Consumer-Oriented New Product Development in Fruit Flavour Breeding : A Bayesian Approach

Abstract

Taking consumer quality perceptions into account is very important for new-fruit product development in todays competitive food market. To this end, consumer-oriented quality improvement models like the Quality Guidance Model have been proposed. Implementing such mod- els in the agro industry is challenging. We propose the use of Bayesian Structure Equation Modelling for parameterizing the Quality Guid- ance Model, allowing for the integration of elicited expert knowledge. Such casual modelling would furnish important insights for determining the opti- mal fruit product in terms of consumer avour-quality perceptions. In the context of tomato breeding, where we have data about metabolites, sensory- panel judgments, and consumer avour-quality perceptions, we estimated a benchmark Bayesian SEM using non-informative priors, starting from an initial causal model derived from the data with a score-based Bayesian Network learning algorithm. The results so far have given some in- dication of the importance of accounting for consumer heterogeneity in the modeling process.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 90,616

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Can designing and selling low-quality products be ethical?Willem Bakker & Michael C. Loui - 1997 - Science and Engineering Ethics 3 (2):153-170.
Can designing and selling low-quality products be ethical?I. I. Bakker & Michael C. Loui - 1997 - Science and Engineering Ethics 3 (2):153-170.
Consumer Ethics Research: Reframing the Debate about Consumption for Good.Johannes Brinkmann & Ken Peattie - 2008 - Electronic Journal of Business Ethics and Organization Studies 13 (1):22-31.

Analytics

Added to PP
2015-05-27

Downloads
7 (#1,201,127)

6 months
1 (#1,040,386)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references