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The purpose of this paper is to assess frailty, geriatric conditions and multimorbidity in people experiencing homelessness (PEH) using holistic evaluations based on comprehensive geriatric assessment (CGA) and draw comparisons with general population survey data.

Cross-sectional observational study conducted in a London-based hostel for single PEH over 30 years old in March–April 2019. The participants and key workers completed health-related questionnaires, and geriatric conditions were identified using standardised assessments. Frailty was defined according to five criteria in Fried’s phenotype model and multimorbidity as the presence of two or more long-term conditions (LTCs). Comparisons with the general population were made using data from the English Longitudinal Study of Ageing and the Health Survey for England.

A total of 33 people participated with a mean age of 55.7 years (range 38–74). Frailty was identified in 55% and pre-frailty in 39%. Participants met an average of 2.6/5 frailty criteria, comparable to 89-year-olds in the general population. The most common geriatric conditions were: falls (in 61%), visual impairment (61%), low grip strength (61%), mobility impairment (52%) and cognitive impairment (45%). All participants had multimorbidity. The average of 7.2 LTCs (range 2–14) per study participant far exceeds the average for even the oldest people in the general population.

To the best of authors’ knowledge, this is the first UK-based study measuring frailty and geriatric conditions in PEH and the first anywhere to do so within a CGA-type evaluation. It also demonstrates the feasibility of conducting holistic evaluations in this setting, which may be used clinically to improve the health outcomes for PEH.

This study explores how a small minority of social entrepreneurs break free from third sector constraints to conceive, create and grow non-profit organisations that generate social value at scale in new and innovative ways.

Six narrative case histories of innovative social enterprises were developed based on documents and semi-structured interviews with founders and long serving executives. Data were coded “chrono-processually”, which involves locating thoughts, events and actions in distinct time periods (temporal bracketing) and identifying the processes at work in establishing new social ventures.

This study presents two core findings. First, the paper demonstrates how successful social entrepreneurs draw on their lived experiences, private and professional, in driving the development and implementation of social innovations, which are realised through application of their capabilities as analysts, strategists and resources mobilisers. These capabilities are bolstered by personal legitimacy and by their abilities as storytellers and rhetoricians. Second, the study unravels the complex processes of social entrepreneurship by revealing how sensemaking, theorising, strategizing and sensegiving underpin the core processes of problem specification, the formulation of theories of change, development of new business models and the implementation of social innovations.

The study demonstrates how social entrepreneurs use sensemaking and sensegiving strategies to understand and address complex social problems, revealing how successful social entrepreneurs devise and disseminate social innovations that substantially add value to society and bring about beneficial social change. A novel process-outcome model of social innovation is presented illustrating the interconnections between entrepreneurial cognition and strategic action.

Secondary customers often experience secondary vulnerabilities that manifest in family-centred transformative services as other- and self-related customer needs. Yet, a relational perspective on primary and secondary customers’ needs is lacking. The study analyses secondary customers’ needs and their relationship to primary customers’ needs to enhance well-being in customer entities. The service inclusion lens is used to understand customers’ experiences of vulnerability.

The study uses an exploratory approach. The data consists of ethnographic observations and interviews of elderly residents (primary customers), their family members (secondary customers) and nurses in two nursing homes.

Primary and secondary customers’ needs are interrelated (or unrelated) in four ways: they are separate, congruent, intertwined or discrepant. The vulnerability experiences fluctuate in intensity and over time, individually reflecting on these need dimensions.

The study contributes to service research concerning customers’ experiences of vulnerability, secondary customers and their inclusion in services. Primary customers’ service inclusion may increase/decrease secondary customers’ service inclusion and their experience of vulnerability. Moreover, secondary customers’ inclusion is often necessary to foster primary customers’ inclusion and well-being.

Fostering service inclusion and well-being for primary and secondary customers requires balanced inclusion and acknowledging the needs of both groups. Service providers may need to act as moderators within customer entities if discrepant needs occur.

The study addresses the under-researched areas of family members’ customer needs, their relation to primary customers’ needs, experiences of secondary vulnerability and context-related vulnerability.

The paper aims to explore the nature of initiatives and strategies of inter-organizational cooperation to cross the valley of death in the biopharma industry.

The authors conducted an exploratory case study analysis in the Biopharma Innovation Ecosystem in Greater Boston Area (USA), which is one of the oldest, and most successful IE in the US, specialized in the Biopharma domain, by conducting a round of expert interviews with key informants in the area, chosen as representatives of the different types of actors engaged in the drug development processes at different stages.

Main findings suggest that cooperation can contribute to surviving the valley of death by reducing the barriers within the drug development pipeline through the promotion of strategic relationships among actors of different nature, including the establishment of government-led thematic associations or consortia, agreements between university and business support structures, proximity to venture capitalist and the promotion of a general culture of academic entrepreneurship within universities.

The authors believe that this paper contributes to the literature by shedding light on the nature of the specific cooperative initiative the barriers in drug development and help to survive the valley of the death.

The purpose of this paper is to use the practical application of tools provided by social network theory for the detection of potential influencers from the point of view of marketing within online communities. It proposes a method to detect significant actors based on centrality metrics.

A matrix is proposed for the classification of the individuals that integrate a social network based on the combination of eigenvector centrality and betweenness centrality. The model is tested on a Facebook fan page for a sporting event. NodeXL is used to extract and analyze information. Semantic analysis and agent-based simulation are used to test the model.

The proposed model is effective in detecting actors with the potential to efficiently spread a message in relation to the rest of the community, which is achieved from their position within the network. Social network analysis (SNA) and the proposed model, in particular, are useful to detect subgroups of components with particular characteristics that are not evident from other analysis methods.

This paper approaches the application of SNA to online social communities from an empirical and experimental perspective. Its originality lies in combining information from two individual metrics to understand the phenomenon of influence. Online social networks are gaining relevance and the literature that exists in relation to this subject is still fragmented and incipient. This paper contributes to a better understanding of this phenomenon of networks and the development of better tools to manage it through the proposal of a novel method.

This paper aims to specifically focus on the challenges that human resource management (HRM) leaders and departments in contemporary organisations face due to close interaction between artificial intelligence (AI) (primarily robots) and human workers especially at the team level. It further discusses important potential strategies, which can be useful to overcome these challenges based on a conceptual review of extant research.

The current paper undertakes a conceptual work where multiple streams of literature are integrated to present a rather holistic yet critical overview of the relationship between AI (particularly robots) and HRM in contemporary organisations.

We highlight that interaction and collaboration between human workers and robots is visible in a range of industries and organisational functions, where both are working as team members. This gives rise to unique challenges for HRM function in contemporary organisations where they need to address workers' fear of working with AI, especially in relation to future job loss and difficult dynamics associated with building trust between human workers and AI-enabled robots as team members. Along with these, human workers' task fulfilment expectations with their AI-enabled robot colleagues need to be carefully communicated and managed by HRM staff to maintain the collaborative spirit, as well as future performance evaluations of employees. The authors found that organisational support mechanisms such as facilitating environment, training opportunities and ensuring a viable technological competence level before organising human workers in teams with robots are important. Finally, we found that one of the toughest challenges for HRM relates to performance evaluation in teams where both humans and AI (including robots) work side by side. We referred to the lack of existing frameworks to guide HRM managers in this concern and stressed the possibility of taking insights from the computer gaming literature, where performance evaluation models have been developed to analyse humans and AI interactions while keeping the context and limitations of both in view.

Our paper is one of the few studies that go beyond a rather general or functional analysis of AI in the HRM context. It specifically focusses on the teamwork dimension, where human workers and AI-powered machines (robots) work together and offer insights and suggestions for such teams' smooth functioning.

This paper aims to address three research questions (1) Who is the main stakeholder that shapes Airbnb experience, (2) Does Airbnb offers an authentic travel experience? and (3) What should be the future research trends in Airbnb?

This paper uses the systematic literature review (SLR) with a well-defined protocol, research strategy and methods to answer the research questions.

The review revealed that while Airbnb plays a significant role as the platform provider, the stakeholders influencing the experiences are multifaceted. Hosts, guests, local communities and even regulatory bodies all contribute to shaping the overall Airbnb Experience ecosystem. Hosts, in particular, have a crucial role in curating and delivering unique experiences, which significantly impacts the quality and authenticity of the offerings. On the question of whether Airbnb offers an authentic travel experience, the review uncovered mixed findings. For examples, some studies emphasized the potential for Airbnb to provide authentic and local experiences, allowing travelers to engage with the community and cultural aspects of a destination. However, other studies raised concerns about the commodification and standardization of experiences, leading to a potential loss of authenticity.

This paper is different from previous SLR where previous research systematically reviewed; motivations to use and choose Airbnb, institutionalization of Airbnb, stakeholders of Airbnb. This paper addresses authentic experience as a factor that influences activity participation.

School-university partnerships (SUPs) probe a range of P12 challenges and interests, with teacher residencies being chief among them. Because historically black colleges and universities (HBCUs) have impressive track records (Hill-Jackson, 2017) and knowhow (Marchitello & Trinidad, 2019; Petchauer & Mawhinney, 2017) in preparing teacher candidates to work effectively in diverse schools, this paper seeks deeper understandings of the types of SUPs for teacher residency collaborations employed by traditional versus HBCU programs.

This article draws upon the self-study as a methodology to review a SUP for a teacher residency at an HBCU in the southwestern United States to illustrate an equity-centric model.

Leveraging an equity and third space perspective, three separate approaches to the SUPs are unpacked to establish the outline for this proposal: ceremonial, conventional and communal teacher residency approaches.

A novel typology of three distinct approaches to SUPs for teacher residencies is outlined to establish the extent to which equity is foregrounded among teacher residencies.

The majority of the supply chain sustainability (SCS) literature is based on research perspectives and findings from studies conducted in developed countries. The purpose of this paper is to analyse the current Latin American publications on SCS (2007–2016) to explore whether another perspective exists.

As part of a structured literature review, 123 peer-reviewed articles published in four Latin American databases were scanned. This literature review was combined with a qualitative content analysis using an inductive and deductive approach to move away from top–down approaches and to illuminate the Latin American perspective on SCS.

The analysis of the scientific literature demonstrates that the traditional three pillars of sustainability are not enough to understand the specificities of the region. This review shows that cultural and institutional dimensions enhance the understanding of SCS locally. In addition, three major triggers for SCS in Latin American economies were found: green supply chain management practices, local development and stakeholder engagement.

A deeper understanding of the Latin American perspective can support scholars worldwide in developing the field of SCS in relevant directions and in comprehending the specificities of their own countries by infusing cultural and institutional elements into their conceptualisations of SCS.

This paper provides an unexplored perspective on SCS because it analyses Latin American publications and presents a mapping of current SCS issues and research gaps that offers insights to guide future research in the field.

At the US passenger stations, train operations approaching terminating tracks rely on the engineer’s compliant behavior to safely stop before the end of the tracks. Noncompliance actions from the disengaged or inattentive engineers would result in hazards to train passengers, train crewmembers and bystanders at passenger stations. Over the past decade, a series of end-of-track collisions occurred at passenger stations with substantial property damage and casualties. This study’s developed systemic model and discussions present policymakers, railway practitioners and academic researchers with a flexible approach for qualitatively assessing railroad safety.

To achieve a system-based, micro-level analysis of end-of-track accidents and eventually promote the safety level of passenger stations, the systems-theoretic accident modeling and processes (STAMP), as a practical systematic accident model widely used in the complex systems, is developed in view of environmental factors, human errors, organizational factors and mechanical failures in this complex socio-technical system.

The developed STAMP accident model and analytical results qualitatively provide an explicit understanding of the system hazards, constraints and hierarchical control structure of train operations on terminating tracks in the US passenger stations. Furthermore, the safety recommendations and practical options related to obstructive sleep apnea screening, positive train control-based collision avoidance mechanisms, robust system safety program plans and bumping posts are proposed and evaluated using the STAMP approach.

The findings from STAMP-based analysis can serve as valid references for policymakers, government accident investigators, railway practitioners and academic researchers. Ultimately, they can contribute to establishing effective emergent measures for train operations at passenger stations and promote the level of safety necessary to protect the public. The STAMP approach could be adapted to analyze various other rail safety systems that aim to ultimately improve the safety level of railroad systems.