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Research into store image, market positioning and store choice has mainly been carried out in supermarkets or department stores and only a limited amount in speciality retailing. This study uses conjoint analysis to examine the way consumers choose where to purchase menswear fashion clothing, based on their perception and trade‐off of four attributes ‐ price, quality, selection and staff ‐ shown to be important in previous research. The results indicate that quality was the most important attribute to the respondents in this study. The paper concludes by analysing sub‐segments of shopping preferences for customers of Next for Men, a UK fashion retailer.

Explains that in under 40 years the retailing industry in Thailand has developed from a traditional and backward industry into one that by the turn of the century may be as modern and vibrant as any in the world. However, uneven distribution of economic activity has meant that most of the major developments have taken place in Bangkok which accounts for 50 per cent of gross domestic product, but wealth and retailing activity are now spreading to the rest of the country where more than 80 per cent of the population live. Describes the diversity of Thai retailing. Explains its historical development, and outlines the differences between retailing in provincial Thailand and in Bangkok. Describes the different types of stores now being developed and the recent modernizing trends in the industry. Suggests the likely future trends in retailing over the next few years.

The purpose of this paper is to incorporate explicitly consumer heterogeneity into market response models estimated with store‐level scanner‐data.

Latent structures in market response to a product category using aggregated scanner data registered by a supermarket are identified. Specifically, latent consumer segments with diverse preferences towards brands and different responses to marketing stimuli from data consisting of daily marketing actions (i.e. price, promotions, advertising, etc.) and sales of competing brands are identified.

The existence of different latent segments with diverse preferences and response patterns to marketing stimuli were detected. More specifically, the fit of the statistical analysis for the different model possibilities made it possible to identify four market segments. It was also found that the intrinsic brand attractiveness as a measure of consumer brand preference is different between segments. Finally, the price sensitivity is also different between segments.

The time cost necessary to obtain the parameter estimates is too high, which is usual in the models estimated with iterative EM algorithms.

This work deepens one's knowledge of the identification and selection of latent market structures, specifically latent segments with different purchase patterns and behaviours. The possibility of developing the analysis with aggregated data at the store level increases the potential utility for academics and marketing managers.

Although most applications use weekly data, this proposal models daily fluctuations in sales – as a result, making it possible to obtain consumer segments based on daily changes.

The purpose of this paper is to explore how tracking of products by the use of radio frequency identification (RFID) technology may describe customer behaviour in real-time.

The study was conducted as a field experiment, where a commercially available RFID platform was deployed in the fitting rooms of a fashion retail store.

The study demonstrates an application of in-store RFID tracking to describe customer behaviour, and some practical challenges of utilising such technology. An example typology of four fitting room traits was constructed based on the data collected.

Different customer types most likely require and respond differently to attention from the personnel operating the fitting room area. By identifying customer behaviour in real-time, it is possible to deliver “best practice” shop stewardship and create a more personalised retail experience.

The study is based on real-life retail settings, rather than anecdotal management observations or economic and demographic indicators. To the best of the authors’ knowledge, few contributions combine RFID and consumer behaviour outside conceptual work or laboratory experiments.

The purpose of this paper is to compare and validate the results of two clustering methods for the segmentation of the market for prestige cosmetics in Korea, and to draw conclusions about their general practical usability.

Segmentation schemes based on scaled data collected by questionnaire from 480 female shoppers, selected by the mall intercept procedure, were analysed for validity, model fit, definability of profiles, and usability of results.

Segmentation by traditional K‐means clustering was not judged useful, whereas segments generated by the innovative alternative of mixture regression modelling had clear marketing strategy potential.

Given the single‐country and single‐market context of the study, its outcomes and implications must be generalised cautiously.

Mixture regression can make a significant contribution to the implementation of segmentation strategies based on deliverable consumer benefits, by helping academics and practitioners to better understand, explain and predict patterns of consumer behaviour.

A segmentation model with proven validity offers a sound basis for such marketing strategies as, for example, positioning.

Demonstrates the usefulness of combining retail market segmentation with competitive analysis as a very effective method to understand the dynamics of retail markets and to analyse strategic options for supermarket chains. Attempts to advance the market segmentation research by narrowing the gap between the academically oriented research on segmentation and the practical application of segmentation research. Applies the recommended methodology to a largescale investigation and discusses the empirical findings along with strategic implications for supermarket retail chain organizations.

Elder German grocery shoppers are a growing, heterogeneous, and highly relevant and attractive, but under-researched market segment. In order to understand them and their grocery shopping motivations better and target them efficiently and effectively, the purpose of this paper is to identify dimensions of their shopping motivations and segment them based on these dimensions.

In total, 26 grocery store-choice criteria were identified in a thorough literature review and focus-group interviews with 36 elder German consumers aged 65 and older. In a subsequent survey, the importance of these criteria was rated by 1,288 German shoppers of the same age group. A principal component and cluster analysis were performed to identify dimensions of store-choice criteria and segments of elder German grocery shoppers. Multivariate analysis of variance, analysis of variance and discriminant analysis were used to test for statistically significant differences between the clusters.

Basic quality considerations, shopping experience and social interaction, service and assistance, price consciousness, product orientation, convenient location and quick service and packaging requirements influence the grocery store choice of elder German consumers in decreasing order of variance explained. The cluster analysis revealed indifferent, leisure, convenience, assistance-oriented, no frills, product-oriented and service-oriented elder German shoppers, which differ in their shopping motivations statistically and significantly. These clusters are described and contrasted in detail to derive managerial implications.

This research provides the first store-choice component analysis and cluster analysis for elder German grocery shoppers. This can help food retail to reach this attractive target group more efficiently and effectively and improve the food supply of elder German consumers.

The purpose of this paper is to segment primary male grocery shoppers based on store and product attribute evaluations. A rich profile for each segment is developed. These developed contemporary shopper typologies are contrasted against earlier works.

Data of 280 male grocery shoppers was attained by a survey questionnaire. Factor analysis, cluster analysis and ANOVA were employed to develop specific segments of male shoppers.

Four distinct cohorts of male shoppers emerge from the data of eight constructs, measured by 46 items. One new shopper type, not found in earlier typology literature, emerged from this research. This shopper presented as young, well educated, at the commencement of their career and family lifecycle, attracted by a strong value offer and willingness to share the family food shopping responsibilities.

Research outcomes encourage supermarket retailers to implement targeted marketing and rationalized operational strategies that deliver on attributes of importance.

This research makes a contribution to segmentation literature and grocery retail practice in several ways. It presents the first retail typology of male supermarket shoppers, employing a cluster analysis technique. The research provides insights into the modern family food shopping behaviour of men, a channel in which men are now recognised as equal contributors. The research provides the basis for further gender comparative and cross‐contextual studies.

This study aims to investigate how narcissistic consumers perceive and respond to variations in price and store image in retail settings.

The data for this study were collected from a sample of 248 respondents who participated in an experiment with a 2 × 2 × 2 between-subjects design.

The findings show that while narcissists and non-narcissists do not differ in their perceptions of product quality, they show completely different behavioral intentions. For instance, narcissistic consumers ascribe more importance to store image than to product price, whereas price is more critical in non-narcissists’ decision-making.

Using a young sample and only one product category (i.e. clothing) may affect the generalization of the findings. The inherent drawback of experiments (i.e. gaining internal validity at the cost of external validity) is another limitation of this work.

The construct of narcissism plays a critical role in the way people evaluate products’ symbolic value and ultimately decide to purchase goods from a store which has a certain type of image, including the expected price of the merchandise. Therefore, the findings of this study have significant managerial implications for critical areas of retail business such as segmentation using narcissism, store image management and merchandise pricing.

Despite a long history in social and clinical psychology, few empirical studies have examined narcissism and its impact on consumer behavior. The present study is an attempt to address this gap in retail settings and provides insights into the joint effects of product price and store image on narcissists’ purchase behavior.

Female consumers' preferences for shopping via CD/ROM, television or catalogue versus in a specialty store were investigated. Videotaped shopping simulations were viewed by 191 subjects who selected preferred options within each of six forced‐choice pairs. Specialty store was most and television least preferred. Catalogue was most preferred among non‐store options. Fashion Opinion Leadership, Clothing Interest Inventory and Shopping Orientation measures, and demographic and open‐ended questions were used to profile and explore preference behaviour. Analysis with Chi‐Square Automatic Interaction Detector (CHAID) profiled five consumer segments. Subjects had positive and negative perceptions of each venue and believed that shopping through electronic media will be dominant non‐store options in the future.