IDEAS home Printed from https://ideas.repec.org/a/inm/orisre/v20y2009i2p258-276.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    DOI: 10.1287/isre.1080.0196
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/isre.1080.0196
    Download Restriction: no

    File URL: https://libkey.io/10.1287/isre.1080.0196?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Cheng, Li & Wang, Yue & Zhang, Xiao & Zhu, Di, 2023. "Double-edged sword of global demand heterogeneity: How service multinationals capture the benefits and mitigate the costs of managing customer knowledge," Journal of Business Research, Elsevier, vol. 154(C).
    2. Chenglong Zhang & Nan Feng & Jianjian Chen & Dahui Li & Minqiang Li, 0. "Outsourcing Strategies for Information Security: Correlated Losses and Security Externalities," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    3. Antonello Maruotti & Jan Bulla & Tanya Mark, 2019. "Assessing the influence of marketing activities on customer behaviors: a dynamic clustering approach," METRON, Springer;Sapienza Università di Roma, vol. 77(1), pages 19-42, April.
    4. Zhiling Guo & Jin Li & Ram Ramesh, 2019. "Optimal Management of Virtual Infrastructures Under Flexible Cloud Service Agreements," Information Systems Research, INFORMS, vol. 30(4), pages 1424-1446, April.
    5. 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.
    6. Chenglong Zhang & Nan Feng & Jianjian Chen & Dahui Li & Minqiang Li, 2021. "Outsourcing Strategies for Information Security: Correlated Losses and Security Externalities," Information Systems Frontiers, Springer, vol. 23(3), pages 773-790, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ke-Wei Huang & Arun Sundararajan, 2011. "Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure," Information Systems Research, INFORMS, vol. 22(4), pages 721-738, December.
    2. Ryan W. Buell & Dennis Campbell & Frances X. Frei, 2016. "How Do Customers Respond to Increased Service Quality Competition?," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 585-607, October.
    3. Ke-Wei Huang & Arun Sundararajan, 2006. "Pricing Digital Goods: Discontinuous Costs and Shared Infrastructure," Working Papers 06-11, NET Institute, revised Sep 2006.
    4. Ying-Ju Chen & Ke-Wei Huang, 2016. "Pricing Data Services: Pricing by Minutes, by Gigs, or by Megabytes per Second?," Information Systems Research, INFORMS, vol. 27(3), pages 596-617.
    5. Philipp Afèche & Opher Baron & Yoav Kerner, 2013. "Pricing Time-Sensitive Services Based on Realized Performance," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 492-506, July.
    6. S. Rao & E. R. Petersen, 1998. "Optimal Pricing of Priority Services," Operations Research, INFORMS, vol. 46(1), pages 46-56, February.
    7. Kartik Hosanagar & John Chuang & Ramayya Krishnan & Michael D. Smith, 2008. "Service Adoption and Pricing of Content Delivery Network (CDN) Services," Management Science, INFORMS, vol. 54(9), pages 1579-1593, September.
    8. Costis Maglaras & John Yao & Assaf Zeevi, 2018. "Optimal Price and Delay Differentiation in Large-Scale Queueing Systems," Management Science, INFORMS, vol. 64(5), pages 2427-2444, May.
    9. Shi Chen & Kamran Moinzadeh & Yong Tan, 2021. "Discount Schemes for the Preemptible Service of a Cloud Platform with Unutilized Capacity," Information Systems Research, INFORMS, vol. 32(3), pages 967-986, September.
    10. Vibhanshu Abhishek & Mustafa Dogan & Alexandre Jacquillat, 2021. "Strategic Timing and Dynamic Pricing for Online Resource Allocation," Management Science, INFORMS, vol. 67(8), pages 4880-4907, August.
    11. Alok Gupta & Boris Jukic & Dale O. Stahl & Andrew B. Whinston, 2011. "An Analysis of Incentives for Network Infrastructure Investment Under Different Pricing Strategies," Information Systems Research, INFORMS, vol. 22(2), pages 215-232, June.
    12. Anthony M. Kwasnica & Euthemia Stavrulaki, 2008. "Competitive location and capacity decisions for firms serving time‐sensitive customers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(7), pages 704-721, October.
    13. Jalili Marand, Ata & Li, Hongyan & Thorstenson, Anders, 2019. "Joint inventory control and pricing in a service-inventory system," International Journal of Production Economics, Elsevier, vol. 209(C), pages 78-91.
    14. Saeed Alaei & Hu Fu & Nima Haghpanah & Jason Hartline & Azarakhsh Malekian, 2019. "Efficient Computation of Optimal Auctions via Reduced Forms," Mathematics of Operations Research, INFORMS, vol. 44(3), pages 1058-1086, August.
    15. Hossein Abouee‐Mehrizi & Ata Ghareaghaji Zare & Renata A. Konrad, 2022. "Pricing in Service Systems with Rational Balking and Abandonment of Time‐Sensitive Customers," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 495-510, February.
    16. Y Perlman & M Kaspi, 2007. "Centralized decision of internal transfer-prices with congestion externalities for two modes of repair with limited repair capacity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1178-1184, September.
    17. Yichuan Ding & Eric Park & Mahesh Nagarajan & Eric Grafstein, 2019. "Patient Prioritization in Emergency Department Triage Systems: An Empirical Study of the Canadian Triage and Acuity Scale (CTAS)," Manufacturing & Service Operations Management, INFORMS, vol. 21(4), pages 723-741, October.
    18. 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.
    19. Philipp Afèche, 2013. "Incentive-Compatible Revenue Management in Queueing Systems: Optimal Strategic Delay," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 423-443, July.
    20. Philipp Afèche & J. Michael Pavlin, 2016. "Optimal Price/Lead-Time Menus for Queues with Customer Choice: Segmentation, Pooling, and Strategic Delay," Management Science, INFORMS, vol. 62(8), pages 2412-2436, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:inm:orisre:v:20:y:2009:i:2:p:258-276. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.