Search Results (303)

Background: Rapid urbanization has intensified the challenges of freight transport, particularly in last-mile (LM) delivery, leading to rising costs and environmental externalities. Autonomous vehicles (AVs) have emerged as a promising innovation to address these issues. While much of the existing literature emphasizes business and operational perspectives, this study focuses on the acceptance of AVs from the standpoint of e-consumers—individuals who make purchases via digital platforms—in an emerging market context. Methods: Grounded in an extended Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), which is specifically suited to consumer-focused technology adoption research, this study incorporates five constructs tailored to AV adoption. Structural Equation Modeling (SEM) was applied to survey data collected from 304 e-consumers in Northeast Brazil. Results: The findings reveal that performance expectancy, hedonic motivation, and environmental awareness exert significant positive effects on acceptance and intention to use AVs for LM delivery. Social influence shows a weaker, yet still positive, impact. Importantly, price sensitivity exhibits a minimal effect, suggesting that while consumers are generally cost-conscious, perceived value may outweigh price concerns in early adoption stages. Conclusions: These results offer valuable insights for policymakers and logistics providers aiming to implement consumer-oriented, cost-effective AV solutions in LM delivery, particularly in emerging economies. The findings emphasize the need for strategies that highlight the practical, emotional, and environmental benefits of AVs to foster market acceptance. Full article

As ad-supported subscription models proliferate across over-the-top (OTT) media platforms, understanding the psychological mechanisms and perceptual factors that underlie consumers’ transition decisions becomes increasingly consequential. This study integrates the Uses and Gratifications framework with a contemporary motivation-based perspective to examine how users’ media consumption motivations and advertising attitudes predict intentions to adopt ad-supported OTT plans. Data were collected via a nationally representative online survey in South Korea (N = 813). The sample included both premium subscribers (n = 708) and non-subscribers (n = 105). The findings reveal distinct segmentation in decision-making patterns. Among premium subscribers, switching intentions were predominantly driven by intrinsic motivations—particularly identity alignment with content—and by the perceived informational value of advertisements. These individuals are more likely to consider ad-supported plans when ad content is personally relevant and cognitively enriching. Conversely, non-subscribers exhibited greater sensitivity to extrinsic cues such as the entertainment value of ads and the presence of tangible incentives (e.g., discounts), suggesting a hedonic-reward orientation. By advancing a dual-pathway explanatory model, this study contributes to the theoretical discourse on digital subscription behavior and offers actionable insights for OTT service providers. The results underscore the necessity of segment-specific advertising strategies: premium subscribers may be engaged through informative and identity-consistent advertising, while non-subscribers respond more favorably to enjoyable and benefit-laden ad experiences. These insights inform platform monetization efforts amid the evolving dynamics of consumer attention and subscription fatigue. Full article

As artificial intelligence (AI) technology becomes increasingly widespread in organizations, its impact on individual employees’ psychology and behavior has garnered growing attention. Existing research primarily focuses on AI’s effects on organizational performance and job design, with limited exploration of its mechanisms influencing individual employees, particularly in the critical area of risk-taking behavior, which is essential to organizational innovation. This research develops a moderated mediation model grounded in social cognitive theory (SCT) to explore how AI usage affects the willingness to take risks. A three-wave longitudinal study collected and statistically analyzed data from 442 participants. The findings reveal that (1) AI usage significantly enhances employees’ willingness to take risks; (2) self-efficacy serves as a partial mediator in the connection between AI usage and the willingness to take risks; and (3) learning goal orientation moderates both the relationship between AI usage and self-efficacy, as well as the mediating effect. This research enhances our understanding of AI’s impact on organizational behavior and provides valuable insights for human resource management in the AI era. Full article

Water is essential for ecological balance, environmental sustainability, and food security, particularly in arid regions where effective water management increasingly depends on farmer cooperation. The Samarkand region of Uzbekistan, known for its favorable climate and leading role in grape production, is facing rising drought conditions. This study explores the factors influencing grape farmers’ willingness to collaborate on water management in the districts of Ishtikhan, Payarik, and Kushrabot, which together produce 75–80% of the region’s grapes. A quantitative survey of 384 grape-producing households was conducted across 19 county citizens’ gatherings (38.7% of such gatherings), and structural equation modeling was employed to analyze a framework consisting of four dimensions: norms, environmental concerns, economic barriers, and the intention to adopt sustainable practices. The results indicate that norms and environmental concerns positively influence collaboration, suggesting a collective orientation toward sustainability. In contrast, economic barriers such as high costs and limited financial capacity significantly hinder cooperative behavior. Furthermore, a strong individual intention to adopt sustainable practices was associated with a greater likelihood of collaboration. These findings highlight the critical drivers and constraints shaping collective water use in agriculture and suggest that targeted policy measures and community-led efforts are vital for promoting sustainable water governance in drought-prone regions. Full article

Background/Objectives: This study explores the perspectives of mental health professionals on tailoring the Mentis Plus intervention to enhance positive mental health (PMH) in individuals experiencing First-Episode Psychosis (FEP). Although the Mentis Plus Program has been previously implemented in other contexts, it has not yet been applied to FEP care. Therefore, this study aimed to adapt the intervention for future implementation through expert consultation. Methods: A qualitative exploratory-descriptive design was employed. Data were collected via three focus groups comprising multidisciplinary professionals experienced in FEP care. Qualitative content analysis was used to examine the data. Results: Participants viewed the tailored Mentis Plus intervention as a valuable, recovery-oriented tool. Key recommendations included a flexible, group-based format with eight weekly sessions. Suggested intervention components encompassed gratitude journaling, emotional regulation techniques, and collaborative problem-solving exercises. Group delivery was highlighted as essential for mitigating isolation and promoting peer support. Practical implementation strategies included phased session structures and routine emotional check-ins. Identified barriers to implementation included the need for specialized training, limited therapeutic spaces, and the heterogeneity of participant needs. Facilitators included a person-centered approach, institutional backing, and sufficient resources. Conclusions: The findings support the feasibility and clinical relevance of a tailored Mentis Plus FEP Program—Brief Version. Expert-informed insights provide a foundation for adapting mental health interventions to early-psychosis care and inform future research and implementation strategies. Full article

Background/Objectives: Breast milk donation is increasingly recognized as a vital public health resource, providing optimal nutrition for infants who cannot be breastfed by their biological mothers. Human milk banks play a crucial role in supporting infant health, particularly for preterm and medically vulnerable infants. Despite its recognized benefits, the practice of breast milk donation and utilization remains influenced by a complex interplay of individual, social, and cultural factors. Methods: This study systematically examines how demographic and sociocultural variables are associated with attitudes and behaviors related to breast milk donation. Data were collected from 1223 Israeli mothers via questionnaires distributed through WhatsApp groups between April and May 2025. By analyzing the questionnaire results, the research identified key predictors of willingness to donate and use donated milk, as well as patterns of awareness and perceived support within different population groups. Results: Higher education (χ² = 12.87, p = 0.0016) and settlement type (χ² = 83.096, p = 0.000) were significantly associated with greater willingness to donate breast milk. Income level had no effect on donation behavior, though higher-income participants were more open to its use (χ² = 86.838, p = 0.000). Lifestyle also influenced perceptions of social support (F(2, 1220) = 259.4036, p < 0.001) and cultural support (F(2, 1220) = 601.2383, p < 0.001) of milk donation and use. Significant correlation was found between perceived cultural and social support (t = 5.140, p = 0.000), emphasizing their interrelated influence on milk donation attitudes. Conclusions: The findings assist in guiding the development of public health policies, as well as targeted awareness campaigns, to promote equitable access to donor milk services across varied communities. From the public health perspective, the findings of this study can orientate campaigns that encourage both donation and use of breast milk focusing on segments of the population in which the level of awareness is relatively low. Full article

This study proposes a hybrid approach combining threshold-based algorithm and deep learning to detect four major gait events—initial contact (IC), toe-off (TO), opposite initial contact (OIC), and opposite toe-off (OTO)—using only a smartphone’s built-in inertial sensor placed in the user’s pocket. The algorithm enables estimation of spatiotemporal gait parameters such as cadence, stride length, loading response (LR), pre-swing (PSw), single limb support (SLS), double limb support (DLS), and swing phase and symmetry. Gait data were collected from 20 healthy individuals and 13 hemiparetic stroke patients. To reduce sensitivity to sensor orientation and suppress noise, sum vector magnitude (SVM) features were extracted and filtered using a second-order Butterworth low-pass filter at 3 Hz. A deep learning model was further compressed using knowledge distillation, reducing model size by 96% while preserving accuracy. The proposed method achieved error rates in event detection below 2% of the gait cycle for healthy gait and a maximum of 4.4% for patient gait in event detection, with corresponding parameter estimation errors also within 4%. These results demonstrated the feasibility of accurate and real-time gait monitoring using a smartphone. In addition, statistical analysis of gait parameters such as symmetry and DLS revealed significant differences between the normal and patient groups. While this study is not intended to provide or guide rehabilitation treatment, it offers a practical means to regularly monitor patients’ gait status and observe gait recovery trends over time. Full article

Objectives: Health disparities among transgender and gender-diverse individuals are partly attributed to the limited knowledge and preparedness of healthcare providers. This study aims to assess the level of knowledge of transgender health among residents in obstetrics and gynecology and family medicine. Methods: A multicenter, cross-sectional study was conducted with obstetrics and gynecology (OBGYN) and family medicine (FM) residents from two different centers. Data were collected using a 21-item questionnaire. The questionnaire assessed participants’ demographic information, knowledge of sexual orientation and gender identity, clinical and anatomical effects of gender-affirming hormone therapy, knowledge of gender-affirming surgery, and knowledge of risk-based screening for TGD individuals. Results: The study, which included 85 residents (62 FM, 23 OBGYN), found that 76.6% of respondents indicated that SOGI should be routinely assessed. However, 68.3% of the participants reported inadequate knowledge regarding the clinical implications of gender-affirming hormone therapy, and 74.1% reported insufficient knowledge about gender-affirming surgeries. Furthermore, 62.4% of the participants indicated that they had not received any health education specifically tailored to address the needs of transgender individuals. Only 23.5% reported receiving training during their residency programs. Notably, 84.7% of the participants expressed a desire for formal education in this area. Conclusions: FM and OBGYN residents have significant knowledge gaps regarding TGD health. The integration of TGD health topics into the curricula of medical schools and residency programs is needed to improve access to healthcare for individuals with TGD. Full article

This study evaluates the current Spanish insurance framework for catastrophic flood risk, administered by the Consorcio de Compensación de Seguros (CCS), based on nationwide loss data reported by the CCS for the period 1996–2020. The analysis of historical claims data enables a clear differentiation between frequent, low-cost events and infrequent, high-impact catastrophes. While the CCS has fulfilled a critical role in post-disaster compensation, the findings highlight the parallel need for ex ante risk mitigation strategies. The study proposes a more efficient, two-tier risk coverage model. Events whose impacts can be managed through standard insurance mechanisms should be underwritten by private insurers using actuarially fair premiums. In contrast, events with catastrophic implications—due to their scale or financial impact—should be addressed through general solidarity mechanisms, centrally managed by the CCS. Such a risk segmentation would improve the financial sustainability of the system and create fiscal space for prevention-oriented incentives. The current design of the CCS scheme may generate moral hazard, as flood exposure is not explicitly priced into the premium structure. Empirical findings support a shift towards a more transparent, incentive-aligned model that combines collective risk sharing with individual risk responsibility—an essential balance for effective climate adaptation and long-term resilience. Full article

At the beginning of the 21st century, rapid technological developments significantly impacted the field of education. As a result, university professors in recent years have been constantly searching and implementing teaching methods, such as blended learning, to increase the interest of their students and retain them in their courses. It is a matter of many academic discussions to create educational practices to reduce student dropout, especially in social sciences courses that are considered by students to be difficult subjects, such as accounting. The blended learning approach is based on constructivist theory and specifically on the Community of Inquiry model, where the educational experience of students is related to social, cognitive, and didactic presence, and it is orientated towards a more student-centred approach that maximises retention rates. The present study employs an exploratory blended-methods design. A questionnaire and individual interviews of students were used to collect data. The study was carried out in the context of an Advanced Financial Accounting course at a Greek university, through the implementation of an experiment with undergraduate students. Important findings include higher retention rates of undergraduate accounting students in the blended class compared to the traditional one, as the redesigning of content for the needs of blended learning, the incorporation of videos, the development of group work, and the good organisation of the course constitute the optimal mix for reducing student attrition. Full article

Despite advanced aviation safety systems, recurring operational failures demonstrate that current safety management system (SMS) implementation practices remain predominantly reactive, with organizations adopting SMS frameworks theoretically embracing Safety-II philosophy while continuing Safety-I-oriented reactive management. This study develops an integrated framework for implementing both Safety-I and Safety-II principles in aviation safety management, addressing the gap between SMS theoretical requirements and actual implementation. Using the HEAR (human error analysis and reduction) framework, we analyzed three representative aviation cases involving FMS operation, turbulence response, and aircraft energy management through a qualitative multiple-case study design. Data collection utilized internal safety reports, official investigation reports, and reconstructed operational scenarios. The analysis employed a four-phase approach integrating predetermined categorization with inductive pattern recognition. Results revealed that 87% of all causes were organizational factors—6.7 times higher than individual/task factors (13%)—yet safety management responses primarily target individual behaviors. We defined “flight crew’s resilient behavior” and developed implementation guidelines by integrating the HEAR framework with the LPAC (learn, plan, adapt, coordinate) model and PAM (pressures, adaptations, and manifestations) framework. Effectiveness evaluation demonstrated a transition from 54 discrete contributing factors to 19 systematically related factors with clearer implementation pathways. Our integrated framework enables organizations to systematically implement both Safety-I analytical capabilities and Safety-II adaptive responses, transforming safety management from reactive “failure prevention” to proactive “success expansion”. Full article

Background/Objectives: Developmental Topographical Disorientation (DTD) refers to a condition in which individuals report getting lost in very familiar surroundings, since childhood, with no other cognitive complaints, and no brain injuries or neurological disorders. While the cognitive and neurological mechanisms underlying DTD are being investigated, to date, there is no tool available to the public and health practitioners for identifying this lifelong condition. Methods: Here, we used a decade of data (N = 3794) collected in healthy and DTD individuals to produce a short and reliable measure of self-reported sense of direction that could point to the presence of DTD. Results: We adopted a measure of internal consistency (Cronbach’s alpha) and identified four items of the well-known Santa Barbara Sense of Direction (SBSOD) Scale that retain its original strong internal consistency. These four items remain sensitive to the well-known effects of sex on spatial orientation and, importantly, to the presence of DTD, while maintaining the same pattern of association with a cognitive battery of computerized tasks measuring different spatial abilities. Conclusions: This four-item measure could be of practical use to obtain a rapid assessment of an individual’s self-reported sense of direction and help to identify the presence of DTD in the general population. Full article

This article explores the integration of “Ayatutu”, a communal philosophy from Nigeria’s Tiv people, into mathematics education frameworks. Ayatutu—embodying collective responsibility and mutual assistance—aligns with contemporary cooperative learning approaches while offering unique cultural dimensions. Through analysis of the ethnomathematics literature, indigenous knowledge systems, and cooperative learning theories this article develops a theoretical framework for Ayatutu-based mathematics instruction built on the following five core elements: collective problem-solving, resource sharing, complementary expertise, process orientation, and intergenerational knowledge transfer. The framework demonstrates significant alignment with sociocultural learning theory, communities of practice, and critical pedagogy while also offering potential benefits including enhanced mathematical engagement, positive identity development, stronger learning communities, and cultural sustainability. Implementation challenges involving teacher preparation, structural constraints, cultural translation, and balancing individual with collective learning are examined. This research contributes to decolonizing mathematics education by positioning indigenous philosophical systems as valuable resources for creating culturally responsive and mathematically powerful learning environments that serve diverse student populations while honoring cultural wisdom. Full article

Background: Charitable crowdfunding platforms have become widely used tools for raising funds to support social and humanitarian causes. As participation in these platforms is voluntary, understanding the influence of individual motivations and cultural values is essential, particularly when engaging donors across culturally diverse regions. Within the framework of Self-Determination Theory (SDT), this study explores whether consumers’ cultural orientations influence their motivations and levels of engagement in charitable crowdfunding. Methods: Data were collected through an online survey using the Computer-Assisted Web Interviewing (CAWI) method from 680 participants recruited via Amazon Mechanical Turk. Structural equation modeling was employed to analyze the effects of three cultural dimensions—collectivism, power distance, and uncertainty avoidance—on charitable giving behavior, including their interactions with intrinsic and extrinsic motivations. Results: Collectivism was found to positively predict charitable giving, while uncertainty avoidance had a negative effect. Power distance showed a mixed influence, depending on the underlying motivational factors. Comparative analysis revealed significant regional differences, particularly between respondents from the Americas and Europe, in the strength and nature of these relationships. Conclusions: The findings underscore the importance of integrating cultural factors into digital fundraising strategies and offer new insights into how individual cultural values shape prosocial behavior in online crowdfunding environments. Full article

Background: Phenylketonuria (PKU) is a rare metabolic disorder requiring lifelong dietary treatment. Adolescents and young adults face unique challenges in managing the condition, often compromising adherence and psychological well-being. This study aimed to explore coping strategies used by patients to manage their condition and their associations with dietary adherence, PKU-related symptoms, and quality of life (QoL) in young individuals with PKU. Methods: A cross-sectional study was conducted with 21 adolescents and young adults (13–25 years) with classical PKU, followed at the Unit of Inherited Metabolic Diseases in Padua, Italy. Participants completed questionnaires assessing dietary adherence, QoL, and coping. Biochemical data were collected from medical records. Results: Only 57.1% fully adhered to the diet; social barriers like embarrassment and school/work environments hindered adherence. Adolescents reported more irritability and concentration difficulties, while young adults reported greater fatigue. QoL was moderately impacted. Avoidance coping was more frequent in young adults and correlated with irritability and lower QoL. Transcendence-oriented coping was linked to fewer insomnia symptoms. Conclusions: Coping strategies influence symptom experience and QoL in PKU. Integrating psychological support and personalized care into routine treatment is essential to improve adherence and support patients through the transition to adulthood. Full article