IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v14y2024i2p21582440241253542.html
   My bibliography  Save this article

Testing Integrative Models of the Change Behavior in the Intention to Adopt Cryptocurrency

Author

Listed:
  • Mark P. Doblas
  • Jishanis Mae G. Becaro
  • Jayendira P. Sankar
  • Vinodh K. Natarajan
  • Yoganandham G.
  • Arumugasamy G.

Abstract

This study explores the adoption of cryptocurrency, specifically Bitcoin, in the Philippines. The authors argue that current behavioral prediction models, such as TRA, TPB, and TAM, do not adequately account for the affective constructs of decision-making when high monetary stakes are involved. To address this gap, the authors propose an integrative model that accounts for financial decision-making processes, risk constructs, and population-specific behavioral strategies. The study used a quantitative-based research design and involved 684 university students from one of the major state universities in the Philippines. The findings show that perceived usefulness, attitude toward cryptocurrency, self-efficacy, and descriptive norms significantly influenced the intention to adopt cryptocurrency. Overall, the study confirms the direct influence of instrumental attitude, knowledge of cryptocurrency, descriptive norm, risk tolerance, ease and difficulty, and control on an individual’s intention to use cryptocurrency. The study contributes to exploring a less studied Philippine consumer base and provides empirical findings and insights into Bitcoin adoption in developing Asian economies. JEL Classification: G15. G17, G41, P33, G32.

Suggested Citation

  • Mark P. Doblas & Jishanis Mae G. Becaro & Jayendira P. Sankar & Vinodh K. Natarajan & Yoganandham G. & Arumugasamy G., 2024. "Testing Integrative Models of the Change Behavior in the Intention to Adopt Cryptocurrency," SAGE Open, , vol. 14(2), pages 21582440241, May.
  • Handle: RePEc:sae:sagope:v:14:y:2024:i:2:p:21582440241253542
    DOI: 10.1177/21582440241253542
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440241253542
    Download Restriction: no

    File URL: https://libkey.io/10.1177/21582440241253542?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
    ---><---

    References listed on IDEAS

    as
    1. Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019. "Media attention and Bitcoin prices," Finance Research Letters, Elsevier, vol. 30(C), pages 37-43.
    2. You-Kyung Lee, 2021. "Impacts of Digital Technostress and Digital Technology Self-Efficacy on Fintech Usage Intention of Chinese Gen Z Consumers," Sustainability, MDPI, vol. 13(9), pages 1-15, April.
    3. 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.
    4. Lucey, Brian M. & Vigne, Samuel A. & Yarovaya, Larisa & Wang, Yizhi, 2022. "The cryptocurrency uncertainty index," Finance Research Letters, Elsevier, vol. 45(C).
    5. Muhammad Athar Nadeem & Zhiying Liu & Abdul Hameed Pitafi & Amna Younis & Yi Xu, 2021. "Investigating the Adoption Factors of Cryptocurrencies—A Case of Bitcoin: Empirical Evidence From China," SAGE Open, , vol. 11(1), pages 21582440219, March.
    6. Oscar A. Stolper & Andreas Walter, 2017. "Financial literacy, financial advice, and financial behavior," Journal of Business Economics, Springer, vol. 87(5), pages 581-643, July.
    7. 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.
    8. Ikram Ullah Khan & Zahid Hameed & Safeer Ullah Khan, 2017. "Understanding Online Banking Adoption in a Developing Country: UTAUT2 with Cultural Moderators," Journal of Global Information Management (JGIM), IGI Global, vol. 25(1), pages 43-65, January.
    9. Ghazanfar Ali Abbasi & Lee Yin Tiew & Jinquan Tang & Yen-Nee Goh & Ramayah Thurasamy, 2021. "The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-26, March.
    10. Kim, Minseong, 2021. "A psychological approach to Bitcoin usage behavior in the era of COVID-19: Focusing on the role of attitudes toward money," Journal of Retailing and Consumer Services, Elsevier, vol. 62(C).
    11. Yukun Liu & Aleh Tsyvinski & Xi Wu, 2022. "Common Risk Factors in Cryptocurrency," Journal of Finance, American Finance Association, vol. 77(2), pages 1133-1177, April.
    12. Eloy Gil-Cordero & Juan Pedro Cabrera-Sánchez & Manuel Jesús Arrás-Cortés, 2020. "Cryptocurrencies as a Financial Tool: Acceptance Factors," Mathematics, MDPI, vol. 8(11), pages 1-16, November.
    13. Sobhanifard, Yaser & Sadatfarizani, Seyedjavad, 2019. "Consumer-based modeling and ranking of the consumption factors of cryptocurrencies," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 528(C).
    14. Weilun Huang, 2019. "The impact on people’s holding intention of bitcoin by their perceived risk and value," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 32(1), pages 3570-3585, January.
    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. Bommer, William H. & Milevoj, Emil & Rana, Shailesh, 2023. "The intention to use cryptocurrency: A meta-analysis of what we know," Emerging Markets Review, Elsevier, vol. 55(C).
    2. Jorge Andrés-Sánchez & Laura González-Vila Puchades & Mario Arias-Oliva, 2023. "Factors influencing policyholders' acceptance of life settlements: a technology acceptance model," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 48(4), pages 941-967, October.
    3. Dunbar, Kwamie & Owusu-Amoako, Johnson, 2023. "Predictability of crypto returns: The impact of trading behavior," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
    4. Aslanidis, Nektarios & Bariviera, Aurelio F. & Savva, Christos S., 2024. "Do online attention and sentiment affect cryptocurrencies’ correlations?," Research in International Business and Finance, Elsevier, vol. 71(C).
    5. Moser, Stefanie & Brauneis, Alexander, 2023. "Should you listen to crypto YouTubers?," Finance Research Letters, Elsevier, vol. 54(C).
    6. Dobrynskaya, Victoria, 2024. "Is downside risk priced in cryptocurrency market?," International Review of Financial Analysis, Elsevier, vol. 91(C).
    7. Nagl, Maximilian, 2024. "Intricacy of cryptocurrency returns," Economics Letters, Elsevier, vol. 239(C).
    8. Youssef El-Khatib & Abdulnasser Hatemi-J, 2023. "On a regime switching illiquid high volatile prediction model for cryptocurrencies," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 51(2), pages 485-498, July.
    9. Emon Kalyan Chowdhury & Mohammad Nayeem Abdullah, 2024. "Gauging Demand for Cryptocurrency over the Economic Policy Uncertainty and Stock Market Volatility," Computational Economics, Springer;Society for Computational Economics, vol. 64(1), pages 37-55, July.
    10. Xia, Yufei & Sang, Chong & He, Lingyun & Wang, Ziyao, 2023. "The role of uncertainty index in forecasting volatility of Bitcoin: Fresh evidence from GARCH-MIDAS approach," Finance Research Letters, Elsevier, vol. 52(C).
    11. Peng, Sanshao & Shams, Syed & Prentice, Catherine & Sarker, Tapan, 2024. "Consumer confidence and cryptocurrency excess returns: A three-factor model," Global Finance Journal, Elsevier, vol. 62(C).
    12. Eugene Bland & Chuleeporn Changchit & Robert Cutshall & Long Pham, 2024. "Behavioral and Psychological Determinants of Cryptocurrency Investment: Expanding UTAUT with Perceived Enjoyment and Risk Factors," JRFM, MDPI, vol. 17(10), pages 1-22, October.
    13. Al-Omoush, Khaled Saleh & Gomez-Olmedo, Ana M. & Funes, Andrés Gómez, 2024. "Why do people choose to continue using cryptocurrencies?," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    14. Chong Li & Yingqi Li, 2023. "Factors Influencing Public Risk Perception of Emerging Technologies: A Meta-Analysis," Sustainability, MDPI, vol. 15(5), pages 1-37, February.
    15. Jin, Feng & Li, Jingwei & Xue, Yi, 2023. "Preferring stablecoin over dollar: Evidence from a survey of Ethereum platform traders," Journal of International Money and Finance, Elsevier, vol. 131(C).
    16. Gustavo Iamin, 2024. "Are crypto-investors overconfident? The role of risk propensity and demographics. Evidence from Brazil and Portugal," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 26(1), pages 147-173, November.
    17. Yousaf, Imran & Abrar, Afsheen & Yousaf, Umair Bin & Goodell, John W., 2024. "Environmental attention and uncertainties of cryptocurrency market: Examining linkages with crypto-mining stocks," Finance Research Letters, Elsevier, vol. 59(C).
    18. Kong, Xiaolin & Ma, Chaoqun & Ren, Yi-Shuai & Baltas, Konstantinos & Narayan, Seema, 2024. "A comparative analysis of the price explosiveness in Bitcoin and forked coins," Finance Research Letters, Elsevier, vol. 61(C).
    19. Chunling Li & Nosherwan Khaliq & Leslie Chinove & Usama Khaliq & József Popp & Judit Oláh, 2023. "Cryptocurrency Acceptance Model to Analyze Consumers’ Usage Intention: Evidence From Pakistan," SAGE Open, , vol. 13(1), pages 21582440231, March.
    20. Fieberg, Christian & Liedtke, Gerrit & Zaremba, Adam, 2024. "Cryptocurrency anomalies and economic constraints," International Review of Financial Analysis, Elsevier, vol. 94(C).

    More about this item

    Keywords

    cryptocurrency; integrative models of change behavior; structural equation modeling;
    All these keywords.

    JEL classification:

    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets
    • P33 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - International Trade, Finance, Investment, Relations, and Aid
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:sae:sagope:v:14:y:2024:i:2:p:21582440241253542. 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: SAGE Publications (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.