Cracking the code: simplifying blockchain selection for DApp deployment

Acquila Natale, Emiliano ORCID: https://orcid.org/0000-0003-2164-8386, Hernández García, Ángel ORCID: https://orcid.org/0000-0002-6549-9549, Jarabo Valdivieso, Pablo and Chaparro Peláez, José Julián ORCID: https://orcid.org/0000-0002-0920-4005 (2025). Cracking the code: simplifying blockchain selection for DApp deployment. "Dirección y Organización", v. 86 ; pp. 52-64. ISSN 1132-175X. https://doi.org/10.37610/86.699.

Descripción

Título: Cracking the code: simplifying blockchain selection for DApp deployment
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Dirección y Organización
Fecha: 1 Julio 2025
ISSN: 1132-175X
Volumen: 86
Materias:
ODS:
Palabras Clave Informales: Channel preference; perceived value; multichannel; omnichannel; retailing; clothing and apparel
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Ingeniería de Organización, Administración de Empresas y Estadística
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

This study proposes a simplified method to select the most appropriate blockchain platform for deploying decentralized applications (DApps), using a multi-criteria decision analysis approach that considers both technical and business-related criteria. To explore its effectiveness, the study includes two practical scenarios where developers with different profiles assessed the relevance of various selection criteria based on the specific needs of their DApps. The study compares the results of this method with those achieved using traditional approaches such as SAW, SMARTER, and AHP, in both hierarchical and non-hierarchical forms. The findings suggest that the proposed approach offers reliable guidance while reducing the complexity of the decision-making process. Across both scenarios, security and platform maturity consistently ranked as the most important decision criteria. Other aspects, such as transaction speed, interoperability, and market penetration, also proved relevant depending on the application context. In contrast, attributes like energy consumption and data volume played a smaller role in the decision-making process.

Más información

ID de Registro: 92885
Identificador DC: https://oa.upm.es/92885/
Identificador OAI: oai:oa.upm.es:92885
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/10382526
Identificador DOI: 10.37610/86.699
URL Oficial: https://revistadyo.es/DyO/index.php/dyo/article/vi...
Depositado por: iMarina Portal Científico
Depositado el: 15 Ene 2026 12:29
Ultima Modificación: 15 Ene 2026 12:29