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The purpose of this paper is to describe fresh fruit consumers in Spain according to their food-related lifestyle (FRL).

A random stratified sample of 500 people, representative of the persons responsible for household food purchasing and resident in Spain, was interviewed in 2017 using a revised and adapted version of the FRL instrument (Grunert et al., 1993). Questions about fruit purchasing criteria, consumption habits and demographics were also included. Factor and cluster analysis (Ward method) yielded four segments.

The segments identified are: “Total indifference (TI)”, small segment with disinterest in extra-domestic and social consumption, nutrition and innovation; “Little time to cook, concerned about nutrition and extra-domestic consumption (LICNE)”, the largest consumers of fresh fruit who show interest in nutrition and health, but no interest in the price of products, convenience foods or liking cooking; “Cooks and preference for natural products (COOKNAT)”, the largest segment, with a medium-high consumption of fresh fruits, who are related to cooking at home, natural products and a concern for the price-quality ratio; and “Unconcerned (UNC)” presents the lowest fresh fruit consumption and shows the lowest interest in natural products and some indifference to the other criteria.

The information obtained in this study gives interesting new insights for the marketing strategies of the fresh fruit suppliers to Spain and the Food and Public Health Administrations.

This study aims to analyse the provision of knowledge‐intensive services (KIS) by technology centres based on approaches used in the literature on trade areas.

The techniques employed derive from the literature on trade areas (customer spotting and ring studies) and spatial analysis (nearest neighbour analysis, Ripley's K statistic and median centre).

The research demonstrates that there is a geographic factor in the distribution of firms associated with a technology centre and some of their characteristics depend on their proximity to such a centre. Trade areas are determined and access facilities are detected. It has also been observed how geographic proximity is coupled with functional (sector) factors in the firm‐technology centre relationship.

These findings may contribute towards strategies for locating technology centres, and may be extended to future centre networks and to the development of more efficient marketing strategies aimed at attracting and acquiring client firms.

To date, little is known about the spatial distribution of firms associated with technology centres, nor are there studies that relate the profile of user firms in relation to the distance from their premises to the technology centre. Using methodology previously applied to trade areas, this research has identified the spatial pattern of associated firms which may be of use for a variety of purposes.