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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
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Gentjana Rexhaj & Luboš Střelec, 2024. "Digitalization in Engineering Firms: The Role and Impact of Building Information Modeling on Productivity," European Journal of Business Science and Technology, Mendel University in Brno, Faculty of Business and Economics, vol. 10(1), pages 47-65.

    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

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