IDEAS home Printed from https://ideas.repec.org/a/rfb/journl/v14y2022i1p35-43.html
   My bibliography  Save this article

Factors’ Influencing Driving Demand of Cryptocurrency and its Impact on Behavioral Intention: An Indian Perspective

Author

Listed:
  • Jyoti Verma

Abstract

Investors are gearing up to invest their money into wide range of cryptocurrency choices. However, investors are still somewhat hesitant about the adoption of this virtual currency. Therefore, there is a strong need to find out the reasons by identifying the factors that affect the investors’ perceptions towards adoption decisions for investing in cryptocurrencies. New constructs have been identified that will provide value and utility for users of cryptocurrencies. The factors proposed in the model have the greatest influence on the behavioral intention of the investors. Findings highlighted the concerns regarding trust, risk factors, ease of use, and supportive technologies.

Suggested Citation

  • Jyoti Verma, 2022. "Factors’ Influencing Driving Demand of Cryptocurrency and its Impact on Behavioral Intention: An Indian Perspective," The Review of Finance and Banking, Academia de Studii Economice din Bucuresti, Romania / Facultatea de Finante, Asigurari, Banci si Burse de Valori / Catedra de Finante, vol. 14(1), pages 35-43, June.
    • Handle: RePEc:rfb:journl:v:14:y:2022:i:1:p:35-43
    as

    Download full text from publisher

    File URL: http://rfb.ase.ro/articole/Articol3_v14_1.pdf
    File Function: Full text
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bruno Biais & Christophe Bisière & Matthieu Bouvard & Catherine Casamatta, 2019. "The Blockchain Folk Theorem," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1662-1715.
    2. Shahzad, Fakhar & Xiu, GuoYi & Wang, Jian & Shahbaz, Muhammad, 2018. "An empirical investigation on the adoption of cryptocurrencies among the people of mainland China," Technology in Society, Elsevier, vol. 55(C), pages 33-40.
    Full references (including those not matched with items on IDEAS)

    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. Hanna Halaburda & Guillaume Haeringer & Joshua Gans & Neil Gandal, 2022. "The Microeconomics of Cryptocurrencies," Journal of Economic Literature, American Economic Association, vol. 60(3), pages 971-1013, September.
    2. Simplice A. Asongu & Nicholas M. Odhiambo, 2023. "Female unemployment, mobile money innovations and doing business by females," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-26, December.
    3. Lin William Cong & Zhiguo He & Jiasun Li & Wei Jiang, 2021. "Decentralized Mining in Centralized Pools [Concentrating on the fall of the labor share]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1191-1235.
    4. Hautsch, Nikolaus & Scheuch, Christoph & Voigt, Stefan, 2018. "Limits to arbitrage in markets with stochastic settlement latency," CFS Working Paper Series 616, Center for Financial Studies (CFS).
    5. Lin William Cong & Ye Li & Neng Wang, 2021. "Tokenomics: Dynamic Adoption and Valuation [The demand of liquid assets with uncertain lumpy expenditures]," The Review of Financial Studies, Society for Financial Studies, vol. 34(3), pages 1105-1155.
    6. Böyükaslan, Adem & Ecer, Fatih, 2021. "Determination of drivers for investing in cryptocurrencies through a fuzzy full consistency method-Bonferroni (FUCOM-F’B) framework," Technology in Society, Elsevier, vol. 67(C).
    7. Zdenek Smutny & Zdenek Sulc & Jan Lansky, 2021. "Motivations, Barriers and Risk-Taking When Investing in Cryptocurrencies," Mathematics, MDPI, vol. 9(14), pages 1-22, July.
    8. Shahbaz, Muhammad & Gao, Changyuan & Zhai, LiLi & Shahzad, Fakhar & Khan, Imran, 2021. "Environmental air pollution management system: Predicting user adoption behavior of big data analytics," Technology in Society, Elsevier, vol. 64(C).
    9. Yukun Liu & Aleh Tsyvinski, 2018. "Risks and Returns of Cryptocurrency," NBER Working Papers 24877, National Bureau of Economic Research, Inc.
    10. Can, Burak & Leth Hougaard, Jens & Pourpouneh, Mohsen, 2022. "On reward sharing in blockchain mining pools," Games and Economic Behavior, Elsevier, vol. 136(C), pages 274-298.
    11. Mario Arias-Oliva & Jorge de Andrés-Sánchez & Jorge Pelegrín-Borondo, 2021. "Fuzzy Set Qualitative Comparative Analysis of Factors Influencing the Use of Cryptocurrencies in Spanish Households," Mathematics, MDPI, vol. 9(4), pages 1-19, February.
    12. Jonathan Chiu & Thorsten V Koeppl, 2019. "Blockchain-Based Settlement for Asset Trading," The Review of Financial Studies, Society for Financial Studies, vol. 32(5), pages 1716-1753.
    13. Joshua S. Gans & Hanna Halaburda, 2023. ""Zero Cost'' Majority Attacks on Permissionless Blockchains," NBER Working Papers 31473, National Bureau of Economic Research, Inc.
    14. Cong, Lin William & Li, Ye & Wang, Neng, 2022. "Token-based platform finance," Journal of Financial Economics, Elsevier, vol. 144(3), pages 972-991.
    15. He, Zhiguo & Huang, Jing & Zhou, Jidong, 2023. "Open banking: Credit market competition when borrowers own the data," Journal of Financial Economics, Elsevier, vol. 147(2), pages 449-474.
    16. Tao, Zhijie & Peng, Bo & Ma, Lina, 2023. "Optimal initial coin offering under speculative token trading," European Journal of Operational Research, Elsevier, vol. 306(2), pages 632-644.
    17. Michael Sockin & Wei Xiong, 2020. "A Model of Cryptocurrencies," NBER Working Papers 26816, National Bureau of Economic Research, Inc.
    18. Kang, Kee-Youn, 2019. "Cryptocurrency, Delivery Lag, and Double Spending History," MPRA Paper 93598, University Library of Munich, Germany.
    19. Yensen Ni, 2024. "Navigating Energy and Financial Markets: A Review of Technical Analysis Used and Further Investigation from Various Perspectives," Energies, MDPI, vol. 17(12), pages 1-22, June.
    20. Lambrecht, Marco & Sofianos, Andis & Xu, Yilong, 2020. "Does mining fuel bubbles? An experimental study on cryptocurrency markets," Working Papers 0690, University of Heidelberg, Department of Economics.

    More about this item

    Statistics

    Access and download statistics

    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:rfb:journl:v:14:y:2022:i:1:p:35-43. 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: Tatu Lucian (email available below). General contact details of provider: https://edirc.repec.org/data/ffasero.html .

    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.