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The purpose of this study is to investigate older shopper behavior in a retail environment. The study focused on how the environment elements of supermarket stores influence older customers to interact with other customers when they shop for groceries.

Various qualitative research techniques were undertaken, including interviews with retail architecture experts, store employees, a psychologist and a gerontologist; in addition, five interviews followed by three focus groups were conducted with older shoppers in Brazil.

Customer-to-customer interactions that are related to the environment elements of supermarkets tend to influence the shopping experience of the older shoppers, which has an impact on satisfaction. Although some customers may value social contact, some interactions can involve discomfort and embarrassment.

The study sheds light on the understanding of the influence of the environment elements of supermarket stores on customer-to-customer interactions, and it proposes such interactions to be a relevant strategy that is used by older customers to maximize their satisfaction, although such strategies can also lead to dissatisfaction.

The findings provide insights regarding the specific needs of older customers in a supermarket context, associated with the design and ambient elements of the store environment, which can be valuable for retailers and policy-makers.

Considering the limited understanding of older shoppers and their experiences, this study provides a thorough understanding of how the retail environment can influence customer-to-customer interactions that involve older shoppers. Moreover, the study captures how interactions, which are influenced by the retail environment, can result in dissatisfaction; however, such interactions can also be used by older customers to modify their satisfaction with the shopping experience.

This research aims to explore the shopping behaviour and needs and wants of the over 55s market. Retail spaces have been most concerned with targeting the young, but the growing importance of the older segment now dictates that retail environments must increasingly communicate with older shoppers.

Semi‐structured interviews were conducted with senior executives from the retail property industry. Focus groups were conducted with older shoppers to explore their perceived needs and wants.

Key findings include the need to use “perceived age” rather than chronological age in determining marketing strategies. The importance of shopping as a means of socialisation and a leisure pursuit was emphasised by older consumers and that they see themselves as experienced, astute shoppers who seek quality and service.

The heterogeneity of the mature market was highlighted; outlook and lifestyles of older consumers are likely to continue to change with successive generations. This indicates the need for continued research in this field to fully understand the needs and wants of a diverse and important market segment.

Findings are evaluated in the context of previous research to draw out implications and potential actions points for the retail and shopping place industry, specifically to create aspirational shopping spaces for older shoppers and use targeted brand management to communicate effectively.

The paper provides insights into the needs and wants of older shoppers and highlights that while this group values the shopping environment for social and leisure usage, retailers and shopping places needs to better understand and tailor their offer to benefit from the growing importance of the older shopper.

This study aims to explore the impact of hedonic shopping motivations (HSM) and supermarket attributes (SMA) on shopper loyalty (SLO).

A sample of 608 supermarket shoppers in Ho Chi Minh City, Vietnam was surveyed to test the model. Structural equation modeling was used to analyze the data.

It was found that SMA and HSM had positive effects on SLO. It was also found that the impact of hedonic motivations on SLO was different between the younger and older, as well as lower and higher income groups of customers. However, no such difference was found between female and male shoppers.

A major limitation of this study was the use of a sample drawn from one transitional market. Cross‐national samples will be a direction for further research. Also, the study focuses on attitudinal loyalty. Behavioral loyalty should be taken into account in future research.

The findings suggest that the supermarket managers showed concentrate their positioning strategies not only on the utilitarian dimension but also on the hedonic motivations to stimulate SLO, especially for older and higher income segments of customers.

The major contribution of the study is to empirically examine the role of hedonic motivations in SLO in Vietnam, a transitional market.

Describes an experiment conducted comparing the effects of background and foreground music on clothing store shoppers. Concludes that choosing to play store music solely to satisfy customers′ preferences may not be the optimal approach; instead music should be varied across areas of a store that appeal to different‐aged customers.

The purpose of this paper is to explore consumer patronage of extreme value retailers in the USA.

The paper employs a sample generated from Retail Forward panel data (n=1,107) to explore consumer patronage of extreme value retailers. Descriptive statistics and decision tree analysis chi‐square automatic interaction detector is used to evaluate the data.

The paper examines extreme value shoppers based on patronage frequency, expenditures, and primary reason for shopping in the extreme value format. Results suggest that although patronage frequency of extreme value stores is not increasing, expenditures for food/household essentials are increasing. Demographic characteristics (income and age) are revealed as predictors of the primary reason for patronizing the format.

Generalizations of the findings of this paper to markets outside the USA are limited due to the differences in consumers and retail formats available in various countries. Future research could investigate additional patronage motives of extreme value shoppers, predict propensity to shop in the format, and compare changes in the customer base over time as a response to changing economic conditions.

The findings of this paper provide extreme value retailers with information on patronage frequency, expenditure, and patronage motivations among extreme value shoppers. The results offer support for the development of competitive strategies within the extreme value segment. As competition in the retail industry continues to evolve and new retail formats emerge, understanding shoppers' reasons for patronizing extreme value retailers will be critical to performance.

This paper is unique because of the lack of attention to extreme value shoppers in the extant literature.

Research shows that store image is an important component of a consumer’s store choice and use of a store environment. Most of this research ignores how store image might vary across different consumer segments. Examines the impact of age on final consumers’ perceptions of retail store image. Reveals that shopper age significantly affects perceptions of store image. Younger consumers feel more positive about both store characteristics and salesperson attributes than do older shoppers. Retailers employing store image research should be mindful of how the age of different consumers could affect their findings.

This study aims to explore patterns in e‐tail spending across different demographic groups and to predict which households are the most frequent shoppers and highest spenders. Further, it aims to investigate which households are least likely to purchase from unfamiliar online stores.

Using a random sample of Florida households, the study is the first to use probit and ordered probit models to study Internet purchasing behavior.

Younger, college educated, higher income households living in suburban, rural and small towns spend and shop the most online. Caucasians purchase online more often than African Americans and Hispanics but spend about the same amount. The study also finds that male, Hispanic, college educated and younger consumers are more willing to purchase from unfamiliar online stores.

This study provides new evidence on factors affecting household online spending and buying decisions. Previous studies have not used an ordered probit to model different levels of spending and this new specification provides information about which demographic groups are the most (or the least) frequent buyers as well as which demographic groups are the highest (or the lowest) e‐tail spenders. This study also investigates which demographic groups are most likely to shop only at stores with whom they are already familiar.

To classify internet users into holiday shopper and non‐shopper segments, and to profile the demographic, psychographic, and computer use characteristics of each segment.

Self‐report data come from a national US sample of online internet users. Segments are customer revealed using traditional cluster analysis. Lifestyle measures are reduced to higher order measures using factor analysis. Profiles are analyzed via descriptive statistics, graphs, and radar charts.

Six important segments are identified in the data. Three of the segments characterize customers who resist online shopping, even though they engage in other online activities. Security fears and technological incompetence typically inhibit these users from engaging in electronic exchange. Some internet users simply choose not to shop online. Three of the segments describe active e‐shoppers who are driven by a unique desire to socialize, minimize inconvenience, and maximize value.

Data come from self‐report questionnaires administered and collected electronically through the internet. Focus is placed on holiday gift buying. Since, holiday shopping is very important to e‐retailers, results are managerially interesting, but might not be indicative of other shopping periods.

To be successful, e‐retailers must understand those things that motivate and inhibit customer online shopping. Marketing activities targeted at reticent e‐shoppers should focus on benefits, guarantee safeguards and facilitate technical literacy. Service, value, and online ambiance should be carefully tailored to meet the desires and expectations of each customer type.

The study is a replication and extension of earlier online studies which are summarized in the reviewed literature.

In an emerging market, understanding shoppers' behavior in an online market is essential to developing online retail strategies. This research study examines the effects of intrinsic factors, namely, perceived utilitarian, hedonic value, materialism, fashion interest and enjoyment, on impulsive online shopping with mediating role of trust and online shopping attitude in the Indian emerging market.

Data are collected from 443 Indian respondents, using purposive and snowball sampling. The data were analyzed using the IBM Statistical Product and Service Solutions (SPSS) and Analysis of Moment Structures (AMOS) package using structural equation modeling.

The results showed that perceived utilitarian, hedonic value, materialism and enjoyment factors significantly impacted perceived trust and online shopping attitude, but fashion interest had no effect. Mediating factors positively impacted impulsive online shopping and showed a significant association between intrinsic factors and impulsive online shopping.

The geographical area of study was limited to only India. Consequently, the findings and conclusions of the study had their limits. The research used the information continuum with a purposive and snowball approach that does not necessarily generalize the findings of the analysis. This work looked at factors stimulating the impulsive online shopping pattern of Indian shoppers in an emerging market.

This research would help e-retailers develop new strategies and plans to increase sales volume and create strong relationships with online customers by providing trustworthiness and security in buying practices.

This study helps to understand the consumer impulsive buying during coronavirus disease 2019 (COVID-19), and it helps e-retailers to adopt a new online store to draw the attention of the consumers and enhance their online sales.

In this COVID-19 situation, this study explores the inherent factors influencing impulsive online shopping in the emerging Indian market. As a result, it contributes to visual identity literature by expanding the field of impulsive online shopping behavior.

The internet has become mainstream in everyday communications and transactions. This research aims to provide a segmentation analysis for the online market based on the various uses of the internet.

A review of the online consumer segmentation literature is first conducted. Survey method and cluster analysis techniques are used in the empirical study. A sample of 407 participants that belonged to a large consumer panel adequately responded to an online survey and provided their pattern of internet use, internet experience, and psychological characteristics.

The analysis shows that the online consumers form three global segments: the basic communicators (consumers that use the internet mainly to communicate via e‐mail), the lurking shoppers (consumers that employ the internet to navigate and to heavily shop), and the social thrivers (consumers that exploit more the internet interactive features to socially interact by means of chatting, blogging, video streaming, and downloading). Subsequent χ² and ANOVA tests illustrate that consumers from these segments exhibit significantly divergent demographic and experience profiles.

The results indicate that online consumers differ according to their pattern of internet use. The results have external and ecological validity; however, they lack the control provided in a laboratory experiment. Future research should examine if the findings can be replicated using behavioral measures.

Practitioners that plan to follow a resource‐based approach should consider the distinctive characteristics of the online market segments for an optimal allocation of marketing expenditure. Marketing and advertising strategies can be developed according to the customer's online segment. Further, online marketers can use the demographic and experience profiles to predict their customer's segment.

This paper is the first to perform a segmentation analysis to the online consumer market according to internet use pattern. The results show that usage can reliably be used as a segmentation base. Managerial and theoretical implications are furnished.