Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory

Gulsah Hancerliogullari Koksalmis; İbrahim Arpacı; Emrah Koksalmis

doi:10.1007/978-3-031-14748-7_6

Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory

Gulsah Hancerliogullari Koksalmis^*
, İbrahim Arpacı
, Emrah Koksalmis

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Bandırma Onyedi Eylül University
Turkish National Defence University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

5 Atıf (Scopus)

Özet

Bitcoin, the world’s first completely decentralized digital currency, gradually attracts the interest of a large number of people all over the world. The study proposed an integrated research framework to discover the antecedents of behavioral intention to use cryptocurrencies, specifically Bitcoin, by extending the technology acceptance model (TAM) with perceived risk theory (PRT). Structural equation modeling approach using SmartPLS was employed to confirm validity of the instruments and test the hypothesized relationships based on data collected from a sample of 397 individuals, who are randomly selected among the people in the United States. The results indicated that perceived risk negatively predicted the behavioral intention to use Bitcoin. Whereas, social influence, perceived usefulness, perceived ease of use, and attitude positively predicted the behavioral intention. Implications of the findings and recommendations for further studies were discussed.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Studies in Computational Intelligence
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	105-120
Sayfa sayısı	16
DOI'lar	https://doi.org/10.1007/978-3-031-14748-7_6
Yayın durumu	Yayınlandı - 2022

Yayın serisi

Adı	Studies in Computational Intelligence
Hacim	1061
ISSN (Basılı)	1860-949X
ISSN (Elektronik)	1860-9503

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-031-14748-7_6

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Koksalmis, G. H., Arpacı, İ., & Koksalmis, E. (2022). Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory. In Studies in Computational Intelligence (pp. 105-120). (Studies in Computational Intelligence; Hac. 1061). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-14748-7_6

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abstract = "Bitcoin, the world{\textquoteright}s first completely decentralized digital currency, gradually attracts the interest of a large number of people all over the world. The study proposed an integrated research framework to discover the antecedents of behavioral intention to use cryptocurrencies, specifically Bitcoin, by extending the technology acceptance model (TAM) with perceived risk theory (PRT). Structural equation modeling approach using SmartPLS was employed to confirm validity of the instruments and test the hypothesized relationships based on data collected from a sample of 397 individuals, who are randomly selected among the people in the United States. The results indicated that perceived risk negatively predicted the behavioral intention to use Bitcoin. Whereas, social influence, perceived usefulness, perceived ease of use, and attitude positively predicted the behavioral intention. Implications of the findings and recommendations for further studies were discussed.",

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author = "Koksalmis, \{Gulsah Hancerliogullari\} and İbrahim Arpacı and Emrah Koksalmis",

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Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory. / Koksalmis, Gulsah Hancerliogullari; Arpacı, İbrahim; Koksalmis, Emrah.
Studies in Computational Intelligence. Springer Science and Business Media Deutschland GmbH, 2022. p. 105-120 (Studies in Computational Intelligence; Hac. 1061).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Bölüm › bilirkişi

TY - CHAP

T1 - Predicting the Intention to Use Bitcoin

T2 - An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory

AU - Koksalmis, Gulsah Hancerliogullari

AU - Arpacı, İbrahim

AU - Koksalmis, Emrah

PY - 2022

Y1 - 2022

N2 - Bitcoin, the world’s first completely decentralized digital currency, gradually attracts the interest of a large number of people all over the world. The study proposed an integrated research framework to discover the antecedents of behavioral intention to use cryptocurrencies, specifically Bitcoin, by extending the technology acceptance model (TAM) with perceived risk theory (PRT). Structural equation modeling approach using SmartPLS was employed to confirm validity of the instruments and test the hypothesized relationships based on data collected from a sample of 397 individuals, who are randomly selected among the people in the United States. The results indicated that perceived risk negatively predicted the behavioral intention to use Bitcoin. Whereas, social influence, perceived usefulness, perceived ease of use, and attitude positively predicted the behavioral intention. Implications of the findings and recommendations for further studies were discussed.

AB - Bitcoin, the world’s first completely decentralized digital currency, gradually attracts the interest of a large number of people all over the world. The study proposed an integrated research framework to discover the antecedents of behavioral intention to use cryptocurrencies, specifically Bitcoin, by extending the technology acceptance model (TAM) with perceived risk theory (PRT). Structural equation modeling approach using SmartPLS was employed to confirm validity of the instruments and test the hypothesized relationships based on data collected from a sample of 397 individuals, who are randomly selected among the people in the United States. The results indicated that perceived risk negatively predicted the behavioral intention to use Bitcoin. Whereas, social influence, perceived usefulness, perceived ease of use, and attitude positively predicted the behavioral intention. Implications of the findings and recommendations for further studies were discussed.

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KW - Cryptocurrencies

KW - Perceived risk theory

KW - Technology acceptance model

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AN - SCOPUS:85139433060

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SP - 105

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PB - Springer Science and Business Media Deutschland GmbH

ER -

Predicting the Intention to Use Bitcoin: An Extension of Technology Acceptance Model (TAM) with Perceived Risk Theory

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