Software ecosystem health of cryptocurrencies

Matthijs Berkhout; Fons van den Brink; Mart van Zwienen; Paul van Vulpen; Slinger Jansen

doi:10.1007/978-3-030-04840-2_3

Software ecosystem health of cryptocurrencies

Matthijs Berkhout, Fons van den Brink, Mart van Zwienen, Paul van Vulpen, Slinger Jansen^*

^*Corresponding author for this work

Utrecht University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

Abstract

Background: Cryptocurrencies are highly valued without understanding the health of the underlying ecosystems. Previous work shows factors which determinate the exchange rate. However, the technological determinants show decreasing significance. Objective: This paper explores whether the Open-source Software Ecosystem Health Operationalization (OSEHO) framework can be used to extend the given technology factors. Method: By conducting the OSEHO in a case-study on three distinct cryptocurrency ecosystems, this paper gives a better insight in the ecosystem’s value, longevity and propensity for growth and the relation of these factors to the cryptocurrency value. Results: The ‘healthiest’ cryptocurrency ecosystem also shows the highest economic health. Two metrics from the OSEHO show strong positive significant correlation with the exchange rate. Conclusion: Metrics from the OSEHO show promising indications to be technological determinants for the exchange rate. This research can be used as a foundation for further econometric tests or research on other aspects of cryptocurrencies.

Original language	English
Title of host publication	Software Business - 9th International Conference, ICSOB 2018, Proceedings
Editors	Krzysztof Wnuk, Sjaak Brinkkemper
Publisher	Springer
Pages	27-42
Number of pages	16
ISBN (Print)	9783030048396
DOIs	https://doi.org/10.1007/978-3-030-04840-2_3
Publication status	Published - 2018
Event	9th International Conference on Software Business, ICSOB 2018 - Tallinn, Estonia Duration: 11 Jun 2018 → 12 Jun 2018

Publication series

Name	Lecture Notes in Business Information Processing
Volume	336
ISSN (Print)	1865-1348

Conference

Conference	9th International Conference on Software Business, ICSOB 2018
Country/Territory	Estonia
City	Tallinn
Period	11/06/18 → 12/06/18

Bibliographical note

Publisher Copyright:
© 2018, Springer Nature Switzerland AG.

Keywords

Bitcoin
Cryptocurrency
Ecosystem health
Ethereum
Ripple
Software ecosystems

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10.1007/978-3-030-04840-2_3

978-3-030-04840-2_3Final published version, 598 KBLicence: Taverne

Cite this

Berkhout, M., van den Brink, F., van Zwienen, M., van Vulpen, P., & Jansen, S. (2018). Software ecosystem health of cryptocurrencies. In K. Wnuk, & S. Brinkkemper (Eds.), Software Business - 9th International Conference, ICSOB 2018, Proceedings (pp. 27-42). (Lecture Notes in Business Information Processing; Vol. 336). Springer. https://doi.org/10.1007/978-3-030-04840-2_3

@inproceedings{73d2e1aff3ec4c07913dac53f45273cf,

title = "Software ecosystem health of cryptocurrencies",

abstract = "Background: Cryptocurrencies are highly valued without understanding the health of the underlying ecosystems. Previous work shows factors which determinate the exchange rate. However, the technological determinants show decreasing significance. Objective: This paper explores whether the Open-source Software Ecosystem Health Operationalization (OSEHO) framework can be used to extend the given technology factors. Method: By conducting the OSEHO in a case-study on three distinct cryptocurrency ecosystems, this paper gives a better insight in the ecosystem{\textquoteright}s value, longevity and propensity for growth and the relation of these factors to the cryptocurrency value. Results: The {\textquoteleft}healthiest{\textquoteright} cryptocurrency ecosystem also shows the highest economic health. Two metrics from the OSEHO show strong positive significant correlation with the exchange rate. Conclusion: Metrics from the OSEHO show promising indications to be technological determinants for the exchange rate. This research can be used as a foundation for further econometric tests or research on other aspects of cryptocurrencies.",

keywords = "Bitcoin, Cryptocurrency, Ecosystem health, Ethereum, Ripple, Software ecosystems",

author = "Matthijs Berkhout and {van den Brink}, Fons and {van Zwienen}, Mart and {van Vulpen}, Paul and Slinger Jansen",

note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 9th International Conference on Software Business, ICSOB 2018 ; Conference date: 11-06-2018 Through 12-06-2018",

year = "2018",

doi = "10.1007/978-3-030-04840-2_3",

language = "English",

isbn = "9783030048396",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer",

pages = "27--42",

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booktitle = "Software Business - 9th International Conference, ICSOB 2018, Proceedings",

}

Berkhout, M, van den Brink, F, van Zwienen, M, van Vulpen, P & Jansen, S 2018, Software ecosystem health of cryptocurrencies. in K Wnuk & S Brinkkemper (eds), Software Business - 9th International Conference, ICSOB 2018, Proceedings. Lecture Notes in Business Information Processing, vol. 336, Springer, pp. 27-42, 9th International Conference on Software Business, ICSOB 2018, Tallinn, Estonia, 11/06/18. https://doi.org/10.1007/978-3-030-04840-2_3

Software ecosystem health of cryptocurrencies. / Berkhout, Matthijs; van den Brink, Fons; van Zwienen, Mart et al.
Software Business - 9th International Conference, ICSOB 2018, Proceedings. ed. / Krzysztof Wnuk; Sjaak Brinkkemper. Springer, 2018. p. 27-42 (Lecture Notes in Business Information Processing; Vol. 336).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Software ecosystem health of cryptocurrencies

AU - Berkhout, Matthijs

AU - van den Brink, Fons

AU - van Zwienen, Mart

AU - van Vulpen, Paul

AU - Jansen, Slinger

PY - 2018

Y1 - 2018

N2 - Background: Cryptocurrencies are highly valued without understanding the health of the underlying ecosystems. Previous work shows factors which determinate the exchange rate. However, the technological determinants show decreasing significance. Objective: This paper explores whether the Open-source Software Ecosystem Health Operationalization (OSEHO) framework can be used to extend the given technology factors. Method: By conducting the OSEHO in a case-study on three distinct cryptocurrency ecosystems, this paper gives a better insight in the ecosystem’s value, longevity and propensity for growth and the relation of these factors to the cryptocurrency value. Results: The ‘healthiest’ cryptocurrency ecosystem also shows the highest economic health. Two metrics from the OSEHO show strong positive significant correlation with the exchange rate. Conclusion: Metrics from the OSEHO show promising indications to be technological determinants for the exchange rate. This research can be used as a foundation for further econometric tests or research on other aspects of cryptocurrencies.

AB - Background: Cryptocurrencies are highly valued without understanding the health of the underlying ecosystems. Previous work shows factors which determinate the exchange rate. However, the technological determinants show decreasing significance. Objective: This paper explores whether the Open-source Software Ecosystem Health Operationalization (OSEHO) framework can be used to extend the given technology factors. Method: By conducting the OSEHO in a case-study on three distinct cryptocurrency ecosystems, this paper gives a better insight in the ecosystem’s value, longevity and propensity for growth and the relation of these factors to the cryptocurrency value. Results: The ‘healthiest’ cryptocurrency ecosystem also shows the highest economic health. Two metrics from the OSEHO show strong positive significant correlation with the exchange rate. Conclusion: Metrics from the OSEHO show promising indications to be technological determinants for the exchange rate. This research can be used as a foundation for further econometric tests or research on other aspects of cryptocurrencies.

KW - Bitcoin

KW - Cryptocurrency

KW - Ecosystem health

KW - Ethereum

KW - Ripple

KW - Software ecosystems

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A2 - Brinkkemper, Sjaak

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T2 - 9th International Conference on Software Business, ICSOB 2018

Y2 - 11 June 2018 through 12 June 2018

ER -

Software ecosystem health of cryptocurrencies

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