Vitenskapelig artikkel

Alternative methods for combining information about products, consumers and consumers' acceptance based on path modelling

Menichelli, Elena; Hersleth, Margrethe; Almøy, Trygve; Næs, Tormod

Publikasjonsdetaljer

Tidsskrift: Food Quality and Preference, vol. 31, p. 142–155, 2014

Utgiver: Elsevier

Utgave: 1

Internasjonale standardnumre:
Trykt: 0950-3293
Elektronisk: 1873-6343

Open Access: none

Lenker:
DOI

In consumer studies the collected consumer data are often of different nature (demographic variables,
attitudes and habits). Usually these data are considered all together when modelling consumer
acceptance patterns, even though there may exist interesting relations between groups of consumer
characteristics. The objective of this paper is thus to propose methodology for relating the different types
of consumer characteristics data to each other and to the consumers’ acceptance, when also product
information is available. Focus is given to the possible approaches for pre-processing and combining data
sets with different dimensions in a path modelling context. Considerations about advantages and limitations
are given. The study is general in nature and can be applied to preference mapping, conjoint analysis
and their combination. The different approaches are illustrated by data from a consumer test on
chocolate, comprising several types of information about consumers.