IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v316y2022i1d10.1007_s10479-021-04030-2.html
   My bibliography  Save this article

Optimal pricing and remanufacturing entry strategies of manufacturers in the presence of online reviews

Author

Listed:
  • Xin Yan

    (Shanghai University)

  • Xiaohua Han

    (Guangdong University of Foreign Studies)

Abstract

In recent years, online reviews are increasingly getting more concerns by firms and consumers because they can help mitigate consumers’ uncertainty on product quality and experienced attributes and significantly affect firms’ operational decisions. We in this study attempt to examine the remanufacturing entry and pricing strategies of manufacturers in the presence of online reviews. We consider an original equipment manufacturer (OEM) selling a new product over two periods in online retailing and determine whether and when to adopt a remanufacturing entry strategy in the market. We uncover online reviews’ quality-dimensional effect and experienced dimensional effect that jointly determine the OEM’s pricing and remanufacturing strategies. We show that in the presence of online reviews, the OEM will cautiously determine whether to adopt the first-period remanufacturing entry strategy and may also adopt the second-period remanufacturing entry strategy under certain conditions. Interestingly, the OEM will adopt the penetration pricing strategy for the new product and the remanufactured product (if available) when the actual product quality is sufficiently high, but the skimming pricing strategy otherwise, which is different from the uniform pricing strategy in the absence of online reviews. Our results also show that online reviews significantly affect the OEM’s profit and consumer surplus. In particular, when the actual product quality is high enough, the OEM and consumers will attain the “win–win” situation.

Suggested Citation

  • Xin Yan & Xiaohua Han, 2022. "Optimal pricing and remanufacturing entry strategies of manufacturers in the presence of online reviews," Annals of Operations Research, Springer, vol. 316(1), pages 59-92, September.
  • Handle: RePEc:spr:annopr:v:316:y:2022:i:1:d:10.1007_s10479-021-04030-2
    DOI: 10.1007/s10479-021-04030-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10479-021-04030-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10479-021-04030-2?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. Guan, Xu & Mantrala, Murali & Bian, Yiwen, 2019. "Strategic information management in a distribution channel," Journal of Retailing, Elsevier, vol. 95(1), pages 42-56.
    2. Manaswini Bhalla, 2013. "Waterfall Versus Sprinkler Product Launch Strategy: Influencing the Herd," Journal of Industrial Economics, Wiley Blackwell, vol. 61(1), pages 138-165, March.
    3. 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.
    4. Seung Ho Yoo & DaeSoo Kim & Myung-Sub Park, 2015. "Pricing and return policy under various supply contracts in a closed-loop supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 53(1), pages 106-126, January.
    5. 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.
    6. Ting Liu & Pasquale Schiraldi, 2012. "New product launch: herd seeking or herd preventing?," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 51(3), pages 627-648, November.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Vishal V. Agrawal & Atalay Atasu & Koert van Ittersum, 2015. "Remanufacturing, Third-Party Competition, and Consumers' Perceived Value of New Products," Management Science, INFORMS, vol. 61(1), pages 60-72, January.
    9. Atalay Atasu & Miklos Sarvary & Luk N. Van Wassenhove, 2008. "Remanufacturing as a Marketing Strategy," Management Science, INFORMS, vol. 54(10), pages 1731-1746, October.
    10. Yan, Wei & Xiong, Yu & Xiong, Zhongkai & Guo, Nian, 2015. "Bricks vs. clicks: Which is better for marketing remanufactured products?," European Journal of Operational Research, Elsevier, vol. 242(2), pages 434-444.
    11. Michael Luca, 2011. "Reviews, Reputation, and Revenue: The Case of Yelp.com," Harvard Business School Working Papers 12-016, Harvard Business School, revised Mar 2016.
    12. Monic Sun, 2012. "How Does the Variance of Product Ratings Matter?," Management Science, INFORMS, vol. 58(4), pages 696-707, April.
    13. Céline Michaud & Daniel Llerena, 2011. "Green consumer behaviour: an experimental analysis of willingness to pay for remanufactured products," Post-Print hal-01809083, HAL.
    14. Mustafa Akan & Barış Ata & R. Savaşkan-Ebert, 2013. "Dynamic pricing of remanufacturable products under demand substitution: a product life cycle model," Annals of Operations Research, Springer, vol. 211(1), pages 1-25, December.
    15. Céline Michaud & Daniel Llerena, 2011. "Green consumer behaviour: an experimental analysis of willingness to pay for remanufactured products," Business Strategy and the Environment, Wiley Blackwell, vol. 20(6), pages 408-420, September.
    16. 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.
    17. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    18. Xiaohua Han & Ying Shen & Yiwen Bian, 2020. "Optimal recovery strategy of manufacturers: Remanufacturing products or recycling materials?," Annals of Operations Research, Springer, vol. 290(1), pages 463-489, July.
    19. Mitra, Supriya & Webster, Scott, 2008. "Competition in remanufacturing and the effects of government subsidies," International Journal of Production Economics, Elsevier, vol. 111(2), pages 287-298, February.
    20. Bansal, Sangeeta & Gangopadhyay, Shubhashis, 2003. "Tax/subsidy policies in the presence of environmentally aware consumers," Journal of Environmental Economics and Management, Elsevier, vol. 45(2, Supple), pages 333-355, March.
    21. Dmitri Kuksov & Ying Xie, 2010. "Pricing, Frills, and Customer Ratings," Marketing Science, INFORMS, vol. 29(5), pages 925-943, 09-10.
    22. Han, Xiaohua & Yang, Qianxia & Shang, Jennifer & Pu, Xujin, 2017. "Optimal strategies for trade-old-for-remanufactured programs: Receptivity, durability, and subsidy," International Journal of Production Economics, Elsevier, vol. 193(C), pages 602-616.
    23. 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.
    24. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    Full references (including those not matched with items on IDEAS)

    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. 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).
    2. 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.
    3. 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.
    4. Ma, Peng & Gong, Yeming & Mirchandani, Prakash, 2020. "Trade-in for remanufactured products: Pricing with double reference effects," International Journal of Production Economics, Elsevier, vol. 230(C).
    5. Xitong Li, 2018. "Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold," Information Systems Research, INFORMS, vol. 29(3), pages 739-754, September.
    6. Yan Zhang & Wen Zhang, 2023. "Optimal pricing and greening decisions in a supply chain when considering market segmentation," Annals of Operations Research, Springer, vol. 324(1), pages 93-130, May.
    7. Xiaohua Han & Ying Shen & Yiwen Bian, 2020. "Optimal recovery strategy of manufacturers: Remanufacturing products or recycling materials?," Annals of Operations Research, Springer, vol. 290(1), pages 463-489, July.
    8. 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.
    9. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    10. 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.
    11. 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.
    12. Zhang, Yunrong & Hong, Zhaofu & Chen, Zhixiang & Glock, Christoph H., 2020. "Tax or subsidy? Design and selection of regulatory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 287(3), pages 885-900.
    13. Christian Matt & Thomas Hess, 2016. "Product fit uncertainty and its effects on vendor choice: an experimental study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(1), pages 83-93, February.
    14. Wang, Yacan & Hazen, Benjamin T., 2016. "Consumer product knowledge and intention to purchase remanufactured products," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 460-469.
    15. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
    16. Zheng, Xiao-Xue & Li, Deng-Feng & Liu, Zhi & Jia, Fu & Sheu, Jiuh-Biing, 2019. "Coordinating a closed-loop supply chain with fairness concerns through variable-weighted Shapley values," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 227-253.
    17. De Silva, Muthu & Wang, Pengji & Kuah, Adrian T.H., 2021. "Why wouldn’t green appeal drive purchase intention? Moderation effects of consumption values in the UK and China," Journal of Business Research, Elsevier, vol. 122(C), pages 713-724.
    18. Ehsan Shekarian & Simme Douwe Flapper, 2021. "Analyzing the Structure of Closed-Loop Supply Chains: A Game Theory Perspective," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    19. Li Yimeng & Franco Mariuzzo & Nikolaos Korfiatis & Yu Xiong, 2017. "Information Strategies of new Product Introduction in Vertical Markets," Working Paper series, University of East Anglia, Centre for Competition Policy (CCP) 2017-03, Centre for Competition Policy, University of East Anglia, Norwich, UK..
    20. 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.

    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:annopr:v:316:y:2022:i:1:d:10.1007_s10479-021-04030-2. 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.