Naslov
Computer model for predicting organic food consumer behavior in Croatia

Autori
Lončarić, Ružica ; Lončarić, Zdenko ; Zmaić, Krunoslav

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings I. of 4th International Congress: Aspects and Visions of Applied Economics and Informatics / Nábrádi, András ; Nagy, Adrián Szilárd ; Ildikó Orbán, Tamásné Dékán ; Fenyves, Veronika ; Lazányi, János ; Várallyai, László - Deberecen : University of Debrecen, Faculty of Agricultural Economics and Rural Development, 2009, 419-426

ISBN
978-963-9732-83-4

Skup
4th International Congress: Aspects and Visions of Applied Economics and Informatics

Mjesto i datum
Debrecen, Mađarska, 26.03.2009. - 27.03.2009

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
computer model ; organic food ; consumers’ behavior ; consumption ; prediction

Sažetak
In last 15 years Croatian agriculture tries to follow European organic movement due to increasing demand for healthy food. Increasing demand for organic food is related to consumers’ concern regarding food safety and quality as well as health and nutritional aspect of food. Survey of consumer perceptions regarding organic food was analyzed previously in Eastern Croatia on sample of 124 examinees. The questionnaire included questions regarding consumer behavior (frequency and structure of organic food consumption), consumer attitudes concerning organic food price, purchase motives, reasons which indicate negative reactions on consumers, supply satisfaction and future intentions of consumers regarding organic food. Aim of paper was to create computer model for prediction potential organic food consumption in Eastern Croatia based on survey results. The results of organic food consumers’ behavior pattern was build into the computer model. Consumers’ behavior pattern was defined considering consumer’ s gender, age, education, income, and residence place impact on present and possible purchase of organic food. The model enables prediction of changes in needs for organic food as a result of different gender, age and education inhabitants’ structure and as a consequence of detected consumers’ perception of theirs’ relation to organic food. Model could be also useful in choosing most efficient strategies in organic food marketing depending on target consumers’ segmentation groups.

Izvorni jezik
Engleski

Znanstvena područja
Poljoprivreda (agronomija), Biotehnologija, Ekonomija

POVEZANOST RADA