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As other worldwide sourcing industries the retail sector is also prone to various forms of corruption. In particular large retail chains doing business in developing countries are often faced with corrupt bureaucracy and struggle with dubious administrative processes. On the other hand the purchasing divisions of large retailers decide upon million dollar deals with their suppliers which may tempt manufacturers to pay bribes for winning the deal. While such forms of corruption may be found also for other businesses there are other practices which may be recognized as corruption which are typical in the retail sector. One of the most controversial discussions concerns the practice of so-called slotting fees which are charged to manufacturers as a contribution to the handling costs of the retailer. Since such fees are negotiated in secrecy and not broken down by categories of expenditure they are often seen as a bribery-like payment demanded for getting contracts or staying in business. In the following chapter we will analyze these practices from an economic perspective. We will provide some empirical findings on how such payments are assessed in practice and conclude with some ethical considerations concerning the practice and the effects of slotting fees.

Companies spend millions on training their sales representatives. Thousands of textbooks have been published; thousands of training videos have been recorded. Hundreds of good pieces of advice and tips for sales representatives have been presented along with hundreds of sales methods and techniques. Probably the largest number of indicators and measures are applied in sales and distribution. On the one hand, this is a result of the fact that sales provide revenue and profit to a company; on the other hand, the concept of management by objectives turns out to be most effective in regional sales teams with reference to sales representatives and methods of performance evaluation. As a result, a whole array of indices has been created which enable the evaluation of sales representatives’ work and make it possible to manage goods distribution in a better way.

The indices presented in this chapter are rooted in the consumer market and are applied most often to this type of market (particularly in relation to fast-moving consumer goods at the level of retail trade). Nevertheless, many of them can be used on other markets (services, means of production) and at other trade levels (wholesale).

Although the values of many indices presented herein are usually calculated by market research agencies and delivered to companies in the form of synthetic results, we have placed the emphasis on the ability to determine them independently, both in descriptive and exemplifying terms. We consider it important to understand the genesis of indices and build the ability to interpret them on that basis. What is significant is that the indices can be interpreted differently; the same index may provide a different assessment of a product’s, brand or company’s position in the market depending on the parameters taken into account. Therefore, we strive to show a certain way of thinking rather than give ready-made recipes and cite ‘proven’ principles. Sales and distribution are dynamic phenomena, and limiting them within the framework of ‘one proper’ interpretation would be an intellectual abuse.

Market structure analysis continues to be a topic of considerable interest to marketing researchers. One of the most common representations of the manner in which brands compete in a market is via market maps that show the relative locations of brands in multi-attribute space. In this paper, we use logit brand choice models to estimate a heterogeneous demand system capable of identifying such brand maps. Unlike the previous literature, we use only aggregate store-level data to obtain these maps. Additionally, by recognizing that there exists heterogeneity in consumer preferences both within a store's market area as well as across store market areas, the approach allows us to identify store-specific brand maps. The methodology also accounts for endogeneity in prices due to possible correlation between unobserved factors, such as shelf space and shelf location that affect brand sales, and prices. We provide an empirical application of our methodology to store level data from a retail chain for the laundry detergents product category. From a manager's perspective, our model enables micromarketing strategies in which promotions are targeted to those stores in which a brand has the most favorable, differentiated, position.

Retailers increasingly experiment with a wide variety of store elements; this chapter focuses on in-store marketing tactics and reports the results of 12 in-store experiments conducted in cooperation with different retail chains. Experiments 1–3 address in-store signage (digital, floor) and reveal that digital screens and signage can draw customers toward merchandise and deeper into shopping aisles. Experiments 4–6 explore the impact of the organization of a display (vertical, horizontal, diagonal, waterfall) and generally demonstrate the superiority of vertical organizations of merchandise. In Experiments 7–9, results pertaining to the location of a product in a store highlight the importance of placing merchandise at eye level. With Experiments 10 and 11, the authors reinforce the importance of retail atmospherics (scent, lighting). Finally, Experiment 12 explores product placement and other factors that can enhance the effectiveness of in-store merchandise demonstrations.

The use of high-density remote storage facilities helps alleviate competing space needs in academic medical libraries while they continue to support core services and supply service copies of resources.

Four academic medical libraries in the Texas A&M University System and the University of Texas System will highlight their participation in a regional collaborative storage facility using the Resource in Common (RIC) model.

Results will show how library services and facilities changed since moving some or all of print collections to JLF.

The RIC model has proven to be a success in recovering user space without losing access to resources.

To cope with the complexity of modern retail stores and personal time constraints, shoppers must be selective in processing information. During a typical shopping trip, they visit only a fraction of a store’s departments and categories, examine a small subset of the available products, and often make selections in just a few seconds. New research techniques can help marketers understand how customers allocate their attention and assess the impact of in-store factors on shopper behavior. This chapter summarizes studies using observational research, virtual reality simulations, and eye tracking to identify the drivers of shopper attention, product engagement, and purchase conversion. These include shopper goals; product assortment, package appearance, price, and merchandising; shelf space allocation, organization, and adjacencies; and salesperson interaction. The research reveals that small changes in a product’s appearance and presentation can have a powerful impact on consideration and choice.

Through the examination of retail space, by the end of this chapter you should be able to demonstrate an understanding of:

The use of space within retailing.

Lefebrve’s spatial triad: perceived, conceived and lived within a retail context.

Disruption innovation and the use of retail space.