Proposal for modeling the experimental process for Neuromarketing research using the electroencephalography tool

Authors

DOI:

https://doi.org/10.5585/remark.v23i1.20018

Keywords:

Neuromarketing, Modeling, Experimental Process, EEG

Abstract

Purpose of the study: To propose a model of the experimental process for Neuromarketing research using electroencephalography (EEG).

Methodology: The model was elaborated from the methodological description of the 30 articles found on Neuromarketing research using the EEG tool in the Web of Science and Scopus databases. It was validated by two specialists in the field who have great knowledge of the use of this tool.

Results: The model exposes the activities that are carried out in the experimental process of Neuromarketing research with EEG, such as the definition of the problem, the objective, choice and classification of research variables, definition of the sampling plan, selection of participants, elaboration of the project to be submitted to the Ethics Committee, preparation of the consent form, explanation of the study objectives, clinical examination, interview, data processing, EEG analysis, statistical analysis, research conclusion, among others.

Theoretical-methodological contributions: The main contribution of the study is the possibility of the proposed model being used by researchers and companies that use this neuroscience tool (EEG), since it allows knowing how the experimental process is, which activities are necessary and in which order they occur, helping them to program research activities and understand each activity.

Relevance/originality: There is no knowledge in the literature when searching the main databases such as Web of Science, Scopus, and Google Scholar of research that proposed the modeling of the experimental process for Neuromarketing research that uses the EEG tool, so this study is single.

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Author Biographies

Natália Munari Pagan, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto – FEARP-USP

Doutoranda em Administração. 

Mestra em Administração.

Graduada em Matemática Aplicada a Negócios

Karina Munari Pagan, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto – FEARP-USP

Doutoranda em Administração. 

Mestra em Administração.

Graduada em Matemática Aplicada a Negócios

Janaina de Moura Engracia Giraldi, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto – FEARP-USP

Professora Associada na Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARP-USP) de marketing e gestão.

Jorge Henrique Caldeira de Oliveira, Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto – FEARP-USP

Professor titular da Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARP).

 

References

Aldayel, M., Ykhlef, M., & Al-Nafjan, A. (2020). Deep Learning for EEG-Based PreferenceClassification in Neuromarketing. Applied Sciences, 10(4), 1525. Doi :10.3390/app10041525

Alvino, L., V. L, R., Joosten, R. A., & Constantinides, E. (2019). Which wine do you prefer? An analysis on consumer behaviour and brain activity during a wine tasting experience. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-04-2019-0240

ASSOCIATION OF BUSINESS PROCESS MANAGEMENT PROFESSIONALS (ABPMP). (2013). Business process management common body of knowledge. Version 2.0. Terre Haute: ABPMP.

Ariely, D., & Berns, G. S. (2010). Neuromarketing: the hope and hype of neuroimaging in business. Nature reviews neuroscience, 11(4), 284-292. https://doi.org/10.1038/nrn2795

Bastiaansen, M., Straatman, S., Driessen, E., Mitas, O., Stekelenburg, J., & Wang, L. (2018). My destination in your brain: A novel neuromarketing approach for evaluating the effectiveness of destination marketing. Journal of destination marketing & management, 7, 76-88. https://doi.org/10.1016/j.jdmm.2016.09.003

Bayona Soria, F. P. (2019). Neuromarketing y su aplicación en paneles publicitarios. https://hdl.handle.net/20.500.12672/10439

Bercea, M. D. (2013). Quantitative versus qualitative in neuromarketing research. Nature Reviews Neuroscience 11(4): 284-292

Bizagi. (2020). Produtos. Available at http://www.bizagi.com/ (accessed 21.04.2021).

Brown, C., Randolph, A. B., & Burkhalter, J. N. (2012). The story of taste: Using EEGs and self-reports to understand consumer choice. The Kennesaw Journal of Undergraduate Research, 2(1), 5. Doi 10.32727/25.2019.5

Camarrone, F., & Van Hulle, M. M. (2019). Measuring brand association strength with EEG: A single-trial N400 ERP study. PloS one, 14(6). https://doi.org/10.1371/journal.pone.0217125

Cep (2021). Comite de ética em pesquisa. Available at https://cep.unifesp.br/projetos-que-envolvem-seres-humanos (accessed 21.04.2021).

Ceravolo, M. G., Farina, V., Fattobene, L., Leonelli, L., & Raggetti, G. (2022). Anchoring effect in visual information processing during financial decisions: An eye-tracking study. Journal of Neuroscience, Psychology, and Economics. https://doi.org/10.1037/npe0000153

Constantinescu, M., Orindaru, A., Pachitanu, A., Rosca, L., Caescu, S. C., & Orzan, M. C. (2019). Attitude evaluation on using the neuromarketing approach in social media: matching company’s purposes and consumer’s benefits for sustainable business growth. Sustainability, 11(24), 7094. http://dx.doi.org/10.3390/su11247094

Cuesta, U., Niño, J. I., & Martínez-Martínez, L. (2018). Neuromarketing: analysis of packaging using Gsr, eye-tracking and facial expression. In Papper presented at The European Conference on Media, Communication & Film.

Daniotti, B., Pavan, A., Spagnolo, S. L., Caffi, V., Pasini, D., & Mirarchi, C. (2020). BIM-

Based Collaborative Building Process Management. Springer. https://doi.org/10.1007/978-3-030-32889-4

Daugherty, T., Hoffman, E., Kennedy, K., & Nolan, M. (2018). Measuring consumer neural

activation to differentiate cognitive processing of advertising: Revisiting Krugman. European Journal of Marketing. http://dx.doi.org/10.1108/EJM-10-2017-0657

Dean, A, & Voss, D (1999). Design and analysis of experiments. New York: Springer. Doi:10.1007/978-3-319-52250-0.

Djamasbi, S., Siegel, M., & Tullis, T. (2010). Generation Y, web design, and eye

tracking. International journal of human-computer studies, 68(5), 307-323. Doi: 10.1016/j.ijhcs.2009.12.006

Emotiv. EEG Guide, 2019. Available at https://www.emotiv.com/eeg-guide/ (accessed 21.04.2021).

Fischer, P. M., Richards, J. W., Berman, E. J., & Krugman, D. M. (1989). Recall and eye tracking study of adolescents viewing tobacco advertisements. Jama, 261(1), 84-89. Doi: 10.1001/jama.1989.03420010094040

Flumeri, G. D., Herrero, M. T., Trettel, A., Cherubino, P., Maglione, A. G., Colosimo, A., & Babiloni, F. (2016). EEG frontal asymmetry related to pleasantness of olfactory stimuli in young subjects. In Selected Issues in Experimental Economics (pp. 373-381). Springer, Cham. Doi 10.1007/978-3-319-28419-4_23

Gani, M. O., Reza, S. S., Rabi, M. R. I., & Reza, S. S. (2015, December). Neuromarketing: methodologies of marketing science. In Proceedings of the 3rd International Conference on Advances in Economics, Management and Social Study. Doi doi: 10.1016/j.nuclphysa.

Garczarek-Bąk, U. (2018). Explicit and Implicit Factors That Determine Private Labels’ Possible Purchase: Eyetracking and EEG Research. International Journal of Management and Economics, 54(1), 36-49.

Gountas, J., Gountas, S., Ciorciari, J., & Sharma, P. (2019). Looking beyond traditional measures of advertising impact: Using neuroscientific methods to evaluate social marketing messages. Journal of Business Research, 105, 121-135.

Illes, J., Kann, D., Karetsky, K., Letourneau, P., Raffin, T. A., Schraedley-Desmond, P., & Atlas, S. W. (2004). Advertising, patient decision making, and self-referral for computed tomographic and magnetic resonance imaging. Archives of internal medicine, 164(22), 2415-2419. Doi:10.1001/archinte.164.22.2415.

Flores, J., Baruca, A., & Saldivar, R. (2014). Is neuromarketing ethical? Consumers say yes. consumers say no. Journal of Legal, Ethical and Regulatory Issues, 17(2), 77-91.

Fudali-Czyż, A., Ratomska, M., Cudo, A., Francuz, P., Kopiś, N., & Tużnik, P. (2016). Controlled categorisation processing in brand extension evaluation by Indo-European language speakers. An ERP study. Neuroscience letters, 628, 30-34. https://doi.org/10.1016/j.neulet.2016.06.005

Gordon, R., Ciorciari, J., & Van Laer, T. (2018). Using EEG to examine the role of attention, working memory, emotion, and imagination in narrative transportation. European Journal of Marketing. https://doi.org/10.1108/EJM-12-2016-0881

Hafez, M. (2019). Neuromarketing: a new avatar in branding and advertisement. Pac. Bus. Rev. Int, 12, 58-64.

Hakim, A., & Levy, D. J. (2019). A gateway to consumers' minds: Achievements, caveats, and prospects of electroencephalography‐based prediction in neuromarketing. Wiley Interdisciplinary Reviews: Cognitive Science, 10(2), e1485. Doi: 10.1002/wcs.1485.

Harris, J. M., Ciorciari, J., & Gountas, J. (2018). Consumer neuroscience for marketing researchers. Journal of consumer behaviour, 17(3), 239-252. Doi 10.1002/cb.1710.

Homan, R. W., Herman, J., & Purdy, P. (1987). Cerebral location of international 10–20 system electrode placement. Electroencephalography and clinical neurophysiology, 66(4), 76-382. https://doi.org/10.1016/0013-4694(87)90206-9

Horska, E., Bercik, J., Krasnodebski, A., Matysik-Pejas, R., & Bakayova, H. (2016). Innovative approaches to examining consumer preferences when choosing wines.Agricultural Economics, 62(3), 124-133. Doi 10.17221/290/2015

Hsu, L., & Chen, Y. J. (2020). Neuromarketing, subliminal advertising, and hotel selection: An EEG study. Australasian Marketing Journal (AMJ). https://doi.org/10.1016/j.ausmj.2020.04.009

Jayashree, K., & Rao, V. V. (2020). A Conceptual Study on Neuromarketing and its Implications on Customers. Studies in Indian Place Names, 40(67), 1-8.

Kang, I. H., Leliveld, M., & Ferraro, R. (2018). When the face of need backfires: The impact of facial emotional expression on the effectiveness of cause-related marketing advertisements. ACR European Advances.

Kenning, P., & Linzmajer, M. (2011). Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy. Journal für Verbraucherschutz und Lebensmittelsicherheit, 6(1), 111-125. Doi 10.1007/s00003-010-0652-5.

Khushaba, R. N., Wise, C., Kodagoda, S., Louviere, J., Kahn, B. E., & Townsend, C. (2013). Consumer neuroscience: Assessing the brain response to marketing stimuli usingelectroencephalogram (EEG) and eye tracking. Expert Systems with Applications, 40(9), 3803-3812. http://dx.doi.org/10.1016/j.eswa.2012.12.095

Kolev, D. (2019). Neuromarketing And Application of swLORETA qEEG During DecisionMaking Process. International Journal on Information Technologies & Security, 11(1).

Kong, W., Zhao, X., Hu, S., Vecchiato, G., & Babiloni, F. (2013). Electronic evaluation for video commercials by impression index. Cognitive neurodynamics, 7(6), 531-535. https://doi.org/10.1007%2Fs11571-013-9255-z

LaBarbera, P. A., & Tucciarone, J. D. (1995). GSR reconsidered: A behavior-based approach to evaluating and improving the sales potency of advertising. Journal of Advertising Research, 35(5), 33-54.

Landwehr, J. R., McGill, A. L., & Herrmann, A. (2011). It's got the look: The effect of friendly and aggressive “facial” expressions on product liking and sales. Journal of marketing, 75(3), 132-146. ISSN: 0022-2429

Lee, N., Chamberlain, L., & Brandes, L. (2018). Welcome to the jungle! The neuromarketing literature through the eyes of a newcomer. European journal of marketing. doi:10.1108/EJM-02-2017-0122

Lewinski, P. (2015). Don’t look blank, happy, or sad: Patterns of facial expressions of speakers in banks’ YouTube videos predict video’s popularity over time. Journal of Neuroscience, Psychology, and Economics, 8(4), 241. http://dx.doi.org/10.1037/npe0000046

Lim, W. M. (2018). Demystifying neuromarketing. Journal of Business Research, 91, 205 220. https://doi.org/10.1016/j.jbusres.2018.05.036

Liu, X., Shi, S. W., Teixeira, T., & Wedel, M. (2018). Video content marketing: The making of clips. Journal of Marketing, 82(4), 86-101. https://doi.org/10.1509/jm.16.0048

Lundy-Ekman, L. (2008). Neurociência: fundamentos para a reabilitação. Elsevier Brasil.

Ma, Q., Wang, X., Shu, L., & Dai, S. (2008). P300 and categorization in brand extension. Neuroscience letters, 431(1), 57-61. https://doi.org/10.1016/j.neulet.2007.11.022

Ma, Q., Zhang, L., & Wang, M. (2018). “You Win, You Buy”—How Continuous Win Effect Influence Consumers' Price Perception: An ERP Study. Frontiers in neuroscience, 12, 691. https://doi.org/10.3389/fnins.2018.00691

Maddern, H., Smart, P. A., Maull, R. S., & Childe, S. (2014). End-to-end process management: implications for theory and practice. Production Planning & Control, 25(16), 1303-1321. http://www.tandfonline.com/action/showCitFormats?doi=10.1080/09537287.2013.83282

Mahamad, N. A., Amin, M. K. M., & Mikami, O. (2019). Evaluating neuromarketing technique on consumer satisfaction using eeg IMAGING. Journal of Advanced Manufacturing Technology (JAMT), 13 (2). eISSN: 2289-8107

Mantzouki, E., Lürling, M., Fastner, J., de Senerpont Domis, L., Wilk-Woźniak, E., Koreivienė, J., ... & Warming, T. P. (2018). Temperature effects explain continental scale distribution of cyanobacterial toxins. Toxins, 10(4), 156. Doi https://doi.org/10.3390/toxins10040156

Memişoğlu, M., & Girişken, Y. Y. (2022). The Evaluation of Pharmaceutical Packaging Pictograms via Eye Tracking Technique. INNOVATIONS in pharmacy, 13(1), 5-5. https://doi.org/10.24926%2Fiip.v13i1.4307

Morin, C. (2011). Neuromarketing: the new science of consumer behavior. Society, 48(2), 131-135. https://doi.org/10.1007/s12115-010-9408-1

Murugappan, M., Murugappan, S., & Gerard, C. (2014). Wireless EEG signals based neuromarketing system using Fast Fourier Transform (FFT). In 2014 IEEE 10th International Colloquium on Signal Processing and its Applications (pp. 25-30). IEEE.

Ngan, H. F. B., Bavik, A., Kuo, C. F., & Yu, C. E. (2022). Where you look depends on what you are willing to afford: Eye tracking in menus. Journal of Hospitality & Tourism Research, 46(1), 100-124. https://doi.org/10.1177/1096348020951226

Němcová, J., & Berčík, J. (2019). Neuromarketing and the decision-making process of the generation Y wine consumers in the Slovak Republic. Potravinarstvo Slovak Journal of Food Sciences. https://doi.org/10.5219/1018

Ohme, R., Reykowska, D., Wiener, D., & Choromanska, A. (2009). Analysis of neurophysiological reactions to advertising stimuli by means of EEG and galvanic skin response measures. Journal of Neuroscience, Psychology, and Economics, 2(1), 21. Doi 10.1037/a0015462

Oliveira, J. H. C., & Giraldi, J. D. M. E. (2017). What is neuromarketing? A proposal for broader and more accurate definition. Global Business and Management Research, 9(2), 19.

Orzan, G., Zara, I. A., & Purcarea, V. L. (2012). Neuromarketing techniques in pharmaceutical drugs advertising. A discussion and agenda for future research. Journal of medicine and life, 5(4), 428.

Pagan, K. M., Giraldi, J. D. M. E., Maheshwari, V., de Paula, A. L. D., & de Oliveira, J. H. C. (2021b). Evaluating cognitive processing and preferences through brain responses towards country of origin for wines: the role of gender and involvement. International Journal of Wine Business Research. https://doi.org/10.1108/IJWBR-08-2020-0043

Pagan, K. M., Pagan, N. M., Giraldi, J. D. M. E., & Oliveira, J. H. C. D. (2021a). A theoretical study on the ways of analysing electroencephalography in marketing research. International Journal of Data Science, 6(2), 109-128. https://doi.org/10.1504/IJDS.2021.118944

Pagan, N. M., Pagan, K. M., Teixeira, A. A., de Moura Engracia Giraldi, J., Stefanelli, N. O., & de Oliveira, J. H. C. (2020). Application of neuroscience in the area of sustainability: Mapping the territory. Global Journal of Flexible Systems Management, 21(Suppl 1), 61-77. https://doi.org/10.1007/s40171-020-00243-9

Pascucci, F., Bartoloni, S., Ceravolo, M. G., Fattobene, L., Gregori, G. L., Pepa, L., & Temperini, V. (2022). Exploring the relationships between perception of product quality, product ratings, and consumers’ personality traits: An eye-tracking study. Journal of Neuroscience, Psychology, and Economics. https://psycnet.apa.org/doi/10.1037/npe0000156

Pileliene, L., & Grigaliunaite, V. (2017). The effect of female celebrity spokesperson in FMCG advertising: neuromarketing approach. Journal of consumer marketing. https://doi.org/10.1108/JCM-02-2016-1723

Ramsøy, T. Z. (2019). Building a foundation for neuromarketing and consumer neuroscience research: how researchers can apply academic rigor to the neuroscientific study of advertising effects. Journal of advertising research, 59(3), 281-294. Doi 10.2501/JAR-2019

Reimann, M., Schilke, O., Weber, B., Neuhaus, C., & Zaichkowsky, J. (2011). Functional magnetic resonance imaging in consumer research: A review and application. Psychology & Marketing, 28(6), 608-637. https://doi.org/10.1002/mar.20403

Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83-98. https://doi.org/10.1504/IJSSCI.2008.017590

Scopus, 2022. Disponível em: https://www.elsevier.com/pt-br/solutions/scopus. Acesso em 04.05.2022

Sharma, M., Kacker, S., & Sharma, M. (2016). A brief introduction and review on galvanic skin response. Int J Med Res Prof, 2(6), 13-17. Doi 10.21276/ljmrp

Scott, N., Green, C., & Fairley, S. (2016). Investigation of the use of eye tracking to examine tourism advertising effectiveness. Current Issues in Tourism, 19(7), 634-642. https://doi.org/10.1080/13683500.2014.1003797

Shaari, N. A. S., Syafiq, M. M. J., Amin, M. K. M., & Mikami, O. (2019). Electroencephalography (eeg) application in neuromarketing-exploring the subconscious mind. Journal of Advanced Manufacturing Technology (JAMT), 13 (2).

Shi, Y., Ruiz, N., Taib, R., Choi, E., & Chen, F. (2007, April). Galvanic skin response (GSR) as an index of cognitive load. In CHI'07 extended abstracts on Human factors in computing systems (pp. 2651-2656). https://doi.org/10.1145/1240866.1241057

Small, D. A., & Verrochi, N. M. (2009). The face of need: Facial emotion expression on charity advertisements. Journal of marketing research, 46(6), 777-787. https://doi.org/10.1509/jmkr.46.6.777_JMR6F

Söderlund, M., & Sagfossen, S. (2017). The depicted service employee in marketing communications: an empirical assessment of the impact of facial happiness. Journal of Retailing and Consumer Services, 38, 186-193. https://doi.org/10.1016/j.jretconser.2017.06.006

Stanton, S. J., Sinnott-Armstrong, W., & Huettel, S. A. (2017). Neuromarketing: Ethical implications of its use and potential misuse. Journal of Business Ethics, 144(4), 799-811. http://www.bbc.com/news/technology-29475019

Suomala, J., Palokangas, L., Leminen, S., Westerlund, M., Heinonen, J., & Numminen, J. (2012). Neuromarketing: Understanding customers' subconscious responses to marketing.

Touchette, B., & Lee, S. E. (2017). Measuring neural responses to apparel product attractiveness: an application of frontal asymmetry theory. Clothing and Textiles Research Journal, 35(1), 3-15. https://doi.org/10.1177/0887302X16673157

Ulman, Y. I., Cakar, T., & Yildiz, G. (2015). Ethical issues in neuromarketing:“I consume, therefore, I am!”. Science and engineering ethics, 21(5), 1271-1284. https://doi.org/10.1007/s11948-014-9581-5

Uva, T., Freitas, C. L. D., & Paiva, T. (2015). Neuroscience technologies in marketing: a study of gender and TV advertisements using electroencephalography. International Journal of Technology Marketing, 10(4), 362-380. https://doi.org/10.1504/IJTMKT.2015.072181

Van Reijmersdal, E. A., Rozendaal, E., Hudders, L., Vanwesenbeeck, I., Cauberghe, V., & van Berlo, Z. M. (2020). Effects of disclosing influencer marketing in videos: An eye tracking study among children in early adolescence. Journal of Interactive Marketing, 49, 94-106. https://doi.org/10.1016/j.intmar.2019.09.001

Vecchiato, G., Astolfi, L., Fallani, F. D. V., Toppi, J., Aloise, F., Bez, F., & Babiloni, F.(2011). On the use of EEG or MEG brain imaging tools in neuromarketing research. Computational intelligence and neuroscience, 2011. Doi 10.1155/2011/643489

Vecchiato, G., Babiloni, F., Astolfi, L., Toppi, J., Cherubino, P., Dai, J., & Wei, D. (2011). Enhance of theta EEG spectral activity related to the memorization of commercial advertisings in Chinese and Italian subjects. In 2011 4th International Conference on Biomedical Engineering and Informatics (BMEI) (Vol. 3, pp. 1491-1494). IEEE. https://doi.org/10.1109/BMEI.2011.6098615

Venkatraman, V. (2019). Galvanic Skin Response in Consumer Neuroscience. Ipsos Fellow.

Wang, P. S., Huang, S. R., Tsai, C. W., Lu, C. F., Teng, S., Hung, C. I., & Wu, Y. T. (2014). Attention drawing of movie trailers revealed by electroencephography using sample entropy. Journal of Biosciences and medicines, 2(4), 6-11. http://dx.doi.org/10.4236/jbm.2014.24002

Wang, X., Ma, Q., & Wang, C. (2012). N400 as an index of uncontrolled categorization processing in brand extension. Neuroscience letters, 525(1), 76-81. https://doi.org/10.1016/j.neulet.2012.07.043

Web of science (2021). Coleção principal. Disponível em: www-periodicos-capes-gov- br.ezl.periodicos.capes.gov.br

Yang, T., & Kim, S. P. (2019). Group-level neural responses to service-to-service brand extension. Frontiers in neuroscience, 13, 676. https://doi.org/10.3389/fnins.2019.00676

Yang, T., Lee, S., Seomoon, E., & Kim, S. P. (2018). Characteristics of human brain activity during the evaluation of service-to-service brand extension. Frontiers in human neuroscience, 12, 44. https://doi.org/10.3389/fnhum.2018.00044

Yuvaraj, R., Murugappan, M., Ibrahim, N. M., Omar, M. I., Sundaraj, K., Mohamad, K., & Satiyan, M. (2014). Emotion classification in Parkinson's disease by higher-order spectra and power spectrum features using EEG signals: A comparative study. Journal of integrative neuroscience, 13(01), 89-120. https://doi.org/10.1142/S021963521450006X

Xiao, L., & Wang, S. (2022). Mobile marketing interface layout attributes that affect user aesthetic preference: an eye-tracking study. Asia Pacific Journal of Marketing and Logistics. https://doi.org/10.1108/APJML-07-2021-0477

Zhang, J., Yun, J. H., & Lee, E. J. (2021). Brain buzz for Facebook? Neural indicators of SNS content engagement. Journal of Business Research, 130, 444-452. https://doi.org/10.1016/j.jbusres.2020.01.029

Zurawicki, L. (2010). Neuromarketing: Exploring the brain of the consumer. Springer Science & Business Media. Doi 10.1007/978-3-540-77829-5

Published

2024-02-08

How to Cite

Pagan, N. M., Pagan, K. M., Giraldi, J. de M. E., & Oliveira, J. H. C. de. (2024). Proposal for modeling the experimental process for Neuromarketing research using the electroencephalography tool. ReMark - Revista Brasileira De Marketing, 23(1), 366–451. https://doi.org/10.5585/remark.v23i1.20018

Issue

Section

Special Issue: Applications of neurosciences to the marketing field