IDEAS home Printed from https://ideas.repec.org/a/sae/sagope/v13y2023i1p21582440231160439.html
   My bibliography  Save this article

Assessing Determinants of Continuance Intention Toward Cryptocurrency Usage: Extending Expectation Confirmation Model With Technology Readiness

Author

Listed:
  • Taqwa Hariguna
  • Athapol Ruangkanjanases
  • Bakri Bin Madon
  • Khaled Mofawiz Alfawaz

Abstract

The paradigm of currency has shifted today in which the transformation from conventional currency to digitalization is getting higher lately. Cryptocurrency is one form of digital currency today. Cryptocurrencies is developed based on blockchain technology. The existence of cryptocurrency makes it a new and popular transaction model among its users, community, industry, and government. This is crucial study to measure the level of acceptability of cryptocurrency to understand the level of users’ sustainability in the future. Through the expectation confirmation model (ECM), this study develops the integration concept between ECM and technology readiness (TR). The method employed to measure the results of the hypothesis in this study was structural equation modeling. There are nine hypotheses proposed in the present study. Of the nine tested hypotheses, it was found that there are eight accepted hypotheses which are positive and have significance, while one hypothesis was rejected. The results of this study can be used as a guide and understanding of cryptocurrencies and the continued use of cryptocurrencies.

Suggested Citation

  • Taqwa Hariguna & Athapol Ruangkanjanases & Bakri Bin Madon & Khaled Mofawiz Alfawaz, 2023. "Assessing Determinants of Continuance Intention Toward Cryptocurrency Usage: Extending Expectation Confirmation Model With Technology Readiness," SAGE Open, , vol. 13(1), pages 21582440231, March.
    • Handle: RePEc:sae:sagope:v:13:y:2023:i:1:p:21582440231160439
    DOI: 10.1177/21582440231160439
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/21582440231160439
    Download Restriction: no
    File URL: https://libkey.io/10.1177/21582440231160439?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. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    2. Anol Bhattacherjee & Sang Cheol Park, 2014. "Why end-users move to the cloud: a migration-theoretic analysis," European Journal of Information Systems, Taylor & Francis Journals, vol. 23(3), pages 357-372, May.
    3. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    4. Lin, Angela & Chen, Nan-Chou, 2012. "Cloud computing as an innovation: Percepetion, attitude, and adoption," International Journal of Information Management, Elsevier, vol. 32(6), pages 533-540.
    5. Hsiuju Rebecca Yen, 2005. "An attribute-based model of quality satisfaction for Internet self-service technology," The Service Industries Journal, Taylor & Francis Journals, vol. 25(5), pages 641-659, July.
    6. Blau, Benjamin M., 2018. "Price dynamics and speculative trading in Bitcoin," Research in International Business and Finance, Elsevier, vol. 43(C), pages 15-21.
    7. R. Chumpitaz & N. Paparoidamis, 2007. "Service quality, relationship satisfaction, trust, commitment, and business-to-business loyalty," Post-Print hal-00199063, HAL.
    8. Zheng-Zheng Li & Ran Tao & Chi-Wei Su & Oana-Ramona Lobonţ, 2019. "Does Bitcoin bubble burst?," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(1), pages 91-105, January.
    9. 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).
    10. Dan J. Kim & Donald L. Ferrin & H. Raghav Rao, 2009. "Trust and Satisfaction, Two Stepping Stones for Successful E-Commerce Relationships: A Longitudinal Exploration," Information Systems Research, INFORMS, vol. 20(2), pages 237-257, June.
    11. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    12. Wang, Gang-Jin & Xie, Chi & Wen, Danyan & Zhao, Longfeng, 2019. "When Bitcoin meets economic policy uncertainty (EPU): Measuring risk spillover effect from EPU to Bitcoin," Finance Research Letters, Elsevier, vol. 31(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Elnadi, Moustafa & Troise, Ciro & Jones, Paul & Gheith, Mohamed Hani, 2024. "Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt," Technological Forecasting and Social Change, Elsevier, vol. 207(C).

    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. Parthajit Kayal & Purnima Rohilla, 2021. "Bitcoin in the economics and finance literature: a survey," SN Business & Economics, Springer, vol. 1(7), pages 1-21, July.
    2. Leung, Louis & Chen, Cheng, 2019. "E-health/m-health adoption and lifestyle improvements: Exploring the roles of technology readiness, the expectation-confirmation model, and health-related information activities," Telecommunications Policy, Elsevier, vol. 43(6), pages 563-575.
    3. Kerstin Pezoldt & Jana Schliewe, 2012. "Akzeptanz von Self-Service-Technologien: State of the Art," Schmalenbach Journal of Business Research, Springer, vol. 64(2), pages 205-253, March.
    4. Shweta Pandey & Deepak Chawla, 2016. "Impact of changing consumer lifestyles and website quality on online satisfaction and loyalty - an emerging market framework," International Journal of Indian Culture and Business Management, Inderscience Enterprises Ltd, vol. 12(1), pages 50-71.
    5. Leung, Louis & Chen, Chris Cheng, 2017. "e-Health/m-Health Adoption and Lifestyle Improvements: Exploring the Roles of Technology Readiness, the Expectation-Confirmation Model, and Health-Related Information Activities," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168512, International Telecommunications Society (ITS).
    6. Siti Salwa Mohd Ishak & Sidney Newton, 2018. "Testing a Model of User Resistance Towards Technology Adoption in Construction Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 15(06), pages 1-27, December.
    7. Chun Yang & Jui-Che Tu & Qianling Jiang, 2020. "The Influential Factors of Consumers’ Sustainable Consumption: A Case on Electric Vehicles in China," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    8. Faqih, Khaled M.S., 2016. "An empirical analysis of factors predicting the behavioral intention to adopt Internet shopping technology among non-shoppers in a developing country context: Does gender matter?," Journal of Retailing and Consumer Services, Elsevier, vol. 30(C), pages 140-164.
    9. Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    10. Müller-Seitz, Gordon & Dautzenberg, Kirsti & Creusen, Utho & Stromereder, Christine, 2009. "Customer acceptance of RFID technology: Evidence from the German electronic retail sector," Journal of Retailing and Consumer Services, Elsevier, vol. 16(1), pages 31-39.
    11. Garaus, Marion & Wolfsteiner, Elisabeth & Wagner, Udo, 2016. "Shoppers' acceptance and perceptions of electronic shelf labels," Journal of Business Research, Elsevier, vol. 69(9), pages 3687-3692.
    12. Lin, Tung-Ching & Huang, Shiu-Li & Hsu, Chieh-Ju, 2015. "A dual-factor model of loyalty to IT product – The case of smartphones," International Journal of Information Management, Elsevier, vol. 35(2), pages 215-228.
    13. Salari, Nasir, 2022. "Electric vehicles adoption behaviour: Synthesising the technology readiness index with environmentalism values and instrumental attributes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 60-81.
    14. Nikolaos A. Kyriazis, 2021. "A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets," JRFM, MDPI, vol. 14(7), pages 1-46, June.
    15. Aiman Hairudin & Imtiaz Mohammad Sifat & Azhar Mohamad & Yusniliyana Yusof, 2022. "Cryptocurrencies: A survey on acceptance, governance and market dynamics," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 4633-4659, October.
    16. Chidera C. Ugwuanyi & Chukwunonso Oraedu & Chuka U. Ifediora & Ernest E. Izogo & Simplice A. Asongu & Ikechukwu J. Attamah, 2022. "Understanding drivers of self-service technologies (SSTs) satisfaction and marketing bottom lines: Evidence from Nigeria," Working Papers of the African Governance and Development Institute. 22/025, African Governance and Development Institute..
    17. Enoksen, F.A. & Landsnes, Ch.J. & Lučivjanská, K. & Molnár, P., 2020. "Understanding risk of bubbles in cryptocurrencies," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 129-144.
    18. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    19. Wu, Ing-Long, 2013. "The antecedents of customer satisfaction and its link to complaint intentions in online shopping: An integration of justice, technology, and trust," International Journal of Information Management, Elsevier, vol. 33(1), pages 166-176.
    20. Mohamed Slim Ben Mimoun & Caroline Lancelot Miltgen & Boulbeba Slama, 2022. "Is the shopper always the king/queen? Study of omnichannel retail technology use and shopping orientations," Post-Print hal-03519230, HAL.

    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:13:y:2023:i:1:p:21582440231160439. 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.