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A psychological approach to Bitcoin usage behavior in the era of COVID-19: Focusing on the role of attitudes toward money

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  • Kim, Minseong

Abstract

During and after the COVID-19 pandemic, consumers are more likely to adapt and use Bitcoin for their daily transactions. Responding to this trend, this study examines the antecedents (i.e., perceived behavioral control, subjective norm, and financial self-efficacy) and consequence (i.e., behavioral intention to use Bitcoin) of general consumers’ attitudes toward money (i.e., power-prestige, retention-time, distrust, quality, and anxiety) based on the theory of planned behavior. This study employed three waves of data collection from general consumers in the United States who were interested in Bitcoin. The findings revealed that perceived behavioral control had significant influences on power-prestige, retention-time, distrust, quality, and anxiety. The results also indicated that subjective norm had a significant impact on retention-time, distrust, and anxiety. The outcomes addressed that financial self-efficacy significantly affected power-prestige, retention-time, distrust, quality, and anxiety. Lastly, the results found that behavioral intention to use Bitcoin was significantly influenced by power-prestige, retention-time, and distrust. Based on the empirical findings, this research proposes theoretical and practical implications for the cryptocurrency context.

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  • 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).
    • Handle: RePEc:eee:joreco:v:62:y:2021:i:c:s0969698921001727
    DOI: 10.1016/j.jretconser.2021.102606
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    References listed on IDEAS

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    1. Conlon, Thomas & McGee, Richard, 2020. "Safe haven or risky hazard? Bitcoin during the Covid-19 bear market," Finance Research Letters, Elsevier, vol. 35(C).
    2. Mnif, Emna & Jarboui, Anis & Mouakhar, Khaireddine, 2020. "How the cryptocurrency market has performed during COVID 19? A multifractal analysis," Finance Research Letters, Elsevier, vol. 36(C).
    3. Jareño, Francisco & González, María de la O & Tolentino, Marta & Sierra, Karen, 2020. "Bitcoin and gold price returns: A quantile regression and NARDL analysis," Resources Policy, Elsevier, vol. 67(C).
    4. Dominik Stroukal, 2018. "Can Bitcoin Become Money? Its Money Functions And The Regression Theorem," International Journal of Business and Management, International Institute of Social and Economic Sciences, vol. 6(1), pages 36-53, May.
    5. Farrell, Lisa & Fry, Tim R.L. & Risse, Leonora, 2016. "The significance of financial self-efficacy in explaining women’s personal finance behaviour," Journal of Economic Psychology, Elsevier, vol. 54(C), pages 85-99.
    6. Albayati, Hayder & Kim, Suk Kyoung & Rho, Jae Jeung, 2020. "Accepting financial transactions using blockchain technology and cryptocurrency: A customer perspective approach," Technology in Society, Elsevier, vol. 62(C).
    7. De Cannière, Marie Hélène & De Pelsmacker, Patrick & Geuens, Maggie, 2009. "Relationship Quality and the Theory of Planned Behavior models of behavioral intentions and purchase behavior," Journal of Business Research, Elsevier, vol. 62(1), pages 82-92, January.
    8. Londono, Juan Carlos & Davies, Keri & Elms, Jonathan, 2017. "Extending the Theory of Planned Behavior to examine the role of anticipated negative emotions on channel intention: The case of an embarrassing product," Journal of Retailing and Consumer Services, Elsevier, vol. 36(C), pages 8-20.
    9. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    10. Shanyong Wang & Jin Fan & Dingtao Zhao & Shu Yang & Yuanguang Fu, 2016. "Predicting consumers’ intention to adopt hybrid electric vehicles: using an extended version of the theory of planned behavior model," Transportation, Springer, vol. 43(1), pages 123-143, January.
    11. Robert Mittelman & José Rojas-Méndez, 2018. "Why Canadians give to charity: an extended theory of planned behaviour model," International Review on Public and Nonprofit Marketing, Springer;International Association of Public and Non-Profit Marketing, vol. 15(2), pages 189-204, June.
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    1. Kyohei Shibano & Gento Mogi, 2022. "An analysis of the acquisition of a monetary function by cryptocurrency using a multi-agent simulation model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-30, December.
    2. İbrahim Aydın & Zübeyir Çelik & Kaan Yiğenoğlu & Ayhan Cesur, 2024. "Consumers' foresight for the digital Turkish lira: an empirical study," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 29(2), pages 214-228, June.
    3. Tianyang Huang, 2023. "Using SOR framework to explore the driving factors of older adults smartphone use behavior," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    4. 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.
    5. Cascavilla, Alessandro, 2024. "Between money and speculative asset: The role of financial literacy on the perception towards Bitcoin in Italy," Journal of Economic Psychology, Elsevier, vol. 102(C).
    6. Wu, Jiaqi & Liu, Xin & Zhang, Chenghu, 2024. "Unveiling the influencing mechanism underlying users’ adoption and recommend intentions of central bank digital currency: A behavioral reasoning theory perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
    7. 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).
    8. Lavan, Thusyanthy & Martin, Brett A.S. & Lim, Weng Marc & Hollebeek, Linda D., 2024. "Social isolation and risk-taking behavior: The case of COVID-19 and cryptocurrency," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).

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