In the city: The John Lewis partnership and planned shopping centres

A defining feature of large-scale retailing during the period 1950–1980 was the emergence and evolution of planned shopping centres. During the 1950s, department stores in the United States were in the vanguard of this phenomenon. In contrast, British department stores continued operating from traditional high street sites, and had limited opportunities for expansion within planned shopping centres until the 1970s. This paper addresses the connection between department store retailing and the development of the planned shopping centre in Britain from the perspective of one enterprise: the John Lewis Partnership. The article demonstrates that the Partnership was willing to operate department stores within centrally located shopping centres, but was circumspect about operating stores in non-centrally located shopping centres.     

Selecting Sites for New Facilities Using Data Envelopment Analysis

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets, wherein the ratio of aggregate outputs to inputs for the selected set is maximal among all possible sets that could be chosen. At the same time, the model guarantees that the only sets of stores allowable are those for which the available resources are used to the maximum extent possible.     

我国大型百货商场的多角化经营战略

我国百货零售业在自身竞争手段落后导致的低准入门槛、市场成长缓慢和其它业态竞争者的大批跟进等多面夹击下销售增长急速下降、利润空间日益狭窄.应对全球化竞争,大型百货商场发展需要走内涵式道路,积极取向多角化经营,包括:跨区域组建企业集团、建设城乡统筹连锁网、优化商品结构、积极进入国际化购销链、运用现代信息技术降低物流成本等.     

我国大型百货商场的市场定位与发展策略

文章在分析我国零售企业市场状况和竞争态势的基础上,提出我国大型百货商场的目标市场应为中高档顾客群,并以此目标市场为基础,将突出产品特色、优化服务、心理定价、产品保证、购物环境和树立形象等作为我国大型百货商场的市场定位与发展策略。     

Shopping intention at AI-powered automated retail stores (AIPARS)

Artificial Intelligence (AI) is transforming the way retail stores operate. AI-Powered Automated Retail Stores are the next revolution in physical retail. Consumers are facing fully automated technology in these retail stores. Therefore, it is necessary to scrutinize the antecedents of consumers' intention to shop at AI-Powered Automated Retail Stores. This study delves into this area to find the predictors of consumers’ intention to shop at AI-Powered Automated Retail Stores. It extends the technology readiness and acceptance model by the addition of AI context-specific constructs such as Perceived Enjoyment, Customization and Interactivity from the present literature. The proposed model is tested by surveying 1250 consumers & the data is analyzed using the PLS-SEM technique and empirically validated. The outcome of the study reveals that Innovativeness and Optimism of consumers affect the perceived ease and perceived usefulness. Insecurity negatively affects the perceived usefulness of AI-powered automated retail stores. Perceived ease of use, perceived usefulness, perceived enjoyment, customization and interactivity are significant predictors of shopping intention of consumers in AI-powered automated stores. This research presents insightful academic and managerial implications in the domain of retailing and technology in retail.     

What drives customer loyalty in grocery retail? Exploring shoppers' perceptions through associative networks

Mental associations play a key role in shaping customer-brand relationships and are critical to the development of favourable attitudes and emotional attachment towards a brand. By exploring shoppers’ knowledge structures, this study identifies what drivers of customer loyalty are more relevant to customers in the context of grocery retail. A mix-method study on shoppers’ perceptions and values associated to their most patronised grocery store is presented. Through focus group discussions, concept maps and associative network analysis, three types of associations are identified: functional, relational and premium store associations. Salience and relationships among these dimensions are also discussed.     

Factors affecting donations in U.S. retail stores: A conceptual framework

The purpose of this study is to identify the factors that influence consumer donations in U.S. retail stores. The study provides a conceptual framework of factors derived from the cause-related marketing, consumer behavior and psychology literatures. These factors are categorized as consumer-related factors, retailer-related factors and context-related factors. Consumer-related factors include consumer-retailer identification, consumer-cause affinity, impure altruism, civic engagement and post-purchase cognitive dissonance. Retailer-related factors consist of retailer-cause fit, retailer's commitment to the cause, retailer image as being altruistic, and retailer credibility. Context-related factors include time pressure, social pressure, shopping amount, and perceived savings during the shopping trip. This conceptual framework serves as a foundation for future empirical studies.     

Older shopper types from store image factors

This study aims to characterise the older shopper by exploring unobserved heterogeneity within the segment and developing an older shopper typology from an empirically derived store image scale. Store attribute theory informed a two-stage research design. Firstly, a ‘pool’ of salient store attributes was identified through in-depth interviews. Scales were then developed and quantitatively tested using data collected through a household postal survey. Seven store image factors emerged, forming the basis of the typology. Five clusters were subsequently profiled using behavioural and demographic variables: Prudent neutrals, All-Round demanders, Reluctant casuals, Demanding sociables, and Affluent utilitarians. A discussion of the resultant classification's utility in terms of retail strategy, including opportunities for better targeting through adjustment of the retail offer, is presented. This study develops a store image scale that reflects the importance of store choice decisions of older shoppers, extending store image research by providing contemporary insights into the requirements of older shoppers in a changing retail environment.     

The effect of shopping goals and in-store mobile device use on purchase outcomes in brick-and-mortar stores

The present study examines the effect of using a mobile device on search and evaluation by a shopper in a brick-and-mortar store. A conceptual model that proposes inter-relationships between shopping goals, the amount and type of in-store mobile device use, and purchase outcomes is developed. Data from a national quota sample of 1034 mobile shoppers is used to test hypotheses derived from the proposed model. The findings provide several new insights into the impact of in-store mobile device use on the consumer decision journey in a brick-and-mortar store. Depending upon the shopping goals of the consumer, the use of a mobile device by shoppers in a brick-and-mortar store can either decrease or increase search, lead to more deferred purchases or in-store-now purchases, and more online or physical store purchases. The study is among the first to model the pathway to purchase for mobile device assisted shoppers in brick-and-mortar stores.     

Understanding the role of situational factors on online grocery shopping among older adults

This paper seeks to identify the situational factors that drive the adoption of online grocery shopping among older adults. A two-step research process is employed. First, exploratory qualitative research is carried out to identify situational factors that older adults take into account when deciding whether to buy groceries online. This is followed by a conjoint experiment to determine which situational factors are considered most important when making such a decision. The sample consisted of 9 participants in the in-depth individual interviews and 206 respondents in the conjoint experiment. The findings indicate that health, mobility issues, and distance to a store are the most important situational factors driving older adults to buy groceries online. Moreover, the findings confirm that the adoption of online grocery shopping among older adults is a result of a complex trade-off of situational variables. The findings contribute to managerial practice by providing online grocery retailers with insight that can be applied when designing promotional programs targeted at older adults.