ABSTRACT
Purpose>Organic food market has grown rapidly on a global level and so is the interest of customers. The present paper ranks the factors and sub-criteria which are taken into consideration while making organic purchase decisions resulting in understanding the behaviour of consumers.Design/methodology/approach>The present paper considered a sample of 550 respondents in the area of Punjab. Fuzzy AHP technique was applied to understand the key factors and sub-criteria which play a major role in organic food purchase decisions. The paper is empirical and descriptive in nature. The factors considered for the study include price, consumer knowledge, trust, attitude, behavioural intentions, subjective norms, perceived personal relevance and perceived consumer effectiveness.Findings>The three major influential factors include price, trust and attitude ranked in the same order of preference which majorly affects the purchase decisions and talking about sub-criteria the three major criteria to purchase organic food include: “Price plays a significant role in purchase decisions (P2)”, “Organic food keeps me fit and healthy (A1)” and “Organic food intake makes me feel energetic (A2)”.Research limitations/implications>The present paper is limited to the area of Punjab and majorly eight factors have been taken into consideration. Further research can be explored on broader geographical and cultural areas with new dimensions in criteria and sub-criteria.Practical implications>The findings of this paper will surely help the marketers to understand the behavioural intentions and preferences of the customers. Accordingly, they will strategize the policies to convert organic food market into a niche market with a high growth rate.Originality/value>The existing literature explored various key factors. However, the present study comes up with ranking to the factors according to their priority in purchase decisions. This will definitely help marketers, business houses, practitioners and academicians about the key factors which affect purchase decisions, and it will surely add incredible knowledge into the existing database.