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Implementing Industrial Symbiosis Incentives: an Applied Assessment Framework for Risk Mitigation

Published version
Peer-reviewed

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Abstract

jats:titleAbstract</jats:title>jats:pIndustrial 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.</jats:p>

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Keywords

46 Information and Computing Sciences, 4609 Information Systems, 35 Commerce, Management, Tourism and Services, Behavioral and Social Science

Journal Title

Circular Economy and Sustainability

Conference Name

Journal ISSN

2730-597X
2730-5988

Volume Title

2

Publisher

Springer Science and Business Media LLC