Consumer Behaviour Through Neuromarketing Approach

Authors

  • AHMED H. ALSHARIF
  • NOR ZAFIR MD SALLEH
  • ROHAIZAT BAHARUN
  • MOHD EFFANDI YUSOFF

Keywords:

Neuromarketing, Neuromarketing tool, Ethical issues, Decision-making

Abstract

The advance of neuroscience allowed neuromarketing to use neuroimaging tools, whether for marketing purposes or to study people's daily behaviour. As the main contribution, this review shows how to effectively employ neuroscience tools to understand an individual’s decision-making processes effectively. To this end, we will describe the period of neuromarketing development and its application in evaluating the perception towards marketing stimuli. After that, we will discuss the tools for measuring brain activity and non-brain activity, the pros and cons, what it measures, and when does it use each device. This paper will also discuss a series of publications related to the neuromarketing subject. Moreover, this paper will discuss the ethical issues raised by using these tools to assess human behaviour during purchase decisions. In conclusion, it will be discussed the challenges of this field and the possible future scenario.

References

Aditya, D., & Sarno, R. 2018. Neuromarketing: State of the arts. Advanced Science Letters, 24(12): 9307- 9310. doi:10.1166/asl.2018.12261

Alsharif, A. H., Salleh, N. M., & Baharun, R. 2020. Research trends of neuromarketing: A bibliometric analysis. Journal of Theoretical and Applied Information Technology, 98(15): 2948-2962.

Alsharif, A. H., Salleh, N. M., Baharun, R., & Safaei, M. 2020. Neuromarketing approach: An overview and future research directions. Journal of Theoretical and Applied Information Technology, 98(7): 991- 1001.

Ariely, D., & Berns, G. S. 2010. Neuromarketing: the hope and hype of neuroimaging in business. Nature Reviews Neuroscience, 11(4): 284-292.

Arlauskaitė, E., Sferle, A., & Arlauskaite, E. 2013. Ethical issues in neuromarketing. Science, 311(2): 47- 52.

Basaly, L. (2020). Neuromarketing Altering Consumer Behavior. (Bachelor), German University in Cairo, Cairo, Egypt.

Bercea, M. (2013). Quantitative versus qualitative in neuromarketing research. In (Vol. 4, pp. 1-12): Munich Personal RePEc Archive.

Bercea, M. D. Year. Anatomy of methodologies for measuring consumer behavior in neuromarketing research. Paper presented at the LCBR European Marketing Conference, Ebermannstadt, Germany.

Berliñska, E., & Kaszycka, I. Year. Neuromarketing–chance or danger for consumers in opinion of MCSU’s students. Paper presented at the Managing Innovation and Diversity in Knowledge Society Through Turbulent Time: Proceedings of the MakeLearn and TIIM Joint International Conference 2016.

Boksem, M., & Smidts, A. 2015. Brain responses to movie trailers predict individual preferences for movies and their population-wide commercial success. Journal of Marketing Research, 52(4): 482-492.

Boucsein, W. 2012. Electrodermal activity: Springer Science & Business Media.

Brammer, M. 2004. Brain scam? Nature neuroscience, 7(10): 1015-1015.

Cartocci, G., Modica, E., Rossi, D., Cherubino, P., Maglione, A. G., Colosimo, A., . . . Babiloni, F. 2018. Neurophysiological measures of the perception of antismoking public service announcements among young population. Frontiers in Human Neuroscience, 12(2): 231-248.

Chae, S. W., & Lee, K. C. 2013. Exploring the effect of the human brand on consumers' decision quality in online shopping: An eye‐tracking approach. Online Information Review.

Chavaglia, J. N., Filipe, J. A., & Ramalheiro, B. 2011. Neuromarketing: consumers and the anchoring effect. International Journal of Latest Trends in Finance and Economics Sciences(4): 183-189.

Cherubino, P., Martinez-Levy, A. C., Caratu, M., Cartocci, G., Di Flumeri, G., Modica, E., . . . Trettel, A. 2019a. Consumer behaviour through the eyes of neurophysiological measures: State-of-the-art and future trends. Computational Intelligence and Neuroscience.

Cherubino, P., Martinez-Levy, A. C., Caratu, M., Cartocci, G., Di Flumeri, G., Modica, E., . . . Trettel, A. 2019b. Consumer behaviour through the eyes of neurophysiological measures: State of the art and future trends. Computational Intelligence and Neuroscience, 3(2): 01-41.

Dawson, M., Schell, A., & Filion, D. (2007). The electrodermal system. Handbook of psychophysiology 2, . In (pp. 200–223).

Di Flumeri, G., Aricò, P., Borghini, G., Sciaraffa, N., Di Florio, A., & Babiloni, F. 2019. The dry revolution: evaluation of three different EEG dry electrode types in terms of signal spectral features, mental states classification and usability. Sensors, 19(6): 1365.

Di Flumeri, G., 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.

Du Plessis, E. 2011. The branded mind: What neuroscience really tells us about the puzzle of the brain and the brand: Kogan Page Publishers.

Ekman, P. 2003. Darwin, deception, and facial expression. Annals of the New York Academy of Sciences, 1000(1): 205-221.

Ekman, P. 2003. The face revealed. Weidenfeld & Nicolson, London.

Emic, A., Cabro, S., & Emic, D. 2019. Artificial Intelligence and Neuromarketing. Paper presented at the 2nd INTERNATIONAL SCIENTIFIC CONFERENCE ON DIGITAL ECONOMY DIEC 2019.

Fisher, C., Chin, L., & Klitzman, R. 2010. Defining neuromarketing: Practices and professional challenges. Harvard Review of Psychiatry, 18(4): 230-237.

Fortunato, V. C. R., Giraldi, J. d. M. E., & de Oliveira, J. H. C. 2014. A review of studies on neuromarketing: Practical results, techniques, contributions and limitations. Journal of Management Research, 6(2): 201.

Fortunato, V. C. R., Giraldi, J. D. M. E., & Oliveira, J. H. C. D. 2014. A review of studies on neuromarketing: Practical results, techniques, contributions and limitations. Journal of Management Research, 6(2): 201-221.

Fugate, D. L. 2007. Neuromarketing: a layman's look at neuroscience and its potential application to marketing practice. Journal of Consumer Marketing, 24(7): 385-394.

Gani, M., Reza, S., & Rabi, M. Year. Neuromarketing: methodologies of marketing science. Paper presented at the Proceedings of The 3rd International Conference On Advances in Economics, Management and Social Study.

Genco, S., Pohlmann, A., & Steidl, P. 2013. Neuromarketing for dummies: John Wiley & Sons.

Gluth, S., Rieskamp, J., & Büchel, C. 2012. Deciding when to decide: time-variant sequential sampling models explain the emergence of value-based decisions in the human brain. Journal of Neuroscience, 32(31): 10686-10698.

Greenwald, A., McGhee, D., & Schwartz, J. 1998. Measuring individual differences in implicit cognition: The implicit association test. Journal of personality and social psychology, 74(6): 1464-1480.

Hadinejad, A., Moyle, B., Scott, N., & Kralj, A. 2019. Emotional responses to tourism advertisements: The application of facereader. Tourism Recreation Research, 44(1): 131-135.

Hakim, A., Klorfeld, S., Sela, T., Friedman, D., Shabat-Simon, M., & Levy, D. J. 2018. Pathways to Consumers’ Minds: Using Machine Learning and Multiple EEG Metrics to Increase Preference Prediction Above and Beyond Traditional Measurements. bioRxiv: 317073.

Hoffman, J. 1998. Visual attention and eye movements. Attention, 31(2): 119-153.

Jack, R., & Schyns, P. 2015. The human face as a dynamic tool for social communication. Current Biology, 25(14): 621-634.

Jordão, I. L. D. S., Souza, M. T. D., Oliveira, J. H. C. D., & Giraldi, J. D. M. E. 2017. Neuromarketing applied to consumer behaviour: an integrative literature review between 2010 and 2015. International Journal of Business Forecasting and Marketing Intelligence, 3(3): 270-288.

Kahneman, D. 2011. Thinking, fast and slow: Macmillan.

Kahneman, D., & Egan, P. 2011. Thinking, fast and slow vol. 1 Farrar. Straus and Giroux New York.

King, A., Bol, N., Cummins, R., & John, K. 2019. Improving visual behavior research in communication science: An overview, review, and reporting recommendations for using eye-tracking methods. Communication Methods and Measures, 13(3): 149-177.

Kühn, S., Strelow, E., & Gallinat, J. 2016. Multiple “buy buttons” in the brain: Forecasting chocolate sales at point-of-sale based on functional brain activation using fMRI. Neuroimage, 136: 122-128.

Lee, N., Brandes, L., Chamberlain, L., & Senior, C. 2017. This is your brain on neuromarketing: Reflections on a decade of research. Journal of Marketing Management, 33(11-12): 878-892.

Lee, N., Broderick, A., & Chamberlain, L. 2007. What is ‘neuromarketing’? A discussion and agenda for future research. International Journal of Psychophysiology, 63(2): 199-204.

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, Economics, 8(4): 241-250.

Liaudanskaitė, G., Saulytė, G., Jakutavičius, J., Vaičiukynaitė, E., Zailskaitė-Jakštė, L., & Damaševičius, R. Year. Analysis of affective and gender factors in image comprehension of visual advertisement. Paper presented at the Computer Science On-line Conference.

Lindstrom, M. 2010. Buy ology: Truth and lies about why we buy: Currency.

Maison, D., & Gregg, A. P. Year. Capturing the consumer's unconcious: Applying the implicit association test in consumer research. Paper presented at the Routledge international handbook of consumer psychology.

McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M., & Montague, P. R. 2004. Neural correlates of behavioral preference for culturally familiar drinks. Neuron, 44(2): 379-387.

McDuff, D., El Kaliouby, R., Cohn, J., & Picard, R. G. 2014. Predicting ad liking and purchase intent: Large-scale analysis of facial responses to ads. Ieee Transactions on Affective Computing, 6(3): 223-235.

Morin, C. 2011. Neuromarketing: The new science of consumer behavior. Society, 48(2): 131-135.

Murphy, E., Illes, J., & Reiner, P. 2008. Neuroethics of neuromarketing. Journal of Consumer Behaviour, 7(4): 293-302.

Mutlu, B., Yamaoka, F., Kanda, T., Ishiguro, H., & Hagita, N. Year. Nonverbal leakage in robots: communication of intentions through seemingly unintentional behavior. Paper presented at the Proceedings of the 4th ACM/IEEE international conference on Human robot interaction.

Nemorin, S., & Gandy, O. 2017. Exploring neuromarketing and its reliance on remote sensing: Social and ethical concerns. International Journal of Communication, 11(3): 4824-4844.

Ohme, R., Matukin, M., & Pacula-Lesniak, B. 2011. Biometric measures for interactive advertising research. Journal of interactive advertising, 11(2): 60-72.

Orzan, G., Zara, I., & Purcarea, V. 2012. Neuromarketing techniques in pharmaceutical drugs advertising. A discussion and agenda for future research. Journal of medicine and life, 5(4): 428-432.

Page, G. 2012. Scientific realism: What neuromarketing can and can't tell us about consumers. International Journal of Market Research, 54(2): 287-290.

Piqueras-Fiszman, B., Velasco, C., Salgado-Montejo, A., & Spence, C. 2013. Using combined eye tracking and word association in order to assess novel packaging solutions: A case study involving jam jars. Food Quality and Preference, 28(1): 328-338.

Plassmann, H., Ramsøy, T. Z., & Milosavljevic, M. 2012. Branding the brain: A critical review and outlook. Journal of Consumer Psychology, 22(1): 18-36.

Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. 2015. Consumer neuroscience: Applications, challenges, and possible solutions. Journal of Marketing Research, 52(4): 427-435.

Pop, N., Dabija, D., & Iorga, A. 2014. Ethical responsibility of neuromarketing companies in harnessing the market research: A global exploratory approach. Amfiteatru Economic, 16(35): 26-40.

Rayner, K. 2009. Eye movements and attention in reading, scene perception, and visual search. Quarterly Journal of Experimental Psychology, 62(8): 1457-1506.

Rossi, D., Modica, E., Maglione, A. G., Venuti, I., Brizi, A., Babiloni, F., & Cartocci, G. Year. Visual evaluation of health warning cues in anti smoking PSAs images. Paper presented at the 2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI).

Salichs, M. A., Barber, R., Khamis, A. M., Malfaz, M., Gorostiza, J. F., Pacheco, R., . . . García, D. Year. Maggie: A robotic platform for human-robot social interaction. Paper presented at the 2006 IEEE conference on robotics, automation and mechatronics.

Sebastian, V. 2014. Neuromarketing and evaluation of cognitive and emotional responses of consumers to marketing stimuli. Procedia Social Behavioral Sciences, 127(2): 753-757.

Silberstein, R., & Nield, G. 2008. Brain activity correlates of consumer brand choice shift associated with television advertising. International Journal of Advertising, 27(3): 359-380.

Solnais, C., Andreu-Perez, J., Sánchez-Fernández, J., & Andréu-Abela, J. 2013. The contribution of neuroscience to consumer research: A conceptual framework and empirical review. Journal of Economic Psychology, 36(3): 68-81.

Somervuori, O., & Ravaja, N. 2013. Purchase behavior and psychophysiological responses to different price levels. Psychology & Marketing, 30(6): 479-489.

Stanton, S., Armstrong, W., & Huettel, S. 2017. Neuromarketing: Ethical implications of its use and potential misuse. Journal of Business Ethics, 144(4): 799-811.

Tallis, R., & Taylor, M. (2011). Neuromania? In: JSTOR.

Telpaz, A., Webb, R., & Levy, D. J. 2015. Using EEG to predict consumers’ future choices. Journal of Marketing Research, 52(4): 511-529.

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. doi:10.1007/s11948-014-9581-5

Vecchiato, G., Cherubino, P., Trettel, A., & Babiloni, F. 2013. Neuroelectrical brain imaging tools for the study of the efficacy of TV advertising stimuli and their application to neuromarketing: Springer.

Venkatraman, V., Dimoka, A., Pavlou, P. A., Vo, K., Hampton, W., Bollinger, B., . . . Winer, R. S. 2015. Predicting advertising success beyond traditional measures: New insights from neurophysiological methods and market response modeling. Journal of Marketing Research, 52(4): 436-452.

Zander, T., & Kothe, C. 2011. Towards passive brain–computer interfaces: applying brain–computer interface technology to human–machine systems in general. Journal of neural engineering, 8(2): 1-5.

Zhao, Q., & Koch, C. 2013. Learning saliency-based visual attention: A review. Signal Processing, 93(6): 1401-1407.

Zurawicki, L. 2010. Neuromarketing: Exploring the brain of the consumer: Springer Science & Business Media.

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Published

2021-06-30

How to Cite

ALSHARIF, A. H. ., SALLEH, N. Z. M. ., BAHARUN, R. ., & YUSOFF, M. E. . (2021). Consumer Behaviour Through Neuromarketing Approach. The Journal of Contemporary Issues in Business and Government, 27(3), 344–354. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/1607