Social Feedback Loop in the Organic Food Purchase Decision-Making Process

To ensure the food industry continues to grow, it is vital to properly understand the factors that impact the purchasing of organic food. Research offers ambiguous findings about what drives consumers to decide to purchase food labeled as organic. This study advances the current theories on organic...

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Bibliographic Details
Main Authors: Marko Ogorevc, Kaja Primc, Renata Slabe-Erker, Barbara Kalar, Miha Dominko, Nika Murovec, Tjaša Bartolj
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/10/4174
Description
Summary:To ensure the food industry continues to grow, it is vital to properly understand the factors that impact the purchasing of organic food. Research offers ambiguous findings about what drives consumers to decide to purchase food labeled as organic. This study advances the current theories on organic food-purchasing behavior, which overlook the importance of the two-way interaction of social norms and individual behavior, suggesting that the role of social norms may have been simplified. We suggest the causal processes associated with organic food decision-making involve the social feedback loop, a powerful force that takes the current state into the phase of transition. Positive feedback is key to maintaining and developing the sustainable behavior of the society, where an initial change in consumer behavior to purchase organic food is magnified when that change resounds through social norms. This is especially pronounced in Norway and Slovenia, where marketers can make more cost- and time-efficient use of persuasive messages and requests. In addition, we provide a comprehensive delineation of organic food purchase decision-making of close to 14,000 individuals from 15 countries that includes key psychosocial antecedents, along with Schwartz’s values, attitudes, social norms, perceived behavioral control, and intentions. Using a mixed-methods approach (i.e., statistical matching, spatial econometrics, structural equation modeling), the present paper thus intends to add to the understanding of environmentally friendly purchase behavior beyond unidirectional and single-theory relationships.
ISSN:2071-1050