Quantitative and qualitative risk in IT portfolio management

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2007, Pages 3840-3847

  Holland, Alexander ^a   Fathi, Madjid ^a  

^a UNIVERSITY OF SIEGEN   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION TECHNOLOGY; OPTIMIZATION; PROJECT MANAGEMENT; RISK ANALYSIS; RISK MANAGEMENT; UNCERTAINTY ANALYSIS;

IT PORTFOLIO MANAGEMENT; QUANTIFICATION; RISK MITIGATION;

INFORMATION MANAGEMENT;

EID: 40949152732     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2007.4414057     Document Type: Conference Paper

References (30)

1. G. F. Cooper, "The computational complexity of probabilistic inference using bayesian belief networks," in Artificial Intelligence, Vol. 42, 1990, pp. 393-405.
2. A. Holland, "A bayesian approach to model uncertainty in network balanced scorecards (Published Conference Proceedings style)," in Proc. 10th Intern. Conf. on Soft Computing, Mendel 2004, Brno, Czech Republic, 2004, pp. 134-138.
3. S. Russell and P. Norvig, Artificial Intelligence. A Modern Approach. New Jersey: Prentice Hall, 2003, ch. 14.
4. C. Borgelt and R. Kruse, Graphical Models. Methods for Data Analysis and Mining. New York: John Wiley & Sons, 2002, ch. 4.
5. J. Pearl, Probabilistic Reasoning in Intelligent Systems. San Francisco: Morgan Kaufmann, 1988.
6. F. V. Jensen, Bayesian Networks and Decision Graphs. Statistics for Engineering and Information Science, Berlin Heidelberg New York: Springer-Verlag, 2001.
7. R.J. Brachman and H.J. Levesque, Knowledge Representation and Reasoning. San Francisco: Morgan Kaufmann, 2004, ch. 12.
8. R.E. Neapolitan, Learning Bayesian Networks. New Jersey: Prentice Hall, 2004.
9. A. Holland and M. Fathi, "Concurrent fusion via sampling and lin-op aggregation. (Accepted, Conference Proceedings style)," in Proc. Modeling Decisions for Artificial Intelligence, MDAI 2006, Tarragona, Spain, April 2006.
10. J. Pearl, Causality: Models, Reasoning and Inference. Cambridge: Cambridge University Press, 2000, ch. 1-3.
11. K.P. Murphy, "Active learning of causal bayes net structure (Report style)," Technical Report, UC Berkeley, 2001.
12. N. Friedman, K.P. Murphy, and S. Russell, "Learning the structure of dynamic probabilistic networks (Published Conference Proceedings style)," in Proc. 14th Intern. Conf. on Uncertainty in Artificial Intelligence, UAI '98, Madison, Wisconsin, USA, 1998, pp. 139-147.
13. J.G. March, Decisions and Organizations. Blackwell, 1988.
14. Committee for Oversight and Assessment of U.S., The Owner's Role in Project Risk Management. National Academic Press, 2005.
15. T. Kendrick, Identifying and Managing Project Risk. Amacom Management Association, 2004.
16. C.H. Loch, A. deMeyer, and M.T. Pich, Managing the Unknown. A new Approach to Managing High Uncertainty and Risk in Projects. John Wiley & Sons, 2006.
17. R.J. Chapman, Simple Tools and Techniques for Enterprise Risk Management. John Wiley & Sons, 2006.
18. K. Schwalbe, Information Technology Project Management. 4th Edition, Course Technology, 2005.
19. M. Haeder, Delphi Befragungen, Westdeutscher Verlag, 2002.
20. J.T. Marchewka, Information Technology Project Management. John Wiley & Sons, 2006.
21. K. Wolf and B. Runzheimer, Risikomanagement und KonTrag. Gabler Verlag, 2001.
22. H. Kerzner, Project Management: A Systems Approach to Planning, Scheduling, and Controlling. 8th Edition, John Wiley & Sons, 2003.
23. M. W. Newell, Preparing for the Project Management Professional. American Management Association, 2005.
24. D.F. Cooper, S. Grey, G. Raymond, and P. Walker, Project Risk Management. Managing Risk in Large Projects and Complex Procurements. John Wiley & Sons, 2005.
25. Project Management Institute, A Guide to the Project Management Body of Knowledge. 3rd Edition, PMI, 2004.
26. D. Vose, Fundamentals of Risk Analysis and Risk Management. Lewis, 1997.
27. R.T. Clemen, Making Hard Decisions: An Introduction to Decision Analysis. Duxbury Press, 1997.
28. S.L. Baker, Perils of the Internal Rate of Return. Economics Interactive Lecture, 2000.
29. R.G. Rosandich, S. Erquicia, Quantification of Uncertainty in Transportation Infrastructure Projects. Project Report, Center for Transportation Studies, University Of Minnesota, USA, 2005.
30. A. Holland and M. Fathi, "Analysis and Transformation of Graphical Models," in Int. Journal of Computational Intelligence, Vol. 1(1), IJCITP 2006, pp. 1-8.