An Exploratory Study of Honey Consumption Preferences: Insights from a Multi-Model Approach in Kosovo

This study examines consumer behavior, preferences, and knowledge regarding honey in Kosovo to inform more effective production, marketing, and policy strategies. Data were collected from 503 respondents through an online questionnaire and analyzed using a combination of artificial neural networks (ANN), decision tree modeling (CHAID), and ordinal logistic regression. The results show a high prevalence of honey consumption, strong preference for locally produced honey, and significant variability in consumer willingness to pay (WTP) based on knowledge, income, and trusted information sources. ANN identified recommendations and product familiarity as primary predictors of WTP, while the decision tree highlighted knowledge and income as key variables for segmentation. The ordinal logistic regression confirmed the importance of perceived quality and product attributes, particularly botanical and geographical origin, in shaping purchasing decisions. The use of complementary statistical models enhanced both predictive power and interpretability. The findings highlight the crucial role of consumer education and trust cues in fostering sustainable honey markets in Kosovo.

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Publication Details

Journal
Foods
Published
2026-01-16
DOI
https://doi.org/10.3390/foods15020334
Primary Topic
Organic Food and Agriculture
Type
article
Field-Weighted Citation Impact
0.00
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article

An Exploratory Study of Honey Consumption Preferences: Insights from a Multi-Model Approach in Kosovo

Njomza Gashi, Arbenita Hasani, Oltjana Zoto, Manjola Kuliçi et al.
Foods
Organic Food and Agriculture
article

An Exploratory Study of Honey Consumption Preferences: Insights from a Multi-Model Approach in Kosovo

Njomza Gashi, Arbenita Hasani, Oltjana Zoto, Manjola Kuliçi, Salih Salihu
article en

Abstract

This study examines consumer behavior, preferences, and knowledge regarding honey in Kosovo to inform more effective production, marketing, and policy strategies. Data were collected from 503 respondents through an online questionnaire and analyzed using a combination of artificial neural networks (ANN), decision tree modeling (CHAID), and ordinal logistic regression. The results show a high prevalence of honey consumption, strong preference for locally produced honey, and significant variability in consumer willingness to pay (WTP) based on knowledge, income, and trusted information sources. ANN identified recommendations and product familiarity as primary predictors of WTP, while the decision tree highlighted knowledge and income as key variables for segmentation. The ordinal logistic regression confirmed the importance of perceived quality and product attributes, particularly botanical and geographical origin, in shaping purchasing decisions. The use of complementary statistical models enhanced both predictive power and interpretability. The findings highlight the crucial role of consumer education and trust cues in fostering sustainable honey markets in Kosovo.

FoodsVol. 15(2)
Agricultural University of Tirana (AL), University of Debrecen (HU), Innova (Hungary) (HU), University of Prishtina (XK)
Openalex Percentile: Top 86%
Organic Food and Agriculture
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