DocumentCode :
3588870
Title :
A Modeling Approach for IT Governance Basics Application on IT Projects and IT Goals
Author :
El Ghorfi, Rabii ; Ouadou, Mohamed ; Aboutajdine, Driss ; El Aroussi, Mohamed
Author_Institution :
LRIT, CNRST, Mohammed V - Agdal Univ., Rabat, Morocco
fYear :
2014
Firstpage :
211
Lastpage :
216
Abstract :
IT governance meets the need of decision making and leads to settling the main preoccupations company leaders have. It aims at developing good practice through the transmission of reliable, structured and intelligible information on the state of the IT (Information Technology) and the development of the effective steering devices. IT Governance is built around notions such as IT project, IT goal and based upon structured frameworks that can be found in the literature. Despite their existence, these notions are seldom developed and there is no common model posing and describing them as classical governance notions. We therefore put forward IT governance modeling as a means to sort out this lack of consideration, laying out a representation template of IT governance concepts build on probabilities and the Monte Carlo simulation. Our approach stands out by setting up a simple way to deal with these concepts based on the analysis of the literature in order to support the various IT governance syntaxes. This approach thus allows opening new IT Governance knowledge modeling and structuring consistent with IT governance activities.
Keywords :
DP management; Monte Carlo methods; decision making; probability; project management; IT goals; IT governance knowledge modeling; IT governance modeling; IT governance syntaxes; IT projects; Monte Carlo simulation; decision making; information technology; probabilities; steering devices; Companies; Decision making; Information technology; Mathematical model; Monte Carlo methods; Random variables; IT governance; Monte Carlo; information technology; modeling; probabilties;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Modelling and Simulation (AIMS), 2014 2nd International Conference on
Print_ISBN :
978-1-4799-7599-0
Type :
conf
DOI :
10.1109/AIMS.2014.29
Filename :
7102462
Link To Document :
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