Predictive roles of organizational and personal factors in work engagement among nurses

Objective:To determine the work engagement levels of hospital nurses and the predictive roles that nurses’personal and organizational characteristics play.Methods:A cross-sectional design was employed in this study,which included 549 nurses working in the Central Philippines.Nurses were selected through purposive sampling,and a self-repor t questionnaire outlining personal and organizational characteristics was employed.The Utrecht Work Engagement Scale(UWES)was applied to gather data about nurse engagement.Results:The dedication score was the highest among the three dimensions of engagement while the vigor score was the lowest.Overall,Filipino nurses experienced an average level of work engagement.We observed significant relationships between a nurse’s age,years of experience in nursing,years in their present unit,and their position at work and their levels of engagement,vigor,sense of dedication,and absorption.Hospital capacity was a negative predictor of vigor,dedication,absorption,and overall work engagement.Fur ther,the type of nursing contract was a negative predictor of vigor and dedication.The type of hospital and the nurse’s position were positive predictors of vigor,dedication,and absorption.Conclusions:Filipino nurses were satisfactorily engaged at work.A number of nurses’personal and organizational characteristics play a predictive role in their work engagement.Thus,nursing administrators must suppor t,develop,and implement activities and measures that engage nurses at work.

Trust beyond Technology Algorithms: A Theoretical Exploration of Consumer Trust and Behavior in Technological Consumption and AI Projects

In an era dominated by artificial intelligence (AI), establishing customer confidence is crucial for the integration and acceptance of AI technologies. This interdisciplinary study examines factors influencing customer trust in AI systems through a mixed-methods approach, blending quantitative analysis with qualitative insights to create a comprehensive conceptual framework. Quantitatively, the study analyzes responses from 1248 participants using structural equation modeling (SEM), exploring interactions between technological factors like perceived usefulness and transparency, psychological factors including perceived risk and domain expertise, and organizational factors such as leadership support and ethical accountability. The results confirm the model, showing significant impacts of these factors on consumer trust and AI adoption attitudes. Qualitatively, the study includes 35 semi-structured interviews and five case studies, providing deeper insight into the dynamics shaping trust. Key themes identified include the necessity of explainability, domain competence, corporate culture, and stakeholder engagement in fostering trust. The qualitative findings complement the quantitative data, highlighting the complex interplay between technology capabilities, human perceptions, and organizational practices in establishing trust in AI. By integrating these findings, the study proposes a novel conceptual model that elucidates how various elements collectively influence consumer trust in AI. This model not only advances theoretical understanding but also offers practical implications for businesses and policymakers. The research contributes to the discourse on trust creation and decision-making in technology, emphasizing the need for interdisciplinary efforts to address societal challenges associated with technological advancements. It lays the groundwork for future research, including longitudinal, cross-cultural, and industry-specific studies, to further explore consumer trust in AI.

Local HIV/AIDS NGOs and Client Satisfaction: Dimensions and Explanatory Factors through a Multilevel Regression Analysis

Background: HIV/AIDS Non-governmental organizations (NGOs) in Benin can use evaluations (including client satisfaction surveys) as tools to improve the effectiveness of their interventions. Objective: It is to identify the dimensions of NGO clients’ satisfaction and their associated factors. Methods: We conducted a cross-sectional survey of 2413 clients receiving both preventive and curative services from 31 NGOs working in HIV/AIDS prevention-screening and providing care to persons living with HIV. Results: We identified four dimensions of satisfaction relevant to our setting: reception and humane attitude, accessibility of care and resources, staff availability and competence and continuity of care. Individual factors [(age positively and gender (men negatively)] statistically significantly influenced global satisfaction and three of its four dimensions but the strength of these associations was too weak. Concerning organizational factors, involvement in evaluation had a negative effect on reception and humane attitude. A local source as principal source of funding was associated with greater satisfaction with accessibility of care and resources, while foreign partners as the principal source of funding were associated with greater satisfaction in terms of both global satisfaction and its dimensions, except for continuity of care. Organizational factors explain from 12.5% to 15.6% of the variance of global satisfaction and its dimensions (except for continuity of care). Conclusion: These information on the global satisfaction and its dimensions as well as the influencing factors are important for NGOs and their partners as these can help them to plan and implement actions to improve performance.

Study of Impacts of Small Business Innovation Research Programs

The development and commercialization of new technologies are important to the global economy. In this paper, the author first addresses Small Business Innovation Research （SBIR） background ; then, implicitly defines SBIR ; finally, I also analyze the impacts of smaU business innovation research programs. There are four aspects ： entrepreneurial orientation; environmental factors; organizational factors and performanee.