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The Meta-Analysis of Neuro-Marketing Studies: Past, Present and Future

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Abstract

One of the new topics that has attracted the attention of researchers in recent years is neuro-marketing. The purpose of the present study is to achieve an insight into the progress of studies on neuro-marketing through review of scientific articles in this field with methodology text-mining. A total of 394 articles were selected between 2005 and 2017 using the search for “neuro-marketing” in valid databases. By reviewing the title, abstract, and keywords at various stages of screening, the researchers selected 311 articles related to the neuro-marketing topic in order to carry out the text mining process. Then, pre-processing of data was performed and using cluster analysis, 6 optimal clusters were obtained according to Davis Bouldin index. Using the multi-attribute decision-making technique (SAW), the most important roots were ranked in each cluster. The results showed that interest in research on neuro-marketing has increased in recent years and clusters created around topics such as marketing strategies, advertising and video ads, ethical issues, advertising message components, neuroscience in marketing, economics and consumer behavior, and decision making and brand selection. The study shows that the researchers’ attention is moving from the concepts and principles of the use of neuroscience in marketing, economics and consumer behavior to design and develop marketing strategies using neuroscience.

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References

  1. Ruanguttamanun, C. 2014. Neuromarketing: I put myself into a fMRI scanner and realized that I love Louis Vuitton ads. Social and Behavioral Sciences 148: 211–218.

    Google Scholar 

  2. Plassmann, H., Yoon, C., Feinberg, F. M., and B. Shiv. 2010. Consumer Neuroscience. In Wiley International Encyclopedia of Marketing, eds J. Sheth and N. Malhotra. https://doi.org/10.1002/9781444316568.wiem03051.

  3. Sebastian, V.a. 2014. Neuromarketing and evaluation of cognitive and emotional responses of consumers to marketing stimuli. Social and Behavioral Sciences 127: 753–757.a.

    Google Scholar 

  4. Yilmaz, B., S. Korkmaz, D.B. Arslan, E. Gungor, and M.H. Asyali. 2014. Like/dislike analysis using EEG: Determination of most discriminative channels and frequencies. Computer Methods and Programs in Biomedicine 113: 705–713.

    Article  Google Scholar 

  5. Hsu, Y.T. 2018. Cognitive systems research for neuromarketing assessment on evaluating consumer learning theory with fMRI: Comparing how two word-of-mouth strategies affect the human brain differently after a product harm crisis. Cognitive Systems Research 49: 49–64.

    Article  Google Scholar 

  6. Sebastian, V.a. 2014. Neuromarketing and neuroethics. Social and Behavioral Sciences 127: 763–768 b.

    Google Scholar 

  7. Campero, A.A., and J.V. Hernandez. 2013. Analitical approach to neuromarketing as a business strategy. Social and Behavioral Sciences 99: 517–525.

    Google Scholar 

  8. Lee, N., A.J. Broderick, and L. Chamberlian. 2007. What is neuromarketing? A discussion and agenda for future research. International Journal of Psychoohysiology 63: 199–204.

    Article  Google Scholar 

  9. Solnais, C., J.A. Perez, J.S. Fernandez, and J.A. Abela. 2013. The contribution of neuroscience to consumer research: A conceptual framework and empirical review. Journal of Economic Psychology 36: 68–81.

    Article  Google Scholar 

  10. Racine, E., and J. Illes. 2007. Emerging ethical challenges in advanced neuroimaging research: Review, recommendation and research agenda. Journal of Empirical Research on Human Research Ethics: An International Journal 2 (2): 1–10.

    Article  Google Scholar 

  11. Farah, M.J. 2011. Neuroscience and neuroethics in the 21st century. In Oxford Handbook of Neuroethics, eds. Judy Illes & Barbara J. Sahakian, 761–781. Oxford: Oxford University Press.

  12. Basitaansen, M., S. Straaman, E. Driessen, O. Mitas, J. Stekelenburg, and L. Wang. 2018. My destination in your brain: A novel neuromarketing approach for evaluating the effectiveness of destination marketing. Journal of Destination Marketing & Management 7: 76–88.

    Article  Google Scholar 

  13. Stasi, A., G. Songa, M. Mauri, A. Ciceri, F. Diotallevi, G. Nardone, and V. Russo. 2018. Neuromarketing empirical approaches and food choice: A systematic review. Food Research International 108: 650–664.

    Article  Google Scholar 

  14. Olteanu, M.D.B. 2015. Neuroethics and responsibility in conducting neuromarketing research. Neuroethics 8: 191–202.

    Article  Google Scholar 

  15. Yang, T., D.Y. Lee, Y. Kwak, J. Choi, C. Kim, and S.P. Kim. 2015. Evaluation of TV commercials using neurophysiological responses. Journal of Physiological Anthropology 34: 19.

    Article  Google Scholar 

  16. Couwenberg, L.E., M.A.S. Boksem, R.C. Dietvorst, L. Worm, W. Verbeke, and A. Smidts. 2017. Neural responses to functional and experiential ad appeals: Explaining ad effectiveness. International Journal of Research in Marketing 34 (2): 355–366.

    Article  Google Scholar 

  17. Reimann, M., J. Zaichkowsky, C. Neuhaus, T. Bender, and B. Weber. 2010. Aesthetic package design: A behavioral, neural, and psychological investigation. Journal of Consumer Psychology 20: 431–441.

    Article  Google Scholar 

  18. Mehmedovic, M.H., I. Omeragic, Z. Batagelj, and T. Kolar. 2017. Seeing is not necessarily linking: Advancing research on package design with eye-tracking. Journal of Business Research 80: 145–154.

    Article  Google Scholar 

  19. Kuhn, S., E. Strelow, and J. Galliant. 2016. Multiple “buy buttons” in the brain: Forecasting chocolate sales at point of sale based on functional brain activation using fMRI. NeuroImage 36: 122–128.

    Article  Google Scholar 

  20. Drexler, D., and M. Soucek. 2016. The influence of sweet positioning on shelves on consumer perception. Food Packaging and Shelf Life 10: 34–45.

    Article  Google Scholar 

  21. Venkatraman, V., J.A. Clithero, G.J. Fitzsimons, and S.A. Huettel. 2012. New scanner data for brand marketers: How neuroscience can help better understand differences in brand preferences. Journal of Consumer Psychology 22: 143–153.

    Article  Google Scholar 

  22. Plassmann, H., T.Z. Ramsoy, and M. Milosavljevic. 2012. Branding the brain: A critical review and outlook. Journal of Consumer Psychology 22: 18–36.

    Article  Google Scholar 

  23. Ulman, Y.I., T. Cakar, and G. Yildiz. 2015. Ethical issues in neuromarketing: “I consume, therefore I am!”. Science and Engineering Ethics 21: 1271–1284.

    Article  Google Scholar 

  24. Daugherty, T., E. Hoffman, K. Kennedy, and M. Nolan. 2018. Measuring consumer neural activation to differentiate cognitive processing of advertising: Revisiting Krugman. European Journal of Marketing 52: 182–198.

    Article  Google Scholar 

  25. Popa, L., O. Selejan, A. Scott, D.F. Muresanu, M. Balea, and A. Rafila. 2015. Reading beyond the galance: Eye tracking in neuroscience. Neurological Sciences 36: 683–688.

    Article  Google Scholar 

  26. Thompson, C. 2003. There’s a sucker born is every medial prefrontal cortex, N. Y. Times Mag. October 26, 2003.

  27. Kenning, P., and M. Linzmajer. 2011. Consumer neuroscience: An overview of an emerging discipline with implications for consumer policy. Journal fur Verbraucherschutz und Lebensmittelsicherheit 6 (1): 111–125.

    Article  Google Scholar 

  28. Murphy, E., J. Illes, and P.B. Reiner. 2008. Neuroethics of neuromarketing. Journal of Consumer Behavior 7: 293–303.

    Article  Google Scholar 

  29. Dapkevicius, A., and B. Melnikas. 2011. Influence of price and quality to customer satisfaction: Neuromarketing approach. Science-Future of Lithuania/ Mokslas-Lietuvos Ateitis 1 (3): 17–20.

    Article  Google Scholar 

  30. Nie, B., and S. Sun. 2017. Using text mining techniques to identify research trends: A case study of design research. Applied Science 7.

  31. He, W., S. Zha, and L. Li. 2013. Social media competitive analysis and text mining: A case study in the pizza industry. International Journal of Information Management 33: 464–472.

    Article  Google Scholar 

  32. Hashimi, H., A. Hafez, and H. Mathkour. 2015. Selection criteria for text mining approaches. Computers in Human Behavior 51: 729–733.

    Article  Google Scholar 

  33. Liau, B., and P.P. Tan. 2014. Gaining customer knowledge in low cost airlines through text mining. Industrial Management & Data Systems 114 (9): 1344–1359.

    Article  Google Scholar 

  34. Han, J., J. Pei, and M. Kamber. 2012. Data mining: Concepts and techniques. Elsevier: 443–495. https://doi.org/10.1016/B978-0-12-381479-1.00010-1.

  35. Agarwal, S., and T. Dutta. 2015. Neuromarketing and consumer neuroscience: Current understanding and the way forward. Decision 42 (4): 457–462.

    Article  Google Scholar 

  36. Boz, H., A. Arslan, and E. Koc. 2017. Neuromarketing aspect of tourism pricing psychology. Tourism Management Perspectives 23: 119–128.

    Article  Google Scholar 

  37. Babiloni, F. 2015. Neuromarketing. International encyclopedia of the social and behavioral sciences (second edition), 698–702.

  38. Nomura, T., and Y. Mitsukura. 2015. EEG-based detection of TV commercials effect. Procedia Computer Science 60: 131–140.

    Article  Google Scholar 

  39. Salles, A., K. Evers, and M. Farisco. 2018. Neuroethics and philosophy in responsible research and innovation: the case of the human brain project. Neuroethics. Published online: 07 June 2018.

  40. Thomas, A., A. Hammer, G. Beibst, and T. Munte. 2013. An ERP study of brand and no-name products. BMC Neuroscience 14: 149.

    Article  Google Scholar 

  41. Czyz, A.F., M. Ratomska, A. Cudo, P. Francuz, N. Kopis, and P. Tuznik. 2016. Controlled categorization processing in brand extension evaluation by indo-European language speakers. An ERP study. Neuroscience Letters 628: 30–34.

    Article  Google Scholar 

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Correspondence to Davood Feiz.

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Shahriari, M., Feiz, D., Zarei, A. et al. The Meta-Analysis of Neuro-Marketing Studies: Past, Present and Future. Neuroethics 13, 261–273 (2020). https://doi.org/10.1007/s12152-019-09400-z

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  • DOI: https://doi.org/10.1007/s12152-019-09400-z

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