Background: The concept of addiction in relation to cellphone and smartphone use is not new, with several researchers already having explored this phenomenon. Artificial intelligence has become important in the rapid development of the technology field in recent years. It has a very positive impact on our day-to-day life. Aim: To investigate the relationship between nursing students’ addiction to smart devices and their perceptions of artificial intelligence. Methods: A cross-sectional design was applied. The data were collected from 697 nursing students over three months at the College of Nursing, Princess Nourah bint Abdulrahman University. Results: The correlation test shows a significant correlation between smart device addiction and the artificial intelligence of the respondents (p-value < 0.05). In addition, the majority of the students, 72.7% (507), are moderately addicted to smartphones, 21.8% (152) are highly addicted, and only 5.5% (38) have a low addiction. Meanwhile, 83.6% (583) of them have high levels of perception of artificial intelligence and the rest, 16.4% (114), have a moderate level. Conclusions: The nursing students’ perception of artificial intelligence varies significantly according to their level of addiction to smart device utilization.

Although numerous scholars have studied resilience during the COVID-19 pandemic, research exploring its relationship with emotional intelligence is scarce. The aim of this study was to determine the relationship between the resilience and emotional intelligence (EI) of staff nurses during the COVID-19 pandemic. Data for this quantitative correlational study were gathered from the staff nurses of hospitals in the city of Hail, Saudi Arabia. The researchers employed simple random sampling, which yielded 261 staff nurses. Nationality (t = 6.422; p < 0.001) was found to have a significant relationship with resilience. Sex (t = 5.22; p < 0.001), ward assignment (t = 5.22; p < 0.001), age (F = 6.67; p < 0.001), and years of experience (F = 6.67; p < 0.001) revealed significant relationships with emotional intelligence. Resilience had a moderate positive relationship with EI (r = 0.55; p < 0.023), a weak positive relationship with self-emotion (r = 0.21; p < 0.003), and a very strong relationship with emotional appraisal (r = 0.85; p < 0.001). Improving emotional-intelligence skills is critical for assisting nurses during pandemic outbreaks. This can increase their individual and social resilience, while also improving their professional and life outcomes. These research findings suggest that emotional intelligence should be integrated into clinical practice and that EI data should be integrated into decision-making.

In a changing context, the use of knowledge management (KM) generates value and a long-lasting competitive advantage. As a critical issue for societal development, sustainable organisations must consider the relationship between KM and healthcare. They must investigate how knowledge is created and identify potential predictors of knowledge-sharing behaviour to support a hospital’s long-term knowledge-management strategy. Managers could benefit from KM strategies to improve the performance of hospitals and other healthcare organisations. This study aimed to determine the knowledge management and sustainability performance of a hospital organisation based on the perspective of the healthcare managers. A cross-sectional research approach was employed involving the healthcare managers of a government-subsidised hospital in the Hail Region of Saudi Arabia. The study was conducted between September and October 2022. The results demonstrated that knowledge management was commendable (4.41 ± 0.470) and had high sustainability performance (4.28 ± 0.558). Predictors for knowledge management included gender (B = 0.201; p = 0.002), managerial position (B = 0.285; p < 0.000), years of experiences as manager (B = 0.319; p < 0.000) and educational attainment (B = 0.092; p = 0.003). The predictors for sustainability were gender (B = 0.023; p < 0.000), managerial position (B = 0.352; p < 0.000) and years of experience as a manager (B = 0.0648; p < 0000). The study found that knowledge management was a predictive factor in sustainability regarding economic (B = 0.735; p < 0.000), social (B = 1.028; p < 0.000), environmental (B = 0.774; p < 0.000), technical (B = 0.751; p < 0.000) and governance (B = 0.526; p < 0.000), while knowledge management had a strong correlation to sustainability performance (R = 0.663; p < 0.000). Therefore, knowledge management for learning should be consistently created and shared to keep members involved in the core of operations. When knowledge is put into practice, it can help an organisation innovate, sustain better performance and guarantee long-term success. These study findings may additionally persuade workers to put more effort into knowledge management.

Background: Touch is an integral part of human interaction. Health care makes significant use of touch, and for most healthcare professionals, it is indispensable to their practice. An essential and inevitable facet of the nursing profession is the touching of patients during the provision of care. Unfortunately, touch is seldom considered in the nursing framework today.Aims: To emphasize the importance of touch in contemporary nursing practice in a highly technological environment.Materials and methods: A search was conducted on February–May 2022. The initial search identified 84 articles and the final analysis included 38 articles that met the inclusion criteria (touch; touch in health care; touch and nursing; touch and technology; nursing and technology; nursing and caring; touch and caring).Results: The nurses' touch will always be an irreplaceable component of caring in nursing.Discussion: There can be no substitute to the expressive touch of a nurse. As the technological revolution in nursing is inevitable, it is imperative that nurses consider how much these technologies impact the nurse–patient relationships.Conclusion: The study emphasized the importance of touch in contemporary nursing practice. The study found that the nurses' touch will always be an irreplaceable component of caring in nursing. The finding will have an impact on nurses and patients situated in highly technological healthcare environments.

This study explores the perceived congruence of effective values of nursing leadership between the nurse leaders and the staff nurses in a multicultural tertiary hospital. Methods: This is a descriptive sequential mixed-methods study conducted in a multicultural medical city in Saudi Arabia. Purposive sampling was used in the qualitative phase, while stratified sampling was used for the quantitative part. There were 70 participants in the qualitative phase, including 33 nurse leaders and 37 staff nurses. The quantitative phase had 571 participants, including 105 nurse leaders and 466 staff nurses. Results: Congruent values were categorised into six emerging themes: (1) cascading deference; (2) paragon of probity; (3) professional competence; (4) compassionate presence; (5) team diversity and inclusion; (6) calibrated communication. The quantitative survey confirmed that the values identified from the interviews were considered to be vital by both nurse leaders and staff nurses, and there were no statistically significant differences between staff nurses’ and nurse leaders’ perceptions, regardless of their nationality, as demonstrated by one-way ANOVA, with p-values less than 0.05 deemed to be statistically significant. Conclusion: Both nurse leaders and staff nurses in the multicultural institution have congruent leadership values that are perceived as essential to achieve institutional goals and, ultimately, safe and high-quality patient care.

This study investigates the differences between nursing students' surface and deep approaches to learning across their demographic profiles. Further, this study explores the association between the participants’ ages, year levels, and learning approaches. From December 2019 to February 2020, we used a quantitative-comparative- correlational study design at the University of Hail KSA. A survey-based questionnaire was used to collect data from 349 randomly selected nursing students. One-way analysis of variance (ANOVA) and t-tests were used to examine the difference between the surface learning and the deep learning approaches of the participants across their profiles. Pearson's correlation coefficient was used to determine the relationship between participants' learning approaches, ages, and year levels. A significant difference in the deep learning approach was noted for age (F (3, 345) = 35.71; p = 0.01] and program type (bridging/regular) [t (347) = −8.81, p = 0.01]. A moderately positive significant correlation was found between age and both deep (r = 0.47, n = 349, p = 0.01) and surface (r = 0.45, n = 349, p = 0.01) learning approaches. This study shows that nursing students use both surface and deep learning approaches alike and are able to capitalise on either learning style. Both learning approaches are important and valuable in nursing education. The age of the student is correlated with the learning approach. Older students have higher scores for both deep and surface learning approaches. Academia must develop creative learning environments that can encourage students to use both approaches and to advance the transition to deep learning.