Central Bank Digital Currencies (CBDC) are being researched in academia and piloted by central banks around the world. Initial research highlights the importance of privacy concerns on adoption intention in CBDC. We took one step further and investigated the link between privacy concerns and adoption using the Chinese CBDC and digitalized version of the Yuan, the e-CNY. We integrated and applied the established Antecedent Privacy Concerns and Outcomes (APCO) model with the Task-Technology Fit model in a quantitative online-questionnaire with 682 Chinese participants to study the influence of privacy concerns on CBDC usage. The data was analyzed using partial least squares structural equation modeling (PLS-SEM) to identify significant path coefficients and effects in the developed model. The findings demonstrated that several antecedents significantly influenced privacy concerns, which in turn influenced e-CNY usage. In particular, perceived vulnerabilities impacted privacy concerns, while soft and hart trust factors were found to neither impact concerns or usage. When compared to prior research, the distinction between intention to use and usage of CBDC, under consideration of privacy concerns, seemed to be negligible. The often discussed 'privacy-paradox' could not be observed for CBDC. Observed differences in antecedents and other factors may have been due to cultural, political, and demographic factors, as well as different CBDC design choices. For practitioners, the results further emphasized the need for a privacy-friendly implementation of retail CBDC, which efficiently communicated user benefits while rebutting perceived vulnerabilities.
Citation: Frédéric Tronnier, Weihua Qiu. How do privacy concerns impact actual adoption of central bank digital currency? An investigation using the e-CNY in China[J]. Quantitative Finance and Economics, 2024, 8(1): 126-152. doi: 10.3934/QFE.2024006
Central Bank Digital Currencies (CBDC) are being researched in academia and piloted by central banks around the world. Initial research highlights the importance of privacy concerns on adoption intention in CBDC. We took one step further and investigated the link between privacy concerns and adoption using the Chinese CBDC and digitalized version of the Yuan, the e-CNY. We integrated and applied the established Antecedent Privacy Concerns and Outcomes (APCO) model with the Task-Technology Fit model in a quantitative online-questionnaire with 682 Chinese participants to study the influence of privacy concerns on CBDC usage. The data was analyzed using partial least squares structural equation modeling (PLS-SEM) to identify significant path coefficients and effects in the developed model. The findings demonstrated that several antecedents significantly influenced privacy concerns, which in turn influenced e-CNY usage. In particular, perceived vulnerabilities impacted privacy concerns, while soft and hart trust factors were found to neither impact concerns or usage. When compared to prior research, the distinction between intention to use and usage of CBDC, under consideration of privacy concerns, seemed to be negligible. The often discussed 'privacy-paradox' could not be observed for CBDC. Observed differences in antecedents and other factors may have been due to cultural, political, and demographic factors, as well as different CBDC design choices. For practitioners, the results further emphasized the need for a privacy-friendly implementation of retail CBDC, which efficiently communicated user benefits while rebutting perceived vulnerabilities.
| [1] |
Abugabah A, Sanzogni L, Alfarraj O (2015) Evaluating the impact of ERP systems in higher education. Int J Inf Learn Technol 32: 45–64. https://doi.org/10.1108/IJILT-10-2013-0058 doi: 10.1108/IJILT-10-2013-0058
|
| [2] |
Ajzen I (1991) The theory of planned behavior. Organ Behav Hum Dec. https://doi.org/10.1016/0749-5978(91)90020-T doi: 10.1016/0749-5978(91)90020-T
|
| [3] | Ajzen I, Fishbein M (1980) Understanding attitudes and predicting social behaviour. New Jersey: Prentice-Hall. Englewood Cliffs, 50. |
| [4] | Akkaya C, Wolf P, Krcmar H (2010) The Role of Trust in E-Government Adoption: A Literature Review. AMCIS 2010 Proceedings. Available from: https://aisel.aisnet.org/amcis2010/297. |
| [5] |
Al-Amri R, Zakaria NH, Habbal A, et al. (2019) Cryptocurrency adoption: current stage, opportunities, and open challenges. Int J Adv Comp Res 9: 293–307. https://doi.org:10.19101/IJACR.PID43 doi: 10.19101/IJACR.PID43
|
| [6] |
Alashoor T, Han S, Joseph RC (2017) Familiarity with big data, privacy concerns, and self-disclosure accuracy in social networking websites: An APCO model. Commun Assoc Inf Sys 41: 62–96. https://doi.org/10.17705/1cais.04104 doi: 10.17705/1cais.04104
|
| [7] | Allen S, Čapkun S, Zhang F, et al. (2020) Design Choices for Central Bank Digital Currency: Policy and Technical Considerations. NBER WORKING PAPER SERIES. |
| [8] |
Alonso SLN (2023) Can Central Bank Digital Currencies be green and sustainable? Green Financ 5: 603–623. https://doi.org/10.3934/GF.2023023 doi: 10.3934/GF.2023023
|
| [9] | Alzahrani S, Daim TU (2019) Analysis of the cryptocurrency adoption decision: Literature review. PICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings. https://doi.org/10.23919/PICMET.2019.8893819 |
| [10] |
Angino S, Ferrara FM, Secola S (2021) The cultural origins of institutional trust: The case of the European Central Bank. Eur Union Politics. https://doi.org/10.1177/14651165211048325 doi: 10.1177/14651165211048325
|
| [11] | Auer R, Böhme R (2020) The technology of retail central bank digital currency. BIS Q Rev, 85–100. |
| [12] |
Auer R, Böhme R, Clark J, et al. (2023) Mapping the Privacy Landscape for Central Bank Digital Currencies. Commun ACM 66: 46–53. https://doi.org/10.1145/3579316 doi: 10.1145/3579316
|
| [13] | Auer R, Cornelli G, Frost J (2020) Rise of the central bank digital currencies: drivers, approaches and technologies. BIS Working Papers 880. |
| [14] |
Auer R, Frost J, Gambacorta L, et al. (2021) Central Bank Digital Currencies: Motives, Economic Implications and the Research Frontier. Ann Rev Econ. https://doi.org/10.2139/SSRN.3922836 doi: 10.2139/SSRN.3922836
|
| [15] | Bai X (2020) Examining factors influencing behavioral intention to adopt centralized digital currencies (CDC): An empirical study based on the integrated model of UTAUT2 and TPB. |
| [16] |
Barnes SB (2006) A privacy paradox: Social networking in the United States. First Monday. https://doi.org/10.5210/fm.v11i9.1394 doi: 10.5210/fm.v11i9.1394
|
| [17] |
Baronchelli A, Halaburda H, Teytelboym A (2022) Central bank digital currencies risk becoming a digital Leviathan. Nature Hum Behav 6: 907–909. https://doi.org/10.1038/s41562-022-01404-9 doi: 10.1038/s41562-022-01404-9
|
| [18] | Bech M, Garratt R (2017) Central bank cryptocurrencies. BIS Q Rev, 55–70. |
| [19] |
Bélanger F, Crossler RE (2011) Privacy in the Digital Age: A Review of Information Privacy Research in Information Systems. MIS Q 35. https://doi.org/10.2307/41409971 doi: 10.2307/41409971
|
| [20] |
Benamati JH, Ozdemir ZD, Smith HJ (2017) An empirical test of an Antecedents - Privacy Concerns - Outcomes model. J Inf Sci 43: 583–600. https://doi.org/10.1177/0165551516653590 doi: 10.1177/0165551516653590
|
| [21] |
Berggren N, Daunfeldt SO, Hellström J (2014) Social trust and central-bank independence. Eur J Polit Econ 34: 425–439. https://doi.org/10.1016/J.EJPOLECO.2013.10.002 doi: 10.1016/J.EJPOLECO.2013.10.002
|
| [22] |
Bhatiasevi V (2016) An extended UTAUT model to explain the adoption of mobile banking. Inf Dev 32: 799–814. https://doi.org/10.1177/0266666915570764 doi: 10.1177/0266666915570764
|
| [23] |
Bijlsma M, van der Cruijsen C, Jonker N, et al. (2021) What triggers consumer adoption of CBDC? SSRN Electronic J, 709. https://doi.org/10.2139/ssrn.3836440 doi: 10.2139/ssrn.3836440
|
| [24] | Bossu W, Itatani M, Margulis C, et al. (2021) Legal Aspects of Central Bank Digital Currency: Central Bank and Monetary Law Considerations. https://doi.org/10.2139/ssrn.3758088 |
| [25] | Brunner K, Meltzer A, Brunner K, et al. (1971) The Uses of Money: Money in the Theory of an Exchange Economy. Am Econ Rev 61: 784–805. |
| [26] |
Bursian D, Fürth S (2015) Trust Me! I am a European Central Banker. J Money Credit Bank 47: 1503–1530. https://doi.org/10.1111/jmcb.12282 doi: 10.1111/jmcb.12282
|
| [27] |
Cheng P (2023) Decoding the rise of Central Bank Digital Currency in China: designs, problems, and prospects. J Bank Regul 24: 156–170. https://doi.org/10.1057/S41261-022-00193-5 doi: 10.1057/S41261-022-00193-5
|
| [28] |
Chin AG, Harris MA, Brookshire R (2022) An Empirical Investigation of Intent to Adopt Mobile Payment Systems Using a Trust-based Extended Valence Framework. Inf Sys Front 24: 329–347. https://doi.org/10.1007/s10796-020-10080-x doi: 10.1007/s10796-020-10080-x
|
| [29] |
Compeau DR, Higgins CA (1995) Computer self-efficacy: Development of a measure and initial test. MIS Q: Manage Inf Sys 19: 189–210. https://doi.org/10.2307/249688 doi: 10.2307/249688
|
| [30] |
Culnan MJ (1993) "How did they get my name?": An exploratory investigation of consumer attitudes toward secondary information use. MIS Q: Manage Inf Sys 17: 341–361. https://doi.org/10.2307/249775 doi: 10.2307/249775
|
| [31] |
Culnan MJ, Armstrong PK (1999) Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation. Organ Sci 10: 104–115. https://doi.org/10.1287/orsc.10.1.104 doi: 10.1287/orsc.10.1.104
|
| [32] |
Dang VT, Nguyen N, Nguyen HV, et al. (2022) Consumer attitudes toward facial recognition payment: an examination of antecedents and outcomes. Int J Bank Mark 40: 511–535. https://doi.org/10.1108/IJBM-04-2021-0135 doi: 10.1108/IJBM-04-2021-0135
|
| [33] |
Dash G, Paul J (2021) CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting. Technol Forecast Social Change 173. https://doi.org/10.1016/J.TECHFORE.2021.121092 doi: 10.1016/J.TECHFORE.2021.121092
|
| [34] |
Davis F (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q 13: 319. https://doi.org/10.2307/249008 doi: 10.2307/249008
|
| [35] |
De Kerviler G, Demoulin NTM, Zidda P (2016) Adoption of in-store mobile payment: Are perceived risk and convenience the only drivers? J Retail Consum Serv 31: 334–344. https://doi.org/10.1016/j.jretconser.2016.04.011 doi: 10.1016/j.jretconser.2016.04.011
|
| [36] |
Dinev T, Hart P (2004) Internet privacy concerns and their antecedents -measurement validity and a regression model. Behav Inf Technol 23: 413–422. https://doi.org/10.1080/01449290410001715723 doi: 10.1080/01449290410001715723
|
| [37] |
Dinev T, Hart P (2006) An extended privacy calculus model for e-commerce transactions. Inf Syst Res 17: 61–80. https://doi.org/10.1287/isre.1060.0080 doi: 10.1287/isre.1060.0080
|
| [38] | Dinev T, Hart P, Dinev T, et al. (2006) An Extended Privacy Calculus Model for E-Commerce Transactions an Extended Privacy Calculus Model for E-Commerce Transactions. https://doi.org/10.1287/isre.1060.0080 |
| [39] |
Dogan A, Bicakci K (2023) KAIME : Central Bank Digital Currency with Realistic and Modular Privacy. Cryptology EPrint Archive. https://doi.org/10.5220/0012308600003648 doi: 10.5220/0012308600003648
|
| [40] | Esmaeilzadeh P, Subramanian H, Cousins K (2019) Individuals' Cryptocurrency Adoption: A Proposed Moderated-Mediation Model. Americas Conference on Information Systems (AMCIS), 25th. Available from: https://aisel.aisnet.org/amcis2019/adoption_diffusion_IT/adoption_diffusion_IT/1/ |
| [41] | European Central Bank (2020) Report on a digital euro (Issue October). Available from: https://www.ecb.europa.eu/pub/pdf/other/Report_on_a_digital_euro~4d7268b458.en.pdf. |
| [42] | European Central Bank (2021) Eurosystem report on the public consultation on a digital euro (Issue April). Available from: https://www.ecb.europa.eu/pub/pdf/other/Eurosystem_report_on_the_public_consultation_on_a_digital_euro~539fa8cd8d.en.pdf. |
| [43] | European Central Bank (2022) Progress on the investigation phase of a digital euro. |
| [44] | European Commission (2023) Proposal for a REGULATION OF THE EUROPEAN PARLIAMENT AND OF THE COUNCIL on the establishment of the digital euro. Available from: https://eur-lex.europa.eu/legal-content/EN/TXT/?uri = CELEX: 52023PC0369. |
| [45] |
Fang W, Liu N, Pan Q, et al. (2023) The trilateral game of privacy perception, financial regulation and central bank digital currency issuance. J Account Bus Financ Res 16: 44–52. https://doi.org/10.55217/102.v16i2.644 doi: 10.55217/102.v16i2.644
|
| [46] |
Featherman MS, Miyazaki AD, Sprott DE (2010) Reducing online privacy risk to facilitate e-service adoption: The influence of perceived ease of use and corporate credibility. J Serv Mark 24: 219–229. https://doi.org/10.1108/08876041011040622 doi: 10.1108/08876041011040622
|
| [47] |
Featherman MS, Pavlou PA (2003) Predicting e-services adoption: A perceived risk facets perspective. Int J Hum Comput Stud 59: 451–474. https://doi.org/10.1016/S1071-5819(03)00111-3 doi: 10.1016/S1071-5819(03)00111-3
|
| [48] |
Gerber N, Gerber P, Volkamer M (2018) Explaining the privacy paradox: A systematic review of literature investigating privacy attitude and behavior. Comput Secur 77: 226–261. https://doi.org/10.1016/j.cose.2018.04.002 doi: 10.1016/j.cose.2018.04.002
|
| [49] |
Goodell G, Al-Nakib H, Tasca P (2021) A digital currency architecture for privacy and owner custodianship. Future Int 13: 130. https://doi.org/10.3390/fi13050130 doi: 10.3390/fi13050130
|
| [50] |
Goodhue DL, Thompson RL (1995) Task-technology fit and individual performance. MIS Q Manage Inf Syst 19: 213–233. https://doi.org/10.2307/249689 doi: 10.2307/249689
|
| [51] |
Gross J, Sedlmeir J, Babel M, et al. (2021) Designing a Central Bank Digital Currency with Support for Cash-Like Privacy. SSRN Electron J. https://doi.org/10.2139/ssrn.3891121 doi: 10.2139/ssrn.3891121
|
| [52] |
Hair J, Ringle CM, Sarstedt M (2011) PLS-SEM: Indeed a Silver Bullet. J Market Theory Pract 19: 139–152. https://doi.org/10.2753/MTP1069-6679190202 doi: 10.2753/MTP1069-6679190202
|
| [53] |
Hajli N, Lin X (2016) Exploring the Security of Information Sharing on Social Networking Sites: The Role of Perceived Control of Information. J Bus Ethics 133: 111–123. https://doi.org/10.1007/S10551-014-2346-X doi: 10.1007/S10551-014-2346-X
|
| [54] |
Hallam C, Zanella G (2017) Online self-disclosure: The privacy paradox explained as a temporally discounted balance between concerns and rewards. Comput Hu Behav 68: 217–227. https://doi.org/10.1016/J.CHB.2016.11.033 doi: 10.1016/J.CHB.2016.11.033
|
| [55] |
Harborth D, Pape S (2021) Investigating Privacy Concerns Related to Mobile Augmented Reality Apps – A Vignette Based Online Experiment. Comput Hum Behav 122: 106833. https://doi.org/10.1016/j.chb.2021.106833. doi: 10.1016/j.chb.2021.106833
|
| [56] |
Hassan LM, Shiu E, Shaw D (2016) Who Says There is an Intention–Behaviour Gap? Assessing the Empirical Evidence of an Intention–Behaviour Gap in Ethical Consumption. J Bus Ethics 136: 219–236. https://doi.org/10.1007/S10551-014-2440-0 doi: 10.1007/S10551-014-2440-0
|
| [57] |
Henseler J, Ringle CM, Sarstedt M (2015) A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acade Market Sci 43: 115–135. https://doi.org/10.1007/s11747-014-0403-8 doi: 10.1007/s11747-014-0403-8
|
| [58] | Huang H, Li X (2023) China's Pursuit of Central Bank Digital Currency: Reasons, Prospects and Implications. Bank Financ Law Rev 39. https://papers.ssrn.com/abstract = 4566641 |
| [59] |
Huang M, Ren Y, Wang X, et al. (2023) What affects the use of smartphones by the elderly? A hybrid survey from China. National Account Rev 5: 245–260. https://doi.org/10.3934/NAR.2023015 doi: 10.3934/NAR.2023015
|
| [60] |
Jabbar A, Geebren A, Hussain Z, et al. (2023) Investigating individual privacy within CBDC: A privacy calculus perspective. Res Int Bus Financ 64: 101826. https://doi.org/10.1016/j.ribaf.2022.101826 doi: 10.1016/j.ribaf.2022.101826
|
| [61] | Kimmerl J (2020) Understanding Users' Perception on the Adoption of Stablecoins - The Libra Case. PACIS 2020 Proceedings. Available from: https://aisel.aisnet.org/pacis2020/187 |
| [62] |
Kokolakis S (2017) Privacy attitudes and privacy behaviour: A review of current research on the privacy paradox phenomenon. Comput Security 64: 122–134. https://doi.org/10.1016/J.COSE.2015.07.002 doi: 10.1016/J.COSE.2015.07.002
|
| [63] | Kosse A, Mattei I (2023) Making headway - Results of the 2022 BIS survey on central bank digital currencies and crypto. https://www.bis.org. |
| [64] |
Lee DKC, Shih CM, Zheng J, et al. (2023) Asian CBDCs on the rise: An in-depth analysis of developments and implications. Quant Financ Econ 7: 665–696. https://doi.org/10.3934/QFE.2023032 doi: 10.3934/QFE.2023032
|
| [65] |
Lee DKC, Yan L, Wang Y (2021) A global perspective on central bank digital currency. China Econ J 14: 52–66. https://doi.org/10.1080/17538963.2020.1870279 doi: 10.1080/17538963.2020.1870279
|
| [66] |
Lee SG, Trimi S, Kim C (2013) The impact of cultural differences on technology adoption. J World Bus 48: 20–29. https://doi.org/10.1016/J.JWB.2012.06.003 doi: 10.1016/J.JWB.2012.06.003
|
| [67] |
Lee Y, Son B, Park S, et al. (2021) A survey on security and privacy in blockchain-based central bank digital currencies. J Int Serv Inf Secur 11: 16–29. https://doi.org/10.22667/JISIS.2021.08.31.016 doi: 10.22667/JISIS.2021.08.31.016
|
| [68] |
Li Y (2011) Empirical Studies on Online Information Privacy Concerns: Literature Review and an Integrative Framework. Commun Assoc Inf Syst 28. https://doi.org/10.17705/1CAIS.02828 doi: 10.17705/1CAIS.02828
|
| [69] |
Li Z, Yang C, Huang Z (2022) How does the fintech sector react to signals from central bank digital currencies? Financ Res Lett 50: 103308. https://doi.org/10.1016/J.FRL.2022.103308 doi: 10.1016/J.FRL.2022.103308
|
| [70] |
Lin J, Lu Y, Wang B, et al. (2011) The role of inter-channel trust transfer in establishing mobile commerce trust. Electron Comm Res Appl 10: 615–625. https://doi.org/10.1016/j.elerap.2011.07.008 doi: 10.1016/j.elerap.2011.07.008
|
| [71] |
Lin WS, Wang CH (2012) Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Comput Edu 58: 88–99. https://doi.org/10.1016/J.COMPEDU.2011.07.008 doi: 10.1016/J.COMPEDU.2011.07.008
|
| [72] |
Maddux JE, Rogers RW (1983) Protection motivation and self-efficacy: A revised theory of fear appeals and attitude change. J Exp Social Psychology 19: 469–479. https://doi.org/10.1016/0022-1031(83)90023-9 doi: 10.1016/0022-1031(83)90023-9
|
| [73] |
Malhotra NK, Kim SS, Agarwal J (2004) Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Inf Syst Res 15: 336–355. https://doi.org/10.1287/isre.1040.0032 doi: 10.1287/isre.1040.0032
|
| [74] |
Miltgen CL, Peyrat-Guillard D (2014) Cultural and generational influences on privacy concerns: A qualitative study in seven European countries. Eur J Inf Syst 23: 103–125. https://doi.org/10.1057/ejis.2013.17 doi: 10.1057/ejis.2013.17
|
| [75] | Nissenbaum H (2010) Privacy in Context: Technology, Policy and the Integrity of Social Life. Stanford University Pres. |
| [76] |
Ozdemir ZD, Jeff Smith H, Benamati JH (2017) Antecedents and outcomes of information privacy concerns in a peer context: An exploratory study. Eur J Inf Syst 26: 642–660. https://doi.org/10.1057/s41303-017-0056-z doi: 10.1057/s41303-017-0056-z
|
| [77] |
Patton MA, Jøsang A (2004) Technologies for Trust in Electronic Commerce. Electron Comm Res 4: 9–21. https://doi.org/10.1023/B:ELEC.0000009279.89570.27 doi: 10.1023/B:ELEC.0000009279.89570.27
|
| [78] |
Pavlou PA (2003) Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. Int J Electron Comm 7: 101–134. https://doi.org/10.1080/10864415.2003.11044275 doi: 10.1080/10864415.2003.11044275
|
| [79] |
Pavlou PA, Fygenson M (2006) Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior. MIS Q Manage Inf Syst 30: 115–143. https://doi.org/10.2307/25148720 doi: 10.2307/25148720
|
| [80] | Pavlou PA, Gefen D (2005) Psychological Contract Violation in Online Marketplaces: Antecedents, Consequences, and Moderating Role. 16: 372–399. https://doi.org/10.1287/ISRE.1050.0065 |
| [81] | People's Bank of China (2021) Progress of e-CNY in China. |
| [82] |
Pocher N, Veneris A (2021) Privacy and Transparency in CBDCs: A Regulation-by-Design AML/CFT Scheme. SSRN Electron J, 1–9. https://doi.org/10.2139/ssrn.3759144 doi: 10.2139/ssrn.3759144
|
| [83] |
Ramos-de-Luna I, Montoro-Ríos F, Liébana-Cabanillas F (2016) Determinants of the intention to use NFC technology as a payment system: an acceptance model approach. Inf Syst E-Bus Manage 14: 293–314. https://doi.org/10.1007/s10257-015-0284-5 doi: 10.1007/s10257-015-0284-5
|
| [84] | Raymaekers W (2015) Cryptocurrency Bitcoin: Disruption, challenges and opportunities. J Payments Strat Syst 9: 30–46. |
| [85] |
Sarstedt M, Ringle CM, Hair JF (2017) Partial Least Squares Structural Equation Modeling. Handbook Market Res, 1–40. https://doi.org/10.1007/978-3-319-05542-8_15-1 doi: 10.1007/978-3-319-05542-8_15-1
|
| [86] |
Sauer B (2016) Virtual currencies, the money market, and monetary policy. Int Adv Econ Res 22: 117–130. https://doi.org/10.1007/s11294-016-9576-x doi: 10.1007/s11294-016-9576-x
|
| [87] |
Schueffel P (2023) CBDCs: Pros and Cons - A Comprehensive List and Discussion of the Advantages and Disadvantages of Central Bank Digital Currency. SSRN Electron J. https://doi.org/10.2139/SSRN.4398748 doi: 10.2139/SSRN.4398748
|
| [88] | Sharma S (1991) Behind the Diffusion Curve: An Analysis of ATM ADoption. |
| [89] |
Sheeran P, Webb TL (2016) The Intention-Behavior Gap. Social Pers Psychology Compass 10: 503–518. https://doi.org/10.1111/SPC3.12265 doi: 10.1111/SPC3.12265
|
| [90] |
Smith HJ, Dinev T, Xu H (2011) Information privacy research: an interdisciplinary review. MIS Q, 989–1015. https://doi.org/10.2307/41409970 doi: 10.2307/41409970
|
| [91] |
Smith HJ, Milberg SJ, Burke SJ (1996). Information privacy: Measuring individuals' concerns about organizational practices. MIS Q, 167–196. https://doi.org/10.2307/249477 doi: 10.2307/249477
|
| [92] |
Sohaib O, Hussain W, Asif M, et al. (2020) A PLS-SEM Neural Network Approach for Understanding Cryptocurrency Adoption. IEEE Access 8: 13138–13150. https://doi.org/10.1109/ACCESS.2019.2960083 doi: 10.1109/ACCESS.2019.2960083
|
| [93] |
Solberg Söilen K, Benhayoun L (2022) Household acceptance of central bank digital currency: the role of institutional trust. Int J Bank Mark 40: 172–196. https://doi.org/10.1108/IJBM-04-2021-0156 doi: 10.1108/IJBM-04-2021-0156
|
| [94] |
Stoica M, Miller DW, Stotlar D (2005) New Technology Adoption, Business Strategy and Government Involvement: The Case of Mobile Commerce. J Nonprofit Public Sector Mark 13: 213–232. https://doi.org/10.1300/J054V13N01_12 doi: 10.1300/J054V13N01_12
|
| [95] |
Su P, Wang L, Yan J (2018) How users' Internet experience affects the adoption of mobile payment: a mediation model. Technol Anal Strat Manage 30: 186–197. https://doi.org/10.1080/09537325.2017.1297788 doi: 10.1080/09537325.2017.1297788
|
| [96] | Sun T, Rizaldy R (2023) Some Lessons from Asian E-Money Schemes for the Adoption of Central Bank Digital Currency. IMF Working Paper 2023/123. https://doi.org/10.5089/9798400245565.001 |
| [97] |
Tavakol M, Dennick R (2011) Making sense of Cronbach's alpha. Int J Medical Edu 53. https://doi.org/10.5116/IJME.4DFB.8DFD doi: 10.5116/IJME.4DFB.8DFD
|
| [98] | Tronnier F, Biker P (2022) A Framework and Qualitative Evaluation of Privacy Concerns in the Digital Euro. PACIS 2022 Proceedings. Available from: https://aisel.aisnet.org/pacis2022/63. |
| [99] |
Tronnier F, Harborth D, Biker P (2023) Applying the extended attitude formation theory to central bank digital currencies. Electron Mark 33: 1–21. https://doi.org/10.1007/S12525-023-00638-3 doi: 10.1007/S12525-023-00638-3
|
| [100] |
Tronnier F, Harborth D, Hamm P (2022) Investigating privacy concerns and trust in the digital Euro in Germany. Electron Comm Res Appl 53: 101158. https://doi.org/DOI:10.1016/j.elerap.2022.101158 doi: 10.1016/j.elerap.2022.101158
|
| [101] |
Tsai HYS, Jiang M, Alhabash S, et al. (2016) Understanding online safety behaviors: A protection motivation theory perspective. Comput Security 59: 138–150. https://doi.org/10.1016/j.cose.2016.02.009 doi: 10.1016/j.cose.2016.02.009
|
| [102] |
Venkatesh V, Davis FD (2000) A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Manage Sci 46: 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926 doi: 10.1287/mnsc.46.2.186.11926
|
| [103] |
Venkatesh V, Morris M, Davis G, et al. (2003) User acceptance of information technology: Toward a unified view. MIS Q Manage Inf Syst 27. https://doi.org/10.2307/30036540 doi: 10.2307/30036540
|
| [104] |
Venkatesh V, Thong JYL, Yu X (2012) Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1. MIS Q Manage Inf Syst 36. https://doi.org/10.1088/1751-8113/44/8/085201 doi: 10.1088/1751-8113/44/8/085201
|
| [105] | Wadsworth A (2018) The pros and cons of issuing a central bank digital currency. Reserve Bank New Zealand Bull 81: 1–21. |
| [106] |
Wang YR, Ma CQ, Ren YS (2022) A model for CBDC audits based on blockchain technology: Learning from the DCEP. Res Int Bus Financ, 101781. https://doi.org/10.1016/j.ribaf.2022.101781 doi: 10.1016/j.ribaf.2022.101781
|
| [107] |
Warren SD, Brandeis LD (1890) The Right to Privacy. Harvard Law Rev 4: 193. https://doi.org/10.2307/1321160 doi: 10.2307/1321160
|
| [108] | Westin AF (1967) Privacy and Freedom. Antheneum. |
| [109] |
Wonneberger ET, Mieg HA (2011) Trust in money: hard, soft and idealistic factors in Euro, gold and German community currencies. J Sust Financ Invest 1: 230–240. https://doi.org/10.1080/20430795.2012.655891 doi: 10.1080/20430795.2012.655891
|
| [110] |
Wu B, An X, Wang C, et al. (2022) Extending UTAUT with national identity and fairness to understand user adoption of DCEP in China. Sci Report 12: 1–11. https://doi.org/10.1038/s41598-022-10927-0 doi: 10.1038/s41598-022-10927-0
|
| [111] |
Xia H, Gao Y, Zhang JZ (2023) Understanding the adoption context of China's digital currency electronic payment. Financial Innovation 9: 1–27. https://doi.org/10.1186/S40854-023-00467-5 doi: 10.1186/S40854-023-00467-5
|
| [112] |
Xu J (2022) Developments and Implications of Central Bank Digital Currency: The Case of China e-CNY. Asian Econ Policy Rev 17: 235–250. https://doi.org/10.1111/AEPR.12396 doi: 10.1111/AEPR.12396
|
| [113] |
Yang J, Zhou G (2022) A study on the influence mechanism of CBDC on monetary policy: An analysis based on e-CNY. PLOS ONE 17. https://doi.org/10.1371/JOURNAL.PONE.0268471 doi: 10.1371/JOURNAL.PONE.0268471
|
| [114] | Zarifis A, Cheng X, Dimitriou S, Efthymiou L (2015) Trust in Digital Currency Enabled Transactions Model. MCIS 2015 Proceedings. |
| [115] |
Zhou T, Lu Y, Wang, B. (2010) Integrating TTF and UTAUT to explain mobile banking user adoption. Comput Hum Behav 26: 760–767. https://doi.org/10.1016/j.chb.2010.01.013 doi: 10.1016/j.chb.2010.01.013
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Figures(1) / Tables(3)
Frédéric Tronnier, Weihua Qiu. How do privacy concerns impact actual adoption of central bank digital currency? An investigation using the e-CNY in China[J]. Quantitative Finance and Economics, 2024, 8(1): 126-152. doi: 10.3934/QFE.2024006
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