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The purpose of this paper is to explain the history of the Fairweather Lodge Program, its utility, the development of one program in a small Midwestern city, the role of psychology, and the importance of disseminating information about the program to combat homelessness.

This paper takes a short case study approach to describing the evolution of a peer support-based housing program for individuals with serious mental illness and a history of homelessness.

The Fairweather Lodge facilitates peer support, community engagement, stable housing, and work engagement in those struggling with mental illness and homelessness.

The Fairweather Lodge Program is a program intended to support the mental health and employment needs of individuals with severe mental illness who are at increased risk of homelessness. Housing alone often does not address the complex needs of chronically homeless individuals.

The purpose of this paper is to discuss the design, application and findings of a case study in which the application of a machine learning algorithm is utilised to identify the grievances in Twitter in an Arabian context.

To understand the characteristics of the Twitter users who expressed the identified grievances, data mining techniques and social network analysis were utilised. The study extracted a total of 23,363 tweets and these were stored as a data set. The machine learning algorithm applied to this data set was followed by utilising a data mining process to explore the characteristics of the Twitter feed users. The network of the users was mapped and the individual level of interactivity and network density were calculated.

The machine learning algorithm revealed 12 themes all of which were underpinned by the coalition of Arab countries blockade of Qatar. The data mining analysis revealed that the tweets could be clustered in three clusters, the main cluster included users with a large number of followers and friends but who did not mention other users in their tweets. The social network analysis revealed that whilst a large proportion of users engaged in direct messages with others, the network ties between them were not registered as strong.

Borum (2011) notes that invoking grievances is the first step in the radicalisation process. It is hoped that by understanding these grievances, the study will shed light on what radical groups could invoke to win the sympathy of aggrieved people.

In combination, the machine learning algorithm offered insights into the grievances expressed within the tweets in an Arabian context. The data mining and the social network analyses revealed the characteristics of the Twitter users highlighting identifying and managing early intervention of radicalisation.

The purpose of this paper is to extend our understanding of the issues facing those who experience multiple moves around homelessness projects. It considers these issues and how they relate to best practice, informing the delivery of psychologically informed environments (PIEs).

A qualitative design was employed, with interviews undertaken with men currently residing in hostels for those with additional needs. These men had already experienced multiple moves within the hostel system. Interpretative phenomenological analysis was used to analyse the data.

Main themes consider issues and challenges associated with hope and moving forward; help and the conditional or temporal nature of this; identity and stigma; and intimacy and relationships. Clinical implications of these findings are discussed.

Implications include best practice for future planning with service users, the relational nature of hope, how best to manage endings and practical guidance for service developments in these settings.

These findings further the understanding of the challenges faced by service users with complex needs and how best to address them. They build on PIE guidance, offering tangible advice for practice.

With the proliferation of terrorist/extremist websites on the World Wide Web, it has become progressively more crucial to detect and analyze the content on these websites. Accordingly, the volume of previous research focused on identifying the techniques and activities of terrorist/extremist groups, as revealed by their sites on the so-called dark web, has also grown.

This study presents a review of the techniques used to detect and process the content of terrorist/extremist sites on the dark web. Forty of the most relevant data sources were examined, and various techniques were identified among them.

Based on this review, it was found that methods of feature selection and feature extraction can be used as topic modeling with content analysis and text clustering.

At the end of the review, present the current state-of-the- art and certain open issues associated with Arabic dark Web content analysis.

The COVID-19 pandemic has caused major disruptions and revealed the fragilities in supply chains. This crisis has re-opened the debate on supply chain resilience and sustainability. This paper aims to investigate distinct impacts of COVID-19 on supply chains. It identifies both short- and medium-to-long-term measures taken to mitigate the different effects of the pandemic and highlights potential transformations and their impacts on supply chain sustainability and resilience.

To address the purpose of the study, a qualitative research approach based on case studies and semi-structured interviews with 15 practitioners from various supply chain types and sectors was conducted. Studied organizations included necessary and non-necessary supply chain sectors, which are differently impacted by the COVID-19 pandemic.

This study reveals five main challenges facing supply chains during COVID-19, including uncertain demand and supply, suppliers' concentration in specific regions, globalized supply chains, reduced visibility in the supply network, and limited supplier capacity. To help mitigate these challenges and develop both sustainability and resilience, this paper identifies some mitigating actions focusing on the promotion of the health and wellbeing of employees and supply chain stabilization. Further, in the post-COVID era, sustainable and resilient supply chains should consider regionalization of the supply chain, diversification of the supply network, agility, collaboration, visibility, and transparency; and should accelerate the use of smart technologies and circular economy practices as dynamic capabilities to improve supply chain resilience and sustainability.

This study contributes to exploring the sustainability- and resilience-related challenges posed by the COVID-19 pandemic. Its findings can be used by researchers and supply chains decision-makers to limit disruptions and improve responsiveness, resilience, sustainability, and restoration of supply chains. The results support benchmarking through sharing of the best practices and organizations can also integrate the different capabilities discussed in this study into the processes of selection and auditing of their suppliers.

This paper aims to explore the nature of the marketing of concerts 1672–1749 examining innovations in the promotion and commodification of music, which are witness to the early development of music as a business.

The study takes as its basis 4,356 advertisements for concerts in newspapers published in London between 1672 and 1749.

Musicians instigated a range of marketing strategies in an effort to attract a concert audience, which foreground those found in more recent and current arts marketing practice. They promoted regular concerts with a clear sense of programme planning to appeal to their audience, held a variety of different types of concerts and made use of a variety of pricing strategies. Concerts were held at an increasing number and range of venues with complementary ticket-selling locations.

Whilst there is some literature investigating concert-giving in this period from a musicological perspective (James, 1987; Johnstone, 1997; McVeigh, 2001; Weber, 2001; 2004b; 2004c; Wollenberg, 1981–1982; 2001; Wollenberg and McVeigh, 2004), what research there is that uses marketing as a window onto the musical culture of concert-giving in this period lacks detail (McGuinness, 1988; 2004a; 2004b; McGuinness and Diack Johnstone, 1990; Ogden et al., 2011). This paper illustrates how the development of public commercial concerts made of music a commodity offered to and demanded by a new breed of cultural consumers. Music, thus, participated in the commercialisation of leisure in late 17th- and 18th-century England and laid the foundations of its own development as a business.

This study aims to follow a rigorous approach to identify, critically analyze and synthesize 75 papers published from 2000 to 2022.

The study presents a systematic literature review on identity expressiveness (IE), clarifying and expanding what is currently known about the concept.

To synthesize current knowledge on IE, the study uses the overarching framework of antecedents-phenomenon-consequences, using this same framework to identify gaps and future research directions. The findings show individual and brand-related factors such as the need for uniqueness and anthropomorphism as antecedents of IE, and eWOM/WOM, impulse purchases and upgrading to more exclusive lines as consequences of IE.

The study contributes to theory by synthesizing and mapping current understanding of the state of knowledge on the concept of IE while highlighting gaps in the extant literature and paving future research directions for scholars in the field.

The study offers useful insights for practitioners, broadening marketers’ actionable options in identity-based marketing. Marketers can use insights from this study to inform marketing strategy and communication campaigns for different types of brands.

To the best of the authors’ knowledge, this study is the first of its kind and offers an integrative review of the current literature on IE, thus enhancing understanding of the concept, its antecedents and consequences. The study also contributes to knowledge by highlighting future research priorities for researchers in this field of enquiry.