IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v170y2024ics0148296323007014.html
   My bibliography  Save this article

Neurostrategy: A scientometric analysis of marriage between neuroscience and strategic management

Author

Listed:
  • Kaur, Vaneet

Abstract

This study represents one of the earliest attempts at providing a complete scientometric mapping and a systematic review of the nascent field of neurostrategy. Machine-based algorithms and text-mining have been used to – (a) clarify the dominant concepts at the junction of neuroscience and strategic management; (b) identify the ontological and epistemological foundations of neurostrategy; (c) explain how the scholarly discourse around neurostrategy has evolved; (d) reveal the trends that are gaining traction within neurostrategy research; and (e) develop propositions at the confluence of managerial capabilities, knowledge management, dynamic capabilities, and neurostrategy. The study unveils how neurostrategy represents a quintet of disciplines and lays bare the hypes and hopes surrounding neurostrategy. The study explains how the road that leads to competitive success passes through the development of neuronally intelligent strategies that not only resolve the battle between the organization and its people, but also the one within an organizational decision maker.

Suggested Citation

  • Kaur, Vaneet, 2024. "Neurostrategy: A scientometric analysis of marriage between neuroscience and strategic management," Journal of Business Research, Elsevier, vol. 170(C).
  • Handle: RePEc:eee:jbrese:v:170:y:2024:i:c:s0148296323007014
    DOI: 10.1016/j.jbusres.2023.114342
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296323007014
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2023.114342?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.

    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:jbrese:v:170:y:2024:i:c:s0148296323007014. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.