Preprint / Version 1

A Systematic Review and Analysis of Marketing Factors and Stimuli on Consumer Purchasing Behavior

##article.authors##

  • Seeun Min Polygence

DOI:

https://doi.org/10.58445/rars.131

Keywords:

consumer purchasing behavior, marketing, behavioral economics

Abstract

Background—Amidst the ever-increasing economic affluence of the 21st century, consumer buying behavior is at an all time high. Consumer buying behavior explains the innate biases, preferences, and motivations that influence purchasing patterns.

Objective—This paper aims to review the literature investigating the influence of neurological and psychological factors on consumer buying behavior. 

Methods—To find all relevant studies, a systematic search of PubMed was employed. Search terms included “consumer behavior,” “purchase decision,” and “neuromarketing.” Only clinical trials and randomized control trials with full-text access were used, except for the term neuromarketing, where no filters were applied.

Results— Both internal (psychological, demographic, emotional, neurological, physiological) and external (pricing, cultural, advertising, and branding) factors influence consumer purchasing behavior in positive or negative directions. Some examples of psychological factors are group conformity and color psychology, which influence consumer decisions by heightening brand appeal and brand association. Sociological and cultural factors include demographics, which discuss consumers’ preferences and needs according to age, race, gender and economic status. Economic factors stem from individual income and economic trends that influence consumers’ preferences for normal, inferior, substitute, and luxury goods. Neurological and physiological factors account for conscious and unconscious decision making. Unconscious decision making takes into account brain hemisphere activity and hormone excretion based on stress, sleep, hunger, and numerous other factors. Lastly, branding factors include all external decisions made by companies to influence the decision-making processes of consumers.

Conclusions—Overall, the majority of the literature found that neurological and physiological factors surrounding consumer purchasing patterns influence and are more susceptible to corporate influence on consumer buying behavior than external demographic, cultural, and economic factors. It is important to dissect the roots of consumer buying behavior in order to better understand consumer cognitive biases and preferences, and better allocate resources and information toward society, especially of underprivileged and minority communities. 

References

Appelhans, B. M., French, S. A., Olinger, T., Bogucki, M., Janssen, I., Avery-Mamer, E. F., & Powell, L. M. (2018). Leveraging delay discounting for health: Can time delays influence food choice?. Appetite, 126, 16–25. https://doi.org/10.1016/j.appet.2018.03.010

Bruce, A. S., Bruce, J. M., Black, W. R., Lepping, R. J., Henry, J. M., Cherry, J. B., Martin, L. E., Papa, V. B., Davis, A. M., Brooks, W. M., & Savage, C. R. (2014). Branding and a child's brain: an fMRI study of neural responses to logos. Social cognitive and affective neuroscience, 9(1), 118–122. https://doi.org/10.1093/scan/nss109

Calvert, G. A., Pathak, A., Ching, L., Trufil, G., & Fulcher, E. P. (2019). Providing Excellent Consumer Service Is Therapeutic: Insights from an Implicit Association Neuromarketing Study. Behavioral sciences (Basel, Switzerland), 9(10), 109. https://doi.org/10.3390/bs9100109

Calvert, G. A., Trufil, G., Pathak, A., & Fulcher, E. P. (2020). IMPULSE Moment-by-Moment Test: An Implicit Measure of Affective Responses to Audiovisual Televised or Digital Advertisements. Behavioral sciences (Basel, Switzerland), 10(4), 73. https://doi.org/10.3390/bs10040073

Camarrone, F., & Van Hulle, M. M. (2019). Measuring brand association strength with EEG: A single-trial N400 ERP study. PloS one, 14(6), e0217125. https://doi.org/10.1371/journal.pone.0217125

Donnelly, G. E., Zatz, L. Y., Svirsky, D., & John, L. K. (2018). The Effect of Graphic Warnings on Sugary-Drink Purchasing. Psychological science, 29(8), 1321–1333. https://doi.org/10.1177/0956797618766361

Downs, J. S., Wisdom, J., Wansink, B., & Loewenstein, G. (2013). Supplementing menu labeling with calorie recommendations to test for facilitation effects. American journal of public health, 103(9), 1604–1609. https://doi.org/10.2105/AJPH.2013.301218

Duan, L., Ai, H., Yang, L., Xu, L., & Xu, P. (2021). Gender Differences in Transnational Brand Purchase Decision Toward Mixed Culture and Original Culture Advertisements: An fNIRS Study. Frontiers in psychology, 12, 654360. https://doi.org/10.3389/fpsyg.2021.654360

Eijlers, E., Boksem, M., & Smidts, A. (2020). Measuring Neural Arousal for Advertisements and Its Relationship With Advertising Success. Frontiers in neuroscience, 14, 736. https://doi.org/10.3389/fnins.2020.00736

Franco-Arellano, B., Vanderlee, L., Ahmed, M., Oh, A., & L'Abbé, M. (2020). Influence of front-of-pack labelling and regulated nutrition claims on consumers' perceptions of product healthfulness and purchase intentions: A randomized controlled trial. Appetite, 149, 104629. https://doi.org/10.1016/j.appet.2020.104629

Fu, J., Li, X., Zhao, X., Zhang, K., & Cui, N. (2022). How Does the Implicit Awareness of Consumers Influence the Effectiveness of Public Service Announcements? A Functional Near-Infrared Spectroscopy Study. Frontiers in psychology, 13, 825768. https://doi.org/10.3389/fpsyg.2022.825768

Goto, N., Lim, X. L., Shee, D., Hatano, A., Khong, K. W., Buratto, L. G., Watabe, M., & Schaefer, A. (2019). Can Brain Waves Really Tell If a Product Will Be Purchased? Inferring Consumer Preferences From Single-Item Brain Potentials. Frontiers in integrative neuroscience, 13, 19. https://doi.org/10.3389/fnint.2019.00019

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

Guixeres, J., Bigné, E., Ausín Azofra, J. M., Alcañiz Raya, M., Colomer Granero, A., Fuentes Hurtado, F., & Naranjo Ornedo, V. (2017). Consumer Neuroscience-Based Metrics Predict Recall, Liking and Viewing Rates in Online Advertising. Frontiers in psychology, 8, 1808. https://doi.org/10.3389/fpsyg.2017.01808

Harris, J. M., Ciorciari, J., & Gountas, J. (2019). Consumer Neuroscience and Digital/Social Media Health/Social Cause Advertisement Effectiveness. Behavioral sciences (Basel, Switzerland), 9(4), 42. https://doi.org/10.3390/bs9040042

Hollis-Hansen, K., Seidman, J., O'Donnell, S., & Epstein, L. H. (2019). Episodic future thinking and grocery shopping online. Appetite, 133, 1–9. https://doi.org/10.1016/j.appet.2018.10.019

Karim, A. A., Lützenkirchen, B., Khedr, E., & Khalil, R. (2017). Why Is 10 Past 10 the Default Setting for Clocks and Watches in Advertisements? A Psychological Experiment. Frontiers in psychology, 8, 1410. https://doi.org/10.3389/fpsyg.2017.01410

Karmarkar, U. R., Carroll, A. L., Burke, M., & Hijikata, S. (2021). Category Congruence of Display-Only Products Influences Attention and Purchase Decisions. Frontiers in neuroscience, 15, 610060. https://doi.org/10.3389/fnins.2021.610060

Kühne, S. J., Reijnen, E., Granja, G., & Hansen, R. S. (2022). Labels Affect Food Choices, but in What Ways?. Nutrients, 14(15), 3204. https://doi.org/10.3390/nu14153204

Leeuwis, N., Pistone, D., Flick, N., & van Bommel, T. (2021). A Sound Prediction: EEG-Based Neural Synchrony Predicts Online Music Streams. Frontiers in psychology, 12, 672980. https://doi.org/10.3389/fpsyg.2021.672980

Liu, J., Wright, C., Elizarova, O., Dahne, J., Bian, J., Williams, P., Zulkiewicz, B., & Tan, A. S. (2022). Effects of brief exposure to misinformation about e-cigarette harms on Twitter on knowledge and perceptions of e-cigarettes. Digital health, 8, 20552076221116780. https://doi.org/10.1177/20552076221116780

Luan, J., Yao, Z., & Bai, Y. (2017). How Social Ties Influence Consumer: Evidence from Event-Related Potentials. PloS one, 12(1), e0169508. https://doi.org/10.1371/journal.pone.0169508

Ma, Q., Abdeljelil, H. M., & Hu, L. (2019). The Influence of the Consumer Ethnocentrism and Cultural Familiarity on Brand Preference: Evidence of Event-Related Potential (ERP). Frontiers in human neuroscience, 13, 220. https://doi.org/10.3389/fnhum.2019.00220

Ma, Q., Zhang, L., & Wang, M. (2018). "You Win, You Buy"-How Continuous Win Effect Influence Consumers' Price Perception: An ERP Study. Frontiers in neuroscience, 12, 691. https://doi.org/10.3389/fnins.2018.00691

Madipakkam, A. R., Bellucci, G., Rothkirch, M., & Park, S. Q. (2019). The influence of gaze direction on food preferences. Scientific reports, 9(1), 5604. https://doi.org/10.1038/s41598-019-41815-9

Mañas-Viniegra, L., Núñez-Gómez, P., & Tur-Viñes, V. (2020). Neuromarketing as a strategic tool for predicting how Instagramers have an influence on the personal identity of adolescents and young people in Spain. Heliyon, 6(3), e03578. https://doi.org/10.1016/j.heliyon.2020.e03578

Mashrur, F. R., Rahman, K. M., Miya, M., Vaidyanathan, R., Anwar, S. F., Sarker, F., & Mamun, K. A. (2022). BCI-Based Consumers' Choice Prediction From EEG Signals: An Intelligent Neuromarketing Framework. Frontiers in human neuroscience, 16, 861270. https://doi.org/10.3389/fnhum.2022.861270

Mauri, M., Rancati, G., Gaggioli, A., & Riva, G. (2021). Applying Implicit Association Test Techniques and Facial Expression Analyses in the Comparative Evaluation of Website User Experience. Frontiers in psychology, 12, 674159. https://doi.org/10.3389/fpsyg.2021.674159

Mengual-Recuerda, A., Tur-Viñes, V., & Juárez-Varón, D. (2020). Neuromarketing in Haute Cuisine Gastronomic Experiences. Frontiers in psychology, 11, 1772. https://doi.org/10.3389/fpsyg.2020.01772

Michels, K. B., Bloom, B. R., Riccardi, P., Rosner, B. A., & Willett, W. C. (2008). A study of the importance of education and cost incentives on individual food choices at the Harvard School of Public Health cafeteria. Journal of the American College of Nutrition, 27(1), 6–11. https://doi.org/10.1080/07315724.2008.10719669

Nuñez-Gomez, P., Alvarez-Ruiz, A., Ortega-Mohedano, F., & Alvarez-Flores, E. P. (2020). Neuromarketing Highlights in How Asperger Syndrome Youth Perceive Advertising. Frontiers in psychology, 11, 2103. https://doi.org/10.3389/fpsyg.2020.02103

Raiesdana, S., & Mousakhani, M. (2022). An EEG-Based Neuromarketing Approach for Analyzing the Preference of an Electric Car. Computational intelligence and neuroscience, 2022, 9002101. https://doi.org/10.1155/2022/9002101

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

Riesenberg, D., Peeters, A., Backholer, K., Martin, J., Ni Mhurchu, C., & Blake, M. R. (2022). Exploring the effects of added sugar labels on food purchasing behaviour in Australian parents: An online randomised controlled trial. PloS one, 17(8), e0271435. https://doi.org/10.1371/journal.pone.0271435

Rost, K. M., Marshall, D., & Xu, S. (2014). Intervention impact on depression product appraisal and purchasing behavior by employers: a randomized trial. BMC health services research, 14, 426. https://doi.org/10.1186/1472-6963-14-426

Rúa-Hidalgo, I., Galmes-Cerezo, M., Cristofol-Rodríguez, C., & Aliagas, I. (2021). Understanding the Emotional Impact of GIFs on Instagram through Consumer Neuroscience. Behavioral sciences (Basel, Switzerland), 11(8), 108. https://doi.org/10.3390/bs11080108

Russo, V., Songa, G., Milani Marin, L. E., Balzaretti, C. M., & Tedesco, D. (2020). Novel Food-Based Product Communication: A Neurophysiological Study. Nutrients, 12(7), 2092. https://doi.org/10.3390/nu12072092

Russo, V., Zito, M., Bilucaglia, M., Circi, R., Bellati, M., Marin, L., Catania, E., & Licitra, G. (2021). Dairy Products with Certification Marks: The Role of Territoriality and Safety Perception on Intention to Buy. Foods (Basel, Switzerland), 10(10), 2352. https://doi.org/10.3390/foods10102352

Santos, J. P., Seixas, D., Brandão, S., & Moutinho, L. (2011). Investigating the role of the ventromedial prefrontal cortex in the assessment of brands. Frontiers in neuroscience, 5, 77. https://doi.org/10.3389/fnins.2011.00077

Seah, S., Rebello, S. A., Tai, B. C., Tay, Z., Finkelstein, E. A., & van Dam, R. M. (2018). Impact of tax and subsidy framed messages on high- and lower-sugar beverages sold in vending machines: a randomized crossover trial. The international journal of behavioral nutrition and physical activity, 15(1), 76. https://doi.org/10.1186/s12966-018-0711-3

Stacey, F., Delaney, T., Ball, K., Zoetemeyer, R., Lecathelinais, C., Wolfenden, L., Seward, K., & Wyse, R. (2021). A Cluster Randomized Controlled Trial Evaluating the Impact of Tailored Feedback on the Purchase of Healthier Foods from Primary School Online Canteens. Nutrients, 13(7), 2405. https://doi.org/10.3390/nu13072405

Vargas-Meza, J., Jáuregui, A., Contreras-Manzano, A., Nieto, C., & Barquera, S. (2019). Acceptability and understanding of front-of-pack nutritional labels: an experimental study in Mexican consumers. BMC public health, 19(1), 1751. https://doi.org/10.1186/s12889-019-8108-z

Vecchiato, G., Maglione, A. G., Cherubino, P., Wasikowska, B., Wawrzyniak, A., Latuszynska, A., Latuszynska, M., Nermend, K., Graziani, I., Leucci, M. R., Trettel, A., & Babiloni, F. (2014). Neurophysiological tools to investigate consumer's gender differences during the observation of TV commercials. Computational and mathematical methods in medicine, 2014, 912981. https://doi.org/10.1155/2014/912981

Viera, A. J., Tuttle, L., Olsson, E., Gras-Najjar, J., Gizlice, Z., Hales, D., Linnan, L., Lin, F. C., Noar, S. M., & Ammerman, A. (2017). Effects of physical activity calorie expenditure (PACE) labeling: study design and baseline sample characteristics. BMC public health, 17(1), 702. https://doi.org/10.1186/s12889-017-4710-0

Viswanathan, V., Lee, S., Gilman, J. M., Kim, B. W., Lee, N., Chamberlain, L., Livengood, S. L., Raman, K., Lee, M. J., Kuster, J., Stern, D. B., Calder, B., Mulhern, F. J., Blood, A. J., & Breiter, H. C. (2015). Age-related striatal BOLD changes without changes in behavioral loss aversion. Frontiers in human neuroscience, 9, 176. https://doi.org/10.3389/fnhum.2015.00176

Viswanathan, V., Sheppard, J. P., Kim, B. W., Plantz, C. L., Ying, H., Lee, M. J., Raman, K., Mulhern, F. J., Block, M. P., Calder, B., Lee, S., Mortensen, D. T., Blood, A. J., & Breiter, H. C. (2017). A Quantitative Relationship between Signal Detection in Attention and Approach/Avoidance Behavior. Frontiers in psychology, 8, 122. https://doi.org/10.3389/fpsyg.2017.00122

Qing, K., Huang, R., & Hong, K. S. (2021). Decoding Three Different Preference Levels of Consumers Using Convolutional Neural Network: A Functional Near-Infrared Spectroscopy Study. Frontiers in human neuroscience, 14, 597864. https://doi.org/10.3389/fnhum.2020.597864

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, 36487. https://doi.org/10.1038/srep36487

Wang, S., Xu, C., Xiao, L., & Ding, A. S. (2021). The Implicit Aesthetic Preference for Mobile Marketing Interface Layout-An ERP Study. Frontiers in human neuroscience, 15, 728895. https://doi.org/10.3389/fnhum.2021.728895

Wyse, R., Delaney, T., Stacey, F., Zoetemeyer, R., Lecathelinais, C., Lamont, H., Ball, K., Campbell, K., Rissel, C., Attia, J., Wiggers, J., Yoong, S. L., Oldmeadow, C., Sutherland, R., Nathan, N., Reilly, K., & Wolfenden, L. (2021). Effectiveness of a Multistrategy Behavioral Intervention to Increase the Nutritional Quality of Primary School Students' Web-Based Canteen Lunch Orders (Click & Crunch): Cluster Randomized Controlled Trial. Journal of medical Internet research, 23(9), e26054. https://doi.org/10.2196/26054

Yang, T., & Kim, S. P. (2019). Group-Level Neural Responses to Service-to-Service Brand Extension. Frontiers in neuroscience, 13, 676. https://doi.org/10.3389/fnins.2019.00676

Yang, T., Lee, S., Seomoon, E., & Kim, S. P. (2018). Characteristics of Human Brain Activity during the Evaluation of Service-to-Service Brand Extension. Frontiers in human neuroscience, 12, 44. https://doi.org/10.3389/fnhum.2018.00044

Zito, M., Fici, A., Bilucaglia, M., Ambrogetti, F. S., & Russo, V. (2021). Assessing the Emotional Response in Social Communication: The Role of Neuromarketing. Frontiers in psychology, 12, 625570. https://doi.org/10.3389/fpsyg.2021.625570

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2023-01-25