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Consumer Neuroscience: Recent Theoretical and Methodological Developments for Research and Practice Using a Cube Model

  • Marco HubertEmail author
  • Mirja Hubert
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Part of the Advances in Neuroethics book series (AIN)

Abstract

In marketing and consumer research, the application and integration of neuroscientific methods, insights, theories, and tools has increased steadily. In particular, the investigation of implicit and unconscious processes using neuroscientific methods to clarify decision-making processes holds great interest for both researchers and practitioners. Yet despite this interest, problems and limitations continue to hinder the emergence of this field of research. Which insights and analyses can, or cannot, be achieved with neuroscientific research methods in a consumer research context needs to be clarified. This review chapter outlines recent scientific and methodological developments to inform interested researchers and practitioners about the benefits and limitations, as well as ethical considerations, associated with integrating neuroscientific tools into consumer research.

Keywords

Consumer neuroscience Neuromarketing Marketing research Neuroscience 

References

  1. Achrol RS, Kotler P. Frontiers of the marketing paradigm in the third millennium. J Acad Mark Sci. 2012;40:35–52.CrossRefGoogle Scholar
  2. Ahlert D, Hubert M. Offene fragen der markenführung an die neurowissenschaftliche markenforschung. In: Bruhn M, Köhler R, editors. wie marken wirken – impulse aus der neuroökonomie für die markenführung. München: Franz vahlen; 2010. p. 47–55.Google Scholar
  3. Ambler T, Hollier EA. The waste in advertising is the part that works. J Advert Res. 2004;44:375–89.CrossRefGoogle Scholar
  4. Ambler T, Ioannides A, Rose S. Brands on the brain: neuro-images of advertising. Bus Strateg Rev. 2000;11:17–30.CrossRefGoogle Scholar
  5. Ambler T, Bräutigam S, Stins J, Rose SP, Swithenby S. Salience and choice: neural correlates of shopping decisions. Psychol Mark. 2004;21:247–66.CrossRefGoogle Scholar
  6. Ariely D, Berns GS. Neuromarketing—the hope and hype of neuroimaging in business. Nat Neurosci. 2010;11:284–92.CrossRefGoogle Scholar
  7. Bagozzi RP. The role of psychophysiology in consumer research. In: Robertson TS, Kassarjian HH, editors. Handbook of consumer behavior. New Jersey: Prentice Hall; 1991. p. 124–61.Google Scholar
  8. Bagozzi RP, Lee N. Philosophical foundations of neuroscience in organizational research: functional and nonfunctional approaches. Organ Res Methods. 2017:1–33.Google Scholar
  9. Banks SJ, Eddy KT, Angstadt M, Nathan PJ, Phan KL. Amygdala-frontal connectivity during emotion regulation. Soc Cogn Affect Neurosci. 2007;2:303–12.PubMedPubMedCentralCrossRefGoogle Scholar
  10. Baumgartner T, Heinrichs M, Vonlanthen A, Fischbacher U, Fehr E. Oxytocin shapes the neural circuitry of trust and trust adaptation in humans. Neuron. 2008;58:639–50.PubMedCrossRefPubMedCentralGoogle Scholar
  11. Bechara A. Decision making, impulse control and loss of willpower to resist drugs: a neurocognitive perspective. Nat Neurosci. 2005;8:1458–63.PubMedCrossRefPubMedCentralGoogle Scholar
  12. Bechara A, Damasio AR. The somatic marker hypothesis: a neural theory of economic decision. Games Econ Behav. 2005;52(2):336–72.CrossRefGoogle Scholar
  13. Bechara A, Damasio H, Tranel D, Damasio AR. Deciding advantageously before knowing the advantageous strategy. Science. 1997;275(5304):1293–5.PubMedCrossRefPubMedCentralGoogle Scholar
  14. Bechara A, Damasio H, Damasio AR. Emotion, decision making and the orbitofrontal cortex. Cereb Cortex. 2000;10(3):295–307.PubMedCrossRefPubMedCentralGoogle Scholar
  15. Blakeslee S. If you have a “buy button” in your brain, what pushes it? N Y Times. 2004;154:5.Google Scholar
  16. Camerer C, Loewenstein G, Prelec D. Neuroeconomics: how neuroscience can inform economics. J Econ Lit. 2005;43(1):9–64.CrossRefGoogle Scholar
  17. Chen YP, Nelson LD, Hsu M. From “where” to “what”: distributed representations of brand associations in the human brain. J Mark Res. 2015;52(4):453–66.PubMedPubMedCentralCrossRefGoogle Scholar
  18. Damasio AR. The somatic marker hypothesis and the possible functions of the prefrontal cortex. Philos Trans R Soc Lond B Biol Sci. 1996;351(1346):1413–20.PubMedCrossRefPubMedCentralGoogle Scholar
  19. Daugherty T, Hoffman E. Neuromarketing: understanding the application of neuroscientific methods within marketing research. In: Thomas AR, Pop NA, Iorga AM, Ducu C, editors. Ethics and neuromarketing. Cham: Springer; 2017. p. 5–30.CrossRefGoogle Scholar
  20. De Martino B, Kumaran D, Seymour B, Dolan RJ. Frames, biases, and rational decision-making in the human brain. Science. 2006;313(5787):684–7.PubMedPubMedCentralCrossRefGoogle Scholar
  21. Delgado MR, Frank RH, Phelps EA. Perceptions of moral character modulate the neural systems of reward during the trust game. Nat Neurosci. 2005;8(11):1611–8.PubMedCrossRefPubMedCentralGoogle Scholar
  22. Deppe M, Schwindt W, Krämer J, Kugel H, Plassmann H, Kenning P, Ringelstein EB. Evidence for a neural correlate of a framing effect: bias-specific activity in the ventromedial prefrontal cortex during credibility judgments. Brain Res Bull. 2005a;67(5):413–21.PubMedCrossRefPubMedCentralGoogle Scholar
  23. Deppe M, Schwindt W, Kugel H, Plassmann H, Kenning P. Nonlinear responses within the medial prefrontal cortex reveal when specific implicit information influences economic decision making. J Neuroimaging. 2005b;15:171–82.PubMedCrossRefPubMedCentralGoogle Scholar
  24. Deppe M, Schwindt W, Pieper A, Kugel H, Plassmann H, Kenning P, Deppe K, Ringelstein EB. Anterior cingulate reflects susceptibility to framing during attractiveness evaluation. NeuroReport. 2007;18(11):1119–23.PubMedCrossRefPubMedCentralGoogle Scholar
  25. Dietvorst RC, Verbeke WJ, Bagozzi RP, Yoon C, Smits M, Van Der Lugt A. A sales force–specific theory-of-mind scale: tests of its validity by classical methods and functional magnetic resonance imaging. J Mark Res. 2009;46(5):653–68.CrossRefGoogle Scholar
  26. Dimoka A. What does the brain tell us about trust and distrust? Evidence from a functional neuroimaging study. MIS Q. 2010;34:373–96.CrossRefGoogle Scholar
  27. Dimoka A, Davis FD. Where does tam reside in the brain? The neural mechanisms underlying technology adoption. Proceedings of the 29th International Conference on Information Systems; 2008. p. 14–7.Google Scholar
  28. Dimoka A, Banker R, Benbasat I, Davis F, Dennis A, Gefen D, Gupta A, Ischebeck A, Kenning P, Pavlou P, Müller-Putz G, Riedl R, vom Brocke J, Weber B. On the use of neurophysiological tools in is research: developing a research agenda for neurois. MIS Q. 2012;36(3):679–702.CrossRefGoogle Scholar
  29. Engel J, Kollat D, Blackwell R. Consumer behavior. New York: Holt, Rinehart & Winston; 1968.Google Scholar
  30. Farah MJ. Emerging ethical issues in neuroscience. Nat Neurosci. 2002;5:1123–9.PubMedCrossRefPubMedCentralGoogle Scholar
  31. Farah MJ. Social, legal, and ethical implications of cognitive neuroscience: “Neuroethics” for short. J Cogn Neurosci. 2007;19:363–4.PubMedCrossRefPubMedCentralGoogle Scholar
  32. Farah MJ, Wolpe PR. Monitoring and manipulating brain function: new neuroscience technologies and their ethical implications. Hasting Cent Rep. 2004;34(3):35–45.CrossRefGoogle Scholar
  33. Fehr E, Camerer CF. Social neuroeconomics: the neural circuitry of social preferences. Trends Cogn Sci. 2007;11(10):419–27.PubMedCrossRefPubMedCentralGoogle Scholar
  34. Fehr E, Fischbacher U, Kosfeld M. Neuroeconomic foundations of trust and social preferences: initial evidence. Am Econ Rev. 2005;95:346–51.PubMedCrossRefPubMedCentralGoogle Scholar
  35. Friston KJ, Büchel C, Fink GR, Morris J, Rolls E, Dolan RJ. Psychophysiological and modulatory interactions in neuroimaging. NeuroImage. 1997;6(3):218–29.PubMedCrossRefPubMedCentralGoogle Scholar
  36. Fumagalli R. The disunity of neuroeconomics: a methodological appraisal. J Econ Methodol. 2010;17(2):119–31.CrossRefGoogle Scholar
  37. Gitelman DR, Penny WD, Ashburner J, Friston KJ. Modeling regional and psychophysiologic interactions in fmri: the importance of hemodynamic deconvolution. NeuroImage. 2003;19(1):200–7.PubMedCrossRefPubMedCentralGoogle Scholar
  38. Glimcher PW. Review decisions, decisions, decisions: choosing a biological science of choice. Neuron. 2002;36:323–32.PubMedCrossRefPubMedCentralGoogle Scholar
  39. Glimcher PW, Dorris MC, Bayer HM. Physiological utility theory and the neuroeconomics of choice. Games Econ Behav. 2005;52:213–56.PubMedPubMedCentralCrossRefGoogle Scholar
  40. Glimcher PW, Camerer C, Poldrack RA, Fehr E. Neuroeconomics, decision making and the brain. 1st ed. London: Academic Press; 2009.Google Scholar
  41. Gröppel-Klein A. Arousal and consumer in-store behavior. Brain Res Bull. 2005;67(5):428–37.CrossRefGoogle Scholar
  42. Grosenick L, Greer S, Knutson B. Interpretable classifiers for fMRI improve prediction of purchases. IEEE Trans Neural Syst Rehabil Eng. 2008;16(6):539–48.PubMedCrossRefPubMedCentralGoogle Scholar
  43. Gul F, Pesendorfer W. The case for mindless economics. In: Caplin A, Schotter A, editors. The foundations of positive and normative economics. New York: Oxford University Press; 2008. p. 3–39.Google Scholar
  44. Hallett M. Transcranial magnetic stimulation and the human brain. Nature. 2000;406:147–50.PubMedCrossRefPubMedCentralGoogle Scholar
  45. Hare T, Camerer C, Rangel A. Self-control in decision-making involves modulation of the vmPFC valuation system. Science. 2009;324:646–8.PubMedCrossRefPubMedCentralGoogle Scholar
  46. Hare TA, Camerer CF, Knoepfle DT, O’Doherty JP, Rangel A. Value computations in ventral medial prefrontal cortex during charitable decision making incorporate input from regions involved in social cognition. J Neurosci. 2010;30(2):583–90.PubMedPubMedCentralCrossRefGoogle Scholar
  47. Hedgcock W, Rao AR. Trade-off aversion as an explanation for the attraction effect: a functional magnetic resonance study. J Mark Res. 2009;46(1):1–13.CrossRefGoogle Scholar
  48. Howard JA, Sheth JN. The theory of buyer behavior. New York: Wiley; 1969.Google Scholar
  49. Hubert M. Does neuroeconomics give new impetus to economic and consumer research? J Econ Psychol. 2010;31(5):812–7.CrossRefGoogle Scholar
  50. Hubert M, Kenning P. A current overview of consumer neuroscience. J Consum Behav. 2008;7(4/5):272–92.CrossRefGoogle Scholar
  51. Hubert M, Hubert M, Florack A, Linzmajer M, Kenning P. Neural correlates of impulsive buying tendencies during perception of product packaging. Psychol Mark. 2013;30(10):861–73.CrossRefGoogle Scholar
  52. Huettel SA, Stowe CJ, Gordon EM, Warner BT, Platt ML. Neural signatures of economic preferences for risk and ambiguity. Neuron. 2006;49(5):765–75.PubMedCrossRefPubMedCentralGoogle Scholar
  53. Huettel SA, Song AW, McCarthy G. Functional magnetic resonance imaging. 2nd ed. Sunderland, MA: Sinauer Associates; 2009.Google Scholar
  54. Illes J, Racine E. Neuroethics: dialogue on a continuum from tradition to innovation. Am J Bioeth. 2005;5(2):W3.CrossRefGoogle Scholar
  55. Kable JW, Glimcher PW. The neural correlates of subjective value during intertemporal choice. Nat Neurosci. 2007;10:1625–33.PubMedPubMedCentralCrossRefGoogle Scholar
  56. Kahneman D, Tversky A. Prospect theory: an analysis of decision under risk. Econometria. 1979;47(2):263–92.CrossRefGoogle Scholar
  57. Karmarkar UR, Shiv B, Knutson B. Cost conscious? The neural and behavioral impact of price primacy on decision making. J Mark Res. 2015;52(4):467–81.CrossRefGoogle Scholar
  58. Kenning P, Linzmajer M. Consumer neuroscience: an overview of an emerging discipline with implications for consumer policy. J Consum Prot Food Saf. 2011;6:111–25.CrossRefGoogle Scholar
  59. Kenning P, Plassmann H. Neuroeconomics: an overview from an economic perspective. Brain Res Bull. 2005;67(5):343–54.PubMedCrossRefPubMedCentralGoogle Scholar
  60. Kenning P, Plassmann H, Deppe M, Kugel H, Schwindt W. The discovery of cortical relief. Field Res Neuromark. 2002;1:1–26.Google Scholar
  61. Kenning P, Plassmann H, Ahlert D. Application of functional magnetic resonance imaging for market research. Qual Mark Res Int J. 2007a;10(2):135–52.CrossRefGoogle Scholar
  62. Kenning P, Plassmann H, Ahlert D. Consumer neuroscience. Marketing ZfP. 2007b;29(1):56–72.CrossRefGoogle Scholar
  63. Kenning P, Plassmann H, Kugel H, Schwindt W, Pieper A, Deppe M. Neural correlates of attractive ads. In: Koschnick WJ, editor. FOCUS-Jahrbuch 2007, Schwerpunkt: neuroökonomie, neuromarketing, neuromarktforschung. München: Focus Magazin Verlag; 2007c. p. 287–98.Google Scholar
  64. Kenning P, Deppe M, Schwindt W, Kugel H, Plassmann H. The good, the bad and the forgotten: an fMRI study on ad liking and ad memory. Adv Consum Res. 2009;36:4–7.Google Scholar
  65. Kenning P, Hubert M, Linzmajer M. Consumer neuroscience. In: Foxall G, editor. Handbook of new developments in consumer behavior. Edward Elgar: Cheltenham; 2012. p. 419–59.Google Scholar
  66. King-Casas B, Tomlin D, Anen C, Camerer CF, Quartz SR, Montague PR. Getting to know you: reputation and trust in a two-person economic exchange. Science. 2005;308(5718):78–83.PubMedCrossRefPubMedCentralGoogle Scholar
  67. Knoch D, Pascual-Leone A, Meyer K, Treyer V, Fehr E. Diminishing reciprocal fairness by disrupting the right prefrontal cortex. Science. 2006;314(5800):829–32.PubMedCrossRefPubMedCentralGoogle Scholar
  68. Knutson B, Bossaerts P. Neural antecedents of financial decisions. J Neurosci. 2007;27(31):8174–7.PubMedPubMedCentralCrossRefGoogle Scholar
  69. Knutson B, Rick S, Wimmer GE, Prelec D, Loewenstein G. Neural predictors of purchases. Neuron. 2007;53(1):147–56.PubMedPubMedCentralCrossRefGoogle Scholar
  70. Koenigs M, Tranel D. Prefrontal cortex damage abolishes brand-cued changes in cola preference. Soc Cogn Affect Neurosci. 2008;3(1):1–6.PubMedPubMedCentralCrossRefGoogle Scholar
  71. Kosslyn SM. If neuroimaging is the answer, what is the question? Philos Trans R Soc Lond B Biol Sci. 1999;354(1387):1283–94.PubMedPubMedCentralCrossRefGoogle Scholar
  72. Kotler P. Marketing management. Analysis, planning and control. Englewood Cliffs, NJ: Prentice-Hall; 1996.Google Scholar
  73. Kotler P, Keller KL. Marketing management. Upper Saddle River, NJ: Prentice Hall; 2006.Google Scholar
  74. Krain AL, Wilson AM, Arbuckle R, Castellanos FX, Milham MP. Distinct neural mechanisms of risk and ambiguity: a meta-analysis of decision making. NeuroImage. 2006;32(1):477–84.PubMedCrossRefPubMedCentralGoogle Scholar
  75. Krampe C, Strelow E, Haas A, Kenning P. The application of mobile fNIRS to “shopper neuroscience”—first insights from a merchandising communication study. Eur J Mark. 2018;52:244–59.CrossRefGoogle Scholar
  76. Kroeber-Riel W. Activation research: psychobiological approaches in consumer research. J Consum Res. 1979;5(4):240–51.CrossRefGoogle Scholar
  77. Krugman HE. Brain waves measurement of media involvement. J Advert Res. 1971;11:3–9.Google Scholar
  78. Lee N, Broderick AJ, Chamberlain L. What is “neuromarketing”? A discussion and agenda for future research. Int J Psychophysiol. 2007;63(2):199–204.PubMedCrossRefPubMedCentralGoogle Scholar
  79. Lieberman MD. Social cognitive neuroscience: a review of core processes. Annu Rev Psychol. 2007;58:259–89.PubMedCrossRefPubMedCentralGoogle Scholar
  80. Lim WM. Demystifying neuromarketing. J Bus Res. 2017;91:205–20.CrossRefGoogle Scholar
  81. Linzmajer M, Hubert M, Hubert M, Kenning P. The perception of lower and higher price thresholds: implications from consumer neuroscience. Adv Consum Res. 2011;39:792–3.Google Scholar
  82. Logothetis NK. What we can do and what we cannot do with fMRI. Nature. 2008;453(12):869–78.PubMedCrossRefPubMedCentralGoogle Scholar
  83. Louie K, Glimcher PW. Separating value from choice, delay discounting activity in the lateral interparietal area. J Neurosci. 2010;30:5498–507.PubMedPubMedCentralCrossRefGoogle Scholar
  84. Marchionni C, Vromen J. Neuroeconomic: hype or hope? J Econ Methodol. 2010;17(2):103–6.CrossRefGoogle Scholar
  85. Matthews PM, Jezzard P. Functional magnetic resonance imaging. J Neurol Neurosurg Psychiatry. 2004;75(1):6–12.PubMedPubMedCentralGoogle Scholar
  86. McCabe K, Houser D, Ryan L, Smith V, Trouard T. A functional imaging study of cooperation in two-person reciprocal exchange. PNAS. 2001;98(20):11832–5.PubMedCrossRefPubMedCentralGoogle Scholar
  87. McCarthy EJ. Basic marketing. Homewood, IL: Irwin; 1960.Google Scholar
  88. McClure S, Li J, Tomlin D, Cypert KS, Montague LM, Montague PR. Neural correlates of behavioural preference for culturally familiar drinks. Neuron. 2004;44(2):379–87.PubMedCrossRefPubMedCentralGoogle Scholar
  89. Mohr PNC, Biehle G, Heekeren HR. Neural processing of risk. J Neurosci. 2010a;30:6613–9.PubMedPubMedCentralCrossRefGoogle Scholar
  90. Mohr PNC, Biehle G, Krugel LK, Li SC, Heekeren HR. Neural foundations of risk-return-trade-off in investment decisions. NeuroImage. 2010b;49:2556–63.PubMedCrossRefPubMedCentralGoogle Scholar
  91. Murphy ER, Illes J, Reiner PB. Neuroethics of neuromarketing. J Consum Behav. 2008;7:293–302.CrossRefGoogle Scholar
  92. Nicosia F. Consumer decision processes. Englewood Cliffs, NJ: Prentice-Hall; 1966.Google Scholar
  93. Olteanu MDB. Neuroethics and responsibility in conducting neuromarketing research. Neuroethics. 2015;8:191–202.CrossRefGoogle Scholar
  94. Perrachione TK, Perrachione JR. Brains and brands: developing mutually informative research in neuroscience and marketing. J Consum Behav. 2008;7:303–18.CrossRefGoogle Scholar
  95. Plassmann H, Weber B. Individual differences in marketing placebo effects: evidence from brain imaging and behavioral experiments. J Mark Res. 2015;52(4):493–510.CrossRefGoogle Scholar
  96. Plassmann H, Kenning P, Ahlert D. Why companies should make their customers happy: the neural correlates of customer loyalty. Adv Consum Res. 2007;34:1–5.CrossRefGoogle Scholar
  97. Plassmann H, Kenning P, Deppe M, Kugel H, Schwindt W. How choice ambiguity modulates activity in brain areas representing brand preference: evidence from consumer neuroscience. J Consum Behav. 2008a;7(4/5):360–7.CrossRefGoogle Scholar
  98. Plassmann H, O’Doherty J, Rangel A. Neural encoding of WTP computation during simple purchasing decisions. Adv Consum Res. 2008b;35:129.Google Scholar
  99. Plassmann H, O’Doherty J, Shiv B, Rangel A. Marketing actions can modulate neural representations of experienced pleasantness. PNAS. 2008c;105(3):1050–4.PubMedCrossRefPubMedCentralGoogle Scholar
  100. Plassmann H, Ramsøy TZ, Milosavljevic M. Branding the brain: a critical review and outlook. J Consum Psychol. 2012;22(1):18–36.CrossRefGoogle Scholar
  101. Plassmann H, Venkatraman V, Huettel S, Yoon C. Consumer neuroscience: applications, challenges, and possible solutions. J Mark Res. 2015;52(4):427–35.CrossRefGoogle Scholar
  102. Platt ML, Huettel SA. Risky business: the neuroeconomics of decision-making under uncertainty. Nat Neurosci. 2008;11:398–403.PubMedPubMedCentralCrossRefGoogle Scholar
  103. Poels K, Dewitte S. How to capture the heart? Reviewing 20 years of emotion measurement in advertising. J Advert Res. 2006;46(1):18–37.CrossRefGoogle Scholar
  104. Poldrack RA. Can cognitive processes be inferred from neuroimaging data? Trends Cogn Sci. 2006;10(2):59–63.PubMedCrossRefGoogle Scholar
  105. Racine E, Bar-Ilan O, Illes J. fMRI in the public eye. Nat Rev Neurosci. 2015;6(2):159.CrossRefGoogle Scholar
  106. Reimann M, Zaichowsky J, Neuhaus C, Bender T, Weber B. Aesthetic package design: a behavioral, neural, and psychological investigation. J Consum Psychol. 2010;20(4):431–41.CrossRefGoogle Scholar
  107. Reimann M, Castaño R, Zaichkowsky J, Bechara A. Novel versus familiar brands: an analysis of neurophysiology, response latency, and choice. Mark Lett. 2012;23(3):745–59.CrossRefGoogle Scholar
  108. Riedl R, Banker R, Benbasat I, Davis F, Dennis A, Dimoka A, Gefen D, Gupta A, Ischebeck A, Kenning P, Pavlou P, Müller-Putz G, Straub D, vom Brocke J, Weber B. The application of neuroeconomics to IS-research. Commun Assoc Inf Syst. 2010a;27:243–64.Google Scholar
  109. Riedl R, Hubert M, Kenning P. Are there neural gender differences in online trust? An fMRI study on the perceived trustworthiness of eBay offers. MIS Q. 2010b;34(2):397–428.CrossRefGoogle Scholar
  110. Rossiter JR, Silberstein RB, Harris PG, Nield G. Brain-imaging detection of visual scene encoding in long-term memory for TV-commercials. J Advert Res. 2001;41(2):13–22.CrossRefGoogle Scholar
  111. Sanfey AG, Rilling JK, Aronson JA, Nystrom LE, Cohen JD. The neural basis of economic decision-making in the ultimatum game. Science. 2003;300(5626):1755–8.PubMedCrossRefPubMedCentralGoogle Scholar
  112. Sanfey AG, Loewenstein G, McClure SM, Cohen JD. Neuroeconomics: cross-currents in research on decision-making. Trends Cogn Sci. 2006;10:108–16.PubMedCrossRefPubMedCentralGoogle Scholar
  113. Savoy RL. Experimental design in brain activation MRI: cautionary tales. Brain Res Bull. 2005;67(5):361–7.PubMedCrossRefPubMedCentralGoogle Scholar
  114. Schaefer M, Rotte M. Combining a semantic differential with fMRI to investigate brands as cultural symbols. Soc Cogn Affect Neurosci. 2010;5(2-3):274–81.PubMedPubMedCentralCrossRefGoogle Scholar
  115. Schaefer M, Berens H, Heinze HJ, Rotte M. Neural correlates of culturally familiar brands of car manufacturers. NeuroImage. 2006;31(2):861–5.PubMedCrossRefPubMedCentralGoogle Scholar
  116. Schultz W, Dayan P, Montague PR. A neural substrate of prediction and reward. Science. 1997;275(5306):1593–9.PubMedCrossRefPubMedCentralGoogle Scholar
  117. Seixas D, Bast MA. Ethics in fMRI studies. Clin Neuroradiol. 2008;18(2):79–87.CrossRefGoogle Scholar
  118. Shamoo AE. Ethical and regulatory challenges in psychophysiology and neuroscience-based technology for determining behavior. Account Res. 2010;17:8–29.PubMedCrossRefPubMedCentralGoogle Scholar
  119. Shamoo AE, Resnik DB. Responsible conduct of research. 2nd ed. New York: Oxford University Press; 2009.CrossRefGoogle Scholar
  120. Shamoo AE, Schwartz J. Universal and uniform protections of human subjects in research. Am J Bioeth. 2007;7:7–9.PubMedCrossRefPubMedCentralGoogle Scholar
  121. Shiv B, Fedorikhin A. Heart and mind in conflict: the interplay of affect and cognition in consumer decision making. J Consum Res. 1999;26:278–92.CrossRefGoogle Scholar
  122. Shiv B, Bechara A, Levin I, Alba JW, Bettman JR, Dube L, Isen A, Mellers B, Smidts A, Grant SJ, McGraw AP. Decision neuroscience. Mark Lett. 2005;16(3/4):375–86.CrossRefGoogle Scholar
  123. Stephan KE, Penny WD, Marshall JC, Fink GR, Friston KJ. Investigating the functional role of callosal connections with dynamic causal models. Ann N Y Acad Sci. 2005;1064:16–36.PubMedPubMedCentralCrossRefGoogle Scholar
  124. Stephan KE, Kasper L, Harrison LM, Daunizeau J, den Ouden HE, Breakspear M, Friston KJ. Nonlinear dynamic causal models for fMRI. NeuroImage. 2008;42(2):649–62.PubMedPubMedCentralCrossRefGoogle Scholar
  125. Stephan KE, Penny WD, Moran RJ, den Ouden HE, Daunizeau J, Friston KJ. Ten simple rules for dynamic causal modeling. NeuroImage. 2010;49(4):3099–109.PubMedPubMedCentralCrossRefGoogle Scholar
  126. Stoll M, Baecke S, Kenning P. What they see is what they get? An fMRI-study on neural correlates of attractive packaging. J Consum Behav. 2008;7(4-5):342–59.CrossRefGoogle Scholar
  127. Strack F, Deutsch R. Reflective and impulsive determinants of social behavior. Personal Soc Psychol Rev. 2004;8(3):220–47.CrossRefGoogle Scholar
  128. Strack F, Werth L, Deutsch R. Reflective and impulsive determinants of consumer behavior. J Consum Psychol. 2006;16(3):205–16.CrossRefGoogle Scholar
  129. Turner DC, Sahakian BJ. Ethical questions in functional neuroimaging and cognitive enhancement. Poiesis Prax. 2006;4(2):81–94.CrossRefGoogle Scholar
  130. Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science. 1981;211(4481):453–8.PubMedCrossRefPubMedCentralGoogle Scholar
  131. Ulman YI, Cakar T, Yildiz G. Ethical issues in neuromarketing: “I consume, therefore I am!”. Sci Eng Ethics. 2015;21(5):1271–84.PubMedCrossRefPubMedCentralGoogle Scholar
  132. Venkatraman V, Dimoka A, Pavlou PA, Vo K, Hampton W, Bollinger B, Hershfield HE, Ishihara M, Winer RS. Predicting advertising success beyond traditional measures: new insights from neurophysiological methods and market response modeling. J Mark Res. 2015;52(4):436–52.CrossRefGoogle Scholar
  133. Verhoef PC, Kannan PK, Inman JJ. From multi-channel retailing to omni-channel retailing: introduction to the special issue on multi-channel retailing. J Retail. 2015;91(2):174–81.CrossRefGoogle Scholar
  134. Wager TD, Phan KL, Liberzon I, Taylor SF. Valence, gender, and lateralization of functional brain anatomy in emotion: a meta-analysis of findings from neuroimaging. NeuroImage. 2003;19(3):513–31.PubMedCrossRefPubMedCentralGoogle Scholar
  135. Walsh V, Cowey A. Transcranial magnetic stimulation and cognitive neuroscience. Nat Rev Neurosci. 2000;1:73–9.PubMedCrossRefPubMedCentralGoogle Scholar
  136. Wassermann EM. Risk and safety of transcranial magnetic stimulation: report and suggested guidelines from the international workshop on the safety of repetitive transcranial magnetic stimulation. Electroencephalogr Clin Neurophysiol. 1998;108:1–16.PubMedCrossRefPubMedCentralGoogle Scholar
  137. Wilson RM, Gaines J, Hill RP. Neuromarketing and consumer free will. J Consum Aff. 2008;42:389–410.CrossRefGoogle Scholar
  138. Yoon C, Gutchess AH, Feinberg F, Polk TA. A functional magnetic resonance imaging study of neural dissociations between brand and person judgements. J Consum Res. 2006;33:31–40.CrossRefGoogle Scholar
  139. Yoon C, Gonzalez R, Bechara A, Berns GS, Dagher AA, Dubé L, Huettel SA, Kable JW, Liberzon I, Plassman H, Smidts A, Spence C. Decision neuroscience and consumer decision making. Mark Lett. 2012;23(2):473–85.CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Management, MAPP Centre, Aarhus BSSAarhus UniversityAarhusDenmark

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