The notion of the circular economy (CE) has recently been put forth as a strategy to mitigate climate change. It has gained attention in policy circles and in the engineering and natural science literature. In contrast to the linear model of production, use and disposal, the point of departure for the CE is the creation and sustention of a regenerative system with the goal of minimising resource inputs and emissions. However, although the emerging literature has discussed the ongoing transition process towards the CE, mainly from an ecological perspective, the underlying mechanisms of industrial change including structural tensions have not been discussed. Responding to this gap in the literature, the aim of this paper is to discuss CE as an evolutionary process and to propose a conceptual framework that builds on a development block approach.

Purpose: This study aims to investigate the influence of supply chain (SC) complexity on the effectiveness of resilience capabilities in mitigating SC disruptions. Hypotheses about direct and moderating influences of complexity on resilience capabilities and performance change after disruption are built and quantitatively tested.Design/methodology/approach: Partial least square-based structural equation modelling with formative constructs was used as an overall approach. Secondary data on SC disruptions, related performance change and resilience practices were collected from multiple sources through a predefined procedure. The collected data were systematically encoded prior to performing statistical analysis.Findings: SC structural complexity is found to have a significant positive relation with performance improvement after disruption, along with resilience capability; it also positively moderates the resilience–performance link.Research limitations/implications: The SC complexity factors the authors considered in this study do not include dynamic forms because of the nature of data collected. Future research may attempt to include and test whether the results of this study also hold when additional complexity parameters are taken into account.Practical implications: Managers are often trying to reduce SC complexity. This study implies that some level of complexity is beneficial also for a better recovery of operational performance affected because of disruption. Resilience capabilities become more effective when leveraged on complexity in the SC.Originality/value: This is the first study to empirically investigate the influence of SC complexity on the resilience–performance link.

Satellite-borne Synthetic Aperture Radar (SAR) technology has revolutionized remote sensing applications by providing high-resolution and all-weather imaging capabilities. With the increasing availability of SAR data, the need for efficient data processing has become crucial. On-board processing has emerged as a promising solution to address the challenges associated with limited downlink capacity and final data products latency. Performing data processing and compression directly on the airborne platform reduces the raw data transmitted to ground stations, which offers several key benefits. Firstly, it significantly reduces the data volume to be downlinked, optimizing the usage of limited bandwidth and minimizing transmission delays. Secondly, on-board processing enables faster access to processed data products, allowing for quicker decision-making and timely response to dynamic events, enhancing the real-time capabilities of the system that are particularly valuable in time-critical applications. This article discusses various on-board processing techniques employed in SAR systems and explores their challenges, like computational constraints, architectural impacts, power consumption, and algorithm optimization. Furthermore, it examines the potential future developments in on-board processing, such as the integration of artificial intelligence and machine learning techniques to enhance data analysis and decision-making capabilities. The advancements in on-board processing have the potential to revolutionize the way SAR missions are conducted. By leveraging these techniques, SAR systems can achieve improved operational efficiency, reduced data latency, and enhanced real-time capabilities. This article emphasizes the significance of on-board processing in meeting the growing demands of SAR applications and underscores its role in advancing remote sensing capabilities for various sectors, including environmental monitoring, disaster response, and surveillance.