SOCIAL WELFARE THROUGH BLOCKCHAIN-BASED E-VOTING

There is plenty of instances where blockchain was already proven to be a technology to coordinate voting where a decentralized approach can make voting possibly more secure. This work focuses on the design of smart contracts, which lastly coordinate automatically a voting process. The design is crucial, therewith voting purposes can be successfully reached. In this work, game theory and mechanism design are used to design a voting mechanism that maximizes social welfare among the participants for complex and multi-criteria decision-making for common goods. This theoretical contribution is exemplified by considering a city forest the participants can decide over by blockchain voting. An agent-based simulation examines that game-theoretical situation and shows how the different participants’ voting strategies behave

Requirement-driven Taxonomy Development – A Classification of Blockchain Technologies for Securities Post-Trading

In recent years, blockchain and distributed ledger technology (DLT) and its disruptive potential has been one of the most discussed topics in the field of information systems. Driven by the prospect of cost savings and efficiency gains, financial markets are at the core of these discussions. However, in the increasingly convoluted and constantly evolving market of technology providers and platforms, organizations struggle to find a solution that fulfills the specific requirements of their application scenario. To evaluate the suitability of different blockchain-based platforms for securities post-trading, we develop a new methodology to create a technology classification that takes the demands of a specific application context into account. The resulting requirement-based taxonomy sheds light on factors that impede the adoption of blockchain- and DLT-based post-trading, highlights future research challenges, and offers a valuable tool to induce communication between involved stakeholders