Search Results (5,480)

The economic resilience of agricultural enterprises is increasingly relevant for maintaining processing continuity and food quality in highly perishable agro-food chains. This study examines the associations between financial knowledge, financial management competency, business liquidity, and operational food-processing continuity in Türkiye’s tea sector. A quantitative cross-sectional design was employed, using structured survey data from 203 senior managers across 86 public and private tea-processing firms in Rize Province. The data were analysed using Ordinary Least Squares regression, mediation analysis, exploratory factor analysis, and robustness checks in accordance with OECD/INFE guidelines. Results indicate a significant deficit in theoretical financial knowledge (mean score: 4.47/10) alongside widespread overconfidence among 85% of managers. Applied financial management competency is positively associated with perceived business liquidity (β = 0.336, p < 0.001), suggesting that practical budgeting, cash-flow planning, and financial decision-making capabilities are relevant to maintaining operational funding capacity. In contrast, cash-flow difficulties are not significantly explained by firm-level financial knowledge, managerial competency, liquidity, or ownership structure (R² = 0.014, p = 0.722), indicating that these difficulties may reflect broader seasonal and sector-wide financing constraints. The findings challenge the assumption of a linear relationship between theoretical financial knowledge and managerial outcomes. They suggest a dual policy approach that combines applied financial management training with structural financing mechanisms to ensure the continuity of fresh leaf procurement and processing. While the study does not directly measure food safety, post-harvest losses, or SDG outcomes, the results have potential implications for reducing processing disruptions and supporting more resilient agro-food processing systems. Full article

Smart tourism destinations, embedded by the internet and information and communication technologies, have been improving tourists’ experiences and connectivity. However, Destination Management Organisations (DMOs) still lack knowledge of how digital technologies can enhance their role and bring greater competitive advantage to destinations. In this sense, this study aims to develop an integrated smart tourism destination management ecosystem model that clarifies the relationships between digital technologies, managerial functions, benefits and implementation barriers within the broader smart city context. The study adopts a mixed-review design, combining bibliometric analysis and a systematic literature review. Bibliometric mapping was conducted using VOSviewer to analyse co-occurrence networks, thematic clusters and research trends. At the same time, the systematic review, with a systems thinking approach, enabled an in-depth qualitative examination of technological applications, managerial roles and governance implications. Data was gathered from 29 Scopus-indexed articles. The analysis identifies key benefits, including enhanced visitor experiences, improved decision-making and increased destination competitiveness, alongside persistent barriers related to governance, digital literacy, interoperability and cybersecurity. Based on these findings, the study proposes a conceptual ecosystem model that illustrates how DMOs can orchestrate digital technologies to support smart, sustainable and adaptive destination management. This research contributes to the smart tourism and smart cities literature by integrating bibliometric insights with a systems thinking perspective to develop a holistic destination management ecosystem model. Unlike prior reviews that address technologies or outcomes in isolation, this study offers a structured and actionable framework that advances theoretical understanding of smart tourism destinations while providing practical guidance for DMOs engaged in digital transformation. Full article

Background: Digital exclusion remains a key barrier to equitable access to digital health services, particularly among individuals with visual impairment. Limited access to devices and digital literacy restricts participation in increasingly digital-first healthcare systems. This study aimed to evaluate the feasibility and exploratory service impact of a device recycling and digital inclusion pilot at a tertiary ophthalmic hospital. Materials and Methods: The six-month pilot at Moorfields Eye Hospital involved the refurbishment and distribution of donated electronic devices (laptops and mobile phones) alongside personalised digital literacy training delivered by trained volunteers. Twenty-two patients with visual impairment were enrolled; 18 completed the programme. Pre- and post-intervention questionnaires assessed digital engagement and confidence across key domains. Paired data were analysed using the Wilcoxon signed-rank test. Results: Across 216 item-level engagement responses, the number of responses indicating daily engagement increased from 31 to 49. Mean self-reported confidence scores improved from 3.1 to 5.1 out of 10 (Wilcoxon signed-rank test, V = 148, p = 0.0008; r = 0.81). Patients reported increased use of email, messaging, online forms, and General Practice (GP) appointment systems. Using secondary lifecycle data and modelled estimates, the reuse of refurbished laptops was associated with an indicative saving of approximately 5.3 tonnes of CO₂-equivalent emissions. Conclusions: This service evaluation suggests that a multi-component intervention combining device provision with tailored support may improve digital engagement and confidence among patients with visual impairment. These findings support the feasibility of integrating digital inclusion initiatives within ophthalmology services, with potential co-benefits for environmental sustainability. Full article

The rapid adoption of Generative Artificial Intelligence (GenAI) tools is transforming learning practices in higher education, raising important questions about their educational value and impact on student learning. This study examines how university students use GenAI tools in both academic and everyday contexts, with emphasis on usage patterns, applications and motivations. A large-scale voluntary survey was conducted with 788 undergraduate students from a single public university in Greece, with respondents drawn from multiple schools and disciplines. Data were collected through an online questionnaire and analyzed using descriptive and inferential statistical methods to explore frequency of use, application categories and motivations for engagement with GenAI tools. The results indicate a high level of reported GenAI engagement among the participants, with ChatGPT emerging as the most frequently used tool. Students primarily rely on GenAI tools for information searching, understanding academic content and supporting academic tasks, while creative and entertainment-related uses are less frequent. Overall, the findings suggest that students perceive GenAI tools as useful for learning support and efficiency improvement. The results indicate that GenAI tools are becoming integrated into students’ reported learning practices. They also highlight the need for clear pedagogical guidelines and systematic AI literacy integration in teaching and learning. Full article

Adolescence is an important period for developing oral health literacy (OHL) and oral health-related knowledge, attitudes, and practices (KAP). Artificial intelligence-based virtual human oral education (AI-VOHE) has been proposed as a tool for school-based oral health education (OHE); however, evidence regarding its educational outcomes among adolescents remains limited. This pilot study compared short-term changes in OHL and self-reported oral health-related KAP between AI-VOHE and conventional face-to-face oral health education (FOHE). A pilot cluster-randomized pre-test–post-test intervention design was employed in two middle schools. Participants received either AI-VOHE or FOHE, and outcomes were assessed immediately before and after two educational sessions using a structured self-administered questionnaire. A total of 268 adolescents were included in the analyses. Linear mixed-effects models were used to evaluate the effects of time, group, and the group-by-time interaction. Both groups showed significant short-term improvements in OHL and self-reported oral health-related KAP following the intervention (all p < 0.05). However, no significant group-by-time interaction effects were observed for any outcome (all p > 0.05), indicating comparable short-term effectiveness between AI-VOHE and FOHE. These findings suggest that AI-VOHE showed short-term improvements in adolescents’ OHL and self-reported oral health-related KAP comparable to those achieved with FOHE. Given the pilot nature of the study, the limited number of schools, and the absence of long-term follow-up, the findings should be interpreted cautiously. Further adequately powered cluster-randomized trials are warranted. Full article

This paper aims to analyse the contributions of studies that link financial literacy (FL) and behavioural finance (BF) in relation to saving and debt behaviours, considering both global and developing economy perspectives. This study employs a semi-systematic literature review (S-SLR) to examine 109 articles sourced from Scopus and Web of Science, published between 2011 and 2024. The evidence shows mixed results regarding the influence of FL and behavioural factors on saving and debt behaviours, with saving receiving greater attention. Most research is quantitative and concentrated in developed economies, although some developing Asian economies are also represented. The in-depth analysis of developing economies indicates that, while FL training and intervention-based approaches are relatively well established, studies integrating FL and BF remain scarce, limiting a comprehensive understanding of financing decisions. Future research should therefore prioritise the developing contexts, adopt more diverse methodologies, and incorporate psychological variables. This S-SLR offers an integrated perspective on FL and BF in relation to saving and debt behaviours as components of financing decisions, contrasting with existing literature reviews, which typically treat these fields separately, focus on investment decisions, and provide limited in-depth analysis of developing economy contexts, while also generating insights to support future research on this interconnection. Full article

Background: The legal dimensions of nursing practice have become increasingly complex, yet the concept of legal literacy in clinical nurses remains insufficiently defined. Existing studies use terms such as legal knowledge, legal awareness, legal cognition, and law-based practice capacity inconsistently, which hinders conceptual clarity, valid measurement, and targeted educational intervention. This study aimed to clarify the conceptual boundaries, defining attributes, antecedents, consequences, empirical referents, and operational definition of legal literacy in clinical nurses. Methods: A concept analysis was conducted using Walker and Avant’s eight-step method. A systematic literature search was performed across six databases and supplemented by searches in JSTOR and HeinOnline for non-clinical uses of the concept. The search covered database inception to December 2024. Screening and reporting followed PRISMA 2020 guidelines. Fifty-six papers were included. Data extraction and analysis were conducted using content analysis with independent dual-reviewer coding. Results: Legal literacy in clinical nurses was distinguished from four related concepts: legal knowledge, legal awareness, legal cognition, and medical ethics. Three defining attributes were identified: normative understanding, value internalization oriented toward rights and responsibilities, and law-based situational practice. Antecedents were identified at macro, meso, and micro levels, while consequences were observed for individual nurses, healthcare organizations, and patient rights. Analysis of empirical referents revealed a persistent gap between conceptualization and measurement, particularly in assessing law-based situational practice. An operational definition was developed accordingly. Conclusions: Legal literacy in clinical nurses is a multidimensional professional competency integrating legal understanding, rights- and responsibility-oriented value internalization, and the ability to translate these into lawful clinical action. The findings provide a conceptual basis for future instrument development and targeted educational and management interventions. Full article

Cinematic representations of mental health operate at the intersection of science, culture and visual meaning, while medical academic discourse plays an important role in shaping how such representations are conceptualized. This study examines how the PubMed-indexed literature (2010–2025) engages with mental health in relation to narrative film and related screen media, combining bibliometric mapping with interpretive analysis. Through a structured PubMed query and VOSviewer co-occurrence analysis, this study identifies 5292 unique terms, of which 530 meet the minimum frequency threshold. Comparison between low- and high-frequency maps reveals a shift from lexical diversity to a consolidated biomedical core centered on classification, diagnosis and measurable affect. Six clusters are identified (neuro-affective, educational stigma, media–behavioral, neuropharmacological–technological, perceptual–emotional and pandemic-related), which together structure the field’s dominant semantic orientations. The findings indicate three main patterns: the predominance of standardized biomedical language, the limited visibility of intersectional categories (e.g., gender, race, identity) at the level of indexed metadata, and a gap between visual processes and narrative meaning. While individual studies often engage with cinematic complexity, this dimension is only partially reflected in the dominant lexical structure. Building on these results, a cluster-informed conceptual framework for film-based medical education is proposed, in which narrative film can support complementary forms of clinical, social and interpretive learning. This study contributes to the field of Medical Humanities by demonstrating that medical discourse not only reflects but also structures the visibility of mental health in relation to screen media, while highlighting the need for more integrated approaches that connect biomedical knowledge with narrative and cultural understanding. Full article

This study provides empirical evidence on the reading and writing profile of adolescents with twice-exceptionality (2e), specifically those presenting both intellectual giftedness and dyslexia (G-D). Using a quantitative approach, the performance of the G-D group was compared with that of gifted students without dyslexia (G) and students with dyslexia without intellectual giftedness (D) in a sample of Spanish secondary school students. The results indicate that G-D adolescents exhibit a heterogeneous performance pattern across literacy-related measures, characterized by relative weaknesses in lexical and syntactic processes alongside comparatively stronger performance in semantic skills. Although they do not systematically outperform or fall behind the other groups, in specific subtests, G-D students show significantly higher scores than the D group and lower scores than the G group in global reading measures, particularly in the General Reading Index and comprehension tasks. These findings highlight the heterogeneous nature of the G-D profile and suggest that cognitive strengths associated with intellectual giftedness may partially compensate for difficulties related to dyslexia. Understanding this dual profile is essential for improving identification processes and for designing more precise and responsive interventions. Full article

Friar Hernando de Talavera can be considered the main strategist of evangelisation at the end of the 15th century in the recently conquered Kingdom of Granada. To this end, he used the publication Breve y muy provechosa doctrina de lo que debe saber todo cristiano together with eight other very useful treatises [Brief and Very Useful Doctrine of What Every Christian Should Know, with Eight Other Very Useful Treatises], which he accompanied with his Instrucción a los vecinos del Albaicín [Instruction to the Residents of the Albaicín]. Successive editions of the catechism and some books included under the generic title Breve y muy provechosa doctrina [A Brief and Very Useful Doctrine] throughout the 16th century demonstrated its doctrinal soundness and pastoral effectiveness. Furthermore, they were later used not only for catechesis but also for literacy in the Kingdom of Granada and in the early days of the American conquest. The study will systematically present the different editions and their intentions from the Granada incunabulum to the present day. The texts composed by the first archbishop of Granada were the words used to unite several kingdoms and conquered territories in the faith and in the Castilian language. The aim of this study is to provide a systematic overview of the various editions published throughout history and to analyse the influence that some of them exerted on the subsequent development of evangelisation in Granada, Castile, and possibly the Americas. Full article

In early childhood initial teacher education, a growing number of mature-aged students with diploma qualifications and years of professional experience are undertaking their early childhood teacher degrees through online modes. Given the national staff shortage of early childhood teachers and the important role of higher education in professional development, it is crucial to support these students’ success in their online learning. Drawing on the critical reflection theory and the notions of “reflection-in-action” and “reflection-on-action”, this autoethnographic study examines a university lecturer’s perspective on the challenges of teaching mature-aged students in online Bachelor of Early Childhood Education programs. Four themes have been identified from the current study: the need for step-by-step technical support for the online learning system; acknowledgment of students’ practical experience contributes to online tutorial classrooms; the need for guidance for ethical and responsible use of Generative Artificial Intelligence (GenAI) in class discussions; and interactive dialogic guidance to support their assessment preparation. This study also included specific pedagogical adaptations to support these students, including offering technical support to assist mature-aged students in transitioning to university study, drawing on students’ professional knowledge to promote active engagement, providing interactive guidance to support understanding of assignment instructions, integrating open discussions about the use of GenAI in online class activities, and asking follow-up questions to encourage critical thinking. This study deepens our understanding of how university educators support mature-aged ECE students in their online learning through tailored pedagogical adaptations that align with their unique needs. Full article

To investigate the interaction between artificial intelligence development (AID) and water–energy–food system technical efficiency (WEF-TE), panel data from 264 cities in China from 2013 to 2023 were utilized, and WEF-TE in the study areas was estimated using Stochastic Frontier Analysis (SFA). Subsequently, the Error Correction Model (ECM) and a random forest model were adopted for empirically examining the adjustment and driving mechanisms of AID on WEF-TE from three dimensions, namely enterprise scale, application level, and workforce literacy. The results indicate the following: (1) China’s WEF-TE generally shows an increasing trend; however, clear differences remain between high-value and low-value regions, and the deviation in lagging areas can reach 0.507. Meanwhile, the Yellow River Basin, which is the core region of China’s WEF system, remains below the national average in the process of technical efficiency optimization. (2) AID has a long-term equilibrium relationship with WEF-TE across the research dimensions and can effectively adjust technological inefficiencies in the short term, with adjustment coefficients ranging from 0.004 to 0.021 under different test rules. (3) In terms of enterprise scale and application level, the driving effect of AID on WEF-TE is relatively strong, with feature weights of 0.16 and 0.155, which are close to those of human capital input (0.172) and industrial structure rationalization (0.15). This study provides important reference value for constructing an interdisciplinary research framework that integrates WEF Nexus with AID. Full article

Background: Unmet healthcare needs are a significant public health concern among older adults, particularly those with chronic conditions such as osteoporosis. This study aimed to identify several key factors associated with unmet healthcare needs among older adults with osteoporosis using Andersen’s behavioral model. Methods: This observational, cross-sectional study examined data from the 2025 Korea Community Health Survey, analyzing responses from 20,988 individuals aged ≥ 65 years with physician-diagnosed osteoporosis. General characteristics were analyzed using descriptive statistics in terms of frequencies and percentages. Variables were categorized into predisposing, enabling, and need factors. Complex sample analyses were performed using the Rao–Scott chi-square test and multivariable logistic regression. Results: In the multivariable analysis, female sex (adjusted odds ratio [aOR] = 1.44, 95% confidence interval [CI]: 1.08–1.91), poor health literacy (aOR = 1.56, 95% CI: 1.31–1.87), and rural residence (aOR = 1.36, 95% CI: 1.18–1.58) were significantly associated with higher odds of unmet healthcare needs. Among the need factors, fall experience (aOR = 1.56, 95% CI: 1.34–1.83), pain or discomfort (aOR = 2.40, 95% CI: 1.93–2.99), and elevated stress (aOR = 2.37, 95% CI: 2.02–2.79) were also significantly associated with unmet healthcare needs. Conclusions: Beyond accessibility, unmet healthcare needs among older adults with osteoporosis in Korea were associated with cognitive, health-related, and regional factors. Interventions should prioritize improving health literacy, managing pain and psychological distress, and strengthening osteoporosis care pathways, specifically focusing on follow-up care and fragility fracture prevention. Full article

Artificial intelligence has been effectively integrated into every stage of undergraduate research, significantly improving students’ learning efficiency. Against this backdrop, artificial intelligence is no longer merely an optional external tool, but has become an extension of college students’ personal capabilities—that is, “AI identity.” The study constructs a moderated dual-mediation model from the perspective of ambidextrous learning. Moving beyond prior work on AI usage frequency or literacy, this study centers on AI identity and reveals the double-edged effect of AI identity on research creativity, with a positive indirect effect via exploratory learning and a negative indirect effect via exploitative learning, along with the asymmetric moderating role of ethical dilemmas on these two pathways. Using questionnaire surveys analyzing 451 college student responses, the results demonstrate that AI identity positively correlates with research creativity, where exploratory learning serves as a positive mediator while exploitative learning acts as a negative mediator. Ethical dilemmas moderate the relationship between AI identity and ambidextrous learning. These findings provide actionable insights for higher education institutions to foster students’ exploratory AI use, mitigate overreliance, and establish ethical governance frameworks for AI-assisted research, thereby assisting universities in guiding students toward developing a healthy understanding of AI identity and refining ethical guidelines for AI applications. Full article