IDEAS home Printed from https://ideas.repec.org/a/rom/rampas/v2018y2018i31p132-142.html
   My bibliography  Save this article

Data Governance And Automated Individual Decision-Making In The Digital Privacy General Data Protection Regulation

Author

Listed:
  • George LAZAROIU

    (The Cognitive Labor Institute, New York City, USA; Associate Professor PhD, Spiru Haret University, Bucharest, Romania)

  • Maria KOVACOVA

    (Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Zilina, Slovak Republic)

  • Jana KLIESTIKOVA

    (Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Zilina, Slovak Republic)

  • Pavol KUBALA

    (Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Zilina, Slovak Republic)

  • Katarina VALASKOVA

    (Department of Economics, Faculty of Operation and Economics of Transport and Communications, University of Zilina, Zilina, Slovak Republic)

  • Victor V. DENGOV

    (Department of Economics and Economic Policy, Faculty of Economics, Saint Petersburg State University, Saint Petersburg, The Russian Federation)

Abstract

This article reviews and advances existing relevant literature concerning online data privacy. Using data from Adobe/Edelman Berland, Econsultancy /Demographics and Technology Adoption report, Flash Eurobarometer, HubSpot, MarketingCharts, Pew Research Center, Spiceworks, Statista, Talend, and TrustArc, we performed analyses and made estimates regarding actions organizations aim to take to lay the groundwork for the General Data Protection Regulation (GDPR), the proportion of executives whose corporations have taken diverse decisions in preparation for GDPR, enhancements required in organizations in the wake of GDPR compliance, customer positions to online data harvesting routines, the link between customer trustworthiness and retail data infringements, the percentage of grown-ups who indicate varying degrees of trust that the records of their operations preserved by various companies will still be private and secure, and the degree of accountability for protecting a person’s online privacy. Empirical and secondary data are used to support the claim that the difficult tasks for persons to have relevant management over personal data are reflected in the GDPR that is a significantly intricate piece of law taking into account risk-based assessment and analysis by the data controller. To a certain extent, data subjects may be conferred a right to be notified about the presence of automated decision-making and system performance.

Suggested Citation

  • George LAZAROIU & Maria KOVACOVA & Jana KLIESTIKOVA & Pavol KUBALA & Katarina VALASKOVA & Victor V. DENGOV, 2018. "Data Governance And Automated Individual Decision-Making In The Digital Privacy General Data Protection Regulation," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2018(31), pages 132-142, December.
    • Handle: RePEc:rom:rampas:v:2018:y:2018:i:31:p:132-142
    as

    Download full text from publisher

    File URL: https://ramp.ase.ro/_data/files/articole/2018/31-09.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jani KINNUNEN & Armenia ANDRONICEANU & Irina GEORGESCU, 2019. "Digitalization Of Eu Countries: A Clusterwise Analysis," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 1-12, November.
    2. Nestor Shpak & Marta Naychuk-Khrushch & Ulyana Kohut & Mykhailo Honchar & Włodzimierz Sroka, 2020. "The Usage of Modern Instruments of Business Planning Administration for Small Enterprises: A Case Study Analysis," Central European Business Review, Prague University of Economics and Business, vol. 2020(1), pages 20-42.
    3. Muninger, Marie-Isabelle & Mahr, Dominik & Hammedi, Wafa, 2022. "Social media use: A review of innovation management practices," Journal of Business Research, Elsevier, vol. 143(C), pages 140-156.
    4. Nestor Shpak & Mykola Odrekhivskyi & Kateryna Doroshkevych & Włodzimierz Sroka, 2019. "Simulation of Innovative Systems under Industry 4.0 Conditions," Social Sciences, MDPI, vol. 8(7), pages 1-14, June.

    More about this item

    Keywords

    data governance; automated individual decision-making; digital privacy; GDPR;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • D7 - Microeconomics - - Analysis of Collective Decision-Making
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:rom:rampas:v:2018:y:2018:i:31:p:132-142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Androniceanu Armenia (email available below). General contact details of provider: https://edirc.repec.org/data/ccasero.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.