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prototypical and apply to many other industries. Current literature suggests that industries with heavy reliance on third parties for trust are a potential target for disruption through blockchain technology (Beck and Müller-Bloch, 2017). Research Method To design, implement and evaluate a blockchain event ticketing system prototype, we follow a DSR approach. DSR, which historically originated from engineering, involves the creation of an artifact which has not existed previously and serves a meaningful human purpose (March and Smith, 1995). Typical characteristics of such research efforts are strong reliance on creativity and trial-and-error search (Hevner et al., 2004). In the DSR context, the creation of a prototype depicts an instantiation of a blockchain-based IT artifact (March and Smith, 1995). Through artifact instantiation, we demonstrate both feasibility of the design process and the designed product and enable researchers to learn about the effect of the artifact on the real world and appropriate use (Hevner et al., 2004). This approach has been taken several times by IS researchers when dealing with new aspects of blockchain technology (Beck et al., 2016; Notheisen et al., 2017; Schweizer et al., 2017). Hevner et al. (2004) list seven guidelines for applying DSR in the IS space: It requires the creation of an innovative artifact that fulfills a specific purpose (1) for a specified problem domain (2). It is crucial to thoroughly evaluate the artifact with respect to providing a solution to the specified problem (3). A clear and verifiable contribution such as solving an unsolved problem or solving a known problem in a more effective or efficient manner is also mandatory (4). It requires rigorous definition, formal representation, coherence, and internal consistency of the artifact (5). Through the creation of the artifact, we construct a problem space along the process and a method to find an effective solution for it (6). Finally, we must communicate the results effectively (7). In Table 1, we map our approach to meet these seven guidelines. Non-Fungible Tokens as Event Tickets Guideline Design as an artifact Problem relevance Design evaluation Research contributions Research rigor Contribution The prototype we build during our research instantiates an NFT-based artifact that allows trust-free creation, management and transactions of event tickets. We address a research gap in scientific literature regarding the question whether NFTs are suited to represent scarce digital assets (such as event tickets) and additionally try to gain insight into the benefits and challenges of the use of NFTs, which are yet to be determined by researchers. Regarding the use case of event tickets, we aim to address the problems of fraud, lack of trust, lack of control over secondary market transactions, low transparency and high dependence on intermediaries. To evaluate the prototype in terms of functionality, formal completeness, consistency, accuracy, reliability and efficiency, we follow the approach of Hevner et al., 2004, who state that the first and foremost aim is to show that (1) the solution works (proof by construction) and (2) characterize the environments in which it works (illustrative scenarios). Our contribution is to demonstrate the usefulness of NFTs in the domain of event tickets in scientific rigor. Through artifact instantiation, we demonstrate both feasibility of the design process and the designed product and enable researchers to learn about the effect of the artifact on the real world and appropriate use (Hevner et al., 2004). Additionally, we aim to lay ground for further research and higher-theory in the area of NFTs and blockchain-based application development (Gregor, 2006; Glaser, 2017). As this table shows, we closely follow the guidelines by Hevner et al., 2004 regarding the DSR process in IS. Additionally, we draw on best practices by other IS researchers that have dealt with similar approaches when evaluating new aspects of blockchain technology (Beck et al., 2016; Notheisen et al., 2017; Schweizer et al., 2017). To determine if our artifact design is complete, we follow a strategy of satisficing, meaning the solution is satisfactory regarding solving the requirements and constraints of the problem we state for the selected use case (Hevner et al., 2004). Fortieth International Conference on Information Systems, Munich 2019 5PDF Image | NFTs in Practice
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