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As commercial cooking is known as a source that generates great concentrations of particulate matter (PM) emissions first accumulating in kitchens before spreading to dining areas, this study aims to explore how to improve restaurants’ efforts to reduce PM emissions by the application of attribution theory.

Data were obtained from restaurant managers operating their business in South Korea, considered to be qualified to provide accurate information regarding the survey questions. A scenario-based experimental approach was used to test the hypothesized relationships. Cognitive and emotional risk judgements were assessed for its potential interaction effects on the relationships between restaurant perceptions of PM source attributions, preventions attitudes and mitigation behavioral intentions.

Results revealed that perceptions of PM main sources were attributed to internal rather than external factors, which improved mitigation behavioral intentions. Such an effect was partially mediated through PM pollution prevention attitudes. Additionally, when applying external source attributions, PM mitigation behavioral intentions were improved by cognitive risk judgements, and PM prevention attitudes were enhanced by affective risk judgements.

Results assist restaurants to better understand their operations that may be emitting significant levels of PM, thereby encouraging them to set more ambitious and effective PM mitigation operational guidelines for their employees and diners.

This study provides a fundamental baseline of management perceptions regarding PM emissions related to restaurant mitigation behavioral intentions. Results are useful in designing appropriate communication strategies addressing restaurant PM pollution issues to improve internal restaurant practices regarding clean air quality.

The study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.

The methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.

Finally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.

Additionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).

Structured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.

The innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.

The aim of this project is to modify and test the executive model of professional teacher training of disaster prevention education.

A three‐level teacher‐training program for disaster prevention education and training curricula is designed for campus disaster mitigation. The designed disaster prevention education in schools focus on the awareness of disasters, attitude toward prevention, preparation beforehand, appropriate countermeasures, scheduled drills, establishment of community‐based prevention units, participation, training programs for teachers, safety warning signs for public buildings, and research on disaster prevention.

The accomplishment of the project includes: the design of a systematic license procedure for disaster prevention for the leading‐level, county‐level, and campus‐level; the design of a systematic curricula for teacher training of disaster prevention and training campus‐level teachers; and the evaluation of the efficiency and performance of the teacher‐training program for disaster prevention education.

A three‐level teacher‐training program for disaster prevention education and training curricula is designed. Statistics analysis of training and learning efficiency evaluation by trainee shows that the designed courses are efficient and practical. The project cultured 310 campus‐level disaster prevention teachers and more than 1,000 licensed teachers trained that follow the training program in Taiwan.

Although the Sendai Framework for Disaster Risk Reduction 2015–2030 explicitly recognizes the need for psychosocial support and mental health services, the focus of this and many disaster risk reduction and management (DRRM) plans lies in the response, recovery, and rehabilitation phases. Less attention has been given to how mental health aspects affect the predisaster phase. This chapter explores the less understood concept of “resistance” in the perspectives model of disaster mental health, which is related to DRRM themes of “prevention and mitigation” and “preparedness” interventions. Four strategies are identified by which DRRM interventions can contribute to psychosocial support and mental health: increasing stress resistance, fostering cohesion and social support, fostering positive cognition, and building self-efficacy and hardiness. We review the cases of the Philippines, Indonesia, Myanmar, and Thailand and report existing socio-political DRRM initiatives for prevention, mitigation, and preparedness that can potentially enhance resistance as a predisaster intervention. Beyond medical services or clinical mental health interventions for select populations, DRRM interventions can benefit the general public. Despite natural intersections, there remains a need for deliberate and targeted initiatives that explore how vertical pyschosocial care programs can be created to straddle both DRRM and health sectors in practice.

The purpose of this paper is to introduce a supply chain view of a robust and resilient halal brand. In this conceptual paper, a risk prevention-mitigation-recovery cycle is proposed.

This paper builds further on previous work published in the Journal of Islamic Marketing on Islamic branding and halal supply chain management. Hypotheses are developed on the intensity of risk management.

Integrity of halal products is becoming an increasing concern for governments and industries. Three halal supply chain risk cycles are proposed: (1) risk prevention: risk vulnerability assessment, supply chain (re)design, vertical and horizontal collaboration, monitoring; (2) risk mitigation: investigative audits, cross-functional team, risk mitigation and communication plan, monitoring; and (3) risk recovery: risk recovery and communication plan, resume operations, maintain employee support, review risk mitigation and recovery plans.

This conceptual paper proposes three halal supply chain risk cycles to better organise risk management in halal supply chains. However, more empirical research on halal risk management is needed to validate these risk management cycles.

To better protect halal brands and corporate reputation, there are evident benefits of extending halal assurance towards the supply chain, for which prevention-mitigation-recovery cycles are proposed.

As halal is going through an evolution, towards a halal supply chain and value chain, halal-certified brands need better protection. It is the first study investigating halal risk and reputation management for halal-certified brands.

This paper aims to focus on the different types of insider-led cyber frauds that gained mainstream attention in recent large-scale fraud events involving prominent Indian banking institutions. In addition to identifying and classifying cyber fraud, the study maps them on a severity scale for optimal mitigation planning.

The methodology used for identification and classification is an analysis of a detailed literature review, a focus group discussion with risk and vigilance officers and cyber cell experts, as well as secondary data of cyber fraud losses. Through machine learning-based random forest, the authors predicted the future of insider-led cyber frauds in the Indian banking business and prioritized and predicted the same. The projected future reveals the dominance of a few specific cyber frauds, which will make it easier to develop a fraud mitigation model based on a victim-centric approach.

The paper concludes with a conceptual framework that can be used to ensure a sustainable cyber fraud mitigation ecosystem within the scope of the study. By using the findings of this research, policymakers and fraud investigators will be able to create a more robust environment for banks through timely detection of cyber fraud and prevent it appropriately before it happens.

The study focuses on fraud, risk and mitigation from a victim-centric perspective and does not address it from the fraudster’s perspective. Data availability was a challenge. Banks are recommended to compile data that can be used for analysis both by themselves and other policymakers.

The structured, sustainable cyber fraud mitigation suggested in the study will provide an agile, quick, proactive, stakeholder-specific plan that helps to safeguard banks, employees, regulatory authorities, customers and the economy. It saves resources, cost and time for bank authorities and policymakers. The mitigation measures will also help improve the reputational status of the Indian banking business and prolong the banks’ sustenance.

The innovative cyber fraud mitigation approach contributes to the sustainability of a bank’s ecosystem quickly, proactively and effectively.

This study addresses the growing cyber risks of banks by proposing an innovative, end-to-end dual-layer blockchain-based cyber fraud (CF) response system that integrates Safeguard (SG) and Block guard (BG) mechanisms. The comprehensive solution offers an actionable framework for bank managers to mitigate CFs by prioritizing fraud detection, leveraging early warning signals (EWS), and implementing tailored, need-based control measures before, during, and after a fraud event.

The study uses a multi-method approach, beginning with an extensive literature review on fraud identification, assessment, and prevention strategies. A theoretical framework is constructed to support the proposed SG and BG measures. Machine learning-based data analysis, using Artificial Neural Networks, is employed to dynamically assess the severity of CFs in real time. A managerial action plan for each phase of the fraud lifecycle is presented.

The research underscores the necessity for an adaptable, dual-layered response system that transitions from reactive to proactive and predictive mitigation strategies. The study introduces a novel approach incorporating SG and BG mitigation measures, enabling managers to detect early warning signals and implement robust post-fraud interventions.

The dual-layer approach enhances the sector's resilience to CFs by providing a robust, adaptive framework for fraud prevention and mitigation. This approach helps maintain stability, SG the bank's reputation, and improve overall risk management practices.

This study is unique in its development of an integrated SG and BG response system, combining machine learning, blockchain technology, early warning signals, and a structured before-during-after fraud control model. The research also highlights the critical role of bank managers in implementing and overseeing this innovative response system.

The law of catastrophic wildfire prevention and response in the Mediterranean member states of the European Union stands in stark contrast to that of common law nation states such as Australia and the United States. This is due primarily to the higher levels of reciprocal moral and legal obligations between governments and citizens established in various sources of European law. Focusing on the relationship between the EU, Spain, and the Autonomous Community of Catalonia within Spain, this chapter describes these three legal frameworks as they are nested within each other, followed by some case law examples of these laws in action. We compare and contrast the philosophical assumptions underlying the utilitarian cost–benefit approach to regulatory justification used in the United States with the precautionary principle model emblematic of the European Union, the member state of Spain, and its Autonomous Community of Catalonia. Regardless of approach, protection of the public health, safety, and welfare will only be as robust and effective as the government agencies that have that responsibility, and the degree of cooperation with those agencies of the citizens they serve.

The purpose of this study identified the priorities, challenges and different aspects of the mitigation phase according to policymakers for planning and better management of reducing risk within the cultural, religious, social and political conditions of Iran.

In the present qualitative study, 19 policymakers in different levels of the disaster management organizations were selected based on purposive sampling. Semi-structured and face-to-face interviews were used to identify the participants’ views. The findings were analyzed using thematic analysis.

The present situation and the challenges of the mitigation phase were the main themes in this study. Risk perception, training and media were the sub-themes. Political, legal, social and cultural challenges of the mitigation phase were also sub-themes.

The findings of this study indicated that different aspects should be considered to minimize the risk of earthquake. In addition, all kinds of media, including visual, written, audio, instrumental, group and multimedia, should be used for enhancing public awareness so that readiness for earthquakes can be considered as a permanent mission of the citizens, who are always concerned about earthquakes.

Key elements of disaster management are prevention, mitigation, preparedness, response and relief, rehabilitation. The various stakeholders in the process of disaster mitigation are policy makers, decision makers, administration, professionals, professional institutions, R&D institutions, financial institutions, insurance sector, community, NGOs and the common man. Insurance has played a very important role. The advanced countries have developed the insurance system and made it effective and mandatory – as a result the loss of lives and property is comparatively less. In India, most of the losses suffered in natural disasters are not insured, for reasons such as lack of purchasing power, lack of interest in insurance, theory of karma attitude and ignorance of availability of such covers. Quite large numbers of agencies provide the insurance cover and foreign insurance companies have already ventured in such areas. This implies that the commercial and private sector can also play an essential role in disaster mitigation. The present study attempts to fill the gap in studies on the role of the insurance sector in disaster management.