Impact of the Adoption of Business Process Automation and Artificial Intelligence on Employee Performance of Nurses in the Healthcare Industry

Cruz, Maria Josefa (2024) Impact of the Adoption of Business Process Automation and Artificial Intelligence on Employee Performance of Nurses in the Healthcare Industry. Masters thesis, Dublin, National College of Ireland.

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Abstract

This study aimed to explore the impact of the adoption of Business Process Automation and Artificial Intelligence on the employee performance of nurses in the healthcare industry. It also sought to determine whether the tenure of nurses influences their perceived usefulness of BPA and AI adoption. Lastly, this study intended to find out the relationship between the nurses’ perceived extent of training and support and the nurses’ perceived usefulness of BPA and AI. A mono-method quantitative, deductive approach was adopted that focused on collecting primary data through a structured questionnaire. The reliability of the instrument was tested using Cronbach’s Alpha. The study sample comprised of seventy nurses from five geographic locations, selected through the nonprobability, snowball sampling technique. The test for normality of the distribution of data using Kolmogorov-Smirnov and Shapiro-Wilk tests revealed a non-normal data distribution. Therefore, non-parametric tests such as simple linear regression, Kruskal-Wallis, and Spearman rank order correlation tests were conducted. The results showed a significant positive relationship between the adoption of BPA and AI and the employee performance of nurses. Secondly, the tenure of nurses showed no significant influence on their perceive usefulness of BPA and AI. Finally, a positive significant relationship was established between the nurses’ perceived extent of training and support and the nurses’ perceived usefulness of BPA and AI. Based on this, the study recommends that managers of healthcare organisations definitely consider the adoption of BPA and AI as these tools enhance the nurses’ efficiency and patient care and reduce their workload and stress. Consequently, helping the organisation achieve operational excellence through increased patient satisfaction, patient loyalty and hospital revenue. However, manager should not ignore IT-related stress that affects the nurses. Additionally, managers must consistently recognise the importance of providing training and support to ensure that employees can adapt to the digital changes.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Barone, Gaia UNSPECIFIED
Subjects:	R Medicine > RT Nursing Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence R Medicine > Healthcare Industry H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management > Human Resource Management > Performance Management
Divisions:	School of Business > Master of Science in International Business
Depositing User:	Ciara O'Brien
Date Deposited:	06 Jun 2025 14:14
Last Modified:	06 Jun 2025 14:14
URI:	https://norma.ncirl.ie/id/eprint/7789

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