The Role of Service Regulation in Pharmacy Waiting Time with Information Systems as Intervening
DOI:
https://doi.org/10.70062/globalmanagement.v3i1.523Keywords:
HMIS Utilization, Hospital, Human Competence, Service Regulation, Waiting TimeAbstract
The waiting time for outpatient pharmacy services at Permata Jonggol Hospital had not met the minimum service standards, potentially reducing service quality and patient satisfaction. This issue was suspected to be influenced by human resource (HR) competence, service regulations, and the utilization of the Hospital Management Information System (HMIS). This study aimed to analyze the effect of HR competence and service regulations on pharmacy waiting time, with HMIS utilization as an intervening variable. The study used a quantitative approach with a cross-sectional design. Data were collected at a single point in time using instruments that had been tested for validity and reliability. The data were analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS). The results showed that HR competence, service regulations, and HMIS utilization simultaneously had a significant effect on pharmacy waiting time. Partially, HR competence and service regulations significantly affected HMIS utilization and waiting time. HMIS utilization also significantly influenced waiting time and mediated the relationship between HR competence, service regulations, and pharmacy waiting time. In conclusion, improving pharmacists’ competence, strengthening service regulations, and optimizing HMIS utilization in an integrated manner were important strategies to reduce waiting time and improve service efficiency and quality
References
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Desai, R. (2024). Optimizing pharmacy operations: Strategies for efficiency and quality care. International Journal of Research and Innovations in Pharmacy Practice, 1(1).
Goldratt, E. M., & Cox, J. (1984). The goal: A process of on-going improvement. North River Press.
Hair, J. F., Babin, B. J., Anderson, R. E., & Black, W. C. (2022). Multivariate data analysis. Cengage Learning. https://books.google.co.id/books?id=PONXEAAAQBAJ
Kalashnikov, V. V. (2013). Geometric sums: Bounds for rare events with applications: Risk analysis, reliability, queueing. Springer Netherlands. https://books.google.co.id/books?id=amP_CAAAQBAJ
Karimikia, H., Safari, N., & Singh, H. (2020). Being useful: How information systems professionals influence the use of information systems in enterprises. Information Systems Frontiers, 22(2), 429–453.
Kurbel, K. E. (2013). Enterprise resource planning and supply chain management: Functions, business processes and software for manufacturing companies. Progress in IS. Springer.
Kuswari, M., Gantino, R., & Maratis, J. (2025). Maximizing healthcare service information system: Understanding the influence of integration on efficiency. ADI Journal on Recent Innovation, 6(2), 108–117.
Levi-Faur, D. (2011). Handbook on the politics of regulation. Edward Elgar Publishing.
Lucia, A. D., & Lepsinger, R. (1999). The art & science of competency models. Jossey-Bass.
Rogers, E. (2003). Diffusion of innovations (5th ed.). Free Press.
Spencer, L. M., & Spencer, P. S. M. (2008). Competence at work: Models for superior performance. John Wiley & Sons.
Spulber, D. F. (1989). Regulation and markets. MIT Press.
Sugiyono. (2018). Metode penelitian kuantitatif, kualitatif, dan R&D. Alfabeta. https://inlislite.uin-suska.ac.id/opac/detail-opac?id=22862
Tapping, D., & Shuker, T. (2018). Value stream management for the lean office. Productivity Press. https://doi.org/10.1201/b16934
Weber, M. (2009). The theory of social and economic organization. Simon and Schuster.

