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Essay | Journal of Digital Marketing and Communication | Volume 4 - Issue 2 - 2024 | 62-69 | https://doi.org/10.53623/jdmc.v4i2.484
© 2024 by the author(s), and is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) License Creative Commons Attribution 4.0 International (CC BY 4.0) License

Digital Marketing and Consumer Nutritional Behavior

Author(s): Aysu Kömürcü 1 , Dilara Özdil 2 , Ahmet Reha Botsali 3 , Didem Önay Derin 4
Author(s) information:
1 Selcuk University Institute of Health Sciences Department of Nutrition and Dietetics, Turkiye.
2 Necmettin Erbakan University Institute of Sciences Department of Industrial Engineering, Turkiye.
3 Necmettin Erbakan University Faculty of Engineering Department of Industrial Engineering, Turkiye.
4 Selcuk University Faculty of Health Sciences Department of Nutrition and Dietetics, Turkiye.

Corresponding author

Journal of Digital Marketing and Communication

Volume 4 - Issue 2 - 2024

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Digital marketing involves promoting and selling products and services online and it is becoming extremely critical for retailers to gain new customers. Digital marketing uses online platforms, e-mail communications and messaging services, advertisements, and multi-modal online techniques. Digital marketing techniques can be used in parallel with machine learning and artificial intelligence to provide more effective results in analyzing customer behavior. Artificial intelligence (AI) has become an important and popular tool in the 21st century, affecting almost every sector, including engineering, science, medicine, business, finance, and marketing. However, AI’s dominance in every field of life, especially in digital marketing, may cause some ethical concerns related to consumers. In addition to these moral concerns, digital marketing creates doubts about its negative impact on human health.   For this reason, understanding consumer behavior and providing products according to consumer needs has become indispensable for companies today. Digital marketing is everywhere in our daily lives and is also frequently used in the food industry. Through digital marketing, food industries promote the consumption of foods that are particularly high in energy and poor in nutrients. Consequently, individuals exposed to digital marketing in the food industry may be prone to obesity-related problems. This study analyzes the relationship between digital marketing, AI, and consumer behavior specifically on eating habits along with references from the literature.

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. DeWilde, C. (2024). Social media and digital marketing for veterinary practices. Veterinary Clinics of North America: Small Animal Practice, 54, 381‒394. https://doi.org/10.1016/j.cvsm.2023.10.006.

. Keegan, B.J.; Dennehy, D.; Naudé, P. (2022). Implementing artificial intelligence in traditional B2B marketing practices: An activity theory perspective. Information Systems Frontiers, 26, 1025–1039. https://doi.org/10.1007/s10796-022-10294-1.

. Boyland, E.; Thivel, D.; Mazur, A.; Ring-Dimitriou, S.; Frelut, M.L.; Weghuber, D. (2020). Digital food marketing to young people: A substantial public health challenge. Annals of Nutrition & Metabolism, 76, 6‒9. https://doi.org/10.1159/000506413.

. Bala, M.; Verma, D. (2018). A critical review of digital marketing. International Journal of Management, IT & Engineering, 8, 321‒339.

. Tuzcu, N. (2023). Pazarlamada dijital dönüşüm: Dijital pazarlama stratejilerinin değerlendirilmesi. Güncel Gelişmelerle Pazarlama Konular ve Araştırmalar-I, 189.

. İşler, D.B.; Yarangümelioğlu, D.; Gümülü, E. (2014). Online tüketici satın alma davranışlarını etkileyen faktörlere yönelik bir durum değerlendirmesi: Isparta ilinde bir uygulama. Uluslararası Alanya İşletme Fakültesi Dergisi, 6, 3.

. Koçarslan, H.; Kılınç, H. (2019). Dijital pazarlamada tüketici algısı, internette alışveriş üzerine bir araştırma. Avrupa Bilim ve Teknoloji Dergisi, 17, 1263‒1273.

. Arıca, Ş.Ç.; Güreş, N.; Arslan, S. (2016). Tüketicilerin sağlıklı beslenmeye yönelik tutumlarının incelenmesine yönelik bir araştırma. Çukurova Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 20, 99‒110.

. Oscarius, Y.A.W.; Sulistiyani, S.; Pudjowati, J.; Kartikawati, T.S.; Kurniasih, N.; Purwanto, A. (2021). The role of social media marketing, entertainment, customization, trendiness, interaction and word-of-mouth on purchase intention: An empirical study from Indonesian smartphone consumers. International Journal of Data and Network Science, 5, 231‒238. http://doi.org/10.5267/j.ijdns.2021.6.011.

. Alalwan, A.A.; Rana, N.P.; Dwivedi, Y.K.; Algharabat, R. (2017). Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics, 34, 1177‒1190. https://doi.org/10.1016/j.tele.2017.05.008.

. Search engine optimization: A survey of current best practices. (accessed on 15 May 2024) Available online: https://scholarworks.gvsu.edu/cistechlib/151/.

. Pavlov, O.V.; Melville, N.; Plice, R.K. (2008). Toward a sustainable email marketing infrastructure. Journal of Business Research, 61, 1191‒1199. http://doi.org/10.1016/j.jbusres.2007.11.010.

. Bubphapant, J.; Brandão, A. (2024). Content marketing research: A review and research agenda. International Journal of Consumer Studies, 48, e12984. https://doi.org/10.1111/ijcs.12984.

. Sung, E.C.; Bae, S.; Han, D.I.D.; Kwon, O. (2021). Consumer engagement via interactive artificial intelligence and mixed reality. International Journal of Information Management, 60, 102382. https://doi.org/10.1016/j.ijinfomgt.2021.102382.

. Oke, S.A. (2008). A literature review on artificial intelligence. International Journal of Information and Management Sciences, 19, 535‒570.

. Zhu, J.; Wang, G. (2023). Artificial intelligence technology for food nutrition. Nutrients, 15, 4562. https://doi.org/10.3390/nu15214562.

. Artificial intelligence customer experience: What is it, pros, cons, and best tools. (accessed on 16 December 2023). Available online: https://www.questionpro.com/blog/ai-customer-experience/.

. Zhang, H.; Cao, X.; Ho, J.K.; Chow, T.W. (2016). Object-level video advertising: An optimization framework. IEEE Transactions on Industrial Informatics, 13, 520‒531. https://doi.org/10.1109/TII.2016.2605629.

. Rust, R.T. (2020). The future of marketing. International Journal of Research in Marketing, 37, 15‒26. https://doi.org/10.1016/j.ijresmar.2019.08.002.

. Okay, S. (2023). Dijital pazarlamada yapay zeka ve makine öğrenimi kullanımı. Elektronik Sosyal Bilimler Dergisi, 22, 135‒142.

. Öztürk, E.; Tekeli, S. (2021). Tüketicilerin besin seçim güdüleri: Y ve Z kuşaklarının karşılaştırılması. Pazarlama ve Pazarlama Araştırmaları Dergisi, 14, 147‒182.

. Mao, Y.; Shi-Kupfer, K. (2023). Online public discourse on artificial intelligence and ethics in China: Context, content, and implications. AI & Society, 38, 373‒389. https://doi.org/10.1007/s00146-021-01309-7.

. Othman, K. (2021). Public acceptance and perception of autonomous vehicles: A comprehensive review. AI Ethics, 1, 355‒387. http://doi.org/10.1007/s43681-021-00041-8.

. Bhuvaneswari, L.; Subadra, S.; Sreekala, S.; Natarajan, S.; Shajahan, U.S.; Vijai, C. (2024). The impact of artificial intelligence (AI) on digital marketing. Migration Letters, 21, 1132‒1142.

. Bozyiğit, S.; Kilinç, G. (2019). Tüketicilerin sağlıklı gıda algıları ve tüketim davranışları keşifsel bir çalışma. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 45, 201‒229.

. Arıcan Kaygusuz, N. (2023). Nöropazarlama ve yapay zekâ ilişkisinin tüketici davranışları üzerindeki etkisine yönelik kavramsal bir model önerisi. Jass Studies-The Journal of Academic Social Science Studies, 16, 527‒547. http://doi.org/10.29228/JASSS.67916.

. Yılmaz, E.; Oraman, Y.; İnan, İ.H. (2009). Gıda ürünlerine ilişkin tüketici davranışı dinamiklerinin belirlenmesi: Trakya örneği. Tekirdağ Ziraat Fakültesi Dergisi.

. André, Q.; Carmon, Z.; Wertenbroch, K.; Crum, A.; Frank, D.; Goldstein, W.; Yang, H. (2018). Consumer choice and autonomy in the age of artificial intelligence and big data. Consumer Needs and Solution, 5, 28‒37. https://doi.org/10.1007/s40547-017-0085-8.

. Ali-Alsaadi, A.A.; Cabeza-Ramírez, L.J.; Sántos-Roldán, L.; Loor-Zambrano, H.Y. (2023). Digital marketing and fast-food intake in the UAE: The role of firm-generated content among adult consumers. Foods, 12, 4089. https://doi.org/10.3390/foods12224089.

. Yaiprasert, C.; Hidayanto, A.N. (2023). AI-driven ensemble: Three machine learning to enhance digital marketing strategies in the food delivery business. Intelligent Systems with Applications, 18, 200235. https://doi.org/10.1016/j.iswa.2023.200235.

. Hanehalkı Bilişim Teknolojileri (BT) Kullanım Araştırması, 2023. (accessed on 15 May 2024) Available online: https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2023-49407.

. Maksi, S.J.; Keller, K.L.; Dardis, F.; Vecchi, M.; Freeman, J.; Evans, R.K.; Boyland, E.; Masterson, T.D. (2024). The food and beverage cues in digital marketing model: Special considerations of social media, gaming, and livestreaming environments for food marketing and eating behavior research. Frontiers in Nutrition, 10, 1325265. https://doi.org/10.3389/fnut.2023.1325265.

. Shaw, S.; Barrett, M.; Shand, C.; Cooper, C.; Crozier, S.; Smith, D.; Barker, M.; Vogel, C. (2024). Influences of the community and consumer nutrition environment on the food purchases and dietary behaviors of adolescents: A systematic review. Obesity Reviews, 24, e13569. https://doi.org/10.1111/obr.13569.

. Hardcastle, S.J.; Thøgersen-Ntoumani, C.; Chatzisarantis, N.L. (2015). Food choice and nutrition: A social psychological perspective. Nutrients, 7, 8712‒8715. https://doi.org/10.3390/nu7105424.

. Kheirollahpour, M.M.; Danaee, M.M.; Merican, A.F.A.; Shariff, A.A.A. (2020). Prediction of the influential factors on eating behaviors: A hybrid model of structural equation modelling-artificial neural networks. Scientific World Journal, 18, 4194293 https://doi.org/10.1155/2020/4194293.

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SUBMITTED: 28 August 2024
ACCEPTED: 21 September 2024
PUBLISHED: 23 September 2024
SUBMITTED to ACCEPTED: 24 days
DOI: https://doi.org/10.53623/jdmc.v4i2.484

Cite this article
Kömürcü, A. ., Özdil, D., Botsali, A. R., & Önay Derin, D. (2024). Digital Marketing and Consumer Nutritional Behavior. Journal of Digital Marketing and Communication, 4(2), 62–69. https://doi.org/10.53623/jdmc.v4i2.484
Keywords
Beslenme Davranışı Yapay Zeka Dijital Pazarlama
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