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The study aims to present an agent-based simulation model (ABM) for exploring interorganizational coordination scenarios in local disaster preparedness. This approach includes local actors and logistical processes as agents to compare various strategic coordination mechanisms.

The ABM model, developed in the Latin American context, specifically focuses on a case study of Colombia. Three coordination mechanisms (centralized, decentralized and cluster-type) have been evaluated using three performance indicators: effectiveness, efficiency and flexibility.

Simulation results show that the decentralized scenario outperforms in terms of efficiency and flexibility. On the contrary, the centralized and cluster-type scenarios demonstrate higher effectiveness, achieving a greater percentage of requirements coverage during the disaster preparedness stage. The ABM approach effectively evaluates strategical coordination mechanisms based on the analyzed performance indicators.

This study has limitations due to the application of results to a single real case. In addition, the focus of the study is primarily on a specific type of disaster, specifically hydrometeorological events such as flash floods, torrential rains and landslides. Moreover, the scope of decision-making is restricted to key actors involved in local-level disaster management within a municipality.

The proposed ABM model has the potential as a decision-making tool for policies and local coordination schemes for future disasters. The simulation tool could also explore diverse geographical scenarios and disaster types, demonstrating its versatility and broader applicability for further insights and recommendations.

Researchers have devoted considerable attention to ecolabel products and their purchase intention. However, empirical research often presents relatively unpredictable and uneven results. Thus, the relationship between the antecedents and outcome variables among ecolabelling studies, such as purchase intention, remains ambiguous. To address this gap in the literature, this study combines the Theory of Planned Behaviour (TPB) and Stimulus, Organism, Response (SOR) theory within a meta-analytic framework, consolidating existing literature on the purchase intention of eco-labelled products to analyse concrete relationships between antecedents and purchase intention.

We conducted a comprehensive analysis of 37 studies and a total sample size of 16,672 participants. The analysis employed a MASEM technique, and the findings of the analysis offer empirical support for the significance of all the proposed relationships within the provided conceptual framework.

The results revealed that environmental advertising significantly impacts green attitude and later substantially influences consumers' intention to make environmentally conscious purchases. The present study also has examined the potential inclusion of different recommended moderators, such as time period and sample size.

The current study focuses on core variables consistently utilized in previous research. Apart from these, additional variables have also been considered in the ecolabelling literature but have not been included in the scope of this study. Future research endeavours may incorporate additional moderators, such as cultural differences and gender dominance, to further enhance the understanding of the subject matter.

Notably, it stands out as one of the initial meta-analyses on ecolabelling, which also incorporated the examination of several moderators.