Consumer decision-making styles in food purchase

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

This study sets out to identify consumer shopping behaviour and classify consumers into segments based on their food shopping behaviour. Data were collected from a random sample of 490 respondents. The sample was drawn proportionate to population size from seven southeastern states of the U.S. A modified version of Consumer Style Inventory (CSI), which consisted of 30 items taken from Sproles and Kendall (1) and 13 items from Tai (2); Hou and Lin (3) was used to collect the data. Factor analysis identified 11 dimensions that affect food shopping behaviour. Subsequent cluster analysis isolated four distinct consumer segments: labelled as diverse (47.98%), value-loyal (16.84%), emotional (21.75%) and high conscious (13.43%) consumers. These findings support targeting educational programs to encourage adoption of healthier shopping and dietary habits.
Original languageEnglish
Pages (from-to)27-30
Number of pages4
JournalAgro Food Industry Hi-Tech
Volume24
Issue number4
StatePublished - Jul 1 2013

Keywords

  • Cluster analysis
  • Consumer behaviour
  • Consumer decision-making style
  • Factor analysis
  • Food shopping

Fingerprint

Dive into the research topics of 'Consumer decision-making styles in food purchase'. Together they form a unique fingerprint.

Cite this