IDEAS home Printed from https://ideas.repec.org/a/pal/jorsoc/v58y2007i11d10.1057_palgrave.jors.2602400.html
   My bibliography  Save this article

Manufacturer's pricing strategies in a single-period framework under price-dependent stochastic demand with asymmetric risk-preference information

Author

Listed:
  • F J Arcelus

    (Universidad Pública de Navarra
    University of New Brunswick)

  • S Kumar

    (JDA Software (India) Pvt. Ltd)

  • G Srinivasan

    (University of New Brunswick)

Abstract

This paper considers a single-period problem designed to analyse the pricing strategy of a manufacturer who does not possess full information about the retailer's risk-preferences. The retailer, who faces a price-dependent stochastic demand, is a maximizer of the risk-adjusted expected profit, rather than of the expected profit. The paper first evaluates the implication of the various risk-preferences of the retailer on the manufacturer's policy under a full-information scenario. Then, it considers a partial information scenario and computes the expected value of perfect information. Finally, it assesses the impact on the manufacturer's profit of sharing the retailer's risk through the introduction of a buyback policy. Linear or iso-elastic demand functions and additive or multiplicative demand error structures capture the demand distributions. Analytical results as well as numerical examples illustrate the main features of the model.

Suggested Citation

  • F J Arcelus & S Kumar & G Srinivasan, 2007. "Manufacturer's pricing strategies in a single-period framework under price-dependent stochastic demand with asymmetric risk-preference information," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(11), pages 1449-1458, November.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:11:d:10.1057_palgrave.jors.2602400
    DOI: 10.1057/palgrave.jors.2602400
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/palgrave.jors.2602400
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/palgrave.jors.2602400?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. Khouja, Moutaz, 1999. "The single-period (news-vendor) problem: literature review and suggestions for future research," Omega, Elsevier, vol. 27(5), pages 537-553, October.
    2. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    3. Louis Eeckhoudt & Christian Gollier & Harris Schlesinger, 1995. "The Risk-Averse (and Prudent) Newsboy," Management Science, INFORMS, vol. 41(5), pages 786-794, May.
    4. Keren, Baruch & Pliskin, Joseph S., 2006. "A benchmark solution for the risk-averse newsvendor problem," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1643-1650, November.
    5. Hing-Ling Lau, Amy & Lau, Hon-Shiang, 2001. "Some two-echelon style-goods inventory models with asymmetric market information," European Journal of Operational Research, Elsevier, vol. 134(1), pages 29-42, October.
    6. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    7. Vipul Agrawal & Sridhar Seshadri, 2000. "Impact of Uncertainty and Risk Aversion on Price and Order Quantity in the Newsvendor Problem," Manufacturing & Service Operations Management, INFORMS, vol. 2(4), pages 410-423, July.
    8. Agrell, P.J.Per J. & Lindroth, Robert & Norrman, Andreas, 2004. "Risk, information and incentives in telecom supply chains," International Journal of Production Economics, Elsevier, vol. 90(1), pages 1-16, July.
    9. Wang, Qunzhi & Tsao, De-bi, 2006. "Supply contract with bidirectional options: The buyer's perspective," International Journal of Production Economics, Elsevier, vol. 101(1), pages 30-52, May.
    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. Keyuan Cai & Zhen He & Yaqi Lou & Shuguang He, 2020. "Risk-aversion information in a supply chain with price and warranty competition," Annals of Operations Research, Springer, vol. 287(1), pages 61-107, April.
    2. Cui-Hua Zhang & Peng Xing & Jin Li, 2018. "Optimal Strategy of Social Responsibility and Quality Effort in Service Supply Chain with Quality Preference," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(03), pages 1-43, June.
    3. Zhen Zhang & Songtao Zhang & Mingshi Yue, 2021. "Joint pricing and replenishment policies for risk‐averse retailers under duopolistic competition," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(7), pages 1849-1864, October.
    4. Salvatore Cannella & Roberto Dominguez & Jose M. Framinan & Manfredi Bruccoleri, 2018. "Demand Sharing Inaccuracies in Supply Chains: A Simulation Study," Complexity, Hindawi, vol. 2018, pages 1-13, July.

    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. Arcelus, F.J. & Kumar, Satyendra & Srinivasan, G., 2012. "Risk tolerance and a retailer's pricing and ordering policies within a newsvendor framework," Omega, Elsevier, vol. 40(2), pages 188-198, April.
    2. Vipin, B. & Amit, R.K., 2017. "Loss aversion and rationality in the newsvendor problem under recourse option," European Journal of Operational Research, Elsevier, vol. 261(2), pages 563-571.
    3. Qin, Yan & Wang, Ruoxuan & Vakharia, Asoo J. & Chen, Yuwen & Seref, Michelle M.H., 2011. "The newsvendor problem: Review and directions for future research," European Journal of Operational Research, Elsevier, vol. 213(2), pages 361-374, September.
    4. Brian Tomlin & Yimin Wang, 2005. "On the Value of Mix Flexibility and Dual Sourcing in Unreliable Newsvendor Networks," Manufacturing & Service Operations Management, INFORMS, vol. 7(1), pages 37-57, June.
    5. Jörnsten, Kurt & Lise Nonås, Sigrid & Sandal, Leif & Ubøe, Jan, 2012. "Transfer of risk in the newsvendor model with discrete demand," Omega, Elsevier, vol. 40(3), pages 404-414.
    6. Sévi, Benoît, 2010. "The newsvendor problem under multiplicative background risk," European Journal of Operational Research, Elsevier, vol. 200(3), pages 918-923, February.
    7. Wang, Charles X. & Webster, Scott & Suresh, Nallan C., 2009. "Would a risk-averse newsvendor order less at a higher selling price?," European Journal of Operational Research, Elsevier, vol. 196(2), pages 544-553, July.
    8. Felix T. S. Chan & Xinsheng Xu, 2019. "The Loss-Averse Retailer’s Order Decisions Under Risk Management," Mathematics, MDPI, vol. 7(7), pages 1-16, July.
    9. Wang, Charles X. & Webster, Scott, 2009. "The loss-averse newsvendor problem," Omega, Elsevier, vol. 37(1), pages 93-105, February.
    10. Mandal, Prasenjit & Kaul, Rupali & Jain, Tarun, 2018. "Stocking and pricing decisions under endogenous demand and reference point effects," European Journal of Operational Research, Elsevier, vol. 264(1), pages 181-199.
    11. Mahesh Nagarajan & Steven Shechter, 2014. "Prospect Theory and the Newsvendor Problem," Management Science, INFORMS, vol. 60(4), pages 1057-1062, April.
    12. Li, Xiang & Qi, Xiangtong, 2021. "On pricing and quality decisions with risk aversion," Omega, Elsevier, vol. 98(C).
    13. Sayın, F. & Karaesmen, F. & Özekici, S., 2014. "Newsvendor model with random supply and financial hedging: Utility-based approach," International Journal of Production Economics, Elsevier, vol. 154(C), pages 178-189.
    14. Zhou, Yan-ju & Chen, Xiao-hong & Wang, Zong-run, 2008. "Optimal ordering quantities for multi-products with stochastic demand: Return-CVaR model," International Journal of Production Economics, Elsevier, vol. 112(2), pages 782-795, April.
    15. Wang, Daao & Dimitrov, Stanko & Jian, Lirong, 2020. "Optimal inventory decisions for a risk-averse retailer when offering layaway," European Journal of Operational Research, Elsevier, vol. 284(1), pages 108-120.
    16. Wang, Ruopeng & Wang, Jinting, 2018. "Procurement strategies with quantity-oriented reference point and loss aversion," Omega, Elsevier, vol. 80(C), pages 1-11.
    17. Chahar, Kiran & Taaffe, Kevin, 2009. "Risk averse demand selection with all-or-nothing orders," Omega, Elsevier, vol. 37(5), pages 996-1006, October.
    18. He, Haonan & Wang, Shanyong, 2019. "Cost-benefit associations in consumer inventory problem with uncertain benefit," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 271-284.
    19. Herweg, Fabian, 2013. "The expectation-based loss-averse newsvendor," Economics Letters, Elsevier, vol. 120(3), pages 429-432.
    20. Shen, Houcai & Pang, Zhan & Cheng, T.C.E., 2011. "The component procurement problem for the loss-averse manufacturer with spot purchase," International Journal of Production Economics, Elsevier, vol. 132(1), pages 146-153, July.

    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:jorsoc:v:58:y:2007:i:11:d:10.1057_palgrave.jors.2602400. 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-journals.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.