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This study provides a configurational examination of how policy designs influence the innovation performance of the emergency industry in China.

This study employs the Data Envelopment Analysis Malmquist index (DEA-Malmquist) to quantify the innovation performance of the emergency industry and then codes the innovation policies to calculate the syntactic components based on institutional grammar tools (IGTs). The configurations of syntactic components were determined by applying the fuzzy-set qualitative comparative analysis (fsQCA).

The results indicate that rules- and norms-oriented policy designs would improve the innovation performance of China's emergency industry. In the developed provinces, the “Deontic” and “aIm” combinations in the policy are useful for improving performance. In the developing provinces, the ambiguity of the “aIm” and “Context” conditions in the policy is leading to low performance. Additionally, a lack of strategy-oriented policy design would also result in poor performance.

Most previous studies used substitute variables to understand policy impacts. This study contributes to identifying the impacts of the syntactic components of policy designs on the innovation performance of the emergency industry. The findings can assist policymakers in developing more effective policies to stimulate innovation development in the emergency industry.

Organizations working in high-hazard environments contribute significantly to modern society and the economy, not only for the valuable resources they hold but also for the indispensable products and services they provide, such as power generation, transportation and defense weapons. Therefore, the main purpose of this study is to develop a framework that outlines future research on systems safety and provides a better understanding of how organizations can effectively manage hazard events.

In this research, we developed the high hazard theory (HHT) and a theoretical framework based on the grounded theory method (GTM) and the integration of three established theoretical perspectives: normal accident theory (NAT), high reliability theory (HRT) and resilience engineering (RE) theory.

We focused on the temporal aspect of accidents to create a timeline showing the progression of hazard events and the factors contributing to safety and hazards in organizations. Given the limitations of the previous theories in providing a coherent explanation of hazard event escalation in high-hazard organizations (HHOs), we argue that the highlighted theories can be more complementary than contradictory regarding their standpoints on disasters and accident prevention.

A proper appreciation of the hazard nature of organizations can help reduce their susceptibility to failure, prevent outages and breakdowns of systems, identify areas for improvement and develop strategies to enhance performance.

By developing HHT, we contribute to systems safety research by developing a new, refined theory and enrich the theoretical debate. We also expand the understanding of scholars and practitioners about the characteristics of organizations working in high-hazard environments.

The increasing frequency and intensity of the extreme weather events could cause devastating consequences in tourism. Climate change–related extreme weather events and their relation to tourism is an emerging field for education and research. The purpose of this study is to categorize the impact of climate change on tourist destinations with regard to extreme weather-related risks in outdoor recreation and tourism. Managerial implications for policymakers and stakeholders are discussed.

To outline the risks from climate change associated with tourism, this study uses the Prisma analysis for identification, screening, checking for eligibility and finding relevant literature for further categorization.

Based on a thoroughly examination of relevant literature, risks and threats posed by climate change could be categorized into following four areas: reduced experiential value in outdoor winter recreation; reduced value in beach scenery and comfort; land degradation and reduced biodiversity; and reduced value in personal safety and comfort in tourism. It also focuses on the significance of using big data applications in catastrophic disaster management and risk reduction. Recommendations with technology and data analytics to continuously improve the disaster management process in tourism education are provided based on findings of this study.

Primary contributions of this study include the following: providing a summarized overview of the risks associated with climate change in terms of tourist experiential value for educational implications; and revealing the role of data analytics in disaster management in the context of tourism and climate change for tourism education.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

This paper examines whether following a health crisis the use of health and safety protocols and hotel brand awareness influences hotel perceived value and intention to visit.

Using an experimental design, the study evaluates the effectiveness of the use of health and safety protocols and the moderating effect of brand awareness on perceived value and intention to visit.

The results show that the hotels using health and safety protocols (compared to those that do not use them) will achieve a higher perceived value and intention to visit. In addition, the awareness of brand does not moderate the effect of the health and safety protocols on perceived value and intention to visit.

This research identifies mechanisms for future consideration by hotel companies to promote the recovery of their activity after a health crisis. Specifically, using health and safety protocols will result in the market evaluating the brand more highly and produce a greater intention to visit. At the same time, the research indicates that regardless of whether the brand is well-known or not, the use of a health and safety protocol is advantageous.

This study offers new insights that can be useful for developing a resilient hotel sector in the face of future health crises. Specifically, the results show progress in understanding the effects that the use of health and safety protocols and brand awareness have on key consumer variables for the recovery of the sector in a post-pandemic context.

Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.

Disasters can affect the important sector of tourism across the world. This study aims to combine qualitative findings from 13 publications to enhance disaster management plans for the security and resilience of the tourist industry.

The authors used Noblit and Hare’s seven-step meta-ethnography method, identifying 13 qualitative studies on tourism disaster management through extensive searches in key databases (WoS, Scopus and Google Scholar), meeting inclusion criteria. NVivo 12 aided in coding, translation and comprehension of related ideas.

Five interrelated and third-ordered conceptual categories were identified: extreme natural and malevolent events, lack of risk management and emerg+ency response, sustainable tourism, tourism resilience factors, disaster awareness and preparedness. Effective strategies demand collaboration, resource allocation and local engagement.

This study offers a novel synthesis of qualitative research in tourism disaster management, enhancing understanding of resilience in the industry. It provides unique insights on cross-cultural dynamics, stakeholder engagement and integrated strategies while showcasing the utility of meta-ethnography in business and management research.

This paper reviews the evidence presented in the HHS report and challenges its characterization of the state of the market. The recent US Department of Health and Human Services (HHS) report on the blood industry, Adequacy of the National Blood Supply, provides evidence of and acknowledges that the industry has successfully met demand for blood. And yet the tone and takeaway message of the report of the industry is on the verge of collapse.

The approach of this paper is a critical review of the evidence presented in the HHS report as well as other recent analyses of the blood industry.

While acknowledging the successful performance of the industry to date, the HHS report offers hypothetical disaster scenarios and a lack of centralized data as the main causes for concern. These criticisms ignore the satisfactory response of the industry to prior disasters and fail to recognize that centralized information is not necessary for the efficient operation of a decentralized industry.

This paper offers a fresh assessment of a report repeating prior forecasts of doom for an industry which to date has very successfully met the United States' demand for blood.

Safe-to-fail (SF) is an emerging resilient design approach that has the potential to minimize the severity of flood damages. The purpose of this study is to explore the SF design strategies to reduce flood disaster damages in US coastal cities. Therefore, this study addresses two research questions: identifying the most suitable SF criteria and flood solution alternatives for coastal cities from industry professionals’ perspective; and investigating the controlling factors that influence the AEC students’ interest to learn about SF concepts through the curricula.

This study used the analytical hierarchy process to evaluate the SF criteria and flood solutions where data were collected through surveying 29 Department of Transportation professionals from different states. In addition, the study adopted a quantitative methodology by surveying 55 versed participants who reside in a coastal area and have coastal flood experiences. The data analysis included ordinal probit regression and descriptive analysis.

The results suggest that robustness is the highest weighted criterion for implementing SF design in coastal cities. The results demonstrated that ecosystem restoration is the highest-ranked SF flood solution followed by green infrastructure. Moreover, the results highlighted that age, duration spent in the program and prior knowledge of SF are significantly related to AEC students’ interest to learn this concept.

SF design anticipates failures while designing infrastructures thus minimizing failure consequences due to flood disasters. The findings can facilitate the implementation of the SF design concept during the construction of new infrastructures in coastal cities as well as educate the future workforces to contribute to developing resilient built environments.

There has been a long-running debate as to which is more important in the job market, education or experience. Traditionally, people have looked at these as exclusive traits of one another; however, more progressive thought sees these as complimentary attributes in perspective and existing employees that can be achieved at the same time through proactive activities such as micro-credentialing. This chapter will explore how formal and informal micro-credentialing processes can be put forward in both education and training environments.

The National Oceanic Atmospheric Administration (NOAA, 2022) shows an increase in severity and frequency of natural disasters in the past years with more organisations being faced with surviving these events than ever before. The recent COVID pandemic has shown how every organisation across the globe can be affected by a disaster and the cascading effects that follow. Techniques such as micro-credentialing is a tool that can be utilised by all organisations to ensure a safer outcome from these events as well as being positioned for better continuity of critical operations through the event helping to increase the survivability and profitability of the affected organisation.

The use of micro-credentialing components successfully could be discussed using any field or discipline. To be applicable to all readers, this chapter primarily focusses on the emergency services/management discipline as an example programme of how micro-credentialing can be efficiently utilised to produce a more successful workforce. Emergency management (EM) truly is an interdisciplinary field that utilises many other fields to protect people, organisations, and communities from emergencies and disasters. More importantly, though, there are components of EM that every field should embrace for safety as well as to ensure continuity of operations through any event, thereby making the components in this chapter applicable to all readers regardless of discipline or organisation.