Volume 13, Issue 2 (Spring 2018)
J. Mon. Ec. 2018, 13(2): 195-219 |
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Heidari H, Moosakhani M, Alborzi M, Divandari A, Radfar R. Evaluating the Factors Affecting Behavioral Intention in Using Blockchain Technology Capabilities as a Financial Instrument. J. Mon. Ec. 2018; 13 (2) :195-219
URL: http://jme.mbri.ac.ir/article-1-423-en.html
URL: http://jme.mbri.ac.ir/article-1-423-en.html
1- Islamic Azad University, Science And Research Branch
2- University of Tehran
2- University of Tehran
Abstract: (2680 Views)
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.
Keywords: Blockchain, Personal Propensity to Trust, Structural Assurances Beliefs, Task Characteristics, Task-Technology Fit, Performance Expectancy
Type of Study: Original Research - Theoric |
Subject:
Microeconomics
Received: 8 Jun 2019 | Accepted: 8 Sep 2019 | Published: 20 Apr 2020
Received: 8 Jun 2019 | Accepted: 8 Sep 2019 | Published: 20 Apr 2020
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