Methodology for Risk Assessment and Costs Associated with Risk Occurrence in E-Government Projects

2013 ◽  
pp. 252-272 ◽  
Author(s):  
Neven Vrcek ◽  
Petra Peharda ◽  
Dušan Mundar
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Bayesian Networks ◽  
Project Managers ◽  
New Approach ◽  
Management Quality ◽  
Government Project ◽  
Project Risks ◽  
Graphical Structure

The main purpose of this chapter is to emphasize the problem of e-government project risks and to introduce a methodology for risk assessment and calculation of costs associated with risk occurrence in e-government projects based on Bayesian networks. The proposed methodology presents a new approach to the assessment of risks and costs related to e-government project risks. As such, it facilitates the holistic decision making procedure for project managers. The application of Bayesian networks in the context of risks and risk related costs reduces the level of uncertainty in e-government projects and provides a graphical structure of risks and corresponding costs. Finally, the sensitivity analysis has also been integrated into the methodology and its results can have a significant impact on the overall project management quality.

Methodology for Risk Assessment and Costs Associated with Risk Occurrence in E-Government Projects

2015 ◽  
pp. 349-369 ◽  
Author(s):  
Neven Vrček ◽  
Petra Peharda ◽  
Dušan Munđar
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Bayesian Networks ◽  
Project Managers ◽  
New Approach ◽  
Management Quality ◽  
Government Project ◽  
Project Risks ◽  
Graphical Structure

The main purpose of this chapter is to emphasize the problem of e-government project risks and to introduce a methodology for risk assessment and calculation of costs associated with risk occurrence in e-government projects based on Bayesian networks. The proposed methodology presents a new approach to the assessment of risks and costs related to e-government project risks. As such, it facilitates the holistic decision making procedure for project managers. The application of Bayesian networks in the context of risks and risk related costs reduces the level of uncertainty in e-government projects and provides a graphical structure of risks and corresponding costs. Finally, the sensitivity analysis has also been integrated into the methodology and its results can have a significant impact on the overall project management quality.

Methodology for Risk Assessment and Costs Associated with Risk Occurrence in E-Government Projects

2015 ◽  
pp. 449-469
Author(s):  
Neven Vrček ◽  
Petra Peharda ◽  
Dušan Munđar
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Bayesian Networks ◽  
Project Managers ◽  
New Approach ◽  
Management Quality ◽  
Government Project ◽  
Project Risks ◽  
Graphical Structure

The main purpose of this chapter is to emphasize the problem of e-government project risks and to introduce a methodology for risk assessment and calculation of costs associated with risk occurrence in e-government projects based on Bayesian networks. The proposed methodology presents a new approach to the assessment of risks and costs related to e-government project risks. As such, it facilitates the holistic decision making procedure for project managers. The application of Bayesian networks in the context of risks and risk related costs reduces the level of uncertainty in e-government projects and provides a graphical structure of risks and corresponding costs. Finally, the sensitivity analysis has also been integrated into the methodology and its results can have a significant impact on the overall project management quality.

Fuzzy Rules for Risk Assessment and Contingency Estimation within COCOMO Software Project Planning Model

2014 ◽  
pp. 88-111 ◽  
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project’s research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

Fuzzy Rules for Risk Assessment and Contingency Estimation Within COCOMO Software Project Planning Model

2018 ◽  
pp. 771-797
Author(s):  
Ekananta Manalif ◽  
Luiz Fernando Capretz ◽  
Danny Ho
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Planning ◽  
Project Managers ◽  
Research Data ◽  
Software Project ◽  
Planning Model ◽  
Effort Estimation ◽  
New Approach ◽  
Project Risks

Software development can be considered to be the most uncertain project when compared to other projects due to uncertainty in the customer requirements, the complexity of the process, and the intangible nature of the product. In order to increase the chance of success in managing a software project, the project manager(s) must invest more time and effort in the project planning phase, which involves such primary and integrated activities as effort estimation and risk management, because the accuracy of the effort estimation is highly dependent on the size and number of project risks in a particular software project. However, as is common practice, these two activities are often disconnected from each other and project managers have come to consider such steps to be unreliable due to their lack of accuracy. This chapter introduces the Fuzzy-ExCOM Model, which is used for software project planning and is based on fuzzy technique. It has the capability to not only integrate the effort estimation and risk assessment activities but also to provide information about the estimated effort, the project risks, and the effort contingency allowance necessary to accommodate the identified risk. A validation of this model using the project's research data shows that this new approach is capable of improving the existing COCOMO estimation performance.

scholarly journals THE CURRENT STATE OF PROJECT RISK ASSESSMENT AND EDUCATION NEEDS IN PROJECT RISK MANAGEMENT

2019 ◽  
Vol 7 ◽  
Author(s):  
Matej Masár ◽  
Mária Hudáková
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Project Managers ◽  
Project Risk Management ◽  
Project Risk ◽  
Qualitative And Quantitative ◽  
Current State ◽  
The World ◽  
Project Risks ◽  
Project Risk Assessment

Current trends show that education in the field of project risk management is a very actual topic. Long - term projects, which was realized in 2018, was mainly focused on R&D across the world. Short - term projects, was focused on innovation and improve manufacturing processes. Many projects failed because project managers did not manage project risks. Project managers have less knowledge and skills on how to effectively manage project risks, especially risks in the planning phase of projects. The main aim of this article is to analyze the current state of usage project risk assessment across the world, based on own empirical research, which was provided, by authors in 2018 and 2019 (mainly level of usage project risk management methods, experience and level of education). The research focused on analyzing the current state of project risk assessment among continents. The authors focused on the average level of use qualitative and quantitative project risk analysis by project managers, level of project risk management experience by project managers and complexity of learning in using of qualitative and quantitative project risk management methods and tools.  Some recommendation were established to educate project managers in the field of project risk management.

scholarly journals An extension of the codas method based on Interval Rough Numbers for multi-criteria group decision making

2021 ◽  
Vol 16 ◽  
pp. 23-43
Author(s):  
Mouna Regaieg Cherif ◽  
◽  
Hela Moalla Frikha ◽  
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Decision Maker ◽  
Group Decision Making ◽  
Group Decision ◽  
Real Life ◽  
Multiple Criteria ◽  
Linguistic Terms

This study aims to develop a new Interval Rough COmbinative Distance-based Assessment (IR CODAS) method for handling multiple criteria group decision making problems using linguistic terms. A single decision maker is unable to express his opinions or preferences on multiple criteria decisions, while a Multi-Criteria Group Decision Making MCGDM process ensures successful outcomes when handling greater imprecision and vagueness information. A real-life case study of risk assessment is investigated using our proposed IR-CODAS method to test and validate its application; a sensitivity analysis is also performed. Keywords: Interval Rough Numbers, group decision making, IR-CODAS method, risk assessment.

Perfect Partners of Mathematical Modeling with Technology in Risk Assessment

2016 ◽  
pp. 61-90
Author(s):  
William P. Fox
Keyword(s):  
Mathematical Modeling ◽  
Risk Assessment ◽  
Game Theory ◽  
Decision Making ◽  
Sensitivity Analysis ◽  
Linear Programming ◽  
Data Envelopment Analysis ◽  
Discrete Dynamical Systems ◽  
Data Envelopment ◽  
Multi Attribute Decision Making

This chapter discusses the use of mathematical modeling with technology in risk assessment in the broad area of operations research. The authors provide modeling as a process and illustrate suggested steps in the process. This chapter reviews some of the main modeling texts and provide a brief discussion of their processes. Many illustrative examples are provided to show the breadth of mathematical modeling. These examples cover such topics as discrete dynamical systems, game theory, multi-attribute decision making, data envelopment analysis with linear programming, and integer programming. The authors discuss the important of sensitivity analysis, as applicable. Several scenarios are used as illustrative examples of the process.

scholarly journals Application of interval valued fuzzy-rough numbers in multi-criteria decision making: The IVFRN-MAIRCA model

2019 ◽  
Vol 29 (2) ◽  
pp. 221-247 ◽  
Author(s):  
Dragan Pamucar ◽  
Goran Cirovic ◽  
Darko Bozanic
Keyword(s):  
Decision Making ◽  
Sensitivity Analysis ◽  
High Stability ◽  
Multi Criteria Decision Making ◽  
Analysis Method ◽  
New Approach ◽  
The Given ◽  
Interval Valued ◽  
Selection Of

This paper presents a new approach for the treatment of uncertainty and imprecision based on interval-valued fuzzy-rough numbers (IVFRNs). IVFRNs make a decision making possible using only the internal knowledge from the data, using objective indeterminacy without the need to rely on models of any assumption. Namely, instead of subjectively entering external uncertainties, the structure of the given data is used. Taking into account the given assumptions, we developed an original multi-criteria model based upon the IVFR approach. In the multi-criteria model the traditional MAIRCA (Multi-Attribute Ideal-Real Comparative Analysis) method was modified. The model was tested and validated on a case study, considering selection of the optimal landing operations point for overcoming water obstacles. The sensitivity analysis of the IVFRN MAIRCA model was carried out through 24 scenarios which showed that our results are of a high stability degree.

Sign in / Sign up

Export Citation Format

Share Document