IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v1y2009i6p452-462.html
   My bibliography  Save this article

Pricing Strategies of Software Vendors

Author

Listed:

Abstract

Due to the economic characteristics specific to the software industry, pricing concepts existing in other industries cannot be transferred without adaptation. Therefore, this article provides an overview of pricing models for software. In this context we discuss the six parameters formation of prices, structure of payment flow, assessment base, price discrimination, price bundling, and dynamic pricing strategies. Furthermore, we refer to recent software delivery models, such as Software as a service. The results are based on literature research and empirical studies. Copyright Gabler Verlag 2009

Suggested Citation

  • 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.
    • Handle: RePEc:spr:binfse:v:1:y:2009:i:6:p:452-462
    DOI: 10.1007/s12599-009-0075-y
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s12599-009-0075-y
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s12599-009-0075-y?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. Ahtiala, Pekka, 2006. "The optimal pricing of computer software and other products with high switching costs," International Review of Economics & Finance, Elsevier, vol. 15(2), pages 202-211.
    2. Schmalensee, Richard, 1984. "Gaussian Demand and Commodity Bundling," The Journal of Business, University of Chicago Press, vol. 57(1), pages 211-230, January.
    3. Shin-yi Wu & Lorin M. Hitt & Pei-yu Chen & G. Anandalingam, 2008. "Customized Bundle Pricing for Information Goods: A Nonlinear Mixed-Integer Programming Approach," Management Science, INFORMS, vol. 54(3), pages 608-622, March.
    4. Vidyanand Choudhary & Anindya Ghose & Tridas Mukhopadhyay & Uday Rajan, 2005. "Personalized Pricing and Quality Differentiation," Management Science, INFORMS, vol. 51(7), pages 1120-1130, July.
    5. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    6. Peter C. Fishburn & Andrew M. Odlyzko, 1999. "Competitive pricing of information goods: Subscription pricing versus pay-per-use," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 13(2), pages 447-470.
    7. repec:dar:wpaper:35816 is not listed on IDEAS
    8. Torsten Olderog & Bernd Skiera, 2000. "The Benefits Of Bundling Strategies," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 52(2), pages 137-159, April.
    9. Shy,Oz, 2001. "The Economics of Network Industries," Cambridge Books, Cambridge University Press, number 9780521805001, September.
    10. Lorin M. Hitt & Pei-yu Chen, 2005. "Bundling with Customer Self-Selection: A Simple Approach to Bundling Low-Marginal-Cost Goods," Management Science, INFORMS, vol. 51(10), pages 1481-1493, October.
    11. Yannis Bakos & Erik Brynjolfsson, 1999. "Bundling Information Goods: Pricing, Profits, and Efficiency," Management Science, INFORMS, vol. 45(12), pages 1613-1630, December.
    12. William James Adams & Janet L. Yellen, 1976. "Commodity Bundling and the Burden of Monopoly," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(3), pages 475-498.
    13. Barry Nalebuff, 2004. "Bundling as an Entry Barrier," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 159-187.
    14. Hemant K. Bhargava & Vidyanand Choudhary, 2008. "Research Note--When Is Versioning Optimal for Information Goods?," Management Science, INFORMS, vol. 54(5), pages 1029-1035, May.
    15. Anindya Ghose & Vidyanand Choudhary & Tridas Mukhopadhyay & Uday Rajan, 2002. "Personalized Pricing and Quality Differentiation on the Internet," Review of Marketing Science Working Papers 2-1-1005, Berkeley Electronic Press.
    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. Ali Azadeh & Hassan Songhori & Nima Salehi, 2017. "A unique optimization model for deterministic bundle pricing of two products with limited stock," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1154-1160, November.
    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. 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.
    4. 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.
    5. Christoph Burkard & Thomas Widjaja & Peter Buxmann, 2012. "Software Ecosystems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 4(1), pages 41-44, February.
    6. Thomas Koslowski & Jens Strüker, 2011. "ERP On Demand Platform," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(6), pages 359-367, December.
    7. Jian Pei, 2020. "A Survey on Data Pricing: from Economics to Data Science," Papers 2009.04462, arXiv.org, revised Nov 2020.
    8. 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.
    9. Arne Katzmarzik, 2011. "Product Differentiation for Software-as-a-Service Providers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(1), pages 19-31, February.
    10. 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.
    11. Manish Gangwar & Hemant K. Bhargava, 2023. "Pricing on‐demand services: Alternative ways of combining usage and access fees," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 11-27, January.
    12. 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.
    13. Larbig, Christine & Hottiger, Dieter, 2016. "Value-based-Pricing für Software in der Praxis," Marketing Review St.Gallen, Universität St.Gallen, Institut für Marketing und Customer Insight, vol. 33(6), pages 76-83.
    14. Radoslaw R. Okulski & Almas Heshmati, 2010. "Time Series Analysis of Global Airline Passengers Transportation Industry," TEMEP Discussion Papers 201065, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Jul 2010.
    15. Hajji, Adnéne & Pellerin, Robert & Léger, Pierre-Majorique & Gharbi, Ali & Babin, Gilbert, 2012. "Dynamic pricing models for ERP systems under network externality," International Journal of Production Economics, Elsevier, vol. 135(2), pages 708-715.

    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. Mayer, Stefan & Klein, Robert & Seiermann, Stephanie, 2013. "A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints," International Journal of Production Economics, Elsevier, vol. 145(2), pages 584-598.
    2. Page, Kenneth & Pérez, Juan & Telha, Claudio & García-Echalar, Andrés & López-Ospina, Héctor, 2021. "Optimal bundle composition in competition for continuous attributes," European Journal of Operational Research, Elsevier, vol. 293(3), pages 1168-1187.
    3. Ritwik Raj & Mark H. Karwan & Chase Murray & Lei Sun, 2022. "Itemized pricing in B2B bundles with diminishing reservation prices and loss averse customers," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(4), pages 375-392, August.
    4. Rustam Ibragimov & Johan Walden, 2010. "Optimal Bundling Strategies Under Heavy-Tailed Valuations," Management Science, INFORMS, vol. 56(11), pages 1963-1976, November.
    5. Li, Minqiang & Feng, Haiyang & Chen, Fuzan & Kou, Jisong, 2013. "Numerical investigation on mixed bundling and pricing of information products," International Journal of Production Economics, Elsevier, vol. 144(2), pages 560-571.
    6. Ashutosh Prasad & R. Venkatesh & Vijay Mahajan, 2010. "Optimal Bundling of Technological Products with Network Externality," Management Science, INFORMS, vol. 56(12), pages 2224-2236, December.
    7. Ashutosh Prasad & R. Venkatesh & Vijay Mahajan, 2017. "Temporal product bundling with myopic and strategic consumers: Manifestations and relative effectiveness," Quantitative Marketing and Economics (QME), Springer, vol. 15(4), pages 341-368, December.
    8. Sheikhzadeh, Mehdi & Elahi, Ehsan, 2013. "Product bundling: Impacts of product heterogeneity and risk considerations," International Journal of Production Economics, Elsevier, vol. 144(1), pages 209-222.
    9. Hemant K. Bhargava, 2013. "Mixed Bundling of Two Independently Valued Goods," Management Science, INFORMS, vol. 59(9), pages 2170-2185, September.
    10. Chakravarty, A. & Mild, A. & Taudes, A., 2013. "Bundling decisions in supply chains," European Journal of Operational Research, Elsevier, vol. 231(3), pages 617-630.
    11. Mihai Banciu & Esther Gal-Or & Prakash Mirchandani, 2010. "Bundling Strategies When Products Are Vertically Differentiated and Capacities Are Limited," Management Science, INFORMS, vol. 56(12), pages 2207-2223, December.
    12. Tarek Abdallah, 2019. "On the Benefit (Or Cost) of Large‐Scale Bundling," Production and Operations Management, Production and Operations Management Society, vol. 28(4), pages 955-969, April.
    13. Alexei Alexandrov & Özlem Bedre-Defolie, 2014. "The Equivalence of Bundling and Advance Sales," Marketing Science, INFORMS, vol. 33(2), pages 259-272, March.
    14. Gastón Llanes & Andrea Mantovani & Francisco Ruiz-Aliseda, 2019. "Entry into Complementary Good Markets with Network Effects," Strategy Science, INFORMS, vol. 4(4), pages 262-282, December.
    15. Ramanathan Subramaniam & R. Venkatesh, 2009. "Optimal Bundling Strategies in Multiobject Auctions of Complements or Substitutes," Marketing Science, INFORMS, vol. 28(2), pages 264-273, 03-04.
    16. Sang‐Hyun Kim & Jong‐Hee Hahn, 2022. "On the profitability of interfirm bundling in oligopolies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 657-673, August.
    17. Terrence August & Duy Dao & Kihoon Kim, 2019. "Market Segmentation and Software Security: Pricing Patching Rights," Management Science, INFORMS, vol. 65(10), pages 4575-4597, October.
    18. Hemant K. Bhargava, 2012. "Retailer-Driven Product Bundling in a Distribution Channel," Marketing Science, INFORMS, vol. 31(6), pages 1014-1021, November.
    19. Tuomas Sandholm & Anton Likhodedov, 2015. "Automated Design of Revenue-Maximizing Combinatorial Auctions," Operations Research, INFORMS, vol. 63(5), pages 1000-1025, October.
    20. Howell, Bronwyn E. & Potgieter, Petrus H., 2018. "Bundling information goods and access – simulating competition," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190345, International Telecommunications Society (ITS).

    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:spr:binfse:v:1:y:2009:i:6:p:452-462. 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.springer.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.