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Public Policymaking Framework Based on System Dynamics and Big Data

Feldiansyah Bakri Nasution, Nor Erne Bazin, Rika Rosalyn and Hasanuddin Hasanuddin
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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

International Journal of System Dynamics Applications (IJSDA), 2018, vol. 7, issue 4, 38-53

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.

Date: 2018
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International Journal of System Dynamics Applications (IJSDA) is currently edited by Ahmad Taher Azar

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