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The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter?

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 11 No. 6 (2021)

DOI
10.11591/ijece.v11i6.pp5351-5366
ISSN
2722-2578, 2088-8708
Published
2021-12-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Bitcoin is a decentralized system that tries to become a solution to the shortcomings of fiat and gold-based currencies. Considering its newness, the adoption level of bitcoin is yet understood. Hence, several variables are proposed in this work in examining user perceptions regarding performance expectancy, effort expectancy, trust, adoption risk, decentralization and social influence interplay, with the context of user’s future expectation and behavioral intentions to use bitcoins. Data were gathered from 293 completed questionnaire and analised using AMOS 18. The outcomes prove the sound predictability of the proposed model regarding user’s future expectations and intentions toward bitcoins. All hypotheses were supported, they were significantly affecting the dependent variables. Social influence was found as the highest predictor of behavioral intention to negatively utilize bitcoins. The significant impact of social influence, adoption risk and effort expectancy which affect behavioral intention to use bitcoins the most, are demonstrated in this study. Bitcoins should thus, present an effective, feasible and personalized program which will assist efficient usage among users. Additionally, the impacts of social influence, adoption risk and perceived trust on behavioral intention to utilize new technology were compared, and their direct path was tested together, for the first time in this context.

Collaboration network of the authors

40 authors · 211 co-authorship links · 83 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Imam Abdulrahman Bin Faisal University
  • Al-Balqa Applied University
  • Taibah University
  • Amman Arab University
  • Al-Zaytoonah University of Jordan
  • Fujairah University
  • Wenzhou-Kean University
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Usama A. BadawiImam Abdulrahman Bin Faisal University16
Sana JawarnehImam Abdulrahman Bin Faisal University16
Hayat AlfaghamImam Abdulrahman Bin Faisal University14
Jehad Saad AlqurniImam Abdulrahman Bin Faisal University13
Firas HaddadImam Abdulrahman Bin Faisal University11
Eman A. E. AhmedImam Abdulrahman Bin Faisal University10
Nashat AlrefaiImam Abdulrahman Bin Faisal University9
Mohammed Fahed TayfourImam Abdulrahman Bin Faisal University7
Ibrahim Al-marashdehAffiliation unknown7
Raed Ali AlkhasawnehImam Abdulrahman Bin Faisal University6
Yousef QawqzehFujairah University6
Mohammad AlmatariAl-Balqa Applied University5
Belal AbuhaijaWenzhou-Kean University5
Aladeen AlloubaniKing Hussein Cancer Center5
Anmar AbuhamdahTaibah University4
Muneerah AlshabanahImam Abdulrahman Bin Faisal University3
Daniah AlrajhiImam Abdulrahman Bin Faisal University3
Hanouf AlkhaldiImam Abdulrahman Bin Faisal University3
Abderrazak Ben SalahImam Abdulrahman Bin Faisal University3
Tamer FaragImam Abdulrahman Bin Faisal University3
Walaa HassanImam Abdulrahman Bin Faisal University3
Ali Al‐YousefJerash University3
Anmar Abu-HamdahAffiliation unknown3
Khalid ShakerUniversity of Anbar3
Wadii BoulilaTaibah University3
Anas Mohammad Ali QuteishatAl-Balqa Applied University3
Ahmad Mohamad Al-SmadiAl-Balqa Applied University2
Abdel Karim BaarehAl-Balqa Applied University2
Hayam AbouelmagdImam Abdulrahman Bin Faisal University2
Osman Saad ShidwanImam Abdulrahman Bin Faisal University2
Ahmed Mohamed Farhan MohamedImam Abdulrahman Bin Faisal University1
Samir Abdulwahab Nafee JaradatImam Abdulrahman Bin Faisal University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>The adoption of bitcoins technology: The difference between perceived future expectation and intention to use bitcoins: Does social influence matter?</dc:title><dc:creator>Almarashdeh, Ibrahim</dc:creator><dc:creator>Eldaw, Kamal Eldin</dc:creator><dc:creator>Alsmadi, Mutasem</dc:creator><dc:creator>Alghamdi, Fahad</dc:creator><dc:creator>Jaradat, Ghaith</dc:creator><dc:creator>Althunibat, Ahmad</dc:creator><dc:creator>Alzaqebah, Malek</dc:creator><dc:creator>A. Mohammad, Rami Mustafa</dc:creator><dc:description>&lt;jats:p&gt;Bitcoin is a decentralized system that tries to become a solution to the shortcomings of fiat and gold-based currencies. Considering its newness, the adoption level of bitcoin is yet understood. Hence, several variables are proposed in this work in examining user perceptions regarding performance expectancy, effort expectancy, trust, adoption risk, decentralization and social influence interplay, with the context of user’s future expectation and behavioral intentions to use bitcoins. Data were gathered from 293 completed questionnaire and analised using AMOS 18. The outcomes prove the sound predictability of the proposed model regarding user’s future expectations and intentions toward bitcoins. All hypotheses were supported, they were significantly affecting the dependent variables. Social influence was found as the highest predictor of behavioral intention to negatively utilize bitcoins. The significant impact of social influence, adoption risk and effort expectancy which affect behavioral intention to use bitcoins the most, are demonstrated in this study. Bitcoins should thus, present an effective, feasible and personalized program which will assist efficient usage among users. Additionally, the impacts of social influence, adoption risk and perceived trust on behavioral intention to utilize new technology were compared, and their direct path was tested together, for the first time in this context.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2021-12-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v11i6.pp5351-5366</dc:identifier><dc:identifier>10.11591/ijece.v11i6.pp5351-5366</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 11 No 6 (2021); 5351</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/22133/15251</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>