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Analysis of the Impact of the GDPR on Third-Party Risk Management Programs and Related Recommendations for Domestic as Well as International Corporate World

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31120%2F20%3A00055001" target="_blank" >RIV/61384399:31120/20:00055001 - isvavai.cz</a>

  • Result on the web

    <a href="http://redfame.com/journal/index.php/bms/article/view/4683" target="_blank" >http://redfame.com/journal/index.php/bms/article/view/4683</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.11114/bms.v6i1.4683" target="_blank" >10.11114/bms.v6i1.4683</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Analysis of the Impact of the GDPR on Third-Party Risk Management Programs and Related Recommendations for Domestic as Well as International Corporate World

  • Original language description

    Main topics of the document: business company (corporation); compliance; IT and information security; statutory body; risk management; general data protection regulation (GDPR); supplier (vendor)

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • CEP classification

  • OECD FORD branch

    50501 - Law

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2020

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Business and Management Studies

  • ISSN

    2374-5916

  • e-ISSN

    2374-5924

  • Volume of the periodical

    6

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    11

  • Pages from-to

    1-11

  • UT code for WoS article

  • EID of the result in the Scopus database