Background: Public hospital managers in Rio de Janeiro must deal with severe budget costs, which is the only source of income of public hospitals. In this sense, systematic supply chain risk management can contribute to identifying such risks, assessing their severity, and developing mitigating plans, or even revealing the lack of such plans. Private hospital networks must also map their risks since they are facing a diminishing of demand given that unemployment in Brazil, which is growing in the past years, generates an impossibility of affording private healthcare.
Objective: The purpose of this paper is to investigate how supply chain risk management is being applied in healthcare supply chains from Rio de Janeiro - Brazil. This study considers supply chains located in the state of Rio de Janeiro. To accomplish this objective, we provide answers to two Research Questions: RQ1 - Is SCRM known as a concept among Rio de Janeiro healthcare supply chains? RQ2 - How are risk identification, risk assessment, and risk mitigation being implemented by companies from the healthcare supply chains in Rio de Janeiro - Brazil?
Method: Our research design is based on four steps: i) Research design; ii) Case selection: iii) Data collection (11 cases selected); iv) Data analysis.
Results: The interviews revealed that SCRM is an entirely unknown concept among healthcare supply chains from Rio de Janeiro - Brazil. Managers have empirical knowledge of the risks, and they can identify the most hazardous risks and can come up with solutions to mitigate them, nevertheless, in many situations they do not have the authority or the manpower to implement the solutions, at most, managers implement local risk mitigation initiatives that do not consider the supply chains broader context.
Conclusion: The healthcare organizations studied by this paper do not apply SCRM. They only apply local isolated solutions not considering a supply chain scope. This can become hazardous since isolated risk mitigation initiatives are often innocuous and have the potential to generate other risks.
Keywords: Supply chain risk resilience; qualitative data; qualitative study.