Abstract

System thinking has become an effective strategy when dealing with complex systems. Such systems are characterized by mutual interactions, causality and inter-dependency between system components. A typical example is the cooperation between governmental organizations and stakeholder interaction. The complexity of developing an e-government system suggests a more fundamental approach, where the roles of domain expert and system analyst are clearly separated. The main focus of this article is (1) to propose a linguistically-based systematic approach to the construction of models for the dynamics of complex systems, and (2) to propose extended causal diagrams. Our research methodology is based on Design Science. We start from a conceptual language developed for the application domain at hand and use this to define the dynamic factors. Then, we show how the resulting extended causal diagram is transformed into a framework for System Dynamics. We have demonstrated this approach by using a basic form of an e-Government as a running example. Our intention is to use this approach as a basis for a systematic step-wise introduction of e-Government in Zanzibar. Besides, this method is useful for modeling any complex system, especially for the description and evaluation of intended policies.

Highlights

  • E-government has emerged as a means of service delivery improvement, enhancing public sectors by participating in a new knowledge landscape

  • We show how the resulting extended causal diagram is transformed into a framework for System Dynamics

  • We have demonstrated this approach by using a basic form of an e-government as a running example

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Summary

Introduction

E-government has emerged as a means of service delivery improvement, enhancing public sectors by participating in a new knowledge landscape. Reference: M.M. Khamis and Th.P. van der Weide, “A Linguistic-based Systematic Approach to Complex System Dynamics and its Application to E-government Introduction in Zanzibar,” Complex Systems Informatics and Modeling Quarterly, CSIMQ, Issue no. According to Richardson ([4], or [5]), System Dynamics (SD) is a computer-aided approach to policy analysis and design It has been introduced as a technique to build simulation models. Building a causal network can be simplified by using semi-natural language techniques to relate the (more abstract) modeling concepts with (more concrete) domain-specific descriptions. We use the ORM approach to generate the information grammar in its graphical representation as a conceptual scheme to be used as a basis for reasoning about the application domain.

Literature Review
Modeling Process
Causal Reasoning
Causal Diagrams
Extended Causal Diagrams
Further Extensions
Constructing Guidelines
The E-government Application
Step 1
Step 2
Step 3
Transformation to System Dynamics
A Simulation Tool for Policy Makers
Adding a Time Step and Quantification Rules
Experience With the Simulation Tool
Conclusion and Future Work

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