Skip to main content
Log in

An empirical study on the commercial adoption of digital currencies

  • Original Article
  • Published:
Information Systems and e-Business Management Aims and scope Submit manuscript

Abstract

Digital currencies are rapidly evolving Internet currencies that have been increasingly attracting academic, governmental, banking, and business interest. This paper aims to present the commercial perspective towards the adoption of digital currencies as a means of daily transactions. Considering digital currencies as a pioneering technological innovation, this study proposes a research model that combines the innovation decision process model with the technology acceptance model, adding the construct of perceived security in order to investigate the factors that affect the actual use of digital currencies. The collected data from 254 respondents, derived from an online questionnaire-based survey addressed to commercial users, were further analyzed by using structural equation modeling. The findings of this research have significant implications for academics by bridging the gap in the literature about the factors affecting digital currencies’ commercial adoption and for practitioners concerning decision-making on their adoption and use. More specifically, this study stresses the role of perceived security and the fact that managers need to build their policies regarding transactions in digital currencies on the basis of security. Perceived usefulness was also found to be a significant factor, meaning that commercial users should be aware of the advantages of digital currencies regarding businesses. Moreover, compatibility with existing values and practices affects indirectly the actual use of digital currencies, implying that managers need to perceive that the use of digital currencies should be compatible with existing practices.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Notes

  1. According to the website Bitcoin.org, the term Bitcoin with capital “B” is used when describing the concept of Bitcoin or the entire network itself, while the term Bitcoin with lower-case “b” is used to describe Bitcoin as a unit of transaction (https://Bitcoin.org/en/vocabulary#bit).

  2. Bitcoin, Ripple, and Ethereum are the top three cryptocurrencies in terms of market capitalization (CoinMarketCap 2019).

  3. https://Bitcointalk.org/.

  4. http://edcab.eu/.

  5. http://forums.pureoverclock.com/forum.php.

  6. http://forum.diginomics.com/.

  7. In the 2nd section of the questionnaire, the respondents had to choose between two alternative cases: the case that the company which they represented had adopted the digital currencies as a means of transaction and the case that it had not. Depending on their choice, the respondents were asked to complete a different set of questions in the same section of the questionnaire. Sections 1, 3 and 4 of the questionnaire were common for all the respondents.

References

  • Abramova S, Böhme R (2016) Perceived benefit and risk as multidimensional determinants of Bitcoin use: a quantitative exploratory study. In: Proceedings of the 37th international conference on information systems, Dublin, pp 233–252

  • Agarwal R, Karahanna E (1998) On the multi-dimensional nature of compatibility beliefs in technology acceptance. In: Proceedings of the 19th annual international conference on information systems, Helsinki, pp 13–16

  • Agarwal R, Prasad J (1998) A conceptual and operational definition of personal innovativeness in the domain of information technology. Inf Syst Res 9(2):204–215

    Article  Google Scholar 

  • Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behaviour. Prentice-Hall, Englewood Cliffs

    Google Scholar 

  • Andrychowicz M, Dziembowski S, Malinowski D, Mazurek Ł (2015) On the malleability of Bitcoin transactions. In: International conference on financial cryptography and data security. Springer, Berlin, Heidelberg, pp 1–18

    Google Scholar 

  • Antonopoulos AM (2014) Mastering Bitcoin: unlocking digital cryptocurrencies. O’Reilly Media, Inc., Sebastopol

    Google Scholar 

  • Bank for International Settlements (2018) Central bank digital currencies. https://www.bis.org/cpmi/publ/d174.pdf. Accessed 30 Jan 2019

  • Bashir M, Strickland B, Bohr J (2016) What motivates people to use Bitcoin? In: International conference on social informatics. Springer, Cham, pp 347–367

    Google Scholar 

  • Becker J, Breuker D, Heide T et al (2013) Can we afford integrity by proof-of-work? Scenarios inspired by the Bitcoin currency. In: Böhme R (ed) The economics of information security and privacy. Springer, Berlin, pp 135–156

    Chapter  Google Scholar 

  • Bitcoin Foundation (2014) Removing impediments to Bitcoin’ s success: a risk management study. Research brief no 1. https://Bitcoinfoundation.org/wp-content/uploads/2014/07/Bitcoin-Risk-Management-Study-Spring-2014.pdf. Accessed 9 July 2017

  • Bohr J, Bashir M (2014) Who uses Bitcoin? An exploration of the Bitcoin community. In: 2014 12th annual conference on privacy, security and trust (PST). IEEE, pp 94–101

  • Brito J, Castillo A (2013) Bitcoin: a primer for policymakers. Mercatus Center at George Mason University, Arlington

    Google Scholar 

  • Carter L, Bélanger F (2005) The utilization of e-government services: citizen trust, innovation and acceptance factors. Inf Syst J 15(1):5–25

    Article  Google Scholar 

  • Catalini C, Tucker C (2016) Seeding the s-curve? The role of early adopters in diffusion. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2835854. Accessed 12 Apr 2018

  • Cermak V (2017) Can Bitcoin become a viable alternative to fiat currencies? An empirical analysis of Bitcoin’s volatility based on a GARCH model. SSRN. http://www.ssrn.com/abstract=2961405. Accessed 23 Feb 2018

  • Chau PYK, Hu PJ (2002) Investigating healthcare professionals’ decisions to accept telemedicine technology: an empirical test of competing theories. Inf Manag 39(4):297–311

    Article  Google Scholar 

  • Chellappa RK, Pavlou PA (2002) Perceived information security, financial liability and consumer trust in electronic commerce transactions. Logist Inf Manag 15(5/6):358–368

    Article  Google Scholar 

  • Chen L, Gillenson ML, Sherrell DL (2002) Enticing online consumers: an extended technology acceptance perspective. Inf Manag 39(8):705–719

    Article  Google Scholar 

  • Chismar WG, Wiley-Patton S (2003) Does the extended technology acceptance model apply to physicians. In: Proceedings of the 36th Hawaii international conference on system sciences. Big Island, HI, pp 160–167

  • Chou DC, Yen DC, Lin B, Hong-Lam CP (1999) Cyberspace security management. Ind Manag Data Syst 99(8):353–361

    Article  Google Scholar 

  • Chowdhury A, Mendelson BK (2013) Virtual currency and the financial system: the case of Bitcoin. https://epublications.marquette.edu/cgi/viewcontent.cgi?referer=https://www.google.com/&httpsredir=1&article=1030&context=econ_workingpapers. Accessed 12 Apr 2018

  • Ciaian P, Rajcaniova M, Kancs d’Artis A (2016) The digital agenda of virtual currencies: Can Bitcoin become a global currency? Inf Syst E-bus Manag 14(4):883–919

    Article  Google Scholar 

  • Coffin B (2003) Breaking the silence on white collar crime. Risk Manag 50(9):8

    Google Scholar 

  • CoinMarketCap (2019) Top 100 cryptocurrencies by market capitalization. https://coinmarketcap.com/. Accessed 14 Feb 2019

  • Connolly AJ, Kick A (2015) What differentiates early organization adopters of Bitcoin from non-adopters? In: AMCIS 2015 proceedings. AIS electronic library: association for information systems (AIS). Puerto Rico, pp 1–6

  • Crespo ÁH, De Los Salmones Sánchez MMG, Del Bosque IR (2013) Influence of users’ perceived compatibility and their prior experience on B2C e-commerce acceptance. In: Electronic business and marketing. Springer, Berlin, pp 103–123

    Chapter  Google Scholar 

  • Dabrowski M, Janikowski L (2018) Virtual currencies and central banks monetary policy: challenges ahead. http://waceo.org/wp-content/uploads/2018/07/cryptocurrencies/Virtualcurrenciesandcentralbanksmonetarypolicy:challengesahead.pdf. Accessed 2 Nov 2018

  • Davis FD (1985) A technology acceptance model for empirically testing new end-user information systems: theory and results. Doctoral dissertation, MIT Sloan School of Management

  • Davis FD (1989) Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q 13(3):319–340

    Article  Google Scholar 

  • Davis FD, Bagozzi RP, Warshaw PR (1989) User acceptance of computer technology: a comparison of two theoretical models. Manage Sci 35(8):982–1003

    Article  Google Scholar 

  • Decker C, Wattenhofer R (2013) Information propagation in the Bitcoin network. In: 13th IEEE international conference on peer-to-peer computing (P2P). IEEE, Trento, pp 1–10

  • Dion DA (2013) I’ll gladly trade you two bits on Tuesday for a byte today: Bitcoin, regulating fraud in the e-conomy of hacker-cash. U Illinois JL Tech Pol’y 1:165

    Google Scholar 

  • Dong-Her S, Hsiu-Sen C, Chun-Yuan C, Lin B (2004) Internet security: malicious e-mails detection and protection. Ind Manag Data Syst 104(7):613–623

    Article  Google Scholar 

  • Dwyer G (2014) The economics of private digital currency. MPRA. http://mpra.ub.uni-muenchen.de/55824/. Accessed 12 Apr 2018

  • Dwyer G (2015) The economics of Bitcoin and similar private digital currencies. J Financ Stab 17:81–91

    Article  Google Scholar 

  • Eastin MS (2002) Diffusion of e-commerce: an analysis of the adoption of four e-commerce activities. Telemat Inform 19(3):251–267

    Article  Google Scholar 

  • El-Kasheir D, Ashour A, Yacout O (2009) Factors affecting continued usage of internet banking among Egyptian customers. https://www.researchgate.net/publication/50434458%0AFactors. Accessed 23 Mar 2018

  • Ermakova T, Fabian B, Baumann A et al (2017) Bitcoin: drivers and impediments. SSRN. https://ssrn.com/abstract=3017190. Accessed 10 Nov 2018

  • European Banking Authority (2013) Warning to currencies consumers on virtual currencies. https://www.eba.europa.eu/documents/10180/598344/EBA+Warning+on+Virtual+Currencies.pdf. Accessed 13 Nov 2018

  • European Central Bank (2012) Virtual currency schemes. http://www.ecb.europa.eu/pub/pdf/other/virtualcurrencyschemes201210en.pdf. Accessed 1 Mar 2018

  • Eyal I, Sirer EG (2018) Majority is not enough: Bitcoin mining is vulnerable. Commun ACM 61(7):95–102

    Article  Google Scholar 

  • Fenech T (1998) Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Comput Netw ISDN Syst 30(1):629–630

    Article  Google Scholar 

  • Fishbein M, Ajzen I (1975) Belief, attitude, intention and behavior: an introduction to theory and research. Addison-Wesley, Reading

    Google Scholar 

  • Flavián C, Guinalíu M (2006) Consumer trust, perceived security and privacy policy. Ind Manag Data Syst 106(5):601–620

    Article  Google Scholar 

  • Flynn LR, Goldsmith RE (1993) A validation of the Goldsmith and Hofacker innovativeness scale. Educ Psychol Meas 53(4):1105–1116

    Article  Google Scholar 

  • Folkinshteyn D, Lennon M (2016) Braving Bitcoin: a technology acceptance model (TAM) analysis. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2910803. Accessed 2 Apr 2018

  • Folkinshteyn D, Lennon M, Reilly T (2015a) A tale of twin tech: Bitcoin and the www. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2601617. Accessed 4 Apr 2018

  • Folkinshteyn D, Lennon MM, Reilly T (2015b) The Bitcoin mirage: an oasis of financial remittance. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2601621. Accessed 4 Apr 2018

  • Furnell SM, Karweni T (1999) Security implications of electronic commerce: a survey of consumers and businesses. Internet Res 9:372–382

    Article  Google Scholar 

  • Gao X, Clark GD, Lindqvist J (2016) Of two minds, multiple addresses, and one ledger: characterizing opinions, knowledge, and perceptions of Bitcoin across users and non-users. In: 2016 CHI conference on human factors in computing systems. ACM, San Jose, pp 1656–1668

  • Gefen D, Straub DW (1997) Gender differences in use of e-mail: an extension to the technology acceptance model. MIS Q 21(4):389–400

    Article  Google Scholar 

  • Glaser F, Zimmermann K, Haferkorn M et al (2014) Bitcoin—asset or currency? Revealing users’ hidden intentions. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2425247. Accessed 12 Apr 2018

  • Gounaris S, Koritos C (2008) Investigating the drivers of internet banking adoption decision: A comparison of three alternative frameworks. Int J Bank Market 26(5):282–304

    Article  Google Scholar 

  • Groves RM (1989) Survey errors and survey costs. Wiley, Hoboken

    Book  Google Scholar 

  • Gujarati D (2003) Basic econometrics. McGraw Hill, New York

    Google Scholar 

  • Halaburda H, Sarvary M (2016) Beyond Bitcoin: the economics of digital currencies. Palgrave Macmillan, New York

    Book  Google Scholar 

  • Hartono E, Holsapple CW, Kim KY et al (2014) Measuring perceived security in B2C electronic commerce website usage: a respecification and validation. Decis Support Syst 62:11–21

    Article  Google Scholar 

  • Hoffer JA, Alexander MB (1992) The diffusion of database machines. Database Adv Inf Syst 23(2):13–19

    Article  Google Scholar 

  • Holden RJ, Karsh BT (2010) The technology acceptance model: its past and its future in health care. J Biomed Inform 43(1):159–172

    Article  Google Scholar 

  • Hooper D, Coughlan J, Mullen MR (2008) Structural equation modelling: guidelines for determining model fit. Elect J Bus Res Methods 6(1):53–60

    Google Scholar 

  • Hu L, Bentler PM (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model Multidiscip J 6(1):1–55

    Article  Google Scholar 

  • Hu PJ, Chau PYK, Sheng ORL, Tam KY (1999) Examining the technology acceptance model using physician acceptance of telemedicine technology. J Manag Inf Syst 16(2):91–112

    Article  Google Scholar 

  • Iacobucci D (2010) Structural equations modeling: fit indices, sample size, and advanced topics. J Consum Psychol 20(1):90–98

    Article  Google Scholar 

  • Iavorschi M (2013) The Bitcoin project and the free market. CES working papers, vol 5(4), pp 529–534

  • Jones S, Wilikens M, Morris P, Masera M (2000) Trust requirements in e-business: a conceptual framework. Commun ACM 43(2):81–87

    Article  Google Scholar 

  • Karahanna E, Straub DW, Chervany NL (1999) Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS Q 23(2):183–213

    Article  Google Scholar 

  • Karlstrøm H (2014) Do libertarians dream of electric coins? The material embeddedness of Bitcoin. Distinktion Scand J Soc Theory 15(1):23–36

    Article  Google Scholar 

  • Kauffman RJ, Techatassanasoontorn AA (2005) International diffusion of digital mobile technology: a coupled-hazard state-based approach. Inf Technol Manag 6(2–3):253–292

    Article  Google Scholar 

  • Keil M, Beranek PM, Konsynski BR (1995) Usefulness and ease of use: field study evidence regarding task considerations. Decis Support Syst 13(1):75–91

    Article  Google Scholar 

  • Klein L (1962) An introduction to econometrics. Prentice-Hall Inc., Englewood Cliffs

    Google Scholar 

  • Kline RB (2011) Principles and practice of structural equation modeling. Guilford Publications, New York

    Google Scholar 

  • Kolodinsky JM, Hogarth JM, Hilgert MA (2004) The adoption of electronic banking technologies by US consumers. Int J Bank Mark 22(4):238–259

    Article  Google Scholar 

  • Kolsaker A, Payne C (2002) Engendering trust in e-commerce: a study of gender-based concerns. Mark Intell Plan 20(4):206–214

    Article  Google Scholar 

  • Kousaridas A, Parissis G, Apostolopoulos T (2008) An open financial services architecture based on the use of intelligent mobile devices. Electron Commer Res Appl 7(2):232–246

    Article  Google Scholar 

  • Kroll JA, Davey IC, Felten EW (2013) The economics of Bitcoin mining, or Bitcoin in the presence of adversaries. In: Workshop on the economics of information security (WEIS 2013), Washington, pp 1–21

  • Krombholz K, Judmayer A, Gusenbauer M, Weippl E (2016) The other side of the coin: user experiences with Bitcoin security and privacy. In: International conference on financial cryptography and data security. Springer, Berlin, pp 555–580

    Chapter  Google Scholar 

  • Kumpajaya A, Dhewanto W (2015) The acceptance of Bitcoin in Indonesia: extending TAM with IDT. http://download.portalgaruda.org/article.php?article=318684&val=2218&title=TheAcceptanceofBitcoininIndonesiaUsingTechnologyAcceptanceModel. Accessed 5 Nov 2017

  • Lee YH, Hsieh YC, Hsu CN (2011) Adding innovation diffusion theory to the technology acceptance model: supporting employees’ intentions to use e-learning systems. Educ Technol Soc 14(4):124–137

    Google Scholar 

  • Lin F-T, Wu H-Y, Tran TNN (2015) Internet banking adoption in a developing country: an empirical study in Vietnam. Inf Syst E-bus Manag 13(2):267–287

    Article  Google Scholar 

  • Linck K, Pousttchi K, Wiedemann DG (2006) Security issues in mobile payment from the customer viewpoint. In: Proceedings of the 14th European conference on information systems (ECIS 2006), Goteborg, pp 1–11

  • Lu J, Yu C, Liu C, Yao JE (2003) Technology acceptance model for wireless Internet. Internet Res 13(3):206–222

    Article  Google Scholar 

  • Luther WJ (2015) Regulating Bitcoin: On what grounds? SSRN. http://www.ssrn.com/abstract=2631307. Accessed 12 Apr 2018

  • Maddala G (2001) Introduction to econometrics. Wiley, New York

    Google Scholar 

  • Mallqui DCA, Fernandes RAS (2019) Predicting the direction, maximum, minimum and closing prices of daily Bitcoin exchange rate using machine learning techniques. Appl Soft Comput J 75:596–606. https://doi.org/10.1016/j.asoc.2018.11.038

    Article  Google Scholar 

  • Mancini-Griffoli T, Soledad Martinez Peria M, Agur I et al (2018) Casting light on central bank digital currency. https://www.imf.org/en/Publications/Staff-Discussion-Notes/Issues/2018/11/13/Casting-Light-on-Central-Bank-Digital-Currencies-46233. Accessed 30 Jan 2019

  • Maudlin J (2014) The 5 phases of Bitcoin adoption. https://www.forbes.com/sites/johnmauldin/2014/12/23/the-5-phases-of-Bitcoin-adoption/#53fd44fe1764. Accessed 5 Dec 2016

  • McQuitty S, Wolf M (2013) Structural equation modeling: a practical introduction. J Afr Bus 14(1):58–69

    Article  Google Scholar 

  • Meiklejohn S, Pomarole M, Jordan G et al (2013) A fistful of Bitcoins: characterizing payments among men with no names. In: Proceedings of the 2013 conference on Internet measurement conference. ACM, 2013, pp 127–140

  • Midgley DF, Dowling G (1978) Innovativeness: the concept and its measurement. J Consum Res 4(4):229–242

    Article  Google Scholar 

  • Moore T (2013) The promise and perils of digital currencies. Int J Crit Infrastruct Prot 6(3–4):147–149

    Article  Google Scholar 

  • Moore GC, Benbasat I (1991) Development of an instrument to measure the perceptions of adopting an information technology innovation. Inf Syst Res 2(3):192–222

    Article  Google Scholar 

  • Moore GC, Benbasat I (1996) Integrating diffusion of innovations and theory of reasoned action models to predict utilization of information technology by end-users. In: Kautz K, Pries-Heje J (eds) Diffusion and adoption of information technology, IFIP—the international federation for information processing. Springer, Boston, pp 132–146

    Chapter  Google Scholar 

  • Moore T, Christin N (2013) Beware the middleman: empirical analysis of Bitcoin-exchange risk. In: International conference on financial cryptography and data security. Springer, Berlin, pp 25–33

    Chapter  Google Scholar 

  • Nakamoto S (2008) Bitcoin: a peer-to-peer electronic cash system. http://Bitcoin.org/Bitcoin.pdf. Accessed 6 Feb 2014

  • Oh S, Ahn J, Kim B (2003) Adoption of broadband Internet in Korea: the role of experience in building attitudes. J Inf Technol 18(4):267–280

    Article  Google Scholar 

  • Oshodin O, Molla A, Ong C (2016) An information systems perspective on digital currencies: a systematic literature review. In: Australasian conference on information systems (ACIS 2016), Wollongon, pp 1–11

  • Pavlou PA (2001) Integrating trust in electronic commerce with the technology acceptance model: model development and validation. In: Proceedings of the 7th Americas conference on information systems, pp 816–822

  • Pavlou P (2003) Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Int J Electron Commer 7(3):101–134

    Article  Google Scholar 

  • Pease W, Rowe M (2005) Diffusion of innovation-the adoption of electronic commerce by small and medium enterprises (SMES)—a comparative analysis. Australas J Inf Syst 13(1):287–294

    Google Scholar 

  • Pirjan A, Petrosanu D-M, Huth M, Negoita M (2015) Research issues regarding the Bitcoin and alternative coins digital currencies. https://ideas.repec.org/a/rau/journl/v9y2015i1p199-212.html. Accessed 24 Mar 2018

  • Polasik M, Piotrowska AI, Wisniewski TP et al (2015) Price fluctuations and the use of Bitcoin: an empirical inquiry. Int J Electron Commer 20(1):9–49

    Article  Google Scholar 

  • Rangaswamy A, Gupta S (2000) Innovation adoption and diffusion in the digital environment: some research opportunities. In: Mahajan V, Muller E, Wind Y (eds) New product diffusion models. Kluwer Academic, Boston, pp 75–96

    Google Scholar 

  • Rapoza K (2017) Five impediments to further adoption of Bitcoin. https://www.forbes.com/sites/kenrapoza/2017/12/21/five-impediments-to-further-adoption-of-Bitcoin/#18fda71d5398. Accessed 6 Jun 2018

  • Redžović M, Novaković J (2016) The impact of virtual money on e-commerce. In: International scientific conference on ICT and e-business related research, Sinteza, pp 474–478

  • Roca JC, Chiu C-M, Martinez FJ (2006) Understanding e-learning continuance intention: an extension of the technology acceptance model. Int J Hum Comput Stud 64(8):683–696

    Article  Google Scholar 

  • Rogers EM (1962) Diffusion of innovation, 1st edn. The Free Press, New York

    Google Scholar 

  • Rogers EM (1995) Diffusion of innovation, 4th edn. The Free Press, New York

    Google Scholar 

  • Ron D, Shamir A (2013) Quantitative analysis of anonymity in the Bitcoin transaction graph. In: International conference on financial cryptography and data security. Springer, Berlin, pp 6–24

    Chapter  Google Scholar 

  • Rosseel Y (2012) lavaan: an R package for structural equation modeling. J Stat Softw 48(2):1–36

    Article  Google Scholar 

  • Saito T (2015) Bitcoin: a search-theoretic approach. Int J Innov Digit Econ 6(2):52–71

    Article  Google Scholar 

  • Salisbury WD, Pearson RA, Pearson AW, Miller DW (2001) Perceived security and World Wide Web purchase intention. Ind Manag Data Syst 101(4):165–177

    Article  Google Scholar 

  • Schwarz A, Junglas IA, Krotov V, Chin WW (2004) Exploring the role of experience and compatibility in using mobile technologies. Inf Syst E-bus Manag 2(4):337–356

    Article  Google Scholar 

  • Seligman L (2000) Adoption as sense making: toward an adopter-centered process model of IT adoption. In: Proceedings of the 21st international conference on information systems, Brisbane, pp 361–370

  • Shadab HB (2014) Regulating Bitcoin and block chain derivatives. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2508707. Accessed 6 Apr 2018

  • Sigala M, Airey D, Jones P, Lockwood A (2000) The diffusion and application of multimedia technologies in the tourism and hospitality industries. In: Fesenmaier DR, Klein S, Buhalis D (eds) Information and communication technologies in tourism 2000. Springer, Vienna, pp 396–407

    Chapter  Google Scholar 

  • Silinskyte J (2014) Understanding Bitcoin adoption: unified theory of acceptance and use of technology (UTAUT) application. Master thesis, Leiden Institute of Advanced Computer Science (LIACS)

  • Smyth L (2013) Overview of Bitcoin community. https://spacedruiddotcom.wordpress.com/2013/04/13/overview-of-Bitcoin-community-survey-feb-mar-2013/. Accessed 18 Sept 2014

  • Sompolinsky Y, Zohar A (2013) Accelerating Bitcoin’s transaction processing. Fast money grows on trees, not chains. Technical report, Hebrew University of Jerusalem

  • Stokes R (2012) Virtual money laundering: the case of Bitcoin and the Linden dollar. Inf Commun Technol Law 21(3):221–236

    Article  Google Scholar 

  • Stroborn K, Heitmann A, Leibold K, Frank G (2004) Internet payments in Germany: a classificatory framework and empirical evidence. J Bus Res 57(12):1431–1437

    Article  Google Scholar 

  • Swartz ND (2014) Bursting the Bitcoin bubble: the case to regulate digital currency as a security or commodity. Tul J Tech Intell Prop 17:319–329

    Google Scholar 

  • Tasca P (2016) The dual nature of Bitcoin as payment network and money. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2805003. Accessed 13 Jan 2017

  • Tatnall A, Burgess S (2004) Using actor-network theory to identify factors affecting the adoption of e-commerce in SMEs. In: Singh M, Waddell D (eds) E-business innovation and change management. Idea Group Publishing, Hershey, pp 152–169

    Chapter  Google Scholar 

  • Taylor S, Todd P (1995a) Assessing IT usage: the role of prior experience. MIS Q 19(4):561–570

    Article  Google Scholar 

  • Taylor S, Todd PA (1995b) Understanding information technology usage: a test of competing models. Inf Syst Res 6(2):144–176

    Article  Google Scholar 

  • Teigland R, Yetis Z, Larsson T (2013) Breaking out of the bank in Europe exploring collective emergent institutional entrepreneurship through Bitcoin. SSRN. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2263707. Accessed 3 Apr 2016

  • Tornatzky LG, Klein KJ (1982) Innovation characteristics and innovation adoption–implementation: a meta-analysis of findings. IEEE Trans Eng Manag EM 29(1):28–45

    Article  Google Scholar 

  • Tsiakis T, Sthephanides G (2005) The concept of security and trust in electronic payments. Comput Secur 24(1):10–15

    Article  Google Scholar 

  • Van Alstyne M (2014) Why Bitcoin has value. Commun ACM 57(5):30–32

    Article  Google Scholar 

  • van Wijk D (2013) What can be expected from the Bitcoin? Working paper no. 345986, Erasmus Rotterdam Universiteit

  • Vasek M, Thornton M, Moore T (2014) Empirical analysis of denial-of-service attacks in the Bitcoin ecosystem. In: International conference on financial cryptography and data security. Spinger, Berlin, pp 57–71

    Google Scholar 

  • Venkatesh V, Bala H (2008) Technology acceptance model 3 and a research agenda on interventions. Decis Sci 39(2):273–315

    Article  Google Scholar 

  • Venkatesh V, Davis FD (2000) A theoretical extension of the technology acceptance model: four longitudinal field studies. Manage Sci 46(2):186–204

    Article  Google Scholar 

  • Venkatesh V, Ramesh V (2006) Web and wireless site usability: understanding differences and modeling use. MIS Q 30(1):181–206

    Article  Google Scholar 

  • Vijayasarathy LR (2004) Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model. Inf Manag 41(6):747–762

    Article  Google Scholar 

  • Wang JC (2014) A simple macroenomic model of Bitcoin. SSRN. https://ssrn.com/abstract=2394024. Accessed 12 Apr 2018

  • Wang Y, Meister D, Wang Y (2011) Reexamining relative advantage and perceived usefulness. Int J Inf Commun Technol Educ 7(1):46–59

    Article  Google Scholar 

  • Wu JH, Wang SC (2005) What drives mobile commerce? Inf Manag 42(5):719–729

    Article  Google Scholar 

  • Zarmpou T, Saprikis V, Markos A, Vlachopoulou M (2012) Modeling users’ acceptance of mobile services. Electron Commer Res 12(2):225–248

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Emmanouil Stiakakis.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Description of the items/variables for each construct used in SEM

Construct

Item/variable

Description

Question of the survey

Perceived ease of use

v58

Ease of use

13. In case your company has adopted digital currencies as a means of transaction, which were the main reasons for adopting digital currencies?

v66

Speed of transactions

13. In case your company has adopted digital currencies as a means of transaction, which were the main reasons for adopting digital currencies?

v176

Perceived ease of use

25. How easy do you think the use of digital currency is?

Perceived usefulness

v130

Ignorance about its further utilization

19. In case your company has NOT adopted digital currencies as a means of transaction, to what extent did the following reasons affect your company’s decision?

v147

Not widespread to the general public

20. In case your company has NOT adopted digital currencies as a means of transaction, specifically which features of digital currency affected your company’s decision?

v178

Future of digital currency regarding its acceptance and use

27. In your opinion, what will the future of digital currency be, regarding its acceptance and use?

v179

Future of digital currency as a means of transaction

28. What do you think the future of digital currency as a means of transaction will be?

Perceived security

v91

Money loss due to price instability

15. In case your company has adopted digital currencies as a means of transaction, to what extent have the following problems arisen?

v174

Trust of digital currency as an effective means of transaction

23. To what extent do you trust digital currency as an effective means of transaction?

v187

Rate stabilization between digital and traditional currency

29. In what ways do you think the use of digital currency could be more widespread?

v195

Providing greater security from cyber attacks

30. Which of the following factors do you think that the creators of digital currency should take into account in order to establish it as a means of electronic payment?

Prior conditions

v46

Innovativeness

11. When your company is informed about a relevant technological innovation, how does it usually act?

v56

Control avoidance by central organizations

13. In case your company has adopted digital currencies as a means of transaction, which were the main reasons for adopting digital currencies?

v59

Freedom in payments

13. In case your company has adopted digital currencies as a means of transaction, which were the main reasons for adopting digital currencies?

v64

Low cost of transactions

13. In case your company has adopted digital currencies as a means of transaction, which were the main reasons for adopting digital currencies?

Compatibility

v83

Compatibility issues with some of the company’s systems

15. In case your company has adopted digital currencies as a means of transaction, to what extent have the following problems arisen?

v87

Governmental restrictions

15. In case your company has adopted digital currencies as a means of transaction, to what extent have the following problems arisen?

v190

Decreasing connection with computer science (cryptography, etc.)

30. Which of the following factors do you think that the creators of digital currency should take into account in order to establish it as a means of electronic payment?

v194

Providing digital currency services through banks

30. Which of the following factors do you think that the creators of digital currency should take into account in order to establish it as a means of electronic payment?

Actual Digital Currency Use

v199

Adoption or not of digital currency as a means of transaction

Please select one of the following:

 The company has adopted digital currencies as a means of transaction

 The company has NOT adopted digital currencies as a means of transaction

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roussou, I., Stiakakis, E. & Sifaleras, A. An empirical study on the commercial adoption of digital currencies. Inf Syst E-Bus Manage 17, 223–259 (2019). https://doi.org/10.1007/s10257-019-00426-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10257-019-00426-7

Keywords

Navigation