Integrated double loop data driven model for public policymaking

Public policy is the critical key of the welfare programs. An Integrated Double Loop Data Driven Model is proposed to assist in Public Policymaking in solving public problems in a holistic and complete way. The Integrated Model consists of two components: Data Driven Model and Double Loop Model. The...

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Main Author:	Nasution, Feldiansyah Bakri
Format:	Thesis
Language:	English
Published:	2019
Subjects:	QA Mathematics
Online Access:	http://eprints.utm.my/id/eprint/98116/1/FeldiansyahBakriNasutionPSC2019.pdf
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id	my-utm-ep.98116
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spelling	my-utm-ep.981162022-11-14T10:11:47Z Integrated double loop data driven model for public policymaking 2019 Nasution, Feldiansyah Bakri QA Mathematics Public policy is the critical key of the welfare programs. An Integrated Double Loop Data Driven Model is proposed to assist in Public Policymaking in solving public problems in a holistic and complete way. The Integrated Model consists of two components: Data Driven Model and Double Loop Model. The first model utilizes Big Data in E-Government Maturity (EM) for Public Policymaking (PP), in which a new E-Government Maturity Model is proposed to support data driven public policymaking based on Big Data. Subsequently, the second model adopts the double loop learning in System Dynamics (SD) whereby, a case study is discussed to show on how to utilize Big Data and System Dynamics for Public Policymaking. The interaction between Big Data, System Dynamics and Public Policymaking are captured in one conceptual model. A new method, System Breakdown Structure (SBS), to bridge between the two models is introduced in the case study. PLS-SEM test on the relationship between EM, SD and PP supports the positive correlation between EM to SD, SD to PP and EM to PP. The R square of PP is 0.48 indicating a high confidence level of the contribution of EM and SD in PP. The R square of SD is 0.45. Both results are also emphasized by the path coefficient result, whereby the path coefficient between EM to SD and SD to PP is higher than 50%. By comparing the path coefficient of EM to PP with and without the SD, the strong influence of SD puts it as full mediation effect. This result would also be similar if the multi-group analysis were conducted. Only for certain paths, there are significant statistical differences between each group; however they still produce positive correlations. The paths are EM to SD path in multigroup analysis of PNS (civil servant) and non-PNS (non-civil servant) and EM to PP path in multigroup analysis of Java and Sumatera islands (more developed region) and Other islands (less developed region). Based on the case study and PLS-SEM test, the Integrated Double Loop Data Driven Model is recommended to be implemented to assist in solving public problem. 2019 Thesis http://eprints.utm.my/id/eprint/98116/ http://eprints.utm.my/id/eprint/98116/1/FeldiansyahBakriNasutionPSC2019.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:143779 phd doctoral Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing Faculty of Engineering - School of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA Mathematics
spellingShingle	QA Mathematics Nasution, Feldiansyah Bakri Integrated double loop data driven model for public policymaking
description	Public policy is the critical key of the welfare programs. An Integrated Double Loop Data Driven Model is proposed to assist in Public Policymaking in solving public problems in a holistic and complete way. The Integrated Model consists of two components: Data Driven Model and Double Loop Model. The first model utilizes Big Data in E-Government Maturity (EM) for Public Policymaking (PP), in which a new E-Government Maturity Model is proposed to support data driven public policymaking based on Big Data. Subsequently, the second model adopts the double loop learning in System Dynamics (SD) whereby, a case study is discussed to show on how to utilize Big Data and System Dynamics for Public Policymaking. The interaction between Big Data, System Dynamics and Public Policymaking are captured in one conceptual model. A new method, System Breakdown Structure (SBS), to bridge between the two models is introduced in the case study. PLS-SEM test on the relationship between EM, SD and PP supports the positive correlation between EM to SD, SD to PP and EM to PP. The R square of PP is 0.48 indicating a high confidence level of the contribution of EM and SD in PP. The R square of SD is 0.45. Both results are also emphasized by the path coefficient result, whereby the path coefficient between EM to SD and SD to PP is higher than 50%. By comparing the path coefficient of EM to PP with and without the SD, the strong influence of SD puts it as full mediation effect. This result would also be similar if the multi-group analysis were conducted. Only for certain paths, there are significant statistical differences between each group; however they still produce positive correlations. The paths are EM to SD path in multigroup analysis of PNS (civil servant) and non-PNS (non-civil servant) and EM to PP path in multigroup analysis of Java and Sumatera islands (more developed region) and Other islands (less developed region). Based on the case study and PLS-SEM test, the Integrated Double Loop Data Driven Model is recommended to be implemented to assist in solving public problem.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Nasution, Feldiansyah Bakri
author_facet	Nasution, Feldiansyah Bakri
author_sort	Nasution, Feldiansyah Bakri
title	Integrated double loop data driven model for public policymaking
title_short	Integrated double loop data driven model for public policymaking
title_full	Integrated double loop data driven model for public policymaking
title_fullStr	Integrated double loop data driven model for public policymaking
title_full_unstemmed	Integrated double loop data driven model for public policymaking
title_sort	integrated double loop data driven model for public policymaking
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Computing
granting_department	Faculty of Engineering - School of Computing
publishDate	2019
url	http://eprints.utm.my/id/eprint/98116/1/FeldiansyahBakriNasutionPSC2019.pdf
_version_	1776100552567947264

Integrated double loop data driven model for public policymaking

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