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Refugees and asylum seekers worldwide face numerous barriers in accessing health systems. The evidence base regarding who and what helps refugees and asylum seekers facilitate access to and the navigation of the health system in the UK is small. This study aims to address this gap by analysing 14 semi-structured, in-depth interviews with refugees and asylum seekers of different countries of origin in the UK to identify where, when and how they came into contact with the health-care system and what the outcome of these interactions was.

Semi-structured, in-depth interviews were chosen as the key method for this study. In total, 14 individual interviews were conducted. A trauma-informed research approach was applied to reduce the risk of re-traumatising participants.

The paper identifies key obstacles as well as “facilitators” of refugees’ and asylum seekers’ health-care experience in the UK and suggests that host families, friends and third-party organisations all play an important role in ensuring refugees and asylum seekers receive the healthcare they need.

To the best of the authors’ knowledge, this is the first qualitative study in the UK that looks at comprehensive health journeys of refugees from their first encounter with health services through to secondary care, highlighting the important role along the way of facilitators such as host families, friends and third-party organisations.

Existing quantitative research demonstrates negatively impacted mental health outcomes for people detained in immigration removal centres (IRCs) in the UK. However, there is limited qualitative research on the phenomenology of life inside UK IRCs. The purpose of this paper is to explore the psychosocial stressors experienced by people in detention, the psychological impacts of being detained and the ways in which people express resilience and cope in detention.

In-depth interviews were conducted with nine people who had previously been held in UK IRCs. Interview transcripts were analysed using interpretative phenomenological analysis.

Participants experienced incredulity and cognitive dissonance at being detained, and found themselves deprived of communication and healthcare needs. These stressors led participants to feel powerless, doubt themselves and their worldviews, and ruminate about their uncertain futures. However, participants also demonstrated resilience, and used proactive behaviours, spirituality and personal relationships to cope in detention. Antonovsky’s (1979) theory on wellbeing – sense of coherence – was found to have particular explanatory value for these findings.

The sample of participants used in this study was skewed towards male, Iranian asylum seekers, and the findings therefore may have less applicability to the experiences of females, ex-prisoners and people from different geographical and cultural backgrounds.

This study offers a range of new insights into how detention in the UK impacts on people’s lives. The findings may be useful to policy makers who legislate on and regulate the UK immigration detention system, as well as custodial staff and health and social care practitioners working in IRCs.

The purpose of this paper is to analyze consumers’ reaction to assortment composition.

This study examines several scenarios: private label (PL)-only assortments; mixed assortments (PL and national brands (NBs)), and in the latter case both small and large assortments. Consumers’ reaction is measured through three dependent variables: store image, PL purchase intention and store-switching intentions. The authors ran a structural equation model (SEM) to analyze the influence of different explanatory aspects (product category involvement, attitude toward PL, value consciousness and assortment variety perception) on consumers’ reactions for each scenario. For this research, the authors carried out an online experiment with a sample of 1,400 individuals from a large panel of consumers.

Consumers react differently to different assortment compositions, giving importance to the differences between the three assortment models analyzed. The results show that the composition of the assortment, either according to its size or its structure, influences consumers’ response in a significant way. The results demonstrate that store image exclusively affects PL purchase intention in PL-only assortments. Only in mixed assortments is there a relationship between the assortment variety perception and store image, product category involvement and PL purchase intention, and both store image and value consciousness are related to store-switching intentions. Store-switching intentions decrease when consumers intend to purchase PL, but strictly in PL-only and large mixed assortments. Finally, value consciousness and variety perception are positively related to PL purchase intentions only in large mixed assortments.

One limitation of this research is that it is restricted to the Spanish context. Second, the methodology is based on an online experiment, with the advantages and disadvantages that this entails. Third, the authors did not differentiate between high- and low-value PL which, if undertaken, could be of interest for observing how brand value affects the management of retail assortments. Finally, the authors did not differentiate regular buyers at these retail chains from those who are not.

The comparison between different assortment compositions helps the authors to draw some very interesting conclusions. The estimation of different consumers’ responses is ideal for providing retailers with recommendations on how to frame their assortment strategies. Thus, the main recommendation of this study for retailers is to look for a “balance” between PL and NBs, i.e., to offer mixed assortments.

Aside from mixed assortments, this study estimates the consequences of assortments that are exclusively PL. The authors proposed and deployed a SEM, so this paper contributes to the retailing field by including multiple dependent variables – store image, PL purchase intention and store-switching intentions. The authors conducted an online experiment containing “real” brands, which is another contribution as it enables consumers’ response to be estimated in a “real” environment.

The purpose of this paper is twofold: to identify, evaluate and structure the research that focusses on omni-channel retailing from the perspective of logistics and supply chain management; and to reveal the intellectual foundation of omni-channel retailing research.

The paper applies a multi-method approach by conducting a content-analysis-based literature review of 70 academic papers. Based on the reference lists of these papers, the authors performed a citation and co-citation analysis based on the 34 most frequently cited papers. This analysis included multidimensional scaling, a cluster analysis and factor analysis.

The study reveals the limited consideration of logistics and supply chain management literature in the foundation of the omni-channel retailing research. Further, the authors see a dominance of empirical research as compared to conceptual and analytical research. Overall, there is a focus on the Western retail context in this research field. The intellectual foundation is embedded in the marketing discipline and can be characterised as lacking a robust theoretical foundation.

The contribution of this research is identifying, evaluating and structuring the literature of omni-channel research and providing an overview of the state of the art of this research area considering its interdisciplinary nature. This paper thus supports researchers looking to holistically comprehend, prioritise and use the underpinning literature central to the phenomena of omni-channel retailing. For practitioners and academics alike, the findings can trigger and support future research and an evolving understanding of omni-channel retailing.

In this article we aim to understand how the network formed by fitness tracking devices and associated apps as a subset of the broader health-related Internet of things is capable of spreading information.

The authors used a combination of a content analysis, network analysis, community detection and simulation. A sample of 922 health-related apps (including manufacturers' apps and developers) were collected through snowball sampling after an initial content analysis from a Google search for fitness tracking devices.

The network of fitness apps is disassortative with high-degree nodes connecting to low-degree nodes, follow a power-law degree distribution and present with low community structure. Information spreads faster through the network than an artificial small-world network and fastest when nodes with high degree centrality are the seeds.

This capability to spread information holds implications for both intended and unintended data sharing.

The analysis confirms and supports evidence of widespread mobility of data between fitness and health apps that were initially reported in earlier work and in addition provides evidence for the dynamic diffusion capability of the network based on its structure. The structure of the network enables the duality of the purpose of data sharing.