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A Framework for Sustainable and Fair Demand-Supply Matchmaking Through Auctioning
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab.ORCID iD: 0000-0001-5408-0008
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-4549-6751
2025 (English)In: Sustainability, E-ISSN 2071-1050, Vol. 17, no 2, article id 572Article in journal (Refereed) Published
Abstract [en]

Environmental sustainability and fairness in auction systems are becoming increasingly important as systems evolve with the integration of digital technologies. This paper introduces a novel demand-supply matchmaking (DSM) framework designed to improve fairness and sustainability in auction environments, aligning with the principles of the circular economy. The framework addresses key challenges in supply chain management, such as equitable resource distribution and the reduction of environmental footprints. The framework integrates key aspects of environmental impact assessments, fairness assessments, and behavioral analytics. This enables the simulation of bidder behavior and assessment of auction scenarios. Our simulation results demonstrate that the platform can promote sustainable, fair, and informed auction practices. By comparing our approach with existing tools, we highlight the advantages of using the DSM framework to improve sustainability and fairness in digital marketplaces. This work supports the development of platforms that integrate economic efficiency with environmental responsibility and social equity.

Place, publisher, year, edition, pages
Multidisciplinary Digital Publishing Institute (MDPI) , 2025. Vol. 17, no 2, article id 572
Keywords [en]
environmental impact, auction systems, fairness, behavioral analytics, CO2 emissions. sustainable auctioning
National Category
Economics Transport Systems and Logistics Computer Sciences
Research subject
Cyber-Physical Systems; Pervasive Mobile Computing
Identifiers
URN: urn:nbn:se:ltu:diva-111492DOI: 10.3390/su17020572Scopus ID: 2-s2.0-85215793576OAI: oai:DiVA.org:ltu-111492DiVA, id: diva2:1935701
Note

Validerad;2025;Nivå 2;2025-03-12 (u5);

Full text license: CC BY 4.0;

Funder: European Union (101138627);

Available from: 2025-02-07 Created: 2025-02-07 Last updated: 2025-03-12Bibliographically approved

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Fernández, ShaiBodin, UlfSynnes, Kåre
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Citation style
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Output format
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