Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 427098
Title Nutrigenomics-based personalised nutritional advice: in search of a business model?
Author(s) Ronteltap, A.; Trijp, J.C.M. van; Berezowska, A.; Goossens, Jo
Source Genes & Nutrition 8 (2013)2. - ISSN 1555-8932 - p. 153 - 163.
DOI https://doi.org/10.1007/s12263-012-0308-4
Department(s) LEI Consumer & behaviour
LEI Consument and Behaviour
Marketing and Consumer Behaviour
WASS
Publication type Refereed Article in a scientific journal
Publication year 2013
Keyword(s) consumer acceptance - mass customization - future - education - foods
Abstract Nutritional advice has mainly focused on population-level recommendations. Recent developments in nutrition, communication, and marketing sciences have enabled potential deviations from this dominant business model in the direction of personalisation of nutrition advice. Such personalisation efforts can take on many forms, but these have in common that they can only be effective if they are supported by a viable business model. The present paper takes an inventory of approaches to personalised nutrition currently available in the market place as its starting point to arrive at an identification of their underlying business models. This analysis is presented as a unifying framework against which the potential of nutrigenomics-based personalised advice can be assessed. It has uncovered nine archetypical approaches to personalised nutrition advice in terms of their dominant underlying business models. Differentiating features among such business models are the type of information that is used as a basis for personalisation, the definition of the target group, the communication channels that are being adopted, and the partnerships that are built as a part of the business model. Future research should explore the consumer responses to the diversity of “archetypical” business models for personalised nutrition advice as a source of market information on which the delivery of nutrigenomics-based personalised nutrition advice may further build.
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