IDEAS home Printed from https://ideas.repec.org/a/scn/mngsci/y2018i4p77-83.html
   My bibliography  Save this article

Возможности и ограничения использования методов нейромаркетинга // Perspectives and Limitations of Neuromarketing Research Methods

Author

Listed:
  • A. Nedelko Yu.

    (NRU Higher School of Economics)

  • А. Неделько Ю.

    (НИУ Высшая школа экономики)

Abstract

In the modern world consumers are overwhelmed with advertising messages and competition among advertisers is becoming harder. That is why there is a need to develop effective marketing messages that will affect people subconsciousness. In this regard, neuromarketing appears as a research tool for measuring subconscious reactions to marketing incentives. In this paper existing methods of neuromarketing are analyzed critically, their advantages and disadvantages are critically determined. As a result, the following groups of neuromarketing methods are distinguished: methods that measure the metabolic brain activity; methods that measure electrical brain activity; methods that measure derivative subconscious reactions. These methods make it possible to evaluate subconscious reactions, such as level of attention and emotional engagement, memory activation and other perceptual metrics. At the same time, neuromarketing has its limitations such as high costs, difficulty of searching for subjects and specialists and also negative influence of laboratory conditions during the experiments. These shortcomings should be taken into consideration combining neuromarketing with traditional research methods. В современном мире потребители перегружены рекламными сообщениями, и конкуренция среди рекламодателей становится более жесткой. Именно поэтому возникает потребность в разработке результативных маркетинговых сообщений, которые будут воздействовать на подсознание человека, побуждая его, например, к покупке продукта или услуги. В связи с этим появляется нейромаркетинг — исследовательский инструмент для измерения подсознательных реакций человека на маркетинговые стимулы. В данной работе критически проанализированы существующие методы нейромаркетинга, определены их преимущества и недостатки. В результате выделены следующие группы методов нейромаркетинга: методы, измеряющие метаболическую активность мозга; методы, измеряющие электрическую активность мозга; методы, измеряющие производные подсознательные реакции. Данные методы дают возможность оценивать такие подсознательные реакции, как уровень внимания и эмоциональной вовлеченности, активацию памяти и другие параметры восприятия. В то же время у нейромаркетинга есть и недостатки, среди которых можно выделить высокую стоимость, сложность поиска испытуемых и специалистов, а также негативное влияние лабораторных условий при проведении экспериментов. Эти недостатки необходимо учитывать при проведении исследований, нивелируя их с помощью традиционных методов.

Suggested Citation

  • A. Nedelko Yu. & А. Неделько Ю., 2018. "Возможности и ограничения использования методов нейромаркетинга // Perspectives and Limitations of Neuromarketing Research Methods," Управленческие науки // Management Science, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 8(4), pages 77-83.
  • Handle: RePEc:scn:mngsci:y:2018:i:4:p:77-83
    as

    Download full text from publisher

    File URL: https://managementscience.fa.ru/jour/article/viewFile/178/175.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dr. Peter Kenning & Hilke Plassmann, 2004. "NeuroEconomics," Experimental 0412005, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Georges Bresson & Cheng Hsiao, 2011. "A functional connectivity approach for modeling cross-sectional dependence with an application to the estimation of hedonic housing prices in Paris," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 95(4), pages 501-529, December.
    2. Martin Binder, 2009. "Some Considerations Regarding the Problem of Multidimensional Utility," Jena Economics Research Papers 2009-099, Friedrich-Schiller-University Jena.
    3. Rubén Ortuño & José M. Sánchez & Diego Álvarez & Miguel López & Fernando León, 2020. "Neurometrics applied to banknote and security features design," Occasional Papers 2008, Banco de España.
    4. Ryan Webb & Paul W. Glimcher & Kenway Louie, 2021. "The Normalization of Consumer Valuations: Context-Dependent Preferences from Neurobiological Constraints," Management Science, INFORMS, vol. 67(1), pages 93-125, January.
    5. Bach, Norbert & Sterner, Madlen, 2011. "Implikationen neuroökonomischer Erkenntnisse für das Employer Branding [Implications of neuroeconomic findings for Employer Branding]," Ilmenauer Schriften zur Betriebswirtschaftslehre, Technische Universität Ilmenau, Institut für Betriebswirtschaftslehre, volume 5, number 52011.
    6. Reimann, Martin & Bechara, Antoine, 2010. "The somatic marker framework as a neurological theory of decision-making: Review, conceptual comparisons, and future neuroeconomics research," Journal of Economic Psychology, Elsevier, vol. 31(5), pages 767-776, October.
    7. Lori Verstegen Ryan, 2017. "Sex Differences Through a Neuroscience Lens: Implications for Business Ethics," Journal of Business Ethics, Springer, vol. 144(4), pages 771-782, September.
    8. H. Kenny Nienhusser & Toko Oshio, 2017. "High School Students’ Accuracy in Estimating the Cost of College: A Proposed Methodological Approach and Differences Among Racial/Ethnic Groups and College Financial-Related Factors," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(7), pages 723-745, November.
    9. Antonio Mileti & Gianluigi Guido & Maria Irene Prete, 2014. "L?applicazione delle nanotecnologie al neuromarketing: rassegna e proposizioni," MERCATI & COMPETITIVIT?, FrancoAngeli Editore, vol. 2014(1), pages 17-35.
    10. Saaty, Thomas L. & Shih, Hsu-Shih, 2009. "Structures in decision making: On the subjective geometry of hierarchies and networks," European Journal of Operational Research, Elsevier, vol. 199(3), pages 867-872, December.
    11. Kavous Ardalan, 2018. "Behavioral attitudes toward current economic events: a lesson from neuroeconomics," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 53(4), pages 202-208, October.
    12. Monica Ţichindelean (Beca) & Mihai Ţichindelean, 2019. "A Study Of Banking Marketers' Perception Regarding The Use Of Neuromarketing Techniques In Banking Services," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(21), pages 1-8.
    13. Daniel Serra, 2019. "La neuroéconomie en question : débats et controverses," Working Papers halshs-02160911, HAL.
    14. Meyerding, Stephan G.H. & Mehlhose, Clara M., 2020. "Can neuromarketing add value to the traditional marketing research? An exemplary experiment with functional near-infrared spectroscopy (fNIRS)," Journal of Business Research, Elsevier, vol. 107(C), pages 172-185.
    15. Anastasia Nedelko & Olga Lupova & Alexey Gorin & Alexandra Kuznetsova & Vasily Klucharev & Anna Shestakova, 2017. "An Analysis of Brand Association Perception Using N400 Evoked Potential," HSE Working papers WP BRP 77/PSY/2017, National Research University Higher School of Economics.
    16. Adiel Teixeira Almeida & Eduarda Asfora Frej & Lucia Reis Peixoto Roselli, 2021. "Combining holistic and decomposition paradigms in preference modeling with the flexibility of FITradeoff," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 7-47, March.
    17. Franziska Rumpel & Michael Knuth & Micheal Schaefer, 2008. "Neural correlates for price involvement in purchase decisions with regards to fast-moving-consumer-goods," FEMM Working Papers 08033, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    18. Han, Weiwei & Wang, Xun & Petropoulos, Fotios & Wang, Jing, 2019. "Brain imaging and forecasting: Insights from judgmental model selection," Omega, Elsevier, vol. 87(C), pages 1-9.
    19. Schukat, Sirkka & Diekmann, Marie & Heise, Heinke, 2021. "What links neuroscience to agricultural economics? A review of neuroscientific methods literature in agricultural economic research and marketing," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(6), March.
    20. Gonzalo Valdés-Edwards & Salvador Valdés-Prieto, 2013. "A Tractable Theory of Choice Based on Cell Behavior," CESifo Working Paper Series 4424, CESifo.

    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:scn:mngsci:y:2018:i:4:p:77-83. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Алексей Скалабан (email available below). General contact details of provider: http://managementscience.elpub.ru .

    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.