Journal of the Academy of Marketing Science, Год журнала: 2025, Номер unknown
Опубликована: Март 17, 2025
Язык: Английский
World Psychiatry, Год журнала: 2024, Номер 23(3), С. 312 - 332
Опубликована: Сен. 16, 2024
Rising concerns about social isolation and loneliness globally have highlighted the need for a greater understanding of their mental physical health implications. Robust evidence documents connection factors as independent predictors health, with some strongest on mortality. Although most data are observational, points to directionality effects, plausible pathways, in cases causal link between later outcomes. Societal trends across several indicators reveal increasing rates those who lack connection, significant portion population reporting loneliness. The scientific study has substantially extended over past two decades, particularly since 2020; however, its relevance mortality remains underappreciated by public. Despite breadth evidence, challenges remain, including common language reconcile diverse relevant terms disciplines, consistent multi‐factorial measurement assess risk, effective solutions prevent mitigate risk. urgency future is underscored potentially longer‐term consequences COVID‐19 pandemic, role digital technologies societal shifts, that could contribute further declines social, health. To reverse these meet challenges, recommendations offered more comprehensively address gaps our understanding, foster
Язык: Английский
Процитировано
20
Frontiers in Artificial Intelligence, Год журнала: 2025, Номер 7
Опубликована: Янв. 16, 2025
Artificial Intelligence (AI) is a transformative technology impacting various sectors of society and the economy. Understanding factors influencing AI adoption critical for both research practice. This study focuses on two key objectives: (1) validating an extended version Technology Acceptance Model (TAM) in context by integrating Big Five personality traits mindset, (2) conducting exploratory k-prototype analysis to classify adopters based demographics, AI-related attitudes, usage patterns. A sample N = 1,007 individuals (60% female; M 30.92; SD 8.63 years) was collected. Psychometric data were obtained using validated scales TAM constructs, traits, mindset. Regression used validate TAM, clustering algorithm applied participants into adopter categories. The psychometric confirmed validity TAM. Perceived usefulness strongest predictor attitudes towards (β 0.34, p < 0.001), followed mindset scale growth 0.28, 0.001). Additionally, openness positively associated with perceived ease use 0.15, revealed four distinct clusters, consistent diffusion innovations model: early (n 218), majority 331), late 293), laggards 165). findings highlight importance shaping toward adoption. results provide nuanced understanding types, aligning established innovation theories. Implications deployment strategies, policy-making, future directions are discussed.
Язык: Английский
Процитировано
2
Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Окт. 25, 2024
Язык: Английский
Процитировано
10
Frontiers in Digital Health, Год журнала: 2025, Номер 7
Опубликована: Март 7, 2025
Background Advances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. These innovations promise enhanced diagnostic precision, improved operational workflows, more personalized patient care. However, the direct impact of on clinical outcomes, workflow efficiency, staff well-being requires further elucidation. Methods This integrative review synthesized findings from 18 studies published through November 2024 across diverse settings. Using PRISMA 2020 SPIDER frameworks alongside rigorous quality appraisal tools (MMAT ROBINS-I), examined multifaceted effects integration nursing. Our analysis focused three principal domains: advancements monitoring, efficiency workload management, ethical implications. Results The demonstrates that has yielded substantial benefits. AI-powered monitoring systems, including wearable sensors real-time alert platforms, have enabled nurses to detect subtle physiological changes—such as early fever onset or pain indicators—well before traditional methods, resulting timely interventions reduce complications, shorten hospital stays, lower readmission rates. For example, several reported early-warning algorithms facilitated faster responses, thereby improving safety outcomes. Operationally, AI-based automation routine tasks (e.g., scheduling, administrative documentation, predictive classification) streamlined resource allocation. efficiencies led a measurable reduction nurse burnout job satisfaction, can devote time despite these benefits, challenges remain prominent. Key concerns include data privacy risks, algorithmic bias, potential erosion judgment due overreliance technology. issues underscore need for robust targeted literacy training within curricula. Conclusion holds transformative practice by enhancing both outcomes efficiency. realize benefits fully, it is imperative develop frameworks, incorporate comprehensive education, foster interdisciplinary collaboration. Future longitudinal varied contexts essential validate support sustainable, equitable implementation Policymakers leaders must prioritize investments solutions complement expertise professionals while addressing risks.
Язык: Английский
Процитировано
1
SSRN Electronic Journal, Год журнала: 2024, Номер unknown
Опубликована: Янв. 1, 2024
The promise of generative AI to increase human productivity relies on developing skills become proficient at it. There is reason suspect that women and men use tools differently, which could result in payoff gaps a labor market increasingly demanding knowledge AI. Thus, it important understand if there are gender differences AI-usage among current students. We conduct survey the Norwegian School Economics collecting attitudes towards ChatGPT, measure proficiency, responses policies allowing or forbidding ChatGPT use. Three key findings emerge: first, female students report significantly lower compared their male counterparts. Second, more skilled writing successful prompts, even after accounting for higher usage. Third, imposing university bans widens gap intended substantially. provide insights into potential factors influencing adoption highlight role appropriate encouragement benefit from usage, thereby mitigating impacts later outcomes.
Язык: Английский
Процитировано
7
PNAS Nexus, Год журнала: 2024, Номер 3(10)
Опубликована: Окт. 1, 2024
Abstract The rise of generative AI tools has sparked debates about the labeling AI-generated content. Yet, impact such labels remains uncertain. In two preregistered online experiments among US and UK participants (N = 4,976), we show that while did not equate “AI-generated” with “False,” headlines as lowered their perceived accuracy participants’ willingness to share them, regardless whether were true or false, created by humans AI. was three times smaller than them false. This aversion is due expectations labeled have been entirely written no human supervision. These findings suggest content should be approached cautiously avoid unintended negative effects on harmless even beneficial effective deployment requires transparency regarding meaning.
Язык: Английский
Процитировано
7
Current Oncology Reports, Год журнала: 2025, Номер unknown
Опубликована: Янв. 3, 2025
Язык: Английский
Процитировано
0
Mind Brain and Education, Год журнала: 2025, Номер unknown
Опубликована: Янв. 5, 2025
ABSTRACT Generative artificial intelligence (AI) has become a major research trend in the fields of education and psychology. However, several risks posed by this technology concerning cognitive socio‐emotional development children adolescents have been identified. While it would be highly useful to clear understanding these potential negative effects, empirical results cannot obtained without putting participants studies situation that potentially endangers their development. Research such as biomedical sciences utilize measures minimize risks, dose escalation stopping rules. In addition, dynamic flexible forms informed consent could adopted our field maximize transparency. By including methodological advancements ethical developments psychological educational process, averted, soundness AI involving maintained.
Язык: Английский
Процитировано
0
Social Sciences & Humanities Open, Год журнала: 2025, Номер 11, С. 101301 - 101301
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Nursing Reports, Год журнала: 2025, Номер 15(2), С. 30 - 30
Опубликована: Янв. 22, 2025
Background/Objectives: The uneven distribution of nurses in Albania is a major problem that compromises equitable access to health services. Rural and less developed regions suffer from chronic shortage nursing staff, while urban areas attract professionals. This study aims quantify the inequalities Albania, analyzing nurse-to-population ratio its impact on quality healthcare. main objective this examine workforce assess regional disparities, using Gini coefficient Human Development Index (HDI) measure compare between regions. Methods: descriptive–analytical was conducted 2024. data were collected official sources, including Albanian Ministry Health World Organization (WHO). Lorenz curve used analyze relation population HDI different analysis included number nurses, population, socioeconomic conditions. Results: average 28 per 10,000 inhabitants, with significant variations Tirana has highest (60 inhabitants), Kukës Dibër have lowest values (10 inhabitants). calculated 0.0228, indicating very low level inequality workforce. Conclusions: Inequalities require targeted policy interventions. Policies are needed incentivize workers work regions, through economic incentives, infrastructure improvements, lifelong learning programs. These interventions essential reduce disparities ensure services across country.
Язык: Английский
Процитировано
0