Organic food consumption: A multi-theoretical framework of consumer decision making

Gabriella Vindigni, Marcus Janssen, Wander Jager

Research output: Contribution to journalArticle

62 Citations (Scopus)

Abstract

An approach is introduced to combine survey data with multi-agent simulation models of consumer behaviour to study the diffusion process of organic food consumption. This methodology is based on rough set theory, which is able to translate survey data into behavioural rules. The topic of rule induction has been extensively investigated in other fields and in particular in learning machine, where several efficient algorithms have been proposed. However, the peculiarity of the rough set approach is that the inconsistencies in a data set about consumer behaviour are not aggregated or corrected since lower and upper approximation are computed. Thus, we expect that rough sets theory is suitable to extract knowledge in the form of rules within a consistent theoretical framework of consumer behaviour.

Original languageEnglish (US)
Pages (from-to)624-642
Number of pages19
JournalBritish Food Journal
Volume104
Issue number8
DOIs
StatePublished - Sep 1 2002
Externally publishedYes

Fingerprint

Organic Food
consumer behavior
organic foods
food consumption
decision making
Decision Making
artificial intelligence
simulation models
extracts
Consumer Behavior
Consumer behaviour
Organic food
Theoretical framework
Consumer decision making
Food consumption
Surveys and Questionnaires
Rough set theory
Survey data
methodology

Keywords

  • Consumer behaviour
  • Decision making
  • Modelling
  • Organic food
  • Simulation

ASJC Scopus subject areas

  • Food Science

Cite this

Organic food consumption : A multi-theoretical framework of consumer decision making. / Vindigni, Gabriella; Janssen, Marcus; Jager, Wander.

In: British Food Journal, Vol. 104, No. 8, 01.09.2002, p. 624-642.

Research output: Contribution to journalArticle

Vindigni, Gabriella ; Janssen, Marcus ; Jager, Wander. / Organic food consumption : A multi-theoretical framework of consumer decision making. In: British Food Journal. 2002 ; Vol. 104, No. 8. pp. 624-642.
@article{18ee9d15c3af44dab3b55d62bf90b83e,
title = "Organic food consumption: A multi-theoretical framework of consumer decision making",
abstract = "An approach is introduced to combine survey data with multi-agent simulation models of consumer behaviour to study the diffusion process of organic food consumption. This methodology is based on rough set theory, which is able to translate survey data into behavioural rules. The topic of rule induction has been extensively investigated in other fields and in particular in learning machine, where several efficient algorithms have been proposed. However, the peculiarity of the rough set approach is that the inconsistencies in a data set about consumer behaviour are not aggregated or corrected since lower and upper approximation are computed. Thus, we expect that rough sets theory is suitable to extract knowledge in the form of rules within a consistent theoretical framework of consumer behaviour.",
keywords = "Consumer behaviour, Decision making, Modelling, Organic food, Simulation",
author = "Gabriella Vindigni and Marcus Janssen and Wander Jager",
year = "2002",
month = "9",
day = "1",
doi = "10.1108/00070700210425949",
language = "English (US)",
volume = "104",
pages = "624--642",
journal = "British Food Journal",
issn = "0007-070X",
publisher = "Emerald Group Publishing Ltd.",
number = "8",

}

TY - JOUR

T1 - Organic food consumption

T2 - A multi-theoretical framework of consumer decision making

AU - Vindigni, Gabriella

AU - Janssen, Marcus

AU - Jager, Wander

PY - 2002/9/1

Y1 - 2002/9/1

N2 - An approach is introduced to combine survey data with multi-agent simulation models of consumer behaviour to study the diffusion process of organic food consumption. This methodology is based on rough set theory, which is able to translate survey data into behavioural rules. The topic of rule induction has been extensively investigated in other fields and in particular in learning machine, where several efficient algorithms have been proposed. However, the peculiarity of the rough set approach is that the inconsistencies in a data set about consumer behaviour are not aggregated or corrected since lower and upper approximation are computed. Thus, we expect that rough sets theory is suitable to extract knowledge in the form of rules within a consistent theoretical framework of consumer behaviour.

AB - An approach is introduced to combine survey data with multi-agent simulation models of consumer behaviour to study the diffusion process of organic food consumption. This methodology is based on rough set theory, which is able to translate survey data into behavioural rules. The topic of rule induction has been extensively investigated in other fields and in particular in learning machine, where several efficient algorithms have been proposed. However, the peculiarity of the rough set approach is that the inconsistencies in a data set about consumer behaviour are not aggregated or corrected since lower and upper approximation are computed. Thus, we expect that rough sets theory is suitable to extract knowledge in the form of rules within a consistent theoretical framework of consumer behaviour.

KW - Consumer behaviour

KW - Decision making

KW - Modelling

KW - Organic food

KW - Simulation

UR - http://www.scopus.com/inward/record.url?scp=84986059613&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84986059613&partnerID=8YFLogxK

U2 - 10.1108/00070700210425949

DO - 10.1108/00070700210425949

M3 - Article

AN - SCOPUS:84986059613

VL - 104

SP - 624

EP - 642

JO - British Food Journal

JF - British Food Journal

SN - 0007-070X

IS - 8

ER -