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Translating upwards : linking the neural and social sciences via neuroeconomics

Author

Listed:
  • Clément Levallois

    (EM - EMLyon Business School)

  • John A. Clithero
  • Paul Wouters
  • Ale Smidts
  • Scott A. Huettel

Abstract

The social and neural sciences share a common interest in understanding the mechanisms that underlie human behaviour. However, interactions between neuroscience and social science disciplines remain strikingly narrow and tenuous. We illustrate the scope and challenges for such interactions using the paradigmatic example of neuroeconomics. Using quantitative analyses of both its scientific literature and the social networks in its intellectual community, we show that neuroeconomics now reflects a true disciplinary integration, such that research topics and scientific communities with interdisciplinary span exert greater influence on the field. However, our analyses also reveal key structural and intellectual challenges in balancing the goals of neuroscience with those of the social sciences. To address these challenges, we offer a set of prescriptive recommendations for directing future research in neuroeconomics.

Suggested Citation

  • Clément Levallois & John A. Clithero & Paul Wouters & Ale Smidts & Scott A. Huettel, 2012. "Translating upwards : linking the neural and social sciences via neuroeconomics," Post-Print hal-02313160, HAL.
    • Handle: RePEc:hal:journl:hal-02313160
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    Cited by:

    1. Florentin Gloetzl & Ernest Aigner, 2015. "Pluralism in the Market of Science? A citation network analysis of economic research at universities in Vienna," Ecological Economics Papers ieep5, Institute of Ecological Economics.
    2. José Edwards & Yann Giraud & Christophe Schinckus, 2018. "A quantitative turn in the historiography of economics?," Journal of Economic Methodology, Taylor & Francis Journals, vol. 25(4), pages 283-290, October.
    3. Steven J. Stanton & Walter Sinnott-Armstrong & Scott A. Huettel, 2017. "Neuromarketing: Ethical Implications of its Use and Potential Misuse," Journal of Business Ethics, Springer, vol. 144(4), pages 799-811, September.
    4. Gheorghe H. Popescu & Elvira Nica, 2014. "Neuroeconomic Models of Decision-Making," Knowledge Horizons - Economics, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 6(1), pages 63-66, March.
    5. Muh-Chyun Tang & Yun Jen Cheng & Kuang Hua Chen, 2017. "A longitudinal study of intellectual cohesion in digital humanities using bibliometric analyses," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 985-1008, November.
    6. Ale Smidts & Ming Hsu & Alan Sanfey & Maarten Boksem & Richard Ebstein & Scott Huettel & Joe Kable & Uma Karmarkar & Shinobu Kitayama & Brian Knutson & Israel Liberzon & Terry Lohrenz & Mirre Stallen , 2014. "Advancing consumer neuroscience," Marketing Letters, Springer, vol. 25(3), pages 257-267, September.
    7. Alexandre Truc, 2022. "Neuroeconomics Hype or Hope? An Answer," GREDEG Working Papers 2022-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    8. 子, 鬼谷, 2021. "Studies on Startup Success in Southeast Asia: a Bibliometrics Analysis with Scopus Dataset Between 2001-2020," OSF Preprints crhnp, Center for Open Science.
    9. Clithero, John A., 2018. "Improving out-of-sample predictions using response times and a model of the decision process," Journal of Economic Behavior & Organization, Elsevier, vol. 148(C), pages 344-375.
    10. Ahmed H. Alsharif & Nor Zafir Md Salleh & Mazilah Abdullah & Ahmad Khraiwish & Azmirul Ashaari, 2023. "Neuromarketing Tools Used in the Marketing Mix: A Systematic Literature and Future Research Agenda," SAGE Open, , vol. 13(1), pages 21582440231, February.
    11. Lim, Weng Marc, 2018. "Demystifying neuromarketing," Journal of Business Research, Elsevier, vol. 91(C), pages 205-220.

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