Abstract
In the current study, a unique dataset is used that represents the trust of households and individuals in the digital economy, so-called e-trust. On the basis of that, the level of e-trust of the selected countries is calculated. The study covers almost all EU countries and Iceland. France and Romania are excluded from the research due to missing data. A multi-criteria approach was employed to assess trust in the digital economy in a two-step procedure combining CRITIC and COPRAS techniques used for weighting and aggregation. The sample consists of 26 countries; the study is built on six indicators provided in the Eurostat ICT Trust, Security, and Privacy database. As a result, countries’ prioritisation regarding trust in the digital economy is presented. The outcomes revealed that the highest level of e-trust is in Ireland and Belgium, while in Iceland, the Netherlands, Cyprus, Germany, Luxembourg, Sweden, and Estonia, this level could be considered average.
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References
Rusak, D., Pidchosa, O., & Filipenko, A. (2021, July). Digital economic networks in the context of global transformations’, Studies of Applied Economics, 39(6). https://doi.org/10.25115/eea.v39i6.5161
von der Leyen, U. (2020). A Union that strives for more: My agenda for Europe—Political Guidelines for the next European Commission 2019–2024’, 2019. Accessed: February 25, 2020. [Online]. Available: https://bit.ly/30d4NnH
European Commission. (2020). A Europe fit for the digital age. Accessed February 25, 2020.http://bit.ly/2v6pJk9
Anser, M. K., Tabash, M. I., Nassani, A. A., Aldakhil, A. M., Yousaf, Z. (2021, June). Toward the e-loyalty of digital library users: investigating the role of e-service quality and e-trust in digital economy. Library Hi Tech, ahead-of-p(ahead-of-print). https://doi.org/10.1108/LHT-07-2020-0165
Xianbin, T., & Qiong, W. (2021, November). Sustainable digital economy through good governance: mediating roles of social reforms and economic policies. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.773022
Soleimani, M. (2021, November). Buyers’ trust and mistrust in e-commerce platforms: a synthesizing literature review. Information Systems and E-Business Management. https://doi.org/10.1007/s10257-021-00545-0
Lee, T., Lee, B. -K., Lee-Geiller, S. (2020, June). The effects of information literacy on trust in government websites: Evidence from an online experiment International Journal of Information Management, 52. 10209810.1016/j.ijinfomgt.2020.102098
Seçkin, G., Hughes, S., Yeatts, D., & Degreve, T. (2019, January). Digital pathways to positive health perceptions: does age moderate the relationship between medical satisfaction and positive health perceptions among middle-aged and older internet users?. Innovaation in Aging, 3(1). https://doi.org/10.1093/geroni/igy039
Ghazali, E. M., Mutum, D. S., Chong, J. H., Nguyen, B. (2018, November). Do consumers want mobile commerce? A closer look at M-shopping and technology adoption in Malaysia. Asia Pacific Journal of Marketing and Logistics, 30(4), 1064–1086. https://doi.org/10.1108/APJML-05-2017-0093
Abdullah, R., & Saleh, Y. (2019). Factors affecting buyers’ trust in e-commerce in Palestine. Middle East Journal Management, 6(5), 597. https://doi.org/10.1504/MEJM.2019.101923
Correa, J. C., Laverde-Rojas, H., Martínez, C. A., Camargo, O. J., Rojas-Matute, G., Sandoval-Escobar, M. (2021, September). The consistency of trust-sales relationship in Latin American E-Commerce. Journal of Internet Commerce, 1–21. https://doi.org/10.1080/15332861.2021.1975426.
Amin, M., Ryu, K., Cobanoglu, C., Nizam, A. (2021, October). Determinants of online hotel booking intentions: website quality, social presence, affective commitment, and e-trust. Journal of Hospitality Marketing and Management, 30(7), 845–870 https://doi.org/10.1080/19368623.2021
Julsrud,T. E., & Priya Uteng, T. (2021, April). Trust and sharing in online environments: A comparative study of different groups of norwegian car sharers. Sustainability, 13(8), 4170. https://doi.org/10.3390/su13084170
Miao, L., Lin, M., Wei, W., Moon, H. (2021, July). Peer regulation in a peer-to-peer business model. Journal of Hospitality and Tourism Research, 109634802110314. https://doi.org/10.1177/10963480211031421
Trabelsi-Zoghlami, A., Berraies, S., Ben Yahia, K. (2020, November). Service quality in a mobile-banking-applications context: do users’ age and gender matter?. Total Quality Management and Business Excellence, 31(15–16), 1639–1668. https://doi.org/10.1080/14783363.2018.1492874
Candra, S., Nuruttarwiyah, F., & Hapsari, I. H. (2020, October). Revisited the technology acceptance model with e-trust for peer-to-peer lending in Indonesia (perspective from fintech users). International Journal of Technology, 11(4), 710. https://doi.org/10.14716/ijtech.v11i4.4032
Eurostat. (2022). Digital economy and society. ICT trust, security and privacy. Accessed March 27, 2022.https://bit.ly/3AJ0Vf6
Eurostat. (2022). Digital Economy and Society. https://bit.ly/3AJ0Vf6. Accessed January 31, 2022.
Stankovic, J. J., Marjanovic, I., Drezgic, S., Popovic, Z. (2021). The digital competitiveness of european countries: a multiple-criteria approach. Journal of Competitiveness, 13(2), 117–134. https://doi.org/10.7441/joc.2021.02.07
Popović, G., Stanujkić, D., & Stojanović, S. (2012). Investment project selection by applying COPRAS method and imprecise data. Serbian Journal of Management, 7(2), 257–269. https://doi.org/10.5937/sjm7-2268
Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995, August). Determining objective weights in multiple criteria problems: The CRITIC method. Computers and Operations Research, 22(7), 763–770. https://doi.org/10.1016/0305-0548(94)00059-H
Wati, M., Novirasari, N., Pakpahan, H. S. (2018). Evaluation of scholarly performance student using multi-criteria decision-making with objective weight’. In 20th international electronics symposium on knowledge creation and intelligent computing (IES-KCIC) (pp. 56–61).
Dutta, S., & Lanvin, B. (Eds.). (2021). The Network Readiness Index. Portulans Institute. [Online]. Available: https://bit.ly/3HfMWQH
European Commission. (2022). The digital economy and society index (DESI), Shaping Europe’s digital future. Accessed January 31, 2022.https://digital-strategy.ec.europa.eu/en/policies/desi
Funding
This project has received funding from the European Social Fund (project No 09.3.3-LMT-K-712-19-0151) under the grant agreement with the Research Council of Lithuania (LMTLT).
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Skvarciany, V., Jurevičienė, D. (2023). Assessment of Trust Level in Digital Economy. In: Gartner, W.C. (eds) New Perspectives and Paradigms in Applied Economics and Business. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-031-23844-4_11
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