Artificial Intelligence as the Driver for Organizational Excellence and Ambidexterity among Nurses | ||
| Egyptian Journal of Health Care | ||
| Volume 14, Issue 4, December 2023, Pages 1282-1298 PDF (680.33 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/ejhc.2023.344638 | ||
| Authors | ||
| Waffaa El Sayed Hassan Helal1; Samia Gamal Mohmed Elsagheir2; Sanaa Mohammed Soliman3 | ||
| 1Assistant Professor of Nursing Administration, Faculty of Nursing-Helwan University, Egypt. | ||
| 2Lecturer of Nursing Administration, Faculty of Nursing-Helwan University, Egypt. | ||
| 3Lecturer of Nursing Administration, Faculty of Nursing-Fayoum University, Egypt. | ||
| Abstract | ||
| Background: Surviving in today’s challenging economy drives organizations to be continuously innovate and have its own competitive advantages and the increasing effect of globalization and technology, organizations have started to use artificial intelligence in various functions and departments to build the organizational excellence which is a key requirement for flourishing, mounting, and advance in a context that is changing speedily, and imperative for organizations to be ambidextrous through displaying both innovation and implementation to survive. The study aimed to explore the possibility of artificial intelligence as a driver for organizational excellence and ambidexterity as reported by the studied nursing staff. Design: An exploratory descriptive design was utilized. Setting: The study was conducted at Badr Hospital, which is affiliated to Helwan University in all departments. Subjects: A simple random sample of total number (n=160) out off (n=250) nursing staff, who had at least a one-year of experience in the study setting, and decided to participate in the study at the time of data collection. Tools of data collection: Three tools were used for data collection: Artificial Intelligence Questionnaire, Organizational Excellence Questionnaire and Organizational Ambidexterity Instrument. Results: revealed that, the nursing staff reported a high level of artificial intelligence (89%), moderate levels of organizational excellence and organizational ambidexterity (65.9 % & 48.8% respectively), and there was a highly positive statistically significant correlation between total artificial intelligence and total levels of organizational excellence and ambidexterity. Conclusion: The study concluded that, artificial intelligence was a highly significant driver for organizational excellence and organizational ambidexterity as reported by the studied nursing staff. Recommendations: The study recommended that, the hospital administration should enhance the culture of adoption and support of advanced technology, specifically artificial intelligence applications and machine learning tools, by using electronic work and clarifying the advantages and benefits of applying it, for employees and organizations alike. Piercing training on the standards of excellence management through seminars, workshops and forums for nursing staff and focus on identifying their strengths and weakness in the performance and taking actions. In addition to, healthcare organizations should completely revolutionize to drive ambidexterity through organization to mirror on patient outcomes, quality of nursing care and delivered health service. | ||
| Keywords | ||
| Artificial Intelligence; Organizational Ambidexterity and Organizational Excellence | ||
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