IDEAS home Printed from https://ideas.repec.org/a/eme/jmlcpp/jmlc-10-2018-0063.html
   My bibliography  Save this article

Evaluating cryptocurrency laundering as a complex socio-technical system

Author

Listed:
  • Dennis B. Desmond
  • David Lacey
  • Paul Salmon

Abstract

Purpose - The purpose of this paper is to present the findings from a literature review, which aimed to identify previous studies evaluating cryptolaundering from a systems thinking perspective. The aim of this paper is to first confirm that cryptolaundering systems can indeed be defined as complex socio-technical systems and second to present the findings from a systematic review of the literature to determine the extent to which previous research has adopted a systems thinking perspective. Design/methodology/approach - The study involved a SLR of studies published in the peer-reviewed literature between 2009 and 2018. Rasmussen’s risk management framework (Rasmussen, 1997) was used to evaluate the extent to which a systems thinking perspective had been adopted. Findings - The cryptolaundering process is considered to be a complex socio-technical system. The review demonstrates that no previous studies have defined cryptolaundering as a complex socio-technical system or used systems thinking framework approach to evaluate how criminals, regulatory bodies or law enforcement entities understand processes and assess risk within cryptolaundering systems. It is argued that using such an approach to the cryptolaundering process would likely improve assessing criminal risk analyses of cryptolaundering and assist law enforcement and regulatory bodies with understanding risk management during the laundering of cryptocurrencies. Originality/value - Future assessments of cryptolaundering using socio-technical system analytical processes may afford law enforcement and regulatory bodies the opportunity to improve intervention techniques and identify gaps in regulations and enforcement.

Suggested Citation

  • Dennis B. Desmond & David Lacey & Paul Salmon, 2019. "Evaluating cryptocurrency laundering as a complex socio-technical system," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 22(3), pages 480-497, July.
  • Handle: RePEc:eme:jmlcpp:jmlc-10-2018-0063
    DOI: 10.1108/JMLC-10-2018-0063
    as

    Download full text from publisher

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JMLC-10-2018-0063/full/html?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://www.emerald.com/insight/content/doi/10.1108/JMLC-10-2018-0063/full/pdf?utm_source=repec&utm_medium=feed&utm_campaign=repec
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1108/JMLC-10-2018-0063?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Siddiqi, Hammad, 2014. "The Routes to Chaos in the Bitcoins Market," Risk and Sustainable Management Group Working Papers 164178, University of Queensland, School of Economics.
    2. Yhlas Sovbetov, 2018. "Factors Influencing Cryptocurrency Prices: Evidence from Bitcoin, Ethereum, Dash, Litcoin, and Monero," Journal of Economics and Financial Analysis, Tripal Publishing House, vol. 2(2), pages 1-27.
    3. Perri Reynolds & Angela S.M. Irwin, 2017. "Tracking digital footprints: anonymity within the bitcoin system," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 20(2), pages 172-189, May.
    4. Anita Lavorgna, 2015. "Organised crime goes online: realities and challenges," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 18(2), pages 153-168, May.
    5. Alice Hutchings & Thomas J. Holt, 2017. "The online stolen data market: disruption and intervention approaches," Global Crime, Taylor & Francis Journals, vol. 18(1), pages 11-30, February.
    6. Giorgio Merlonghi, 2010. "Fighting financial crime in the age of electronic money: opportunities and limitations," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 13(3), pages 202-214, July.
    7. Thomas J. Holt, 2013. "Exploring the social organisation and structure of stolen data markets," Global Crime, Taylor & Francis Journals, vol. 14(2-3), pages 155-174, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nasir Sultan & Norazida Mohamed & Mervyn Martin & Hafizah Mohd Latif, 2023. "Virtual currencies and money laundering: existing and prospects for jurisdictions that comprehensively prohibited virtual currencies like Pakistan," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 27(2), pages 395-412, May.
    2. Fabian Maximilian Johannes Teichmann & Marie-Christin Falker, 2020. "Cryptocurrencies and financial crime: solutions from Liechtenstein," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 24(4), pages 775-788, June.
    3. Rina Astini & Kehkashan Ishrat & Yanto Ramli & Tafiprios Tafiprios & Kwong Wing Chong & Ooi Chee Keong, 2023. "Nexus among Crypto Trading, Environmental Degradation, Economic Growth and Energy Usage: Analysis of Top 10 Cryptofriendly Asian Economies," International Journal of Energy Economics and Policy, Econjournals, vol. 13(5), pages 339-347, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fabian Maximilian Johannes Teichmann & Marie-Christin Falker, 2020. "Cryptocurrencies and financial crime: solutions from Liechtenstein," Journal of Money Laundering Control, Emerald Group Publishing Limited, vol. 24(4), pages 775-788, June.
    2. Shubhankar Mohapatra & Nauman Ahmed & Paulo Alencar, 2020. "KryptoOracle: A Real-Time Cryptocurrency Price Prediction Platform Using Twitter Sentiments," Papers 2003.04967, arXiv.org.
    3. Panagiotis Anastasiadis & Stephanos Papadamou, 2022. "The dimension of popularity in the cryptocurrency market," SN Business & Economics, Springer, vol. 2(5), pages 1-15, May.
    4. Aniruddha Dutta & Saket Kumar & Meheli Basu, 2020. "A Gated Recurrent Unit Approach to Bitcoin Price Prediction," JRFM, MDPI, vol. 13(2), pages 1-16, February.
    5. Lin, Min-Bin & Khowaja, Kainat & Chen, Cathy Yi-Hsuan & Härdle, Wolfgang Karl, 2020. "Blockchain mechanism and distributional characteristics of cryptos," IRTG 1792 Discussion Papers 2020-027, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    6. Oh, Jeong Hun, 2018. "The Foreign Exchange Market With the Cryptocurrency and "Kimchi Premium"," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190386, International Telecommunications Society (ITS).
    7. Pedro Bação & António Portugal Duarte & Helder Sebastião & Srdjan Redzepagic, 2018. "Information Transmission Between Cryptocurrencies: Does Bitcoin Rule the Cryptocurrency World?," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 65(2), pages 97-117, June.
    8. Lange, Juliane & Stahl, Florian & Vossen, Gottfried, 2016. "Datenmarktplätze in verschiedenen Forschungsdisziplinen: Eine Übersicht," Arbeitsberichte des Instituts für Wirtschaftsinformatik 138, University of Münster, Department of Information Systems.
    9. A. V. Biju & Aparna Merin Mathew & P. P. Nithi Krishna & M. P. Akhil, 2022. "Is the future of bitcoin safe? A triangulation approach in the reality of BTC market through a sentiments analysis," Digital Finance, Springer, vol. 4(4), pages 275-290, December.
    10. Colon, Francisco & Kim, Chaehyun & Kim, Hana & Kim, Wonjoon, 2021. "The effect of political and economic uncertainty on the cryptocurrency market," Finance Research Letters, Elsevier, vol. 39(C).
    11. Abakah, Emmanuel Joel Aikins & Gil-Alana, Luis Alberiko & Madigu, Godfrey & Romero-Rojo, Fatima, 2020. "Volatility persistence in cryptocurrency markets under structural breaks," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 680-691.
    12. Aiman Hairudin & Imtiaz Mohammad Sifat & Azhar Mohamad & Yusniliyana Yusof, 2022. "Cryptocurrencies: A survey on acceptance, governance and market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4633-4659, October.
    13. Victoria Dobrynskaya & Mikhail Dubrovskiy, 2022. "Cryptocurrencies Meet Equities: Risk Factors And Asset Pricing Relationships," HSE Working papers WP BRP 86/FE/2022, National Research University Higher School of Economics.
    14. Adeyinka Adediran & Bola Babajide & Nataliia Osina, 2023. "Exploring the nexus between price and volume changes in the cryptocurrency market," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 498-512, October.
    15. Apopo, Natalay & Phiri, Andrew, 2019. "On the (in)efficiency of cryptocurrencies: Have they taken daily or weekly random walks?," MPRA Paper 94712, University Library of Munich, Germany.
    16. Abdulrezzak Zekiye & Semih Utku & Fadi Amroush & Oznur Ozkasap, 2023. "AI-Assisted Investigation of On-Chain Parameters: Risky Cryptocurrencies and Price Factors," Papers 2308.08554, arXiv.org.
    17. Ali Ihsan Ozdemir & Ilker Murat Ar & Ismail Erol, 2020. "Assessment of blockchain applications in travel and tourism industry," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(5), pages 1549-1563, December.
    18. Ahmet Faruk Aysan & Asad Ul Islam Khan & Humeyra Topuz, 2021. "Bitcoin and Altcoins Price Dependency: Resilience and Portfolio Allocation in COVID-19 Outbreak," Risks, MDPI, vol. 9(4), pages 1-13, April.
    19. Laura Alessandretti & Abeer ElBahrawy & Luca Maria Aiello & Andrea Baronchelli, 2018. "Anticipating Cryptocurrency Prices Using Machine Learning," Complexity, Hindawi, vol. 2018, pages 1-16, November.
    20. Toan Luu Duc Huynh, 2019. "Spillover Risks on Cryptocurrency Markets: A Look from VAR-SVAR Granger Causality and Student’s-t Copulas," JRFM, MDPI, vol. 12(2), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:jmlcpp:jmlc-10-2018-0063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.