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This study aims to demonstrate how governmental authorities can take interorganizational network responses to address unexpected situations developed by the breakdown of critical infrastructure, such as communication failure in a hyperconnected society.

This study uses social network analysis to investigate the performance of interorganizational response networks regarding the 2018 KT network blackout, a failure of telecommunication facility, compared to the planned network.

The national fire agency was the most prominent actor in the actual interorganizational network, while the actor was not significant in the planned network in addressing unexpected needs. Moreover, top government authorities were involved in the actual response network because of the national attention on the breakdown of the infrastructure as a focusing event.

Unexpected conditions in the actual response to a technological disaster, such as a critical infrastructure (CI) breakdown, require the involvement of emerging or non-significant actors in accordance with the findings related to other types of disasters. Particularly, communication failure in a hyperconnected society may involve prominent government authorities in the actual interorganizational response because of the event's broad and severe impact on the functions of society.

Emotions, understood as evolving mental states, are pivotal in shaping individuals“' decision-making, especially in ambiguous information evaluation, probability estimation of events, and causality analysis. Public–private partnership (PPP) projects represent a confluence of “economic–environmental–social” dimensions, wherein stakeholder behavior follows the sequential progression of “cognition–emotion–action.” Consequently, comprehending the effects of emotional shifts on stakeholder's decision-making processes is vital to fostering the sustainability of PPP projects.

The paper utilizes rank-dependent expected utility and evolutionary game theory to systematically examine the influence of emotional factors on stakeholders' behavior and decision-making processes within PPP projects. The paper integrates three emotional state functions—optimism, pessimism and rationality—into the PPP framework, highlighting the intricate interactions among the government, private sector, surrounding public and the media. Furthermore, the paper amalgamates the evolutionary pathways of environmental rights incidents with the media's role. Through equilibrium analysis and numerical simulation, the paper delves into the diverse interplay of emotions across different phases of the environmental rights incident, assessing the impact of these emotions on the evolutionary game's equilibrium results.

Emotions significantly influence the microlevel decisions of PPP stakeholders, adapting continually based on event dynamics and media influences. When the private sector demonstrates optimism and the surrounding public leans toward rationality or pessimism, the likelihood of the private sector engaging in speculative behavior escalates, while the surrounding public refrains from adopting a supervisory strategy. Conversely, when the private sector is pessimistic and the public is optimistic, the system fails to evolve a stable strategy. However, when government regulation intensifies, the private sector opts for a nonspeculative strategy, and the surrounding public adopts a supervisory strategy. Under these conditions, the system attains a relatively optimal state of equilibrium.

The paper develops a game model to examine the evolutionary dynamics between the surrounding public and private sectors concerning environmental rights protection in waste incineration PPP projects. It illuminates the nature of the conflicting interests among project participants, delves into the impact of emotional factors on their decision-making processes and offers crucial perspectives for the governance of such partnerships. Furthermore, this paper provides substantive recommendations for emotional oversight to enhance governance efficacy.

Tourism recovery after the pandemic has failed to take the path leading to sensitivity and humaneness at destination level. This chapter argues that to open this path, we need to confront the belief that tourists are self-centred, fun-driven and cheating individuals. This view on tourists and more generally human beings is central to the neoliberal understanding of consumers. It has moreover taken a strong grasp on the mind of economists, politicians, academics and the public at large.

To counteract this idea, I call upon Aristotle's discussion of friendship. In Nicomachean Ethics, Aristotle distinguishes between three forms of friendship: of utility, of pleasure, and of goodwill. Utility implies a relationship where people befriend each other in virtue of some good or service that they get or expect to get from each other. Friendships of utility, therefore, imply reciprocation. Friendships of pleasure can also be understood as a form of reciprocal altruism. However, friendships of goodwill are different because they are felt for others for their own sake and not in expectation of a favour in return. Friendships of goodwill include therefore others who may not be able to reciprocate, such as tourists staying only a short time at a destination. Looking through the lens of friendships of goodwill, one could argue that all tourists, including short-stay visitors, will be friendly and caring towards their hosts.

This chapter explores the soundness of friendships of goodwill in the light of more recent research on human nature. It also discusses its implications for our understanding of human beings, the relationship between hosts and guests, and ultimately the opportunity to steer tourism along a more sensitive, human and sustainable path.

This study proposes strategies for vaccine center allocation for coronavirus disease (COVID) vaccine by determining the number of vaccination stations required for the vaccination drive, location of vaccination station, assignment of demand group to vaccination station, allocation of the scarce medical professional teams to station and number of optimal days a vaccination station to be functional in a week.

The authors propose a mixed-integer nonlinear programming model. However, to handle nonlinearity, the authors devise a heuristic and then propose a two-stage mixed-integer linear programming (MILP) formulation to optimize the allocation of vaccination centers or stations to demand groups in the first stage and the allocation of vaccination centers to cold storage links in the second stage. The first stage optimizes the cost and average distance traveled by people to reach the vaccination center, whereas the second stage optimizes the vaccine’s holding and storage and transportation cost by efficiently allocating cold storage links to the centers.

The model is studied for the real-world case of Chandigarh, India. The results obtained validate that the proposed approach can immensely help government agencies and policymaking body for a successful vaccination drive. The model tries to find a tradeoff between loss due to underutilized medical teams and the distance traveled by a demand group to get the vaccination.

To the best of our knowledge, there are hardly any studies on a vaccination program at such a scale due to sudden outbreaks such as Covid-19.

The paper seeks to explore the drivers of disaster planning in African-American households. While the paper is exploratory, the authors attempt to dialogue with substantial theoretical and applied research around vulnerability and disaster. Race, ethnicity and vulnerability are issues deeply entangled with American disaster preparedness and response. In this study, the authors hope to illuminate the threads which bind them together and contribute to a more nuanced understanding of the relationship between race, ethnicity, class and preparedness.

Data for this project come from a disaster planning question placed on the 2020 Collaborative Multiracial Post-Election Survey (CMPS). The authors analyze a split sample of around 5,000 African-American households descriptively and with multinomial logistic regression.

Disaster planning among African-American households is a product of past experiences, concern about other hazards, social trust and gender identity. These results are similar to other findings within the study of household preparedness and help to advance the understanding of predictors within the African-American community. Key drivers such as income, education level, gender identity, social trust and perceptions of other risks are consistent with previous studies.

This project is the first to examine issues of disaster planning utilizing a national sample of African-American households via the one-of-a-kind 2020 CMPS.

This chapter is part of a strand of studies dedicated to tourism events and territorial marketing strategies and focuses on the role of communication in an event-based strategy. Events can attract tourist flows, spread the territorial image, stimulate investment, and contribute to the territorial brand. Therefore, their role becomes increasingly important for an effective territorial and tourism marketing strategy. In the events sector, communication plays a key role in shaping marketing policies, which increasingly involve interaction between actors and the use of technology. To build and communicate an event is essential to implement social media marketing strategies that foster sharing of content that significantly influences user behavior. However, the academic literature on the role of social media in event management is limited. Therefore, this study has a twofold objective: to conduct a review of the literature to systematize and contextualize existing knowledge and to identify the main benefits and risks involved in the use of social networks in events.

With the advent of the second wave of COVID-19 pandemic, there is a need to analyse the scenario of panic buying (PB) behaviour of the customers which was evident in the first wave. This paper aims to examine the PB scenario as well as the moderating effect of past buying experience (PBE) on PB in the second wave of the COVID-19 pandemic.

This study is based on the theories of stimulus–organism–response model and the competitive arousal model. Based on these theories, this paper investigates how panic situation created by external stimuli such as perceived scarcity (PS), perceived risk (PR), news in media (NM) and social learning affect the perceived arousal (PA) among people which in turn influence the PB behaviour of customers. Data were collected from 253 customers from different parts of India. Structural equation modelling is used to analyse the moderating effect of PBE on the PB in the second wave of COVID-19 pandemic.

The results indicate that the PS, PR and NM continue to be strong predictors of a buyer for PA. However, the PB is not reinforced by the moderation effect of PBE.

This paper investigates the consumers’ PB behaviours in the wake of third wave of COVID-19 pandemic which add to the existing literature of COVID-19 pandemic. Moreover, this study also examines how previous buying experience can moderate the PB behaviour of the customers in subsequent phases of COVID-19 pandemic. This supports the potential effectiveness of self-regulation as an intervention strategy for reducing PB behaviours during the COVID-19 pandemic.

This study emphasises the impact of external stimuli like PS, PR and media coverage on PB behaviour, marketers and policymakers should manage to avoid triggers. Although PBE may not moderate PB during a pandemic, it can play a significant role in future buying behaviour. Anticipating potential triggers and designing effective marketing strategies that cater to customers' needs can help manage PB behaviour during disasters or pandemics. In addition, promoting conscious consumption awareness and self-regulation practices among customers can help manage PB behaviour, benefit the environment and society and make customers more responsible buyers.

To the best of the authors’ knowledge, this study examines the PB behaviour of customers during the second wave of COVID-19 pandemic for the first time. This study also investigates the moderating effect of PBE on the PB behaviour of customers during a pandemic which is new and significant that extends the literature on PB behaviour during a pandemic.

The purpose of this study is to provide the location of natural disasters that are poured into maps by extracting Twitter data. The Twitter text is extracted by using named entity recognition (NER) with six classes hierarchy location in Indonesia. Moreover, the tweet then is classified into eight classes of natural disasters using the support vector machine (SVM). Overall, the system is able to classify tweet and mapping the position of the content tweet.

This research builds a model to map the geolocation of tweet data using NER. This research uses six classes of NER which is based on region Indonesia. This data is then classified into eight classes of natural disasters using the SVM.

Experiment results demonstrate that the proposed NER with six special classes based on the regional level in Indonesia is able to map the location of the disaster based on data Twitter. The results also show good performance in geocoding such as match rate, match score and match type. Moreover, with SVM, this study can also classify tweet into eight classes of types of natural disasters specifically for the Indonesian region, which originate from the tweets collected.

This study implements in Indonesia region.

(a)NER with six classes is used to create a location classification model with StanfordNER and ArcGIS tools. The use of six location classes is based on the Indonesia regional which has the large area. Hence, it has many levels in its regional location, such as province, district/city, sub-district, village, road and place names. (b) SVM is used to classify natural disasters. Classification of types of natural disasters is divided into eight: floods, earthquakes, landslides, tsunamis, hurricanes, forest fires, droughts and volcanic eruptions.

This study aims to develop an extended social attachment model for expatriates, integrating a multiple stakeholder perspective, to understand evacuation decisions during disasters.

Through interviews with 12 Tokyo-based expatriates who experienced the 2011 Tohoku earthquake, tsunami and nuclear disasters, this study collects the lived experiences of a diverse set of expatriates. This data is analyzed abductively to map relevant evacuation factors and to propose a reaction typology.

While the 2011 Tohoku disasters caused regional destruction and fears of nuclear fallout, Tokyo remained largely unscathed. Still, many expatriates based in Tokyo chose to leave the country. Evacuation decisions were shaped by an interplay of threat assessment, location of attachment figures and cross-cultural adjustment. The study also discusses the influence of expatriate types.

Disaster planning is often overlooked or designed primarily with host country nationals in mind. Expatriates often lack the disaster experience and readiness of host country nationals in disaster-prone regions in Asia and beyond, and thus might need special attention when disaster strikes. This study provides advice for how to do so.

By unpacking the under-researched and complex phenomenon of expatriate reactions to disasters, this study contributes to the fields of international human resource and disaster management. Specifically, seven proposition on casual links leading to expatriate evacuation are suggested, paving the way for future research.

This paper proposes a way of reflexing on how we think within critical disaster studies. It focuses on the biases and unthought dimensions of two concepts – resilience and development – and reflects on the relationship between theory and practice in critical disaster studies.

Premised on the idea of epistemic reflexivity developed by Pierre Bourdieu, and drawing on previous research, this theoretical article analyses two conceptual biases and shortcomings of disaster studies: how resilience builds on certain agency; and how development assumes certain political imagination.

The article argues that critical disaster scholars must reflect on their own intellectual practice, including the origin of concepts and what they do. This is exemplified by a description of how the idea of resistance is intimately connected to that of resilience, and by showing that we must go beyond the capitalist realism that typically underlies development and risk creation. The theoretical advancement of our field can provide ways of thinking about the premises of many of our concepts.

The paper offers an invitation for disaster researchers to engage with critical thought and meta-theoretical reflexions. To think profoundly about our concepts is a necessary first step to developing critical scholarship. Epistemic reflexivity in critical disaster studies therefore provides an interesting avenue by which to liberate the field from overly technocratic approaches and develop its own criticality.