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Risk Analysis for it Projects Using System Dynamics

By Nastaran Hajiheidari and Fatemeh Rahmati

Abstract

In today's complex world when we talk about IT projects, risk appears such as an inseparable part. The purpose of this study is to identify risks in IT project management and their effect on the overall risk of the project. In order to achieve this objective, we study a wide range of researches in the field of IT project risk analysis. We classify risk factors and the factors are simulated in a dynamic model. Then, some equations are extracted using examining relationship between structures and factors, and the risks are studied in a period of 12 month. The results of this study show that human resource risk is the most important risk that is repeated, after that project management risk is the second risk. Strategic risk is a risk that is appeared in some periods. So, we suggest IT project managers to pay more attention to these risks in the politics and strategies. Introduction: This research can be classified as applied researches because the researchers attempt to provide a solution for recognition and management of IT projects, considering the need for the current community to pay particular attention to risk and analyzing it in active organizations in the field of information technology, and by conducting fundamental research in this field. The achievement of this endeavor is to provide a dynamic simulation model for risk analysis of IT projects, which can be used to determine the priority of significant risks over a given time period. Since this study is based on existing projects in IT organizations, the scope of research can be defined by all projects that are carried out in companies and organizations with background in the field of information technology. The general purpose of this research is to provide a dynamic model of risk analysis in IT projects. Dedicated objectives are included: • Identification of risk factors in IT projects • Identification of Structures (Major Groups) Risk of IT Projects • Prioritizing the risk structures of IT projects • Examining the extent of explaining each of the risk structures by the relevant components in IT projects • Investigating the relationship among risk factors in IT projects • Investigating the impact of changes in the overall risks of IT projects for changes in each of the risk structures   Row Researcher's name Year of research The topic of the research 1 Ssemaluulu, Paul and Williams Ddembe 2007 Complexity and Risk in IS Projects: A System Dynamics Approach 2 Trček, Denis 2008 Using System Dynamics for Managing Risks in Information Systems 3 Trček, Denis 2009 System Dynamics Based Risk Management for Distributed Information Systems 4 Sen, Wang Gui and yang, Li Xiang 2010 The Risk Analysis on IT Service Outsourcing of Enterprise with System Dynamics 5 Dash Wu, Desheng, et al. 2010 Modeling technological innovation risks of an entrepreneurial team using system dynamics: An agent-based perspective   Materials and Methods: This study, first of all, reviews the background of the subject and identifies the factors involved in the risk of IT projects. The current study, investigates the researches that are done in this field and after extracting them and performing a survey by experts and managers for determining the importance of risks, they are categorized into 9 main factors. The PLS method is used to obtain confirmatory factor analysis. In order to identify the relationships among the main structures, the analysis of regression between them has been used. In the next step, the relationships among the variables are defined, their equations are tuned, and their dynamic simulation model is depicted. Finally, by analyzing the susceptibility to the model, the sensitivity of each risk and its impact on overall company's risk is assessed, and significant risks that require more attention in IT projects have been identified.   Results and Discussion: Linear regression technique is used to analyze the relationship among research structures (risk indicators). The significance level for relationships to be meaningful is less than 0.05 (Si

Topics: IT projects, System Dynamics, Risk Analysis, Production management. Operations management, TS155-194
Publisher: University of Isfahan
Year: 2018
OAI identifier: oai:doaj.org/article:082f471109264ca8bdc4ea5790c9e462
Journal:
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