Cited by 157Organic Food and AgricultureConsumer Attitudes and Food LabelingSensory Analysis and Statistical Methods

Social identification, social representations, and consumer innovativeness in an organic food context: a cross-national comparison.

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Bartels, Jos, Reinders, Machiel J.·2010·Food Quality and Preference

Abstract

The aim of this study was to compare the role of (1) demographic characteristics, (2) domain-specific innovativeness, (3) social representation of new foods, and (4) social identification on the adoption of new organic food products. Three studies in the United States (N = 1001), the United Kingdom (N = 1010), and Germany (N = 961) show that social identification is an important predictor of organic food consumption aside from domain-specific innovativeness. The influence of social representation components differs between countries, and demographics are less important predictors of organic food consumption behaviour. This study shows that the relationship between an individual and his/her social environment as explained by social identification is at least as important as domain-specific innovativeness in predicting new product adoption. In addition, comparing the predictive ability of these constructs in a cross-national context brings added value to current knowledge on the adoption of new foods. Implications and directions for future research are described.

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Crossref · 10.1016/j.foodqual.2009.08.016

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Authors
Bartels, J., & Reinders, M. J.
Affiliations
Wageningen University & Research (NL)
Corresponding author
Bartels, Jos
Venue
Food Quality and Preference
Publisher
Elsevier BV
Published
2010-06
Volume
21
Issue
4
Pages
347-352
ISSN
0950-3293 (ISSN-L)
OpenAlex
W2019497618
Cited by
157
References
56
Citations by year
2026: 4 · 2025: 12 · 2024: 9 · 2023: 11 · 2022: 16 · 2021: 16 · 2020: 13 · 2019: 10 · 2018: 10 · 2017: 12 · 2016: 9 · 2015: 13 · 2014: 7 · 2013: 6 · 2012: 6
FWCI
3.64
Type
journal article
Language
en
Open access
Locations
  • Food Quality and Preference (publishedVersion)
  • Socio-Environmental Systems Modeling (acceptedVersion)
  • Socio-Environmental Systems Modeling (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Organic Food and Agriculture
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Consumer Attitudes and Food Labeling
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Sensory Analysis and Statistical Methods
Keywords
social identification, social representations, consumer innovativeness, organic food consumption, cross-national comparison, demographic predictors, consumer behavior, United States, United Kingdom, Germany

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