IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v296y2022i2p570-586.html
   My bibliography  Save this article

Supplier’s pricing strategy in the presence of consumer reviews

Author

Listed:
  • Wang, Jiayun
  • Shum, Stephen
  • Feng, Gengzhong

Abstract

We study the supplier’s optimal pricing strategy in the existence of consumer reviews and retailer’s strategic inventory. While the retailer may offer a low introductory price to attract more consumer reviews, how the supplier should manage its wholesale price in the presence of consumer reviews remains a question. We consider a supply chain model where consumers arriving later will update their beliefs about product quality from the reviews given by earlier consumers. We find that supplier’s optimal wholesale price may decrease in the product quality. Also when consumers’ likelihood to write reviews changes, the supplier should change its wholesale price aiming at improving consumer reviews rather than controlling retailer’s inventory. Finally, the retailer’s ability to carry inventory can alleviate the double marginalization effect even in the presence of consumer reviews. Our results provide guidance for the supplier to manage its wholesale price strategy when faced with consumer reviews and retailer’s strategic inventory.

Suggested Citation

  • Wang, Jiayun & Shum, Stephen & Feng, Gengzhong, 2022. "Supplier’s pricing strategy in the presence of consumer reviews," European Journal of Operational Research, Elsevier, vol. 296(2), pages 570-586.
  • Handle: RePEc:eee:ejores:v:296:y:2022:i:2:p:570-586
    DOI: 10.1016/j.ejor.2021.04.008
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221721003209
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2021.04.008?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. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
    2. Yubo Chen & Jinhong Xie, 2005. "Third-Party Product Review and Firm Marketing Strategy," Marketing Science, INFORMS, vol. 24(2), pages 218-240, February.
    3. Mantin, Benny & Jiang, Lifei, 2017. "Strategic inventories with quality deterioration," European Journal of Operational Research, Elsevier, vol. 258(1), pages 155-164.
    4. Bar Ifrach & Costis Maglaras & Marco Scarsini & Anna Zseleva, 2019. "Bayesian Social Learning from Consumer Reviews," Operations Research, INFORMS, vol. 67(5), pages 1209-1221, September.
    5. Baojun Jiang & Bicheng Yang, 2019. "Quality and Pricing Decisions in a Market with Consumer Information Sharing," Management Science, INFORMS, vol. 65(1), pages 272-285, January.
    6. Liu, Yong & Qin, Fei & Fry, Michael J. & Raturi, Amitabh S., 2012. "Multi-period modeling of two-way price commitment under price-dependent demand," European Journal of Operational Research, Elsevier, vol. 221(3), pages 546-556.
    7. Xu Guan & Yulan Wang & Zelong Yi & Ying‐Ju Chen, 2020. "Inducing Consumer Online Reviews Via Disclosure," Production and Operations Management, Production and Operations Management Society, vol. 29(8), pages 1956-1971, August.
    8. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
    9. Krishnan Anand & Ravi Anupindi & Yehuda Bassok, 2008. "Strategic Inventories in Vertical Contracts," Management Science, INFORMS, vol. 54(10), pages 1792-1804, October.
    10. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    11. Wang, Xuerong & Leng, Mingming & Song, Jingpu & Luo, Chunlin & Hui, Sunyuen, 2019. "Managing a supply chain under the impact of customer reviews: A two-period game analysis," European Journal of Operational Research, Elsevier, vol. 277(2), pages 454-468.
    12. 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.
    13. Anil Arya & Brian Mittendorf, 2013. "Managing Strategic Inventories via Manufacturer-to-Consumer Rebates," Management Science, INFORMS, vol. 59(4), pages 813-818, April.
    14. 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.
    15. Jean Tirole, 1988. "The Theory of Industrial Organization," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200716, April.
    16. Yiangos Papanastasiou, 2020. "Newsvendor Decisions with Two-Sided Learning," Management Science, INFORMS, vol. 66(11), pages 5408-5426, November.
    17. Pınar Keskinocak & Kasarin Chivatxaranukul & Paul M. Griffin, 2008. "Strategic inventory in capacitated supply chain procurement," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 29(1), pages 23-36.
    18. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2018. "User-Generated Content and Competing Firms’ Product Design," Management Science, INFORMS, vol. 64(10), pages 4608-4628, October.
    19. Dmitri Kuksov & Ying Xie, 2010. "Pricing, Frills, and Customer Ratings," Marketing Science, INFORMS, vol. 29(5), pages 925-943, 09-10.
    20. Man Yu & Laurens Debo & Roman Kapuscinski, 2016. "Strategic Waiting for Consumer-Generated Quality Information: Dynamic Pricing of New Experience Goods," Management Science, INFORMS, vol. 62(2), pages 410-435, February.
    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. Xin, Baogui & Song, Yaping & Xie, Lei, 2024. "Dynamic pricing and service customization strategy for IoT-based smart products," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    2. Liu, Xuxu & Zhao, Da & Ji, Qingkai & Zeng, Yinlian & Hu, Xiangpei, 2023. "Managing strategic inventory under retailer competition," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1206-1219.

    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. Cui Zhao & Xiaoshuai Peng & Zhendong Li, 2023. "The influence of online customer reviews on two-stage product strategy in a competitive market," Annals of Operations Research, Springer, vol. 326(1), pages 411-503, July.
    2. Guo, Qiaozhen & Chen, Ying-Ju & Huang, Wei, 2022. "Dynamic pricing of new experience products with dual-channel social learning and online review manipulations," Omega, Elsevier, vol. 109(C).
    3. Qiao, Haike & Su, Qin, 2021. "Distribution channel and licensing strategy choice considering consumer online reviews in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    4. Cui Zhao & Xiaojun Wang & Yongbo Xiao & Jie Sheng, 2022. "Effects of online reviews and competition on quality and pricing strategies," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3840-3858, October.
    5. Yang, Wenjuan & Zhang, Jiantong & Yan, Hong, 2022. "Promotions of online reviews from a channel perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    6. Li, Feng & Du, Timon C. & Wei, Ying, 2023. "This is what’s in store for you: How online social learning affects product positioning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    7. Abhishek Roy & Stephen M. Gilbert & Guoming Lai, 2019. "The Implications of Visibility on the Use of Strategic Inventory in a Supply Chain," Management Science, INFORMS, vol. 65(4), pages 1752-1767, April.
    8. Li, Yiming & Li, Gang & Tayi, Giri Kumar & Cheng, T.C.E., 2019. "Omni-channel retailing: Do offline retailers benefit from online reviews?," International Journal of Production Economics, Elsevier, vol. 218(C), pages 43-61.
    9. Rui Hou & Zibin Cui & You Zhao, 2022. "Pricing leadership decisions of competing firms with consumer learning," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(6), pages 2326-2346, September.
    10. Hongpeng Wang & Rong Du & Jin Li & Weiguo Fan, 2020. "Subdivided or aggregated online review systems: Which is better for online takeaway vendors?," Electronic Commerce Research, Springer, vol. 20(4), pages 915-944, December.
    11. Lu, Danning & Wang, Pengyu, 2024. "Dynamic pricing for new experience products in pre-sale mode with social learning," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    12. Mantin, Benny & Veldman, Jasper, 2019. "Managing strategic inventories under investment in process improvement," European Journal of Operational Research, Elsevier, vol. 279(3), pages 782-794.
    13. 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.
    14. Young Kwark & Gene Moo Lee & Paul A. Pavlou & Liangfei Qiu, 2021. "On the Spillover Effects of Online Product Reviews on Purchases: Evidence from Clickstream Data," Information Systems Research, INFORMS, vol. 32(3), pages 895-913, September.
    15. Xin, Baogui & Song, Yaping & Xie, Lei, 2024. "Dynamic pricing and service customization strategy for IoT-based smart products," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
    16. Miao, Jie & Liu, Aijun & Wang, Ruiyao & Lu, Hui, 2022. "The influence of information asymmetry on the strategic inventory of deteriorating commodity," Omega, Elsevier, vol. 107(C).
    17. Jianqing Chen & Zhiling Guo & Jian Huang, 2022. "An Economic Analysis of Rebates Conditional on Positive Reviews," Information Systems Research, INFORMS, vol. 33(1), pages 224-243, March.
    18. Juan Feng & Xin Li & Xiaoquan (Michael) Zhang, 2019. "Online Product Reviews-Triggered Dynamic Pricing: Theory and Evidence," Information Systems Research, INFORMS, vol. 30(4), pages 1107-1123, December.
    19. Yabing Jiang & Hong Guo, 2015. "Design of Consumer Review Systems and Product Pricing," Information Systems Research, INFORMS, vol. 26(4), pages 714-730, December.
    20. Zhang, Tao & Li, Gang & Cheng, T.C.E. & Lai, Kin Keung, 2017. "Welfare economics of review information: Implications for the online selling platform owner," International Journal of Production Economics, Elsevier, vol. 184(C), pages 69-79.

    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:ejores:v:296:y:2022:i:2:p:570-586. 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/eor .

    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.