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Revenue management model for on-demand IT services

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  • Liu, Tieming
  • Methapatara, Chinnatat
  • Wynter, Laura

Abstract

This paper presents a model for applying revenue management to on-demand IT services. The multinomial logit model is used to describe customer choice over multiple classes with different service-level agreements (SLAs). A nonlinear programming model is provided to determine the optimal price or service level for each class. Through a numerical analysis, we examine the impacts of system capacity and customer waiting incentives on the service provider's profit and pricing strategies.

Suggested Citation

  • Liu, Tieming & Methapatara, Chinnatat & Wynter, Laura, 2010. "Revenue management model for on-demand IT services," European Journal of Operational Research, Elsevier, vol. 207(1), pages 401-408, November.
    • Handle: RePEc:eee:ejores:v:207:y:2010:i:1:p:401-408
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    References listed on IDEAS

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    Cited by:

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    2. Onur Bas & Tamer Aksoy, 2022. "Examining the impact of cargo and ancillary revenues on net profit for full service carrier airlines," International Journal of Business Ecosystem & Strategy (2687-2293), Bussecon International Academy, vol. 4(3), pages 48-72, July.
    3. Goode, Sigi & Lin, Chinho & Fernandez, Walter & Jiang, James J., 2014. "Exploring two explanations of loyalty in application service provision," European Journal of Operational Research, Elsevier, vol. 237(2), pages 649-657.
    4. Canbolat, Pelin G., 2020. "Bounded rationality in clearing service systems," European Journal of Operational Research, Elsevier, vol. 282(2), pages 614-626.
    5. Chia-Wei Kuo & Kwei-Long Huang & Chao-Lung Yang, 2017. "Optimal contract design for cloud computing service with resource service guarantee," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1030-1044, September.
    6. Gaivoronski, Alexei A. & Nesse, Per-Jonny & Østerbo, Olav-Norvald & Lønsethagen, Håkon, 2016. "Risk-balanced dimensioning and pricing of End-to-End differentiated services," European Journal of Operational Research, Elsevier, vol. 254(2), pages 644-655.

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