International Journal of Research Studies in Management
CollabWritive Special Issue
2026 Volume 14 Issue 1
Available Online: 24 January 2026
Author/s:
Yang, Dongren
Graduate School, Lyceum of the Philippines University – Batangas, Philippines
Abstract:
This study aimed to examine the influence of Artificial Intelligence (AI) adoption on decision-making efficiency in health care enterprises in China. Specifically, it assessed the extent of AI adoption in terms of customer service, resource management, and task automation; determined decision-making efficiency in terms of speed, accuracy, and quality; tested the significant relationship between AI adoption and decision-making efficiency; evaluated the influence of AI adoption on decision-making efficiency; and proposed an action plan to enhance decision-making efficiency. A total of 250 participants from health care enterprises were surveyed using a descriptive research design. Data were analyzed using SPSS version 28. Weighted mean and rank were employed to assess AI adoption and decision-making efficiency across the identified dimensions. Pearson correlation was used to determine the significant relationship between AI adoption and decision-making efficiency, while regression analysis identified significant predictors. Case-wise diagnostics were conducted to detect outliers. Results revealed that AI adoption in health care enterprises is moderately implemented across customer service, resource management, and task automation. The overall level of decision-making efficiency was found to be efficient across speed, accuracy, and quality. A highly significant positive relationship was observed between AI adoption and decision-making efficiency across all domains. Regression analysis further indicated that resource management, task automation, and customer service are significant predictors of decision-making efficiency, with resource management exerting the strongest influence. Based on these findings, an action plan was developed to further enhance decision-making efficiency in health care enterprises through optimized AI adoption strategies. The study underscores the critical role of AI in improving operational performance and decision-making in the health care sector.
Keywords: AI adoption, health care enterprises, decision-making efficiency, operational performance
DOI: https://doi.org/10.5861/ijrsm.2026.26003
Cite this article:
Yang, D. (2026). Influence of Artificial Intelligence adoption on decision making efficiency in healthcare enterprises. International Journal of Research Studies in Management, 14(1), 29-36. https://doi.org/10.5861/ijrsm.2026.26003