Green Product Consumers Segmentation Using SelfOrganizing Maps in Iran

• Main Author: Sina Siavash Moghaddam
• Format: Article
• Language: English
• Published: Islamic Azad University 2017-09-01
• Series: International Journal of Agricultural Management and Development
• Subjects: green product; Green Consumer Behavior; market segmentation; self-organizing maps
• Online Access: http://ijamad.iaurasht.ac.ir/article_531541_27bebf968d32affaaf84c0858e497bfe.pdf

This study aims to segment the market based on demographical, psychological, and behavioral variables, and seeks to investigate their relationship with green consumer behavior. In this research, self-organizing maps are used to segment and to determine the features of green consumer behavior. This was a survey type of research study in which eight variables were selected from the demographical, psychological, and behavioral dimensions. Data were gathered through researcher-made questionnaire and distributed it among the statistical population (supermarket chains in Rasht city). The sample size was 392. The result showed that among the demographical variables, age, sex, and education had a direct contribution with green consumer behavior, whereas income had an adverse relationship with that. Psychological and behavioral variables including personal values, religiosity, environmental knowledge and attitudes, and personal habits are key predictors of green consumer behavior. The resultsidentified foursegments, which were called intense greens, potential greens, selfish darks, and intense darks. Green product marketers and producers can determine the target market using the results and employ an appropriate combined marketing strategy for consumers' based on their respective features.