Search Results (990)

Fertility is considered a significant demographic concern, especially in relation to climate change. This study examines how awareness of climate change, measured by five subscales—climate-friendly behavior, knowledge, personal concern, attitude, and multiplicative action—affects fertility intentions, emphasizing the mediating role of threat perception. Data were collected through an online survey administered to a sample of 817 Palestinian citizens aged 18–49 residing in the West Bank. Structural equation modeling (SEM) was utilized for the data analysis. The results revealed that climate change awareness does not directly affect fertility intentions. However, an indirect effect of climate change awareness on fertility intentions was observed, mediated by threat perception as an intervening variable. Individuals exhibiting increased awareness of climate change and perceptions of future risks demonstrated a greater likelihood of reducing their fertility intentions compared to others. Policymakers in the Palestinian territories should prioritize enhancing public awareness regarding climate change and its associated short- and long-term threats. Therefore, incorporating climate education and associated risks into fertility health programs is essential. 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

E-commerce growth has reshaped consumer behavior and retail services, driving parcel demand and challenging last-mile logistics. Existing research predominantly relies on survey data and global regression models that overlook intra-urban spatial heterogeneity in shopping behaviors. This study bridges this gap by analyzing e-commerce demand’s spatial distribution from a retail service perspective, identifying key drivers, and evaluating implications for omnichannel strategies and logistics. Utilizing waybill big data, spatial analysis, and multiscale geographically weighted regression, we reveal: (1) High-density e-commerce demand areas are predominantly located in central districts, whereas peripheral regions exhibit statistically lower volumes. The spatial distribution pattern of e-commerce demand aligns with the urban development spatial structure. (2) Factors such as population density and education levels significantly influence e-commerce demand. (3) Convenience stores play a dual role as retail service providers and parcel collection points, reinforcing their importance in shaping consumer accessibility and service efficiency, particularly in underserved urban areas. (4) Supermarkets exert a substitution effect on online shopping by offering immediate product availability, highlighting their role in shaping consumer purchasing preferences and retail service strategies. These findings contribute to retail and consumer services research by demonstrating how spatial e-commerce demand patterns reflect consumer shopping preferences, the role of omnichannel retail strategies, and the competitive dynamics between e-commerce and physical retail formats. Full article

Paraprofessionals play a crucial role in supporting both teachers and students within a classroom, even though the specifics of their duties vary. While their responsibilities involve supporting student achievement, research has shed light that many paraprofessionals feel unprepared for their responsibilities in the classroom. This study aimed to address a gap in the existing literature by exploring how a professional development program that mirrors the trainings special education teachers receive would impact paraprofessionals and help them feel more prepared for their responsibilities in the classroom. Employing a generic qualitative methodology, this study sought to capture the experiences of 43 paraprofessionals. Data collection involved an online open-ended questionnaire at the start and conclusion of the school year. The study’s outcomes revealed five patterns in the data: (a) paraprofessionals struggled with collaborating with classroom teams at the start of the school year, (b) paraprofessionals struggled with managing student behavior at the start of the school year, (c) professional development was helpful to most of the paraprofessionals, (d) professional development led to better preparedness to address challenging behavior, and (e) professional development led to better preparedness to address the instructional needs of students with disabilities. Following a thorough analysis and synthesis, these patterns were condensed into two general themes: the importance of professional development for paraprofessionals and the importance of presenting the professional development that teachers receive on a continuous basis to paraprofessionals as well. These findings are significant for school leaders and educators, as they highlight the importance of providing professional development to paraprofessionals while supporting students with disabilities. Full article

In the context of eco-friendly e-commerce, understanding the psychological and experiential mechanisms that drive consumers’ online purchasing behavior is essential for promoting sustainable platform development. This study aims to fill a critical gap in the literature by examining how social interaction, entertainment, and sales promotion influence consumers’ purchase intentions through the mediating roles of perceived value and immersive flow experience. Grounded in the Stimulus–Organism–Response (S-O-R) theoretical framework, we developed a structural model and conducted an empirical analysis using survey data collected from 438 online shoppers. Data analysis was conducted using SPSS and AMOS through SEM. The results show that social interaction and sales promotion significantly enhance both perceived value and flow experience, which in turn positively influence consumers’ purchase intentions. However, entertainment exhibits a negative and significant effect on perceived value and does not significantly affect flow experience, indicating that hedonic content may not always translate into perceived usefulness or deep engagement. Moreover, the influence of social interaction on flow experience was also found to be negative and significant, suggesting that not all forms of interaction necessarily lead to immersive experiences. These findings highlight the complex psychological dynamics in digital consumption. This study contributes original insights by integrating psychological engagement mechanisms with the goal of digital sustainability, offering practical implications for online retailers aiming to enhance user engagement and platform longevity through experience-driven strategies. Full article

Background: Insomnia and excessive sleepiness are significant health problems with a complex etiology, increasingly affecting young people, especially students. This study aimed to assess the prevalence of sleep disturbances and patterns of psychoactive drug use among female Polish students. We also explored the potential impact of the COVID-19 pandemic on sleep behaviors. We hypothesized that sleep disorders are common in this group, that medical students are more likely to experience insomnia and excessive sleepiness, and that the pandemic has exacerbated both sleep disturbances and substance use. Methods: This cross-sectional study utilized a custom survey designed using standardized questionnaires—the Athens Insomnia Scale and Epworth Sleepiness Scale—that was distributed online using the Computer-Assisted Web Interviewing method. A total of 11,988 responses were collected from 31 January 2016 to 1 January 2021. Inclusion criteria were being female, having a college student status, and giving informed consent. Results: Among the 11,988 participants, alcohol use declined after the pandemic began (p = 0.001), while sedative use increased (p < 0.001). Insomnia (AIS) was associated with study year, university profile, and field of study (p < 0.001), with the highest rates in first-year and non-medical students. It was more common among users of sedatives, psychostimulants, and multiple substances. No significant change in insomnia was found before and after the pandemic. Excessive sleepiness (ESS) peaked in first-year and medical students. It decreased during the pandemic (p < 0.001) and was linked to the use of alcohol, psychostimulants, cannabinoids, and multiple substances. Conclusions: These findings highlight that female students are particularly vulnerable to sleep disorders. The influence of the COVID-19 pandemic on sleep disturbances remains inconclusive. Given the varied results in the existing literature, further research is needed. Full article

Cybersecurity threats increasingly originate from human actions within organizations, emphasizing the need to understand behavioral factors behind non-compliance with information security policies (ISPs). Despite the presence of formal security policies, insider threats—whether accidental or intentional—remain a major vulnerability. This study addresses the gap in behavioral cybersecurity research by developing an integrated conceptual model that draws upon Operant Conditioning Theory (OCT), Protection Motivation Theory (PMT), and the Theory of Planned Behavior (TPB) to explore ISP compliance. The research aims to identify key cognitive, motivational, and behavioral factors that shape employees’ intentions and actual compliance with ISPs. The model examines seven independent variables of perceived severity: perceived vulnerability, rewards, punishment, attitude toward the behavior, subjective norms, and perceived behavioral control, with intention serving as a mediating variable and actual ISP compliance as the outcome. A quantitative approach was used, collecting data via an online survey from 302 employees across the public and private sectors. Structural Equation Modeling (SEM) with SmartPLS software (v.4.1.1.2) analyzed the complex relationships among variables, testing the proposed model. The findings reveal that perceived severity, punishment, attitude toward behavior, and perceived behavioral control, significantly and positively, influence employees’ intentions to comply with information security policies. Conversely, perceived vulnerability, rewards, and subjective norms do not show a significant effect on compliance intentions. Moreover, the intention to comply strongly predicts actual compliance behavior, thus confirming its key role as a mediator linking cognitive, motivational, and behavioral factors to real security practices. This study offers an original contribution by uniting three well-established theories into a single explanatory model and provides actionable insights for designing effective, psychologically informed interventions to enhance ISP adherence and reduce insider risks. Full article

User requirements are the core driving force behind the iterative development of complex products. Their comprehensive collection, accurate interpretation, and effective integration directly affect design outcomes. However, current practices often depend heavily on single-source data and designer intuition, resulting in incomplete, biased, and fragile design decisions. Moreover, multi-source heterogeneous user requirements often exhibit inherent asymmetry and imbalance in both structure and contribution. To address these issues, this study proposes a symmetric and balanced optimization method for multi-source heterogeneous user requirements in complex product design. Multiple acquisition and analysis approaches are integrated to mitigate the limitations of single-source data by fusing complementary information and enabling balanced decision-making. Firstly, unstructured text data from online reviews are used to extract initial user requirements, and a topic analysis method is applied for modeling and clustering. Secondly, user interviews are analyzed using a fuzzy satisfaction analysis, while eye-tracking experiments capture physiological behavior to support correlation analysis between internal preferences and external behavior. Finally, a cooperative game-based model is introduced to optimize conflicts among data sources, ensuring fairness in decision-making. The method was validated using a case study of oxygen concentrators. The findings demonstrate improvements in both decision robustness and requirement representation. Full article

Purpose: Smoking is a major preventable cause of illness and death. Quitting smoking can reduce related health complications. Numerous factors, including age, socioeconomic status, smoking habits, and availability of support, influence smoking cessation success. Despite anti-smoking measures and smoking cessation clinics in Saudi Arabia, smoking-related deaths are increasing. This study aimed to identify factors influencing successful smoking cessation among Saudi adults and examine the relationship between cessation methods and success rates. Patients and methods: A cross-sectional study was conducted through an online survey targeting Saudi adults who had attempted to quit smoking of all types, whether traditional cigarettes, e-cigarettes, shisha, or others. Success was defined as quitting for at least six months. The data collected included sociodemographic details, smoking history, and experiences with cessation. Logistic regression analysis was used to identify factors associated with successful cessation. Results: Of 364 participants, 18.4% were successful quitters, with a mean age of 34.94. Occupation was a key predictor; freelance workers had significantly higher odds of unsuccessful quitting (OR = 12.96, 95% CI: 2.08–80.79, p = 0.006). Those who continued smoking despite illness were less likely to quit successfully (OR = 2.33, 95% CI: 1.16–4.68, p = 0.018). Early initiation of smoking also negatively impacted cessation success (OR = 1.10, 95% CI: 1.03–1.17, p = 0.006). Successful quitters reported fewer adverse symptoms during their attempts (p = 0.018) and employed behavioral strategies, such as disposing of tobacco products (p < 0.001), avoiding smoking triggers (p = 0.002), and engaging in exercise (p < 0.001). Confidence in quitting significantly contributed to success (p < 0.001). Conclusions: This study highlights the role of individual, social, and environmental factors in smoking cessation. Tailored interventions that address socioeconomic, psychological, and lifestyle factors are crucial for enhancing cessation success among Saudi adults. Full article

This research was designed to explore science-fiction and fantasy (SFF) posters, specifically those related to films and television shows, from the perspective of their owners, examining their potential as sources of social and cultural significance and meaning. The research explored these in terms of the content of the poster, placement, media texts they reference, morals, behavior, identity, sense of self, well-being and self-expression. Data collection took place between 2020 and 2022 via an online survey (N = 273) and follow-up semi-structured interviews (N = 28) with adult science-fiction and fantasy film and television show poster owners. The significance and meaning of SFF posters were framed by two conceptual models: ‘The Three Significances’—esthetics, functionality, and significance (both spatial and personal)—and ‘The Big Three’—content, design, and color. Among these, content held the greatest significance for owners. Posters served as tools for self-expression, reflecting their owners’ identities, affinities, and convictions, while also reinforcing their connection to the media they reference. Posters helped to reinforce a sense of self and fan identity and evoke emotional responses, and the space in which they were displayed helped shape their meaning and significance. The paper sets out some suggestions for future research in this important topic. Full article

Background/Objectives: Occupational stress is a common issue among academics. This study aims to determine the level of work stress experienced by academics depending on their titles and the relationship between this stress and eating behaviors. Methods: The data for the study were collected through an online survey from 649 academicians working in universities in Türkiye between January and February 2025. This is a cross-sectional study, and the snowball sampling method was used to facilitate high participation rates. Data were collected using a demographic questionnaire, the General Work Stress Scale (GWSS) to assess work stress levels, and the Turkish version of the Adult Eating Behavior Questionnaire (AEBQ-TR) to evaluate eating behaviors. Results: Among the participants, 47.6% were of normal weight, with an average BMI of 25.85 ± 4.56 kg/m². The median work stress score of male academicians (17.00) was significantly lower than that of female academicians (21.00) (p < 0.001). Similarly, the median eating behavior score was lower in male academicians (18.55) compared to females (19.78) (p < 0.001). Work stress levels decreased with increasing academic title, with professors reporting the lowest levels of stress (p < 0.001). Conclusions: The findings indicate that female academics are more likely to engage in emotional eating under stress, whereas male academics tend to alter their dietary preferences by avoiding certain foods. These results underscore the importance of stress management and the promotion of healthy eating habits among academics. Full article

Sexual consent is essential, but in some instances an individual may consent to sexual behaviors that are unwanted. The likelihood of unwanted consensual sex may be influenced by multiple social and individual factors. The current study examined engagement in unwanted consensual sex based on demographics, relationship and/or hookup history, and sexual communication characteristics among college students. This cross-sectional study was conducted utilizing a random sample of college students at one midwestern university. Data was collected via an online survey, including questions about sexual behavior, communication, and sexual consent. Basic frequencies and bivariate and multivariate analyses were conducted. This random sample included 1263 undergraduate students. Level of comfort communicating about sex was negatively associated with unwanted consensual sex. Gender was significantly associated with the likelihood of unwanted consensual sex and was a significant predictor of unwanted consensual sex among this sample. Unwanted consensual sex may vary based on individual characteristics, like gender. The current findings may help guide future studies on unwanted consensual sex, as well as continued sex education programming on college campuses to increase comfort when communicating about sexual behaviors. Full article

Background and aims: Pneumococcal infections, primarily caused by Streptococcus pneumoniae, pose significant global public health challenges, particularly in vulnerable populations. In Saudi Arabia, the introduction of pneumococcal vaccination has been a crucial step towards its prevention. However, gaps in public knowledge and attitudes toward the vaccine may hinder its effectiveness. Recent studies indicate a lack of awareness about the benefits of pneumococcal vaccination, suggesting a need for further investigation. This study determined the knowledge, attitudes, and practices (KAP) of Saudi residents regarding pneumococcal infection and vaccination. Study design and Methods: This observational cross-sectional study was conducted across Saudi Arabia from November 2024 to March 2025. Data were collected through a self-administered online questionnaire designed to evaluate KAP towards pneumococcal infection and vaccination. The sample size was calculated to be 385 participants. The questionnaire underwent expert validation and a pilot study to ensure clarity and reliability. The questionnaire was distributed via social media platforms to collect the data. Data management was conducted using Microsoft Excel, and statistical analysis was performed using Statistical Package for Social Sciences (SPSS) software version 26. Results: This study included 1230 participants of whom 630 (51.2%) were females and 1075 (87.4%) were Saudi citizens. Almost half of the participants (50.2%) were aged 18–30 years, and 498 (40.5%) were married. The average knowledge score was 58.6%, indicating a moderate level of understanding among the participants regarding pneumococcal infection. Also, the average attitudes score was 70.6%, reflecting a generally positive outlook towards the importance of pneumococcal vaccination and its potential to limit infection spread. In addition, the average practices score was 68%, indicating a fairly good level of behaviors regarding vaccination practices. Statistical analyses showed that demographic factors and clinical characteristics significantly shape individuals’ KAP towards pneumococcal infection and vaccination. Conclusions: This study highlights the critical need to improve KAP regarding pneumococcal infections and vaccinations among Saudi residents and could help in developing more targeted and effective public health interventions to protect Saudi residents from pneumococcal infections. Full article

The COVID-19 pandemic has significantly altered consumer habits, particularly in relation to food choices. In this context, plant-based diets have gained prominence, driven by health, environmental, and ethical considerations. This study investigates the primary motivational and inhibitory factors influencing the consumption of plant-based foods among residents of the Galicia–Northern Portugal Euroregion. Utilizing the Theory of Reasoned Action, an extended model was proposed and tested through a quantitative survey. A total of 214 valid responses were collected via an online questionnaire distributed in Portuguese and Spanish. Linear regression analysis revealed that health awareness, animal welfare, and environmental concern significantly shape positive attitudes, which subsequently affect the intention to consume plant-based foods. Additionally, perceived barriers—such as lack of taste and insufficient information—were found to negatively influence intention. These findings contribute to the consumer behavior literature and provide strategic insights for stakeholders aiming to promote more sustainable dietary patterns in culturally connected cross-border regions. Full article

Emerging digital technologies are transforming how consumers participate in financial markets, yet their benefits depend critically on the speed, reliability, and transparency of the underlying platforms. Online stock trading platforms must maintain high efficiency underload to ensure a good user experience. This paper presents performance analysis under various load conditions based on the containerized stock exchange system. A comprehensive data logging pipeline was implemented, capturing metrics such as API response times, database query times, and resource utilization. We analyze the collected data to identify performance patterns, using both statistical analysis and machine learning techniques. Preliminary analysis reveals correlations between application processing time and database load, as well as the impact of user behavior on system performance. Association rule mining is applied to uncover relationships among performance metrics, and multiple classification algorithms are evaluated for their ability to predict user activity class patterns from system metrics. The insights from this work can guide optimizations in similar distributed web applications to improve scalability and reliability under a heavy load. By framing performance not merely as a technical property but as a determinant of financial decision-making and well-being, the study contributes actionable insights for designers of consumer-facing fintech services seeking to meet sustainable development goals through trustworthy, resilient digital infrastructure. Full article