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.
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. Read More
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