IDEAS home Printed from https://ideas.repec.org/a/mbr/jmonec/v13y2018i2p195-219.html
   My bibliography  Save this article

Evaluating the Factors Affecting Behavioral Intention in Using Blockchain Technology Capabilities as a Financial Instrument

Author

Listed:
  • Heidari , Hamed

    (Islamic Azad University, Science And Research Branch)

  • Moosakhani , Morteza

    (Islamic Azad University, Science And Research Branch)

  • Alborzi , Mahmood

    (Islamic Azad University, Science And Research Branch)

  • Divandari , Ali

    (University of Tehran)

  • Radfar , Reza

    (Islamic Azad University, Science And Research Branch)

Abstract

The use of technology acceptance models is a way to understand the users' attitude towards new technologies. The present study aimed to investigate drivers affecting the customers' behavioral intention to use blockchain capabilities as a financial instrument using a combination of several technology acceptance models to determine what factors encouraged users to use blockchain capabilities as a financial instrument. Therefore, determinants of the behavioral intention to use blockchain capabilities as a financial instrument were first explored by the literature review, and then the structural equation model was built according to this basis. Results of data analysis indicated that the personal propensity to trust and structural assurance beliefs directly affected the initial trust that in turn, affected the users' behavioral intention. On the other hand, task and technology characteristics directly affected the task-technology fit that in turn, affected the users' behavioral intention. Furthermore, the performance expectancy directly affected the users' behavioral intention. Results of the present research indicated that the intention to use blockchain capabilities as financial instrument came from a social need; and users were keen to use blockchain despite some limitations of this technology.

Suggested Citation

  • Heidari , Hamed & Moosakhani , Morteza & Alborzi , Mahmood & Divandari , Ali & Radfar , Reza, 2018. "Evaluating the Factors Affecting Behavioral Intention in Using Blockchain Technology Capabilities as a Financial Instrument," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 13(2), pages 195-219, April.
    • Handle: RePEc:mbr:jmonec:v:13:y:2018:i:2:p:195-219
    as

    Download full text from publisher

    File URL: http://jme.mbri.ac.ir/article-1-423-en.pdf
    Download Restriction: no
    File URL: http://jme.mbri.ac.ir/article-1-423-en.html
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    2. Paul Benjamin Lowry & Anthony Vance & Greg Moody & Bryan Beckman & Aaron Read, 2008. "Explaining and Predicting the Impact of Branding Alliances and Web Site Quality on Initial Consumer Trust of E-Commerce Web Sites," Post-Print halshs-00684347, HAL.
    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. Ye Guo & Chen Liang, 2016. "Blockchain application and outlook in the banking industry," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-12, December.
    5. repec:dau:papers:123456789/12465 is not listed on IDEAS
    6. Jörg Henseler & Marko Sarstedt, 2013. "Goodness-of-fit indices for partial least squares path modeling," Computational Statistics, Springer, vol. 28(2), pages 565-580, April.
    7. Philipp Wunderlich & Andreas Größler & Nicole Zimmermann & Jac A. M. Vennix, 2014. "Managerial influence on the diffusion of innovations within intra-organizational networks," System Dynamics Review, System Dynamics Society, vol. 30(3), pages 161-185, July.
    8. D. Harrison McKnight & Vivek Choudhury & Charles Kacmar, 2002. "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology," Information Systems Research, INFORMS, vol. 13(3), pages 334-359, September.
    9. Marsal-Llacuna, Maria-Lluïsa, 2018. "Future living framework: Is blockchain the next enabling network?," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 226-234.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    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. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    2. Yadgar Taha M. Hamakhan, 2020. "The effect of individual factors on user behaviour and the moderating role of trust: an empirical investigation of consumers’ acceptance of electronic banking in the Kurdistan Region of Iraq," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-29, December.
    3. Nasser Hamidi & Tahmineh Torabi Rad & Alireza Jahany, 2012. "Evaluation Of Factors Influencing Tendency Towards E- Banking In Bank Customers," Far East Journal of Marketing and Management, Far East Research Centre, vol. 2(3), pages 25-42, August.
    4. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits : survey in connection with the research project "Finnish payment habits 2010"," Research Discussion Papers 32/2006, Bank of Finland.
    5. Sang Soo Kim, 2020. "Purchase Intention in the Online Open Market: Do Concerns for E-Commerce Really Matter?," Sustainability, MDPI, vol. 12(3), pages 1-21, January.
    6. Quaglione, Davide & Crociata, Alessandro & Agovino, Massimiliano & Iaia, Lea, 2020. "Cultural capital and online purchase of tourism services," Annals of Tourism Research, Elsevier, vol. 80(C).
    7. Arindra Nath Mishra & Shayani Sengupta, 2024. "Discount Coupons Versus Trust and Satisfaction—Which is Better for M-Commerce?," Management and Labour Studies, XLRI Jamshedpur, School of Business Management & Human Resources, vol. 49(1), pages 28-42, February.
    8. Amaro, Suzanne & Duarte, Paulo, 2015. "An integrative model of consumers' intentions to purchase travel online," Tourism Management, Elsevier, vol. 46(C), pages 64-79.
    9. Wajeeha Aslam & Annas Hussain & Kashif Farhat & Imtiaz Arif, 2020. "Underlying Factors Influencing Consumers’ Trust and Loyalty in E-commerce," Business Perspectives and Research, , vol. 8(2), pages 186-204, July.
    10. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    11. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    12. 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).
    13. Alireza Tamjidyamcholo & Sameer Kumar & Ainin Sulaiman & Rahmatollah Gholipour, 2016. "Willingness of members to participate in professional virtual communities," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(6), pages 2515-2534, November.
    14. Mónica Martínez-Gómez & Eliseo Bustamante & César Berna-Escriche, 2022. "Development and Validation of an E-Learning Education Model in the COVID-19 Pandemic: A Case Study in Secondary Education," Sustainability, MDPI, vol. 14(20), pages 1-28, October.
    15. repec:zbw:bofrdp:2006_032 is not listed on IDEAS
    16. Isaac Kofi Mensah & Guohua Zeng & Chuanyong Luo, 2023. "Determinants of Social Commerce Purchase and Recommendation Intentions Within the Context of Swift Guanxi Among Chinese College Students," SAGE Open, , vol. 13(2), pages 21582440231, June.
    17. Seif Obeid Al-Shbiel & Muhannad Akram Ahmad, 2016. "A Theoretical Discussion of Electronic Banking in Jordan by Integrating Technology Acceptance Model and Theory of Planned Behavior," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 272-284, July.
    18. Marzieh Soleimani, 2022. "Buyers' trust and mistrust in e-commerce platforms: a synthesizing literature review," Information Systems and e-Business Management, Springer, vol. 20(1), pages 57-78, March.
    19. Zeleke Siraye Asnakew, 2020. "Customers’ Continuance Intention to Use Mobile Banking: Development and Testing of an Integrated Model," The Review of Socionetwork Strategies, Springer, vol. 14(1), pages 123-146, April.
    20. Jaeki Song & Yong Jin Kim, 2006. "Social influence process in the acceptance of a virtual community service," Information Systems Frontiers, Springer, vol. 8(3), pages 241-252, July.
    21. Anastasios-Ioannis Theocharidis & Maria Argyropoulou & George Karavasilis & Vasiliki Vrana & Evangelos Kehris, 2020. "An Approach towards Investigating Factors Affecting Intention to Book a Hotel Room through Social Media," Sustainability, MDPI, vol. 12(21), pages 1-20, October.

    More about this item

    Keywords

    Blockchain; Personal Propensity to Trust; Structural Assurances Beliefs; Task Characteristics; Task-Technology Fit; Performance Expectancy;
    All these keywords.

    JEL classification:

    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles

    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:mbr:jmonec:v:13:y:2018:i:2:p:195-219. 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: M. E. (email available below). General contact details of provider: https://edirc.repec.org/data/mbcbiir.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.