Asia Marketing Journal

  • 제25권3호
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  • Pages.111-125
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  • 2023
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  • 1598-7868(pISSN)
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  • 2765-6500(eISSN)
한국마케팅학회 (Korean Marketing Association)
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Updated Reviews and Trends in Consumer Neuroscience

  • Jin Ho Yun (SKK Business School, Sungkyunkwan University (SKKU))
  • 투고 : 2023.06.08
  • 심사 : 2023.08.16
  • 발행 : 2023.10.31
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초록

Consumer neuroscience methods have become prevalent in marketing research. Despite their proven significance, very little marketing research has addressed their applications in Asia. Thus, this review aims to introduce practical integrations with consumer neuroscience and marketing research and how they can be carefully applied to these fields, with some identified caveats. Specifically, I review the recent literature from top marketing and science journals to (1) highlight substantial applications of updated neuroscientific methods to marketing research and neuroforecasting approaches, (2) discuss the additional potential of computational models in these applications, and (3) offer a simple framework that adopts a multi-method approach intended to enhance both the external and ecological validity of neuroscientific findings. Along with the need for embracing scientific rigor and marketing theory, more guidelines are also needed to improve the validity issues of neuroimaging uses and highlight practical directions in the nascent field of consumer neuroscience.

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과제정보

This work was supported by the Postdoctoral Research Program of Sungkyunkwan University (2022).

참고문헌

  1. Ariely, Dan and Gregory S. Berns (2010), "Neuromarketing: The Hope and Hype of Neuroimaging in Business," Nature Reviewse Neuroscience, 11 (4), 284-292. https://doi.org/10.1038/nrn2795
  2. Atlas, Lauren Y., Niall Bolger, Martin A. Lindquist, and Tor D. Wager (2010), "Brain Mediators of Predictive Cue Effects on Perceived Pain," Journal of Neuroscience, 30 (39), 12964-12977. https://doi.org/10.1523/JNEUROSCI.0057-10.2010
  3. Bae, Gi-Yeul and Steven J. Luck (2019), "Decoding Motion Direction Using the Topography of Sustained ERPs and Alpha Oscillations," NeuroImage, 184, 242-255. https://doi.org/10.1016/j.neuroimage.2018.09.029
  4. Barnett, Samuel B. and Moran Cerf (2017), "A Ticket for Your Thoughts: Method for Predicting Content Recall and Sales Using Neural Similarity of Moviegoers," Journal of Consumer Research, 44 (1), 160-181. https://doi.org/10.1093/jcr/ucw083
  5. Beard, Elizabeth, Nicole M. Henninger, and Vinod Venkatraman (2022), "Making Ads Stick: Role of Metaphors in Improving Advertising Memory," Journal of Advertising, 1-18.
  6. Berns, Gregory S. and Sara E. Moore (2012), "A Neural Predictor of Cultural Popularity," Journal of Consumer Psychology, 22 (1), 154-160. https://doi.org/10.1016/j.jcps.2011.05.001
  7. Berret, Emmanuelle, Michael Kintscher, Shriya Palchaudhuri, Wei Tang, Denys Osypenko, Olexiy Kochubey, and Ralf Schneggenburger (2019), "Insular Cortex Processes Aversive Somatosensory Information and is Crucial for Threat Learning," Science, 364 (6443), eaaw0474.
  8. Boksem, Maarten A. S. and Ale Smidts (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. https://doi.org/10.1509/jmr.13.0572
  9. Cao, C. Clark and Martin Reimann (2020), "Data Triangulation in Consumer Neuroscience: Integrating Functional NeuroimagingWith Meta-Analyses, Psychometrics, and Behavioral Data," Frontiers in Psychology, 11, 550204.
  10. Chan, Hang Yee, Maarten Boksem, and Ale Smidts (2018), "Neural Profiling of Brands: Mapping Brand Image in Consumers' Brains with Visual Templates," Journal of Marketing Research, 55 (4), 600-615. https://doi.org/10.1509/jmr.17.0019
  11. Chen, Yu-Ping, Leif D. Nelson, and Ming Hsu (2015), "From 'Where' to 'What': Distributed Representations of Brand Associations in the Human Brain," Journal of Marketing Research, 52 (4), 453-466. https://doi.org/10.1509/jmr.14.0606
  12. Craig, Adam W., Yuliya Komarova Loureiro, Stacy Wood, and Jennifer M. C. Vendemia (2012), "Suspicious Minds: Exploring Neural Processes During Exposure to Deceptive Advertising," Journal of Marketing Research, 49 (3), 361-372. https://doi.org/10.1509/jmr.09.0007
  13. D'Ambrogio, Simone, Noah Werksman, Michael L. Platt, and Elizabeth N. Johnson (2023), "How Celebrity Status and Gaze Direction in ads Drive Visual Attention to Shape Consumer Decisions," Psychology & Marketing, 40 (4), 723-734. https://doi.org/10.1002/mar.21772
  14. Dietvorst, Roeland C., Willem J. M. I. Verbeke, Richard P. Bagozzi, Carolyn Yoon, Marion Smits, and Aad Van Der Lugt (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, XLVI, 653-668. https://doi.org/10.1509/jmkr.46.5.653
  15. Ernst, Jutta, Georg Northoff, Heinz Boker, Erich Seifritz, and Simone Grimm (2013), "Interoceptive Awareness Enhances Neural Activity During Empathy," Human Brain Mapping, 34 (7), 1615-1624. https://doi.org/10.1002/hbm.22014
  16. Falk, Emily B., Elliot T. Berkman, and Matthew D. Lieberman (2012), "From Neural Responses to Population Behavior: Neural Focus Group Predicts Population-Level Media Effects," Psychological Science, 23 (5), 439-445. https://doi.org/10.1177/0956797611434964
  17. Financial Times (2018), "How Brain Science Found Its Way into Business School," by Seb Murray, available at: https://www.ft.com/content/623f049a-1269-11e8-a765-993b2440bd73
  18. Fisher, Geoffrey (2021), "A Multiattribute Attentional Drift Diffusion Model," Organizational Behavior and Human Decision Processes, 165, 167-182. https://doi.org/10.1016/j.obhdp.2021.04.004
  19. Genevsky, Alex, Lester Tong, and Brian Knutson (2021), "Generalizability of Brain Activity in Forecasting Market Choice," Unpublished Work, Rotterdam School of Management, Erasmus University.
  20. Genevsky, Alexander and Carolyn Yoon (2021), "Neural Basis of Consumer Decision Making and Neuroforecasting," in APA Handbook of Consumer Psychology, Chapter 621.
  21. Genevsky, Alexander, Carolyn Yoon, and Brian Knutson (2017), "When Brain Beats Behavior: Neuroforecasting Crowdfunding Outcomes," Journal of Neuroscience, 37 (36), 8625-8634. https://doi.org/10.1523/JNEUROSCI.1633-16.2017
  22. Glimcher, Paul W. (2022), "Efficiently Irrational: Deciphering the Riddle of Human Choice," Trends in Cognitive Sciences, 26 (8), 669-687. https://doi.org/10.1016/j.tics.2022.04.007
  23. Guest, Olivia and Andrea E. Martin (2021), "How Computational Modeling Can Force Theory Building in Psychological Science," Perspectives on Psychological Science, 16 (4), 789-802. https://doi.org/10.1177/1745691620970585
  24. Haxby, JamesV. (2012), "Multivariate Pattern Analysis of fMRI: The Early Beginnings," Neuroimage, 62 (2), 852-855. https://doi.org/10.1016/j.neuroimage.2012.03.016
  25. Haxby, James V., Andrew C. Connolly, and J. Swaroop Guntupalli (2014), "Decoding Neural Representational Spaces Using Multivariate Pattern Analysis," Annual Review of Neuroscience, 37, 435-456. https://doi.org/10.1146/annurev-neuro-062012-170325
  26. Hedgcock,William and Akshay R. Rao (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. https://doi.org/10.1509/jmkr.46.1.1
  27. Kable, JosephW. and PaulW. Glimcher (2009), "The Neurobiology of Decision: Consensus and Controversy," Neuron, 63 (6), 733-745. https://doi.org/10.1016/j.neuron.2009.09.003
  28. Kahneman, Daniel and Amos Tversky (1979), "Prospect Theory:An Analysis of Decision Under Risk," Econometrica, 47 (2), 263-292. https://doi.org/10.2307/1914185
  29. Karmarkar, Uma R., Baba Shiv, and Brian Knutson (2015), "Cost Conscious? The Neural and Behavioral Impact of Price Primacy on Decision Making," Journal of Marketing Research, 52 (4), 467-481. https://doi.org/10.1509/jmr.13.0488
  30. Knutson, Brian and Alexander Genevsky (2018), "Neuroforecasting Aggregate Choice," Current Directions in Psychological Science, 27 (2), 110-115. https://doi.org/10.1177/0963721417737877
  31. Knutson, Brian, Scott Rick, G. Elliott Wimmer, Drazen Prelec, and George Loewenstein (2007), "Neural Predictors of Purchases," Neuron, 53 (1), 147-156. https://doi.org/10.1016/j.neuron.2006.11.010
  32. Koban, Leonie, Sangil Lee, Daniela S. Schelski, Marie-Christine Simon, Caryn Lerman, Bernd Weber, Joseph W. Kable, Hilke Plassmann, A. Simonetti, M. Boerth, J. Tholen, A.-A. Ortner, A. Koehlmoos, S. Winkler, L. Bernardo, A. M. Burke, M. K. Caulfield, N. Cooper, G. Donnay, M. Falcone, J. Jorgensen, R. Kazinka, J. Luery, M. Mcconnell, R. Miglin, D. Mukherjee, T. Parthasarathi, S. Price, M. Schlussel, R. Sharp, H. J. Sohn, and D. Spence (2023), "An fMRI-Based Brain Marker of Individual Differences in Delay Discounting," The Journal of Neuroscience, 43 (9), 1600-1613. https://doi.org/10.1523/JNEUROSCI.1343-22.2022
  33. Krajbich, Ian (2019), "Accounting for Attention in Sequential Sampling Models of Decision Making," Current Opinion in Psychology, 29, 6-11. https://doi.org/10.1016/j.copsyc.2018.10.008
  34. Krajbich, Ian, Carrie Armel, and Antonio Rangel (2010), "Visual Fixations and the Computation and Comparison of Value in Simple Choice," Nature Neuroscience, 13 (10), 1292-1298. https://doi.org/10.1038/nn.2635
  35. Laghaie, Arash and Thomas Otter (2023), "Express: Measuring Evidence for Mediation in the Presence of Measurement Error," Journal of Marketing Research, 00222437231151873.
  36. Laurent, Gilles and Marc Vanhuele (2023), "How Do Consumers Read and Encode a Price?," Journal of Consumer Research, ucad005, https://doi.org/10.1093/jcr/ucad005.
  37. Lee, Eun-Ju, Dong Hyun Kim, and Han Ah Choi (2017), "Putting Faces to Sustainability Marketing - An fMRI Investigation of Affective Persuasion," Korean Journal of Marketing, 32 (4), 43-56. https://doi.org/10.15830/kmr.2017.32.4.43
  38. Lee, Sangil, Trishala Parthasarathi, Nicole Cooper, Gal Zauberman, Caryn Lerman, and Joseph W. Kable (2022), "A Neural Signature of the Vividness of Prospective Thought is Modulated by Temporal Proximity During Intertemporal Decision Making," Proceedings of the National Academy of Sciences of the United States of America, 119 (44), e2214072119.
  39. Levy, Ifat, Stephanie C. Lazzaro, Robb B. Rutledge, and Paul W. Glimcher (2011), "Choice from Non-Choice: Predicting Consumer Preferences from Blood Oxygenation Level-Dependent Signals Obtained During Passive Viewing," Journal of Neuroscience, 31 (1), 118-125. https://doi.org/10.1523/JNEUROSCI.3214-10.2011
  40. Li, Yun, Tingting Zhang, Wenjuan Li, Junjun Zhang, Zhenlan Jin, and Ling Li (2020), "Linking Brain Structure and Activation in Anterior Insula Cortex to Explain the Trait Empathy for Pain," Human Brain Mapping, 41 (4), 1030-1042. https://doi.org/10.1002/hbm.24858
  41. Ling, Aiqing, Nathalie George, Baba Shiv, and Hilke Plassmann (2023), "Altering Experienced Utility by Incidental Affect: The Interplay of Valence and Arousal in Incidental Affect Infusion Processes," Emotion, https://psycnet.apa.org/fulltext/2023-67178-001.html.
  42. Madsen, Jens, Sara U. Julio, Pawel J. Gucik, Richard Steinberg, and Lucas C. Parra (2021), "Synchronized Eye Movements Predict Test Scores in Online Video Education," Proceedings of the National Academy of Sciences of the United States of America, 118 (5), e2016980118.
  43. Malter, Maayan S., Morris B. Holbrook, Barbara E. Kahn, Jeffrey R. Parker, and Donald R. Lehmann (2020), "The Past, Present, and Future of Consumer Research," Marketing Letters, 31 (2-3), 137-149. https://doi.org/10.1007/s11002-020-09526-8
  44. Martinovici, Ana, Rik Pieters, and Tulin Erdem (2023), "Attention Trajectories Capture Utility Accumulation and Predict Brand Choice-Nizes the Potential Insights from Eye-Movement Research for," Journal of Marketing Research, 60 (4), 625-645. https://doi.org/10.1177/00222437221141052
  45. McClure, Samuel M., Jian Li, Damon Tomlin, Kim S. Cypert, Latane M. Montague, and P. Read Montague (2004), "Neural Correlates of Behavioral Preference for Culturally Familiar Drinks," Neuron, 44 (2), 379-387. https://doi.org/10.1016/j.neuron.2004.09.019
  46. Mormann, Milica, Luke Nowlan, and Uzma Kahn (2016), "(Emotional) Reference Point Formation," Working Paper, University of Miami, Coral Gables, FL 33146.
  47. Mrkva, Kellen, Eric J. Johnson, Simon Gachter, and Andreas Herrmann (2020), "Moderating Loss Aversion: Loss Aversion Has Moderators, But Reports of its Death are Greatly Exaggerated," Journal of Consumer Psychology, 30 (3), 407-428. https://doi.org/10.1002/jcpy.1156
  48. Mumford, Jeanette A., Tyler Davis, and Russell A. Poldrack (2014), "The Impact of Study Design on Pattern Estimation for Single-Trial Multivariate Pattern Analysis," NeuroImage, 103, 130-138. https://doi.org/10.1016/j.neuroimage.2014.09.026
  49. Novemsky, Nathan and Daniel Kahneman (2005), "The Boundaries of Loss Aversion," Journal of Marketing Research, 42 (2), 119-128. https://doi.org/10.1509/jmkr.42.2.119.62292
  50. Plassmann, Hilke and BerndWeber (2015), "Individual Differences in Marketing Placebo Effects: Evidence from Brain Imaging and Behavioral Experiments," Journal of Marketing Research, 52 (4), 493-510. https://doi.org/10.1509/jmr.13.0613
  51. Plassmann, Hilke and Milica Mormann (2017), "An Interdisciplinary Lens on Consciousness: The Consciousness Continuum and How to (Not) Study it in the Brain and the Gut, ACommentary on Williams and Poehlman," Journal of Consumer Research, 44 (2), 258-265. https://doi.org/10.1093/jcr/ucx043
  52. Plassmann, Hilke, John O'Doherty, Baba Shiv, and Antonio Rangel (2008), "Marketing Actions Can Modulate Neural Representations of Experienced Pleasantness," Proceedings of the National Academy of Sciences, 105 (3), 1050-1054. https://doi.org/10.1073/pnas.0706929105
  53. Plassmann, Hilke, Vinod Venkatraman, Scott Huettel, and Carolyn Yoon (2015), "Consumer Neuroscience: Applications, Challenges, and Possible Solutions," Journal of Marketing Research, 52 (4), 427-435. https://doi.org/10.1509/jmr.14.0048
  54. Ratcliff, Roger and Gail McKoon (2008), "The Diffusion Decision Model: Theory and Data for Two-Choice Decision Tasks," Neural Computation, 20 (4), 873-922. https://doi.org/10.1162/neco.2008.12-06-420
  55. Reimann, Martin, Raquel Castano, Judith Zaichkowsky, and Antoine Bechara (2012), "HowWe Relate to Brands: Psychological and Neurophysiological Insights into Consumer-Brand Relationships," Journal of Consumer Psychology, 22 (1), 128-142. https://doi.org/10.1016/j.jcps.2011.11.003
  56. Reimann, Martin, Judith Zaichkowsky, Carolin Neuhaus, T. Bender, and Bernd Weber (2010), "Aesthetic Package Design: A Behavioral, Neural, and Psychological Investigation," Journal of Consumer Psychology, 20 (4), 431-441. https://doi.org/10.1016/j.jcps.2010.06.009
  57. Rick, Scott (2011), "Losses, Gains, and Brains: Neuroeconomics Can Help to Answer Open Questions About Loss Aversion," Journal of Consumer Psychology, 21 (4), 453-463. https://doi.org/10.1016/j.jcps.2010.04.004
  58. Roshchupkina, Olga, Olga Kim, and Eun-Ju Lee (2023), "Rules of Attraction: Females Perception of Male Self-Representation in a Dating App," Asia Marketing Journal, 24 (4), 169-177. https://doi.org/10.53728/2765-6500.1597
  59. Salo, Taylor, Tal Yarkoni, Thomas E. Nichols, Jean-Baptiste Poline, Murat Bilgel, Katherine L. Bottenhorn, Dorota Jarecka, James D. Kent, Adam Kimbler, Dylan M. Nielson, Kendra M. Oudyk, Julio A. Peraza, Alexandre Perez, Puck C. Reeders, Julio A. Yanes, and Angela R. Laird (2022), "NiMARE: Neuroimaging Meta-Analysis Research Environment," NeuroLibre Reproducible Preprint Server, 1 (1), 7.
  60. Shaw, Steven D. and Richard P. Bagozzi (2018), "The Neuropsychology of Consumer Behavior and Marketing," Consumer Psychology Review, 1 (1), 22-40. https://doi.org/10.1002/arcp.1006
  61. Sheng, Feng, Arjun Ramakrishnan, Darsol Seok,Wenjia Joyce Zhao, Samuel Thelaus, Puti Cen, and Michael Louis Platt (2020), "Decomposing Loss Aversion from Gaze Allocation and Pupil Dilation," Proceedings of the National Academy of Sciences, 117 (21), 11356-11363. https://doi.org/10.1073/pnas.1919670117
  62. Speelman, Craig P. and Marek McGann (2013), "How Mean is the Mean?," Frontiers in Psychology, 4 (JUL), 451.
  63. Speer, Sebastian P. H., Ale Smidts, and Maarten A. S. Boksem (2021), "Cognitive Control Promotes Either Honesty or Dishonesty, Depending on One's Moral Default," Journal of Neuroscience, JN-RM-0666-21.
  64. Stallen, Mirre, Nicholas Borg, and Brian Knutson (2021), "Brain Activity Foreshadows Stock Price Dynamics," Journal of Neuroscience, 41 (14), 3266-3274. https://doi.org/10.1523/JNEUROSCI.1727-20.2021
  65. Stangl, Matthias, Sabrina L. Maoz, and Nanthia Suthana (2023), "Mobile Cognition: Imaging the Human Brain in the 'Real World'," Nature Reviews Neuroscience, 2023, 1-16.
  66. Tiemann, Laura, Vanessa D. Hohn, Son Ta Dinh, Elisabeth S. May, Moritz M. Nickel, Joachim Gross, and Markus Ploner (2018), "Distinct Patterns of Brain Activity Mediate Perceptual and Motor and Autonomic Responses to Noxious Stimuli," Nature Communications, 9 (1), 1-12. https://doi.org/10.1038/s41467-018-06875-x
  67. Tong, Lester C., M. Yavuz Acikalin, Alexander Genevsky, Baba Shiv, and Brian Knutson (2020), "Brain Activity Forecasts Video Engagement in an Internet Attention Market," Proceedings of the National Academy of Sciences, 117 (12), 6936-6941. https://doi.org/10.1073/pnas.1905178117
  68. Varga, Marton, Anita Tusche, Paulo Albuquerque, Nadine Gier, Bernd Weber, and Hilke Plassmann (2021), "Predicting Sales of New Consumer Packaged Products with fMRI, Behavioral, Survey and Market Data," Marketing Science Institute Working Paper Series, (accessed November 7, 2022), [available at https://www.msi.org/working-papers/predicting-sales-ofnew-consumer-packaged-products-with-fmri-behavioralsurvey-and-market-data/].
  69. Venkatraman, Vinod, Angelika Dimoka, Paul A. Pavlou, Khoi Vo, William Hampton, Bryan Bollinger, Hal E. Hershfield, Masakazu Ishihara, and Russell S. Winer (2015), "Predicting Advertising Success Beyond Traditional Measures: New Insights from Neurophysiological Methods and Market Response Modeling," Journal of Marketing Research, 52 (4), 436-452. https://doi.org/10.1509/jmr.13.0593
  70. Venkatraman, Vinod, Angelika Dimoka, Khoi Vo, and Paul A. Pavlou (2021), "Relative Effectiveness of Print and Digital Advertising: AMemory Perspective," Journal of Marketing Research, 58 (5), 827-844. https://doi.org/10.1177/00222437211034438
  71. Wagner, Dylan D., Robert S. Chavez, and Timothy W. Broom (2019), "Decoding the Neural Representation of Self and Person Knowledge with Multivariate Pattern Analysis and Data-Driven Approaches," Wiley Interdisciplinary Reviews: Cognitive Science, 10 (1), e1482.
  72. Wang, Chen, Rui (Juliet) Zhu, and Todd C. Handy (2016), "Experiencing Haptic Roughness Promotes Empathy," Journal of Consumer Psychology, 26 (3), 350-362. https://doi.org/10.1016/j.jcps.2015.11.001
  73. Warren, Caleb and Martin Reimann (2019), "Crazy-Funny-Cool Theory: Divergent Reactions to Unusual Product Designs," Journal of the Association for Consumer Research, 4 (4), 409-421. https://doi.org/10.1086/705036
  74. Wiggin, Kyra L., Martin Reimann, and Shailendra P. Jain (2018), "Curiosity Tempts Indulgence," Journal of Consumer Research, 45 (6), 1194-1212. https://doi.org/10.1093/jcr/ucy055
  75. Yang, Seungeun, Eun-Ju Lee, Seung-Ho Paik, and Beop-Min Kim (2015), "The 'Psy' Effect: Neuro-Vascular Responses to Psy's YouTube Videos," Korean Journal of Marketing, 30 (2), 75.
  76. Yarkoni, Tal, Russell A. Poldrack, Thomas E. Nichols, David C. Van Essen, and Tor D. Wager (2011), "Large-Scale Automated Synthesis of Human Functional Neuroimaging Data," Nature Methods, 8 (8), 665-670. https://doi.org/10.1038/nmeth.1635
  77. Yoon, Carolyn, Angela H. Gutchess, Fred Feinberg, and Thad A. Polk (2006), "A Functional Magnetic Resonance Imaging Study of Neural Dissociations Between Brand and Person Judgments," Journal of Consumer Research, 33 (1), 31-40. https://doi.org/10.1086/504132
  78. Zhang, Zhihao, Maxwell Good, Vera Kulikov, Femke van Horen, Mark Bartholomew, Andrew S. Kayser, and Ming Hsu (2023), "From Scanner to Court: A Neuroscientifically Informed 'Reasonable Person' Test of Trademark Infringement," Science Advances, 9 (6), eabo1095.