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  • 标题:Consumer Preference Heterogeneity Evaluation in Fruit and Vegetable Purchasing Decisions Using the Best–Worst Approach
  • 本地全文:下载
  • 作者:Stefano Massaglia ; Danielle Borra ; Cristiana Peano
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2019
  • 卷号:8
  • 期号:7
  • 页码:1-16
  • DOI:10.3390/foods8070266
  • 出版社:MDPI Publishing
  • 摘要:This study assesses consumer preferences during fruit and vegetable (FV) sales, considering the sociodemographic variables of individuals together with their choice of point of purchase. A choice experiment was conducted in two metropolitan areas in Northwest Italy. A total of 1170 consumers were interviewed at different FV purchase points (mass retail chains and open-air markets) using a paper questionnaire. The relative importance assigned by consumers to 12 fruit and vegetable product attributes, including both intrinsic and extrinsic quality cues, was assessed by using the best–worst scaling (BWS) methodology. The BWS results showed that “origin”, “seasonality”, and “freshness” were the most preferred attributes that Italian consumers took into account for purchases, while no importance was given to “organic certification”, “variety”, or “brand”. Additionally, a latent class analysis was employed to divide the total sample into five different clusters of consumers, characterized by the same preferences related to FV attributes. Each group of individuals is described on the basis of sociodemographic variables and by the declared fruit and vegetable point of purchase. This research demonstrates that age, average annual income, and families with children are all discriminating factors that influence consumer preference and behavior, in addition to affecting which point of purchase the consumer prefers to acquire FV products from.
  • 关键词:best–worst scaling; cluster analysis; consumer preferences; fruits and vegetables best–worst scaling ; cluster analysis ; consumer preferences ; fruits and vegetables
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