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A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis

In: From Science to Society

Author

Listed:
  • Guido Capelleveen

    (University of Twente)

  • Chintan Amrit

    (University of Twente)

  • Devrim Murat Yazan

    (University of Twente)

Abstract

Industrial Symbiosis (IS) is an emerging business tool that is used by practitioners to engage cooperation among industries to reuse waste streams. The key to reveal IS opportunities for organizations is both connecting the supply and demand of various industries and providing technical knowledge on the IS implementation. This process is increasingly supported by information systems which act as a facilitator of communication and distributor of knowledge. However, we lack understanding of a describing role of each type of information system within the process of IS identification. IS literature could benefit from a clear overview of (i) the characteristics of these different information systems, (ii) the role of support these systems provide, and (iii) the technologies used to enable such identification. This paper analyzes the current state of literature that addresses information systems that facilitate IS identification and studies these systems using these three pillars. Our study contributes by providing a classification framework of information systems that facilitate industrial symbiosis identification and reveals three research directions to progress IS identification tools, namely (i) software product and service development (ii) data integration, and (iii) adoption of intelligent learning.

Suggested Citation

  • Guido Capelleveen & Chintan Amrit & Devrim Murat Yazan, 2018. "A Literature Survey of Information Systems Facilitating the Identification of Industrial Symbiosis," Progress in IS, in: Benoît Otjacques & Patrik Hitzelberger & Stefan Naumann & Volker Wohlgemuth (ed.), From Science to Society, pages 155-169, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-65687-8_14
    DOI: 10.1007/978-3-319-65687-8_14
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    Citations

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    Cited by:

    1. Fraccascia, Luca, 2020. "Quantifying the direct network effect for online platforms supporting industrial symbiosis: an agent-based simulation study," Ecological Economics, Elsevier, vol. 170(C).
    2. Fraccascia, Luca & Yazan, Devrim Murat & Albino, Vito & Zijm, Henk, 2020. "The role of redundancy in industrial symbiotic business development: A theoretical framework explored by agent-based simulation," International Journal of Production Economics, Elsevier, vol. 221(C).
    3. Luca Fraccascia & Vahid Yazdanpanah & Guido Capelleveen & Devrim Murat Yazan, 2021. "Energy-based industrial symbiosis: a literature review for circular energy transition," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(4), pages 4791-4825, April.
    4. Anna Rohde-Lütje & Volker Wohlgemuth, 2020. "Recurring Patterns and Blueprints of Industrial Symbioses as Structural Units for an IT Tool," Sustainability, MDPI, vol. 12(19), pages 1-21, October.
    5. Devrim Murat Yazan & Vahid Yazdanpanah & Luca Fraccascia, 2020. "Learning strategic cooperative behavior in industrial symbiosis: A game‐theoretic approach integrated with agent‐based simulation," Business Strategy and the Environment, Wiley Blackwell, vol. 29(5), pages 2078-2091, July.
    6. Anna Gatzioura & Miquel Sànchez-Marrè & Karina Gibert, 2019. "A Hybrid Recommender System to Improve Circular Economy in Industrial Symbiotic Networks," Energies, MDPI, vol. 12(18), pages 1-24, September.
    7. Lucyna Łȩkawska-Andrinopoulou & Georgios Tsimiklis & Sarah Leick & Manuel Moreno Nicolás & Angelos Amditis, 2021. "Circular Economy Matchmaking Framework for Future Marketplace Deployment," Sustainability, MDPI, vol. 13(10), pages 1-22, May.
    8. Hélène Cervo & Stéphane Ogé & Amtul Samie Maqbool & Francisco Mendez Alva & Lindsay Lessard & Alexandre Bredimas & Jean-Henry Ferrasse & Greet Van Eetvelde, 2019. "A Case Study of Industrial Symbiosis in the Humber Region Using the EPOS Methodology," Sustainability, MDPI, vol. 11(24), pages 1-32, December.
    9. Amtul Samie Maqbool & Francisco Mendez Alva & Greet Van Eetvelde, 2018. "An Assessment of European Information Technology Tools to Support Industrial Symbiosis," Sustainability, MDPI, vol. 11(1), pages 1-15, December.
    10. Sergio Barile & Clara Bassano & Raffaele D’Amore & Paolo Piciocchi & Marialuisa Saviano & Pietro Vito, 2021. "Insights of Digital Transformation Processes in Industrial Symbiosis from the Viable Systems Approach ( vSa )," Sustainability, MDPI, vol. 13(17), pages 1-14, August.
    11. Chris Davis & Graham Aid, 2022. "Machine learning‐assisted industrial symbiosis: Testing the ability of word vectors to estimate similarity for material substitutions," Journal of Industrial Ecology, Yale University, vol. 26(1), pages 27-43, February.
    12. Miguel A. Artacho-Ramírez & Bélgica Pacheco-Blanco & Víctor A. Cloquell-Ballester & Mónica Vicent & Irina Celades, 2020. "Quick Wins Workshop and Companies Profiling to Analyze Industrial Symbiosis Potential. Valenciaport’s Cluster as Case Study," Sustainability, MDPI, vol. 12(18), pages 1-21, September.
    13. Anna Lütje & Volker Wohlgemuth, 2020. "Tracking Sustainability Targets with Quantitative Indicator Systems for Performance Measurement of Industrial Symbiosis in Industrial Parks," Administrative Sciences, MDPI, vol. 10(1), pages 1-15, January.

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