IDEAS home Printed from https://ideas.repec.org/a/igg/jsda00/v7y2018i4p38-53.html
   My bibliography  Save this article

Public Policymaking Framework Based on System Dynamics and Big Data

Author

Listed:
  • Feldiansyah Bakri Nasution

    (Universiti Teknologi Malaysia, Johor Bahru, Malaysia)

  • Nor Erne Bazin

    (Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Malaysia)

  • Rika Rosalyn

    (Regional Revenue Service of Riau Province, Pekanbaru, Indonesia)

  • Hasanuddin Hasanuddin

    (Universitas Riau, Pekanbaru, Indonesia)

Abstract

In the process of public policymaking, it is recommended to use system dynamics (SD) and Big Data in e-government. SD could assist in viewing problems in complex system holistically, while Big Data in e-government is for collecting data and information which are used for developing model of system dynamics and its equations. On this occasion, partial least square – structural equation modeling (PLS-SEM) is used to validate the relationship between public policymaking (PP), system dynamics (SD) and Big Data in the e-government. Brief explanation about survey and PLS-SEM are discussed. Some of the statistic parameters, such as path coefficients or beta coefficients, P values, R Square coefficients and effect size are shared and analyzed. These terms are parameters for us to see how strong the relationship between PP, SD and Big Data.

Suggested Citation

  • Feldiansyah Bakri Nasution & Nor Erne Bazin & Rika Rosalyn & Hasanuddin Hasanuddin, 2018. "Public Policymaking Framework Based on System Dynamics and Big Data," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 7(4), pages 38-53, October.
    • Handle: RePEc:igg:jsda00:v:7:y:2018:i:4:p:38-53
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJSDA.2018100103
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Aruna Malik & Rajeev Kumar, 2022. "Robust RDH Technique Using Sorting and IPVO-Based Pairwise PEE for Secure Communication," International Journal of System Dynamics Applications (IJSDA), IGI Global, vol. 11(2), pages 1-17, August.

    More about this item

    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:igg:jsda00:v:7:y:2018:i:4:p:38-53. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.com .

    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.