IDEAS home Printed from https://ideas.repec.org/a/bla/popmgt/v27y2018i8p1611-1629.html
   My bibliography  Save this article

Optimal Advertising Budget Allocation in Luxury Fashion Markets with Social Influences: A Mean‐Variance Analysis

Author

Listed:
  • Chun‐Hung Chiu
  • Tsan‐Ming Choi
  • Xin Dai
  • Bin Shen
  • Jin‐Hui Zheng

Abstract

Optimizing advertising budget allocation in the luxury fashion industry is an important problem. In this study, motivated by real‐world practices, we consider a luxury fashion firm serving a conspicuous market consisting of two groups of consumers who influence one another. We investigate the optimal customer portfolios and budget allocation problem using the mean‐variance (MV) framework. Under the basic model in which all budget must be spent, we identify different scenarios and propose an algorithm to construct the MV efficient frontier for each scenario. Interestingly, different from the classic investment portfolio problem, we reveal that: (i) not all budget allocations between the two groups of consumers are MV efficient, which means that the efficient frontier is not continuous; (ii) in the presence of social influence, diversification of customer portfolio does not always lead to a smaller variance, which counterintuitively means that focusing on a single consumer group can reduce risk. We also prove that to maximize expected profit, the optimal strategy is to allocate all advertising budget to one group of consumers only (i.e., a polarized strategy). We illustrate analytically, the importance of identifying the right scenario for budget planning. Finally, we examine the budget saving strategy in the extended model and uncover that the respective range of efficient solutions is smaller than the one under the all budget spending strategy. This shows that the budget saving strategy offers less flexibility for MV efficient budget allocation than the all budget spending strategy.

Suggested Citation

  • 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.
  • Handle: RePEc:bla:popmgt:v:27:y:2018:i:8:p:1611-1629
    DOI: 10.1111/poms.12886
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/poms.12886
    Download Restriction: no

    File URL: https://libkey.io/10.1111/poms.12886?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
    ---><---

    More about this item

    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:bla:popmgt:v:27:y:2018:i:8:p:1611-1629. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1937-5956 .

    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.