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The purpose of this paper is to derive a comprehensive model with integrated dimensions of trait constructs to understand the shoppers’ dispositional traits in consumption. This study endeavors to gain empirical validation of a motivational network of shoppers’ traits in consumption as well as to ascertain different shoppers’ typology from the configurations of personal factor attributes.

Store-intercept method was used to collect data from a sample of 600 apparel adult shoppers at five shopping malls in Klang Valley, Malaysia. The factor structure of personal factors was achieved using confirmatory factory analysis. The hierarchical and non-hierarchical cluster analysis was employed to develop the shoppers’ typology.

A relatively good fit in confirmatory factor analysis validates the applicability of the conceptualized personal factor attributes measurement model. The constitution of personal factor attributes results in three shoppers typology of Confident, Enthusiastic Shoppers; Moderate, Pragmatic Shoppers and Self-Confined, Apathetic Shoppers.

The study provides an understanding of the personal attribute factors and disseminates insightful information about profile of shoppers’ typology. Accordingly, the implementation of the strategy which involving the personality and psychological desires of the consumers, is now possible.

This paper stipulates new insights to discern other dimensions in personality traits to examine the personal factor attributes, by considering the elemental traits, compound traits, situational traits and surface traits in a holistic manner. The findings of this study advance the knowledge on personal factor attributes that shape shopping behavior along with practical applications.

Hypermarket is the most successful amongst organised retail formats in India. The purpose of this paper is to identify segments of hypermarket shoppers based on shopping motivation. The study profiles the identified segments on demographic characteristics and shopping outcomes, and compares the shopping motivation of hypermarket consumers with that of traditional store shoppers.

The study involved a survey of 201 actual shoppers in a hypermarket and that of 117 actual shoppers in 20 traditional stores. Principal components analysis of the motives for shopping at hypermarket and traditional store identified the respective dimensions of shopping motivation. Cluster analysis of the factor scores obtained on shopping motivation at hypermarket revealed the typology of hypermarket shoppers. Chi-square test and MANOVA were used to profile the identified segments of hypermarket shoppers on demographic characteristics and shopping outcomes respectively.

Results revealed different dimensions of motivation to shop at the hypermarket and traditional store and four types of hypermarket shoppers were identified: utilitarians, maximisers, browsers and enthusiasts. The utilitarians are motivated by functional benefits such as the price and variety of products; the maximisers seek functional as well as recreational benefits; the browsers are high on social motivation; and the enthusiasts are high on all dimensions of shopping motivation. These segments showed overall significant differences on demographic characteristics and shopping outcomes.

The proposal for allowing FDI in multi-brand retail in India, a rapidly emerging market for global retail players, is at an advanced stage of policy making. Many national and multi-national retailers are in the process of expansion in India. This study adds to their understanding of Indian consumers. Based on the identified typology, the study suggests different strategies to target different segments of hypermarket shoppers.

The study contributes to the growing field of cross-cultural research on shopping motivation by highlighting the typology of Indian hypermarket shoppers.

Grounded on approach/avoidance behaviour theory, the purpose of this paper is to develop a typology of grocery shoppers based on the concomitant perceived advantages and disadvantages of shopping online and in store for a single cohort of consumers who buy groceries in both channels.

A survey design was employed using a sample of 871 UK shoppers who had purchased groceries online and offline. The survey instrument contained items that measured the perceived advantages and disadvantages of grocery shopping online, and items relating to the perceived advantages and disadvantages of grocery shopping in traditional supermarkets. Items were selected from the extant literature and subjected to content and face validity checks. Cluster analysis was used to develop typologies of online and offline grocery shoppers. The inter-relation between the two typology sets was then examined.

The results of the research provide several insights into the characteristics, perceptions and channel patronage preferences of grocery shoppers. In particular, profiling e-grocery shoppers on the basis of their concomitant perceptions of shopping online and in store suggests that the choice of whether to shop online or in store may be driven not by the perceived advantages of one channel vs the other, but by the desire to avoid the greater disadvantages of the alternative. These perceptions differ somewhat between different consumer groups.

This study makes a noteworthy contribution to the internet and general shopping literature by providing a profile of grocery shoppers based on their concomitant and often conflicting perceived advantages and disadvantages of shopping online and their perceived advantages and disadvantages of shopping in traditional supermarkets. The use of a single cohort of consumers overcomes the bias in previous studies that employ separate cohorts of online and offline shoppers and reveal important insights into the complex perceptions and behaviours of multichannel grocery shoppers.

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.

Although trade shows are a significant part of the B2B communications mix, academic research in the area is sparse. To successfully manage this medium, a careful understanding of attendee behavior on the trade show floor is necessary. Drawing from the rich literature on shopper typologies in retailing (which parallels the trade show atmosphere), this paper sets out to develop a set of attendee metrics that show organizers can track regularly.

Through latent class clustering on unique attendee‐level data from a popular computer trade show, five segments of attendee activity are uncovered that differ along dimensions such as the attendee's involvement and focus and the exhibitor's booth size, booth accessibility, and product display.

Significant heterogeneity is found in attendee activities on the show floor. There are interesting similarities and differences between the retail and B2B shopper. Implications for trade show organizers and exhibitors are discussed and directions for future research suggested.

Since the data employed are becoming more readily available, the hope is that managers and academic researchers might find the suggested metrics and segmentation approach useful in advancing a deeper understanding of the trade show attendee.

The spread of coronavirus disease (COVID-19) has drastically changed the entire market structure and shopping behaviors across the world. While shoppers rushed toward e-commerce platforms during the pandemic, the key debate that rose was on how this behavior will evolve post COVID-19. The purpose of this study was to explore the different categories of e-commerce platforms’ users and propose a distinctive customer typology in the era of the COVID-19 pandemic.

An exploratory qualitative research design was adopted because of the novelty of the subject. In total, 43 participants were interviewed, including 27 consumers and 16 experts in the field of e-commerce.

Based on the findings, this study distinguishes between two stages of e-commerce usage during the pandemic. Furthermore, this study identifies four key typologies of e-commerce shoppers that are expected to form at the end of the coronavirus: duty-bound, e-watcher, makeshift and onli-vorous shoppers. The characteristics and businesses strategies pertaining to each of the identified groups are discussed.

To the best of the authors’ knowledge, this research is among the first to identify the different stages, while proposing an innovative typology of e-commerce platform post COVID-19. This study also offers useful recommendations to deal with similar future crises.

The paper aims to investigate materialism as one of the retail shopping motives along with utilitarian/hedonic motivations in the Indian context. It aims to identify the key shopping motivations, which explain the shopping value in the context of malls. Furthermore, it intends to develop a shopping motivations-based typology of Indian mall shoppers, and to profile the motivational and demographic characteristics of the discerned segments.

The data were collected through a mall intercept survey. The shopping motivations were identified through literature, and established scales were utilised to collect data. Exploratory factor analysis was used to understand the underlying structure of mall shopping motives. Hierarchical and K-means clustering were used to cluster the consumers. Additionally, ANOVA along with post hoc tests were used to explore the mean differences between the various clusters. Cross-tabulation along with the chi-square statistic was used to understand the demographic characteristics of the clusters.

Indian mall shoppers are motivated by hedonistic, materialistic and utilitarian motives. They can be primarily classified into four clusters, namely, balanced shoppers, materialist shoppers, hedonistic shoppers and value shoppers.

Knowledge of distinct consumer segments will aid marketers in formulating marketing and promotional strategies for augmenting mall footfalls.

Although past research has accentuated hedonic and utilitarian motivations as the primary shopping motives, little research has been conducted to examine materialism as a shopping motive. Rise of materialism in the emerging Indian market has metamorphosed the consumer behaviour. The study examines the utilitarian, hedonistic and materialistic dimensions of shopping and unfolds a typology of mall shoppers. It contributes to the repository of cross-national research on shopping behaviour by unravelling the shopping motivations of Indian consumers.

The objective of the study is to describe and analyse different tourist shopping typologies based on their motives for visiting a shopping destination well known for its low prices.

The data were collected by means of structured questionnaires administered to tourists visiting the Swedish destination. The survey instrument measured constructs designed to understand shopping motivation and feelings experienced during the course of shopping.

Two distinct tourist shopping typologies were found, based on a tourist's primary purpose in travelling, and designated “Follow the Plan” and “Go with the Flow”. The present study proposes the use of a theoretical continuum that takes into account feelings experienced at a low‐priced destination and consumer shopping motivations.

This study contributes to the existing literature on tourism shopping by suggesting typologies built on feelings experienced and shopping motivations, thus providing new insights on tourist shopping typologies found at a low‐price destination. Results are not general for any low‐priced destination, thus further research is needed in other destinations as well.

This article aims to examine the online buying behavior among a group of Internet users. Based on a sample of over 3,700 Internet users, this study explores their information‐seeking patterns as well as their motivations and concerns for online shopping. Factor analysis and cluster analysis were used to classify the respondents into six types of online shoppers. Coupled with their demographic information and actual buying behavior, it was possible to constitute a distinct profile for each of the segments. Discriminant analysis was also conducted to seek out the important attitudinal variables that differentiated the various clusters of online shoppers. The implications of such classification are also discussed.

This paper aims to verify the hypothetical relationships between antecedent and consequence variables of consumer's shopping experiences based on an experiential typology advocated by Schmitt.

First, the study takes a holistic view of shopping experiences by adopting three experiential components (sensory, affective, and rational) with a view to uncovering the roles of antecedent (shopping motives) and consequence (impulse buying) of shopping experiences. Specifically, the study seeks to affirm the effects of shopping motives on shopping experiences for three types of retail store (department store, discount store, and internet store) and two product types (perfume and detergent). Second, the study confirms whether store type and product type influence the kind of experience preferred by shoppers and verifies whether types of product and store moderate the relationship between shopping motives and shopping experiences. Thirdly, the study investigates the effects of shopping experiences on impulse buying, with special attention given to the role of store atmospherics.

The study found that shopping motives had significant effects on shopping experiences. Product‐based shopping motive exerted greater significant influence on shopping experiences than experience‐based motive. The result showed that product type (detergent) was a significant moderator between experience‐based shopping motive and sensory experience. And, both department store and discount store were found to significantly moderate between experience‐based motive and affective experience. It also found that affective shopping experience boosted impulse buying and rational experience decreased it significantly at department store. However, no consistent pattern of influence was detected for the effects of atmospherics on impulse buying when examined by store type.

The study results will offer important retailing implications which accommodate customers' experiential needs that are not only consumer‐centric, but also context specific. The study reflects the growing recognition of the role of sensory stimuli, as they were found to influence advertisement and brand effectiveness. Also, antecedents of experiential shopping in relation to its impact on impulse buying have not been fully explored in the past.