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Addressing the complexities of transitioning to a sustainable bioeconomy, this paper presents a novel approach for developing regional transformation pathways (RTPs) based on narratives derived from the shared socioeconomic pathways. The methodology emphasizes a comprehensive understanding of underlying perspectives and perceptions, incorporating socio‐economic, environmental, and political dimensions. The developed indicator framework captures a balanced representation of diverse interests by integrating insights from stakeholder analyses. The case study in the Rheinisches Revier region, Germany, exemplifies the approach's applicability, providing valuable insights for decision‐making processes in the context of regional transitions toward a low‐carbon economy. The results consist of five developed RTPs, offering a multitude of potential future trajectories of possible directions for regional transformations. Understanding potential pathways and related consequences is crucial for informed decision‐making concerning resource use optimization since transformations of that scale influence the composition of supply chains and resource networks. This informed approach contributes to strategic planning and helps ensure resources are utilized efficiently and sustainably. By emphasizing the crucial role of transparency and reflection of assumptions in addressing the complexities of societal transformation processes, our approach seeks to support the implementation of a sustainable and inclusive bioeconomy at the regional level. [ABSTRACT FROM AUTHOR]

In sustainable waste supply chains, selecting recycling partners is an important factor in the decision-making process. Waste supply chains have undergone many fundamental modifications because of the rise of concepts such as sustainability, circular economy, and resilience. To overcome the current shortcomings of the literature on recycling partner selection only based on sustainability aspects, an evaluation framework is developed to address recycling partner selection by considering both sustainability and resilience factors. Although developing a sustainable and resilient evaluation framework improves the process of selecting recycling partners, the problem becomes very complex, and multidimensional decision-makers require reliable and accurate tools to make informed decisions. Multi-criteria decision-making (MCDM) methods are useful decision-making tools with high reliability to address problems under uncertainty. Although previous studies have developed several MCDM methods based on various uncertainty sets, the capability to support efficient and accurate group decision-making by decision-makers' opinions and experts' judgments has been a major disadvantage. Therefore, this study develops a novel decision-making approach using Z E -numbers based on the best-worst method (Z E -BWM) and a combined compromise solution (Z E -CoCoSo). The proposed novel approach for addressing a sustainability and resilience management problem in an urban setting is demonstrated in a real-life case study using Tabriz, Iran as a case study. According to the results, net profit and the robustness of the waste supply chain are the most important criteria. • Proposing a sustainable resilient framework for urban waste management systems. • Developing an integrated decision support model for recycling partner selection. • Considering uncertainties related to decision-makers and experts using ZE-numbers. • Presenting novel extensions of BWM and CoCoSo methods using ZE-numbers. • A real-life case study is investigated to show efficiency of the proposed approach. [ABSTRACT FROM AUTHOR]