Search Results (405)

This study aims to analyze the effect of individuals’ digital capital on life satisfaction in the digital global marketing environment and to structurally verify the mediating effects of digital self-efficacy and the level of E-commerce utilization in this process. For this purpose, data from the 2023 Digital Divide Survey conducted by Statistics Korea was utilized, and Structural Equation Modeling (SEM) analyses were conducted. The results indicate that the sub-factors of digital capital—digital competence, digital support resources, and social capital—all have significant positive effects on digital self-efficacy. Furthermore, digital self-efficacy exerts a significant positive influence on both the level of E-commerce utilization and life satisfaction. In addition, the level of E-commerce utilization was found to have a modest but statistically significant direct effect on life satisfaction. Mediation analysis based on SEM revealed that digital self-efficacy functions as a key mediating mechanism linking digital capital to life satisfaction. While indirect effects through digital self-efficacy were consistently supported, the sequential mediation pathway involving both digital self-efficacy and E-commerce utilization level appeared relatively weak, suggesting that psychological confidence plays a more central role than behavioral usage alone. Overall, these findings suggest that digital capital extends beyond mere access to technology or frequency of use and forms a structural pathway influencing quality of life primarily through psychological empowerment and, to a lesser extent, digital behavioral engagement. This study contributes to digital divide research by presenting an integrated analytical framework connecting digital capital, digital self-efficacy, E-commerce utilization level, and life satisfaction, and provides empirical evidence supporting the importance of policies and educational interventions that enhance individuals’ digital self-efficacy alongside practical e-commerce-based digital education. Full article

Although research on hotel service robots has been continuously increasing, the existing literature still lacks a systematic exploration of the multiple concurrent mechanisms involved in the formation of user experience. Based on the theory of value co-creation, this study first extracted the key service robot attributes that affect user experience by analyzing 3200 online user notes from the Chinese platform Xiaohongshu. Then, using 433 valid questionnaires, it employed SEM and fsQCA to examine the influence mechanism of service robot comprehensively attributes on user experience. The results of the SEM study showed that the attributes of perceived usefulness, perceived ease of use, anthropomorphism, and service remediation ability of service robots positively influenced customers’ willingness to co-create value, thereby further enhancing the user experience. The perceived privacy risk attribute did not significantly affect customers’ willingness to co-create value. The fsQCA analysis further identified multiple effective configurations, including antecedent configurations with high customer willingness to co-create value, high usage intention, high satisfaction, and high forgiveness intention as outcome variables. This study, through a combination of methods, revealed the complex experiences users encounter during interactions with service robots and regarded customers’ willingness to participate in value creation as a front-end psychological mechanism, providing a new theoretical perspective on the value co-creation process in human–machine collaboration. At the same time, this study, from the user perspective, provided strategies for optimizing user experience and service deployment for Chinese hotel managers. Full article

Background/Objectives: Irritable Bowel Syndrome (IBS) is a widely prevalent chronic disorder of brain–gut interaction which represents a clinical challenge due to its complex underlying causes and the lack of a standardized treatment approach. This cross-sectional research collected real-world data (RWD) on the effectiveness, safety, and usage pattern of a natural substance-based medical device, Colilen IBS, indicated for the treatment of IBS. Methods: Surveys were conducted both in Italy and Germany with 6101 participants, including 4425 patients, 1014 pharmacists, and 662 physicians using a structured GxP web platform that allows voluntary participants to share their experiences with the device. The validated platform was designed to comply with post-market surveillance requirements of EU Regulation 2017/745. Statistical analyses included descriptive evaluations of responses to gauge overall effectiveness and safety of the device. Results: The effectiveness reported with the medical device was judged extreme or great by 79.2% of patients, with 89.2% of whom observed symptom improvement within one month. Both safety and tolerability were rated extreme or great by 90.7% of patients. Healthcare professionals reported a similar rate on the overall effectiveness, with 94.9% of pharmacists and 95.9% of physicians indicating it extreme or great. Similarly, the safety profile was corroborated by nearly all pharmacists (97.0%) and physicians (98.2%) reporting extreme or great satisfaction with both safety and tolerability of the medical device. Conclusions: This research provides RWD supporting the effectiveness and safety of the product for treating IBS. The strong coherence among patients, pharmacists, and physicians in positively rating the device’s performance suggests that this medical device represents a therapeutic option that effectively addresses patient needs while minimizing safety concerns. Continuous RWD collection is essential, as it offers insights into real-world practice and ensures ongoing confirmation of the product’s safety and effectiveness. Ultimately, this will advance IBS patient care by integrating real-world evidence into clinical management. Full article

Public schools often operate with shared devices, unstable connectivity, and limited support for digital tools, which can make feature-heavy platforms difficult to adopt and sustain. This study reports the first formal design iteration and formative evaluation of VLEPIC, a school-centred virtual learning environment (VLE) developed to support secondary English as a Foreign Language in a low-resource Ecuadorian public school. Using a design-based research approach with a convergent mixed-methods design, one Grade 10 cohort (n = 42; two intact classes) used VLEPIC for one month as a complement to regular lessons. Data were collected through questionnaires on perceived usability and motivation, platform usage logs, and open-ended feedback from students and the teacher; results were analysed descriptively and thematically and then integrated to inform design decisions. Students reported high perceived usability and strong motivational responses in attention, relevance, and satisfaction, while confidence was more heterogeneous. Usage logs indicated recurrent but uneven engagement, with distinct low-, medium-, and high-activity profiles. Qualitative feedback highlighted enjoyment and clarity alongside issues with progress tracking between missions, navigation on mobile devices, and task submission reliability. The main contribution is a set of empirically grounded, context-sensitive design principles linking concrete interface and task-design decisions to perceived usability, motivation, and real-world usage patterns in constrained school settings. Full article

As chatbot technology becomes increasingly prevalent across a wide range of industries, it is crucial to explore the factors that shape user satisfaction with this AI-driven innovation. This research provides insights into how age and gender impact user perceptions and engagement with AI-driven health technologies in Saudi Arabia. The information systems success model has been utilised to determine the effect of age and gender on user satisfaction. A self-administered questionnaire was distributed in two hospitals in Makkah City, Saudi Arabia, and 527 responses were collected from chatbot users. Structural equation modelling via analysis of moment structures validated the model constructs. The findings revealed that the privacy issue on user satisfaction has been significantly greater with males than with females. However, the correlation between user satisfaction and continuance usage intention, as well as net benefits, has been much higher among the females. Also, notable differences were found between user satisfaction and net benefits and continuance usage intention and net benefits, especially when comparing younger and older participants. Across all age groups, user satisfaction consistently emerged as a central driver of continuance usage intention and net benefits, underscoring the importance of fostering satisfaction to enhance the effectiveness of AI-driven chatbots in digital health services. This study can serve as a guide to highlight the importance of chatbot user satisfaction and provide implications, limitations, and future research opportunities. Full article

Problematic Internet use is a major health issue among adolescents, underscoring the need for further research on the variables related to this dysfunctional usage pattern. This study examined the predictive capacity of four indicators of psychosocial adjustment (depressed mood, perceived stress, loneliness, and life satisfaction) for different dimensions of problematic Internet use (preference for online social interaction, Internet use for mood regulation, deficient self-regulation of Internet use, and negative consequences) in male and female adolescents. A sample of 628 adolescents, aged 12 to 18 years (M age = 14.11; SD = 1.52), participated. The results indicated that all dimensions of problematic Internet use were positively correlated with depressive mood, perceived stress, and loneliness, and negatively correlated with life satisfaction. However, notable differences emerged in how these psychosocial variables related to the four PIU dimensions. Loneliness and life satisfaction showed the strongest and most consistent associations. Loneliness predicted Internet use for mood regulation in both males and females and, additionally, predicted preference for online social interaction and negative consequences among males. Life satisfaction was a significant negative predictor of three PIU dimensions among females. Perceived stress stood out as the only predictor of deficient self-regulation in males and females. Finally, depressive mood predicted only the Internet-use-for-mood-regulation dimension among males. These findings may be useful for developing intervention programs aimed at reducing problematic Internet use among adolescents. Full article

As municipalities increasingly adopt artificial intelligence (AI) and generative AI (GenAI) to automate self-service technologies (SSTs), concerns related to fairness, transparency, accountability, and citizen trust have become central to sustainable public-sector governance. While existing studies emphasize either AI adoption or high-level ethical principles, limited empirical research explains how governance mechanisms translate into user-level outcomes in municipal services, particularly in the context of emerging GenAI capabilities. This study addresses this gap by examining how governance antecedents and system design attributes shape user satisfaction, trust, and perceived fairness in AI-enabled municipal SSTs in the United Arab Emirates (UAE). A mixed-methods research design was employed, combining a comparative analysis of international and UAE AI governance frameworks with semi-structured interviews (n = 16) and a survey of municipal employees and service users (n = 272). Qualitative findings reveal persistent concerns regarding data privacy, fairness, explainability, and the absence of standardized municipal-level accountability instruments. Quantitative analysis shows that perceived helpfulness significantly increases user satisfaction, while perceived fairness strongly predicts continued usage intentions. In contrast, system responsiveness exhibits a negative association with satisfaction, highlighting an expectation–performance gap in automated service delivery. Based on these findings, the study proposes a governance–implementation–outcomes model that operationalizes ethical AI principles into measurable governance and service-design mechanisms. Unlike prior adoption-focused or purely normative frameworks, this model empirically links governance instrumentation to citizen-centered outcomes, offering practical guidance for inclusive and sustainable AI and GenAI deployment in municipal self-service systems. The findings contribute to debates on sustainable digital governance by demonstrating how ethically governed AI systems can reinforce public trust, service equity, and long-term institutional resilience. Full article

Background: The COVID-19 pandemic forced an unprecedented global transition to emergency remote teaching, fundamentally disrupting traditional higher education delivery methods. This study investigated how Greek higher education students adapted to mandatory distance learning during the acute phase of the COVID-19 pandemic (March 2020 to May 2021), providing baseline evidence of forced technology adoption patterns that can inform understanding of subsequent hybrid learning developments and future educational design. Methods: A quantitative cross-sectional design surveyed n = 477 students from Greek higher education institutions using a structured questionnaire measuring technology access, platform usage, learning modality preferences, challenges encountered, and future educational perspectives. Data analysis employed descriptive statistics, Pearson correlations, and multiple linear regression to identify predictors of distance learning satisfaction and preferences. Results: Most students expressed positive attitudes toward distance learning (67.9%) and reported comfort with online courses (71.6%), with 69.8% strongly preferring hybrid approaches combining synchronous and asynchronous modalities. Internet connectivity emerged as the primary predictor of satisfaction (β = 0.393, p = 0.052), while demographic factors showed minimal influence (R² = 0.048). Most students achieved platform proficiency within ten days (73.6%), though 67.9% recognized that distance learning poses differential accessibility challenges. Conclusions: Despite successful adaptation to emergency remote teaching, students envision a hybrid educational future that strategically integrates online and face-to-face modalities rather than wholesale replacement of traditional methods, emphasizing the need for infrastructure investment and pedagogical innovation while preserving valued social learning dimensions. Full article

This study analyses the integration of Generative Artificial Intelligence (GenAI) in agro-environmental higher education in Ecuador, focusing on its contribution to sustainable digital transformation aligned with Sustainable Development Goals (SDGs) 4 and 9. The research was conducted at the Faculty of Agricultural and Environmental Engineering (FICAYA) of Universidad Técnica del Norte (UTN) using a quantitative, cross-sectional, and analytical design. A validated digital survey grounded in established technology-acceptance frameworks—the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) was administered to 94% of the student population, showing satisfactory internal consistency (Cronbach’s α = 0.87). Data was analysed using descriptive statistics and multivariate techniques, including Principal Component Analysis (PCA) and k-means clustering. The results obtained in Microsoft Forms^® indicate that ChatGPT-5 is the most widely used GenAI tool (54.2%), followed by Gemini (11.9%). Students reported perceived improvements in academic performance (62.5%), conceptual understanding (74.6%), and task efficiency (69.1%). PCA explained 67% of the total variance, identifying three latent dimensions: effectiveness and satisfaction, institutional access and support, and ethical concerns versus operational benefits. Furthermore, k-means clustering (k = 2) segmented users into two distinct profiles Integrators, characterised by frequent use and positive perceptions, and Cautious Users, exhibiting lower usage and greater ethical or technical concerns. Overall, the findings highlight GenAI as a catalyst for sustainable education and underline the need for institutional and ethical frameworks to support its responsible integration in Latin American universities. Full article

In age-friendly furniture design, the visual characteristics of material surfaces play a crucial role in shaping the usage experience and preferences of elderly users. In response to the application requirements of decorative materials for furniture surfaces, this study focuses on polypropylene (PP) films, with the objective of investigating the visual perceptual preferences of elderly users concerning the surface color and glossiness attributes of these films. An eye-tracking experiment was initially conducted to identify color preferences among elderly participants, utilizing indicators including first fixation duration, total fixation duration, and total fixation count. Subsequently, a questionnaire survey was administered to assess user satisfaction with PP films featuring different glossiness levels—high-glossiness, semi-glossiness, and matte—and explored whether glossiness significantly influences color preference. The experimental results revealed the following: (1) red hues exhibited stronger initial visual attraction, while colors with low saturation and medium-to-high lightness sustained longer visual engagement; (2) the matte finishes received significantly higher satisfaction ratings than both semi-glossiness and high-glossiness finishes, with this preference remaining consistent across different color conditions; (3) glossiness does not exert a significant influence on color preference. The findings of this study provide consumer-oriented insights for the design of PP films that better accommodate the preferences of elderly users, while also offering guidance for the application and optimization of green and safe furniture materials. Full article

This study investigates how next-generation digital infrastructures—terahertz (THz) communication and AI-driven network orchestration—shape perceived service quality, luxury perception, and loyalty within the context of luxury hospitality. An empirical survey was conducted among 693 guests at Torre Melina Gran Meliá (Barcelona) between June 2024 and June 2025. Using a refined 38-item Likert-scale instrument, a three-factor structure was validated: (F1) Network Performance (speed, stability, coverage, seamless roaming, and multi-device reliability), (F2) Luxury Perception (modernity, innovation, and brand image), and (F3) Service Loyalty (satisfaction, return intentions, recommendations, and willingness to pay a premium). The results reveal that superior network performance functions both practically and symbolically. Functionally, it enables uninterrupted video calls, smooth streaming, low-latency gaming, and reliable multi-device usage—now considered essential utilities for contemporary travelers. Symbolically, high-performing and intelligently managed connectivity conveys technological leadership and exclusivity, thereby enhancing the hotel’s luxury image. Collectively, these effects create a “virtuous cycle” in which technical excellence reinforces perceptions of luxury, which in turn amplifies satisfaction and loyalty behaviors. From a managerial perspective, advanced connectivity should be viewed as a strategic investment and brand differentiator rather than a cost center. THz-ready, AI-orchestrated networks support personalization, dynamic bandwidth allocation (i.e., real-time adjustment of network capacity in response to fluctuating user demand), and monetizable premium service tiers, directly strengthening guest retention and brand equity. Ultimately, next-generation connectivity emerges not as an ancillary amenity but as a defining pillar of luxury hospitality in the emerging 6G era. Full article

The integration of artificial intelligence (AI) tools, such as the chat generative pre-trained transformer (ChatGPT), into health professions education is rapidly accelerating, creating new opportunities for personalized learning and clinical preparation. These tools have demonstrated the potential to enhance learning efficiency and critical thinking. However, concerns regarding reliability, academic integrity, and potential overreliance highlight the need to better understand how healthcare students adopt and perceive these technologies in order to guide their effective and responsible integration into educational frameworks. This nationwide, cross-sectional, survey-based study was conducted between February and April 2024 among undergraduate students enrolled in medical, pharmacy, nursing, dental, and allied health programs in Saudi Arabia. An online questionnaire collected data on ChatGPT usage patterns, satisfaction, perceived benefits and risks, and attitudes toward integrating them into the curricula. Among 1044 participants, the prevalence of ChatGPT use was 69.25% (n = 723). Students primarily utilized the tool for content summarization, assignment preparation, and exam-related study. Key motivators included time efficiency and convenience, with improved learning efficiency and reduced study stress identified as major benefits. Conversely, major challenges included subscription costs and difficulties in formulating effective prompts. Furthermore, concerns regarding overreliance and academic misconduct were frequently reported. In conclusion, the adoption of generative AI tools such as ChatGPT among healthcare students in Saudi Arabia was high, driven by its perceived ability to enhance learning efficiency and personalization. To maximize its benefits and minimize risks, institutions should establish clear policies, provide faculty oversight, and integrate AI literacy into the education of health professionals. Full article

In university campus design, the relationship between spatial elements and students’ sense of belonging has attracted growing interest. However, existing research tends to examine isolated space types rather than the integrated psychological experience of the campus as a whole. To holistically understand how campus space influences belonging, it is essential to investigate how—and to what extent—campus spatial satisfaction shapes students’ sense of belonging. The prevalent semi-enclosed management model of most Chinese university campuses offers a distinct context for examining how satisfaction with functional spaces affects this sense of belonging. This study investigates the relationship between students’ satisfaction with functional spaces and their sense of campus belonging through a multidimensional evaluation framework and comparative quantitative analysis. The findings demonstrate that (1) campus belonging is influenced not by the simple accumulation of satisfaction with individual space types but by four underlying behavioral dimensions—diversity of extended activities, residential comfort, learning convenience, and transportation comfort—which collectively explain approximately 50% of the variance in belonging; (2) the overall campus spatial layout significantly moderates the satisfaction–belonging relationship, with integrated residential-activity configurations promoting spontaneous use and strengthening belonging; and (3) among personal attributes, behavioral factors such as internet usage and physical activity patterns exhibit stronger effects than demographic variables. These results highlight the importance of a holistic, behavior-oriented approach to campus planning to enhance students’ psychological adaptation and sense of belonging. Full article

Against the dual backdrop of rapid population aging and legacy neighborhood renewal, morphologically planning-locked legacy neighborhoods in high-density cities face persistent imbalances in outdoor activity spaces that undermine aging-in-place participation and health equity. This study advances a Spatial Pathology framework. Using nine representative communities in Longtan Subdistrict, Dongcheng District, Beijing, we develop a GIS-assisted spatial audit, a systematic behavioral observation protocol with temporal-intensity metrics, and a validated perception instrument. These tools form a closed evidentiary loop with explicit indicator definitions, formulas, and decision thresholds, alongside a reproducible analytic and visualization pipeline. Tri-dimensional baselines revealed substantial inter-community disparities: Spatial Quality Index (SQI) ranged from 43.3 to 77.0; activity intensity varied from 1.5 to 15.7 persons/100 m²·hour; and overall satisfaction scores spanned 3.88–4.49. It quantifies and identifies three core paradoxes in outdoor activity spaces within this context: (1) the Functional Failure Paradox with FFI exceeding +0.5 and ELR surpassing 60% in dormant communities; (2) the Value Misalignment Paradox where Facilities & Equipment showed the strongest satisfaction impact (β = 0.344) yet the largest unmet-need gap (VQGI > +8); (3) the Practice–Perception Decoupling Paradox evidenced by a negative correlation (r = −0.38) between usage intensity and satisfaction. These paradoxes reveal the spatial roots of planning-locked legacy neighborhoods—compound mechanisms of planning inertia, decision–demand information gaps, and elderly adaptability masking environmental deficits. We translate the diagnosis into typology-specific prescriptions—reactivating dormant spaces via “route–node–plane” continuity and proximal micro-spaces; decongesting peak periods through elastic zoning and equipment redistribution; and precision calibration of facilities and walking loops—implemented through co-creation and light-touch stewardship. This provides evidence-based, precision-targeted intervention pathways for micro-renewal of aging neighborhoods, supporting localized implementation of UN Sustainable Development Goals (SDG 11 Sustainable Cities; SDG 10 Reduced Inequalities). This methodological framework is transferable to other high-density aging cities, offering theoretical scaffolding and empirical reference for multi-source geographic data-driven urban spatial analysis and equity-oriented age-friendly retrofitting. Full article

Amidst the paradigm shift in park city development from quantitative metrics to spatial performance, urban complex parks—a novel green space type developed privately yet fulfilling public functions—present an innovative approach to park provision in high-density urban areas. However, systematic empirical evidence on their social value remains scarce. This study characterizes urban complex parks as a new form of green public space that provides key ecosystem services and proposes a three-dimensional evaluation framework integrating “usage vitality, place attractiveness, and user satisfaction.” Analyzing 19 park-equipped complexes among 75 cases in Shanghai using LBS data and online reviews through controlled linear regression and comparative analysis, our results indicate complexes with parks were associated with significantly outperforming others in place attractiveness and user satisfaction. Key findings include associations with a 413.7 m increase in average OD distance, a 3.4–4.0% higher city-level visitor share, and 5.24 percentage points greater median positive review rate. Crucially, spatial location outweighs green ratio and size in determining social value. Ground-level parks, through superior spatial integration, function as effective “social-ecological interfaces,” significantly outperforming rooftop parks in attracting long-distance visitors, stabilizing foot traffic (≈3% lower fluctuation), and enhancing per-store visitation. This demonstrates that green space quality (experiential quality and spatial configuration) matters more than quantity. Our findings suggest that urban complex parks can create social value through perceivable naturalness and restorative environments, providing an empirical basis for optimizing park city implementation in high-density contexts and highlighting the need to reconcile broad attractiveness with equitable local access. Full article