Year
2025
Abstract
This study investigates the effect of six key factors on pharmaceutical supply chain performance (PSCP) at Private Hospital “X” in Surabaya: inventory level control, demand forecasting, supply chain flexibility, supply chain integration, supply chain visibility, and information sharing. A quantitative approach was applied using a questionnaire survey in April 2025, with 187 medical and non-medical staff meeting the inclusion criteria. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), complemented by Importance-Performance Map Analysis (IPMA) and Prediction-Oriented Segmentation (PLS-POS). Results show that all factors positively and significantly influence PSCP (p < 0.05), with inventory level control being the most dominant (β = 0.336), followed by supply chain visibility (β = 0.224). IPMA identifies inventory level control and demand forecasting as high importance–high performance, while supply chain visibility shows high performance but lower perceived importance. These findings align with the Resource-Based View (RBV), highlighting the strategic value of integrated internal resource management. The study recommends enhancing pharmaceutical supply chain systems to improve hospital efficiency, adaptability, and sustainability.
Keywords:
pharmaceutical supply chain performance; inventory level control; demand forecasting; supply chain visibility; private hospital
Recommended Citation
Yuliana, Yuliana and WUISAN, DEWI SRI SURYA, "Analysis of Factors Affecting Pharmaceutical Supply Chain Performance in Private Hospital “X” Surabaya" (2026). International Conference on Business and Management Research (ICBMR). 35.
https://scholarhub.ui.ac.id/icbmr/2025/1/35
Analysis of Factors Affecting Pharmaceutical Supply Chain Performance in Private Hospital “X” Surabaya
This study investigates the effect of six key factors on pharmaceutical supply chain performance (PSCP) at Private Hospital “X” in Surabaya: inventory level control, demand forecasting, supply chain flexibility, supply chain integration, supply chain visibility, and information sharing. A quantitative approach was applied using a questionnaire survey in April 2025, with 187 medical and non-medical staff meeting the inclusion criteria. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), complemented by Importance-Performance Map Analysis (IPMA) and Prediction-Oriented Segmentation (PLS-POS). Results show that all factors positively and significantly influence PSCP (p < 0.05), with inventory level control being the most dominant (β = 0.336), followed by supply chain visibility (β = 0.224). IPMA identifies inventory level control and demand forecasting as high importance–high performance, while supply chain visibility shows high performance but lower perceived importance. These findings align with the Resource-Based View (RBV), highlighting the strategic value of integrated internal resource management. The study recommends enhancing pharmaceutical supply chain systems to improve hospital efficiency, adaptability, and sustainability.