IDEAS home Printed from https://ideas.repec.org/a/bal/3seasj/2661-515020223216.html
   My bibliography  Save this article

Use Of Neuromarketing Tools During The Pandemic

Author

Listed:
  • Tetiana Yanchuk

    (Vasyl’ Stus Donetsk National University, Ukraine)

  • Olga Fedchenko

    (Vasyl’ Stus Donetsk National University, Ukraine)

Abstract

This work determines the current state of research and its results in the field of neuromarketing and artificial intelligence, the attitude and awareness of society to the concepts, results, advantages and disadvantages. It also proposes to form a system of principles for the security of society and opportunities to anticipate and prevent various catastrophic situations. The subject of research is the theoretical, methodological, and practical features of the use of neuromarketing tools during a pandemic. Methodology. Methods such as observation (to collect primary data), questionnaires (to determine the impact of various neuromarketing tools during a pandemic), analysis and synthesis (to substantiate practical recommendations), and graphics (for visual display) were used to solve the tasks set in the paper. Results. The article describes the basic concepts that formed the basis of neuromarketing research. In the paper the main stages of neuromarketing time-tracking are highlighted and described. The article is about the issues related to the special neuromarketing tools that marketers use to obtain relevant results in the course of research. Also, the main reasons for the use of specialized tools were revealed and the indicators, which the researchers will analyze in the formation of conclusions and recommendations for the customers, were determined. An example of the practical application of neuromarketing for the business is proposed. It is established that a well-developed brand, which is effectively used in the activities of a enterprise, can become its special intangible asset. Moreover, it can be the basis for expanding a loyal target audience and a tool to help the company survive the crisis. People want to experience emotions together with the company, to feel unity with its idea. Practical implications. Neuromarketing technologies in the pandemic are gaining popularity and are increasingly being used as a powerful tool to influence the behavior of the target audience. The result neuromarketing reflects the highest stage of development of research and development, the right choice, which makes invisible and gives a sense of interrelation of all parts of the investigated system. Value/originality. It has been proved that neuromarketing is an effective tool for carrying out activities during the pandemic. Practical aspects of the introduction of neuromarketing techniques into the work of enterprises during the pandemic have been proposed.

Suggested Citation

  • Tetiana Yanchuk & Olga Fedchenko, 2022. "Use Of Neuromarketing Tools During The Pandemic," Three Seas Economic Journal, Publishing house "Baltija Publishing", vol. 3(2).
  • Handle: RePEc:bal:3seasj:2661-5150:2022:3:2:16
    DOI: 10.30525/2661-5150/2022-2-16
    as

    Download full text from publisher

    File URL: http://www.baltijapublishing.lv/index.php/threeseas/article/view/1731/1749
    Download Restriction: no

    File URL: http://www.baltijapublishing.lv/index.php/threeseas/article/view/1731
    Download Restriction: no

    File URL: https://libkey.io/10.30525/2661-5150/2022-2-16?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
    ---><---

    References listed on IDEAS

    as
    1. Herbes, Carsten & Friege, Christian & Baldo, Davide & Mueller, Kai-Markus, 2015. "Willingness to pay lip service? Applying a neuroscience-based method to WTP for green electricity," Energy Policy, Elsevier, vol. 87(C), pages 562-572.
    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. Carsten Herbes & Johannes Dahlin & Peter Kurz, 2020. "Consumer Willingness To Pay for Proenvironmental Attributes of Biogas Digestate-Based Potting Soil," Sustainability, MDPI, vol. 12(16), pages 1-19, August.
    2. Liping Ding & Fan Zhang & Jing Shuai, 2018. "How Do Chinese Residents Expect of Government Subsidies on Solar Photovoltaic Power Generation?—A Case of Wuhan, China," Energies, MDPI, vol. 11(1), pages 1-11, January.
    3. Herbes, Carsten & Rilling, Benedikt & MacDonald, Scott & Boutin, Nathalie & Bigerna, Simona, 2020. "Are voluntary markets effective in replacing state-led support for the expansion of renewables? – A comparative analysis of voluntary green electricity markets in the UK, Germany, France and Italy," Energy Policy, Elsevier, vol. 141(C).
    4. Gorin, Aleksei & Nedelko, Anastasia & Kosonogov, Vladimir & Vakhviyainen, Maria & Tugin, Sergey & Moiseeva, Victoria & Klucharev, Vasily & Shestakova, Anna, 2022. "N400 correlate of brand associations," Journal of Economic Psychology, Elsevier, vol. 90(C).
    5. Johannes Dahlin & Verena Halbherr & Peter Kurz & Michael Nelles & Carsten Herbes, 2016. "Marketing Green Fertilizers: Insights into Consumer Preferences," Sustainability, MDPI, vol. 8(11), pages 1-15, November.
    6. Ayodele, T.R. & Ogunjuyigbe, A.S.O. & Ajayi, O.D. & Yusuff, A.A. & Mosetlhe, T.C., 2021. "Willingness to pay for green electricity derived from renewable energy sources in Nigeria," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    7. Rommel, Jens & Sagebiel, Julian & Müller, Jakob R., 2016. "Quality uncertainty and the market for renewable energy: Evidence from German consumers," Renewable Energy, Elsevier, vol. 94(C), pages 106-113.
    8. Oerlemans, Leon A.G. & Chan, Kai-Ying & Volschenk, Jako, 2016. "Willingness to pay for green electricity: A review of the contingent valuation literature and its sources of error," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 875-885.
    9. Dalia Streimikiene & Tomas Balezentis & Ilona Alisauskaite-Seskiene & Gintare Stankuniene & Zaneta Simanaviciene, 2019. "A Review of Willingness to Pay Studies for Climate Change Mitigation in the Energy Sector," Energies, MDPI, vol. 12(8), pages 1-38, April.
    10. Carsten Herbes & Lorenz Braun & Dennis Rube, 2016. "Pricing of Biomethane Products Targeted at Private Households in Germany—Product Attributes and Providers’ Pricing Strategies," Energies, MDPI, vol. 9(4), pages 1-15, March.
    11. Bae, Jeong Hwan & Rishi, Meenakshi, 2018. "Increasing consumer participation rates for green pricing programs: A choice experiment for South Korea," Energy Economics, Elsevier, vol. 74(C), pages 490-502.
    12. Yantao Ling & Jing Xu, 2021. "Price and greenness competition between duopoly firms considering consumer premium payments," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3853-3880, March.
    13. Galzi, Pierre-Yves, 2023. "Do green electricity consumers contribute to the increase in electricity generation capacity from renewable energy sources? Evidence from France," Energy Policy, Elsevier, vol. 179(C).
    14. Inês Teotónio & Carlos Oliveira Cruz & Cristina Matos Silva & José Morais, 2020. "Investing in Sustainable Built Environments: The Willingness to Pay for Green Roofs and Green Walls," Sustainability, MDPI, vol. 12(8), pages 1-14, April.
    15. Bae, Jeong Hwan & Rishi, Meenakshi & Li, Dmitriy, 2021. "Consumer preferences for a green certificate program in South Korea," Energy, Elsevier, vol. 230(C).
    16. Rui Zhao & Xinyun Ren & Yan Liu & Yujun Li & Ruyin Long, 2022. "Different Educational Interventions on Individual Cognition of Garbage Classification Based on EEG Monitoring," IJERPH, MDPI, vol. 19(14), pages 1-17, July.
    17. Ji-Hee Son & Jeawon Kim & Wona Lee & Songhee Han, 2022. "Willingness to Pay for the Public Electric Bus in Nepal: A Contingent Valuation Method Approach," Sustainability, MDPI, vol. 14(19), pages 1-14, October.

    More about this item

    Keywords

    Neuromarketing; artificial intelligence; subconscious; biometric systems; algorithms; iTracking;
    All these keywords.

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:bal:3seasj:2661-5150:2022:3:2:16. 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: Anita Jankovska (email available below). General contact details of provider: .

    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.