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Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This study aims to address how the ISO 14001 standardisation and certification process improves substantive performance in small to medium-sized enterprises (SMEs) through the development of an environmental management control system (EMCS).

A qualitative cross-case interview design with those responsible for the implementation of an environmental management system (certified to ISO 14001) in SMEs is adopted to inductively “theorise” the EMCS.

The design and monitoring of environmental controls are often beyond the scope of the SMEs’ top management team and include extra-organisational dimensions such as the external audit and institutional requirements. This suggests more complex control pathways for SMEs to produce EMCS that primarily function as packages and are broader than the analytical level of the firm. Here, controlling for environmental performance exists at strategic and operational levels, as well as beyond the SMEs’ boundaries.

Various internal controls are put forward for SME owner-managers to meet environmental targets (e.g. gamification and interpersonal communication strategies). This builds upon a broader accountability perspective wherein formalised hierarchical control is only one route for ensuring sustainable action within the ISO 14001-certified SMEs.

This study contributes to a more sustainable society through developing an understanding of how environmental sustainability is substantively managed by SMEs to improve performance for current and future generations.

This paper, to the best of the author’s knowledge, is one of the first to establish how SMEs control for environmental sustainability from empirically derived evidence. In doing so, it provides an example of the EMCS for the SME context.