Consumption Patterns and Perception Analyses of Hangwa
2012
Kwock, C.G., Korea Food Research Institute, Seongnam, Republic of Korea | Lee, M.A., Korea Food Research Institute, Seongnam, Republic of Korea | Park, S.H., Korea Food Research Institute, Seongnam, Republic of Korea
Hangwa is a traditional food, corresponding to the current consumption trend, in need of marketing strategies to extend its consumption. Therefore, the purpose of this study was to analyze consumers' consumption patterns and perception of Hangwa to increase consumption in the market. A questionnaire was sent to 250 consumers by e-mail from Oct 8~23, 2009 and the data from 231 persons were analyzed in this study. Statistical, descriptive, paired samples t-test, and importance-performance analyses were conducted using SPSS WIN 17.0. According to the results, Hangwa was purchased mainly 'for present' (39.8%) and the main reasons for buying it were 'traditional image' (33.3%) and 'taste' (22.5%). When importance and performance of attributes considered in purchasing Hangwa were evaluated, performance was assessed to be lower than importance for all attributes. The attributes in the first quadrant with a high importance and a high performance were 'a sanitary process', 'a rigorous quality mark' and 'taste', which were related with quality of the products. In addition, those with a high importance but a low performance were 'popularization through advertisement', 'promotion through mass media', 'conversion of thought on traditional foods', 'a reasonable price' and 'a wide range of price'. In conclusion, Hangwa manufacturers need to diversify products and extend the expiration date based on technologies to promote its consumption. In terms of price, Hangwa should become more available by lowering the price barrier for consumers who are sensitive to price.
Afficher plus [+] Moins [-]Mots clés AGROVOC
Informations bibliographiques
Cette notice bibliographique a été fournie par Korea Agricultural Science Digital Library
Découvrez la collection de ce fournisseur de données dans AGRIS