Investigating Types of Advertising Appeals and Cognitive and Emotional Processes of Sport Consumers in Neuromarketing: A Systematic Review

Document Type : Original Article

Authors

1 Master student in marketing management in sport, Department of Physical Education, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.

2 Department of Sport Sciences, Tarbiat Modares University, Tehran, Iran.

3 Assistant professor, Department of Psychology, Faculty of Humanities, Tarbiat Modares University, Tehran, Iran.

Abstract

Advertising costs billions for many industries, including the sports industry, but many fail to accomplish their goals for various reasons. Poor advertising is caused by ignorance of the customer's needs. Neuromarketing made companies more aware of their clients and target market and examines unconscious responses to commercials and products, unlike traditional marketing. Knowing these factors helps companies build ads more accurately and cheaply. This research aims to conduct a systematic analysis of valid experimental tests in the field of neuromarketing. Specifically, we will focus on studies that utilize electroencephalogram and eye tracker to investigate advertising appeals and the cognitive and emotional processes of consumers. The objective is to analyze the data from these papers. To conduct an analysis, we will examine the number of publications per year, the publishers involved, the keywords employed, the methods utilized, the gender of participants, the issue of advertising stimulation, the style of advertising attractiveness, and the emotional and cognitive processes included. Our literature review was based on the Boland method (2017). A keyword search yielded 171 publications, which we refined using the Prisma standard guide (2009). This identified 43 English Scopus empirical studies from 2008 to 2023, which we categorized and sorted. Although the sports industry has smaller turnover than others, it can provoke powerful emotions and attract many people. Due to the specific nature of sports, emotive ads work better than others. According to the findings, the use of the eye tracking system is expanding. Among the cognitive and emotional processes, it was found that attention is used more than other processes.

Keywords

Main Subjects


Agarwal, S., & Xavier, M. (2015). Innovations in consumer science: applications of neuro-scientific research tools. In Adoption of Innovation: Balancing Internal and External Stakeholders in the Marketing of Innovation (pp. 25-42). Springer. https://doi.org/10.1007/978-3-319-14523-5_3
Aguiló-Lemoine, À. E., Rejón-Guardia, F., & García-Sastre, M. A. (2020). Congruence effects on the effectiveness of sponsorship of sport event websites: an experimental approach. Sustainability, 12(19), 8173. https://doi.org/10.3390/su12198173
Akbari, M. (2015). Different impacts of advertising appeals on advertising attitude for high and low involvement products. Global Business Review, 16(3), 478-493. https://doi.org/10.1177/0972150915569936
Albers Miller, N. D., & Stafford, M. R. (1999). An international analysis of emotional and rational appeals in services vs goods advertising. Journal of consumer marketing, 16(1), 42-57. https://doi.org/10.1108/07363769910250769
Aldayel, M., Ykhlef, M., & Al-Nafjan, A. (2020). Deep learning for EEG-based preference classification in neuromarketing. Applied Sciences, 10(4), 1525. https://doi.org/10.3390/app10041525
Alonso Dos Santos, M., & Calabuig Moreno, F. (2018). Assessing the effectiveness of sponsorship messaging: Measuring the impact of congruence through electroencephalogram. International Journal of Sports Marketing and Sponsorship, 19(1), 25-40. https://doi.org/10.1108/IJSMS-09-2016-0067
Alonso Dos Santos, M., Lobos, C., Muñoz, N., Romero, D., & Sanhueza, R. (2017). The influence of image valence on the attention paid to charity advertising. Journal of Nonprofit & Public Sector Marketing, 29(3), 346-363. https://doi.org/10.1080/10495142.2017.1326355
Alsharif, A. H., Salleh, N. Z. M., Al-Zahrani, S. A., & Khraiwish, A. (2022). Consumer behaviour to be considered in advertising: A systematic analysis and future agenda. Behavioral Sciences, 12(12), 472. https://doi.org/10.3390/bs12120472
Alsharif, A. H., Salleh, N. Z. M., & Baharun, R. (2021). Neuromarketing: The popularity of the brain-imaging and physiological tools. Neuroscience Research Notes, 3(5), 13-22. https://doi.org/10.31117/neuroscirn.v3i5.80
Alvino, L., Pavone, L., Abhishta, A., & Robben, H. (2020). Picking your brains: Where and how neuroscience tools can enhance marketing research. Frontiers in neuroscience, 14, 577666. https://doi.org/10.3389/fnins.2020.577666
Aminiroshan, Z., Azimzadeh, S. M., Talebpour, M., & Ghoshuni, M. (2021). The effect of sport events environments on audience attention to advertising using brain activity. Annals of Applied Sport Science, 9(1), 0-0. https://doi.org/10.29252/aassjournal.815
Astolfi, L., Fallani, F. D. V., Cincotti, F., Mattia, D., Bianchi, L., Marciani, M. G., Salinari, S., Colosimo, A., Tocci, A., & Soranzo, R. (2008). Neural basis for brain responses to TV commercials: a high-resolution EEG study. IEEE Transactions on neural systems and rehabilitation engineering, 16(6), 522-531. https://doi.org/10.1109/TNSRE.2008.2009784
Asyali, M. H., Gungor, E., Arslan, D. B., Korkmaz, S., & Yilmaz, B. (2014). Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies. https://doi.org/10.1016/j.cmpb.2013.11.010
Bakalash, T., & Riemer, H. (2013). Exploring ad-elicited emotional arousal and memory for the ad using fMRI. Journal of Advertising, 42(4), 275-291. https://doi.org/10.1080/00913367.2013.768065
Baldo, D., Viswanathan, V. S., Timpone, R. J., & Venkatraman, V. (2022). The heart, brain, and body of marketing: complementary roles of neurophysiological measures in tracking emotions, memory, and ad effectiveness. Psychology & Marketing, 39(10), 1979-1991. https://doi.org/10.1002/mar.21697
Behe, B. K., Campbell, B. L., Khachatryan, H., Hall, C. R., Dennis, J. H., Huddleston, P. T., & Fernandez, R. T. (2014). Incorporating eye tracking technology and conjoint analysis to better understand the green industry consumer. HortScience, 49(12), 1550-1557. https://doi.org/10.21273/HORTSCI.49.12.1550
Behnam, M., Godarzi, M., & Hamidi, M. (2015). The influence of advertising appeal on future intention and consumer’s attitude toward advertisement in sport service. Sport Management Studies, 7(30), 35-54. https://smrj.ssrc.ac.ir/article_445_en.html
Belch, G. E., & Belch, M. A. (2004). Advertising and promotion: An integrated marketing communications perspective 6th. New York: McGraw-Hil l. https://short-link.me/Z4Wz
Berčík, J., Horská, E., Gálová, J., & Margianti, E. S. (2016). Consumer neuroscience in practice: The impact of store atmosphere on consumer behavior. Periodica Polytechnica Social and Management Sciences, 24(2), 96-101. https://doi.org/10.3311/PPso.8715
Boccia, F., Malgeri Manzo, R., & Covino, D. (2019). Consumer behavior and corporate social responsibility: An evaluation by a choice experiment. Corporate Social Responsibility and Environmental Management, 26(1), 97-105. https://doi.org/10.1002/csr.1661
Boerman, S. C., Van Reijmersdal, E. A., & Neijens, P. C. (2015). Using eye tracking to understand the effects of brand placement disclosure types in television programs. Journal of Advertising, 44(3), 196-207. https://doi.org/10.1080/00913367.2014.967423
Boksem, M. A., & 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. https://doi.org/10.1509/jmr.13.0572
Boland, A., Dickson, R., & Cherry, G. (2017). Doing a systematic review: A student's guide. https://short-link.me/1255F
Borys, M., & Plechawska-Wójcik, M. (2017). Eye-tracking metrics in perception and visual attention research. EJMT, 3, 11-23. https://short-link.me/1256u
Bradley, M. M., Greenwald, M. K., Petry, M. C., & Lang, P. J. (1992). Remembering pictures: pleasure and arousal in memory. Journal of experimental psychology: Learning, Memory, and Cognition, 18(2), 379. https://doi.org/10.1037/0278-7393.18.2.379
Byrne, A., Bonfiglio, E., Rigby, C., & Edelstyn, N. (2022). A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research. Brain Informatics, 9(1), 27. https://doi.org/10.1186/s40708-022-00175-3
Casado-Aranda, L.-A., & Sanchez-Fernandez, J. (2022). Advances in neuroscience and marketing: analyzing tool possibilities and research opportunities. Spanish Journal of Marketing-ESIC, 26(1), 3-22. https://doi.org/10.1108/sjme-10-2021-0196
Chang, C. (2006). Cultural masculinity/femininity influences on advertising appeals. Journal of Advertising Research, 46(3), 315-323. https://doi.org/10.2501/S0021849906060296
Cheong, C., Pyun, D. Y., & Leng, H. K. (2019). Sponsorship and advertising in sport: a study of consumers’ attitude. European Sport Management Quarterly, 19(3), 287-311. https://doi.org/10.1080/16184742.2018.1517271
Ciceri, A., Russo, V., Songa, G., Gabrielli, G., & Clement, J. (2020). A neuroscientific method for assessing effectiveness of digital vs. Print ads: Using biometric techniques to measure cross-media ad experience and recall. Journal of Advertising Research, 60(1), 71-86. https://doi.org/10.2501/JAR-2019-015
Damasio, A. (1994). Descartes’ error. Avon Books. https://short-link.me/1259k
Damasio, A. (1999). The Feeling of What Happens: Body and Emotion in the Making of Consciousness. A Harvest Book. https://short-link.me/125rb
Danesh Sani, K., Safania, A. M., & Poursoltani, H. (2017). Identification and Prioritization of Factors Affecting Neuromarketing in Sport Based on Analytical Hierarchy Process (AHP) [Research --- Open Access, CC-BY-NC]. The Neuroscience Journal of Shefaye Khatam, 5(3), 35-43. https://doi.org/10.18869/acadpub.shefa.5.3.35
Davidson, R. (1984). Affect cognition and hemispheric specialization. Emotion, Cognition and Behavior, 320-365. https://short-link.me/Z53N
Demos, J. N. (2005). Getting started with neurofeedback. WW Norton & Company. https://psycnet.apa.org/record/2005-01050-000
Dos Santos, M. A., Moreno, F. C., & Franco, M. S. (2019). Congruence and placement in sponsorship: An eye-tracking application. Physiology & behavior, 200, 159-165. https://doi.org/10.1016/j.physbeh.2018.05.032
Eijlers, E., Boksem, M. A., & Smidts, A. (2020). Measuring neural arousal for advertisements and its relationship with advertising success. Frontiers in neuroscience, 14, 514113. https://doi.org/10.3389/fnins.2020.00736
Ercan, Ö., & Kabakçı, A. C. (2019). Subliminal advertising applications in sport: Neuromarketing. International Journal of Sport Culture and Science, 7(1), 41-50. https://short-link.me/125dB
Fahim, A., Iqbal, Y., Tabassum, M. F., Ullah, J. A., & Babar, F. (2021). Influence Of Sports Celebrities On Pakistani Television Advertisements: A Content Analysis. Webology (ISSN: 1735-188X), 18(6). https://short-link.me/125dZ
Falsarella, C. R. B. M., de Oliveira, J. H. C., & Giraldi, J. d. M. E. (2017). The Influence of celebrity endorsement on visual attention: An eye-tracking study in Brazil. Academy of Marketing Studies Journal, 21(1), 1-14. https://short-link.me/125eB
Fellows, L. K. (2004). The cognitive neuroscience of human decision making: a review and conceptual framework. Behavioral and cognitive neuroscience reviews, 3(3), 159-172. https://doi.org/10.1177/1534582304273251
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. https://doi.org/10.5296/jmr.v6i2.5446
Franco, S., Abreu, A. M., Biscaia, R., & Gama, S. (2021). Sports ingroup love does not make me like the sponsor’s beverage but gets me buying it. Plos one, 16(7), e0254940. https://doi.org/10.1371/journal.pone.0254940
Frank, B., & Mitsumoto, S. (2023). An extended source attractiveness model: the advertising effectiveness of distinct athlete endorser attractiveness types and its contextual variation. European Sport Management Quarterly, 23(4), 1091-1114. https://doi.org/10.1080/16184742.2021.1963302
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. https://doi.org/10.1108/07363760710834807
García-Madariaga, J., López, M.-F. B., Burgos, I. M., & Virto, N. R. (2019). Do isolated packaging variables influence consumers' attention and preferences? Physiology & behavior, 200, 96-103. https://doi.org/10.1016/j.physbeh.2018.04.030
Garczarek-Bąk, U., & Disterheft, A. (2018). EEG frontal asymmetry predicts product purchase differently for national brands and private labels. Journal of Neuroscience, Psychology, and Economics, 11(3), 182. https://doi.org/10.1037/npe0000094
Garczarek-Bąk, U., Szymkowiak, A., Gaczek, P., & Disterheft, A. (2021). A comparative analysis of neuromarketing methods for brand purchasing predictions among young adults. Journal of Brand Management, 28, 171-185. https://doi.org/10.1057/s41262-020-00221-7
Ghasemi Siani, M., Mohammadi, S., Soltan Hosseini, M., & Dickson, G. (2021). Comparing young adult responses to rational and emotional sports product advertisements: the moderating role of product type and gender. International Journal of Sports Marketing and Sponsorship, 22(4), 798-815. https://doi.org/10.1108/IJSMS-04-2020-0045
Gidlöf, K., Wallin, A., Dewhurst, R., & Holmqvist, K. (2013). Using eye tracking to trace a cognitive process: Gaze behaviour during decision making in a natural environment. Journal of eye movement research, 6(1). https://doi.org/10.16910/jemr.6.1.3
Golnar-Nik, P., Farashi, S., & Safari, M.-S. (2019). The application of EEG power for the prediction and interpretation of consumer decision-making: A neuromarketing study. Physiology & behavior, 207, 90-98. https://doi.org/10.1016/j.physbeh.2019.04.025
Gong, Y., Hou, W., Zhang, Q., & Tian, S. (2018). Discounts or gifts? Not just to save money: a study on neural mechanism from the perspective of fuzzy decision. Journal of Contemporary Marketing Science, 1(1), 53-75. https://doi.org/10.1108/JCMARS-08-2018-0009
Goto, N., Mushtaq, F., Shee, D., Lim, X. L., Mortazavi, M., Watabe, M., & Schaefer, A. (2017). Neural signals of selective attention are modulated by subjective preferences and buying decisions in a virtual shopping task. Biological psychology, 128, 11-20. https://doi.org/10.1016/j.biopsycho.2017.06.004
Grau, S. L., Roselli, G., & Taylor, C. R. (2007). Where's Tamika Catchings? A content analysis of female athlete endorsers in magazine advertisements. Journal of Current Issues & Research in Advertising, 29(1), 55-65. https://doi.org/10.1080/10641734.2007.10505208
Grigaliunaite, V., & Pileliene, L. (2016). Emotional or rational? The determination of the influence of advertising appeal on advertising effectiveness. Scientific Annals of Economics and Business, 63(3). https://doi.org/10.1515/saeb-2016-0130
Guo, F., Ding, Y., Liu, W., Liu, C., & Zhang, X. (2016). Can eye-tracking data be measured to assess product design?: Visual attention mechanism should be considered. International Journal of Industrial Ergonomics, 53, 229-235. https://doi.org/10.1016/j.ergon.2015.12.001
Guo, F., Ye, G., Duffy, V. G., Li, M., & Ding, Y. (2018). Applying eye tracking and electroencephalography to evaluate the effects of placement disclosures on brand responses. Journal of Consumer Behaviour, 17(6), 519-531. https://doi.org/10.1002/cb.1736
Hafez, M. (2019). Neuromarketing: a new avatar in branding and advertisement. Pac. Bus. Rev. Int, 12(4), 58-64. https://short-link.me/Z5c-
Han, S.-P., & Shavitt, S. (1994). Persuasion and culture: Advertising appeals in individualistic and collectivistic societies. Journal of experimental social psychology, 30(4), 326-350. https://doi.org/10.1006/jesp.1994.1016
Harris, J. M., Ciorciari, J., & Gountas, J. (2018). Consumer neuroscience for marketing researchers. Journal of consumer behaviour, 17(3), 239-252. https://doi.org/10.1002/cb.1710
Herculano-Houzel, S. (2012). The remarkable, yet not extraordinary, human brain as a scaled-up primate brain and its associated cost. Proceedings of the National Academy of Sciences, 109(supplement_1), 10661-10668. https://doi.org/10.1073/pnas.1201895109
Hernández-Méndez, J., & Muñoz-Leiva, F. (2015). What type of online advertising is most effective for eTourism 2.0? An eye tracking study based on the characteristics of tourists. Computers in human Behavior, 50, 618-625. https://doi.org/10.1016/j.chb.2015.03.017
Ho, H.-F. (2014). The effects of controlling visual attention to handbags for women in online shops: Evidence from eye movements. Computers in Human Behavior, 30, 146-152. https://doi.org/10.1016/j.chb.2013.08.006
Hubert, M., & Kenning, P. (2008). A current overview of consumer neuroscience. Journal of Consumer Behaviour: An International Research Review, 7(4‐5), 272-292. https://doi.org/10.1002/cb.251
Jang, W., Ko, Y. J., & Stepchenkova, S. (2014). The effects of message appeal on consumer attitude toward sporting events. International Journal of Sport Communication, 7(3), 337-356. https://doi.org/10.1123/IJSC.2014-0003
Jartarkar, M., Srivastava, K., & Baths, V. (2022). Using Event-Related Potentials (ERP) to identify the purchase intention of a consumer for familiar brands. Neuroscience Research Notes, 5(4), 163-163. https://doi.org/10.31117/neuroscirn.v5i4.163
Joaddan, K. (2024). Role of Emotional Appeals in International Advertising Campaigns in Cameroon. International Journal of Marketing Strategies, 6(1), 1-11. https://doi.org/10.47672/ijms.1831
Jovanović, P., Vlastelica, T., & Cicvarić-Kostić, S. (2016). Impact of advertising appeals on purchase intention. Management-časopis za teoriju i praksu menadžmenta, 21(81), 35-45. https://doi.org/10.7595/management.fon.2016.0025
Kaheh, S., Ramirez, M., Wong, J., & George, K. (2021). Neuromarketing using EEG Signals and Eye-tracking. 2021 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), https://doi.org/10.1109/CONECCT52877.2021.9622539
Kahneman, D. (2003). A Perspective on Judgment and Choice: Mapping Bounded Rationality. American Psychologist, 58(9), 697-720. https://doi.org/10.1037/0003-066X.58.9.697
Kahneman, D. (2011). Thinking Fast and Slow. Farrar, Straus and Giroux. https://doi.org/10.1007/s00362-013-0533-y
Karslake, J. S. (1940). The Purdue eye-camera: a practical apparatus for studying the attention value of advertisements. Journal of Applied Psychology, 24(4), 417. https://doi.org/10.1037/h0054171
Katirci, H. (2021). I Got My Eyes on You: Examination of Sports Celebrity Endorsement Effect on Viewer s Visual Attention. Jurnal The Messenger, 13(2), 120-132. https://doi.org/10.26623/themessenger.v13i2.2333
Kawasaki, M., & Yamaguchi, Y. (2012). Effects of subjective preference of colors on attention-related occipital theta oscillations. NeuroImage, 59(1), 808-814. https://doi.org/10.1016/j.neuroimage.2011.07.042
Keshari, P., & Jain, S. (2014). Consumer Response to Advertising Appeals: A Gender Based Study. Journal of Marketing & Communication, 9(3). https://doi.org/10.1177/0971890716637702
Khurana, V., Gahalawat, M., Kumar, P., Roy, P. P., Dogra, D. P., Scheme, E., & Soleymani, M. (2021). A survey on neuromarketing using EEG signals. IEEE Transactions on Cognitive and Developmental Systems, 13(4), 732-749. https://doi.org/10.1109/TCDS.2021.3065200
Khushaba, R. N., Wise, C., Kodagoda, S., Louviere, J., Kahn, B. E., & Townsend, C. (2013). Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking. Expert systems with applications, 40(9), 3803-3812. https://doi.org/10.1016/j.eswa.2012.12.095
Kim, Y., Yim, K., & Ko, Y. J. (2013). Consumer patriotism and response to patriotic advertising: comparison of international vs. national sport events. International Journal of Sports Marketing and Sponsorship, 14(3), 74-96. https://doi.org/10.1108/IJSMS-14-03-2013-B006
Knutson, B., Rick, S., Wimmer, G. E., Prelec, D., & Loewenstein, G. (2007). Neural predictors of purchases. Neuron, 53(1), 147-156. https://short-link.me/128WH
Kong, W., Zhang, X., Wang, L., Fan, Q., Dai, Y., & Miao, Y. (2019). Evaluation of product placement with attention on eye-tracking and EEG. Journal of Beijing Institute of Technology, 28(1), 42-50. https://short-link.me/Z89P
Kongmanon, J., & Petison, P. (2022). What do you see and what do you recall?: Using eye tracking to understand product placement. Cogent Business & Management, 9(1), 2120263. https://doi.org/10.1080/23311975.2022.2120263
Kunkel, T., Walker, M., & Hodge, C. M. (2019). The influence of advertising appeals on consumer perceptions of athlete endorser brand image. European Sport Management Quarterly, 19(3), 373-395. https://doi.org/10.1080/16184742.2018.1530688
Laeng, B., Mathisen, R., & Johnsen, J.-A. (2007). Why do blue-eyed men prefer women with the same eye color? Behavioral Ecology and Sociobiology, 61, 371-384. https://doi.org/10.1007/s00265-006-0266-1
Langleben, D. D., Loughead, J. W., Ruparel, K., Hakun, J. G., Busch-Winokur, S., Holloway, M. B., Strasser, A. A., Cappella, J. N., & Lerman, C. (2009). Reduced prefrontal and temporal processing and recall of high “sensation value” ads. Neuroimage, 46(1), 219-225. https://doi.org/10.1016/j.neuroimage.2008.12.062
Lee, S., & Heere, B. (2018). Exploring the relative effectiveness of emotional, rational, and combination advertising appeals on sport consumer behavior. Sport Marketing Quarterly, 27(2), 82-92. https://doi.org/10.32731/SMQ.272.062018.02
Lin, L.-Y. (2011). The impact of advertising appeals and advertising spokespersons on advertising attitudes and purchase intentions. African Journal of Business Management, 5(21), 8446-8457. https://doi.org/10.5897/AJBM11.925
Lin, M.-H. J., Cross, S. N., Jones, W. J., & Childers, T. L. (2018). Applying EEG in consumer neuroscience. European Journal of Marketing, 52(1/2), 66-91. https://doi.org/10.1108/EJM-12-2016-0805
McGaugh, J. L. (2000). Memory--a century of consolidation. Science, 287(5451), 248-251. https://doi.org/10.1126/science.287.5451.248
McGaugh, J. L., Cahill, L., & Roozendaal, B. (1996). Involvement of the amygdala in memory storage: interaction with other brain systems. Proceedings of the National Academy of Sciences, 93(24), 13508-13514. https://doi.org/10.1073/pnas.93.24.13508
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & PRISMA Group*, t. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264-269. https://doi.org/10.1371/journal.pmed.1000097
Moon, J., Kwon, Y., Park, J., & Yoon, W. C. (2019). Detecting user attention to video segments using interval EEG features. Expert Systems with Applications, 115, 578-592. https://doi.org/10.1016/j.eswa.2018.08.016
Moorman, M., Willemsen, L. M., Neijens, P. C., & Smit, E. G. (2012). Program-involvement effects on commercial attention and recall of successive and embedded advertising. Journal of Advertising, 41(2), 25-38. https://doi.org/10.2753/JOA0091-3367410202
Morey, A. C. (2017). Memory for positive and negative political TV ads: The role of partisanship and gamma power. Political Communication, 34(3), 404-423. https://doi.org/10.1080/10584609.2016.1266534
Morin, C. (2011). Neuromarketing: the new science of consumer behavior. Society, 48(2), 131-135. https://doi.org/10.1007/s12115-010-9408-1
Moya, I., García-Madariaga, J., & Blasco, M.-F. (2020). What can neuromarketing tell us about food packaging? Foods, 9(12), 1856. https://doi.org/10.3390/foods9121856
Muñoz-Leiva, F., Hernández-Méndez, J., & Gómez-Carmona, D. (2019). Measuring advertising effectiveness in Travel 2.0 websites through eye-tracking technology. Physiology & behavior, 200, 83-95. https://doi.org/10.1016/j.physbeh.2018.03.002
Murty, V. P., & Adcock, R. A. (2014). Enriched encoding: reward motivation organizes cortical networks for hippocampal detection of unexpected events. Cerebral Cortex, 24(8), 2160-2168. https://doi.org/10.1093/cercor/bht063
Myers, D., G, & DeWall, N., C. (2021). Psychology (13th ed.). Worth Publishers, Macmillan Learning, New York, 2021. https://short-link.me/128vq
Nixon, H. K. (1924). Attention and interest in advertising. https://short-link.me/128w8
Nyoni, T., & Bonga, W. G. (2017). Neuromarketing: No brain, no gain! Dynamic Research Journals' Journal of Economics and Finance (DRJ-JEF), 2(2), 17-29. https://short-link.me/128wA
Oboudi, B., Elahi, A., Akbari Yazdi, H., & Pyun, D. Y. (2023). Impacts of game attractiveness and color of message on sport viewers' attention to prosocial message: an eye-tracking study. Sport, Business and Management: An International Journal, 13(2), 213-227. https://doi.org/10.1108/SBM-11-2021-0143
Ohme, R., Matukin, M., & Pacula-Lesniak, B. (2011). Biometric measures for interactive advertising research. Journal of interactive advertising, 11(2), 60-72. https://doi.org/10.1080/15252019.2011.10722185
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. https://doi.org/10.1037/a0015462
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
Panda, T. K., Panda, T. K., & Mishra, K. (2013). Does Emotional Appeal Work in Advertising? The Rationality Behind Using Emotional Appeal to Create Favorable Brand Attitude. IUP Journal of Brand Management, 10(2). https://short-link.me/Z8k8
Pegoraro, A. L., Ayer, S. M., & O'Reilly, N. J. (2010). Consumer consumption and advertising through sport. American Behavioral Scientist, 53(10), 1454-1475. https://doi.org/10.1177/0002764210368079
Pelau, C., Nistoreanu, P., Lazar, L., & Badescu, R. (2022). Celebrity vs. Product: A Neuroscientific Approach to the Distractors in Food Advertising for Sustainable Marketing. Sustainability, 14(19), 12768. https://doi.org/10.3390/su141912768
Plassmann, H., Ambler, T., Braeutigam, S., & Kenning, P. (2007). What can advertisers learn from neuroscience? International Journal of Advertising, 26(2), 151-175. https://doi.org/10.1080/10803548.2007.11073005
Plassmann, H., Ramsøy, T. Z., & Milosavljevic, M. (2012). Branding the brain: A critical review and outlook. Journal of consumer psychology, 22(1), 18-36. https://doi.org/10.1016/j.jcps.2011.11.010
Pozharliev, R., Verbeke, W. J., & Bagozzi, R. P. (2017). Social consumer neuroscience: Neurophysiological measures of advertising effectiveness in a social context. Journal of Advertising, 46(3), 351-362. https://doi.org/10.1080/00913367.2017.1343162
Pradeep, A. K. (2010). The buying brain: Secrets for selling to the subconscious mind. John wiley & sons. https://short-link.me/128AU
Pyun DoYoung, P. D., & James, J. (2009). Enhancing advertising communications: developing a model of beliefs about advertising through sport. https://doi.org/10.1123/ijsc.2.1.1
Pyun, D. Y., & James, J. D. (2011). Attitude toward advertising through sport: A theoretical framework. Sport Management Review, 14(1), 33-41. https://doi.org/10.1016/j.smr.2009.12.002
Ramsøy, T. Z., Skov, M., Christensen, M. K., & Stahlhut, C. (2018). Frontal brain asymmetry and willingness to pay. Frontiers in neuroscience, 12, 138. https://doi.org/10.3389/fnins.2018.00138
Rawnaque, F. S., Rahman, K. M., Anwar, S. F., Vaidyanathan, R., Chau, T., Sarker, F., & Mamun, K. A. A. (2020). Technological advancements and opportunities in Neuromarketing: a systematic review. Brain Informatics, 7, 1-19. https://doi.org/10.1186/s40708-020-00109-x
Rojas, J. C., Contero, M., Bartomeu, N., & Guixeres, J. (2015). Using combined bipolar semantic scales and eye‐tracking metrics to compare consumer perception of real and virtual bottles. Packaging technology and science, 28(12), 1047-1056. https://doi.org/10.1002/pts.2178
Rossiter, J. R., Silberstein, R. B., Harris, P. G., & Nield, G. (2001). Brain-imaging detection of visual scene encoding in long-term memory for TV commercials. Journal of Advertising Research, 41(2), 13-21. https://doi.org/10.2501/jar-41-2-13-21
Rumpf, C., Boronczyk, F., & Breuer, C. (2020). Predicting consumer gaze hits: A simulation model of visual attention to dynamic marketing stimuli. Journal of Business Research, 111, 208-217. https://doi.org/10.1016/j.jbusres.2019.03.034
Sadeghi, M., Fakharyan, M., Dadkhah, R., Khodadadian, M. R., Vosta, S. N., & Jafari, M. (2015). Investigating the effect of rational and emotional advertising appeals of Hamrahe Aval mobile operator on attitude towards advertising and brand attitude (case study: student users of mobile in the area of Tehran). International Journal of Asian Social Science, 5(4), 233-244. https://doi.org/10.18488/journal.1/2015.5.4/1.4.233.244
Seelig, D., Wang, A.-L., Jaganathan, K., Loughead, J. W., Blady, S. J., Childress, A. R., Romer, D., & Langleben, D. D. (2014). Low message sensation health promotion videos are better remembered and activate areas of the brain associated with memory encoding. PloS one, 9(11), e113256. https://doi.org/10.1371/journal.pone.0113256
Shapiro, S., & Krishnan, H. S. (2001). Memory-based measures for assessing advertising effects: A comparison of explicit and implicit memory effects. Journal of advertising, 30(3), 1-13. https://doi.org/10.1080/00913367.2001.10673641
Simons, R. F., Detenber, B. H., Cuthbert, B. N., Schwartz, D. D., & Reiss, J. E. (2003). Attention to television: Alpha power and its relationship to image motion and emotional content. Media psychology, 5(3), 283-301. https://doi.org/10.1207/S1532785XMEP0503_03
Skaramagkas, V., Giannakakis, G., Ktistakis, E., Manousos, D., Karatzanis, I., Tachos, N. S., Tripoliti, E., Marias, K., Fotiadis, D. I., & Tsiknakis, M. (2021). Review of eye tracking metrics involved in emotional and cognitive processes. IEEE Reviews in Biomedical Engineering, 16, 260-277. https://doi.org/10.1109/RBME.2021.3066072
Smith, M. E., & Gevins, A. (2004). Attention and brain activity while watching television: Components of viewer engagement. Media Psychology, 6(3), 285-305. https://doi.org/10.1207/s1532785xmep0603_3
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, 68-81. https://doi.org/10.1016/j.joep.2013.02.011
Strick, M., Holland, R. W., Van Baaren, R., & Van Knippenberg, A. (2009). Humor in the eye tracker: Attention capture and distraction from context cues. The Journal of General Psychology: Experimental, Psychological, and Comparative Psychology, 137(1), 37-48. https://doi.org/10.1080/00221300903293055
Sung, B., Wilson, N. J., Yun, J. H., & Lee, E. J. (2020). What can neuroscience offer marketing research? Asia Pacific Journal of Marketing and Logistics, 32(5), 1089-1111. https://doi.org/10.1108/APJML-04-2019-0227
Tangmanee, C. (2013). Relationships among Two Visual Attentions and Fixation Duration on an Ad Banner: An Exploration through Eye-Tracking on YouTube. Journal of Global Business Issues, 7(1). https://short-link.me/128IG
Telpaz, A., Webb, R., & Levy, D. J. (2015). Using EEG to predict consumers’ future choices. Journal of Marketing Research, 52(4), 511-529. https://doi.org/10.1509/jmr.13.0564
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
Trimble, E., Wang, Y., & Kennon, R. (2016). Analysis of consumer behavior by fusing EEG and eye-tracking data. WIT Transactions on Engineering Sciences, 113, 389-395. https://short-link.me/128K8
Tulving, E., Kapur, S., Craik, F., Moscovitch, M., & Houle, S. (1994). Hemispheric encoding/retrieval asymmetry in episodic memory: positron emission tomography findings. Proceedings of the National Academy of Sciences, 91(6), 2016-2020. https://doi.org/10.1073/pnas.91.6.2016
Valuch, C., Pflüger, L. S., Wallner, B., Laeng, B., & Ansorge, U. (2015). Using eye tracking to test for individual differences in attention to attractive faces. Frontiers in Psychology, 6, 116596. https://doi.org/10.3389/fpsyg.2015.00042
Vecchiato, G., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Salinari, S., Soranzo, R., & Babiloni, F. (2010). Changes in brain activity during the observation of TV commercials by using EEG, GSR and HR measurements. Brain topography, 23, 165-179. https://doi.org/10.1007/s10548-009-0127-0
Vecchiato, G., Kong, W., Giulio Maglione, A., & Wei, D. (2012). Understanding the impact of TV commercials. IEEE pulse, 3(3), 42. https://short-link.me/128Lv
Vecchiato, G., Maglione, A. G., Cherubino, P., Wasikowska, B., Wawrzyniak, A., Latuszynska, A., Latuszynska, M., Nermend, K., Graziani, I., & Leucci, M. R. (2014). Neurophysiological tools to investigate consumer’s gender differences during the observation of TV commercials. Computational and mathematical methods in medicine, 2014. https://doi.org/10.1155/2014/912981
Vecchiato, G., Toppi, J., Astolfi, L., De Vico Fallani, F., Cincotti, F., Mattia, D., Bez, F., & Babiloni, F. (2011). Spectral EEG frontal asymmetries correlate with the experienced pleasantness of TV commercial advertisements. Medical & biological engineering & computing, 49, 579-583. https://doi.org/10.1007/s11517-011-0747-x
Wang, C. L. (2008). Gender differences in responding to sad emotional appeal: A moderated mediation explanation. Journal of Nonprofit & Public Sector Marketing, 19(1), 55-70. https://doi.org/10.1300/J054v19n01_03
Wang, J., & Han, W. (2014). The impact of perceived quality on online buying decisions: an event-related potentials perspective. Neuroreport, 25(14), 1091-1098. https://doi.org/10.1097/WNR.0000000000000233
Wang, L. (2019). Test and evaluation of advertising effect based on EEG and eye tracker. Translational Neuroscience, 10(1), 14-18. https://doi.org/10.1515/tnsci-2019-0003
Wang, R. W., Chang, Y.-C., & Chuang, S.-W. (2016). EEG spectral dynamics of video commercials: impact of the narrative on the branding product preference. Scientific reports, 6(1), 36487. https://doi.org/10.1038/srep36487
Wei, Z., Wu, C., Wang, X., Supratak, A., Wang, P., & Guo, Y. (2018). Using support vector machine on EEG for advertisement impact assessment. Frontiers in neuroscience, 12, 76. https://doi.org/10.3389/fnins.2018.00076
Wittmann, B. C., Schott, B. H., Guderian, S., Frey, J. U., Heinze, H.-J., & Düzel, E. (2005). Reward-related FMRI activation of dopaminergic midbrain is associated with enhanced hippocampus-dependent long-term memory formation. Neuron, 45(3), 459-467. https://short-link.me/128OT
Yadava, M., Kumar, P., Saini, R., Roy, P. P., & Prosad Dogra, D. (2017). Analysis of EEG signals and its application to neuromarketing. Multimedia Tools and Applications, 76, 19087-19111. https://doi.org/10.1007/s11042-017-4580-6
Yang, S.-F. (2015). An eye-tracking study of the Elaboration Likelihood Model in online shopping. Electronic commerce research and applications, 14(4), 233-240. https://doi.org/10.1016/j.elerap.2014.11.007
Yazid, A. F., Mohd, S. M., ARK, R. A. K., Kamarudin, S., & Jan, N. M. (2020). Decision-making analysis using Arduino-based electroencephalography (EEG): an exploratory study for marketing strategy. Journal of Intelligent and Fuzzy Systems. https://doi.org/10.14569/IJACSA.2020.0110927
Zhang, J., Yun, J., Him, & Lee. (2018). Human brain potential correlates of celebrity effect and repetition effect in social media marketing. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.01.029
Zhou, N., & Belk, R. W. (2004). Chinese consumer readings of global and local advertising appeals. Journal of advertising, 33(3), 63-76. https://doi.org/10.1080/00913367.2004.10639169