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Item type:Publication, Effects of Risk Management Practices on IT Project Success(2017-03-01) ;Pimchangthong, DaraneeBoonjing, VeeraSuccessful management of an information technology (IT) project is the most desirable for all organisations and stakeholders. Many researchers elaborated that risk management is a key part of project management for any project size. Risk management is so critical because it provides project managers with a forward-looking view of both threats and opportunities to improve the project success. The objectives of this research are to explore organisational factors affecting IT project success and risk management practices influencing IT project success. Risk management practices include risk identification, risk analysis, risk response planning, and risk monitoring and control. The IT project success is measured by process performance and product performance. Data are collected from 200 project managers, IT managers, and IT analysts in IT firms through questionnaires and analysed using Independent Sample t-test, One-way ANOVA, and Multiple Linear Regression at the statistical significance level of 0.05. The results show that the differences in organisational types affect IT project success in all aspects, while the differences on organisational sizes affect IT project success in the aspect of product performance and total aspects. Risk identification and risk response planning influence the process performance and the total aspects of IT project success. Risk identification has the highest positive influence on product performance, followed closely by risk response, while risk analysis negatively influences product performance. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Effects of Risk Management Practice on the Success of IT Project(2017-01-01) ;Pimchangthong, DaraneeBoonjing, VeeraThe objectives of this research were to explore risk management practices influencing the success of IT projects. Data were collected from 200 project managers, IT managers, and IT analysts in the IT firms through questionnaires and analysed using the Independent Sample t-test, One-way ANOVA, and Multiple Linear Regression at the statistical significance level of 0.05. The results demonstrated that the differences in organisational types affected the success of IT projects in all aspects, while the differences in organisational sizes affected the success of IT projects in terms of the aspect of product performance as well as total aspects. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Modeling supply risk using belief networks: A process with application to the distribution of medicine(2014-11-18) ;Leerojanaprapa, K. ;Van Der Meer, R.Walls, L.We propose a modeling approach based on belief networks to capture and understand the systemic nature of risks affecting supply networks. By aligning the purpose of a model with the nature of supply management decisions, we provide a mechanism for identifying relevant supply risks so that we can visualize inter-dependencies between risks and predict their effects on supply performance. By using a belief network modeling formalism we can use diagnostics to understand the key drivers of unwanted risk scenarios and to explore the efficacy of possible risk mitigating actions. We illustrate how belief network modeling can be used to manage the risk/reward position and provide new insights into supply risks through an example for the medicine supply chain of a regional health service provider.
