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Neuromarketing

  • Robin Chark
Chapter

Abstract

This chapter surveys methodological advancements in consumer research as a result of recent developments in neuroscience and behavioral genetics. This new approach is highly interdisciplinary and is termed as “neuromarketing”, paralleling similar developments in related fields such as neuropsychology and neuroeconomics. Researchers of this approach consider our behaviors to be results of psychological processes embodied physiologically in the brain and nervous system. Thus, the biological influences may be rooted in our genes and shape the activities in our brain, and thus behaviors through actions on hormones and neurotransmitters. In this paradigm, our genotypes may be interpreted as a measure of individual differences, while brain activities may be observed and taken as more direct measures of the underlying psychological process. Such a neurobiological approach may take consumer research to another level and help answer some historically difficult questions. These questions are not confined to marketing scholars’ interest in theory development; they encompass real-world marketing implications of concern to practitioners. To illustrate this, we review some recent findings in neuromarketing that make use of neuroimaging, twin study, and molecular genetics. We then discuss some recent trends in neighboring fields and their implications for the future of neuromarketing.

References

  1. Aaker, J. L. (1997). Dimensions of Brand Personality. Journal of Marketing Research, 34(3), 347–356.Google Scholar
  2. Ariely, D., & Berns, G. S. (2010). Neuromarketing: The Hope and Hype of Neuroimaging in Business. Nature Reviews Neuroscience, 11(4), 284–292.CrossRefGoogle Scholar
  3. Aspara, J., & Van Den Bergh, B. (2014). Naturally Designed for Masculinity Vs. Femininity? Prenatal Testosterone Predicts Male Consumers’ Choices of Gender-Imaged Products. International Journal of Research in Marketing, 31(1), 117–121.CrossRefGoogle Scholar
  4. Azoulay, A., & Kapferer, J.-N. (2003). Do Brand Personality Scales Really Measure Brand Personality? Journal of Brand Management, 11(2), 143–155.CrossRefGoogle Scholar
  5. Camerer, C., & Yoon, C. (2015). Introduction to the Journal of Marketing Research Special Issue on Neuroscience and Marketing. Journal of Marketing Research, 52(4), 423–426.CrossRefGoogle Scholar
  6. Cesarini, D., Johannesson, M., Lichtenstein, P., Sandewall, Ö., & Wallace, B. (2010). Genetic Variation in Financial Decision-Making. The Journal of Finance, 65(5), 1725–1754.CrossRefGoogle Scholar
  7. Cesarini, D., Johannesson, M., Magnusson, P. K. E., & Wallace, B. (2012). The Behavioral Genetics of Behavioral Anomalies. Management Science, 58(1), 21–34.CrossRefGoogle Scholar
  8. Chen, Y.-P., Nelson, L. D., & Hsu, M. (2015). From “Where” to “What”: Distributed Representations of Brand Associations in the Human Brain. Journal of Marketing Research, 52(4), 453–466.CrossRefGoogle Scholar
  9. Dietvorst, R. C., Verbeke, W. J. M. I., Bagozzi, R. P., Yoon, C., Smits, M., & Van Der Lugt, A. (2009). A Sales Force-Specific Theory-of-Mind Scale: Tests of Its Validity by Classical Methods and Functional Magnetic Resonance Imaging. Journal of Marketing Research, 46(5), 653–668.CrossRefGoogle Scholar
  10. Durante, K. M., Griskevicius, V., Hill, S. E., Perilloux, C., & Norman, P. L. (2011). Ovulation, Female Competition, and Product Choice: Hormonal Influences on Consumer Behavior. Journal of Consumer Research, 37(6), 921–934.CrossRefGoogle Scholar
  11. Ebstein, R. P., Zhong, S., Chark, R., San Lai, P., & Chew, S. H. (2015). Modeling the Genetics of Social Cognition in the Laboratory. In The Oxford Handbook of Molecular Psychology (p. 167). New York: Oxford University Press.Google Scholar
  12. Eklund, A., Nichols, T. E., & Knutsson, H. (2016). Cluster Failure: Why fMRI Inferences for Spatial Extent Have Inflated False-Positive Rates. Proceedings of the National Academy of Sciences, 113(28), 7900–7905.Google Scholar
  13. Erk, S., Spitzer, M., Wunderlich, A. P., Galley, L., & Walter, H. (2002). Cultural Objects Modulate Reward Circuitry. Neuroreport, 13(18), 2499–2503.CrossRefGoogle Scholar
  14. Fisher, C. E., Chin, L., & Klitzman, R. (2010). Defining Neuromarketing: Practices and Professional Challenges. Harvard Review of Psychiatry, 18(4), 230–237.CrossRefGoogle Scholar
  15. Hariri, A. R., & Weinberger, D. R. (2003). Imaging Genomics. British Medical Bulletin, 65(1), 259–270.CrossRefGoogle Scholar
  16. Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., Egan, M. F., & Weinberger, D. R. (2002). Serotonin Transporter Genetic Variation and the Response of the Human Amygdala. Science, 297(5580), 400–403.CrossRefGoogle Scholar
  17. Hedgcock, W., & Rao, A. R. (2009). Trade-Off Aversion as an Explanation for the Attraction Effect: A Functional Magnetic Resonance Imaging Study. Journal of Marketing Research, 46(1), 1–13.CrossRefGoogle Scholar
  18. Huber, J., Payne, J. W., & Puto, C. (1982). Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis. Journal of Consumer Research, 9(1), 90–98.CrossRefGoogle Scholar
  19. Kitayama, S., King, A., Yoon, C., Tompson, S., Huff, S., & Liberzon, I. (2014). The Dopamine D4 Receptor Gene (DRD4) Moderates Cultural Difference in Independent Versus Interdependent Social Orientation. Psychological Science, 25(6), 1169–1177.CrossRefGoogle Scholar
  20. Knafo, A., & Plomin, R. (2006). Prosocial Behavior from Early to Middle Childhood: Genetic and Environmental Influences on Stability and Change. Developmental Psychology, 42(5), 771.CrossRefGoogle Scholar
  21. Lee, N., Broderick, A. J., & Chamberlain, L. (2007). What Is ‘Neuromarketing’? A Discussion and Agenda for Future Research. International Journal of Psychophysiology, 63(2), 199–204.CrossRefGoogle Scholar
  22. Lichters, M., Brunnlieb, C., Nave, G., Sarstedt, M., & Vogt, B. (2016). The Influence of Serotonin Deficiency on Choice Deferral and the Compromise Effect. Journal of Marketing Research, 53(2), 183–198.CrossRefGoogle Scholar
  23. Luce, M. F., Bettman, J. R., & Payne, J. W. (2001). An Integrated Model of Trade-Off Difficulty and Consumer Choice. Journal of Consumer Research, 1(11), 11–35.Google Scholar
  24. Mandel, N. (2003). Shifting Selves and Decision Making: The Effects of Self-Construal Priming on Consumer Risk-Taking. Journal of Consumer Research, 30(1), 30–40.CrossRefGoogle Scholar
  25. McClure, S. M., Li, J., Tomlin, D., Cypert, K. S., Montague, L. M., & Read Montague, P. (2004). Neural Correlates of Behavioral Preference for Culturally Familiar Drinks. Neuron, 44(2), 379–387.CrossRefGoogle Scholar
  26. Morin, C. (2011). Neuromarketing: The New Science of Consumer Behavior. Society, 48(2), 131–135.CrossRefGoogle Scholar
  27. O’Connell, L. A., & Hofmann, H. A. (2012). Evolution of a Vertebrate Social Decision-Making Network. Science, 336(6085), 1154–1157.CrossRefGoogle Scholar
  28. Parducci, A. (1965). Category Judgment: A Range-Frequency Model. Psychological Review, 72(6), 407.CrossRefGoogle Scholar
  29. Plassmann, H., Ambler, T., Braeutigam, S., & Kenning, P. (2007). What Can Advertisers Learn from Neuroscience? International Journal of Advertising, 26(2), 151–175.CrossRefGoogle Scholar
  30. Plassmann, H., & Weber, B. (2015). Individual Differences in Marketing Placebo Effects: Evidence from Brain Imaging and Behavioral Experiments. Journal of Marketing Research, 52(4), 493–510.CrossRefGoogle Scholar
  31. Plassmann, H., O’Doherty, J., Shiv, B., & Rangel, A. (2008). Marketing Actions Can Modulate Neural Representations of Experienced Pleasantness. Proceedings of the National Academy of Sciences, 105(3), 1050–1054.CrossRefGoogle Scholar
  32. Plassmann, H., Ramsøy, T. Z., & Milosavljevic, M. (2012). Branding the Brain: A Critical Review and Outlook. Journal of Consumer Psychology, 22(1), 18–36.CrossRefGoogle Scholar
  33. Plassmann, H., Venkatraman, V., Huettel, S., & Yoon, C. (2015). Consumer Neuroscience: Applications, Challenges, and Possible Solutions. Journal of Marketing Research, 52(4), 427–435.CrossRefGoogle Scholar
  34. Poldrack, R. A. (2006). Can Cognitive Processes Be Inferred from Neuroimaging Data? Trends in Cognitive Sciences, 10(2), 59–63.CrossRefGoogle Scholar
  35. Rao, A. R., & Monroe, K. B. (1989). The Effect of Price, Brand Name, and Store Name on Buyers’ Perceptions of Product Quality: An Integrative Review. Journal of Marketing Research, 26(3), 351–357.Google Scholar
  36. Reimann, M., Schilke, O., Weber, B., Neuhaus, C., & Zaichkowsky, J. (2011). Functional Magnetic Resonance Imaging in Consumer Research: A Review and Application. Psychology and Marketing, 28(6), 608–637.CrossRefGoogle Scholar
  37. Rietveld, C. A., Medland, S. E., Derringer, J., Yang, J., Esko, T., Martin, N. W., Westra, H.-J., et al. (2013). GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment. Science, 340(6139), 1467–1471.CrossRefGoogle Scholar
  38. Schaefer, M., & Rotte, M. (2007). Favorite Brands as Cultural Objects Modulate Reward Circuit. Neuroreport, 18(2), 141–145.CrossRefGoogle Scholar
  39. Schaefer, M., Berens, H., Heinze, H.-J., & Rotte, M. (2006). Neural Correlates of Culturally Familiar Brands of Car Manufacturers. NeuroImage, 31(2), 861–865.CrossRefGoogle Scholar
  40. Shiv, B. (2007). Emotions, Decisions, and the Brain. Journal of Consumer Psychology, 17(3), 174–178.CrossRefGoogle Scholar
  41. Shiv, B., Bechara, A., Levin, I., Alba, J. W., Bettman, J. R., Dube, L., Isen, A., et al. (2005). Decision Neuroscience. Marketing Letters, 16(3–4), 375–386.CrossRefGoogle Scholar
  42. Simonson, I. (1989). Choice Based on Reasons: The Case of Attraction and Compromise Effects. Journal of Consumer Research, 16(2), 158–174.CrossRefGoogle Scholar
  43. Simonson, I., & Sela, A. (2011). On the Heritability of Consumer Decision Making: An Exploratory Approach for Studying Genetic Effects on Judgment and Choice. Journal of Consumer Research, 37(6), 951–966.CrossRefGoogle Scholar
  44. Smidts, A., Hsu, M., Sanfey, A. G., Boksem, M. A. S., Ebstein, R. B., Huettel, S. A., Kable, J. W., et al. (2014). Advancing Consumer Neuroscience. Marketing Letters, 25(3), 257–267.CrossRefGoogle Scholar
  45. Tu, Y., & Hsee, C. K. (2016). Consumer Happiness Derived from Inherent Preferences Versus Learned Preferences. Current Opinion in Psychology, 10, 83–88.CrossRefGoogle Scholar
  46. Venkatraman, V., Clithero, J. A., Fitzsimons, G. J., & Huettel, S. (2012). New Scanner Data for Brand Marketers: How Neuroscience Can Help Better Understand Differences in Brand Preferences. Journal of Consumer Psychology, 22, 143–153.CrossRefGoogle Scholar
  47. Waber, R. L., Shiv, B., & Carmon, Z. (2008). Commercial Features of Placebo and Therapeutic. JAMA, 299(9), 1016–1017.CrossRefGoogle Scholar
  48. Wager, T. D., Rilling, J. K., Smith, E. E., Sokolik, A., Casey, K. L., Davidson, R. J., Kosslyn, S. M., Rose, R. M., & Cohen, J. D. (2004). Placebo-Induced Changes in fMRI in the Anticipation and Experience of Pain. Science, 303(5661), 1162–1167.CrossRefGoogle Scholar
  49. Wedell, D. H. (1991). Distinguishing Among Models of Contextually Induced Preference Reversals. Journal of Experimental Psychology: Learning, Memory, and Cognition, 17(4), 767.Google Scholar
  50. Wedell, D. H., & Pettibone, J. C. (1996). Using Judgments to Understand Decoy Effects in Choice. Organizational Behavior and Human Decision Processes, 67(3), 326–344.CrossRefGoogle Scholar
  51. Yoon, C., Gutchess, A. H., Feinberg, F., & Polk, T. A. (2006). A Functional Magnetic Resonance Imaging Study of Neural Dissociations Between Brand and Person Judgments. Journal of Consumer Research, 33(1), 31–40.CrossRefGoogle Scholar

Copyright information

© The Author(s) 2018

Authors and Affiliations

  • Robin Chark
    • 1
  1. 1.Faculty of Business AdministrationUniversity of MacauMacauChina

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