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A model for decision support in business-driven IT service portfolio management using SLA-dependent criteria and under uncertainty

Published: 27 October 2009 Publication History

Abstract

This paper presents a model to support decision making for investments in IT services. As such it contributes to IT service portfolio management. Investment options are analyzed and ranked according to a utility index estimated from possible positive and negative business impact of IT services due to IT Service Level Agreement (SLA) compliance and violations. The Balanced Scorecard framework is used to infer the linkage between IT and business activities. The approach takes uncertainty into account by means of utility theory and interval arithmetic. Numerical illustrations encompassing tangible SLA-dependent criteria demonstrate how the approach may be of use.

References

[1]
IT Infrastructure Library - ITIL, Office of Government Commerce, UK, 2007.
[2]
Markowitz, Harry M. 1991. Portfolio Selection: efficient diversification of investments, 2nd Ed Oxford: Basil Blackwell.
[3]
Moura, J. A. B. Sauvé, J. P. and Boulmakoul, A. 2008. A possibility theoretic model for decision support in Business-Driven IT Service Portfolio Management under Uncertainty. In Proceedings of HP-SUA, pp. 131--143.
[4]
Morgan, J. N. 2005. A Roadmap of Financial Management for IT Projects ROI. IT Pro January/February; pp. 52--57.
[5]
Stewart, R. and Mohamed, S. 2002. IT/IS projects selection using multi-criteria utility theory. Logistics Information Management, 15 (4), pp. 254--270.
[6]
Stewart, R. 2008. A framework for the life cycle management of information technology projects: ProjectIT. International Journal of Project Management 26, 203--212.
[7]
Hatush, Z. and Skitmore, M. R. 1998. Contractor selection using multicriteria utility theory: an additive model, Building and Environment 33 (2--3), Elsevier, pp. 105--115.
[8]
Keeney, R. L. and Raiffa, H. 1993. Decisions with Multiple Objectives: Preferences and Value Tradeoffs. Cambridge University Press, Cambridge.
[9]
Kumar, R. L. 2002. Managing risks in IT projects: an options perspective. Information&management 40, pp. 63--74.
[10]
Chen, K. and Gorla, N. 1998. Information System Project Selection Using Fuzzy Logic. IEEE Transactions on System Management and Cybernetics -- Part A: Systems and Humans, Vol. 28, No. 6, November, pp. 849--855.
[11]
Chen, C-T; Cheng, H-L. 2008. A comprehensive model for selecting information system project under fuzzy environment. International Journal of Project Management, In Press.
[12]
Gunasekaran, A., Ngai, E. W. T. and McGaughey, R. E. 2006. Information technology and systems justification: A review for research and applications. European Journal of Operational Research, 173, pp. 957--983.
[13]
Mohamed, S. and McCowan, A. K. 2001. Modeling project investment decisions under uncertainty using possibility theory. International Journal of Project Management, 19, pp. 231--24.
[14]
Baccarini, D., Salm, G. and Love, P. E. D. 2004. Management of risks in information technology projects. Industrial Management&Data Systems, Vol. 104, No. 4 -- pp. 286--295.
[15]
Lee, J. W. and Kim, S. H. 2000. Using analytic network process and goal programming for interdependent information system project selection. Computers&Operations Research 27, pp. 367--382.
[16]
Lan-ying, D. and Yong-dong, S. 2007. Implement Business Strategy via Project Portfolio Management: A Model and Case Study. Journal of American Academy of Business, 11, 2; September, pp. 239--244.
[17]
Moura, J. A. B. 2008. Survey and Interviews on IT Financial Management. Available at http://www.bottomlineproject.com/hp/_media/survey_and_interviews_on_it_financial_management.pdf
[18]
Zadeh, L. 1978. Fuzzy Sets as a Basis for a Theory of Possibility. Fuzzy Sets and Systems; 1, pp. 3--28.
[19]
Marek, W. G. 2003. Power and Beauty of Interval Methods. arXiv:physics/0302034v2, Domestic Conference on Evolutionary Algorithms and Global Optimization, Poland, May 26--29, 8 pp.
[20]
Neumann, J. von, Morgenstern O. 2007. Theory of Games and Economic Behavior. Commemorative Edition, Princeton University Press.
[21]
Kaplan, R., and Norton, D. 1992. The Balanced Scorecard: Measures that Drive Performance. Harvard Business Review; 70(1), pp. 71--79.
[22]
Oliveira, J. A., Moura, J. A. B, Bartolini, C., Hickey, M. 2009. Value-based IT Decision Support. In Proceedings of BDIM.
[23]
Moura, J. A. B., Sauvé, J. P., Jornada, J. and Radziuk, E. 2006. A Quantitative Approach to IT Investment Allocation to Improve Business Results. In Proceedings of Policies, IEEE Computer Society. v. 7. p. 87--95.
[24]
Microsoft TecNet: System Center Operations Manager TechCenter. Defining a service level objective against an application. Available at http://technet.microsoft.com/enus/library/dd441412.aspx
[25]
Bartolini, C., Sallé, M., Trastour, D. 2006. IT service Management Driven by Business Objectives: an application to incident management. In Proceedings of Network Operations and Management Symposium (NOMS 2006), IEEE publishing.

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  • (2011)Virtualization with automated services catalog for providing integrated information technology infrastructureProceedings of the 8th international conference on Autonomic and trusted computing10.5555/2035700.2035708(75-91)Online publication date: 2-Sep-2011
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  1. A model for decision support in business-driven IT service portfolio management using SLA-dependent criteria and under uncertainty

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    MEDES '09: Proceedings of the International Conference on Management of Emergent Digital EcoSystems
    October 2009
    525 pages
    ISBN:9781605588292
    DOI:10.1145/1643823
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 27 October 2009

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    Author Tags

    1. IT service portfolio management
    2. balanced scorecard
    3. information technology infrastructure library (ITIL)
    4. interval arithmetic
    5. probability distribution

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    View all
    • (2021)Innovation portfolio management: a systematic review and research agenda in regards to digital service innovationsManagement Review Quarterly10.1007/s11301-020-00208-372:1(187-230)Online publication date: 11-Jan-2021
    • (2018)Monitoring web services' quality of serviceArtificial Intelligence Review10.1007/s10462-012-9358-742:4(835-850)Online publication date: 28-Dec-2018
    • (2011)Virtualization with automated services catalog for providing integrated information technology infrastructureProceedings of the 8th international conference on Autonomic and trusted computing10.5555/2035700.2035708(75-91)Online publication date: 2-Sep-2011
    • (2011)Prioritizing Information Technology Service Investments under UncertaintyIEEE Transactions on Network and Service Management10.1109/TNSM.2011.072611.1000778:3(259-273)Online publication date: Sep-2011
    • (2011)A method of IT service portfolio selection based on BDIM2011 3rd International Conference on Computer Research and Development10.1109/ICCRD.2011.5764109(178-182)Online publication date: Mar-2011
    • (2010)A framework to support investment decisions using multi-criteria and under uncertainty in IT service portfolio management2010 IEEE/IFIP Network Operations and Management Symposium Workshops10.1109/NOMSW.2010.5486592(103-110)Online publication date: Apr-2010

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