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The purpose of this paper is to test the feasibility of utilising an Asset-Based Community Development (ABCD) model in the context of an Alcohol and Other Drug Therapeutic Community, and to use this as a way of assessing how TCs can contribute to the local communities in which they are sited.

This is a qualitative action research project, based on an evolving model in which key stakeholders from participating sites were instrumental in shaping processes and activities, that is a partnership between a research centre, Turning Point in Melbourne, Australia and two Recovery Services operated by the Salvation Army Australia Eastern Territory (TSA). One of these is the Dooralong Transformation Centre on the Central Coast of New South Wales and the other, Fairhaven, is in the Gold Coast hinterland of Queensland, Australia. The project was designed to create “rehabilitation without walls” by building bridges between the treatment centres and the communities they are based in, and improving participation in local community life. This was done through a series of structured workshops that mapped community asset networks and planned further community engagement activities.

Both of the TCs already had strong connections in their local areas including but not restricted to involvement with the mutual aid fellowships. Staff, residents and ex-residents still in contact with the service were strongly committed to community engagement and were able to identify a wide range of connections in the community and to build these around existing Salvation Army connections and networks.

This is a pilot study with limited research findings and no assessment of the generalisability of this method to other settings or TCs.

Both TCs are able to act as “community resources” through which residents and ex-residents are able to give back to their local communities and develop the social and community capital that can prepare them for reintegration and can positively contribute to the experience of living in the local community.

This paper has significant ramifications for how TCs engage with their local communities both as a mechanism for supporting resident re-entry and also to challenge stigma and discrimination.

The paper and project extend the idea of ABCD to a Reciprocal Community Development model in which TCs can act as active participants in their lived communities and by doing so can create a “therapeutic landscape for recovery”.

Purpose: Risk is a multifaceted concept, and its identification requires complex approaches that are often misunderstood. The consequence is that decisions are based on limited perception rather than the full value and meaning of what risk is, as a result, the way it is being tackled is incorrect. The individuals are often limited in their perceptions and ideas and do not embrace the full multifaceted nature of risk. Regulators and individuals want to follow norms and checklists or overuse models, simulations, and templates, thereby reducing responsibility for decision-making. At the same time, the wider use of technology and rules reduces the critical thinking of individuals. We advance the automation process by building robots that follow protocols and forget about the part of risk assessment that cannot be programed. Therefore, with this study, the objective of this study was to discover how people define risk, the influencing factors of risk perception and how they behave toward this perception. The authors also determine how the perception differed with age, gender, marital status, education level and region. The novelty of the research is related to individual risk perception during COVID-19, as this is a new and unknown phenomenon. Methodology: The research is based on the analysis of the self-administered purposely designed questionnaires we distributed across different social media platforms between February and June 2020 in Europe and in some cases was carried out as a interview over communication platforms such as “Skype,” “Zoom” and “Microsoft Teams.” The questionnaire was divided into four parts: Section 1 was designed to collect demographic information from the participants; Section 2 included risk definition statements obtained from literature and a preliminary discussion with peers; Section 3 included risk behavior statements; and Section 4 included statements on risk perception experiences. A five-point Likert Scale was provided, and participants were required to answer along a scale of “1” for “Strongly Agree” to “5” for “Strongly Disagree.” Participants also had the option to elaborate further and provide additional comments in an open-ended box provided at the end of the section. 466 valid responses were received. Thematic analysis was carried out to analyze the interviews and the open-ended questions, while the questionnaire responses were analyzed using various quantitative methods on IBM SPSS (version 23). Findings: The results of the analysis indicate that individuals evaluate the risk before making a decision and view risk as both a loss and opportunity. The study identifies nine factors influencing risk perception. Nevertheless, it must be emphasized that we can continue to develop models and rules, but as long as the risk is not understood, we will never achieve anything.

This discursive paper presents a lived experience leadership model as developed as part of the Activating Lived Experience Leadership (ALEL) project to increase the recognition and understanding of lived experience leadership in mental health and social sectors. The model of lived experience leadership was formulated through a collaboration between the South Australian Lived Experience Leadership & Advocacy Network and the Mental Health and Suicide Prevention Research and Education Group.

As one of the outcomes of the ALEL research project, this model incorporates findings from a two-year research project in South Australia using participatory action research methodology and cocreation methodology. Focus groups with lived experience leaders, interviews with sector leaders and a national survey of lived experience leaders provided the basis of qualitative data, which was interpreted via an iterative and shared analysis. This work identified intersecting lived experience values, actions, qualities and skills as characteristics of effective lived experience leadership and was visioned and led by lived experience leaders.

The resulting model frames lived experience leadership as a social movement for recognition, inclusion and justice and is composed of six leadership actions: centres lived experience; stands up and speaks out; champions justice; nurtures connected and collective spaces; mobilises strategically; and leads change. Leadership is also guided by the values of integrity, authenticity, mutuality and intersectionality, and the key positionings of staying peer and sharing power.

This model is based on innovative primary research, which has been developed to encourage understanding across mental health and social sectors on the work of lived experience leaders in seeking change and the value that they offer for systems transformation. It also offers unique insights to guide reflective learning for the lived experience and consumer movement, workers, clinicians, policymakers and communities.

Drawing on the job demands-resources (JD-R) model, the authors examine how working in the hybrid workplace model (telework and flexible work) affects job performance via the intervening role of work engagement.

The authors adopted a quantitative approach and collected data from 277 employees working in universities in Nigeria. Partial least square structural equation modelling was used to analyse the data and test the hypotheses.

The findings reveal that flexible work, not telework, has a significant and positive effect on job performance. It also emerges that flexible work positively affects work engagement, and work engagement significantly mediates the relationship between flexible work and job performance. However, the findings do not support the effect of telework on work engagement and the mediating role of work engagement in the proposed relation between telework and job performance.

The paper provides fresh insights by linking the components of the hybrid workplace model with job performance and employee work engagement and extending the JD-R model to the hybrid workplace setting. The practitioners can benefit from the findings of this study by factoring in the importance of the hybrid workplace model in designing policies and procedures to promote job performance.

Multilayer aircore inductors fabricated in a range of interconnection technologies which are MCM compatible are presented and compared. These consist of thick‐film, low temperature cofired ceramic (LTCC), printed circuit board (PCB) and fine‐line plated copper on ceramic (copper plating). From a comparison of simulated and measured results, it can be concluded that a predictive design capability has been achieved for inductance and self‐resonant frequency (SRF). Modelling of AC resistance and Q requires further investigation.

Interrogating the networks in Ambridge can lead to a focus on kinship and familial relationships or various other forms of power and authority. This chapter focusses on the ways that civil society networks are mobilised in the village, exploring how far they are orientated towards social stability and maintenance of the status quo or towards social change. These motivations have been subjected through the collection of vignettes into an innovative social forces analysis through which the internal and external motivations of women in volunteer and informal roles are categorised as being characterised by, variously, self-reliance solidaristic activism as characterised by Lady Bountiful/NIMBYism and lastly benign (p)maternalism. These motivations are all seen in the high levels of subtly gendered activity undertaken in the informal realm (beyond the structures of family or contractual relationships) whereby community power can truly be viewed as a form of ‘women’s work’.

The purpose of this paper is to investigate the effect of choices of model structure and scale in development viability appraisal. The paper addresses two questions concerning the application of development appraisal techniques to viability modelling within the UK planning system. The first relates to the extent to which, given intrinsic input uncertainty, the choice of model structure significantly affects model outputs. The second concerns the extent to which, given intrinsic input uncertainty, the level of model complexity significantly affects model outputs.

Monte Carlo simulation procedures are applied to a hypothetical development scheme in order to measure the effects of model aggregation and structure on model output variance.

It is concluded that, given the particular scheme modelled and unavoidably subjective assumptions of input variance, that simple and simplistic models may produce similar outputs to more robust and disaggregated models. Evidence is found of equifinality in the outputs of a simple, aggregated model of development viability relative to more complex, disaggregated models.

Development viability appraisal has become increasingly important in the planning system. Consequently, the theory, application and outputs from development appraisal are under intense scrutiny from a wide range of users. However, there has been very little published evaluation of viability models. This paper contributes to the limited literature in this area.

This chapter’s focus is comparative causal mapping (CCM) methods in MOC research. For a background, the chapter discusses first the conceptual (cognitive theoretic) basis in typical CCM studies and its implications for understanding the target phenomena and for CCM methods. Next, it presents the CMAP3 software and describes its operating logic and main functions. Third, the chapter describes how to use CMAP3 in three prototypical cases of CCM, each characterized by different research objectives, kinds of data, and methods of data acquisition but also by potential dilemmas. The chapter concludes by speculating about the future directions of causal mapping and suggesting some ideas for developing in particular large-N CCM methods.

Purpose – We offer a view of interpersonal justice climate in which the benefits of fair treatment might be stronger within some groups versus others, depending on characteristics of the supervisor, the group, and the organization in which the group is embedded. We further identify a potential silver lining that may be associated with low interpersonal justice climate. Overall, our intent of this chapter is to offer a more nuanced view of the topic to enhance our understanding of interpersonal justice within groups.

Design/methodology/approach – We review literature on status to support our propositions.

Findings – We examine how a supervisor's idiosyncrasy credits, a group's status, and an organization's emphasis on hierarchy will moderate the relationship between unfair interpersonal treatment from a supervisor and the group's perceived interpersonal justice climate. Also, we suggest that low levels of interpersonal justice climate may actually lead to greater affiliation among group members and ultimately enhance perceptions of group cohesion.

Originality/value – Previous literature on justice climate has largely focused on procedural justice, whereas generally ignoring interpersonal exchanges between a group and its supervisor. This chapter contributes to research on justice at the group level by examining the potential moderating effects of status on the generation of interpersonal justice climate. Further, and in contrast to previous research, we offer a potential positive outcome that may result from low interpersonal justice climate.

The purpose of this paper is to examine the performance of asset classes in the South African investment market and assess the diversification benefits from adding listed property stock into domestic mixed‐asset portfolios.

The data sets comprise of quarterly returns on property listed stock, all share, all bond and 90 day Treasury bill for the period of January, 1999 to December, 2009. Return‐risk performance of all the assets were compared using mean return, standard deviation, mean standard deviation ratio, coefficient of variation and correlation coefficient. To determine return enhancement and risk reduction benefits of property listed stock in mixed‐asset portfolios, 22 naïve portfolios (17 with property stock and five without) were constructed and, their return and risk levels, obtained using Markowitz's mean variance analysis, were compared.

The results showed that there was evidence of superior return and risk‐adjusted performance of real estate stock over other assets. Also, adding property stock into mixed‐asset portfolios was found to have produced enhanced and statistically significant risk‐adjusted returns but minimal and insignificant risk reduction benefits. These results however are conditional on the percentage allocation to real estate and the asset class replaced.

The study has implication for investors. They could consider the inclusion of listed property stock in their portfolios with the expectation of a significant risk‐adjusted return enhancement but marginal risk reduction.

The paper is one of the few attempts at assessing the diversification benefits of listed property stock, especially from the perspective of African emerging market.