IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v227y2020ics0925527320300566.html
   My bibliography  Save this article

Multi-period pricing in the presence of competition and social influence

Author

Listed:
  • Sun, Shuxiao
  • Zheng, Xiaona
  • Sun, Luping

Abstract

This paper examines Single and Dynamic Pricing Policies of two competing firms over two periods in the presence of social influence. Assuming two firms adopt the same pricing policy, we find that, under either pricing policy, firm profits always decrease with the degree of social influence. Firms prefer Dynamic Pricing Policy when social influence is either relatively weak or sufficiently strong (for firms under Dynamic Pricing Policy to set zero prices in the first period). Otherwise, Single Pricing Policy is more preferable. The conclusions are similar when the market size varies over periods, except that Dynamic Pricing Policy is always more profitable if the market size in period 2 is sufficiently large. We have further compared the two pricing policies with Posted Pricing Policy. The results show that Dynamic Pricing Policy dominates when social influence is relatively weak, while Posted Pricing Policy dominates when social influence is sufficiently strong because of the synergy between social influence and the reference price effect. Finally, when each firm freely chooses either Single or Dynamic Pricing Policy, we find that, if the degree of social influence is relatively small, two asymmetric equilibria exist where two firms adopt different pricing policies. If the degree of social influence is very large, however, the unique equilibrium is both firms adopting Dynamic Pricing Policy. These findings provide important implications for firms to make more informed pricing decisions in an increasingly competitive environment with strong social influence.

Suggested Citation

  • Sun, Shuxiao & Zheng, Xiaona & Sun, Luping, 2020. "Multi-period pricing in the presence of competition and social influence," International Journal of Production Economics, Elsevier, vol. 227(C).
  • Handle: RePEc:eee:proeco:v:227:y:2020:i:c:s0925527320300566
    DOI: 10.1016/j.ijpe.2020.107662
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527320300566
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2020.107662?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. Yiangos Papanastasiou & Nicos Savva, 2017. "Dynamic Pricing in the Presence of Social Learning and Strategic Consumers," Management Science, INFORMS, vol. 63(4), pages 919-939, April.
    2. Gabszewicz, Jean J. & Garcia, Filomena, 2008. "A note on expanding networks and monopoly pricing," Economics Letters, Elsevier, vol. 98(1), pages 9-15, January.
    3. Tong, Tingting & Dai, Hongyan & Xiao, Qin & Yan, Nina, 2020. "Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market," International Journal of Production Economics, Elsevier, vol. 219(C), pages 375-385.
    4. Grilo, Isabel & Shy, Oz & Thisse, Jacques-Francois, 2001. "Price competition when consumer behavior is characterized by conformity or vanity," Journal of Public Economics, Elsevier, vol. 80(3), pages 385-408, June.
    5. Yang Liu & Juan Feng & Xiuwu Liao, 2017. "When Online Reviews Meet Sales Volume Information: Is More or Accurate Information Always Better?," Information Systems Research, INFORMS, vol. 28(4), pages 723-743, December.
    6. Sato, Kimitoshi & Sawaki, Katsushige, 2013. "A continuous-time dynamic pricing model knowing the competitor’s pricing strategy," European Journal of Operational Research, Elsevier, vol. 229(1), pages 223-229.
    7. Corneo, Giacomo & Jeanne, Olivier, 1997. "Conspicuous consumption, snobbism and conformism," Journal of Public Economics, Elsevier, vol. 66(1), pages 55-71, October.
    8. A. RamaN & F.M. Bass, 2002. "A gereral test of reference price theory in the presence of threshold effects," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(2), pages 205-226.
    9. Hongbin Cai & Yuyu Chen & Hanming Fang, 2009. "Observational Learning: Evidence from a Randomized Natural Field Experiment," American Economic Review, American Economic Association, vol. 99(3), pages 864-882, June.
    10. Bensaid, Bernard & Lesne, Jean-Philippe, 1996. "Dynamic monopoly pricing with network externalities," International Journal of Industrial Organization, Elsevier, vol. 14(6), pages 837-855, October.
    11. Kopalle, Praveen K. & Kannan, P.K. & Boldt, Lin Bao & Arora, Neeraj, 2012. "The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies," Journal of Retailing, Elsevier, vol. 88(1), pages 102-114.
    12. Bagwell, Laurie Simon & Bernheim, B Douglas, 1996. "Veblen Effects in a Theory of Conspicuous Consumption," American Economic Review, American Economic Association, vol. 86(3), pages 349-373, June.
    13. Brun, Alessandro & Caniato, Federico & Caridi, Maria & Castelli, Cecilia & Miragliotta, Giovanni & Ronchi, Stefano & Sianesi, Andrea & Spina, Gianluca, 2008. "Logistics and supply chain management in luxury fashion retail: Empirical investigation of Italian firms," International Journal of Production Economics, Elsevier, vol. 114(2), pages 554-570, August.
    14. Peng, Weicai & Tian, Zhongjun & Wang, Yefeng, 2020. "Price guarantee for advance selling in the presence of preorder-dependent social learning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 115-122.
    15. Chun‐Hung Chiu & Tsan‐Ming Choi & Xin Dai & Bin Shen & Jin‐Hui Zheng, 2018. "Optimal Advertising Budget Allocation in Luxury Fashion Markets with Social Influences: A Mean‐Variance Analysis," Production and Operations Management, Production and Operations Management Society, vol. 27(8), pages 1611-1629, August.
    16. Wilfred Amaldoss & Sanjay Jain, 2005. "Conspicuous Consumption and Sophisticated Thinking," Management Science, INFORMS, vol. 51(10), pages 1449-1466, October.
    17. Gene M. Grossman & Carl Shapiro, 1984. "Informative Advertising with Differentiated Products," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 51(1), pages 63-81.
    18. Koenig, Matthias & Meissner, Joern, 2010. "List pricing versus dynamic pricing: Impact on the revenue risk," European Journal of Operational Research, Elsevier, vol. 204(3), pages 505-512, August.
    19. Dasu, Sriram & Tong, Chunyang, 2010. "Dynamic pricing when consumers are strategic: Analysis of posted and contingent pricing schemes," European Journal of Operational Research, Elsevier, vol. 204(3), pages 662-671, August.
    20. Shen, Bin & Qian, Rongrong & Choi, Tsan-Ming, 2017. "Selling luxury fashion online with social influences considerations: Demand changes and supply chain coordination," International Journal of Production Economics, Elsevier, vol. 185(C), pages 89-99.
    21. Krishnamurthi, Lakshman & Mazumdar, Tridib & Raj, S P, 1992. "Asymmetric Response to Price in Consumer Brand Choice and Purchase Quantity Decisions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(3), pages 387-400, December.
    22. Parsons, Andrew G. & Ballantine, Paul W. & Ali, Ashleigh & Grey, Hannah, 2014. "Deal is on! Why people buy from daily deal websites," Journal of Retailing and Consumer Services, Elsevier, vol. 21(1), pages 37-42.
    23. Pnina Feldman & Yiangos Papanastasiou & Ella Segev, 2019. "Social Learning and the Design of New Experience Goods," Management Science, INFORMS, vol. 65(5), pages 1502-1519, April.
    24. Gadi Fibich & Arieh Gavious & Oded Lowengart, 2003. "Explicit Solutions of Optimization Models and Differential Games with Nonsmooth (Asymmetric) Reference-Price Effects," Operations Research, INFORMS, vol. 51(5), pages 721-734, October.
    25. Praveen K. Kopalle & Ambar G. Rao & João L. Assunção, 1996. "Asymmetric Reference Price Effects and Dynamic Pricing Policies," Marketing Science, INFORMS, vol. 15(1), pages 60-85.
    26. Octavian Carare, 2012. "The Impact Of Bestseller Rank On Demand: Evidence From The App Market," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 717-742, August.
    27. Ku, Cheng-Yuan & Chang, Yi-Wen, 2012. "Optimal production and selling policies with fixed-price contracts and contingent-price offers," International Journal of Production Economics, Elsevier, vol. 137(1), pages 94-101.
    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. Li, Mengmeng & Mizuno, Shinji, 2022. "Comparison of dynamic and static pricing strategies in a dual-channel supply chain with inventory control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    2. Liu, Zhi & Zheng, Xiao-Xue & Li, Deng-Feng & Liao, Chen-Nan & Sheu, Jiuh-Biing, 2021. "A novel cooperative game-based method to coordinate a sustainable supply chain under psychological uncertainty in fairness concerns," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    3. Zhu, Guowei & Zhang, Jianxiong & Xing, Enfeng & Han, Danke, 2022. "Pricing and quality decisions with conspicuous consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    4. Wenyi Wang & Qiang Guo, 2023. "Subscription strategy choices of network video platforms in the presence of social influence," Electronic Commerce Research, Springer, vol. 23(1), pages 577-604, 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. Zhenyu Hu & Xin Chen & Peng Hu, 2016. "Technical Note—Dynamic Pricing with Gain-Seeking Reference Price Effects," Operations Research, INFORMS, vol. 64(1), pages 150-157, February.
    2. Hashimoto, Kaito & Matsubayashi, Nobuo, 2014. "A note on dynamic monopoly pricing under consumption externalities," Economics Letters, Elsevier, vol. 124(1), pages 1-8.
    3. Wei, Ying & Li, Feng, 2020. "Omnichannel supply chain operations for luxury products with conspicuous consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    4. Xiaofang Wang & Yaoyao Yang & Jun Zhuang, 2023. "Pricing Decisions with Social Interactions: A Game-Theoretic Model," Decision Analysis, INFORMS, vol. 20(1), pages 40-54, March.
    5. Shen, Bin & Qian, Rongrong & Choi, Tsan-Ming, 2017. "Selling luxury fashion online with social influences considerations: Demand changes and supply chain coordination," International Journal of Production Economics, Elsevier, vol. 185(C), pages 89-99.
    6. Chang Hwan Lee & Tsan‐Ming Choi & T. C. Edwin Cheng, 2021. "Operations strategies with snobbish and strategic consumers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 327-343, April.
    7. Zhu, Guowei & Zhang, Jianxiong & Xing, Enfeng & Han, Danke, 2022. "Pricing and quality decisions with conspicuous consumers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    8. Zhenyu Hu & Javad Nasiry, 2018. "Are Markets with Loss-Averse Consumers More Sensitive to Losses?," Management Science, INFORMS, vol. 64(3), pages 1384-1395, March.
    9. Zhang, Qiao & Chen, Jing & Zaccour, Georges, 2020. "Market targeting and information sharing with social influences in a luxury supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    10. Stefan Buehler & Daniel Halbheer, 2011. "Selling when Brand Image Matters," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 167(1), pages 102-118, March.
    11. Necati Tereyağoğlu & Peter S. Fader & Senthil Veeraraghavan, 2018. "Multiattribute Loss Aversion and Reference Dependence: Evidence from the Performing Arts Industry," Management Science, INFORMS, vol. 64(1), pages 421-436, January.
    12. Oz Shy, 2011. "A Short Survey of Network Economics," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 38(2), pages 119-149, March.
    13. Zhang, Juan & Gou, Qinglong & Liang, Liang & Huang, Zhimin, 2013. "Supply chain coordination through cooperative advertising with reference price effect," Omega, Elsevier, vol. 41(2), pages 345-353.
    14. Wang, Yingjia & Lin, Jiaxin & Choi, Tsan-Ming, 2020. "Gray market and counterfeiting in supply chains: A review of the operations literature and implications to luxury industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    15. Bing Han & David Hirshleifer & Johan Walden, 2023. "Visibility Bias in the Transmission of Consumption Beliefs and Undersaving," Journal of Finance, American Finance Association, vol. 78(3), pages 1647-1704, June.
    16. Laussel, Didier & Van Long, Ngo & Resende, Joana, 2015. "Network effects, aftermarkets and the Coase conjecture: A dynamic Markovian approach," International Journal of Industrial Organization, Elsevier, vol. 41(C), pages 84-96.
    17. Martín-Herrán, Guiomar & Taboubi, Sihem, 2015. "Price coordination in distribution channels: A dynamic perspective," European Journal of Operational Research, Elsevier, vol. 240(2), pages 401-414.
    18. Shen, Bin & Minner, Stefan & Chan, Hau-Ling & Brun, Alessandro, 2020. "Logistics and supply chain management in the luxury industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    19. Choi, Tsan-Ming & Liu, Na, 2019. "Optimal advertisement budget allocation and coordination in luxury fashion supply chains with multiple brand-tier products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 95-107.
    20. Zhang, Mengyao & Gou, Qinglong & Yu, Lili & Zhang, Juzhi, 2022. "Pricing decisions for a social comparison product supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).

    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:eee:proeco:v:227:y:2020:i:c:s0925527320300566. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.