Impact of Artificial Intelligence Tools on Employee Productivity: A Quantitative Analysis in Tertiary Care Hospitals of Gujranwala
DOI:
https://doi.org/10.53762/alnasr.03.02.e01Keywords:
AI Tools, Employee Productivity, Quantitative Analysis, Tertiary Care Hospitals, GujranwalaAbstract
Given the Social Cognitive Theory concept in global understanding, Employee Productivity through Artificial Intelligence can be tested in other contexts. It is research within the tertiary care hospitals of City Gujranwala (GTH (775 bedded) and GMCTH 502 bedded). The results shows that AI tools significantly & positively helps the management and give a road map to facilitate their routine tasks and healthcare professionals to ease their clinical and theoretical concepts by using AI tools. This study also explores the hypothesis and the mediating role of Organizational Support (OS), use of Information Technology (IT) and Employee Innovations. The data was collection from the tertiary care hospitals of Gujranwala from 165 doctors, management and supportive staff. Partial Least Squares (PLS) results shown that the research can be conducted in other tertiary care hospitals to examine its impact. Other research areas include expanding the theoretical model with other independent and dependent variables and to validate it in different organizational contexts to make out a clearer image of the relationships one during the testing.
References
Asif Yousaf, Q. U. (2024). Quantitative analysis and outcomes of road traffic accidents. Journal of Health & Rehabilitation Research, 180-184.
Bandura, W. R. (1989). Social cognitive theory of organizational management. Academy of Management Review, 361-384.
Catherine Prentice, S. D. (2020). Emotional intelligence or artificial intelligence – an employee perspective. Journal of Hospitality Marketing & Management, 377-403.
Cavanagh, J., & P. P.-C. (2021). In what ways are HR analytics and artificial intelligence. Asia Pacific Journal of Human Resources, 59(1), 152-155.
Henseler, J., & R. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135.
Kazi, A. M., & S. Q. (2020). Current challenges of digital health interventions in Pakistan. Journal of Medical Internet Research, 22(9), 191-196.
Kirshan Kumar, L. A. (2023). The rise of artificial intelligence and its influence on employee performance and work. Global Social Sciences Review (GSSR), 463-479.
Kumari, P. L., Pandey, J. K., Verma, K., Naidu, G. T., & Gupta, A. (2023). Impact of artificial intelligence on employee performance. AIP Publishing, 1-15.
Mr. Anudeep Aravala, M. A. (2020). Impact of artificial intelligence on productivity of employee productivity. IJIRT, 492-497.
Ms. Sapna Khatri, R. S. (2018). Artificial intelligence: A tool for organizational productivity. Journal of Emerging Technologies and Innovative Research (JETIR), 5.
Tajudeen, S. R. (2022). Impact of artificial intelligence in human resource management: A qualitative study in the Malaysian context. Asia Pacific Journal of Human Resources.
Umasankar Murugesan, P. S. (2023). A study of artificial intelligence impacts on human resource digitalization. Decision Analytics Journal, 7(2023), 100249, 1-9.
Umasankar Murugesan, P. S. (2023). A study of artificial intelligence impacts on human resource digitalization in Industry 4.0. Decision Analytics Journal, 1-9.
Vertesy, G. D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review, 1-25.
Kiran Jameel1, H. A. (2020). CURRENT AND FUTURE IMPACT OF ARTIFICIAL INTELLIGENCE: AN EMPLOYMENT PERSPECTIVE BASED ON CASE STUDIES. ParkArch Journal of Archiology, 2914-2930.
Kirshan Kumar, L. A. (2023). The Rise of Artificial Intelligence and Its Influence on Employee Performance and Work. Global Social Sciences Review (GSSR), 463-479.
Kumari, P. L., Pandey, J. K., Verma, K., Naidu, G. T., & Gupta, A. (2023). Impact of artificial intelligence on employees performance in. AIP Publishing , 1-15.
Mr. Anudeep Aravala1, M. A. (2020). Impact of Artificial Intelligence on productivity of the Employee Productivity. IJIRT, 492-497.
Ms. Sapna Khatri, R. S. (2018). Artificial Intelligence, A tool for Organizational productivity . Journal of Emerging Technologies and Innovative Research (JETIR), 5.
Suddin Lada a, B. C. (2023). Determining factors related to artificial intelligence (AI) adoption among Malaysia’s small and medium-sized businesses. Journal of Open Innovation: Technology, Market and Complexity, 1-10.
Tajudeen, S. R. (2022). Impact of artificial intelligence in human resource management: a qualitative study in the Malaysian context. Asia Pacific Journal of Human Resources,.
Umasankar Murugesan a, P. S. (2023). A study of Artificial Intelligence impacts on Human Resource Digitalization. Decision Analytics Journal 7 (2023) 100249, 1-9.
Vertesy, G. D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review , 1-25.
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