iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1007/978-3-030-34146-6_7
Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models | SpringerLink
Skip to main content

Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models

  • Conference paper
  • First Online:
Advances in Conceptual Modeling (ER 2019)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    The idea of a Decentralized Autonomous Organization is attributed to Vitalik Buterin, one of the initiators of the Ethereum project.

  2. 2.

    ARP is a role assumed by suppliers, producers, major consumers as well as electricity traders – in June 13, 2019 there were 87 ARPs providing balancing services to Elia, the Belgian TSO (https://www.elia.be/en/grid-data/lists-and-codes/list-of-arps). The models in this section abstract from the situation where an ARP fails in balancing, in which case the TSO needs to invoke (costly but effective) measures and charges the ARP an imbalance penalty fee.

  3. 3.

    In principle, the microgrid can be virtual and not bound to a geographical area [9]. For our analysis, we assume that a microgrid falls within the perimeter of one DSO. As, for instance, the Flanders region in Belgium had more than 2.8 million households in 2018, with only 2 DSOs, this assumption will hold in almost all cases.

  4. 4.

    Given that the aggregator is a role, which can be played by another party (e.g., a supplier, a large industrial prosumer), it can also be modelled as a value activity of that other party. This doesn’t affect our analysis as value activities need to be profitable or provide utility for the actors performing them.

  5. 5.

    Alternatively, the value model can show a start signal inside the Host P2P market value activity that indicates the need for distribution services.

  6. 6.

    A second market segment is strictly not needed as the focal value object can be passed on to another actor within the same market segment via another value transaction.

References

  1. Ølnes, S., Ubacht, J., Janssen, M.: Blockchain in government: Benefits and implications of distributed ledger technology for information sharing. Gov. Inf. Q. 34(3), 355–364 (2017)

    Article  Google Scholar 

  2. Greenspan, G.: Ending the bitcoin vs blockchain debate (2015). https://www.multichain.com/blog/2015/07/bitcoin-vs-blockchain-debate/

  3. Christidis, K., Devetsikiotis, M.: Blockchains and smart contracts for the internet of things. IEEE Access 4, 2292–2303 (2016)

    Article  Google Scholar 

  4. Trujillo, J.L., Fromhart, S., Srinivas, V.: Evolution of blockchain technology. Insights from the GitHub platform. Deloitte Insights (2017)

    Google Scholar 

  5. Gordijn, J., Wieringa, R.J., Ionita, D., Kaya, F.: Towards a sustainable blockchain use case. Presented at the 13th International Workshop on Value Modelling and Business Ontologies (VMBO 2019). https://vmbo2019.blogs.dsv.su.se/files/2019/02/GordijnEtAl.pdf

  6. Wieringa R.J., Engelsman, W., Gordijn, J., Ionita D.: A business ecosystem architecture modeling framework. Accepted for the 21st IEEE Conference on Business Informatics (CBI 2019). https://research.e3value.com/docs/bibtex/pdf/TEAM%20CBI%202019.pdf

  7. Gordijn, J., Akkermans, H.: Value Webs. Understanding e-Business Innovation. The Value Engineers, Soest (2018)

    Google Scholar 

  8. Poels, G.: Enterprise modelling of digital innovation in strategies, services and processes. Accepted for the BPM 2019 1st Workshop on Value and Quality of Enterprise Modelling (VEnMo 2019)

    Google Scholar 

  9. Degraeve, H., Nys, J.: The potential of peer-to-peer trading and blockchain technology in a decentralized energy network. A value-based analysis. Unpublished Master dissertation, Ghent University (2018). http://www.mis.ugent.be/wp-content/uploads/2019/06/JornNys-FMEBENDA341-746856-1528185345-Degraeve_Nys_2018.pdf

  10. Gordijn, J., Akkermans, H.: Designing and evaluating e-business models. IEEE Intell. Syst. 16(4), 11–17 (2001)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Geert Poels .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Poels, G., Kaya, F., Verdonck, M., Gordijn, J. (2019). Early Identification of Potential Distributed Ledger Technology Business Cases Using e3value Models. In: Guizzardi, G., Gailly, F., Suzana Pitangueira Maciel, R. (eds) Advances in Conceptual Modeling. ER 2019. Lecture Notes in Computer Science(), vol 11787. Springer, Cham. https://doi.org/10.1007/978-3-030-34146-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-34146-6_7

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34145-9

  • Online ISBN: 978-3-030-34146-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics