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Exploring the Next Wave of Blockchain and Distributed Ledger Technology: The Overlooked Potential of Scenario Analysis

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  • Horst Treiblmaier

    (Department of International Management, Modul University Vienna, 1190 Vienna, Austria)

Abstract

Blockchain is predicted to disrupt industries, economies, and societies. The properties of distributed ledgers allow the creation of immutable data structures that facilitate shared access in real time and enable a plethora of innovative applications. However, blockchain is not a uniform technology but rather a bundle of evolving components whose implications are notoriously hard to predict. At present, it is not clear how current trends will evolve, with technical evolution, legislation, and public policy being three contingency factors that make ongoing disruptive transformations particularly hard to predict. In light of blockchain’s potential disruptive impact, it is surprising that scenario analysis has hitherto been largely ignored in academic research. Therefore, in this paper, we introduce the technique, clarify several misconceptions, and provide examples illustrating how this method can help to overcome the limitations of existing technology impact research. We conclude that if applied correctly, scenario analysis represents the ideal tool to rigorously explore uncertain future developments and to create a comprehensive foundation for future research.

Suggested Citation

  • Horst Treiblmaier, 2021. "Exploring the Next Wave of Blockchain and Distributed Ledger Technology: The Overlooked Potential of Scenario Analysis," Future Internet, MDPI, vol. 13(7), pages 1-13, July.
  • Handle: RePEc:gam:jftint:v:13:y:2021:i:7:p:183-:d:597288
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    References listed on IDEAS

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    1. Niu, Baozhuang & Mu, Zihao & Cao, Bin & Gao, Jie, 2021. "Should multinational firms implement blockchain to provide quality verification?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    2. J. Scott Armstrong & Kesten C. Green, 2018. "Forecasting methods and principles: Evidence-based checklists," Journal of Global Scholars of Marketing Science, Taylor & Francis Journals, vol. 28(2), pages 103-159, April.
    3. Treiblmaier, Horst, 2021. "The token economy as a key driver for tourism: Entering the next phase of blockchain research," Annals of Tourism Research, Elsevier, vol. 91(C).
    4. Abderahman Rejeb & John G. Keogh & Horst Treiblmaier, 2019. "Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management," Future Internet, MDPI, vol. 11(7), pages 1-22, July.
    5. Bertrand K. Hassani, 2016. "Scenario Analysis in Risk Management," Springer Books, Springer, number 978-3-319-25056-4, December.
    6. Robyn Owen & Marcus O'Dair, 2020. "How blockchain technology can monetize new music ventures: an examination of new business models," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 21(4), pages 333-353, July.
    7. Fotios Petropoulos & Spyros Makridakis, 2020. "Forecasting the novel coronavirus COVID-19," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-8, March.
    8. Gioele Bigini & Valerio Freschi & Emanuele Lattanzi, 2020. "A Review on Blockchain for the Internet of Medical Things: Definitions, Challenges, Applications, and Vision," Future Internet, MDPI, vol. 12(12), pages 1-16, November.
    9. Valentina Gatteschi & Fabrizio Lamberti & Claudio Demartini & Chiara Pranteda & Víctor Santamaría, 2018. "Blockchain and Smart Contracts for Insurance: Is the Technology Mature Enough?," Future Internet, MDPI, vol. 10(2), pages 1-16, February.
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    Cited by:

    1. Horst Treiblmaier, 2022. "What Is Coming across the Horizon and How Can We Handle It? Bitcoin Scenarios as a Starting Point for Rigorous and Relevant Research," Future Internet, MDPI, vol. 14(6), pages 1-15, May.
    2. Flavio Pinto & Yogachandran Rahulamathavan & James Skinner, 2022. "Blockchain for Doping Control Applications in Sports: A Conceptual Approach," Future Internet, MDPI, vol. 14(7), pages 1-24, July.

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