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NFTs in Practice

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NFTs in Practice ( nfts-practice )

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Chai assertion library for structural testing, unit tests and functional tests (Truffle, 2019). To ensure the consistency and quality of each public function and all modifiers our prototype contains, we wrote several unit tests. Additionally, we created a series of integration tests to simulate the complete workflow, allowing us to test the formal completeness and functionality of our prototype. In total, we created 33 tests within 289 lines of JavaScript code to ensure that our prototype behaves correctly during state changes. A successful test run with artificial data, simulating the fully automated completion of the entire process as laid out in the previous section, thus serves as proof of construction and shows that our solution works (Nunamaker et al., 1990). Further, the simulation of the realistic test scenario yielded an estimated cost of 5 million gas for the deployment of the system. In addition to running tests and performing simulation, we also used the code linter Solhint and fixed all reported issues (Protofire, 2019). To avoid security holes and potential defects in our code, we searched recent literature covering security issues for smart contracts such as Atzei et al. (2017) and Fröwis et al. (2017) and amended our code where necessary (e.g. setting some public functions to private). To allow other researchers or practitioners to verify our prototype and to enhance it further, we open sourced the entire project. Expert Evaluation Aside from simulation and testing, we relied on additional sources such as relevant literature and expert interviews to make informed arguments (Hevner et al., 2004). To assess our artifact and discuss different scenarios regarding implications for our prototype and NFTs in general, we selected nine experts with different backgrounds based on their previous knowledge of NFTs and event ticketing as shown in Table 4. Id 1 Blockchain consultant specialized in asset tokenization 2 Subject matter expert in mobile ticket applications 3 Deep tech analyst specialized in the blockchain industry 4 Blockchain researcher specializing in token ecosystems 5 IS researcher focused on blockchain-based identity research 6 Behavioral economics researcher with blockchain focus 7 Technical advisor specialized in blockchain prototypes 8 Blockchain programmer specialized in asset tokenization 9 Venture capital fund manager with a focus on blockchain Table 4. Expert Interviews Managing Partner, Consulting firm CEO, Ticketing software company Analyst, Venture capital firm PhD Candidate, University Researcher, Research Institute PhD Candidate, University Senior Consultant, Consulting firm Developer, Blockchain startup MP, Venture capital firm Non-Fungible Tokens as Event Tickets Short Description Current Position We introduced all experts to our research beforehand and followed a semi-structured interview guide (Holstein and Gubrium, 1995). We digitally recorded the interviews and analyzed them afterwards according to scientific standards (Schultze and Avital, 2011). Our interviews consisted of two main parts and typically lasted about 30 minutes. First, we focused on the recommended descriptive evaluation approach of assessing an artifacts efficacy and utility through the creation of illustrative scenarios around it (Hevner et al., 2004; Akoka, Comyn-Wattiau, Prat and Storey, 2017). We discussed the suitability of our prototype regarding our specified design objectives and invited the interview partners to come up with realistic scenarios and explore implications on our prototype. Second, we also asked open questions to allow for an open discussion of the general aspects of NFTs. Exemplary questions were: ● How can the implications NFTs have on the use case discussed be generalized in your opinion? ● What do you see as the main benefits of NFTs? ● In your perspective, what disadvantages does the use of NFTs have? ● What challenges remain and how could they be addressed in the future? Depending on the technical background of the interviewee, we also included analytic questions regarding the perceived fit of our prototype into existing technical IS architecture (Hevner et al., 2004). Fortieth International Conference on Information Systems, Munich 2019 10

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