Wanas, A., Edrees, D. (2023). Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses. Assiut Scientific Nursing Journal, 11(40), 250-264. doi: 10.21608/asnj.2023.251829.1728
Asmaa Hosny Belal Wanas; Doaa Abd El-Fattah Mousa Edrees. "Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses". Assiut Scientific Nursing Journal, 11, 40, 2023, 250-264. doi: 10.21608/asnj.2023.251829.1728
Wanas, A., Edrees, D. (2023). 'Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses', Assiut Scientific Nursing Journal, 11(40), pp. 250-264. doi: 10.21608/asnj.2023.251829.1728
Wanas, A., Edrees, D. Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses. Assiut Scientific Nursing Journal, 2023; 11(40): 250-264. doi: 10.21608/asnj.2023.251829.1728
Artificial Intelligence Technology and Its Relation to Job Control and Job Crafting among Intensive Care Nurses
Lecturer of Nursing Administration, Faculty of Nursing, Tanta University, Egypt
Abstract
Background: Artificial intelligence technology (AIT) makes a profound change in critical care settings involving nursing profession. It can help intensive care nurses (ICNs) to make more precise decisions and become higher job controlled. On the other side, this digital transition requires nurses to craft their work by altering their thinking regarding their jobs to be more satisfying and meaningful for them. Aim: To explore artificial intelligence technology perception and its relation to job control and job crafting among intensive care nurses. Design: Descriptive correlational design was utilized. Setting: The study was carried out at Tanta University Hospitals including all ICUs. Subjects: A stratified random sample was taken from intensive care nurses (n = 268). Tools: Three tools were used namely; Artificial Intelligence Technology Perception Questionnaire, Job Control Scale, and Job Crafting Scale. Results: About half (50.4%) of ICNs had a high level of artificial intelligence technology perception. Around two thirds (64.6%) of ICNs had a high level of job control. More than two thirds (66.8%) of ICNs had a high level of job crafting. Conclusion: There was a statistical significant positive correlation between intensive care nurses’ artificial intelligence technology perception, job control, and job crafting. Recommendation: Conducting periodic workshop and training programs about artificial intelligence and job crafting. Creating supportive working environment that enhances nurses’ job control and job crafting.
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