Assessment of Trust Level in Digital Economy
Viktorija Skvarciany () and
Daiva Jurevičienė
Additional contact information
Viktorija Skvarciany: Vilnius Gediminas Technical University
Daiva Jurevičienė: Vilnius Gediminas Technical University
A chapter in New Perspectives and Paradigms in Applied Economics and Business, 2023, pp 147-154 from Springer
Abstract:
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.
Keywords: Trust; E-Trust; Digital economy; Multi-criteria approach (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-031-23844-4_11
Ordering information: This item can be ordered from
http://www.springer.com/9783031238444
DOI: 10.1007/978-3-031-23844-4_11
Access Statistics for this chapter
More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().