IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-3-319-56941-3_1.html
   My bibliography  Save this book chapter

Marketing Decision Models: Progress and Perspectives

In: Handbook of Marketing Decision Models

Author

Listed:
  • Berend Wierenga

    (Rotterdam School of Management, Erasmus University (RSM))

  • Ralf van der Lans

    (Hong Kong University of Science and Technology)

Abstract

In the introduction, the editors of the Handbook provide an overview of the chapters in the Handbook of Marketing Decision Models‚ Second Edition. The introduction discusses the latest developments of marketing decision models in the last decade and explains how the different chapters in the Handbook cover these developments. To do so‚ the authors introduce two dimensions to discuss and classify the latest developments: (1) topical domains (new and existing)‚ and (2) research methodology (new and existing). This classification results in four categories that the authors use to classify the contributed chapters of the Handbook. The authors conclude by describing opportunities for future developments of marketing decision models and their main drivers.

Suggested Citation

  • Berend Wierenga & Ralf van der Lans, 2017. "Marketing Decision Models: Progress and Perspectives," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 1-11, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-56941-3_1
    DOI: 10.1007/978-3-319-56941-3_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eryarsoy, Enes & Delen, Dursun & Davazdahemami, Behrooz & Topuz, Kazim, 2021. "A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19," Journal of Business Research, Elsevier, vol. 124(C), pages 163-178.

    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:spr:isochp:978-3-319-56941-3_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.

    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: 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.