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The purpose of this paper is to test the effects of financial regulatory announcements on risk and return in the Vietnamese equity market.

The event study methodology is used for the return analysis, and asset pricing models are adjusted for the risk analysis. Various robustness tests are used, including the Corrado non-parametric ranking test and the Chesney et al. non-parametric conditional distribution test, as well as GARCH, TARCH, EGARCH and PARCH specifications for the risk models.

The authors find evidence for both negative and positive reactions as well as risk shifting behaviour in the form of a diamond risk structure.

This paper fills a major gap in the literature by investigating the market’s reaction to bank regulatory announcements across financial and non-financial sectors in the Vietnamese equity market.

In a novel approach, two part-time “Link Nurses” within an NE Hampshire practice of 16,500 patients were funded by a local charity, to assess and manage unmet needs of isolated frail elderly patients at home. The paper aims to discuss these issues.

Patients in this vulnerable group with no recorded healthcare contact for a prolonged period were identified from practice computer records. One group was to be assessed at home, and appropriate interventions effected. Follow-up visits or telephone contacts also offered support to carers as well as isolated individuals. A matching quasi control group was identified but not visited, to assess the overall impact on the patients, GP and other healthcare contacts. Difficulties with the control group were encountered and addressed.

Important unmet healthcare needs were found amongst the visited patients, which the nurses were able to address themselves, or refer to the GPs or appropriate agencies. The control group demonstrated greater demand for out-of-hours, GP and district nurse contacts, and more unplanned hospital admissions.

Besides dealing with unmet needs at home, ongoing support by local GP nurses may reduce bed-blocking by moving away from “crisis management” of patients in this vulnerable group.

Few other trials have employed practice nurses to see and manage frail elderly patients in their homes.

This paper aims to explore the explanations of “information effect” and “agency effect” of corporate diversification with cross-industry knowledge under a crisis situation.

Based on an event study of 203 public companies’ crises in China between 2008 and 2018, the authors verify the information and agency effects of corporate diversification under a crisis situation by, respectively, examining the effects of interactions of corporate unrelated diversification with corporate transparency and knowledge deficiency attribution on the stock market’s responses to the crises.

It is found that corporate unrelated diversification serves as a buffer in protecting firm value while attribution of knowledge deficiency can be a burden. The buffering effect is stronger when the corporate transparency is higher but weaker when the crisis is attributed to be caused by corporate tacit knowledge deficiency.

Unrelated diversified firms should strengthen information communication with stakeholders so as to break down the stakeholders’ cross-industry knowledge barriers, and thus protect their own value at the crisis’ onset. Also, they can further buffer the loss by reducing stakeholders’ perceptions of the corporate tacit knowledge deficiency revealed in the crisis.

This study is the first to illustrate that the information and agency effects of corporate diversification strategy can be partially explained under a crisis situation, which provides meaningful insights about how firms can conduct knowledge management in their daily operations to deal better with corporate crises.

This study aims to investigate the bright and dark sides of environmental, social and governance (ESG) during the COVID-19 pandemic, including both the outbreak and recovery periods, for the Chinese hospitality industry.

Using panel data of 564 firm-quarter observations from 2018 to 2020, the authors adopt fixed-effects regression estimation with standard errors clustered at the firm level. To address potential endogeneity concerns, the authors also use the two-stage least squares estimator with instrumental variables.

The results suggest that ESG plays different roles in market- and accounting-based performance during the COVID-19 outbreak and recovery periods. Specifically, ESG practices show a bright side as a reputation builder to mitigate the negative pandemic impact on market-based performance, whereas the dark side of ESG practices consumes firm resources to aggravate the negative pandemic impact on accounting-based performance during the coronavirus outbreak. These results also suggest hospitality companies benefit bountifully from ESG practices during the COVID-19 recovery.

ESG plays a vital role for hospitality firms by providing insurance-like protection during and after the COVID-19 outbreak. Additionally, hospitality firms should evaluate their capability to adapt resource-consuming ESG practices.

Existing hospitality COVID-19 studies have investigated the effect of ESG on firm performance within a short period with mixed results. This study extends the literature by showing the different effects of ESG practices on market- and accounting-based performance during the COVID-19 outbreak and recovery periods.

The purpose of this paper is to develop a method to understand the predictors of hijab fashion consciousness and consumption. Muslim women in developing countries have evolved from living a traditional to a modern lifestyle, as more women become more educated, work and earn their own money. As modern sophisticated Muslim women, they have transformed themselves in the way they dress and don their hijab while adhering to the Shariah-compliant dress code. As a result, hijab fashion among hijabistas “Muslim women who wear fashionable outfits with matching fashionable headscarves” is flourishing.

Data were collected using questionnaires distributed to Muslim women who visited the Kuala Lumpur International Hijab Fashion Fair 2014 using the convenience sampling method. A total of 345 final useable data were used for data analysis using SmartPLS.

Results show that dressing style, fashion motivation, fashion uniqueness and sources of fashion knowledge positively influence fashion consciousness and indirectly influence hijab fashion consumption.

Results of this paper will provide insights to the people involved in the fashion industry, such as designers, retailers and marketers, to understand the hijabista market segment. Practitioners can design proper hijab fashion products that are Shariah-compliant to capture the segment of Muslim women with proper marketing strategies.

The fashion of Muslim women, particularly the hijab fashion, has received little attention in the fashion literature. This paper hopes to provide new insights to relevant researchers and industries.

Community resilience decides a lot on a city's ability to withstand an external shock. It has evolved naturally from a bounce-back approach to a more robust and meaningful bounce-forward process. The study explores gaps found in community resilience and finds that criteria specific to different disasters are absent.

The study uses a multi-criteria decision analysis technique, fuzzy Delphi, to select criteria. Derivation of the initial list of criteria was from a pilot study, a focus group discussion and other literature studies which was followed by the fuzzy Delphi survey.

After two rounds of fuzzy Delphi analysis, the consensus among 65 experts resulted in selecting 125 sub-sub-criteria within seven criteria. Findings show that many criteria previously not discussed in other pieces of literature project high fuzzy scores such as “availability of drinking water post-disaster” and “cracking down fake news spreaders by the police”. In addition, positive cooperation between political and religious institutions have proven to expedite disaster recovery.

The future scope also includes weighing the selected criteria using analytical hierarchy process (AHP).

Policymakers in the disaster management domain can use the study findings in implementing effective disaster mitigation strategies.

The selection of criteria is based on the community resilience shown by the Kerala community during the floods of 2018 and 2019 (in Kerala). Measures demonstrated by the community need to be studied, which will help foster disaster mitigation better in future scenarios.

The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO₂) emission by vehicles over different route choices.

The study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO₂ emission is estimated over each of the junction in tandem and collectively over each of the routes.

The outcome of the study is a mathematical formulation, using queuing theory to estimate CO₂ emissions over different route choices. Research finding estimated total time spent and subsequent CO₂ emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO₂ emissions.

Proposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction.

The work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO₂ emissions.

Proposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.

This paper aims to find the endogenous relationship between innovation input and corporate performance and deepen the study of innovation performance theory in industry and enterprise at the micro level.

This paper selects the firms listed on A shares in Shanghai and Shenzhen Stock Exchanges from 2009 to 2015 as samples. The authors cluster these samples according to the factors of production and classify the samples into three types: technology-intensive, capital-intensive and labor-intensive. After obtaining the samples and classifying them, the authors conduct a research on the endogenous relationship between the innovation input and the corporate performance through the simultaneous equations model and 3SLS estimation method. Meanwhile, they also make a study on the influence of executive incentive mechanism on the relationship between the innovation input and the corporate performance.

In technology-intensive industry, the increase of pre-innovation input will enhance the corporate performance in the current period, however, which will slow down the pace of innovation and lead to lower corporate performance in the future, and then increase innovation input again. In contrast, in capital-intensive industries, innovation input just improves corporate performance in the current period and the promotion of corporate performance will promote the intensity of innovation input in the future. With labor-intensive industries, innovation input also depends on early good returns, but innovation input has no significant impact on the corporate performance both at present and in the future. While in the executive incentive mechanism, salary incentive has a significant positive regulatory effect on the relationship between innovation input and corporate performance.

This paper presents a new research perspective on the relationship between innovation input and firm corporate performance, which is of great value to the listed company in balancing the R&D input with the company’s target performance and the design of executive incentive mechanism.