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• Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

• Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

• Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

• Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

• Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

Retail agglomerations are predestined to capitalise on the combination of the strengths of traditional retailing and digital service innovations.

Digital touchpoints can enhance the visitor experience throughout the whole customer journey, that is not only on-site but also before reaching as well as after having left the agglomeration.

Digital service innovations can provide additional value to visitors of a retail agglomeration through four elements of the digital marketing mix: Information, orientation, communication and atmosphere.

Technologies like augmented reality (AR) or virtual reality (VR) can create unique and memorable customer experiences, ensuring that retailers and service providers as well as the retail agglomeration as a whole continue to thrive.

Key success factors for the implementation of digital services in the context of retail agglomerations include participative innovation processes, cooperation and the communication of clear benefits to stakeholders.

The purpose of this paper is to identify those attributes of created and evolved retail agglomeration formats that have a substantial impact on overall attractiveness from the consumers' point of view. From an agglomeration management perspective primary areas of concern are identified and suggestions to increase the competitiveness of diverse agglomeration formats are presented.

Through synthesizing pertinent literatures, the paper produces a conceptual framework that proposes significant impacts between ten generic agglomeration attributes and different dimensions of attractiveness. The paper then tests the hypotheses using a survey of more than 1,000 consumers of three competing agglomeration formats (a town center, a strip center, and a regional shopping mall) in a particular locality.

Retail‐related factors and the atmosphere influence attractiveness most significantly in each of the three settings. All other factors – in particular convenience related ones – show only format specific relevance or are of no direct importance on the consumers' evaluation of attractiveness.

The findings can only be transferred to similar retail settings and do not consider supra‐regional agglomerations.

The results suggest that management of all three agglomerations is quite limited in directly influencing attractiveness. They should instead focus on the optimum selection of retail tenants and support or compliment the marketing endeavors of their tenants.

The focus is on regional retail agglomerations and considers the interdependencies between different formats in one geographical area. The in vivo survey approach takes into account the moderating effect of the shopping situation when consumers' evaluate the attractiveness of competing shopping venues.

The objective of the study is to understand the reasons for the resilience of rural periodic markets. Small retailers patronise these markets, and by identifying the reasons for their continued market participation, an attempt has been made to explain the continued existence of these traditional evolved retail agglomerations.

A qualitative research design was adopted for the study. Semi-structured interviews were conducted with 35 small retailers, and responses were used to identify the reasons for their continued market participation. A mix of purposeful and snowball sampling was used to select the respondents.

In a novel endeavour, this study presents rural periodic markets as an evolved retail agglomeration. It identifies six factors responsible for the continued participation of small retailers in these markets. Seven attributes of the rural periodic market, an evolved retail agglomeration, were also identified which contribute to the resilience of these markets.

This study contributes to the literature on retail agglomerations and identifies the reasons for the continued market participation of small retailers, suggesting some trends about their future in emerging economies.

Rural periodic markets have affected the overall well-being of surrounding villages by providing opportunities to participate in many ways. This has been identified as a reason for the economic growth of the area.

To the best of our knowledge, this is one of the first studies to explore the resilience of periodic markets from the perspective of small retailers by identifying the reasons for their continued market participation.

The purpose of this paper is to identify the attributes of shopping streets and shopping malls that influence the satisfaction and patronage intention of low-income consumers in order to understand the consumers’ preferences when it comes to shopping in these retail agglomerations.

The study is based on quantitative and qualitative research, including in-depth interviews and focus groups with low-income consumers. The research collected data from 396 consumers at 3 retail agglomerations in Rio de Janeiro, Brazil, and used a structured questionnaire to identify 12 attributes as the factors of the agglomerations’ attractiveness.

The results show that the items “selection” and “value” affect satisfaction and patronage intention at the same intensity in both shopping streets and shopping malls. However, the item “access” proved to be important for shopping malls, and the item “security” proved to be important for shopping streets. The results indicate that shopping streets have a preference for patronage intentions, despite the greater satisfaction generated by shopping malls. In addition, the study looked at consumers’ opinions on these retail agglomerations.

The research findings help to build a conceptual framework on evolved retail agglomerations in comparison to created retail agglomeration, represented by shopping streets and shopping malls, respectively. The findings allow a broader view of low-income consumption, offering insights so entrepreneurs and companies can direct their efforts to better capture value and improve the supply of products and services. Likewise, these findings will help public policy decision-makers to build and provide infrastructure for the preservation of shopping streets, maintaining this option for the consumer.

The purpose of this chapter was to investigate consumer perceptions of retail agglomeration (RA) characteristics in Zagreb region. Perceived RA characteristics were compared between two major types of RA: Planned retail agglomerations (PRA) and Evolved retail agglomerations (ERA).

Data were collected with consumer survey and analyzed using descriptive statistics, exploratory factor analysis and analysis of variance (ANOVA).

Findings indicate that four factors of RA characteristics can be identified: convenience, accessibility, atmosphere, and image. The shoppers’ ratings indicate the strength and weaknesses of RA, and also the dominant position of PRA as compared to evolved RA.

Results show that there were significant differences in shoppers’ perceptions between Planned and evolved RA in Zagreb region. Shoppers evaluated PRA better than ERA on all four factors. Convenience and atmosphere are the best-rated PRA characteristics. Managerial implications are discussed in the study.

The objectives of this study were to demonstrate that the high-density 7-Eleven c-stores in Taiwan benefit from economies of scale in distribution and can, therefore, leverage the logistics costs; and to decide the proper locations for the future inauguration of c-stores.

The study spatially analysed the c-stores located in Tainan, Taiwan and examines the influence of spatial configuration on c-store revenue. This study developed models to quantify the revenue and logistics costs that the 7-Eleven convenience store (c-store) chain encountered when adopting a high-density expansion strategy. The revenue models’ parameters were calibrated utilizing data collected from financial statements in 7-Eleven chains’ 2015 corporate annual reports and modelling was used to quantify the influence of agglomeration forces and the distance separating c-stores on revenue.

Positive agglomeration forces increased 7-Eleven’s company-wide sales and the average daily revenue of its individual c-stores, and decreased those of competitors. The study findings demonstrate the high-density 7-Eleven c-stores in Tainan benefit from economies of scale in distribution and can, therefore, leverage their logistics costs. The spatial analysis concluded that higher-density and higher-revenue c-stores were spatially clustered.

The study extends the use of analytical revenue and spatial models to decide the proper locations for the future inauguration of c-stores.

The study seeks to understand the influences on the prevalence of rural retailing institution of periodic markets. It examines the influence of access to and population of the location on the performance of periodic markets and their effect on the competition between periodic markets and local rural retail stores.

Simultaneous cross-sectional study on census data is used to understand changes in performance of periodic markets in the context of growth in retail stores.

The superior performance of local retail shop compared to outshopping in periodic markets is contrary to observation in literature developed in the context of urban outshopping.

Retail chains need to develop a separate program for location of outlets that serve rural areas as access influences retail performance. In rural areas marketers can use traditional periodic markets in addition to conventional retail store given the limited inter-format retail competition.

This is one of the few studies to explicitly examine periodic markets as a retail format. Outshopping is studied in the context of growth in local retail stores unlike earlier studies in the urban context where the local stores exhibit reduced sales.

Which retail services are co-located in space? Is it possible to categorize retail stores of different kinds with respect to their location pattern? Acknowledging the spatial dependency between different and similar kinds of retailing activities, the aim of this paper is to find if and to what extent co-location is present in a retail market and what kind of retailing activities are co-located.

The authors analyse the co-location of different types of retail stores in Sweden by using geo-coded data. The data they use allows them to pinpoint each establishment in Sweden down to a 250 by 250m square in space. First, they identify a measure of co-location for each retail service by utilizing pairwise correlations between the different retail service establishments with respect to the squares in which they are present. Later, by using the finest level of industrial categorization for all physical retailing activities (and limiting their geographical unit to the Stockholm metropolitan market), they perform factor analysis to nest these retailing activities under relevant categories based on their co-location pattern.

In this analysis the authors obtain four major factors for the squares with retail stores, in which several kinds of retail activities are nested. These factors reveal a certain degree of location commonality for the markets in question.

The authors' empirical design is based on a highly disaggregated spatial information and the methodology is novel in a sense that it has not been used to address a similar question. Rather than sampling, the authors use the total population, where they take all physical retailing activities into account to be able to draw a general picture for the co-location phenomena in the entire retail market.

The purpose of this paper is to focus on the real estate development and community interaction aspects of US shopping malls. The existing research on shopping mall development and redevelopment can more comprehensively address the importance of malls to the communities in which they are located. Existing shopping mall research focuses on lease valuation, tenant location, retail agglomeration economies, retail demand externalities and intangible asset value. Largely, neglected areas of research are the community and economic contributions of shopping malls. These are critical issues given the age of shopping malls worldwide, the need for adjacent area redevelopment and requirement of large public subsidies for infrastructure construction.

This paper investigates the critical role of shopping malls as town centres and catalysts for area development and redevelopment. A review of the existing research on shopping malls and retail economic contributions to communities is addressed along with how mall redevelopment can be a catalyst for the revitalization of urban core and suburban areas. Methodology on the measurement of shopping centre economic and employment impacts using input/output (IO) modelling is reviewed and analysed.

IO modelling is an effective tool to evaluate publically supported infrastructure to accompany shopping mall and retail redevelopment. As an example of an IO analysis of construction and mall operations economic impacts, the paper presents a case study of the proposed $2 billion Mall of America (Bloomington, Minnesota) expansion employing IO modelling.

The paper demonstrates the community benefits and economic justification for public support for mall revitalization and provides a reliable analytical tool for quantifying the benefits of mall redevelopment to the community.

Traditional sets of attributes characterizing shopping centres need to be updated to relate to new specific consumers' needs and choices, to ensure the survival of shopping centres. To this end, this chapter revisits shopping centres’ attributes in the light of consumers' choices of actual centres, taking into account the recent increasing role of technologies, leisure activities and changes in consumer behaviour. In doing so, we aim to improve perceptions of modernity and help to regenerate (or at least mitigate the decline of) shopping centres. Specifically, the new set of attributes include appearance (external appearance), convenience, entertainment and leisure activities, memorable experiences, green place and policy, image (modern image), price, service, size and technology.