The effect of restaurant lighting on food selection from the menu

Abstract

The aim of this research is to investigate the effect of lighting, which is one of the restaurant ambiance factors, on the food choices from the menu by using neuromarketing tools. An experimental research model has been developed to contribute to the theoretical foundations of the subject. The research was conducted in a fine-dining restaurant in Istanbul with 13 volunteer participants who were chosen by using snowball sampling technique. The same menu was shown to the participants in dim light (25 lux) and bright light (250 lux) and participants were asked to choose from the menu. The research was carried out by combining the data obtained through a pioneering approach via EEG, GSR and eye tracking devices. The results obtained through the neurometric data according to the participants’ acclaim, attention, memory and evaluation scores and heat maps were supported by statistical analysis. The research is expected to provide a theoretical contribution to the literature and to help businesses marketing activities.

Keywords

• eye tracking,Neuromarketing,lighting,restaurant,menu

Restoran aydınlatmasının menüden yemek seçimine etkisi

Abstract

Bu araştırmanın amacı; restoran ambiyans faktörlerinden olan aydınlatmanın menüden yemek seçimine olan etkisini, nöropazarlama araçlarını kullanarak araştırmaktır. Konunun teorik temellerine katkı sağlamak amacıyla deneysel bir araştırma modeli geliştirilmiştir. Araştırma kartopu örnekleme yöntemi ile belirlenen 13 gönüllü katılımcı ile İstanbul’da fine dining bir restoranda yapılmıştır. Aynı menü deney koşulu olan loş ışıkta (25 lux) ve kontrol koşulu olan parlak ışıkta (250 lux) katılımcılara gösterilerek menüden seçim yapmaları istenmiştir. Araştırmada sıradışı bir yaklaşımla nöropazarlama araçlarından eye tracking, EEG ve GSR cihazları birlikte kullanılarak veri toplanmış ve üç cihazdan toplanan veriler birlikte analiz edilerek değerlendirme yapılmıştır. Katılımcıların beğeni, dikkat, hafıza ve bilişsel yük parametrelerine göre nörometrik verilerden elde edilen sonuçlar istatistiksel analizlerle desteklenmiştir. Araştırmanın alan yazına teorik katkı sağlaması, işletmeler açısından da pazarlama faaliyetlerini planlamalarına yardımcı olması beklenmektedir.

Keywords

• Nöropazarlama,eye tracking,aydınlatma,restoran,menü

References

1. Areni, C.S. and Kim, D. (1993). The influence of background music on shopping behavior: Classical versus top-forty music in a wine store. Advances in Consumer Research,20, 336-340.
2. Areni, C. and Kim, D. (1994). The influence of in-store lighting on consumers’ examination of merchandise in a wine store. International Journal of Research in Marketing, 117-125.
3. Baker, J. (1987). The role of the environment in marketing services: The consumer perspective. In: The Services Challenge: Integrating for Competitive Advantage. Czeoeil, J., Congram, C.A., Shanahan, J. (Eds.), Chicago, American Marketing Association, pp. 55–80.
4. Baron, R.A. (1990). Lighting as a source of positive affect. Progressive Architecture, 71, 123-124.
5. Bercea, M. D. (2012). Anatomy of methodologies for measuring consumer behavior in neuromarketing research. Conference paper.
6. Biswas, D., Szocs, C., Chacko, R. and Wansink, B. (2017). Shining light on atmospherics: How ambient light influences food choices. Journal of Marketing Research, 111–123.
7. Countryman, C. C. and Jang, S. C. (2006). “The effect of atmospheric elements on customer impression: The case of hotel lobbies. International Journal of Contemporary Hospitality Management, 18(7), 534-545.
8. Farnsworth, B. (2016). “iMotions”. Web:https://imotions.com/blog/analyze-heat-maps/ Son Erişim Tarihi: 07 Haziran 2019.

9. Fisher, M. (2014). Neuromarketing 19 Success Secrets. Australia: Emereo Publishing.
10. Gal, D., Wheeler, S. C. and Shiv, B. (2007). Cross - modal influences on gustatory perception. Available at SSRN: https://ssrn.com/abstract=1030197
11. Gültekin S., G. ve Perker, B. (2017). Dünya'da ve Türkiye'de nöropazarlama çalışmalarının incelenmesi ve değerlendirilmesi. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 4(3), 35-57.
12. Hopkinson, R. G., Petherbridge, P. and Longmore, J. (1966). Daylighting. London: Heinemann.
13. Hubert, M. and Kenning, P. (2008). A current overview of consumer neuroscience. Journal of Consumer Behaviour, 7: 272–292.
14. Kotler, P. (1973). Atmospheric as a marketing tool. Journal of Retailing, 49 (4), 48–64.
15. Kurtich, J. and Eakin, G. (1993). Interior architecture. New York: Van Nostrand Reinhold.
16. Ladhari R., Brun I. and Morales M. (2008). Determinants of dining satisfaction and post-dining behavioral intentions. International Journal of Hospitality Management, 27, 563–573.
17. Mattila, A. and Wirtz, J. (2001). Congruency of scent and music as a driver of in-store evaluation and behavior. Journal of Retailing (77), 273-289.
18. Milliman, R. E. (1986). The influence of background music on the behavior of restaurant patrons. Journal of Consumer Research, 13(2), 286-289.
19. Robson, S.K. A. (1999). Turning the tables: The psychology of design for high-volume restaurants. Cornell Hotel and Restaurant Administration Quarterly, 40, 56-63.
20. Ryu, K. and Jang, S.C. (2008). DINESCAPE: A scale for customers' perception of dining environments. Journal of Foodservice Business Research, 11(1), 2-22.
21. Scheibehenne, B., Todd, P. and Wansink, B. (2010). Dining in the dark. The importance of visual cues for food consumption and satiety. Appetite, 55(3), 710-713.
22. Stroebele, N. and De Castro,J. M. (2004). Effect of ambience of food intake and food choice. Nutrition, 20(9), 821-838. Ural, T. (2008). Pazarlamada yeni yaklaşım: Nöropazarlama üzerine kuramsal bir değerlendirme. Çukurova Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 17(2), s.421-432.
23. Tüzel, N. (2010). Tüketicinin zihnini okumak: Nöropazarlama ve reklam. Marmara İletişim Dergisi, 16,164-165.
24. Vijayalakshmi, K., Sridhar, S. and Khanwani, P. (2010). Estimation of effects of alpha music on EEG components by time and frequency Domain Analysis. Paper presented at the International Conference on Computer and Communication Engineering (ICCCE'10) . Kuala Lumpur: IEEE.
25. Wansink, B., Just, D. and Payne, C. (2009). Mindless eating and healthy heuristics for the irrational. American Economic Review, 99(2), 165-169.
26. Wansink, B. and van Ittersum, K. (2012). Fast food restaurant lighting and music can reduce calorie intake and increase satisfaction. Psychological Reports: Human Resources & Marketing, 111(1), 228-232.
27. Wansink, B., Shimizu, M., Cardello, V. and Wright, A. (2012). Dining in the dark: How uncertainty influences. Food Quality and Preference, 24(1), 209–212.
28. Zaltman G., (2000). Neuroimaging as a marketing tool, U.S. Patent Number 6,099,319 “neuroimaging techniques in marketing”.
29. Zhang, Y., Ma, Q. and Li, Y. (2008). Impact of scenario-based customer process flow on customer emotion and loyalty, service operations and logistics, and informatics. Paper presented at the IEEE International Conference, Monterey, California.