality rates while simultaneously leading to an unexpected increase in infection rates. (3) Containment and healthcare practices have led to a decrease in infection rates but an increase in mortality rates, presenting another counterintuitive outcome. Despite the expectation that robust government responses would decrease infection rates and that healthcare containment practices would reduce mortality, these results highlight a lack of health equity and the challenge of achieving high vaccination rates across countries.

To effectively combat the spread of COVID-19, it is crucial to implement containment health practices in conjunction with tracing and individual-level quarantine. Simply implementing containment health measures without these interconnected strategies would be ineffective. Therefore, policy implications derived from containment health measures should be accompanied by targeted, aggressive, and rapid containment strategies aimed at significantly reducing the number of individuals infected with COVID-19.

This study concludes by suggesting the importance of implementing economic support in terms of income, and debt relief has played a crucial role in mitigating the spread of COVID-19 infections and reducing fatality rates.

To effectively combat the spread of COVID-19, it is crucial to implement containment health practices in conjunction with tracing and individual-level quarantine. Simply implementing containment health measures without these interconnected strategies would be ineffective. Therefore, policy implications derived from containment health measures should be accompanied by targeted, aggressive, and rapid containment strategies aimed at significantly reducing the number of individuals infected with COVID-19.

This research makes a unique contribution to the existing literature by investigating the impact of government responses on reducing COVID-19 infections and fatalities, specifically focusing on the period before COVID-19 vaccinations became available.

This report aims to present a detailed evaluation of resilience planning of the ASEAN-5 tourism sector to national disasters. The project analyses the challenges to the tourism industry in the ASEAN-5 (Singapore, Indonesia, Thailand, the Philippines and Malaysia) countries due to national disasters (economic crisis, health hazards, natural calamity and/or act of terrorism) and the effectiveness of the measures taken in response to disastrous events.

The project analyses the effect of national disasters over a 10-year period in the ASEAN-5 countries on tourism economy and effectiveness of government action in resilience planning. The study uses two research questions to comment on comparative effectiveness of resilience planning in the ASEAN-5 nations.

The findings of this study revealed that national disasters affect a county’s tourism sector performance and its economy negatively. In particular, national disasters have harmful effects for a country’s tourism arrivals, tourism receipts, gross domestic product and unemployment. The findings reveal that regardless of geographical closeness of the ASEAN-5 countries, each experienced different effects in terms of national disasters and each used different government recovery measures.

This paper builds a knowledge management system for national disasters and the tourism sector. It provides a ready reference of timeliness and effectiveness of measures and to develop a framework for future tourist disaster management systems. Specifically, the relationships between the tourism indicators explored in this study contribute significantly to the knowledge on how these indicators interact to affect the tourism industry and the country’s economy. Furthermore, this information would act as a guide for countries to design and implement resilience planning and disaster management response.

Resilience planning is emerging as a key area under sustainable development. This report presents an evaluation of resilience planning of the ASEAN-5 tourism sector to national disasters.

The aim of this paper is to examine a model that combines barriers, drivers, government responses, recovery expectations, expected future changes in performance and the extent of digitalisation as a moderator in SMEs.

This study uses exploratory causal methodologies. The study employs a quantitative methodology based on utilising an electronic questionnaire to gather the opinions of home workers and entrepreneurs in Jordan. The cross-sectional data collection approach was conducted in a single time frame, and a total of 1,179 valid questionnaires were analysed using Smart PLS along with SPSS.

The findings demonstrate that the barriers lower the expectations of recovering performance, whilst the drivers and government responses raise the expectations of both performance recovery and change in performance. Concerning digitalisation, this study discovered that firms going digital had a significant positive direct impact on expectations of performance change. This paper also found that expectations of performance change are significantly positively impacted by the interaction between drivers and digitalisation. However, the moderating influence of digitalisation on the positive impact of government responses on expectations of performance change was not verified.

The study's conclusions led to the formulation of several policy recommendations aimed at easing the burden on SMEs.

This study adds something new to the body of knowledge on SMEs by investigating the effects of barriers, drivers and government responses on expectations of performance recovery and the expected future change in performance moderated by digitalisation.

The purpose of this paper is to compare the performance of Iran and G7 countries in the management of the COVID-19 crisis.

The indicators and statistics provided by the Oxford Government Response Tracker are used in this research. Sixteen indicators and their related items have been analyzed for eight countries including Iran, Canada, Germany, France, Great Britain, Italy, Japan, and the United States. For data analysis, Multivariate analysis of variance (MANOVA) and Tukey’s post hoc test were applied, and structural equation modeling performed with the help of SPSS and Smart-PLS software.

The results show that 8 indicators of closing schools, cancellation of public events, restriction of gatherings, restriction of domestic travel, restriction of international travel, reduction of household debt, testing policy, and contact tracing, have an effect on the number of deaths in the countries under review. The results also showed that the countries exhibit behaviors outside their normal culture during the crisis.

This paper will be helpful for scholars, as well as policymakers when making policies on the appropriate responses to COVID-19 and similar pandemics.

While the COVID-19 pandemic wreaked havoc across the globe in 2020 and early 2021, Vietnam made some achievements in containing this virus. This study aims to focus on how government response could influence public compliance in Vietnam in 2020 (the first pandemic year).

The authors used data gathered from individuals residing in Vietnam during the COVID-19 social distancing in April 2020. An online survey was used to collect the data. To conduct the empirical analysis, we used a structural equation model (SEM). The data were analyzed using SPSS 25 and AMOS 24.

Government response was positively associated with public compliance through the mediating roles of trust in government and support for government.

This research provides implications for crisis management in developing countries during a public health crisis, especially when or where vaccines are unavailable.

This research is among the first attempts that examine how government response enhances citizen compliance directly and indirectly through the mediating roles of citizen trust in government and citizen support for government.

The purpose of this study is to examine the mediating and moderating processes that link crisis management to tourist attitude changes and hygiene/safety perceptions through destination image.

Data from 524 tourists and structural equation models were used to examine the tourists’ perceptions of attitudes, safety perceptions and destination images in Taiwan.

The effectiveness of crisis management may positively influence destination image through attitude changes and hygiene/safety perceptions. This study also confirms that information sharing may not only speed up the process of positive destination-image development but also strengthen relationships among the critical attributes of crisis management.

As the impact of the COVID-19 crisis continues, it is critical to understand the role of crisis management in destination image and identify how attitudes or behavior intentions can be affected in the fast-spreading network of information sharing in an increasingly competitive tourism and hospitality market.

本研究的目的是检验如何通过中介和调节过程将危机管理与卫生/安全感知、游客态度变化和目的地形象联系起来的。

数据来自 524 名游客, 并通过结构方程模型 (SEM)进行分析 , 用于检验游客对台湾的态度、安全感知和目的地形象的看法。

危机管理的有效性可以通过态度改变和卫生/安全认知对目的地形象产生积极影响。目前的研究还进一步显示信息共享不仅可以加速积极的目的地形象发展过程, 还可以加强危机管理的关键属性之间的关系。

随着 COVID-19 危机的影响持续, 了解危机管理在目的地形像中的作用, 并确定态度或行为意图如何在竞争激烈的旅游和酒店市场中影响快速传播的信息共享网络至关重要。

El propósito de este estudio es examinar los procesos de mediación y moderación que vinculan la gestión de crisis, con los cambios de actitud de los turistas y las percepciones de higiene/seguridad a través de la imagen del destino.

Se utilizaron datos de 524 turistas, así como la metodología de ecuaciones estructurales (SEM), para examinar las percepciones de los turistas sobre la influencia del coronavirus 2019 (COVID-19) en el comportamiento del consumidor en forma de actitudes, percepciones de seguridad y destino sobre imágenes en Taiwán.

La eficacia de la gestión de crisis puede influir positivamente en la imagen del destino a través de cambios en la actitud y percepciones de higiene/seguridad. El estudio también confirma, que el intercambio de información no solo puede acelerar el proceso de desarrollo de una imagen positiva del destino, sino también fortalecer las relaciones entre los atributos críticos de la gestión de crisis.

A medida que continúa el impacto de la crisis del COVID-19, es fundamental comprender el papel en la gestión de crisis, imagen del destino e identificar cómo las actitudes o las intenciones de comportamiento pueden verse afectadas por la rápida expansión e intercambio de información, en un cada vez más competitivo mercado turístico.

According to the Government Response tracker (oxCGRT) index, the overall government response, stringency, economic support, containment and health policies to COVID-19 from January 2020 to December 2022. The main objective of this paper is to explore how stock market performance is affected by these polices, respectively.

The authors employ EGARCH and autoregressive distributional lag (ARDL) models to test the impact of epidemic prevention policy implementation on stock market returns, volatility and liquidity and make cross-country comparisons for six important world economies.

Firstly, the implementation of various preventive policies hurts stock market returns and increases volatility, but there are a few indicators that have no effect or have an easing effect in some countries. Secondly, health policies exacerbate market volatility and have a stronger effect than other policy indicators. Thirdly, In China and the USA, anti-epidemic policies have been shown to worsen liquidity, while in Japan they have been shown to improve liquidity.

First, enrich the growing body of COVID-19 research by comprehensively examining whether and how government prevention policies affect stock market returns, volatility and liquidity. Second, explore the impact of different types of intervention policies on stock market performance, separately.

This paper aims to examine the history of data leaks and investigative journalism, the techniques and technology that enable them and their influence in Australia and abroad. It explores the ethical and professional considerations of investigative journalists, how they approach privacy and information-sharing and how this differs from intelligence practice in government and industry. The paper assesses the strengths and limitations of Collaborative Investigative Reporting based on Information Leaks (CIRIL) as a kind of public-facing intelligence practice.

This study draws on academic literature, source material from investigations by the International Consortium of Investigative Journalists and the Organised Crime and Corruption Reporting Project, and a survey of financial crime compliance professionals conducted in 2022.

The paper identifies three key causal factors that have enabled the rise of CIRIL even as traditional journalism has declined: the digital storage of information; increasing public interest in offshore finance and tax evasion; and “virtual newsrooms” enabled by internet communications. It concludes that the primary strength of CIRIL is its creation of complex global narratives to inform the public about corruption and tax evasion, while its key weakness is that the scale and breadth of the data released makes it difficult to focus on likely criminal activity. Results of a survey of industry and government professionals indicate that CIRIL is generally more effective as public information than as an investigative resource, owing to the volume, age and quality of information released. However, the trends enabling CIRIL are likely to continue, and this means that governments and financial institutions need to become more effective at using leaked information.

Over the past decade, large-scale, data-driven investigative journalism projects such as the Pandora Papers and the Russian Laundromat have had a significant public impact by exposing money laundering, financial crime and corruption. These projects share certain hallmarks: the use of human intelligence, often sourced from anonymous leaks; inventive fusion of this intelligence with data from open sources; and collaboration among a global collective of investigative journalists to build a narrative. These projects prioritise informing the public. They are also an important information source for government and private sector organisations working to investigate and disrupt financial crime.