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The purpose of this paper is to propose a practice framework for disaster resilience education (DRE) with homeless communities.

A survey with 163 homeless service providers together with 45 interviews with people with a lived experience of homelessness, homeless service providers and emergency services.

Key principles for DRE with the homeless community were: safe relationships, collaboration, strengths-based, empowerment, providing essential resources, and inclusivity. Recommendations for the design of DRE foregrounded partnerships and knowledge sharing between the homeless community and emergency services. Locally relevant risk information and material supports, together with sharing stories and eliciting values were important considerations for developing DRE content. Preferred delivery methods were outreach to build on trusted relationships and existing services, together with written material in large font emphasising images for distribution through drop in centres, food vans and new tenancy packages.

The key principles, together with the detailed suggestions outlining ways to translate the principles into actions, can be used by emergency and homeless services to develop effective DRE materials and programmes.

The proposed DRE framework aims to not only enhance disaster risk knowledge, but also address the exclusion, isolation and disempowerment experienced by people who are homeless. By building on an effective intervention models within homeless services (Trauma-Informed Care) DRE can enhance the social connection, self-confidence and well-being goals of homeless services and clients.

The DRE framework is based on the first comprehensive Australian research with homeless services, clients and emergency managers on best practice for improving extreme weather preparedness in the homeless community.

Children can play an active and valuable role to minimise disaster risks and vulnerabilities. Yet, peer-reviewed literature on child participation in Disaster Resilience Education (DRE) is lacking. This knowledge gap is larger in low- and middle-income countries, especially related to vulnerable communities. The current study explores how child participation in developing and delivering a DRE intervention is associated with their mental well-being and resilience.

This qualitative study is part of a larger project where a DRE intervention was co-developed and delivered by children in the informal settlements in Chennai, India, using a participatory approach. This project used qualitative methods including interviews and focus group discussions with children who co-developed the intervention, their parents and staff members of the collaborating Non-Government Organisation (NGO) to understand their experiences and inform its processes.

The children involved in the development and delivery of the intervention reported that not only did they learn the skills necessary to prepare for hazards in the future, it also increased their confidence, self-worth and self-efficacy. This was also observed by parents and staff members of the collaborating NGO. They expressed pride towards the children and applauded their ability to communicate key Disaster Risk Reduction (DRR) messages with assertiveness.

There is a dearth of empirical papers on child participation in DRR activities, and this study fills some of that gap by reporting the perceived impact of children's participation on their mental well-being and resilience. Furthermore, this study can act as a roadmap for researchers aiming to do action research with children.

DRR is more effective when all stakeholders, especially the affected and at-risk children, and communities are closely involved in structuring, planning, developing and delivering key disaster preparedness messages. This study serves to show that children's participation in DRR activities not only impacts their preparedness but that it helps children in disaster recovery as well, in addition to building their resilience and overall improvement in their mental well-being.

Given the participatory nature of this study, it involves children closely in the development and delivery of DRE intervention. The communities involved in this study had complex vulnerabilities including poverty, marginalisation and based in a low-and-middle income country, India. Oftentimes, these communities are not represented in scientific literature, and this study attempts to bridge that gap.

This study presents a multi-stakeholder perspective on child participation in its potential impact on children's mental well-being and resilience. The DRE intervention was co-developed and delivered by children in the community making it unique in its development process as well as the context it was developed in – informal settlements in Chennai, India.

This article summarises what the Department of Health's (2005) Delivering Race Equality (DRE) agenda in mental health services set out to achieve and the background to this. The article then provides commentary on the Central and North West London NHS Foundation Trust's experiences while acting as one of the 18 focused implementation sites (FIS) created as part of the Department of Health's five‐year Delivering Race Equality Action Plan and highlights the recommendations that developed out of this work and have national application.

Comments that Pen y Dre is a school in a socially deprived area of South Wales and that through their strategy of “Raising Achievement” they have succeeded in doubling their examination results and raising the self‐esteem of the school and local area over the past two years. Notes that the winning of the Wales Quality Award for Education in November 1995 was another important milestone for the school in its drive for continuous improvement, seamlessly building quality into every aspect of the school. Highlights some of the methods that the school has employed to implement its commitment to Raising Achievement. Points out that from this assessment, it will become apparent that many of the methods employed in industry are equally applicable to the educational environment ‐ indeed, many of the processes evident in the school are developed well beyond many currently employed as good business practice in other sectors. Notes that the process of assessment for the Wales Quality Award drew out a number of valuable lessons for both the school and the members of the assessment team. Discusses these points which are applicable beyond the confines of the school gates and should interest many in the educational, business and industrial sectors.

This study aims to propose a non-linear model to describe the effect of macroeconomic shocks on delinquency rates of three kinds of bank loans. Indeed, a wealth of literature has recognized significant evidence of the linkage between macro conditions and credit vulnerability, perceiving the importance of the high amount of bad loans for economic stagnation and financial vulnerability.

Generally, this linkage was represented by linear relationships, but the strong dependence of bank loan default on the economic cycle, subject to changes in regime, could suggest non-linear models as more appropriate. Indeed, macroeconomic variables affect the performance of bank’s portfolio loan, but such a relationship is subject to changes disturbing the stability of parameters along the time. This study is an attempt to model three different kinds of bank loan defaults and to forecast them in the case of the USA, detecting non-linear and asymmetric behaviors by the adoption of a Markov-switching (MS) approach.

Comparing it with the classical linear model, the authors identify evidence for the presence of regimes and asymmetries, changing in correspondence of the recession periods during the span of 1987–2017.

The data are at a quarterly frequency, and more observations and more extended research periods could ameliorate the MS technique.

The good forecasting performance of this model could be applied by authorities to fine-tune their policies and deal with different types of loans and to diversify strategies during the different economic trends. In addition, bank management can refer to the performance of macroeconomic conditions to predict the performance of their bad loans.

The authors show a clear outperformance of the MS model concerning the linear one.

It is an arduous process for corporations to determine if social action advertising is a complementary fit with their respective brands. This study aims to explore opportunities and disadvantages when brands consider cause-related partnerships as part of their overall marketing strategy. There are motivators and detractors related to social actions promoted by brands. It is essential for organizations, institutions and corporations to better understand if, or when, to use advertising that contributes to the social good.

Phase one of the study was a qualitative analysis conducted through personal interviews. Coded passages from interviews were aggregated into themes, which later defined ten social action advertising measures. The second phase in the study was a quantitative analysis (N = 506) that tested consumer involvement with the social action advertisement “You Love Me.” The spot was designed for the Dr. Dre Beats brand, in response to the George Floyd murder in 2020.

Brands need to carefully examine their own histories, political associations and concern for all consumer segments, prior to evoking social change. Differentiations arising from political views and gender identity are discussed. Regressions indicate “social ads that use stereotypes” was the key significant predictor of emotional involvement. Consumers feeling “respected and represented in social action ads” was the key significant predictor of fact-based cognitive involvement. “Social action ads distorted through virtue signaling” were 38% more likely to effect brand purchase when consumers viewed the social action ad.

This is a nonfunded research study. Respondents who participated in interviews, and those selected for data collection, were solicited through convenience and judgmental nonprobability sampling. These data are racially and financially biased. Seventy-six percent of respondents in the racial variable were white; 51% stated they were “wealthy and have a lot of assets.” Neither variable is representative of the general population. In the future, researchers should collect a nonbiased stratified probability sample that would more closely reflect the general population and consumer audience.

This paper builds on the recommendations of Farrukh et al. (2021) who call for more published research in the areas of human rights violations and social change. The results of this study represent a cautionary tale. Political dogma within a polarized society has created pressure for chief marketing officers to integrate political values into brand values. The risk of creating adversarial factions has created a risky environment for brand developers and strategists (Mahoney, 2022).

The development of mobile applications in multiple clouds environment is a complex task because of the lack of platform standards in cloud computing and mobile computing. The source code involves various proprietary programming libraries for different platforms. However, functionalities are inevitably changed over time, as well as the platform. Therefore, a great deal of development effort is required, when changes need to be made at functional and platform level. This paper aims to propose SIMON, a framework that eases complexity of the development to support software evolution.

SIMON shields the developer from the complexity of mobile and cloud platforms in the development of mobile applications in multiple clouds environment. The framework uses model of application design to automate the development and support execution of mobile applications in system environment that needs integration to the number of data sources located on multiple clouds. The framework is composed of prefabricated components that support function changeability and platform adaptability.

The framework is examined with the development of a sample application. After it is evaluated with scenarios that involve changing at functional and platform levels, the result shows significant reducing of the development effort by comparing with the other approaches.

The framework facilitates the implementation of mobile applications in the software system that involves integration to multiple clouds, and it supports software evolution with lesser development effort.

Although many knowledge management (KM) initiatives are known to miscarry, there has been relative little critical, in‐depth research into the causes of failure. In this paper, an action research (AR) project is described in a major motor manufacturer (WWM) focusing on one of their key knowledge processes (Design for Manufacturabilty) which was regarded as dysfunctional. The paper has two aims: to explore the substantive factors underlying this malaise, and to demonstrate how the rigour and respectability of AR as a research tool can be strengthened by the use of grounded theory (GT) methodology. Using the latter, a model was produced relating the effectiveness of the DFM process to a set of success factors. These factors resonate with key issues described in previous KM research, namely the need for a shared knowledge repository, a formal KM process, and a culture disposed towards knowledge sharing and re‐use. The model provided a rigorous platform for designing interventions to improve the DFM process. Whilst technical changes (creating infrastructure, defining process) are readily feasible, bringing about cultural change is less tractable and process improvements in WWM have tended to focus more on the former than the latter. As well as providing generalisable insights into KM success and failure, the paper also demonstrates the valuable role that GT can make in informing the design of organisational interventions, in evaluating their impact, and in adding rigour to the theory generation dimension of AR.

It is again suggested that people from black and minority ethnic (BME) communities comprise a disproportionately high percentage of mental health inpatients. Furthermore, the Commission for Racial Equality (CRE) concluded the Department of Health (DH) did not have ‘due regard’ to the Race Equality Duty, retaining major concerns regarding the ability of the DH to ensure future compliance (CRE, 2007). In light of these ongoing problems the DH published a five‐year action plan, Delivering Race Equality (DRE) in Mental Health Care to develop race equality and cultural competence training for mental health practitioners (DH, 2005).A focused review of literature was undertaken, structured around three questions.1. How is cultural competence in mental health care defined?2. How is cultural competence in mental health care delivered?3. How is the delivery of cultural competence in mental health care evaluated?Consensus is lacking on definition of cultural competence and on the sequence of when the components should be acquired, some terms being used interchangeably. It is unclear how cultural competence in mental health care can be delivered. No attempts have been adequately evaluated, particularly by service users (Bhui et al, 2007). More innovative research is needed to develop a consensual definition of cultural competence and to facilitate the delivery and evaluation of such, in ways acceptable to service users and service providers.

The purpose of this paper is to establish an optimum mix of liquid, publicly traded assets that may be added to a real estate portfolio, such as those held by open-ended funds, to provide the liquidity required by institutional investors, such as UK defined contribution pension funds. This is with the objective of securing liquidity while not unduly compromising the risk-return characteristics of the underlying asset class. This paper considers the best mix of liquid assets at different thresholds for a liquid asset allocation, with the performance then evaluated against that of a direct real estate benchmark index.

The authors employ a mean-tracking error optimisation approach in determining the optimal combination of liquid assets that can be added to a real estate fund portfolio. The returns of the optimised portfolios are compared to the returns for portfolios that employ the use of either cash or listed real estate alone as a liquidity buffer. Multivariate generalised autoregressive models are used along with rolling correlations and tracking errors to gauge the effectiveness of the various portfolios in tracking the performance of the benchmark index.

The results indicate that applying formal optimisation techniques leads to a considerable improvement in the ability of the returns from blended real estate portfolios to track the underlying real estate market. This is the case at a number of different thresholds for the liquid asset allocation and in cases where a minimum return requirement is imposed.

The results suggest that real estate fund managers can realise the liquidity benefits of incorporating publicly traded assets into their portfolios without sacrificing the ability to deliver real estate-like returns. However, in order to do so, a wider range of liquid assets must be considered, not just cash.

Despite their importance in the real estate investment industry, comparatively few studies have examined the structure and operation of open-ended real estate funds. To the authors’ knowledge, this is the first study to analyse the optimal composition of liquid assets within blended or hybrid real estate portfolios.