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Demand Heterogeneity in IT Infrastructure Services: Modeling and Evaluation of a Dynamic Approach to Defining Service Levels

Author

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  • Sagnika Sen

    () (Information Systems and Decision Sciences Department, California State University, Fullerton, California 92834)

  • T. S. Raghu

    () (Department of Information Systems, Arizona State University, Tempe, Arizona 85287)

  • Ajay Vinze

    () (Department of Information Systems, Arizona State University, Tempe, Arizona 85287)

Abstract

A key feature of service-oriented models of information technology is the promise of prespecified quality levels enforceable via service level agreements (SLAs). This poses difficult management problems when considerable variability exists in user preferences and service demand within any organization. Because variance in expectations impact service levels, effective pricing and resource allocation mechanisms are needed to deliver services at the promised quality level. In this paper, we propose a mechanism for SLA formulation that is responsive to demand fluctuations and user preference variance, with the objective of maximizing organizational welfare of the participants. This formulation features a dynamic priority based price-penalty scheme targeted to individual users. An analytical model is presented and evaluated for effectiveness of a proposed dynamic priority-based pricing scheme vis-à-vis a baseline fixed-price single-quality level SLA. Simulations using data from an existing SLA is used to provide evidence that the proposed dynamic pricing scheme is likely to be more effective than a fixed-price approach from a system welfare perspective.

Suggested Citation

  • Sagnika Sen & T. S. Raghu & Ajay Vinze, 2009. "Demand Heterogeneity in IT Infrastructure Services: Modeling and Evaluation of a Dynamic Approach to Defining Service Levels," Information Systems Research, INFORMS, vol. 20(2), pages 258-276, June.
  • Handle: RePEc:inm:orisre:v:20:y:2009:i:2:p:258-276
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    File URL: http://dx.doi.org/10.1287/isre.1080.0196
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    References listed on IDEAS

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    1. Prabhudev Konana & Alok Gupta & Andrew B. Whinston, 2000. "Integrating User Preferences and Real-Time Workload in Information Services," Information Systems Research, INFORMS, vol. 11(2), pages 177-196, June.
    2. Haim Mendelson & Seungjin Whang, 1990. "Optimal Incentive-Compatible Priority Pricing for the M/M/1 Queue," Operations Research, INFORMS, vol. 38(5), pages 870-883, October.
    3. T. S. Raghu & P. K. Sen & H. R. Rao, 2003. "Relative Performance of Incentive Mechanisms: Computational Modeling and Simulation of Delegated Investment Decisions," Management Science, INFORMS, vol. 49(2), pages 160-178, February.
    4. Constantinos Maglaras & Assaf Zeevi, 2005. "Pricing and Design of Differentiated Services: Approximate Analysis and Structural Insights," Operations Research, INFORMS, vol. 53(2), pages 242-262, April.
    5. Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-328, March.
    6. Moshe Haviv & Ya'acov Ritov, 1998. "Externalities, Tangible Externalities, and Queue Disciplines," Management Science, INFORMS, vol. 44(6), pages 850-858, June.
    7. David A. Stanford, 1997. "Waiting and Interdeparture Times in Priority Queues with Poisson- and General-Arrival Streams," Operations Research, INFORMS, vol. 45(5), pages 725-735, October.
    8. Sanjeev Dewan & Haim Mendelson, 1990. "User Delay Costs and Internal Pricing for a Service Facility," Management Science, INFORMS, vol. 36(12), pages 1502-1517, December.
    9. Rogelio Oliva & John D. Sterman, 2001. "Cutting Corners and Working Overtime: Quality Erosion in the Service Industry," Management Science, INFORMS, vol. 47(7), pages 894-914, July.
    10. Raja Nadiminti & Tridas Mukhopadhyay & Charles H. Kriebel, 2002. "Research Report: Intrafirm Resource Allocation with Asymmetric Information and Negative Externalities," Information Systems Research, INFORMS, vol. 13(4), pages 428-434, December.
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    Cited by:

    1. Chul Ho Lee & Xianjun Geng & Srinivasan Raghunathan, 2013. "Contracting Information Security in the Presence of Double Moral Hazard," Information Systems Research, INFORMS, vol. 24(2), pages 295-311, June.

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