An organisation's sustainability performance is influenced by its capabilities (skills, resources and competences) which in turn affects the performance of its entire supply chain. However, recent research has not sufficiently explored the convergence of dynamic capabilities, circular economy, resilience and Industry 4.0 concepts for manufacturing supply chains. Therefore, this study aims to identify how dynamic capabilities theory can enable circular and resilient supply chains. A qualitative research process was deployed in three stages: literature review, European project and nine expert interviews. Key investigative variables were used to identify capabilities used in manufacturing, and five research propositions were developed to address the gaps found in literature. The empirical data helped reveal challenges to circular economy implementation and validate the literature findings. The main contributions include a dynamic capabilities model, a causal relationship model and five research propositions for circular economy implementation.

Industrial Symbiosis (IS) around the world in the last 20 years had been characterized through an extensive analysis of scientific papers on the IS emerging process, with a special focus on its early stages. The literature suggests that in this process there are key factors (enablers, barriers, triggers, and challenges) that play a critical role in Industrial Symbiosis. From those factors, the enablers and barriers have been highlighted in most of the studies in their different dimensions (social, economic, policy, technological, management, or geographical, amongst others). Several implementation cases suggest that the relevance of these factors rely on the dominant economic sectors involved. This study aims to reveal the key enablers and barriers in various economic sectors and its behaviour according to each one. To accomplish this objective, a comprehensive assessment methodology was designed and performed. This methodology is divided in two sequential phases: the first, sectoral analysis, focuses on the identification of the more relevant dimensions per economic sectors; in the second phase, incidence analysis, the individual behaviour of the enablers and barriers per economic sector are identified. This new approach correlates the economic sectors and factors incidence in order to provide new insights on the key barriers, and enablers on different dimensions. The main result of this study consists in the identification of a set of recommendations that might be critical to reinforce the emerging synergies process and to help overcome the barriers in each economic sector analysed.

The meat industry generates a large amount of animal by-products not only derived from the slaughter process but also due to the losses and waste of meat products along the supply chain, contributing to the world’s food loss and waste problem. Yearly, 1.7 Mt of meat in the European retail sector and 20% of meat for consumption is wasted in this sector of the supply chain. Therefore, the aim of this paper was to find and evaluate alternatives for the valorisation of agri-food residues, more specifically the meat waste from the food retail sector, through a technological perspective. Thus, we delve into the industrial processes already implemented and the emerging procedures that use muscle, bones and fats by-products from poultry, cattle and pork as the main raw materials in order to identify and characterise them. The results indicate that in addition to the current destinations—landfill, incineration and the rendering process—these animal by-products can be incorporated in the production of biodiesel, food formulations, pharmaceuticals, fertilisers and biogas through an industrial symbiosis approach. Consequently, the several valorisation processes and procedures identified not only suggest an increase in concern about the impacts of the disposal of these materials, but also highlight the potential associated with the use of animal by-products as raw material to obtain added-value products.

Industrial symbiosis (IS) is a business model that proposes symbiotic exchanges, allowing the flow of resources, wastes, and utilities between companies. In recent years, IS initiatives have been exponentially growing around the world. This can be attributed to the increasing awareness on the possibility of obtaining economic, environmental, and social benefits through the implementation of this model. Despite the exponential growth of IS initiatives, the companies are still facing problems in the achievement of reliable and permanent synergies. Over the years the literature has identified several factors in the IS emerging process. Incentives are among these factors, being defined as unlocking tools or mechanisms related to diverse dimensions such as economic, political, social, intermediaries, process, and technology. Authors believe that the large-scale implementation of IS incentives has not been properly addressed. In order to promote facilitated IS implementation and achieve a replicator effect, incentives should be fully addressed. In many case studies, it has been observed that the incentives for IS can be threatened by risks, compromising the implementation, and hindering the emerging process. This study developed a dedicated framework that is composed of incentive identification from best practices of IS and expert consultation; a risk assessment model based on risk factors identification and clustering; and finally, the mitigation actions based on the assessment outputs. The main result of this study is one set of mitigations actions that correlate the implementation levels (clusters) and the potential stakeholders involved.

A successful and broad implementation of industrial symbiosis (IS) initiatives is highly related to stakeholder’s involvement and technical considerations on its process’ development. This paper presents a mixed research study (quantitative and qualitative) focusing on the development of a dedicated tool based on sequential modules’ that support companies in the assessment of their potential to develop and implement IS scenarios. The first module considers the identification and characterization of the economic activity of the company to support an IS contextualization analysis. The second module provides the evaluation of the company’s current state, allowing key intervention areas to be defined. The third module focuses on the assessment of the potential scenarios for synergies implementation based on an economic benefit comparison of different valorization scenarios regarding the available surplus or waste. Complementarily, a SWOT analysis for the identification of the internal strengths and weaknesses, the external opportunities and threats associated with the IS process implementation is presented. The final output compiles qualitative and quantitative results regarding each module. The presented tool is currently under validation at industrial case studies. The preliminary results show the high applicability of the proposed tool in order to support decision making processes on surpluses valorization scenarios selection.