Search Results (2,329)

As rural revitalization advances, the age-friendliness of public spaces directly impacts the well-being of left-behind elderly populations. However, the spatial and social marginalization of these vulnerable groups in tourism-driven peri-urban villages remains critically underexplored. To bridge this gap, this study proposes a quantitative evaluation framework integrating space syntax and multiple linear regression to investigate the matching mechanism between physical spatial layout and elderly activity needs. Focusing on Shixia Village in Beijing, surveys and satisfaction assessments were conducted with 30 elderly residents (representing a rigorous 27.3% of the permanent population). Space syntax analysis revealed a distinct “core-periphery” spatial differentiation. Despite a moderate spatial intelligibility (0.586), the rapid decay of integration in peripheral clusters acts as the primary physical bottleneck restricting the elderly’s social radius. Furthermore, regression results indicate that public facility accessibility (β = 0.703) and residential environment quality (β = 0.779) are the core positive drivers of satisfaction (p < 0.001). Conversely, road connectivity exhibited an unexpected negative correlation (β = −0.308). This highlights a crucial “double-edged sword” effect: in traditional villages with tourism development, excessive spatial permeability diminishes the elderly’s territorial sense of security due to external traffic interference. Finally, targeted optimization strategies—including traffic-calming interventions and hierarchical node layouts—are proposed, providing an operational evaluation model and design reference for age-friendly environmental construction in similar peri-urban villages. Full article

The intersection of digital citizenship, sustainable education, and community belonging represents an emerging yet underexplored area of inquiry, particularly within Arab higher education contexts where institutional digitalization is accelerating alongside distinct sociocultural expectations around academic identity. This study aims to investigate the mediating role of sustainable education in the relationship between digital citizenship and community belonging among Egyptian university students. A quantitative cross-sectional survey design was employed with a main sample of 819 university students. Participants completed three validated instruments: the Revised Digital Citizenship Scale, the Sustainable Education Scale, and the Where I Belong Survey. Mediation analysis was conducted using Hayes’ PROCESS macro with 5000 bootstrap resamples. Results reveal that digital citizenship is significantly and positively associated with both sustainable education and community belonging. Sustainable education, in turn, significantly predicts community belonging after controlling for digital citizenship, with the indirect effect accounting for approximately 38% of the total effect, consistent with partial mediation. These findings demonstrate that responsible digital engagement is associated with community belonging not only directly but also in a pattern statistically consistent with partial mediation through sustainability-oriented values including equity, inclusiveness, and democratic participation. These findings suggest theoretically informed directions for future intervention design, wherein integrating sustainable education principles into digital learning environments may warrant empirical investigation as a potential approach to cultivating ethically grounded, socially cohesive academic communities. Full article

This study examines workplace bullying within the middle-management tier of a large Gauteng-based retail organisation in South Africa, with a focus on structural organisational pressures and perceptual differences among managers. While traditional research often emphasises individual personality traits or victim demographics, this study explores how organisational conditions—particularly the “middle management squeeze” and performance-driven Key Performance Indicators (KPIs)—are reflected in workplace behaviours. Grounded in a positivist paradigm, a quantitative cross-sectional survey was conducted among a probability-based sample of 253 retail managers. Data were collected using the Negative Acts Questionnaire (NAQ-22) and analysed using Exploratory Factor Analysis (EFA) and nonparametric inferential tests. The findings indicate that task-related negative acts, such as micromanagement (M = 2.00) and persistent monitoring (M = 1.87), are frequently experienced. EFA identified two dimensions—General Harassment and Managerial Control—accounting for 62% of the total variance. Inferential results show that perceptions of General Harassment differ significantly across educational groups (p = 0.0268), whereas perceptions of Managerial Control remain consistent (p = 0.3378). These findings indicate that social forms of incivility are interpreted differently across educational cohorts, while task-related managerial practices are widely normalised. The study highlights the importance of understanding workplace bullying as both a structural and perceptual phenomenon and underscores the need for organisational interventions that address systemic pressures rather than relying solely on individual-level approaches. Full article

The incorporation of digital technologies has transformed Social Work, generating new demands in terms of professional competencies. It is worth questioning whether, in contexts as sensitive as social services, the mere acquisition of instrumental mastery of these tools is sufficient to ensure safe practice. Considering that the level of proficiency with these tools is influenced by age, the aim of this study is to conduct a comparative analysis of the digital competence levels of social work professionals and students in order to contrast the skills and shortcomings of both groups. To achieve this, a quantitative methodological design was employed using questionnaires based on the European DigComp 2.2 framework. The sample included 451 professionals from Spain and 171 students from the University of Huelva, whose data were processed using statistical software (SPSS 27). The results show that students display a higher overall level of digital competence, particularly in the creation of digital content and the use of artificial intelligence tools. Professionals, on the other hand, demonstrate stronger competencies in digital security and data literacy. The findings reveal a clear complementarity between the two groups, highlighting an opportunity for mutual feedback and learning that can help combine technological efficiency with ethical responsibility and respect for human rights. Full article

This study explores the environmental justice issues associated with landfill compensation policies in Bantargebang, Indonesia. Although compensation programs have been implemented for many years, communities living near landfills continue to experience ongoing environmental damage and significant health concerns. Using a qualitative descriptive method, this research explores systemic barriers through in-depth interviews, observations, and water quality analysis. The findings indicate that labeling the program as “Social Assistance” within the Local Government Information System (SIPD) redefines ecological compensation as a fixed form of charity, rather than as a mechanism for genuine environmental restitution. Laboratory data show severe bacteriological contamination, with Total Coliform levels reaching 95%, forcing residents to bear substantial “hidden costs” for clean water, perpetuating a cycle of financial dependence. The growing normalization of health hazards is evident in over 5000 annual cases of acute respiratory infections, and the deadly landslide in March 2026, in which claimed seven lives and injured six others. These incidents underscore the failure of existing remediation approaches to safeguard human dignity and well-being. To address these shortcomings, this study proposes the adoption of an Integrated Compensation Model based on Green Social Work. This model emphasizes structural investment, spatial risk-based indices using quantitative data, and budget coding adjustments within the SIPD. This approach highlights the urgent need to move beyond temporary charitable assistance and instead pursue meaningful environmental justice, while positioning social workers as “Social-Ecological Brokers” who help restore dignity and well-being in communities often treated as “sacrifice zones.” Full article

Background: Suicide among emerging adults has become a significant global public health concern. Suicidal ideation is the prerequisite for suicide, and social support is recognized as a key protective factor against suicidal ideation. However, the relationship between the strength and consistency of social support and suicidal ideation among undergraduate students remains unclear. This study synthesized empirical studies to quantify the relationship between social support and suicidal ideation among undergraduate students and determine the different correlations between various sources of social support and suicidal ideation. Methods: A systematic review and meta-analysis was conducted following PRISMA 2020 guidelines. Five electronic databases (Web of Science, Scopus, PubMed, ProQuest, and ScienceDirect) were searched for studies published from 2016 to 2025. Eligible studies reported quantitative associations between social support and suicidal ideation among undergraduate students. Correlation coefficients were transformed using Fisher’s z and pooled using a random-effects model. Heterogeneity was evaluated using Cochran’s Q and I² statistics. Risk of bias assessments, moderator analysis, sensitivity analysis, subgroup analysis, and publication bias assessments were conducted. Results: Fifteen studies with sixteen independent effect sizes and more than 26,000 participants were included. The meta-analysis showed a moderate negative association between social support and suicidal ideation (pooled r = −0.33, 95% CI [−0.40, −0.25]) under a random-effects model. A high heterogeneity was observed among studies (I² = 97%, p < 0.001). There are no studies classified as having a high risk of bias. The standardized sample size demonstrated a significant moderating effect (β = 0.2568, p = 0.0022). Sensitivity analysis confirmed the stability of the pooled effect. Subgroup analysis indicated that the strength of the association between social support and suicidal ideation did not differ significantly between Asian and non-Asian studies. No significant publication bias was detected (Egger’s p = 0.19). Narrative synthesis further suggested that family support showed the most consistent protective association compared with friends’ support and support from others. Conclusions: Social support is moderately and consistently associated with reduced suicidal ideation among undergraduate students. These findings highlight social connectedness, particularly family support, as a central interpersonal protective factor and strengthen social support’s role in university suicide prevention initiatives. Full article

In the digital era, online attention has become a key indicator of tourism competitiveness and destination visibility. This study proposes a two-dimensional framework to evaluate the competitive state of online attention by combining its current magnitude and growth dynamics. Using Baidu Index data, the study applies the Boston Consulting Group (BCG) matrix and the coefficient of variation to analyze online attention patterns of Beijing’s 5A–level tourist attractions from 2011 to 2025. The results show clear polarization in online attention. A small number of iconic attractions consistently dominate digital visibility, while many other sites exhibit unstable and uneven attention trajectories. These patterns reflect the cumulative effects of consumer behavior, information-seeking preferences, and algorithmically mediated content environments, which reinforce attention concentration and competitive inequality over time. External shocks, particularly the COVID–19 pandemic, caused sharp declines in online attention in 2020, followed by an uneven recovery in subsequent years, highlighting the volatility of digital attention systems. The study also demonstrates the managerial value of the proposed framework. By classifying attractions according to attention levels and growth potential, the framework supports differentiated marketing and demand–redistribution strategies. For instance, increasing the visibility of high-potential but under-visited attractions can help redirect visitors away from overcrowded “Star/GC” sites and encourage more balanced spatial and temporal visitation. Overall, this study proposes a quantitative and replicable framework that integrates digital attention dynamics, algorithmic filtering, and consumer behavior into destination competitiveness analysis. The framework supports evidence-based and sustainability-oriented destination management by informing adaptive marketing and demand management strategies that can help alleviate overtourism and balance visitor flows. However, the study relies on a single digital platform and lacks direct sustainability indicators. Future research should integrate multi-platform data and link online attention metrics to measurable environmental, social, and economic sustainability outcomes. Full article

Socio-environmental conflicts in mining regions are often examined through political, economic, or social lenses, while the role of land-system transformation remains less integrated into quantitative analysis. This study examines the co-evolution of socio-environmental conflict and territorial change in Las Bambas (Apurímac, Peru) as a socio-territorial process. Annual conflict records from the Peruvian Ombudsman’s Office (2007–2024) were combined with annual land-cover data from MapBiomas. Yearly conflict influence zones were reconstructed from reported affected communities and geographic features using buffered spatial entities and concave hull polygons. Clustering methods (K-medoids, DBSCAN, and agglomerative hierarchical clustering) and FP-Growth association rule mining were applied to 23 unique conflicts consolidated from the original records and encoded with 10 root causes. The most intense conflict phases were accompanied by measurable landscape transformations, including the emergence of mining-related land cover from 2012 onward, sustained loss of high-Andean natural vegetation, expansion of agricultural mosaics, urban growth along the Apurímac–Cusco corridor, and hydrological alterations in wetlands and headwaters. Three conflict typologies were identified, with unfulfilled company commitments emerging as the most recurrent co-occurring grievance. The dynamic polygon approach offers a replicable framework for linking conflict records with land-system change in extractive regions. Full article

This article advances a critical rethinking of digital transformation in craft-based and socially embedded production systems by examining ateliers of social integration as community-led solidarity spaces where sewing and embroidery practices intersect with relational, care-oriented, and collective dimensions. Existing debates on digitalisation remain largely centred on automation, scale, and efficiency, overlooking how technology operates within care-based and territorially embedded economies. To address this gap, the article develops an alternative analytical framework grounded in relational economies and the ethics of care. While the phenomenon is transnational, the empirical analysis focuses on the Italian context and draws on data from CreAbility, an ongoing action-research project aimed at building a digital community of micro and small fashion enterprises, associations, and designers characterized by social and cultural impact. Against dominant, scale-oriented models of innovation, the article conceptualises ateliers of social integration as relational ecosystems in which value is co-produced through social ties, inclusion practices, and localized knowledge. From this perspective, digital technologies serve as situated mediators that extend and amplify proximity-based relations. This reframing challenges linear and growth-centred accounts of digital innovation, instead proposing a non-linear, care-centred, and place-based model of digital transformation. Methodologically, the study adopts a mixed-methods design combining quantitative and qualitative techniques. Data were collected between June and July 2025 through an online questionnaire distributed to a broader population of Italian ateliers of social integration and were complemented by participatory focus groups involving organisational representatives. The findings show that these ateliers operate as infrastructures of proximity in which production, care, and community are co-constitutive, and where digital practices support forms of extended embeddedness rather than substitution. In doing so, the article contributes to debates on digitalisation, social innovation, and the care economy by showing how alternative, relational, and non-scalable models of production can reshape the meaning and the trajectories of innovation. Full article

Business-to-consumer (B2C) e-commerce firms operate in fast-changing digital markets, where timely interpretation of external signals may strengthen organisational agility. This study examines how four dimensions of competitive intelligence—market, technological, social, and competitor intelligence—relate to organisational agility in Croatian B2C e-commerce firms. The study adopted a pragmatic explanatory sequential mixed-methods design. Quantitative data were collected through an online survey, and 208 valid responses were analysed using reliability testing, construct-validity assessment, correlation analysis, and multiple regression. Qualitative follow-up evidence was used to support the interpretation of the quantitative results. The findings show that the effects of competitive intelligence dimensions on organisational agility are not uniform. In the final validated model, social intelligence emerged as the only significant positive predictor of organisational agility, while market intelligence, technological intelligence, and competitor intelligence did not show statistically significant effects. The study therefore suggests that, in this context, systematic attention to customer conversations, online feedback, and socially visible market signals may play a more decisive role in supporting agile organisational responses than other intelligence domains. The study contributes to the competitive intelligence and agility literature by showing that intelligence dimensions should be examined separately rather than treated as a single undifferentiated capability in digital commerce settings. Full article

While Environmental, Social, and Governance (ESG) rating divergence poses a barrier to accurate sustainability measurement and sustainable investment, how internal managerial cognition addresses this external market misalignment remains underexplored. To address the research question of how executive focus shapes market consensus on corporate sustainability, this study integrates the Attention-Based View and Signaling Theory to examine the potential mitigating role of Top Management Team (TMT) environmental attention on ESG rating divergence. Utilizing high-dimensional fixed-effects regressions and textual analysis, we analyze a sample of Chinese A-share non-financial listed firms from 2015 to 2023. Empirical results indicate that a transparent and forthcoming managerial environmental focus helps reduce rating divergence, thereby partially aligning informational baselines. This cognitive alignment can act as an information calibrator, particularly when environmental issues match the firm’s core industry materiality, and this association appears more pronounced in regions with stringent environmental regulations. Robustness checks support the notion that substantive, quantitative sustainability disclosures driven by executive attention assist in alleviating informational misalignment among external rating agencies. These findings offer socio-economic and policy insights for advancing sustainable development, suggesting that regulators could consider encouraging structured sustainability reporting to support the role of executive cognition in standardizing ESG measurements. Full article

A holistic approach that prioritizes economic success and sustainable practices through Corporate Social Responsibility (CSR) is crucial for the long-term sustainability of organizations, including the tourism and hospitality industry, and the first step is CSR knowledge. The aim of this study is to identify the key factors influencing the level of Corporate Social Responsibility (CSR) knowledge in the hospitality industry, as a practical tool for the sustainability of the territories. For this purpose, the research was conducted using a quantitative methodological approach by applying a CSR questionnaire to hotel managers from a sample of 222 hotels in the Colombian Caribbean. Multivariate statistical techniques were applied, specifically Principal Component Analysis (PCA) and Multiple Linear Regression (MLR). The Principal Component Analysis determined two dependent variables (Basic CSR Knowledge and Advanced CSR Knowledge) and subsequently a Multiple Linear Regression was applied to each one, determining which independent variables (treated as dummy variables) have significant effects. The results have led to the conclusion that the CSR knowledge of the hotel sector in the Colombian Caribbean is positively influenced by hotel-related factors—such as age, management contract type, financial performance, and investment in innovation—as well as by managers’ gender and educational attainment. These results have important implications for the hotel sector and academia. Future research should consider more stakeholders and other geographical areas. Full article

This study examines the relationship between institutional embeddedness, community factors, and the outcomes of labor market integration programs in contexts characterized by high social vulnerability and unemployment. The aim is to analyze how the local embeddedness of organizations and the mobilization of community resources influence the effectiveness of interventions designed to enhance employability. A mixed-methods approach was employed, combining qualitative and quantitative techniques. Data were collected from 100 participants in a labor market integration program in a southern Spanish city, using standardized scales that measured the sense of community, perceptions of community assets, employability, and perceived impact of the program. Additionally, the program’s implementation team was interviewed, a documentary analysis was conducted, and direct observations of training and job-placement activities were carried out. The findings highlight that the institutional and community embeddedness of organizations facilitates access, sustained participation, and the contextual adaptation of interventions. Connection with local dynamics is crucial for enhancing the impact of labor market integration programs, allowing for more personalized interventions that are sensitive to sociocultural barriers and focused on improving employability and the overall well-being of individuals at risk of exclusion. Full article

Trust decay in social media is a serious threat to user experience and platform ecology. To solve this problem, this paper focuses on triadic closure in the infrastructure of social networks and explores its mechanism in trust decay prevention. Based on the systematic comparison of the ER random graph, the BA scale-free network, a forest fire model, and complete graph approaches, two core metrics, the trust decay risk index and trust resilience index, are proposed in this paper. Combined with structural indices such as the clustering coefficient, the average path length, and the triangular closure number and its growth rate, the quantitative relationship between network structure evolution and trust decay risk is established. It is found that the forest fire model exhibits optimal trust resilience in structure due to its power-law growth characteristics of high clustering, short path length and triangular closure; the dynamic mechanism of trust decay under different network growth modes is significantly different. The validity of the theoretical framework is further supported by the verification of Sina Weibo attention relationship network data. The analysis framework of network growth evolution based on fusion triangle closure and the risk and resilience indicators defined in this paper provides a computable theoretical tool for understanding and predicting trust evolution in social media from the perspective of network structure. Full article

This study aimed to explore athletes’ experiences of transitioning out of sport following spinal cord injury (SCI). Using a multiple-case study design, three former nondisabled competitive athletes participated in one-on-one semi-structured interviews. The participants’ interview responses were informed by quantitative measure data collected prior to the interviews using the Athletic Identity Measurement Scale, the Social Support Questionnaire-6, and the Satisfaction with Life Scale. The thematic analysis of the interviews revealed that participants experienced a range of cognitive, emotional, social, and behavioral influences during the transition process. These influences contributed to outcome-related appraisals of post-SCI transition. Balanced self-identity, adaptive sport participation, and peer-mentor relationships were common factors influencing athletes’ transition with spinal cord injury. The results partially support the conceptual model of adaptation to career transition and extend it to account for athletes’ experiences following SCI. The results also benefit rehabilitation professionals and athletes with spinal cord injury by providing insight into psychosocial factors and resources that may influence the transition experience. Full article