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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.

EuroPet S.A. was a multinational company operating gas stations in many European countries. There was a growing propensity for supermarkets to attach gas stations to their retail operations, which was developing into a major threat to EuroPet. As a result, in the mid-1990s, the company began to develop and brand its own convenience stores co-located with its gas stations. However, the company was spending much more on advertising the convenience stores than its competitors did. Management now had to decide if the increase in sales attributed to advertising efforts justified the advertising spend by analyzing the market data from one large metropolitan area: Marseille, France.

Students will learn: how to use cross-tabs and other marketing research tools to identify segmentation descriptors; how to analyze data and interpret results; and how these research results could guide new product development and positioning strategies in order to effectively target relevant customer segments.

This paper considers schemaless XML data stored in a column-oriented storage, particularly in C-store. Axes of the XPath language are studied and a design and analysis of algorithms for processing the XPath fragment XP{*, //, /} are described in detail. The paper aims to discuss these issues.

A two-level model of C-store based on XML-enabled relational databases is supposed. The axes of XPath language in this environment have been studied by Cástková and Pokorný. The associated algorithms have been used for the implementation of the XPath fragment XP{*, //, /}.

The main advantage of this approach is algorithms implementing axes evaluations that are mostly of logarithmic complexity in n, where n is the number of nodes of XML tree associated with an XML document. A low-level memory system enables the estimation of the number of two abstract operations providing an interface to an external memory. The algorithms developed are mostly of logarithmic complexity in n, where n is the number of nodes of XML tree associated with an XML document.

The paper extends the approach of querying XML data stored in a column-oriented storage to the XPath fragment using only child and descendant axes and estimates the complexity of evaluating its queries.

The purpose of this paper is to evaluate the influence of price and products on the promotion (through in-store temporary displays) on consumer sales in an emerging market context (i.e. Brazil) in different regions with contrasts in the market and store formats analyzed.

The data originate from retail market audits conducted over three years and are broken down by a region and a channel for a product category that has experienced increased competition and growth and is highly distributed throughout the analyzed regions and channel formats (i.e. the ready-to-drink juice category). This study uses a panel vector autoregression framework and an impulse-response function to determine the effects on sales over time.

The results suggest that price sensitivity and the effects of promotions on sales vary with the type of store format rather than through structural differences between regions with lower vs higher levels of economic development in an emerging market.

Managers should consider differences in store format more than the heterogeneity among regions when making price and promotion decisions. Additionally, this paper highlights the importance of in-store product visibility through temporary displays of promoted products, especially in smaller stores in an emerging market.

By considering the challenges of managing a consumer brand for which market heterogeneity is key, this paper extends the current research by contrasting consumer price and in-store promotion decisions across two heterogeneous regions and store formats within an emerging market.

This paper aims to compare the accepted techniques of location analysis in the food sector with the realities of “real world” forecasting in convenience store (c‐store) retailing. To offer a conceptual framework for c‐store operators intending to become more strategic in their small store location planning but currently lacking established expertise or extensive research budgets.

Outlines potential best practice based on industry experience, and contact and discussion with location analysts and retail consultants, as well as a wide ranging examination of the academic literature in this area.

Finds that the traditional techniques of market analysis for large‐scale food stores will become largely redundant; that neighbourhood retailers are likely to manage their location decision‐making by incremental steps; that the requirements of convenience store forecasting inevitably read to a “back to basics” approach to market analysis; that the use of site visits in combination with more quantitative techniques will provide the most effective solutions; and that reconciling human institutions and their environment is key to effective site research decision‐making.

Academic conceptualisations of location planning in the convenience store sector are largely absent from the literature. This paper adopts a practical perspective.

While no two businesses are the same, examples from Edinburgh Pakistani community convenience store owners illustrate business survival strategies developed in response to increased environmental challenges presented by changing consumer behaviour, increased competition and demographic variations. These are related to the individual’s motivation, experience and family business background, and include exiting the sector, gaining recognised qualifications and alternative employment, and involving second and third generations in expanding family business activities. The resulting smaller, but stronger, convenience(c)‐store sector continues to provide opportunities for individual businesses, thus maintaining the economic and social benefits for the ethnic minority community and the wider city population.

The burgeoning of the convenience store in the UK is taking many forms — from the home‐grown variety (often via symbol groups) to transatlantic imports. What they have in common is extended opening hours and a broad variety of merchandise, hut within that band there are many variations, and the style of the operations are often dictated by the character of the parent company. We are now seeing the beginnings of an indigenous multiple, which, while springing from the roots of a floundering grocery chain, nevertheless has a mark of distinction and has pushed the c‐store into the upmarket bracket for the first time. Sue Sharples looks at the new style Cullen's convenience store.

Charts the success of an experiment by B&Q, the large DIY chainstore, in opening a store, staffed entirely by older workers. The subsequent success of this proactive response to the changing demographic structure has proved to managers and public alike, that older workers are a valuable part of the UK labour market.

Developing a strong, positive image has become essential to the maintenance of sustained competitive advantage. Research into store image has allowed retailers to create positioning strategies and enabled them to differentiate their stores in terms of the products, prices or services on offer. This paper presents the findings of a survey based on responses from 860 customers of multiple retailers selling womenswear fashion clothing. It examined the principal dimensions involved in store image, utilising a multi‐attribute model, and compares results with qualitative store choice statements. The paper concludes by exploring how retailers could manipulate image variables to maintain or defend their market positioning.

Despite retail digitisation and research efforts focussed on online and omnichannel shopping, there is insufficient knowledge regarding retail patronage formation in the grocery category, where in-store sales dominate. This study analyses the retail patronage formation in grocery in-store fill-in shopping.

The authors designed a questionnaire to measure retail patronage behaviour, consumer satisfaction (CS), store attributes evaluation and e-retail usage. Then, the authors analysed the path structure for retail patronage behaviour formation using structural equation modelling. Additionally, they performed a mediation analysis using the bootstrap method and a moderation analysis based on a chi-square difference test.

This study provides three main findings. First, the authors' model has two ways to increase Share-of-Wallet (SOW). One is to increase Share-of-Visits (SOV) and another is to increase CS amongst non-users of e-retailing. Second, the results of the moderation analysis suggest the influence of customers' use or non-use of e-retailing on SOW formation. Third, service evaluation plays an interesting role in the overall model: the lower the assessment of service, the higher the SOV; the higher the evaluation of service, the greater the CS; the greater the CS, the higher the SOV.

The authors proposed the framework for the relative retail patronage formation in grocery fill-in shopping to examine the relationship between two relative patronage indicators (SOW and SOV) in the path structure and the mediating effect of CS and the moderating effect of e-retailing usage on retail patronage formation.