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

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  • 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
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    References listed on IDEAS

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    1. Masao Ogaki & Saori C. Tanaka, 2017. "What Is Neuroeconomics?," Springer Texts in Business and Economics, in: Behavioral Economics, chapter 0, pages 23-30, Springer.
    2. Nairana Radtke Caneppele & Fernando Antonio Ribeiro Serra & Luis Hernan Contreras Pinochet & Izabela Martina Ramos Ribeiro, 2022. "Potential and challenges for using neuroscientific tools in strategic management studies," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 57(3), pages 235-263, April.
    3. Vaneet Kaur, 2019. "Knowledge-Based Dynamic Capabilities," Innovation, Technology, and Knowledge Management, Springer, number 978-3-030-21649-8, December.
    4. Paul McDonald, 2018. "Sustainability management: research insights from social cognitive neuroscience," Business Strategy and the Environment, Wiley Blackwell, vol. 27(8), pages 1355-1367, December.
    5. Carl Senior & Nick Lee & Michael Butler, 2011. "PERSPECTIVE---Organizational Cognitive Neuroscience," Organization Science, INFORMS, vol. 22(3), pages 804-815, June.
    6. Dirk Lindebaum & Effi Raftopoulou, 2017. "What Would John Stuart Mill Say? A Utilitarian Perspective on Contemporary Neuroscience Debates in Leadership," Journal of Business Ethics, Springer, vol. 144(4), pages 813-822, September.
    7. David J. Teece, 2007. "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance," Strategic Management Journal, Wiley Blackwell, vol. 28(13), pages 1319-1350, December.
    8. George I. Christopoulos & Xiao-Xiao Liu & Ying-yi Hong, 2017. "Toward an Understanding of Dynamic Moral Decision Making: Model-Free and Model-Based Learning," Journal of Business Ethics, Springer, vol. 144(4), pages 699-715, September.
    9. Argang Ghadiri & Andreas Habermacher & Theo Peters, 2012. "Neuroleadership: The Backdrop," Management for Professionals, in: Neuroleadership, edition 127, chapter 1, pages 1-15, Springer.
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