The moderating role of ethical awareness in the relationship between nurses' artificial intelligence perceptions, attitudes, and innovative work behavior: a cross-sectional study.

BACKGROUND: Artificial intelligence is rapidly advancing and being integrated into healthcare, potentially revolutionizing patient care and improving outcomes by leveraging large datasets and complex algorithms. AIM: Investigate the moderating role of ethical awareness between nurses' artificial intelligence perceptions, attitudes, and innovative work behaviors. DESIGN AND METHODS: A cross-sectional descriptive correlational design adhering to STROBE guidelines. A non-probability convenience sample of 415 Alexandria Main University Hospital nurses was analyzed. Statistical methods included one-way ANOVA, the student t-test, and the Pearson coefficient, with results evaluated for significance at the 5% level and internal consistency assessed via Cronbach's α. Linear regression assessed the predicting and moderating effect between ethical awareness, nurses' artificial intelligence perceptions, attitudes, and innovative work behavior. The perceptions of using the Artificial Intelligence Scale, general attitudes towards the Artificial Intelligence Scale, ethical awareness of Using Artificial Intelligence, and the Employee Innovative Behavior Scale were used to respond to the research aim. RESULTS: The study revealed that perception of AI use among nurses has a mean score of 50.25 (SD = 3.49), attitudes towards AI have a mean score of 71.40 (SD = 4.98), ethical awareness regarding AI use shows a mean score of 43.85 (SD = 3.39), and nurses innovative behavior exhibits a mean score of 83.63 (SD = 5.22). Attitude and ethical awareness were statistically significant predictors of innovation. Specifically, for every one-unit increase in attitude, innovative work behaviors increase by 1.796 units (p = 0.001), and for every one-unit increase in ethical awareness, innovative work behaviors increase by 2.567 units (p = 0.013). The interaction effects between perception, ethical awareness, attitude, and ethical awareness were also examined. Only the interaction between attitude and ethical awareness was found to be significant (p = 0.002), suggesting that the effect of attitude on innovative work behaviors depends on the level of ethical awareness. In other words, ethical awareness moderates the relationship between attitudes and innovative work behaviors rather than perception and innovation. CONCLUSION: There is a statistically significant correlation between attitude, ethical awareness, and creativity, highlighting that ethical awareness moderates the relationship between attitudes and innovative work behaviors. These findings emphasize the importance of ethical awareness in fostering positive attitudes towards AI and enhancing innovative practices in nursing, ultimately contributing to nurses' well-being.

Green intellectual capital: The secret ingredient for organizational competitive advantage in the nursing profession-a cross-sectional study from Egypt.

Background: In the contemporary healthcare environment, managing human resources expertise is just as imperative as having the supreme amount of working capital. Every business must constantly build its capacity, expertise, and competitive edge by utilizing its intellectual property and experience. Objective: This study aimed to assess the relationship between green intellectual capital and organizational competitive advantage among nurses. Methods: The study employed a descriptive correlational design among 350 nurses selected using convenience sampling. Data were collected from March 2023 to June 2023 using the Organizational Competitive Advantage Scale and the Green Intellectual Capital Questionnaire. Data were analyzed using t-test, ANOVA, and Pearson correlation. Results: Most nurses had a moderate level of green intellectual capital (Mean = 3.60, SD = 0.27). The overall mean score for organizational competitive advantage was moderate (Mean = 3.34, SD = 0.34). The overall score of the green intellectual capital (r = 0.257, p <0.001) and its dimensions⎯green human capital (r = 0.257, p <0.05), green structure capital (r = 0.257, p <0.001), and green relational capital (r = 0.257, p <0.001)⎯had significant positive correlations with organizational competitive advantage. Conclusion: Being eco-friendly has become a determining factor in the organizational competitive advantage. The study highlights the significance of nursing management in establishing partnerships with external entities to share knowledge and advance sustainable healthcare methods. It advocates for assessing organizational environmental performance and its influence on competitive edge through creating metrics, monitoring progress, and utilizing data for decision-making. Healthcare and nurse administrators are advised to set performance benchmarks, track advancements, and integrate eco-friendly strategies to bolster the hospital's competitiveness in the market.

Unraveling the synergy: how organizational intelligence fuel soft skills and nurses' thriving: a cross-sectional study.

AIM: Investigate the influence of organizational intelligence on the development of soft skills and the overall thriving of nurses at Alexandria Main University Hospital in Egypt. DESIGN: A cross-sectional descriptive design following STROBE guidelines examined the relationship between organizational intelligence, soft skills, and nurses' thriving. METHODS AND TOOLS: Data were collected from 740 nurses working across critical care units using structured questionnaires. The questionnaires assessed organizational intelligence, soft skills, and thriving at work. Sociodemographic characteristics, including age, gender, education, and nursing experience, were also collected. Statistical analyses were used to analyze the data, including ANOVA, t-tests, Pearson correlation, and stepwise regression. RESULTS: The findings revealed nurses' positive perceptions of organizational culture and documentation skills. However, areas such as measures and rewards and staff relations and communication indicated opportunities for improvement. Nurses reported high vitality levels but needed more learning opportunities at work. Significant correlations were found between demographic variables, organizational intelligence, soft skills, and thriving. Organizational intelligence demonstrated a robust positive relationship with both soft skills and thriving. Age, gender, education, and experience significantly influenced nurses' soft skills and thriving. CONCLUSION: The study highlights the importance of organizational intelligence in enhancing nurses' professional capabilities and well-being. Addressing demographic factors and fostering a supportive work environment is crucial for optimizing nursing practice and organizational effectiveness. NURSING IMPLICATIONS: Insights from this study can inform targeted interventions and policy decisions to enhance nursing practice, organizational development, and healthcare outcomes in Egypt. Fostering organizational intelligence and soft skills among nurses can improve patient care, increase job satisfaction, and overall organizational success.

Exploring the relationship between organisational silence and organisational learning in nurses: A cross-sectional study.

AIMS: To assess the organisational silence and learning levels among nurses of a university hospital and explore the relationship between the socio-demographics, organisational silence and learning. BACKGROUND: Organisational learning is an active process needed for improving organisational performance, and silence has a devastating impact on an organisation's capacity to learn. METHODS: A cross-sectional quantitative design was applied using two tools: the organisational silence and the organisational learning scales. Over 3 months, data were collected from 724 nurses. The data were then analysed using suitable statistical methods. RESULTS: The organisational silence level is moderate. The organisational learning level is predominantly moderate. The association between the two scales is a weak negative correlation, yet statistically significant. The multiple regression analysis was better in predicting organisational learning scores. CONCLUSIONS: There is a highly statistically significant negative weak correlation between overall organisational silence and overall organisational learning. More researchers are invited to implement of interventions to promote speaking-up behaviours and organisational learning in nurses. IMPLICATIONS FOR NURSING MANAGEMENT: Nurse managers and leaders can create a work atmosphere that encourages and promotes open communication among nurses and other health care team members, likewise, creating an environment conducive to translating experiences into organisational learning.