Public Policymaking Framework Based on System Dynamics and Big Data

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.