A decision model for decentralized autonomous organization platform selection: Three industry case studies

Context Decentralized autonomous organizations are a new form of smart contract-based governance. Decentralized autonomous organization platforms, which support the creation of such organizations, are becoming increasingly popular, such as Aragon and Colony. Selecting the best fitting platform is challenging for organizations, as a significant number of decision criteria, such as popularity, developer availability, governance issues, and consistent documentation of such platforms, should be considered. Additionally, decision-makers at the organizations are not experts in every domain, so they must continuously acquire volatile knowledge regarding such platforms. Objective Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study. We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model. Method This study presents a decision model for the decentralized autonomous organization platform selection problem. The decision model captures knowledge regarding such platforms and concepts systematically. This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production. Results We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers. The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort. Conclusion We observe in the empirical evidence from the case studies that decision-makers can make more rational, efficient, and effective decisions with the decision model. Furthermore, the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations

A Security Risk Data Set for Decentralized Applications

This data set is intended to support researchers, developers, and security professionals in enhancing the security and resilience of DLTs by providing them with valuable information about potential risks and effective mitigation strategies. The data set is continuously updated with new information and emerging threats, ensuring that it remains relevant and up-to-date.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

DAO Platform Selection

Decentralized autonomous organizations as a new form of online governance are collections of smart contracts deployed on blockchain platforms that intercede groups of people. A growing number of Decentralized Autonomous Organization Platforms, such as Aragon and Colony, have been introduced in the market to facilitate the development process of such organizations. Selecting the best fitting platform is challenging for organizations, as a significant number of decision criteria, such as popularity, developer availability, governance issues, and consistent documentation of such platforms, should be considered. Additionally, decision-makers at the organizations are not experts in every domain, so they must continuously acquire volatile knowledge regarding such platforms and keep themselves updated. Accordingly, a decision model is required to analyze the decision criteria using systematic identification and evaluation of potential alternative solutions for organizations.THIS DATASET IS ARCHIVED AT DANS/EASY, BUT NOT ACCESSIBLE HERE. TO VIEW A LIST OF FILES AND ACCESS THE FILES IN THIS DATASET CLICK ON THE DOI-LINK ABOV

A decision model for decentralized autonomous organization platform selection: Three industry case studies

Context: Decentralized autonomous organizations are a new form of smart contract-based governance. Decentralized autonomous organization platforms, which support the creation of such organizations, are becoming increasingly popular, such as Aragon and Colony. Selecting the best fitting platform is challenging for organizations, as a significant number of decision criteria, such as popularity, developer availability, governance issues and consistent documentation of such platforms, should be considered. Additionally, decision-makers at the organizations are not experts in every domain, so they must continuously acquire volatile knowledge regarding such platforms. Objective: Supporting decision-makers in selecting the right decentralized autonomous organization platforms by designing an effective decision model is the main objective of this study. We aim to provide more insight into their selection process and reduce time and effort significantly by designing a decision model. Method: This study presents a decision model for the decentralized autonomous organization platform selection problem. The decision model captures knowledge regarding such platforms and concepts systematically. This model is based on an existing theoretical framework that assists software engineers with a set of multi-criteria decision-making problems in software production. Results: We conducted three industry case studies in the context of three decentralized autonomous organizations to evaluate the effectiveness and efficiency of the decision model in assisting decision-makers. The case study participants declared that the decision model provides significantly more insight into their selection process and reduces time and effort. Conclusion: We observe in the empirical evidence from the case studies that decision-makers can make more rational, efficient, and effective decisions with the decision model. Furthermore, the reusable form of the captured knowledge regarding decentralized autonomous organization platforms can be employed by other researchers in their future investigations