Search Results (56)

Tourism and hospitality organisations in remote, highly seasonal Arctic and sub-Arctic destinations face persistent workforce instability, multicultural team dynamics, and well-being risks that threaten service reliability and organisational continuity. Previous research has focused mainly on destination- and community-level resilience, while giving less attention to how resilience is built within tourism organisations through everyday workforce-related practices. This study examines people-centred organisational resilience through a qualitative comparative design in two northern contexts: Iceland and Finnish Lapland. The empirical material comprised semi-structured interviews in Iceland and interviews, organisational documents, and field observations in Finnish Lapland, collected in autumn 2025. The data were analysed using thematic analysis. The findings identify four recurring resilience mechanisms: leadership under seasonal and environmental pressure; employee experience across employment phases; living conditions and belonging; and ethical governance. Here, “mechanisms” refers not simply to broad topics but to organisational processes through which recurring practices support resilience in remote, highly seasonal tourism settings. Together, these mechanisms show that resilience in remote tourism is built not only through operational flexibility or crisis response, but through people-centred organisational practices that support continuity, coordination, safety, and trust across seasons. The study contributes a workforce-centred extension of resilience theory in tourism and offers a comparative account of how these mechanisms operate across two northern tourism settings. Full article

Background: As part of Vision 2030, the Saudi Health Sector Transformation Program (SHSTP) introduced hospital clustering and digital health to strengthen patient-centered care. However, limited empirical evidence exists on its real-world impact. SHSTP represents one of the first large-scale digital integration reforms in the Gulf region, aligning with international frameworks such as the WHO Integrated People-Centred Health Services (IPCHS) and the Wagner Chronic Care Model. This study therefore contributes policy-relevant evidence on how national digital health reforms translate into measurable improvements in care coordination and patient experience. Methods: A convergent mixed-methods study was conducted across two regions (Mecca and Eastern Province) and four public hospitals (two clustered, two non-clustered) from 2016 to 2024. Quantitative indicators included patient satisfaction, Patient-Centered Care Index (PCCI), follow-up compliance, digital engagement (telemedicine, Sehat app/EMR), operational efficiency, and readmissions. Analyses used t-tests, ANOVA, and multivariable regression. Qualitative data from 53 semi-structured interviews (patients and physicians) were thematically analyzed and integrated with quantitative results through triangulation. Results: Clustered hospitals showed higher patient satisfaction (87.6% vs. 75.0%), stronger care coordination (PCCI: 89.4 vs. 69.7; p < 0.001), and better follow-up compliance (83.6% vs. 71.2%; p = 0.006). Digital engagement was greater (telemedicine 0.53 vs. 0.30; Sehat app 0.55 vs. 0.26; both p < 0.05). Regression identified hospital clustering (β = 12.49; p = 0.022), physician role (β = 19.92; p < 0.001), and digital literacy (β = 4.03; p = 0.047) as significant predictors of care coordination. Qualitative findings supported these results but highlighted challenges with digital literacy and workforce stability. Conclusions: SHSTP clustering improves patient experiences, digital engagement, and operational performance in chronic care. Sustained progress requires investment in digital literacy, workforce development, and change management. Broader longitudinal evaluation is warranted to confirm scalability and system-wide effects. These results extend the global evidence base on health system transformation by illustrating how digital and structural integration can operationalize patient-centered care in emerging-economy settings. Full article

Out-of-pocket health expenditure (OOPHE) significantly impacts people with chronic and complex diseases (CCDs) and injuries. Aboriginal communities experience a higher burden of CCDs and injury, along with greater OOPHE inequities. This project aims to develop and implement a social prescribing digital platform (Web App) to reduce OOPHE. It is grounded in citizen science approaches that value the lived experience and knowledge of Aboriginal people in shaping solutions. The project uses a citizen science methodology adapted for these communities, using knowledge interface methodology to weave together Indigenous and Western knowledges. Research methods (Indigenous, quantitative, qualitative) explore the relational nature of OOPHE risks and protective factors through co-design and workshops with Aboriginal participants to develop the Web App. A community-centric developmental evaluation guides the trial and refinement of the platform, allowing for ongoing learning and adaptation. Process measures inform a national scale-up and evaluation framework. Addressing OOPHE is essential to improving health and wellbeing for Aboriginal and Torres Strait Islander individuals and families living with or at risk of CCDs. This initiative aims to reduce the impact of OOPHE through digital social prescribing, there by connecting people with essential community services to access healthcare, offering a scalable approach to addressing health inequities nationwide. Full article

Smart cities offer new opportunities for urban governance and sustainable development. However, at the current stage, the construction and development of smart cities generally exhibit a technology-driven tendency, neglecting real resident demand, which contradicts the “human-centric” principle. Traditional top-down methods of demand collection struggle to capture the dynamics and heterogeneity of public demand. At the same time, government service platforms, as one dimension of smart city construction, have accumulated massive amounts of user-generated data, providing new solutions for this challenge. This paper aims to construct a big data-driven analytical framework for dynamically identifying and accurately forecasting core resident demand. The study uses Xi’an City, Shaanxi Province, China, as a case study, utilising user messages from People.cn spanning 2011 to 2023. These messages cover various domains, including urban construction, healthcare, education, and transportation, as the data source. The People.cn message board is China’s most significant nationwide online political platform. Its institutionalised feedback mechanism ensures data content focuses on highly representative specific grievances, rather than the broad emotional expressions on social media. The study employs user messages from People.cn from 2011 to 2023 as its data source, encompassing urban construction, healthcare, education, and transportation. First, a large language model (LLM) was used to preprocess and clean the raw data. Subsequently, the BERTopic model was applied to identify ten core demand themes and construct their monthly time series, thereby overcoming the limitations of traditional methods in short-text semantic recognition. Finally, by integrating variational mode decomposition (VMD) with support vector machines (SVMs), a hybrid demand forecasting model was established to mitigate the risk of overfitting in deep learning when forecasting small-sample time series. The empirical results show that the proposed LLM-BERTopic-VMD-SVM framework exhibits excellent performance, with the goodness-of-fit (R2) on various demand themes ranging from 0.93 to 0.96. This study proposes an effective analytical framework for identifying and forecasting resident demand. It provides a decision-support tool for city managers to achieve proactive and fine-grained governance, thereby offering a viable empirical pathway to promote the transformation of smart cities from technology-centric to human-centric. Full article

During the last decade, artificial intelligence (AI) has enabled key technological innovations within the modern dementia and frailty healthcare and prevention landscape. This has boosted the impact of technology in the clinical setting, enabling earlier diagnosis with improved specificity and sensitivity, leading to accurate and time-efficient support that has driven the development of preventative interventions minimizing the risk and rate of progression. Background/Objectives: The rapid ageing of the European population places a substantial strain on the current healthcare system and imposes several challenges. COMFORTage is the joint effort of medical experts (i.e., neurologists, psychiatrists, neuropsychologists, nurses, and memory clinics), social scientists and humanists, technical experts (i.e., data scientists, AI experts, and robotic experts), digital innovation hubs (DIHs), and living labs (LLs) to establish a pan-European framework for community-based, integrated, and people-centric prevention, monitoring, and progression-managing solutions for dementia and frailty. Its main goal is to introduce an integrated and digitally enabled framework that will facilitate the provision of personalized and integrated care prevention and intervention strategies on dementia and frailty, by piloting novel technologies and producing quantified evidence on the impact to individuals’ wellbeing and quality of life. Methods: A robust and comprehensive design approach adopted through this framework provides the guidelines, tools, and methodologies necessary to empower stakeholders by enhancing their health and digital literacy. The integration of the initial information from 13 pilots across 8 European countries demonstrates the scalability and adaptability of this approach across diverse healthcare systems. Through a systematic analysis, it aims to streamline healthcare processes, reduce health inequalities in modern communities, and foster healthy and active ageing by leveraging evidence-based insights and real-world implementations across multiple regions. Results: Emerging technologies are integrated with societal and clinical innovations, as well as with advanced and evidence-based care models, toward the introduction of a comprehensive global coordination framework that: (a) improves individuals’ adherence to risk mitigation and prevention strategies; (b) delivers targeted and personalized recommendations; (c) supports societal, lifestyle, and behavioral changes; (d) empowers individuals toward their health and digital literacy; and (e) fosters inclusiveness and promotes equality of access to health and care services. Conclusions: The proposed framework is designed to enable earlier diagnosis and improved prognosis coupled with personalized prevention interventions. It capitalizes on the integration of technical, clinical, and social innovations and is deployed in 13 real-world pilots to empirically assess its potential impact, ensuring robust validation across diverse healthcare settings. Full article

Background/Objectives: BRIGHTLIGHT was the national evaluation of adolescent and young adult (AYA) cancer services in England. BRIGHTLIGHT results were not available when the most recent healthcare policy (NHSE service specifications for AYA Cancer) for AYA was drafted and therefore did not consider BRIGHTLIGHT findings and recommendations. We describe the co-development and delivery of a Policy Lab to expedite the implementation of the new service specification in the context of BRIGHTLIGHT results, examining the roles of multi-stakeholders to ensure service delivery is optimised to benefit AYA patients. We address the key question, “What is the roadmap for empowering different stakeholders to shape how the AYA service specifications are implemented?”. Methods: A 1-day face-to-face policy lab was facilitated, utilising a unique, user-centric engagement approach by bringing diverse AYA stakeholders together to co-design strategies to translate BRIGHTLIGHT evidence into policy and impact. This was accompanied by an online workshop and prioritisation survey, individual interviews, and an AYA patient workshop. Workshop outputs were analysed thematically and survey data quantitatively. Results: Eighteen professionals and five AYAs attended the face-to-face Policy Lab, 16 surveys were completed, 13 attended the online workshop, three professionals were interviewed, and three AYAs attended the patient workshop. The Policy Lab generated eight national and six local recommendations, which were prioritised into three national priorities: 1. Launching the service specification supported by compelling communication; 2. Harnessing the ideas of young people; and 3. Evaluation of AYA patient outcomes/experiences and establishing a national dashboard of AYA cancer network performance. An animation was created by AYAs to inform local hospitals what matters to them most in the service specification. Conclusions: Policy and research evidence are not always aligned, so when emerging evidence does not support current guidance, further exploration is required. We have shown through multi-stakeholder involvement including young people that it was possible to gain a different interpretation based on current knowledge and context. This additional insight enabled practical recommendations to be identified to support the implementation of the service specification. Full article

The adoption of artificial intelligence (AI) in marketing and social media is gaining scholarly interest. While AI technologies offer significant potential for enhancing customer engagement (CE), their effectiveness depends on an industry’s level of digital and AI readiness. This is especially relevant for people-centric sectors such as tourism and hospitality, where digital maturity remains relatively low. This study aims to understand how AI supports CE and social media marketing (SMM), and to identify the key antecedents and consequences of its use. Using the PRISMA approach, we conduct a systematic review of 55 peer-reviewed empirical studies on AI-based CE and SMM. Our analysis identifies the main contributing theories and AI technologies in the field, and uncovers four central themes: (1) AI in customer service and user experience design, (2) AI-based customer relationships with brands, (3) AI-driven development of customer trust, and (4) cultural differences and varying levels of AI readiness. We also develop a conceptual framework that outlines the determinants and outcomes of AI-based CE, including relevant moderators and mediators. The study concludes with directions for future research and provides theoretical and managerial implications, particularly for the tourism and hospitality industries. Full article

The integration of lived experience educators (LEEs) in social work and healthcare educational programmes has evolved to recognise its potential to enhance learning, empathy and professional development among students. This scoping review explores the level of LEEs’ engagement in academic models and the different perspectives of LEEs, academic staff and students on lived experience education, analysing both the merits and challenges of this pedagogical approach. A systematic search was conducted across multiple academic databases and identified 37 articles on lived experience education. Arnstein’s Ladder of Citizen Participation was used as an evaluation tool to assess the levels of engagement described in the studies. The common themes across studies were analysed and synthesised for each perspective of the stakeholders. The findings of this review evidence that while lived-experience-led education enhances students’ performance, the depth of participation of LEEs varies widely. The ladder-level analysis found that many educational programmes are designed at the higher rungs of “co-production”, where LEEs collaborate equally with academics. However, some practices are at the lower rungs of “tokenism”, where LEEs are consulted but have limited decision-making power. This may be due to challenges such as a lack of structured support systems, emotional labour for LEEs and inconsistencies in practice. Therefore, greater efforts are needed to move beyond tokenistic involvement towards meaningful co-production in education for people-centred services. By embedding lived experience contributions, education becomes a synergistic practice, continuously shaping and enriching the professional development of both students and the communities they serve. Full article

Smart furniture (smart cities) can provide publicity, mobility services and local government communication, among many other services; however, its use for improving the quality of life of the elderly (extended IP-spaces concept) can be further researched. This paper describes the first step in a collaborative design of a smart city platform based on this concept. This design requires a layered design, as it includes architectonic, artistic, technological and social aspects. Participatory design (PD) and participatory action research (PAR) methodologies were selected to include the elderly in the design to ensure the acceptance and usability of the system. During this specific design process, three groups of elderly people from three geographic points of Spain were recruited. PD was applied to capture the users’ preferences and general specifications regarding the architectonic aspect of the project, while PAR was used to capture these groups’ quality-of-life needs, determine the initial acceptance of the project and define the initial activities to be realized for mitigating the detected needs. The application of these qualitative methodologies should produce a user-centric, valuable but local (specific) design. As more groups and towns will be involved, the new local designs will build a bigger set of validated solutions that potentially could be customized and reused for other contexts. Full article

The smart-city revolution has been promoted as the next step in urban development, leveraging technology to achieve enhanced development standards amid the increasingly complex challenges of urbanization. However, despite the implementation of more efficient urban services, issues regarding their tangible effects and impact on people’s lives remain unresolved. In this context, the concept of intelligent cities is seen as a necessary evolution of the smart-city paradigm, positioning human factors as the driving forces behind urban technological evolution. This integrative concept embodies advanced technology to enhance essential urban functions, with sustainability, equity, and resilience as macro-development goals. This study reviews the multifaceted dimensions of intelligent cities, from designing and deploying smart infrastructure to implementing citizen-centric decision-making processes. Additionally, it critically examines the digital divide and highlights the importance of equitable development policies as essential for enabling transformative urban change. By linking technological advancement to social issues, this article provides practical insights and case studies from the cities of Helsinki, Barcelona, and Buenos Aires, demonstrating that smart-city initiatives are still failing to bridge the equity service distribution gap. This comprehensive assessment approach ultimately serves as a reference for future evaluations of intelligent urban transformations. Full article

Spontaneous recreational activities in public spaces are a vital source of public vitality. Given the similarity between the walking patterns of recreational crowds in public spaces and the movement of electrons on a two-dimensional circuit surface, this study combines big data from various sources to create an “electrical conductivity surface” that attracts and aggregates recreational crowds. Using current flow simulation, we generate the path selection preferences of people as they move across public spaces. The results reveal an uneven distribution of public spaces in Nanjing’s main urban area, with high-vitality areas mostly concentrated in the urban center. The core demand for enhancing public vitality lies is improving connectivity between multiple spaces. Based on this, the public space plan for Nanjing’s main urban area emphasizes overall connectivity by aligning with the natural landscape, thus linking the city’s green and gray infrastructure. In this study, we have assessed current public space services and their development potential from a number of different angles, developing a digital approach for optimizing the urban layout. We aim to provide a human-centric, bottom-up perspective to complement the top-down city planning and management approach. This will enable urban planners to make informed decisions for creating and managing more vibrant cities. Full article

Due to the current and predicted increase in the global demand for water–energy–food (WEF) resources, as well as the inevitable linkages between the WEF sectors and sustainable development, the WEF nexus is rapidly being recognized as a method to effectively manage sustainable development. Many African countries still face challenges in terms of the demand for and accessibility of WEF resources. For this reason, a comparative study of two sites (Narok County and Vhembe District Municipality), which exhibit similar socio-economic, environmental, and technological circumstances, was undertaken. In the present study, we considered 218 questionnaire responses, which we analyzed using partial least squares structural equation modeling (SEM) based on the WEF nexus constructs. This study is anchored on the null hypothesis (H0), whereby no interdependencies exist between the state of the climate and WEF resources, as constrained by sustainable development options. The results show that the proposed hypothesis does not hold, but rather, an alternative hypothesis (Ha)—there exist linkages between climate change and WEF resources—holds. This is demonstrated by the descriptive statistics indicating p values < 0.05 for both the t-test and the Bartlett test. Furthermore, analysis from the multi-regression, particularly for the model where we combined the sites, showed p values < 0.05 and higher adjusted r-squared values, which denoted a better fit. The communities in both study sites agree that the regions have experienced a scarcity of WEF resources due to climate change. The results show that climate change is an intrinsic part of the developmental options for the sustainable livelihood of both study sites, which aligns with the 2030 UN agenda on sustainable development goals targets. Moreover, the sustainable management of natural resources that are people- and planet-centric is crucial to climate change adaptation and mitigation, social justice, equity, and inclusion. The SEM results showed with significant confidence that the water, energy, and food sectors are closely interconnected; however, their impact on climate and sustainability is significantly different. Food has a direct positive impact on climate and sustainability, while both water and energy have an indirect negative impact. Moreover, the climate construct indicated a significant direct link to sustainability for all the relationships explored. This is particularly true because, in most underdeveloped countries, sustainable development and societal wellbeing heavily rely on goods and services derived from natural resources and the environment. This study contributes to the nexus modeling research field by introducing SEM as an innovative methodology over a single equation modeling framework in analyzing variables that have complex interrelationships, facilitating advanced WEF nexus resource governance. Full article

This paper reviews natural capital (NC) valuation approaches in the context of woodland, forest, and riparian ecosystems, emphasising the need for participatory methods to take priority over neoclassical economics approaches. Focusing on research carried out in Scotland, the study analyses findings according to a classification of natural capital initiatives that we have developed, building on ideas proposed by the UK ENCA initiative, a guideline proposed to help researchers and practitioners understand NC and take it into account in valuation, decision-making and policy. We have found that landscape-scale initiatives that address the relationships between people and place to inform value and decision-making beyond the economic (monetary) benefits generated by ecosystem services (ES) are becoming popular. For instance, recent methods employed to capture stakeholders’ non-utilitarian preferences include the use of participatory GIS mapping, scenario planning, and other participatory methods to identify, explore and quantify less tangible cultural ecosystem services (CES). The review shows that many studies provide information relevant to the formulation of a place-based NC approach, working towards the integration of contextual and relational values into land management decisions to help formulate management strategies that maximise ES delivery. Conversely, we have not found evidence of the integration of shared values arising from an eco-centric perspective of nature valuation into the more classical, instrumental value lens. Such an approach would help inform broader, overarching aspects of woodland and forest management that may foster more effective conservation and help to manage conflicts. Full article

Amongst women and gender diverse (WGD) populations experiencing homelessness in Canada, one of the most vulnerable and understudied subgroups are those who are pregnant. A key barrier to accessing housing for this population are policies that lead to siloed sector work and complicated and inaccessible services. Frequent relocation and fragmented access to essential prenatal and postnatal support are the result. Experiences of homelessness for WGD people are distinct from that of cisgender men; the former tend to experience ‘hidden homelessness’ and are more likely to rely on relational, precarious, and sometimes dangerous housing options. The homelessness sector, its policies, and services tend to be cis-male-centric because of the greater visibility of homelessness in cis-men and fail to meet pregnant WGD people’s needs. This paper describes the findings from a one-day symposium that was held in Toronto, Canada, in June 2023 that aimed to address the siloed approach to housing provision for pregnant WGD people experiencing homelessness. A key focus was to understand how to incorporate a gendered and intersectional discourse into practice and policy. Adopting a gender-based analysis plus (GBA+) approach within policymaking can help illuminate and address why certain groups of WGD people are disproportionately affected by homelessness, including Indigenous Peoples, recent immigrants, racialized people, and those experiencing intimate partner violence, poverty, and substance use. Full article

This study focused on the impact of Netflix’s interactive entertainment on Filipino consumers, seamlessly combining vantage points from consumer behavior and employing data analytics. This underlines the revolutionary aspect of interactive entertainment in the quickly expanding digital media ecosystem, particularly as Netflix pioneers fresh content distribution techniques. The main objective of this study was to find the factors impacting the real usage of Netflix’s interactive entertainment among Filipino viewers, filling a critical gap in the existing literature. The major goal of using advanced data analytics techniques in this study was to understand the subtle dynamics affecting customer behavior in this setting. Specifically, the random forest classifier with hard and soft classifiers was assessed. The random forest compared to LightGBM was also employed, alongside the different algorithms of the artificial neural network. Purposive sampling was used to obtain responses from 258 people who had experienced Netflix’s interactive entertainment, resulting in a comprehensive dataset. The findings emphasized the importance of hedonic motivation, underlining the requirement for highly engaging and rewarding interactive material. Customer service and device compatibility, for example, have a significant impact on user uptake. Furthermore, behavioral intention and habit emerged as key drivers, revealing interactive entertainment’s long-term influence on user engagement. Practically, the research recommends strategic platform suggestions that emphasize continuous innovation, user-friendly interfaces, and user-centric methods. This study was able to fill in the gap in the literature on interactive entertainment, which contributes to a better understanding of consumer consumption and lays the groundwork for future research in the dynamic field of digital media. Moreover, this study offers essential insights into the intricate interaction of consumer preferences, technology breakthroughs, and societal influences in the ever-expanding environment of digital entertainment. Lastly, the comparative approach to the use of machine learning algorithms provides insights for future works to adopt and employ among human factors and consumer behavior-related studies. Full article