Database.use.hdl: https://cris.mruni.eu/cris/handle/007/21529
Now showing 1 - 2 of 2
  • research article; ;
    Ginevičius, Romualdas
    ;
    Schieg, Martin
    Technological and economic development of economy. Vilnius : VGTU Press, 2018, vol. 24, iss. 4., p. 1453-1465
    This articles analyses a contemporary problem, which has not been thoroughly analysed in scientific literature – Estimation of Digital Shadow Economy through a modified MIMIC model. It is the first pilot research of such type, which allows to reveal the need of deeper data analysis and data collection. Received results show, that three causal factors (internet access, and PC availability for households, non-cash payments, placement of innovative financial instruments on a market) and three indicators (non-cash transfers through internet payment platforms, volume of payments in cryptocurrencies and parcels, which are tax free at the customs) are not enough in order to perform interpretations of economic results. Additionally, the data set should cover longer-term data, however the limitation appears due to relatively short existence of innovative financial products and the lack of information accumulation about necessary data in statistical databases.
      2  3WOS© IF 4.344WOS© AIF 2.029Scopus© SNIP 1.485
  • research article;
    Evaluation and program planning. Amsterdam : Elsevier B.V., 2017, vol. 63., p. 82-92
    The goal of the present article is to compile a corpus of indicators of eHealth development evaluation that would essentially reflect stakeholder approaches and complement technical indicators of assessment of an eHealth system. Consequently, the assessment of the development of an eHealth system would reflect stakeholder approaches and become an innovative solution in attempting to improve productivity of IT projects in the field of health care. The compiled minimum set of indicators will be designed to monitor implementation of the national eHealth information system. To ensure reliability of the quality research, the respondents were grouped in accordance to the geographical distribution and diversity of the levels and types of the represented jobs and institutions. The applied analysis implies several managerial insights on the hierarchy of eHealth indicators. These insights may be helpful in recommending priority activities in implementation of an eHealth data system on the national or international level. The research is practically useful as it is the first to deal with the topic in Lithuania and its theoretical and practical aspect are particularly relevant in implementation of an eHealth data system in Lithuania.
    WOS© IF 1.21WOS© AIF 1.559Scopus© SNIP 0.997