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The impact of disasters caused by natural hazards on people in affected communities is mediated by a whole range of circumstances such as the intensity of the disaster, type and nature of the community affected and the nature of loss and displacement. The purpose of this paper is to demonstrate the need to adopt a holistic or integrated approach to assessment of the process of disaster recovery, and to develop a multidimensional assessment framework.

The study is designed as a novel qualitative assessment of the recovery process using qualitative data collection techniques from a sample of communities affected by the Indian Ocean tsunami in Eastern and Southern Sri Lanka.

The outcomes of the interventions have varied widely depending on such factors as the nature of the community, the nature of the intervention and the mode of delivery for donor support. The surveyed communities are ranked in terms of the nature and extent of recovery.

The indices of recovery developed constitute a convenient tool of measurement of effectiveness and limitations of external interventions. The assessment used is multidimensional and socially inclusive.

The approach adopted is new to post-disaster recovery assessments and is useful for monitoring and evaluation of recovery processes. It also fits into the social accountability model as the assessment is based on community experience with the recovery process.

The purpose of this study is to explore communication of hazard-resistant construction techniques after disaster in the absence of outside influence. It further aims to unpack the barriers and drivers in the adoption of knowledge processes to identify strategic recommendations to enlarge adoption of safer construction practices by local construction actors.

This paper is based on an analysis of stakeholders’ perspectives during post-disaster reconstruction in the Philippines in the province of Busuanga after Typhoon Haiyan in 2013. Data were collected from six communities that received no external housing assistance, analyzing surveys from 220 households, 13 carpenters, 20 key actors coordinating reconstruction or recovery efforts, as well as 12 focus group discussions.

This research argues for a stronger role of governmental agencies, vocational training schools and engineers. Current communication of typhoon-resistant construction knowledge is ineffective to stimulate awareness, understanding and adoption by local construction actors and self-recovering households.

The analysis in this study focuses on a small sample of communities in the west of the Philippines that are not frequently affected by typhoons.

This is one of the few scholarly works in the Philippines focused on adoption of safer construction practices by community-based construction actors when technical housing assistance is absent.

Due to the unknown location, size and timing of disasters, the rapid response required by humanitarian operations (HO) faces high uncertainty and limited time to raise funds. These harsh realities make HO challenging. This study aims to systematically capture the complex dynamic relationships between operations in humanitarian settings.

To achieve this goal, the authors undertook a systematic review of the extant academic literature linking HO to system dynamics (SD) simulation.

The research reviews 88 papers to propose a taxonomy of different topics covered in the literature; a framework represented through a causal loop diagram (CLD) to summarise the taxonomy, offering a view of operational activities and their linkages before and after disasters; and a research agenda for future research avenues.

As the authors provide an adequate representation of reality, the findings can help decision makers understand the problems faced in HO and make more effective decisions.

While other reviews on the application of SD in HO have focused on specific subjects, the current research presents a broad view, summarising the main results of a comprehensive CLD.

Understanding the supply network of construction materials used to construct shelters in refugee camps, or during the reconstruction of communities, is important as it can reveal the intricate links between different stakeholders and the volumes and speeds of material flows to the end-user. Using social network analysis (SNA) enables another dimension to be analysed – the role of commonalities. This is likely to be particularly important when attempting to replace vernacular materials with higher-performing alternatives or when encouraging the use of non-vernacular methods. This paper aims to analyse the supply networks of four different disaster-relief situations.

Data were collected from interviews with 272 displaced (or formally displaced) families in Afghanistan, Bangladesh, Nepal and Turkey, often in difficult conditions.

The results show that the form of the supply networks was highly influenced by the nature/cause of the initial displacement, the geographical location, the local availability of materials and the degree of support/advice given by aid agencies and or governments. In addition, it was found that SNA could be used to indicate which strategies might work in a particular context and which might not, thereby potentially speeding up the delivery of novel solutions.

This study represents the first attempt in theorising and empirically investigating supply networks using SNA in a post-disaster reconstruction context. It is suggested that future studies might map the up-stream supply chain to include manufacturers and higher-order, out of country, suppliers. This would provide a complete picture of the origins of all materials and components in the supply network.

This is original research, and it aims to produce new knowledge.

The impact of COVID-19 on tourism destinations has been severe, but a future crisis is never far away. How communities can better prepare for disasters to come in the near future continues to be researched. This research aims to understand the tourism community’s responses to the COVID-19 pandemic and present the Tourism Community Resilience Model as a useful instrument to help communities better respond to disasters in the future.

This research uses a qualitative research approach which seeks to understand phenomena, events, social activities, attitudes, beliefs, perceptions and individual and group opinions that are dynamic in character in accordance with the situation in the field. Research primary data is in the form of Kuta Traditional Village local community responses in enduring the COVID-19 pandemic conducted between January and May 2022. These data were obtained through in-depth observations and interviews involving informants based on purposive sampling, including traditional community leaders, village officials, tourism actors (i.e. street vendors, tourist local guides, taxi drivers and art workers) and tourism community members. We selected the informants who are not only directly impacted by the pandemic, but also some of them have to survive during the pandemic because they do not have other job options. The results of previous research and government data concerning the pandemic and community resilience were needed as secondary data, which were obtained through a study of the literature. The data which had been obtained were further analysed based on the Interpretative Phenomenological Analysis (IPA) technique, which seeks to make meaning of something from the participants’ perspective and the researchers’ perspective as a result there occurs a cognition of a central position.

Based on findings from Bali, Indonesia, this resilience model for the tourism community was created in response to the difficulties and fortitude shown by the community during the COVID-19 pandemic. It comprises four key elements, namely the Local Wisdom Foundation, Resource Management, Government Contributions and External Community Support. These elements are all rooted in the concepts of niskala (spirituality) and sekala (real response); it is these elements that give the tourism community in the Kuta Traditional Village a unique approach, which can inspire other tourism destinations in other countries around the world.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

A tourism community resilience model based on local community responses has implications for the process of enriching academic research and community management practices in facing future crisis, particularly by involving local wisdom foundation.

The existence of the resilience model strengthens local community social cohesion, which has been made stronger by the bonds of culture and shared faith in facing disaster. This social cohesion then stimulates the strength of sustainable and long-term community collaboration in the post-pandemic period. For tourism businesses, having strong connections with the local communities is an important condition to thrive.

The value of this research is the Tourism Resilience Community Model, which is a helpful tool to optimise and improve future strategies for dealing with disasters. Illustrated by this Balinese example, this paper emphasises the importance of adding social factors such as niskala and sekala to existing community resilience models. Addressing these local characteristics is the innovative aspect of this paper and will help inspire communities around the world to prepare for future disasters better and build more sustainable and resilient tourism destinations elsewhere.

There is a large literature about crisis entrepreneurship, spanning from necessity, natural disaster and long-term conflict entrepreneurship. This paper situates pandemic entrepreneurship as a unique form of crisis entrepreneurship.

The authors utilize the Kirznerian and Schumpeterian theories of entrepreneurship to understand pandemic entrepreneurship. Using evidence from the US COVID-19 pandemic, the authors argue that pandemics impact both the “identification” and “action” moments of entrepreneurship.

The Kirznerian identification moment becomes much more uncertain for entrepreneurs because of fluctuating conditions, such as public health conditions, new potential variants of the virus causing the pandemic, shifting government mandates and rules and so forth. The Schumpeterian action moment becomes more challenging because of the necessity of physical distancing and because, generally, all crises raise the cost of entrepreneurial action. That said, the authors still document considerable entrepreneurship during pandemics as entrepreneurs adapt to the increased uncertainty and costs by rely upon local and customary knowledge.

This research finds that entrepreneurs, depending upon the crisis, face differing constraints. Specifically in times of pandemic, entrepreneurs face difficulty recognizing opportunities because of shifting conditions and acting upon opportunities because of financial and political constraints. This research thus implies that there are large opportunities for alleviation of such constraints if there were to be future variants or pandemics.

Practically speaking, this research affects how people study entrepreneurship. By recognizing the differing constraints that pandemic entrepreneurs face, the authors can better understand the last several years, and can also prepare better policy wise for future pandemics or further variants of COVID-19.

Socially, entrepreneurship can be a large factor in recovery from disasters and crises. By recognizing and perhaps alleviating constraints that pandemic entrepreneurs face, future crises could have better responses and recoveries.

Although several studies have examined entrepreneurship during the COVID-19 pandemic, the extant literature on pandemic entrepreneurship remains relatively underdeveloped and has not yet focused on what distinguishes pandemic entrepreneurship from other forms of crisis entrepreneurship. The authors highlight what pandemic entrepreneurship has in common with other forms of crisis entrepreneurship and pinpoint the various ways that is distinct.

The purpose of this paper is to investigate how public/private hybrid and ambiguous organizations played pivotal roles in a governmental programme of housing reconstruction following a major earthquake in central Italy in 2009. Venturing beyond the boundaries of institutional isomorphism and using a Foucauldian approach, the longitudinal analysis seeks to illuminate accounting and performance challenges and provide insights to the calculative techniques associated with evacuee housing.

In “act 1” this paper investigates the role of a consortium created during the recovery stage of the disaster to construct temporary housing. In “act 2” attention shifts to consortia established for the reconstruction of buildings in devastated communities. The total observation period is 11 years. 31 semi-structured interviews were conducted with 15 key-actors. A broad range of official documents was also consulted.

In the immediate aftermath of the earthquake a comprehensive reporting system was established to facilitate the construction of 19 new towns for 15,000 evacuees. The mix of accountants, engineers and architects who developed the system and a building prototype evidences the assembly of diverse calculative techniques by different experts and the de-territorialization of subject disciplines. During reconstruction technologies of government included the introduction of standardised systems and vocabularies that homogenised administrative procedures among diverse experts.

This paper provides academics and policymakers with insights to accounting, performance management and accountability in hybrid organizations in the largely unexplored realm of post-disaster evacuee housing. Further studies are needed to examine the politics of calculation in similar contexts.

This paper fills a gap in the literature by exploring the role played by individual experts working for hybrid organizations. Further, by exploring actual practices over an extended period of post-disaster recovery and reconstruction, the study highlights how experts intervened to solve problems at the meso-political level and at the micro-organizational level.

The total capacity of ambulances in metropolitan cities is often less than the post-disaster demand, especially in the case of disasters such as earthquakes. However, because earthquakes are a rare occurrence in these cities, it is unreasonable to maintain the ambulance capacity at a higher level than usual. Therefore, the effective use of ambulances is critical in saving human lives during such disasters. Thus, this paper aims to provide a method for determining how to transport the maximum number of disaster victims to hospitals on time.

The transportation-related disaster management problem is complex and dynamic. The practical solution needs decomposition and a fast algorithm for determining the next mission of a vehicle. The suggested method is a synthesis of mathematical modeling, scheduling theory, heuristic methods and the Voronoi diagram of geometry. This study presents new elements for the treatment, including new mathematical theorems and algorithms. In the proposed method, each hospital is responsible for a region determined by the Voronoi diagram. The region may change if a hospital becomes full. The ambulance vehicles work for hospitals. For every patient, there is an estimated deadline by which the person must reach the hospital to survive. The second part of the concept is the way of scheduling the vehicles. The objective is to transport the maximum number of patients on time. In terms of scheduling theory, this is a problem whose objective function is to minimize the sum of the unit penalties.

The Voronoi diagram can be effectively used for decomposing the complex problem. The mathematical model of transportation to one hospital is the P‖ΣU_j problem of scheduling theory. This study provides a new mathematical theorem to describe the structure of an algorithm that provides the optimal solution. This study introduces the notion of the partial oracle. This algorithmic tool helps to elaborate heuristic methods, which provide approximations to the precise method. The realization of the partial oracle with constructive elements and elements proves the nonexistence of any solution. This paper contains case studies of three hospitals in Tehran. The results are close to the best possible results that can be achieved. However, obtaining the optimal solution requires a long CPU time, even in the nondynamic case, because the problem P‖ΣU_j is NP-complete.

This research suggests good approximation because of the complexity of the problem. Researchers are encouraged to test the proposed propositions further. In addition, the problem in the dynamic environment needs more attention.

If a large-scale earthquake can be expected in a city, the city authorities should have a central control system of ambulances. This study presents a simple and efficient method for the post-disaster transport problem and decision-making. The security of the city can be improved by purchasing ambulances and using the proposed method to boost the effectiveness of post-disaster relief.

The population will be safer and more secure if the recommended measures are realized. The measures are important for any city situated in a region where the outbreak of a major earthquake is possible at any moment.

This paper fulfills an identified need to study the operations related to the transport of seriously injured people using emergency vehicles in the post-disaster period in an efficient way.