| Title |
Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models |
| ID_Doc |
34461 |
| Authors |
Poels, G; Kaya, F; Verdonck, M; Gordijn, J |
| Title |
Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models |
| Year |
2019 |
| Published |
|
| Abstract |
Many Distributed Ledger Technology (DLT) projects end prematurely without reaping benefits. Previous research has indicated a lack of sustainable business cases for many Blockchain projects. A successful project has a disruptive impact on the business ecosystem. The paper investigates how e(3)value modeling can contribute to identifying the potential success of DLT implementation. Using insights from a first DLT case-study, an abstract e(3)value model fragment is defined that indicates potential success. As a test, the e(3)value model fragment is subsequently applied to a second case-study that is currently being implemented as a DLT-based platform. The paper concludes by reflecting on how an e(3)value model can provide evidence of meeting the requirements for building a sustainable DLT business case. |
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