IDEAS home Printed from https://ideas.repec.org/a/ibn/ibrjnl/v15y2022i4p1.html
   My bibliography  Save this article

A Systematic Literature Review of Dynamic Pricing Strategies

Author

Listed:
  • Michael Neubert

Abstract

Due to its success and acceptance in the airline and hospitality industry and the growing availability of behavioral, engagement, and attitudinal consumer data, dynamic pricing strategies are gaining popularity. The purpose of this systematic literature review is to answer the research question about how do dynamic pricing strategies affect customer perceptions and behaviors to avoid negative consumer reactions. The synthesis of over 50 articles revealed eight different research streams like for example the factors moderating the impact of dynamic pricing on customer behavior, strategic purchasing behavior in response to dynamic pricing, effect of dynamic pricing on customer perception of fairness, personalized dynamic pricing (PDP) and channel differentiated pricing. To advance future research, this systematic literature review identified the six propositions for further research like for example the assessment of the efficacy of different types of communication by firms seeking to mitigate the negative impacts of dynamic pricing and the assessment of the role and relevant importance of consumers’ personal characteristics upon their perceptions of price changes. The findings of this study have a practical impact for managers and scholars. Scholars may use them to update their research agendas and managers to optimize their pricing strategies to increase revenues.

Suggested Citation

  • Michael Neubert, 2022. "A Systematic Literature Review of Dynamic Pricing Strategies," International Business Research, Canadian Center of Science and Education, vol. 15(4), pages 1-1, April.
  • Handle: RePEc:ibn:ibrjnl:v:15:y:2022:i:4:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ibr/article/download/0/0/46903/50155
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/ibr/article/view/0/46903
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rajagopal, 2015. "Consumer Value Management," Palgrave Macmillan Books, in: The Butterfly Effect in Competitive Markets, chapter 5, pages 119-143, Palgrave Macmillan.
    2. Marshall Fisher & Santiago Gallino & Jun Li, 2018. "Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments," Management Science, INFORMS, vol. 64(6), pages 2496-2514, June.
    3. Hsieh, Tsu-Pang & Dye, Chung-Yuan, 2017. "Optimal dynamic pricing for deteriorating items with reference price effects when inventories stimulate demand," European Journal of Operational Research, Elsevier, vol. 262(1), pages 136-150.
    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. Prakash, David & Spann, Martin, 2022. "Dynamic pricing and reference price effects," Journal of Business Research, Elsevier, vol. 152(C), pages 300-314.

    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. Jun Li & Serguei Netessine & Sergei Koulayev, 2018. "Price to Compete … with Many: How to Identify Price Competition in High-Dimensional Space," Management Science, INFORMS, vol. 64(9), pages 4118-4136, September.
    2. Adis Puska & Admir Beganovic & Allen Popovic Beganovic, 2019. "Consumers' Loyalty Toward Dark Chocolate," Economic Thought and Practice, Department of Economics and Business, University of Dubrovnik, vol. 28(1), pages 245-266, june.
    3. Wuryanti Kuncoro & Hanifah Azhar Windyasari, 2021. "Consumer Purchasing Decision Improvement Model through Brand Image, Religiosity, Brand Ambassador and Brand Awareness," International Business Research, Canadian Center of Science and Education, vol. 14(8), pages 1-42, August.
    4. Chenavaz, Régis & Paraschiv, Corina, 2018. "Dynamic pricing for inventories with reference price effects," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 12, pages 1-16.
    5. Qi Chen & Qi Xu & Wenjie Wang, 2019. "Optimal Policies for the Pricing and Replenishment of Fashion Apparel considering the Effect of Fashion Level," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    6. Agossadou, A.J. & Fiamohe, R. & Tossou, H. & Kinkpe, T., 2018. "Agribusiness opportunities for youth in Nigeria: Farmers perceptions and willingness to pay for mechanized harvesting equipment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277553, International Association of Agricultural Economists.
    7. Bingyan Han, 2021. "Understanding algorithmic collusion with experience replay," Papers 2102.09139, arXiv.org, revised Mar 2021.
    8. Nashrul Hakimi & Noorshella Binti Che Nawi & Mohamad Ismail & Md Zaki Muhamad Hasan & Asrul Hery Ibrahim & Noorul Azwin Md Nasir, 2018. "The Roles of Islamic Religiosity, Brand Image and Knowledge on Relationship between Perceived Value and Tourist Satisfaction: A Review," International Journal of Business and Management, Canadian Center of Science and Education, vol. 13(8), pages 101-101, June.
    9. Georgios Alaveras & Estrella Gomez Herrera & Bertin Martens, 2015. "Geographic Fragmentation in the EU Market for e-Books: The case of Amazon," JRC Working Papers on Digital Economy 2015-13, Joint Research Centre.
    10. Heejae Shin & Wirawan Dahana, 2017. "Asymmetric Persuasive Effects of Gain- and Loss-related Messages in Electronic Word of Mouth," International Journal of Business and Management, Canadian Center of Science and Education, vol. 12(12), pages 1-82, November.
    11. Jianhong He & Yaling Lei & Xiao Fu, 2019. "Do Consumer’s Green Preference and the Reference Price Effect Improve Green Innovation? A Theoretical Model Using the Food Supply Chain as a Case," IJERPH, MDPI, vol. 16(24), pages 1-15, December.
    12. Dominik Gutt & Jürgen Neumann & Wael Jabr & Dennis Kundisch, 2020. "The Fate of the App: Economic Implications of Updating under Reputation Resetting," Working Papers Dissertations 76, Paderborn University, Faculty of Business Administration and Economics.
    13. Rasha Abdel Aziz El Naggar & Noha Bendary, 2020. "Branding Services in Mature Markets: Evidence from Egypt," International Journal of Marketing Studies, Canadian Center of Science and Education, vol. 11(1), pages 1-52, March.
    14. Tan, Huimin & Lv, Xingyang & Liu, Xiaoyan & Gursoy, Dogan, 2018. "Evaluation nudge: Effect of evaluation mode of online customer reviews on consumers’ preferences," Tourism Management, Elsevier, vol. 65(C), pages 29-40.
    15. Hu Wang & Di Li & Changbin Jiang & Yuxiang Zhang, 2023. "Exploring the Interactive Relationship between Retailers’ Free Shipping Decisions and Manufacturers’ Product Sales in Digital Retailing," Sustainability, MDPI, vol. 15(17), pages 1-19, August.
    16. Qin, Chang-Xiong & Liu, Zhao, 2022. "Reference price effect of partially similar online products in the consideration stage," Journal of Business Research, Elsevier, vol. 152(C), pages 70-81.
    17. Gu, Wei & Luo, Jing & Yu, Xiaoru & Zhang, Wenqing & Li, Baixun, 2023. "Dynamic decisions between sellers and consumers in online second-hand trading platforms: Evidence from C2C transactions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    18. DR.A.VARADARAJ & Mrs.D.CHARUMATHI, 2019. "Impact Of Hedonic And Utilitarian Shopping Motive On Online Purchase Decision," CSIE Working Papers, Center for Studies in European Integration (CSEI), Academy of Economic Studies of Moldova (ASEM), issue 11, pages 6-16, March.
    19. Sun, Libo & Jiao, Xiaoting & Guo, Xiaolong & Yu, Yugang, 2022. "Pricing policies in dual distribution channels: The reference effect of official prices," European Journal of Operational Research, Elsevier, vol. 296(1), pages 146-157.
    20. Feng, Lin & Wang, Wan-Chih & Teng, Jinn-Tsair & Cárdenas-Barrón, Leopoldo Eduardo, 2022. "Pricing and lot-sizing decision for fresh goods when demand depends on unit price, displaying stocks and product age under generalized payments," European Journal of Operational Research, Elsevier, vol. 296(3), pages 940-952.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:ibrjnl:v:15:y:2022:i:4:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.