Artificial Intelligence As The Driver For Organizational Excellence And Ambidexterity Among Saudi Nurses

Authors

  • Falah Mohammed Alotaibi , Abdulkarim Saeed Alzahrani , Adnan Khader Marzoug Alqurashi , Awadh Fahad Alharbi , Abdullah Habib A Alsharif , Turki Kahlid Alshetery , Hamdan Dughayyim M Albanaqi , Mohamd Abdullah Ibrahim Algamdi,
  • Hessah Ibrahim Nasser Alfayez , Alanoud Abdul Mohsan Al Hamali , Saeed Mansour Alzahrani , Norah Abdul Mohsan Al Hamali , Haifa Awad Almutairi , Noor Awad Alanazi , Muneer Abdu Mohammed Ahyaf , Zaben Hajed Alotaibi

Abstract

Background: Surviving in today’s challenging economy energies organizations to be unremittingly modernize and have its own competitive advantages and the snowballing 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 Makkah Hospital, Saudi Arabia 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 nursin[1]g 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.

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Published

2022-03-20

How to Cite

Falah Mohammed Alotaibi , Abdulkarim Saeed Alzahrani , Adnan Khader Marzoug Alqurashi , Awadh Fahad Alharbi , Abdullah Habib A Alsharif , Turki Kahlid Alshetery , Hamdan Dughayyim M Albanaqi , Mohamd Abdullah Ibrahim Algamdi, & Hessah Ibrahim Nasser Alfayez , Alanoud Abdul Mohsan Al Hamali , Saeed Mansour Alzahrani , Norah Abdul Mohsan Al Hamali , Haifa Awad Almutairi , Noor Awad Alanazi , Muneer Abdu Mohammed Ahyaf , Zaben Hajed Alotaibi. (2022). Artificial Intelligence As The Driver For Organizational Excellence And Ambidexterity Among Saudi Nurses. Migration Letters, 19(S2), 1424–1442. Retrieved from https://migrationletters.com/index.php/ml/article/view/10289

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Articles