Araştırma Makalesi

Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning

Cilt: 21 Sayı: 3 27 Mayıs 2024
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Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning

Öz

This study aims to comparatively determine the consumer perception of food products marketed under ecologically friendly concepts (organic food, good agriculture, and natural production) and food sold directly by farmers, conventional food, and farmer cooperative branded food. For this purpose, a face-to-face survey was conducted with 171 identified consumers. R program was used to perform all of the analyses. Machine learning methods such as Logistic Regression (LR), Correspondence Analysis (CA), and Principal Component Analysis (PCA) are used for determining consumer perception from obtained data. Descriptive statistics results showed that 51.5 percent of those polled were male and 48.5 percent were female. It found that the mean age of the consumers was joined to the survey was 36.4. According to the LR findings, consumer socioeconomic characteristics have a considerable impact on the purchase of various foods (such as organic labeled foods, good agricultural practices foods, producer cooperative branded foods, etc.). It has been discovered as the result of the PCA, people perceived organic branded food and good agricultural practices foods, which are healthier, more flavorful, and more trustworthy than other food. however, it has been discovered that they believe the costs of these types of food are expensive and that they are difficult to obtain. On the other hand, they perceive the pricing of farmer cooperative branded foods and food sold directly by the farmer to be lower. Furthermore, it was observed in CA findings that there was a correlation between these various food groups and purchase locations. While products sold directly by farmers are mostly purchased from public markets, they prefer grocery stores and supermarkets when purchasing foods with good agricultural practices and natural labeled (from the markets). When seen from this perspective, it is possible to conclude that ecologically friendly food and other food products are regarded differently by customers based on product characteristics. The use of marketing techniques that create a positive perspective in terms of affordability and accessibility and the development of policies and production techniques that boost consumers' current perceptions of these items are considered will promote the consumption of these products.

Anahtar Kelimeler

Kaynakça

  1. Abdi, H. and Williams, L. J. (2010). Principal Component Analysis (Issue 2). www.utdallas.edu/.
  2. Ağır, B. H., Poyraz, N., Yılmaz, H. İ. and Boz, İ. (2014). Organic product perception of consumers: Sample of Kayseri Province. XI. Congress of Agricultural Economics, 3-5 September, Samsun, Türkiye.
  3. Aprile, M. C., Caputo, V. and Nayga, R. M. (2016). Consumers’ Preferences and Attitudes Toward Local Food products. Journal of Food Products Marketing, 22(1): 19–42. https://doi.org/10.1080/10454446.2014.949990
  4. Argemí-Armengol, I., Villalba, D., Ripoll, G., Teixeira, A. and Álvarez-Rodríguez, J. (2019). Credence cues of pork are more important than consumers’ culinary skills to boost their purchasing intention. Meat Science, 154: 11–21. https://doi.org/10.1016/j.meatsci.2019.04.001
  5. Bahsi, N. and Akça, A. (2019). A research on the determination of consumers’ perspectives on organic agricultural products: Case study in Osmaniye and Şanlıurfa Provinces. Journal of Agriculture and Nature, 22(1): 26–34. https://doi.org/10.18016/ksutarimdoga.vi.443228
  6. Banytė, J., Brazionienė, L. and Gadeikienė, A. (2010). Ivestigation of green consumer profile: A case of Lithuanian market of eco-friendly food products. Economics and Management, 15: 374–383.
  7. Bilgen, İ. (2017). Perceived quality in organic agriculture products: A research on the consumers in Istanbul. The Turkish Online Journal of Design, Art and Communication, 7(4): 678–685. https://doi.org/10.7456/10704100/013
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Ayrıntılar

Birincil Dil

İngilizce

Konular

Tarımsal Yönetimde Pazarlama

Bölüm

Araştırma Makalesi

Erken Görünüm Tarihi

21 Mayıs 2024

Yayımlanma Tarihi

27 Mayıs 2024

Gönderilme Tarihi

23 Haziran 2023

Kabul Tarihi

13 Eylül 2023

Yayımlandığı Sayı

Yıl 2024 Cilt: 21 Sayı: 3

Kaynak Göster

APA
Çakmakçı, Y., Hurma, H., & Çakmakçı, C. (2024). Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning. Tekirdağ Ziraat Fakültesi Dergisi, 21(3), 634-647. https://doi.org/10.33462/jotaf.1319077
AMA
1.Çakmakçı Y, Hurma H, Çakmakçı C. Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning. JOTAF. 2024;21(3):634-647. doi:10.33462/jotaf.1319077
Chicago
Çakmakçı, Yusuf, Harun Hurma, ve Cihan Çakmakçı. 2024. “Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning”. Tekirdağ Ziraat Fakültesi Dergisi 21 (3): 634-47. https://doi.org/10.33462/jotaf.1319077.
EndNote
Çakmakçı Y, Hurma H, Çakmakçı C (01 Mayıs 2024) Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning. Tekirdağ Ziraat Fakültesi Dergisi 21 3 634–647.
IEEE
[1]Y. Çakmakçı, H. Hurma, ve C. Çakmakçı, “Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning”, JOTAF, c. 21, sy 3, ss. 634–647, May. 2024, doi: 10.33462/jotaf.1319077.
ISNAD
Çakmakçı, Yusuf - Hurma, Harun - Çakmakçı, Cihan. “Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning”. Tekirdağ Ziraat Fakültesi Dergisi 21/3 (01 Mayıs 2024): 634-647. https://doi.org/10.33462/jotaf.1319077.
JAMA
1.Çakmakçı Y, Hurma H, Çakmakçı C. Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning. JOTAF. 2024;21:634–647.
MLA
Çakmakçı, Yusuf, vd. “Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning”. Tekirdağ Ziraat Fakültesi Dergisi, c. 21, sy 3, Mayıs 2024, ss. 634-47, doi:10.33462/jotaf.1319077.
Vancouver
1.Yusuf Çakmakçı, Harun Hurma, Cihan Çakmakçı. Determination of Consumer Perceptions of Eco-Friendly Food Products Using Unsupervised Machine Learning. JOTAF. 01 Mayıs 2024;21(3):634-47. doi:10.33462/jotaf.1319077

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