## 5 Conclusions  
Over the past two decades, there has been significant academic attention directed towards supply chain disruptions, leading to the emergence of supply chain resilience. Various frameworks and assessment tools, including MMs, have been employed to attain resilience objectives. This research aimed to bridge the gaps existing in the available structured MMs for evaluating supply chain resilience. Through an extensive analysis of previous ResMMs, the study proposed the MaMoReS. The MaMoReS is a five-level and five-dimension assessment framework. The MaMoReS represents an innovative assessment tool within the realm of supply chain management, serving both academic and practical purposes. From an academic perspective, the present paper introduces a novel MM obtained through a systematic review of relevant scientific contributions. Moreover, it identifies the dimensions and key elements that should be considered when addressing the resilience of a supply chain. This extends previous studies by incorporating all the dimensions they considered. This possibly leads to a more comprehensive model and precise evaluation. From a practical standpoint, this paper introduces a MM for assessing supply chain resilience. The model is developed for practitioners' utilization and it is applicable to various types of disruptive events. Supply chain managers can exploit the developed model to assess their level of maturity. They can also exploit the model to identify weaknesses and prioritize investments to reach a higher level of resilience. Specifically, practitioners can evaluate their performance related to each sub-dimension based on a five-point Likert scale. Next, the overall performance of the dimension is estimated according to Equation (1). Finally, Equation (2) can be used to estimate the maturity level. Following these steps, practitioners can assess their overall maturity as well as their performance in each dimension. Therefore, this allows them to target the weakest dimensions for improvement. Within the weakest dimensions, they should prioritize the sub-dimensions associated with the lowest scores. As with any other work, the present study conceals some limitations as well. A crucial constraint lies in the model's theoretical approach, lacking empirical validation. Indeed, only a qualitative validation of the definition clarity was conducted, along with assessing whether a sub-dimension may impact the resilience. Future improvements could entail validating the tool conducting statistical quantitative analyses on content validity and reliability. This will evaluate more in-depth the significance of the model elements. Additionally, the nature of the MaMoReS presents limitations in driving improved future states of supply chain resilience. It is mainly focused on describing the current state. Consequently, future developments could center on devising guidelines, strategic roadmaps, and system dynamics simulations. This will facilitate the progression between maturity levels, promoting advancement in supply chain resilience practices. When including the prescriptive nature, future studies should also provide insights on how to cope with the challenges of integrating new resilience practices into existing supply chain practices. Furthermore, the feasibility of the MaMoReS is tested on only two case studies. Despite being significantly different, this is not sufficient to generalize the model. Accordingly, in the future, the model can be applied to different case studies across various industries to investigate the generalizability and the amendments required by specific cases. In this context, a cross-sector analysis can be performed to identify relevant differences across different sectors. The extensive analysis related to different sectors may also provide relevant practical implications, such as maturity level. For instance, it could provide a typical maturity level of a given sector based on the company dimension. Another key point is that the MaMoReS is related to general supply chains.