IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v18y2019i2d10.1057_s41272-018-00179-x.html
   My bibliography  Save this article

Pricing schemes and profit-maximizing pricing for cloud services

Author

Listed:
  • In Lee

    (Western Illinois University)

Abstract

As cloud computing rapidly penetrates enterprise computing markets, the paradigm of enterprise computing shifts from client–server data centers to cloud-based data centers. While cloud computing is leading technological innovations to a new level, it is challenging for cloud providers to make informed decisions in regard to pricing of their services. This study presents a typology of pricing schemes for cloud services and develops a decision model based on the perspectives of both cloud providers and corporate customers to maximize the total profit for cloud providers. The model is operationalized with an illustration using real pricing data. A sensitivity analysis provides valuable insights into the pricing dynamics between cloud providers and cloud customers.

Suggested Citation

  • In Lee, 2019. "Pricing schemes and profit-maximizing pricing for cloud services," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 112-122, April.
    • Handle: RePEc:pal:jorapm:v:18:y:2019:i:2:d:10.1057_s41272-018-00179-x
    DOI: 10.1057/s41272-018-00179-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-018-00179-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-018-00179-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Natalia Reen & Magnus Hellström & Kim Wikström & Olga Perminova-Harikoski, 2017. "Towards value-driven strategies in pricing IT solutions," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(1), pages 91-105, February.
    2. Sonja Lehmann & Peter Buxmann, 2009. "Pricing Strategies of Software Vendors," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(6), pages 452-462, December.
    3. Gabriel Bitran & René Caldentey, 2003. "An Overview of Pricing Models for Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 5(3), pages 203-229, August.
    4. Juthasit Rohitratana & Jorn Altmann, 2012. "Impact of Pricing Schemes on a Market for Software-as-a-Service and Perpetual Software," TEMEP Discussion Papers 201288, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2012.
    5. Christof Weinhardt & Arun Anandasivam & Benjamin Blau & Nikolay Borissov & Thomas Meinl & Wibke Michalk & Jochen Stößer, 2009. "Cloud Computing – A Classification, Business Models, and Research Directions," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(5), pages 391-399, October.
    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. Lichao Lin & Adrian Cheung, 2022. "Cloud economy and its relationship with China’s economy—a capital market-based approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-22, December.
    2. Lichao Lin & Adrian (Wai Kong) Cheung, 2024. "Pricing cloud stocks: Evidence from China," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 64(1), pages 811-832, March.

    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. Sunil Tiwari & Joanna Rosak-Szyrocka & Justyna Żywiołek, 2022. "Internet of Things as a Sustainable Energy Management Solution at Tourism Destinations in India," Energies, MDPI, vol. 15(7), pages 1-20, March.
    2. Frank Bodendorf & Manuel Lutz & Jörg Franke, 2021. "Valuation and pricing of software licenses to support supplier–buyer negotiations: A case study in the automotive industry," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1686-1702, October.
    3. Benedikt Martens & Frank Teuteberg, 2012. "Decision-making in cloud computing environments: A cost and risk based approach," Information Systems Frontiers, Springer, vol. 14(4), pages 871-893, September.
    4. Jhih-Hua Jhang-Li & Cheng-Wei Chang, 2017. "Analyzing the operation of cloud supply chain: adoption barriers and business model," Electronic Commerce Research, Springer, vol. 17(4), pages 627-660, December.
    5. Vincent Mak & Amnon Rapoport & Eyran J. Gisches & Jiaojie Han, 2014. "Purchasing Scarce Products Under Dynamic Pricing: An Experimental Investigation," Manufacturing & Service Operations Management, INFORMS, vol. 16(3), pages 425-438, July.
    6. Schulte, Benedikt & Sachs, Anna-Lena, 2020. "The price-setting newsvendor with Poisson demand," European Journal of Operational Research, Elsevier, vol. 283(1), pages 125-137.
    7. Dasci, A. & Karakul, M., 2009. "Two-period dynamic versus fixed-ratio pricing in a capacity constrained duopoly," European Journal of Operational Research, Elsevier, vol. 197(3), pages 945-968, September.
    8. Alessandro Avenali & Yuri Maria Chianese & Graziano Ciucciarelli & Giorgio Grani & Laura Palagi, 2019. "Profit optimization in one-way free float car sharing services: a user based relocation strategy relying on price differentiation and Urban Area Values," DIAG Technical Reports 2019-04, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    9. Yiwei Chen & Vivek F. Farias, 2013. "Simple Policies for Dynamic Pricing with Imperfect Forecasts," Operations Research, INFORMS, vol. 61(3), pages 612-624, June.
    10. Vincent Mak & Amnon Rapoport & Eyran J. Gisches, 2018. "Dynamic Pricing Decisions and Seller-Buyer Interactions under Capacity Constraints," Games, MDPI, vol. 9(1), pages 1-23, February.
    11. Yuri Levin & Jeff McGill & Mikhail Nediak, 2008. "Risk in Revenue Management and Dynamic Pricing," Operations Research, INFORMS, vol. 56(2), pages 326-343, April.
    12. Adam J. Mersereau & Dan Zhang, 2012. "Markdown Pricing with Unknown Fraction of Strategic Customers," Manufacturing & Service Operations Management, INFORMS, vol. 14(3), pages 355-370, July.
    13. Talebian, Masoud & Boland, Natashia & Savelsbergh, Martin, 2014. "Pricing to accelerate demand learning in dynamic assortment planning for perishable products," European Journal of Operational Research, Elsevier, vol. 237(2), pages 555-565.
    14. Stine Labes & Nicolai Hanner & Ruediger Zarnekow, 2017. "Successful Business Model Types of Cloud Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 59(4), pages 223-233, August.
    15. Sabri Çelik & Alp Muharremoglu & Sergei Savin, 2009. "Revenue Management with Costly Price Adjustments," Operations Research, INFORMS, vol. 57(5), pages 1206-1219, October.
    16. René Caldentey & Gustavo Vulcano, 2007. "Online Auction and List Price Revenue Management," Management Science, INFORMS, vol. 53(5), pages 795-813, May.
    17. Qi (George) Chen & Stefanus Jasin & Izak Duenyas, 2016. "Real-Time Dynamic Pricing with Minimal and Flexible Price Adjustment," Management Science, INFORMS, vol. 62(8), pages 2437-2455, August.
    18. Chen, Bo & Zhang, Xiandong, 2019. "Scheduling with time-of-use costs," European Journal of Operational Research, Elsevier, vol. 274(3), pages 900-908.
    19. Irene Ng & Nick K.T. Yip, 2009. "Mechanism design in an integrated approach towards revenue management: the case of Empress Cruise Lines," The Service Industries Journal, Taylor & Francis Journals, vol. 31(3), pages 469-482, February.
    20. Chua, Geoffrey A. & Lim, Wei Shi & Yeo, Wee Meng, 2016. "Market structure and the value of overselling under stochastic demands," European Journal of Operational Research, Elsevier, vol. 252(3), pages 900-909.

    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:pal:jorapm:v:18:y:2019:i:2:d:10.1057_s41272-018-00179-x. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.