Search Results (163)

With the advent of the Fourth Industrial Revolution and the rise of new forms of productive forces, the ways humans interact with space, objects, and information are being profoundly reshaped, bringing unprecedented possibilities for upgrading interactive spaces—human settlements that integrate physical and digital environments. Against this background, using the literature on interactive space research from the Web of Science (WoS) Core Collection between 1990 and 2025 as the data source, this study employs CiteSpace software to generate scientific knowledge maps, analyzing the historic development, hotspots, and trends in the research of interactive space, providing both theoretical and data support. In terms of results, a total of 458 papers were collected, demonstrating a consistent year-on-year increase. The research spans multiple fields, including computer science, architecture, ecology, physics, design, and behavioristics. Specifically, results indicate that research hotspots in interactive spaces include collaborative governance, social coexistence, and sustainable renewal, all of which are highly relevant to activating human settlements. The vitality of interactive spaces can be constructed across multiple dimensions, (for instance, enhancement based on ecology, environment, culture, and other factors of the space). However, research on interactive spaces still suffers from a lack of interdisciplinary collaboration and multi-domain integration; therefore, it is essential to strengthen cooperation among relevant fields. Current research lacks interdisciplinary integration and dynamic response mechanisms. Based on these findings, this study, through visual analysis, reveals the research hotspots and evolutionary trajectory of interactive spaces and proposes a “technology–humanism–governance” trinity framework. This system should be based on technology as the means, humanism as the guiding principle, and effective governance as the goal. It aims to explore how to leverage the service-oriented and convenient nature of technology in interactive spaces to deepen human-centric design and thereby drive the optimization of systems. Based on these findings, future research on interactive spaces should shift its design philosophy to be more human-centric, establish a multidisciplinary research system, utilize local empirical cases, and develop scalable, applicable theories to construct harmonious, open spaces, enhance human–environment relationships, and provide other countries undergoing urbanization with practical solutions. Full article

Accessibility indicators derived from web-map platforms are increasingly used in sustainable spatial planning, service allocation, and land-value modelling, particularly in data-constrained regions. Yet the reliability of such source-dependent measures for decision-making remains insufficiently examined. Using paired parcel-level data from Khyber Pakhtunkhwa, Pakistan, this study conceptualizes accessibility as a spatial measurement process with structured source uncertainty by directly comparing platform-derived (PD) and field-verified (FV) nearest-facility distances across five facility types. Cross-source analysis reveals substantial facility-specific discrepancies in both magnitude and rank ordering, with certain facility types exhibiting near-random or reversed parcel rankings between sources. Spatial diagnostics further demonstrate that discordance events are geographically clustered rather than randomly distributed. An exploratory local amenity-density check further shows that mismatch prevalence varies systematically with nearby POI context, although the relationship is heterogeneous rather than uniformly sparse-driven. Under spatial block cross-validation, land-value models using FV accessibility consistently outperform PD-based models, while PD-based models display fold-level instability. Moreover, coefficient sign orientation and relative importance vary systematically across sources, indicating interpretation sensitivity to measurement choice. Importantly, reducing magnitude error alone does not restore decision reliability when ordering instability persists. These findings show that accessibility source choice can reshape spatial prioritization and inferred price gradients, introducing decision risk into sustainability-oriented planning. We therefore propose a minimum reliability protocol—including discrepancy profiling, ordering diagnostics, spatial discordance mapping, and spatially structured validation—to support transparent and defensible accessibility analytics in data-constrained environments. Full article

Introduction: In recent decades, demographic aging has led to an inversion of the population pyramid, with a marked increase in the proportion of older adults. This shift has been accompanied by a higher prevalence of chronic and life-limiting diseases, while there have also been significant technical and scientific advances. However, these developments have not been matched by a proportional expansion of healthcare human resources, including in palliative care (PC). Consequently, healthcare systems face increasing pressure, particularly in the provision of end-of-life care. Artificial intelligence (AI) has emerged as a promising tool to support and improve healthcare delivery. Objective: This study aims to review the literature on the impact of AI on palliative care, with particular emphasis on its clinical applications and ethical implications in end-of-life care. Methods: A narrative review was conducted using a structured search of PUBMED, CINAHL and Web of Science databases, covering publications from the last ten years (2015–2025). Search terms included combinations of “artificial intelligence”, “machine learning”, “palliative care”, “end-of-life care”, and “ethics”. Articles were included if they addressed clinical applications, implementation challenges or ethical aspects of AI in PC. Reference lists of selected articles were screened to identify additional relevant studies. The findings were analyzed and synthesized thematically into key domains of application and ethical concern. Results: The literature suggests that AI is currently a promising tool in PC, particularly in prognostication, symptom assessment, clinical decision support, and communication. These applications may represent a paradigm shift compared to conventional approaches. However, it is important not to forget that patients in PC need much more than algorithmic decision trees. Thus, current evidence is largely exploratory, with limited real-world validation. Empathetic emotional support, physical comfort and compassion are things that artificial intelligence cannot provide. AI does not replace humans in interpersonal relationships and dignity; it only complements them. Conclusions: AI-based technologies hold significant potential to address contemporary challenges in PC, including inequitable access, workforce strain, and the need for more efficient service delivery. Nevertheless, their implementation raises substantial ethical concerns related to autonomy, transparency, data governance, and the preservation of human dignity. AI should therefore be understood as a complementary tool that supports—but does not replace—the human dimension of PC. Full article

Background and Objectives: Social Determinants of Health (SDoH) are factors that can contribute to health inequities. Improving the conditions in which people are born, grow, and live requires collaboration between professionals from different health sectors. Given their health and well-being-focused care, nurses are crucial to promoting health equity in the care they provide. Thus, their knowledge, attitudes, and actions—i.e., practice—(KAP) regarding SDoH could serve as a helpful starting point for promoting care that also focuses on non-medical factors. This study aims to map the SDoH assessed in the literature in relation to nurses’ and nursing students’ KAPs, using the Dahlgren–Whitehead Rainbow Model as a logical framework. Methods: Following PRISMA guidelines, a systematic literature review was conducted using PubMed, Scopus, Web of Science, CINAHL, and PsycINFO. Records published until June 2024 were selected from primary studies involving nurses and nursing students, with no time limits. The assessed determinants were adapted and categorised according to the Rainbow Model Levels. Results: 22 results were eligible. The SDoH (in general), poverty, social justice, social gradient, social inclusion and exclusion, discrimination, diversity, equity and inequality, food insecurity and access to nutritious food, employment status, geographical isolation, healthcare services, housing difficulties, transportation, social support, individual lifestyle factors, and health literacy were assessed on KAPs. Conversely, health equity has been assessed just for knowledge and attitudes. Considering the latter level of the Rainbow Model and the relative categorisation of the results, age, sex, and constitutional factors were not examined in the studies included in this review. Conclusions: This review maps the most and least frequently assessed SDoH in relation to KAP. As nurses are essential to providing care that considers SDoH, improving health outcomes, and addressing health inequities, and advocating for community health, it would be valuable to enhance nursing education from baccalaureate through postgraduate courses. Moreover, a strong relationship with different healthcare professionals is needed. Full article

E-government adoption rates in emerging economies remain persistently low despite substantial infrastructure investments. Understanding adoption drivers requires synthesizing fragmented empirical evidence on technology acceptance and service quality factors across diverse contexts. Purpose: This study aimed to quantify relationships between (a) perceived ease of use and perceived usefulness, (b) perceived usefulness and behavioral intention, and (c) service quality and user satisfaction in emerging economy e-government contexts. Methods: Following PRISMA 2020 guidelines, we systematically searched Scopus, Web of Science, and Google Scholar (January 2021–October 2024) for peer-reviewed studies reporting standardized path coefficients from structural equation models examining e-government adoption in emerging economies. Two independent reviewers screened 191 records; 15 studies (23 effect sizes; 6732 participants across 10 countries) met inclusion criteria. Three separate random-effects meta-analyses using restricted maximum likelihood estimation assessed pooled effects, heterogeneity, publication bias, and sensitivity to influential observations. Results: Perceived ease of use strongly predicted perceived usefulness (β = 0.385, k = 7, N = 2516), perceived usefulness moderately predicted behavioral intention (β = 0.289, k = 10, N = 3846), and service quality predicted user satisfaction (β = 0.261, k = 6, N = 3151). All effects were statistically significant (p < 0.001) with substantial heterogeneity across studies, and sensitivity analyses confirmed robustness. All prediction intervals remained entirely positive, and sensitivity analyses confirmed robustness. Conclusions: Technology acceptance and service quality constructs consistently predict e-government adoption in emerging economies, though effect sizes are attenuated compared to developed-country benchmarks. The systematic heterogeneity gradient (I²: 89.5%→69.5%→58.4%) indicates that technology acceptance constructs require greater contextual adaptation than service quality dimensions. Policymakers should prioritize interface simplification and address ecosystem barriers to connectivity, digital literacy, and institutional trust alongside system design. Full article

Financial inclusion should be shared with university students so that they link access to and use of financial products and services to low costs, without discrimination or inequality, to achieve the Sustainable Development Goals. This study aims to map the literature on the relationship between financial inclusion and undergraduate students within a contextual approach. The mapping was conducted through a scoping review, utilizing keyword pairwise searches, which we referred to as contextual constellations, as an emergent method. The search was conducted on the Web of Science and Scopus databases. The range of publications found ranges from 1973 to July 2024. The contextual analysis considered the following keywords: financial inclusion, undergraduate students, financial literacy, financial well-being, experiment, behavior, sustainable development goals, social and solidarity economy, decision, and innovation. The relationships were analyzed using VOSviewer software, version 1.6.20. The findings found the main articles that have contributed to knowledge about the relationship between financial inclusion and undergraduate students from the proposed context. Therefore, the research gaps in the relationship between financial inclusion and undergraduate students were identified. This research also offers the potential to conduct a mapping from a contextual perspective, identifying strong and weak relationships between research topics and keywords of interest. Full article

Although the health risks associated with exposure to potentially harmful elements (PHEs) are well documented, there is still limited research on their accumulation at trace concentrations in small mammals inhabiting agricultural ecosystems. This study provides the first comprehensive assessment of PHE accumulation in fossorial water voles (Arvicola scherman) from two low-input apple orchards (Nava and Oles) located in Asturias, northwestern Spain, demonstrating its value as a potential bioindicator of trace element inputs. We quantified the concentrations of three toxic metals (Pb, Cd, and Hg) and selenium (Se), an element with concentration-dependent toxicity, in kidney, liver, and muscle tissues. We also determined inter-population differences and associations with body condition. Overall, element concentrations generally reflected the natural content of the local soils, except for Cd in the kidney, which exceeded soil levels, highlighting its strong affinity for this organ. Significant differences in Pb, Cd, and Se accumulation were found among tissues, with the kidney showing the highest levels, underscoring the importance of organ-specific monitoring. The observed positive correlations between body condition and Se and Cd in kidney tissue, and Cd in liver tissue, particularly in the Nava population, suggest that individual health status modulates exposure and accumulation dynamics. Higher PHE burdens were found in Oles specimens, pointing to a potential threshold effect where higher contamination may begin to impair physiological condition. In contrast, Hg showed a negative relationship with body condition, suggesting possible adverse effects even in these low-input systems. These findings highlight the importance of carefully interpreting physiological biomarkers within an ecological context and demonstrate the potential for trace elements to propagate through the food web, with possible cascading effects on predator health and key ecosystem services, such as natural pest control. Future research should extend to more contaminated sites and adopt an integrative framework combining biomonitoring, dietary ecology, and stress physiology to better assess the ecological risks posed by trace elements in agroecosystems. Full article

This paper examines the changes in the level of informal and shadow economy, mapping their evolution within the EU and measuring their implications on economic growth. The study also addresses the issue of conceptual differences in the methodology for measuring these phenomena. We used a two-dimensional methodological approach, combining theoretical and empirical analysis. Initially, the bibliometric analysis—conducted exclusively on the Web of Science Core Collection to ensure methodological rigour, international comparability, and high-quality, standardised data—reveals the evolution of the subject and the inconsistencies in the conceptualisation and measurement of phenomena associated with the shadow economy. Subsequently, the normative analysis highlighted the most relevant norms, directives, and projects developed and applied at the European Union level to prevent and combat tax evasion activities. Finally, the empirical dimension of this study was conducted through structural equation modelling and fixed and random effects regressions, using data from the EU 27 member states for the period 2000–2022. Our results reveal a potential relationship between the level of scientific research and the prevalence of the shadow economy within EU countries and indicate a negative effect of the informal economy on economic growth, as undeclared work produces goods and services that are consumed in the informal economy and hinders economic growth. Since the level of the shadow economy has not decreased proportionally with the increase in the GDP per capita, we conclude that the efforts to combat the shadow economy are insufficient, and tax administration needs to be more drastic and efficient. Full article

Showrooming behavior on the part of consumers undoubtedly undermines the interests of brick-and-mortar (BM) retailers and hinders the growth of the physical economy. In response to this crisis, BM retailers can employ exclusive product strategies, although the questions of which specific strategy is most beneficial and what factors influence retailers’ choices remain unanswered. Based on utility theory and optimization theory, this paper investigates two strategies: the store exclusive brand (SEB) strategy and the well-known exclusive brand (WEB) strategy. First, we identify the pricing methods for both strategies employed by BM retailers, thereby revealing that the pricing of exclusive products under the SEB strategy should be higher than the corresponding pricing under the WEB strategy, whereas the pricing of nonexclusive products should be the opposite. Moreover, service levels should remain consistent under both strategies. Second, both strategies benefit retailers primarily by increasing their market share; interestingly, this process leads to the same overall growth in market share for BM retailers. Third, our analysis reveals that exclusive strategies always yield higher profits than nonexclusive strategies do. We also address the optimal choice between the SEB strategy and the WEB strategy for BM retailers. This choice depends on the relationship between the probability that a consumer can evaluate and purchase the best-fit product correctly online and the proportion of low-type consumers. If the former probability is low while the latter proportion is high, the SEB strategy is the best strategy. Otherwise, the WEB strategy is superior. Finally, numerical examples are provided to facilitate discussion of the effects of critical parameters on the outcomes of both strategies. Overall, this study explores the application of exclusive product strategies by BM retailers seeking to mitigate the negative effects of showrooming on service-oriented products; this research also emphasizes the crucial factors involved in the process of implementing these two strategies. Full article

At present, teachers face working environments characterised by high levels of stress, largely due to constant interaction with students and the multiple challenges inherent in the educational context. In this scenario, the development of socio-emotional competencies (SECs) becomes an essential component of their professional education, as it enables them to manage their emotions effectively and build positive interpersonal relationships within the educational community. Objective: The aim of this research was to analyse the dimensions, strategies, and success factors of education programmes in socio-emotional competencies (SECs) aimed at pre-service teachers. Method: A systematic literature review was carried out using the PRISMA method. Publications in English and Spanish, published between 2019 and 2024 in peer-reviewed academic journals and focused on the university level, were included. Conference proceedings, books, book chapters, and articles not centred on SECs were excluded. The search was conducted in the Web of Science (WOS), Scopus, and ERIC databases, with the final search date being 24 January 2025. After applying the inclusion criteria, eight empirical studies were selected. Results: The reviewed programmes demonstrated similarities in their methodological designs and in the socio-emotional competencies addressed. The practical sessions were based on cooperative methodologies that promoted experiential learning and reflection. The strategies used included video and text analysis, portfolios, role-playing, and simulations. The effectiveness of the programmes was assessed primarily through self-report techniques, such as questionnaires, scales, and interviews. In addition, some studies complemented these strategies with simulations using avatars, content analysis, and digital video recordings. This diversity of approaches reflects the absence of a uniform evaluation criterion; nevertheless, the findings consistently demonstrate the effectiveness of the programmes. Conclusion: The intervention programmes analysed proved effective in developing key competencies in future teachers, such as emotional awareness, self-regulation, empathy, and communication skills. Among the limitations identified in the intervention programmes are biases in sample selection, reflected in the participation of small or unrepresentative groups. This systematic review highlights the relevance of socio-emotional competences in pre-service teachers, addressing the gap caused by the limited number of longitudinal studies. The evidence consolidates current knowledge and underscores effective practices and interventions that enhance educational quality. Full article

Digital transformation has reshaped how cruise firms acquire, engage and retain customers. However, existing research rarely integrates these behavioural dimensions within a unified analytical framework. This study applies a hybrid regression–Fuzzy Cognitive Mapping (FCM) approach to examine how acquisition channels, engagement indicators and online reputation metrics jointly shape website performance and digital innovation among leading global cruise operators. Using multi-source web-analytics data, regression models identify the direct predictive effects of organic, paid, referral and email channels, while FCM captures their non-linear feedback dynamics. Results reveal that visibility does not equate to engagement: organic and referral traffic drive exposure but not depth, whereas authority and reputation mediate engagement–performance relationships. Scenario simulations reveal asymmetric responses within the digital ecosystem. Consequently, balanced, knowledge-driven channel diversification emerges as a key strategic advantage. The findings extend the Knowledge-Based View (KBV) by conceptualising behavioural analytics as organisational knowledge resources that enable adaptive learning and digital innovation. The proposed framework contributes to both tourism analytics and information systems research, offering a scalable model for understanding how data-intensive service firms convert behavioural information into strategic knowledge and sustainable competitive advantage. Full article

Introduction: Mpox emerged as a multi-country outbreak in 2022 and disproportionately affected gay, bisexual, and other men who have sex with men (GBMSM). Stigma is known to exacerbate health crises by discouraging testing, treatment, and vaccination. This review aimed to explore stigma associated with Mpox among GBMSM from July 2022, when mpox was declared a public health emergency of international concern. Methods: The PICO framework guided this narrative review. A search was conducted across the following databases from inception to June 2025: PubMed/MEDLINE, Embase, CINAHL, and Web of Science. The literature had to be empirical, peer-reviewed research that focused on mpox-related stigma in GBMSM. Results: Forty-seven studies were included in this review. The following themes were derived: (1) healthcare experiences, (2) media influence, (3) internalised and anticipated stigma, (4) public health messaging, (5) community responses, and (6) psychosocial impact. Healthcare experiences were marked by anticipated discrimination; many GBMSM delayed testing or vaccination for fear of being disclosed or labelled promiscuous. This was especially apparent in contexts where same-sex relationships are criminalised, leading some men to self-medicate or seek clandestine services. Media analyses revealed that social and traditional platforms often amplified blame and homophobia, though community-led counter-messaging helped shift narratives. Internalised and anticipated stigma resulted in shame, concealment of symptoms, avoidance of care, and heightened anxiety. Public health messaging that framed mpox as a behaviour-linked rather than identity-linked risk was more acceptable, and flexible vaccination strategies (e.g., offering less conspicuous injection sites) increased uptake. Stigma contributed to psychosocial distress and may have impeded outbreak control. Conclusions: Mpox-related stigma among GBMSM operates at individual, community, and structural levels, echoing patterns from the HIV era. Effective mitigation requires rights-based, destigmatising communication, culturally competent care, and collaboration. Addressing stigma is vital to controlling future outbreaks and ensuring equitable healthcare access. Full article

In the digitally saturated hospitality environment, research on digital transformation remains dominated by macro-level adoption trends and user-generated content, while the potential of micro-level web-behavioural data remains largely untapped. Recent systematic reviews highlight a fragmented body of literature and note that hospitality studies seldom address first-party behavioural data or big-data analytics capabilities. To address this gap, we collected clickstream, navigation and booking-funnel data from five luxury hotels in the Mediterranean and employed big-data analytics integrated with simulation modelling—specifically fuzzy cognitive mapping (FCM)—to model causal relationships among digital touchpoints, managerial actions and customer outcomes. FCM is a robust simulation tool that captures stakeholder knowledge and causal influences across complex systems. Using a case-study methodology, we show that first-party behavioural data enable real-time insights, support knowledge-based decision-making and drive digital service innovation. Across a 12-month panel, visitor volume was strongly associated with search traffic and social traffic, with the total-visitors model explaining 99.8% of variance. Our findings extend digital-transformation models by embedding micro-level behavioural data flows and simulation modelling. Practically, this study offers a replicable framework that helps managers integrate web-analytics into decision-making and customer-centric innovation. Overall, embedding micro-level web-behavioural analytics within an FCM framework yields a decision-ready, replicable pipeline that translates behavioural evidence into high-leverage managerial interventions. Full article

Introduction: Healthcare service utilisation for type 2 diabetes (T2D) is suboptimal among people from culturally and linguistically diverse (CALD) backgrounds. Synthesised evidence on drivers influencing their healthcare access and utilisation across the continuum of care (CoC) is scarce. This review synthesised drivers of accessing and utilising healthcare services across the CoC for T2D from the perspectives of people from CALD backgrounds and their healthcare service providers (HSPs). Methods: Five databases (Scopus, PubMed, Web of Science, CINAHL, and PsycINFO) were searched from inception to November 2023. This review was prospectively registered with PROSPERO (ID: CRD42023491560). The McGill Mixed Methods Appraisal Tool (MMAT) was used to assess the quality of articles included in this systematic review. Studies were included if they were primary research involving people from CALD backgrounds and/or their HSPs, and reported data related to access to and utilisation of services across the CoC. The CoC framework was used to conduct a guided thematic analysis for qualitative findings and narrative synthesis was used to summarise quantitative findings. Results: Thirty-five studies were included: 31 qualitative, 3 quantitative, and 1 mixed-method. Psychosocial (e.g., fear of treatment) and sociocultural barriers (e.g., stigma) were reportedly encountered at diagnosis and initiation of treatment. Language and cultural barriers were expressed by most people with T2D and their HSPs, especially at the monitoring and adherence stages of the CoC. Trusted relationships with HSPs and the cultural competency of the HSPs were facilitators of continued monitoring and adherence and long-term care and management. No barriers or facilitators were identified for decision-making to enter the healthcare systems, screening, and first point of contact aspects of the CoC from the perspectives of either patients or HSPs. Conclusions: Although included articles were heavily skewed towards qualitative studies, the synthesised evidence on factors influencing access to and utilisation of healthcare services for T2D can inform policymaking by highlighting pathways to improved use of healthcare services among these groups. Full article

The digital economy is fundamentally transforming urban landscapes by disrupting traditional relationships between land use and land value. This scoping review aims to examine how digital transformations alter urban activities, human behaviours, and mobility patterns, and to assess the subsequent impacts on land use planning and land valuation frameworks. Following PRISMA guidelines, Scopus, Web of Science, Google Scholar, and ProQuest databases were systematically searched for peer-reviewed articles published between 2019 and 2024. Inclusion criteria comprised empirical studies, theoretical papers, and case studies examining digital economy impacts on urban land use or land value. Grey literature, non-English publications, and studies without clear urban spatial implications were excluded. The data were synthesised using bibliometric analysis and thematic analysis to identify patterns of disruption across three domains: urban activities, behaviours, and mobility. Of the 512 initially identified articles, 66 studies met the inclusion criteria. The evidence demonstrates significant geographic bias and methodological limitations, including the scarcity of longitudinal studies tracking actual land value changes and inconsistent metrics for measuring disruption intensity. Despite these limitations, findings indicate that the digital economy is decoupling land value from traditional determinants, such as physical proximity to services and employment centres. These transformations necessitate fundamental revisions to urban planning frameworks, land valuation models, and regulatory approaches to ensure equitable and sustainable urban development in the digital age. Full article