Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Petra International journal of Business Studies (IJBS)
Yoshua Mayo
Institut Teknologi Harapan Bangsa
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
A Systematic Literature Review on Hospital Supply Chain Management: Exploring Hospital Types, Methodologies, SCOR Framework, and Technological Innovations Marla Setiawati; Christofer Yehuda; Damasus Dista Bima; Richardo Halim; Yoshua Mayo
Petra International Journal of Business Studies Vol. 7 No. 2 (2024): DECEMBER 2024
Publisher : Master of Management, School of Business and Management, Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/petraijbs.7.2.158-174

Abstract

This paper provides a systematic literature review of hospital supply chain management (SCM), emphasizing variations across hospital types, methodological frameworks, the SCOR model, and technological advancements. Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology, the study systematically identifies, screens, and synthesizes relevant research to ensure comprehensive and high-quality data. The article selection process was done through a multiple screening procedure by four researchers, who collaboratively assessed data quality and relevance to the research topic. Individual researchers then further evaluated each identified article to avoid bias and ensure objectivity in the selection process. It highlights unique SCM challenges public and private hospitals face, particularly in resource allocation and technology adoption. Constrained by budget limitations, public hospitals often depend on collaborations and streamlined processes to ensure essential supplies. In contrast, private hospitals leverage technological tools such as AI, IoT, and blockchain for real-time data analysis and efficiency gains. Key SCM methodologies reviewed include Deep Reinforcement Learning, Multi-Criteria Decision-Making frameworks, and simulation modeling, each offering diverse benefits in cost management, inventory control, and decision support. The SCOR framework’s applicability to hospitals is also discussed, emphasizing areas for process optimization and patient care improvements. The study concludes with insights into strategic SCM practices that support operational resilience, efficiency, and patient outcomes across hospital types, urging future research on scalable, technology-driven SCM solutions for healthcare institutions.
Co-Authors Christofer Yehuda Damasus Dista Bima Marla Setiawati Richardo Halim