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.
While the future must be aligned more ecologically, different intensive challenges arise for the society. We exemplify these challenges by the multi objectives of a forest, since it offers renewable resources, conserves biodiversity, acts as a carbon sink, and provides recreational functions in a simultaneous manner. We approach the forest management problem (FMP) by using multi-criteria decision analysis (MCDA) with diverging stakeholder preferences as input and social welfare across participating stakeholders as output. To reach social welfare, we focus on mechanism design to gather truthful stakeholder valuations. Hence, this research in progress presents an instantiation of the participatory MCDA in the context of forestry. The research objective is to examine how distributed ledger technologies (DLT) can help to implement the mechanism and to coordinate the participatory MCDA transparently and securely.
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