Agricultural product development using multidimensional and multicriteria analyses: The case of wine

Multicriteria analysis and multidimensional statistical methods can collaborate and offer new prospects in the fields of decision support and management in general. This paper presents a survey-based methodology which combines a multicriteria model for the consumer's preference analysis as well as classical data analysis models to design agricultural products. The new products are developed in such a way that they eventually achieve the maximum possible market share. A real study for the Athenian wine market is presented for illustration. The paper concludes with some further recommendations.