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This paper aims to examine how neighborhood characteristics (income, population composition) and individual building attributes (ownership) affect the recovery period of single-family housing and determine their correlations with property abandonment and changes in residential land use after natural disaster.

This empirical study focuses on Valley Fire, one of the California’s most destructive wildfires in 2015, and uses assessor, community, demographic and sales data to measure recovery of a panel of single-family houses located in Lake County in California between 2012 and 2020. Several regression and correlation models will be developed to test different hypotheses.

This study found that: Recovery period is longer than what expected in most existing literature; ownership status significantly affects recovery period; income level is not a significant factor for shortening the recovery period; and minorities may need more assistance for constant recovery. Findings of this research will help identify at risk communities to avoid uneven housing recovery and lower the rate of property abandonment.

Housing recovery is key to revitalizing communities following major natural disasters. The sociodemographic characteristics of each neighborhood have significant impact on the duration of recovery and possible property abandonment. Understanding how home and neighborhood characteristics affect recovery will help planners prevent long-lasting adverse effects of natural disasters.

The purpose of this study is to review the role of knowledge management (KM) in disaster management and crisis. Disaster causes many detrimental impacts on human lives through loss of life and damage to properties. KM has been shown to dampen the impact of the disaster on the utilization of knowledge among agencies involved and the local communities impacted by disasters.

Through a bibliometric methodology (co-citation, bibliographic coupling and co-word analysis), this study presents significant themes in the past, current and future predictions on the role of KM in disaster management. In this review paper, 437 publications were retrieved from the Web of Science and analyzed through VOSviewer software to visualize and explore the knowledge map on the subject domain.

Findings suggest that the significant themes derived are centralized to disaster preparedness during disaster and disaster postrecovery. This review presents a state-of-art bibliometric analysis of the crucial role of KM in building networks and interconnection among relevant players and stakeholders involved in disaster management.

The main implication of this study is how the authorities, stakeholders and local community can integrate the KM system within the three stages of disasters and the crucial role of technologies and social media in facilitating disaster management.

To the best of the authors’ knowledge, this is the first study to present a bibliometric analysis in mapping KM’s past, present and future trends in disaster management.

This study aims to conceptualize the dimensions of resilient leadership and develop the resilient leadership scale (RLS) through three studies.

In Study 1, based on interviews with 77 leaders and 8 junior employees, a seven-factor resilient leadership model was constructed. In Study 2, exploratory factor analysis (n = 237) was conducted to refine the initial items. In Study 3, confirmatory factor analysis (n = 610) was performed to validate the dimensional structure identified in Study 2, and different types of validity of the RLS were assessed.

The validated RLS composed of seven dimensions: contingency planning, improvisation, adaptive instructing, contingency control, emergency care, adjustment recovery and mutual growth. The scale showed desirable measurement qualities in terms of reliability and validity. Resilient leadership and its dimensions significantly impact employee turnover intentions and employee resilience.

This research contributes to the literature on the resilience of hospitality and tourism enterprises and enriches the research scope and theoretical framework of resilient leadership.

This research revealed the resilient leadership responses to crisis in hospitality and tourism enterprises with practical implications for tourism enterprise leaders to deal with major crisis.

This paper analyses the impact of the COVID-19 pandemic on Myanmar’s tourism industry, identifying challenges and innovations, and predicting future trends to foster a resilient and sustainable sector.

The study uses a comprehensive analysis of tourism trends, government and private sector responses and changes in tourist behaviour, employing data, case studies and policy reviews.

The pandemic significantly disrupted Myanmar’s tourism, causing economic losses and shifts towards sustainable, outdoor and cultural experiences. Effective strategies by the government and private sector are aiding recovery and suggesting a more diverse and resilient future.

The research is limited by the availability of data during the pandemic, highlighting the need for ongoing strategy adaptation.

The study recommends digitalization, health protocols, domestic tourism focus and sustainable practices for a robust post-pandemic industry.

The study emphasizes the pandemic’s social impact on tourism-dependent communities and the need for inclusive, sustainable tourism practices.

Itprovides unique insights into COVID-19’s multifaceted impact on Myanmar’s tourism, offering valuable information for future sector strategies.

This study advocates the importance of taking an evolutionary perspective in the strategic configuration of closed-loop supply chains (CLSC) in the transition to a circular economy. Building on the supply chain management and industrial dynamics research domains, an evolutionary analytical framework was developed and applied in the empirical context of the ongoing industrial transition to e-mobility.

This study is designed as an in-depth exploratory case study to capture the multi-layer dynamic complexities and their interplay in CSLC development. The empirical investigation was based on two-year interactions between the authors and various departments in a leading European heavy vehicle manufacturer. The proposed evolutionary analytical framework was used for investigating the dynamics of four CLSC configurations through ten possible trajectories.

The findings demonstrate that the evolution of each CLSC configuration comes with multiple challenges and requirements and point out the necessity for the co-development of technologies, product design and production, and infrastructure through long-term relationships among key supply chain actors. However, this evolutionary journey is associated with multiple dilemmas caused by uncertainties in the market and technology developments. All these factors were properly captured and critically analyzed, along with their interactions, thanks to the constructs included in the proposed evolutionary analytical framework.

The proposed evolutionary framework is applicable for examination of SC transformation in the context of market and technology development, and is particularly relevant for transitioning from linear SC to CLSC. The framework offers a single actor perspective, as it does not directly tackle dynamics and effects of actions taken by SC actors.

The developed framework can support SC managers in identifying, framing, and comparing alternative strategies for CLSC configuration in the transition process.

This study proposes the framework for understanding and guiding the evolutionary process of CLSC development. Its uniqueness lies in the integration of concepts from innovation and evolutionary theories coming from industrial dynamics and SCM literature streams.

To assess which partnerships were most critical during the recovery planning process following Hurricanes Maria and Irma. We discuss the roles and impact of different types of partners, barriers and facilitators to partnerships and lessons in collaboration during the development of the economic and disaster recovery plan for Puerto Rico.

The Homeland Security Operational Analysis Center (HSOAC) was tasked with assisting the Puerto Rican government with an assessment of damages from Hurricanes Maria and Irma and the development of the Recovery Plan. During the process, a small team compiled and coded a database of meetings with non-HSOAC partners. The team was divided into sector teams that mirrored FEMA’s Recovery Support Functions. Each sector completed two surveys identifying high impact partners and their roles and contributions, as well as barriers and facilitators to partnerships.

A total of 1,382 engagements were recorded across all sectors over seven months. The most frequently identified high impact partners were federal and Puerto Rican governmental organizations partners. NGOs and nonprofits were noted as key partners in obtaining community perspective. Sector teams cited a lack of trust and difficulty identifying partners as barriers to partner engagement. Given the expedited nature of disaster response, establishing partnerships before disasters occur may help facilitate community input. Early networking, increased transparency and defining roles and responsibilities may increase trust and effectiveness among partnerships.

To our knowledge, this is one of the few studies that quantifies and illustrates the partnerships formed and their contributions during recovery planning, and lessons learned.

Earthquake stressful events cause many consequences and need for survivors. Housing reconstruction is one of the most urgent needs; due to traumatic experiences, dialectical changes in people–place relationships occur.

The present study uses the Poe method and Q methodology to identify the hidden dimensions of trauma-informed housing reconstruction. A questionnaire with 74 items on the Likert scale was developed based on indicative Poe. It was completed by the purposive sampling method by Bam households. The influential factors in housing reconstruction with a psychological recovery approach were extracted by q-factor analysis in communities with different traumatic experiences.

According to the findings, first, people who had experienced complete home destruction; severe physical injuries; loss of family members and relatives; and were trapped under the earthquake rubble have different place-based needs in housing reconstruction for coping with fears and environmental concerns, protective behaviors, safety perception and as result safety reassurance. Second, regardless of the traumatic experience and losses, reconstruction acceleration and economic-social dignity have a positive effect on the communities’ psychological recovery.

It is noteworthy that housing reconstruction with a psychological recovery approach has two basic aspects. Although some independent factors of traumatic experiences will be efficient in this approach, it was found that the type of earthquake traumatic experiences will also be effective in the survivors’ place-based needs and biases.

Evidence suggests supported living can improve functioning and reduce need. However, its lack of a clear definition has presented significant challenges to establishing a definitive evaluation of its efficacy. This study aims to evaluate the efficacy of a defined model of supported living using in terms of reductions made to aspects of clinical and social recovery.

A naturalistic, non-controlled assessment was conducting using using the Camberwell Assessment of Need Clinical Scale with a sample of adults with severe and enduring mental illness residing with a UK-based mental health company at 1 of 12 UK locations.

Analysis regarding preliminary outcomes relating to health and social need is presented with comparison between admission and six-months post-admission (N = 90). Additional analysis relating to outcomes at 12 months is also provided (N = 39). Significant outcomes are noted at both timepoints in terms of reducing unmet need and levels of formal and informal help given/required during tenancy.

The findings support that, even in the absence of clinical recovery, opportunities exist to make meaningful and valuable improvements to unmet need and functional independence, with implications for clinical practice in the context of supported living.

The findings provide encouraging early indications of the benefits of the model in making meaningful reductions to functional and psychological needs in individuals with severe and enduring mental illness.

Purpose: A psychiatric illness called burnout is caused by emotional tiredness, cynicism, and a decreased sense of personal accomplishment. For police officers to handle and adjust to difficult, stressful, and sometimes traumatic events, resilience or recovery during downtime are considered critical capacities. The study aims to investigate the association between resilience or recovery experiences and job burnout among police officers and to ascertain if recovery experiences during off-job time can lessen the harmful impacts of burnout.

Design/methodology: The data were gathered from police officers in the South zone of Kerala state using a structured questionnaire. The police force may have favourable effects on economic development if it embraces resilience-building concepts and develops into a more resilient enterprise. The study used convenience sampling, and the researchers received 300 responses. Karl Pearson correlation and simple regression analysis are used to test hypotheses.

Findings: Findings suggest an association between burnout and resilience or recovery experience measures during off-job time among police officers in Kerala. It is found that recovery experiences can buffer the adverse effects of job stress and burnout.

Practical implications: The results of this study could guide the design of initiatives and programmes that enhance police officers’ performance and satisfaction while also encouraging their general well-being. To further reduce police burnout, implement a programme that aims to improve occupational stress recovery at the organisational level.

Originality/value: It is crucial to evaluate police officers’ burnout and its relationship to resiliency or recovery in their spare time. This study offers unique insights into certain off-the-job behaviours or activities that link to lower levels of burnout; this information could guide programmes or interventions intended to help police personnel.