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The purpose of this study is to arrive at a conceptual roadmap that may be used to analyze the impacts of post-disaster relocation on a family’s dynamics and how this, in turn, affects their resilience to future disasters. Existing literature shows that the role of the family as a social unit is often overlooked in disaster research. Ultimately, this paper seeks to elevate the place of the family and its internal dynamics as a vital determinant of family resilience in a post-disaster relocation setting.

The study is a result of a systematic literature review of four interrelated topics, namely, families in disasters; post-disaster relocation; disaster resilience and family resilience.

The literature review resulted in an exploration of the experiences of families amidst post-disaster relocation. Such findings were linked towards potential impacts on family dynamics, which then resulted in the study’s proposed roadmap.

The study is a novel attempt at coming up with a conceptual framework that may guide future scholars in determining the effects of family dynamics on a family’s overall disaster resilience amid post-disaster relocation. It is hoped that the use of such a framework will guide policymakers in crafting institutional reforms that take into account family cohesion in disaster relocation efforts.

This study aims to construct an evaluation system for farmers’ livelihood capital in minority areas and evaluate the impact of relocation in response to climate change on farmers’ livelihood capital.

According to the characteristics of Yunnan minority areas, the livelihood capital of farmers in minority areas is divided into natural, physical, financial, social, human and cultural capital. The improved livelihood capital evaluation system measures farmers’ livelihood capital from 2015 to 2021. The net impact of relocation on farmers’ livelihood capital was separated using propensity score matching and the difference-in-difference (PSM-DID) method.

The shortage of livelihood capital makes it difficult for farmers to resist climate change, and the negative impacts of climate change further aggravate their livelihood vulnerability and reduce their livelihood capital. Relocation has dramatically increased the livelihood capital of farmers living in areas with poor natural conditions by 15.67% and has enhanced their ability to cope with climate change and realise sustainable livelihoods.

An improved livelihood capital evaluation system is constructed to realise the future localisation and development of livelihood capital research. The PSM-DID method was used to overcome endogeneity problems and sample selection bias of the policy evaluation methods. This study provides new ideas for academic research and policy formulation by integrating climate change, poverty governance and sustainable livelihoods.

In the realm of disaster risk reduction (DRR) efforts and disaster resilience discipline globally, the impacts of disasters at the family level – especially in terms of interpersonal relationships – remain largely understudied. This paper aims to explore the impacts of postdisaster relocation on the internal dynamics of families in Southville 7 in Calauan, Laguna, Philippines during the aftermath of the 2009 typhoon Ketsana, and endeavors to inform institutional policies to strengthen families’ disaster resilience.

Purposive sampling was applied in choosing the 20 participating families for the case study of Site III, Southville 7 – a relocation site housing more than 3,000 displaced families from Metro Manila during typhoon Ketsana. Data gathering methods such as semistructured interviews and personal observations were used during fieldwork, the findings of which were coded to reveal the study’s analytical themes.

Research findings reveal that the impacts of postdisaster relocation to family dynamics could be classified into seven broad categories: family composition and structure; members’ roles; parenting; parents’ marital relationship; familial relationship; family member’s personalities; and death and disabilities. The interplay between these impacts results in either stronger overall family cohesion or further relational ruptures.

By spotlighting the impacts of disasters on overall family dynamics in the context of postdisaster relocation, this study seeks to elevate the place of the family in the DRR and disaster resilience discourse.

The anticipation of organizational change and the transition process often creates uncertainty for employees and can lead to stress and anxiety. It is therefore essential for all organizations, especially those that operate in high-demand working environments, to support the well-being of staff throughout the change process.

Research on how employees respond to the organizational change of relocating to a new work space is limited. To fill this gap in the research, we present a case study examining the well-being of clinical and health care employees before and after a disruptive change: relocation in workplace facilities. In addition, factors that enabled successful change in this high-stress, high-demand working environment were investigated. Interviews were conducted with 20 participants before the relocation and 11 participants after relocation. Following an inductive approach, data were analyzed using thematic analysis to identify key themes.

Our findings suggest that a supportive team, inclusive leadership and a psychologically safe environment, may buffer negative employee well-being outcomes during disruptive organizational change.

This research contributes to the literature on successful organizational change in health care by highlighting the resources which support well-being throughout the change process and enabling the successful transition to a new facility.

The purpose of this paper is to analyze the new technologies that condition location strategy and enable the reindustrialization of European countries involved in the automotive industry. Business relocation has seen an upsurge in recent years. The development of the technologies linked to new mobility (connected, autonomous and electric vehicles) in European countries is increasing interest in relocating high value activities in origin countries to preserve high quality jobs and maintain competitive advantage.

The paper analyzes the changes in location factors and relocation trends through qualitative research based on a multiple case study methodology of first level suppliers in the automotive industry.

This study reveals the capacity technology has to reconfigure the automotive value chain and to change traditional location factors and relocation trends. The results show relevant differences between the traditional components production divisions characterized by offshoring processes, in a continuous decrease of activity and deindustrialization, and the new technologies divisions linked to new mobility with strong growth, reshoring of the high value activities, reindustrialization plans and links with research and development. For these new mobility divisions, protection of innovation to prevent the core knowledge transfer and strong collaboration with local research institutions are key in this highly technological location context.

The research analyzes the impact of new mobility technologies on the relocation processes in the automotive industry through an original approach based on the evolution of traditional suppliers with divisions linked to new mobility.

This chapter aims to critically analyse the implications that the national protectionist policies have on the global supply and value chains and the relocation of production. The analysis is based on the assumptions that the global economy is facing the possibility of decoupling of many trade connections, and this trend favours de-globalisation processes that have long been promoted by populism, nationalism and economic protectionism. It is concluded that global supply, production and value chains although being economically efficient are no longer any more secure under national protectionist policies, and therefore, the relocation of production processes is mainly due to the increase in the level of income and wages of the developing countries that are the destination and which reduce the advantages to relocate.

The objective of the present study was to investigate the impacts of familiarity with and awareness of Florida as a snowbird destination, and satisfaction with the snowbird experience on Florida's image and on snowbirds' permanent relocation intention to Florida. Additionally, the influence of Florida's image on snowbirds' behavioral intention to move to Florida permanently was investigated.

Data gathered from 304 snowbirds were utilized in employing structural equation modeling to assess the research model.

The study results showed that awareness of and familiarity with Florida as a snowbird destination, and satisfaction with the snowbird experience significantly influenced participants' image perceptions of Florida. In addition, awareness of and familiarity with Florida as a snowbird destination, and participants' image of Florida had a significant influence on snowbirds' intentions to move to Florida permanently.

The findings of the study provide significant insights for destination marketing and management organizations and local policymakers in formulating and enacting policies in snowbird destinations to efficiently address migration trends.

This study is one of the first papers to empirically investigate and successfully construct a comprehensive model that explicate the determinants of snowbird tourists' permanent relocation intention.

Many low-income students are unable to participate in internship programs because they lack financial resources to pay for the cost of housing and relocating to the internship site. This paper examines the types of benefits or supports related to housing and relocation that employers are providing to paid interns.

This paper uses content analysis to examine the types of supports included in job advertisements posted on Handshake, the largest early career networking platform in the US.

During the period studied, less than 11% of internships advertised indicated that the employer was willing to provide housing or relocation support, only 107 employers across the US. Only 53 employers were willing to provide free company-sponsored housing. Internships offering support are clustered in the fields of business, engineering and research, providing almost no internships for students in other fields.

Given the high cost of housing, if a student does not have access to considerable financial resources, they are unlikely to participate in an internship or will be limited to a position in their commutable area. To level the playing field among all students, employers need to offer free or subsidized company-sponsored housing to student interns. While some employers do offer support, the number of students needing support far exceeds the number of internships available.

While there is information on what students identify as barriers, there is no accurate picture of employer supports available to mitigate these barriers. This exploratory analysis is the first to examine the benefits and supports employers are providing to paid interns.

Untimely responses to emergency situations in urban areas contribute to a rising mortality rate and impact society's primary capital. The efficient dispatch and relocation of ambulances pose operational and momentary challenges, necessitating an optimal policy based on the system's real-time status. While previous studies have addressed these concerns, limited attention has been given to the optimal allocation of technicians to respond to emergency situation and minimize overall system costs.

In this paper, a bi-objective mathematical model is proposed to maximize system coverage and enable flexible movement across bases for location, dispatch and relocation of ambulances. Ambulances relocation involves two key decisions: (1) allocating ambulances to bases after completing services and (2) deciding to change the current ambulance location among existing bases to potentially improve response times to future emergencies. The model also considers the varying capabilities of technicians for proper allocation in emergency situations.

The Augmented Epsilon-Constrained (AEC) method is employed to solve the proposed model for small-sized problem. Due to the NP-Hardness of the model, the NSGA-II and MOPSO metaheuristic algorithms are utilized to obtain efficient solutions for large-sized problems. The findings demonstrate the superiority of the MOPSO algorithm.

This study can be useful for emergency medical centers and healthcare companies in providing more effective responses to emergency situations by sending technicians and ambulances.

In this study, a two-objective mathematical model is developed for ambulance location and dispatch and solved by using the AEC method as well as the NSGA-II and MOPSO metaheuristic algorithms. The mathematical model encompasses three primary types of decision-making: (1) Allocating ambulances to bases after completing their service, (2) deciding to relocate the current ambulance among existing bases to potentially enhance response times to future emergencies and (3) considering the diverse abilities of technicians for accurate allocation to emergency situations.

This study investigates how firms’ awareness of sustainability affects the revision of their internationalization strategy. Adopting a resource-based view (RBV) approach, the authors argue that sustainable-oriented firms have a higher propensity to de-internationalize (i.e., to go back to their home country) when confronted with the need to relocate foreign manufacturing subsidiaries, as the shortening of value chains would allow the reduction of transportation emissions and enhanced corporate image as green-oriented entities. Furthermore, the authors explore the role exerted by a stringent regulatory setting in the home country on the likelihood of de-internationalization. The empirical test conducted on a sample of relocations performed across European nations in 2002–2014 reveals that multinational enterprises (MNEs) – regardless of their sustainability orientation – have a higher probability to de-internationalize when their home countries have strict institutional contexts in place.