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This study aims to focus on the impact of supply chain (SC) integration, demand forecasting and supplier performance on patient responsiveness at public hospitals through the mediating role of SC flexibility.

To measure the above stated correlation, a Likert scale with five points and 23 items was used and structural equation modeling was applied. The scale was applied to public hospitals. Statistical software programs (SPSS 18 and LISREL 8.8) were used to analyze the data. The analysis of reported statistics is based on a sample of 129 logistics and SC specialists at public hospitals in the cities representing different regions of Turkey.

The research hypotheses are supported as a result of the analysis. The research reveals that SC flexibility has a mediation effect between SC integration, demand forecasting, supplier performance and patient responsiveness.

The increasing number of population, geopolitical position, migration waves, man-made and natural disasters lead Turkish health-care industry to have effective SC plans to satisfy the patients’ needs successfully and reduce the effects of these fatal events. In this sense, SC flexibility is an important factor for health-care industry in responding changing patient demands. At this juncture, the main point is to bring required resources together in the right place and at the right time. Otherwise, health-care institutions cannot serve the affected people because of the non-availability of supply. To achieve it, public health-care institutions should give more importance to the SC principles.

Success in SC flexibility in health care can directly affect patient welfare. Thus, focusing on the patient responsiveness is an important aim of the health-care industry. However, it was determined that less attention has been given to understanding patient satisfaction as a result of SC operations. The results indicate that patient responsiveness improvement should be included into strategic plans, and SC efforts should be used as a means of satisfying patient needs quickly. To the best of our knowledge, this is the first study investigating the mentioned relationships at public hospitals. Findings of this paper will have a significant contribution for researchers and health-care professionals in understanding the impact of SC to patient responsiveness.

The main purpose of this paper is to examine the extant literature of humanitarian supply chain management (HSCM) which specifically use dynamic capabilities (DCs) view. By this means, the objectives of this study are to identify and assess the DCs used in the HSCM context, the factors positively and negatively affecting the DCs and how the DCs affect humanitarian supply chain (HSC) operations. Furthermore, this research aims to give directions for future research in the field of HSCM.

This study adopts systematic literature review (SLR) approach proposed by Denyer and Tranfield (2009). Based on a SLR, this study synthesizes and compares the evidence, has a specific focus and research questions, has certain inclusion and exclusion criteria and provides evidence-based implications to the researchers and practitioners. This is a method which is replicable, transparent and auditable. The SLR methodology provides scholars and practitioners a basis for comprehending the current situation of relevant topic and taking correct steps in their future actions.

This SLR deduces that applying DCs view is still in its infancy in the HSCM literature. The result of this SLR reveals that supply chain agility (SCA), supply chain resilience (SCR), reconfiguration/transformation, integration, (short-term) collaboration, sustaining, sensing, seizing and knowledge access DCs have been used in the HSCM literature. In addition, it is determined that only one paper analyzed the influence of DCs on predisaster performance while rest of the papers focused on the postdisaster performance.

The result of the exhaustive literature search indicates that this is the first SLR that specifically analyzes the application of DCs view in the HSCM domain. This investigation determined the DCs used in HSCM and revealed the relations between the dependent and independent variables through the comprehensive model. In this way, this review provides a guidance to researchers in conduct their future investigations and practitioners to carry out supply chain (SC) operations by considering the factors affecting their operations.