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Deferral: on the Feasibility of High-Volume Blockchain-based Referral Systems

Boner, Tobias; Rodrigues, Bruno; Bocek, Thomas; Stiller, Burkhard (2023). Deferral: on the Feasibility of High-Volume Blockchain-based Referral Systems. In: 2023 5th Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS), Paris, France, 11 October 2023 - 13 October 2023. Institute of Electrical and Electronics Engineers, 46-49.

Abstract

Digital marketing has transformed referral marketing, revealing limitations in traditional centralized systems such as trust, transparency, and efficiency, however, the potential advantages of decentralized systems remain underexplored. This paper investigates the feasibility of a high-volume, decentralized referral system. The approach assesses smart contract prototypes for cost-effectiveness and performance in high-user engagement scenarios in different EVM-compatible blockchains and referral strategies, such as multilevel referrals. Findings confirm the technical viability as a blueprint for designing and implementing similar systems, highlighting challenges in real-world deployments, such as Sybil attacks, and the interplay between technical and economical design factors.

Additional indexing

Item Type:Conference or Workshop Item (Paper), not_refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Social Sciences & Humanities > Information Systems and Management
Physical Sciences > Safety, Risk, Reliability and Quality
Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Networks and Communications
Physical Sciences > Computer Science Applications
Language:English
Event End Date:13 October 2023
Deposited On:12 Feb 2024 12:00
Last Modified:20 Jun 2024 12:25
Publisher:Institute of Electrical and Electronics Engineers
Series Name:Conference on Blockchain Research & Applications for Innovative Networks and Services (BRAINS)
ISSN:2835-3005
ISBN:979-8-3503-1782-4
OA Status:Green
Publisher DOI:https://doi.org/10.1109/brains59668.2023.10316807
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  • Content: Accepted Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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