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Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models

Author

Listed:
  • Claire Davison

    (School of Business and Information Systems, Torrens University, Melbourne, VIC 3000, Australia)

  • Peyman Akhavan

    (Department of Industrial Engineering, Qom University of Technology, Qom 1519-37195, Iran)

  • Tony Jan

    (Design and Creative Technology Vertical (Faculty), Torrens University, Ultimo, NSW 2007, Australia)

  • Neda Azizi

    (School of Business and Information Systems, Torrens University, Melbourne, VIC 3000, Australia)

  • Somayeh Fathollahi

    (Department of Industrial Engineering, Qom University of Technology, Qom 1519-37195, Iran)

  • Nastaran Taheri

    (Department of Industrial Engineering, Qom University of Technology, Qom 1519-37195, Iran)

  • Omid Haass

    (School of Property, Construction and Project Management, RMIT University, Melbourne, VIC 3000, Australia)

  • Mukesh Prasad

    (School of Computer Science, University of Technology Sydney, Sydney, NSW 2007, Australia)

Abstract

This study presents an analytic model to support the general public in evaluating digital currency exchange platforms. Advances in technologies have offered profitable opportunities, but the general public has difficulty accessing appropriate information on digital currency exchange platforms to facilitate their investments and trading. This study aims to provide a decision support system using analytic models that will guide the public in deciding the appropriate digital currency exchange platform for trading and investment. The overarching objective is to support the public in embracing the new era of a dependable, trustworthy, and sustainable digital society. Particularly, this study offers an analytics model that compares numerous well-known digital currency exchange platforms based on the opinions of 34 human expert members on six main criteria to identify the most suitable platform. In this study, the analytic hierarchy process approach, which is a multiple-criteria decision-making method, and Expert Choice software were used for decision support. Using pairwise comparisons of exchanges with respect to the criteria in the software, the weight of each exchange was determined, and these weights became the basis for prioritizing the exchange platform. This study provides valuable insight into how an analytics-driven expert system can support the public in selecting their digital currency exchange platform. This work is an integral part of an effort to help disruptive digital technology become widely accepted by the general public.

Suggested Citation

  • Claire Davison & Peyman Akhavan & Tony Jan & Neda Azizi & Somayeh Fathollahi & Nastaran Taheri & Omid Haass & Mukesh Prasad, 2022. "Evaluation of Sustainable Digital Currency Exchange Platforms Using Analytic Models," Sustainability, MDPI, vol. 14(10), pages 1-12, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:10:p:5822-:d:813322
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    References listed on IDEAS

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    1. Evin Özkan & Neda Azizi & Omid Haass, 2021. "Leveraging Smart Contract in Project Procurement through DLT to Gain Sustainable Competitive Advantages," Sustainability, MDPI, vol. 13(23), pages 1-25, December.
    2. Stephen Williamson, 2022. "Central Bank Digital Currency: Welfare and Policy Implications," Journal of Political Economy, University of Chicago Press, vol. 130(11), pages 2829-2861.
    3. Higor Y. D. Sigaki & Matjaz Perc & Haroldo V. Ribeiro, 2019. "Clustering patterns in efficiency and the coming-of-age of the cryptocurrency market," Papers 1901.04967, arXiv.org.
    4. Omid Haass & Neda Azizi, 2019. "Knowledge sharing practice in project-oriented organisations: a practical framework based on project life cycle and project management body of knowledge," International Journal of Project Organisation and Management, Inderscience Enterprises Ltd, vol. 11(2), pages 171-197.
    5. M. S. Krishnan & Venkatram Ramaswamy & Mary C. Meyer & Paul Damien, 1999. "Customer Satisfaction for Financial Services: The Role of Products, Services, and Information Technology," Management Science, INFORMS, vol. 45(9), pages 1194-1209, September.
    6. Sara Siddique & Ali Ahsan & Neda Azizi & Omid Haass, 2022. "Students’ Workplace Readiness: Assessment and Skill-Building for Graduate Employability," Sustainability, MDPI, vol. 14(3), pages 1-15, February.
    7. Neda Azizi & Peyman Akhavan & Maryam Philsoophian & Claire Davison & Omid Haass & Shazi Saremi, 2021. "Exploring the Factors Affecting Sustainable Human Resource Productivity in Railway Lines," Sustainability, MDPI, vol. 14(1), pages 1-16, December.
    8. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    9. Vasu Kalariya & Pushpendra Parmar & Patel Jay & Sudeep Tanwar & Maria Simona Raboaca & Fayez Alqahtani & Amr Tolba & Bogdan-Constantin Neagu, 2022. "Stochastic Neural Networks-Based Algorithmic Trading for the Cryptocurrency Market," Mathematics, MDPI, vol. 10(9), pages 1-15, April.
    10. Corbet, Shaen & Lucey, Brian & Peat, Maurice & Vigne, Samuel, 2018. "Bitcoin Futures—What use are they?," Economics Letters, Elsevier, vol. 172(C), pages 23-27.
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    Cited by:

    1. Fatih Ecer & Tolga Murat & Hasan Dinçer & Serhat Yüksel, 2024. "A fuzzy BWM and MARCOS integrated framework with Heronian function for evaluating cryptocurrency exchanges: a case study of Türkiye," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-29, December.

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