Title
Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models.
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.
Year
DOI
Venue
2019
10.1007/978-3-030-34146-6_7
ADVANCES IN CONCEPTUAL MODELING, ER 2019
Keywords
DocType
Volume
Blockchain,e(3)value modeling,Business case requirements
Conference
11787
ISSN
Citations 
PageRank 
0302-9743
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
G. Poels1625.43
Fadime Kaya200.34
Michaël Verdonck3143.72
Jaap Gordijn41187116.92