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The Components and Practice of Information Technology Governance
Adelaide, Australia January 23-January 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.18First International Workshop on Knowl ...
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Wei Tu, Jinlong Zhang, "The Components and Practice of Information Technology Governance," International Workshop on Knowledge Discovery and Data Mining, pp. 465-458, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008.
 
 
BibTex
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@article{ 10.1109/WKDD.2008.18,
author = {Wei Tu and Jinlong Zhang},
title = {The Components and Practice of Information Technology Governance},
journal ={International Workshop on Knowledge Discovery and Data Mining},
volume = {0},
year = {2008},
isbn = {0-7695-3090-7},
pages = {465-458},
doi = {http://doi.ieeecomputersociety.org/10.1109/WKDD.2008.18},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Workshop on Knowledge Discovery and Data Mining
TI - The Components and Practice of Information Technology Governance
SN - 0-7695-3090-7
SP465
EP458
A1 - Wei Tu,
A1 - Jinlong Zhang,
PY - 2008
VL - 0
JA - International Workshop on Knowledge Discovery and Data Mining
ER -
 
Previous studies primarily focused on the IT decision allocation in Information Technology governance, this paper propose that IT governance is part of corporate governance, it is IT related decision making, motivation and constraint mechanism to work out the asymmetric information problem between shareholders and managers and to maximize IT revenue designed by shareholders-centered stakeholders. IT governance is the combine mechanism of the motivation mechanism, constraint mechanism and decision-making mechanism. This paper also investigate 11 companies around Wuhan ,China, and find IT governance exists and in the initial stage.
Citation:
Wei Tu, Jinlong Zhang, "The Components and Practice of Information Technology Governance," wkdd, pp.465-458, First International Workshop on Knowledge Discovery and Data Mining (WKDD 2008), 2008
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