Early identification of potential distributed ledger technology business cases using e3value Models

Geert Poels*, Fadime Kaya, Michaël Verdonck, Jaap Gordijn

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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 e3value modeling can contribute to identifying the potential success of DLT implementation. Using insights from a first DLT case-study, an abstract e3value model fragment is defined that indicates potential success. As a test, the e3value 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 e3value model can provide evidence of meeting the requirements for building a sustainable DLT business case.

Original languageEnglish
Title of host publicationAdvances in Conceptual Modeling
Subtitle of host publicationER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4–7, 2019, Proceedings
EditorsGiancarlo Guizzardi, Frederik Gailly, Rita Suzana Pitangueira Maciel
PublisherSpringer
Pages70-80
Number of pages11
ISBN (Electronic)9783030341466
ISBN (Print)9783030341459
DOIs
Publication statusPublished - 2019
EventWorkshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data, FAIR 2019, 6th Workshop on Conceptual Modeling in Requirements Engineering and Business Analysis, MREBA 2019, 2nd International Workshop on Empirical Methods in Conceptual Modeling, EmpER 2019, 8th International Workshop on Modeling and Management of Big Data, MoBiD19 2019 and 7th International Workshop on Ontologies andConceptual Modelling, OntoCom 2019 held at the 38th International Conference on Conceptual Modeling, ER 2019 - Salvador, Brazil
Duration: 4 Nov 20197 Nov 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11787 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceWorkshop on Conceptual Modeling, Ontologies and Metadata Management for FAIR Data, FAIR 2019, 6th Workshop on Conceptual Modeling in Requirements Engineering and Business Analysis, MREBA 2019, 2nd International Workshop on Empirical Methods in Conceptual Modeling, EmpER 2019, 8th International Workshop on Modeling and Management of Big Data, MoBiD19 2019 and 7th International Workshop on Ontologies andConceptual Modelling, OntoCom 2019 held at the 38th International Conference on Conceptual Modeling, ER 2019
CountryBrazil
CitySalvador
Period4/11/197/11/19

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Keywords

  • Blockchain
  • Business case requirements
  • evalue modeling

Cite this

Poels, G., Kaya, F., Verdonck, M., & Gordijn, J. (2019). Early identification of potential distributed ledger technology business cases using e3value Models. In G. Guizzardi, F. Gailly, & R. Suzana Pitangueira Maciel (Eds.), Advances in Conceptual Modeling: ER 2019 Workshops FAIR, MREBA, EmpER, MoBiD, OntoCom, and ER Doctoral Symposium Papers, Salvador, Brazil, November 4–7, 2019, Proceedings (pp. 70-80). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11787 LNCS). Springer. https://doi.org/10.1007/978-3-030-34146-6_7