IDEAS home Printed from https://ideas.repec.org/a/brc/journl/v57y2022i3p34-44.html
   My bibliography  Save this article

Impact Of Big Data Analytics On Government Organizations To Improve Innovation And Decision-Making

Author

Listed:
  • Mesbaul Haque Sazu

    (Case Western Reserve University, Cleveland, USA)

  • Sakila Akter Jahan

    (Independent University, Dhaka, Bangladesh)

Abstract

One of the most significant research topics that draws considerable attention and interest around the world is big data. While big data contributes to the standard of decision-making, it also helps improve and extend the expertise within this specific segment by utilizing the latest technology available. This analysis covers the literature relevant to the standard of big data and the impact of it on the quality of decision-making. A descriptive strategy was also used by going over the literature of printed and published structured research, together with a survey of questionnaires concerning individuals coming from the New York Police Department (NYPD), to gather all their opinions and views within this specific segment. The result from the literature evaluation and survey resulted in proposing a theoretical, conceptual based on the numerical and quantitative strategy. The results of this analysis have discovered that the quality of big data predicts the standard of decision-making in the government sector. Therefore, the standard of big data within NYPD does a tremendous job in the quality of decision-making.

Suggested Citation

  • Mesbaul Haque Sazu & Sakila Akter Jahan, 2022. "Impact Of Big Data Analytics On Government Organizations To Improve Innovation And Decision-Making," Management Strategies Journal, Constantin Brancoveanu University, vol. 57(3), pages 34-44.
    • Handle: RePEc:brc:journl:v:57:y:2022:i:3:p:34-44
    as

    Download full text from publisher

    File URL: http://www.strategiimanageriale.ro/papers/220305.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    big data; Information methods; Mediating element; NYPD;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics

    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:brc:journl:v:57:y:2022:i:3:p:34-44. 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: Dan MICUDA (email available below). General contact details of provider: http://www.univcb.ro/ .

    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.