Public Policymaking Framework Based on System Dynamics and Big Data

Nasution, Feldiansyah Bin Bakri; Bazin, Nor Erne Nazira; Rosalyn, Rika; Hasanuddin, Hasanuddin

doi:10.4018/ijsda.2018100103

“…The proposed E-Government Maturity Model (EMM), which is called 5-stage model is valid to support System Dynamics (SD) for Pubic Policymaking [8]. By conducting the survey, the stage or level of EMM is identified comprehensively.…”

Section: Discussionmentioning

confidence: 99%

“…But, how to proof the relationship between them is another challenge. Fortunately, Nasution [8] provides a statistical validation based on Partial Least Square -Structural Equation Modeling (PLS-SEM) to learn the relationship between Public Policymaking (PP), System Dynamics (SD) and Big Data in the E-Government. As the results of the analysis, System Dynamics (SD) explains 48% of variance in Public Policymaking (PP).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

E-Government Maturity Model to Support System Dynamics in Public Policymaking

Nasution¹,

Bazin²

2018

EECSI

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0

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In this paper, the main output of e-government is designed to assist a policymaker to create a comprehensive public policy. The policy is developed by studying the political and social issues in holistic way. System Dynamics based on Big Data from e-government infrastructure is suggested as the method for obtaining a comprehensive solution. The solution is selected from some possible scenarios by running simulation on the model of System Dynamics. The policymaker uses this solution as an input for public policymaking. Unfortunately, no E-Government Maturity Model (EMM) has given attention to incorporate Big Data and System Dynamics for Public Policymaking. In this case, a new EMM is proposed. It consists of several stages. Each stage is identified by the range of intensity or level of several criteria or indicators. Some criteria or indicators are proposed by considering technical and non-technical aspect, such as Leadership / Policy, IT Infrastructure, Information Processing (Application), Human Resources and Organization Culture. At the end of this paper, the survey is conducted to identify the current level or stage of EMM of one of government institution in Indonesia.

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“…Indirectly, it is impacted to the aims for ministry to run public policy effectively to the society [7]. Improvement of the level of EMM is positively related to the effectiveness of the implementation of public policy in the society [8].…”

Section: Discussionmentioning

confidence: 99%

E-Government Maturity Model to Support System Dynamics in Public Policymaking

Nasution¹,

Bazin²

2018

EECSI

Self Cite

0

View full text Add to dashboard Cite

In this paper, the main output of e-government is designed to assist a policymaker to create a comprehensive public policy. The policy is developed by studying the political and social issues in holistic way. System Dynamics based on Big Data from e-government infrastructure is suggested as the method for obtaining a comprehensive solution. The solution is selected from some possible scenarios by running simulation on the model of System Dynamics. The policymaker uses this solution as an input for public policymaking. Unfortunately, no E-Government Maturity Model (EMM) has given attention to incorporate Big Data and System Dynamics for Public Policymaking. In this case, a new EMM is proposed. It consists of several stages. Each stage is identified by the range of intensity or level of several criteria or indicators. Some criteria or indicators are proposed by considering technical and non-technical aspect, such as Leadership / Policy, IT Infrastructure, Information Processing (Application), Human Resources and Organization Culture. At the end of this paper, the survey is conducted to identify the current level or stage of EMM of one of government institution in Indonesia.

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“…Policy consultations and the government need to focus on two levels during policy formulation: community level and international level. Methodologically, this work could inform either levels if placed for example in the context of SD-facilitated public policy frameworks, such as the one described by Nasution et al (2018).…”

Section: Further Workmentioning

confidence: 99%

A Systems Approach to Understanding Geopolitical Tensions in the Middle East in the Face of a Global Water Shortage

Al-Masri

¹

,

Spyridopoulos

²

,

Karatzas

³

et al. 2021

International Journal of System Dynamics Applications

4

0

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In this paper the potential for conflict in the Middle East due to the depleting of regional water reserves is explored and the implications for regional policy making, in the light of other tensions are investigated. We use System Dynamics to develop a model for water resources management and explore via simulation issues that emerge as important, in order to highlight required policies. This analysis validates part of the existing thinking and policies in place and signifies further the need for transboundary cooperation and emphasis on areas that may not be viewed traditionally as key priorities (e.g. demand management, as opposed to continuity of supply).

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Public Policymaking Framework Based on System Dynamics and Big Data

Cited by 13 publications

References 27 publications

E-Government Maturity Model to Support System Dynamics in Public Policymaking

E-Government Maturity Model to Support System Dynamics in Public Policymaking

E-Government Maturity Model to Support System Dynamics in Public Policymaking

A Systems Approach to Understanding Geopolitical Tensions in the Middle East in the Face of a Global Water Shortage

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