Purpose: The purpose of this paper is to recognise the areas of implementation of the principles of sustainable development (SD) in the model of retail chains activity. In the paper, the assumption was made that nowadays it is necessary to adopt the rules following SD while making strategic decisions by retail chains. Design/methodology/approach: The study uses secondary data sources, reports, academic literature and the case study research method. A case study research is a multi-method paradigm based on full range of a scientist’s tool-kit: reviewing literature studies, examining secondary documents and comparing the websites of investigated retail chains. Findings: According to that business model, the authors were recognising selected components of this model, that is to say: recourses and competences of retail chains and value proposition for their customers. The greatest chances of development will be enjoyed by those retail chains that will be able to provide real value to customers. Maintaining a competitive advantage will require constant improvements in the quality of service and innovative business models connected with sustainable elements. Research limitations/implications: It seems necessary to develop research tools that allow for identification of the level of use of the SD concept in retail chain’s business models in the future. Practical implications: The paper is of interest to practitioners and students of retail management. Social implications: The concept of the SD model included in the retailer business models serves to build value for the customer through the care of his quality of life. The vast majority of retailers believe that it is the responsibility of the business sector to respond to social and environmental challenges. Originality/value: The paper intends to fill the gap in the literature concerning the influence of SD concept on changes in the business models of retail chains. The SD activities can lead to the development of specific capabilities based on intangible recourses that are sources of competitive advantage (SD). That is the main reason of undertaking this subject.

The weather is considered as an influential factor on consumer purchasing behaviours and plays a significant role in many aspects of retail sector decision making. As a result, better understanding of the magnitude and nature of the influence of variable UK weather conditions can be beneficial to many retailers and other stakeholders. This study addresses the dearth of research in this area by quantifying the relationship between different weather conditions and trading outcomes. By employing comprehensive daily sales data for a major high street retailer with over 2000 stores across England and adopting a random forest methodology, the study quantifies the influence of various weather conditions on daily retail sales. Results indicate that weather impact is greatest in the summer and spring months and that wind is consistently found to be the most influential weather condition. The top five most weather-dependent categories cover a range of different product types, with health foods emerging as the most susceptible to the weather. Also, sales from out-of-town stores show a far more complex relationship with the weather than those from traditional high street stores with the regions London and the South East experiencing the greatest levels of influence. Various implications of these findings for retail stakeholders are discussed and the scope for further research outlined.

Purpose: Twenty-first century online retailing has reshaped the retail landscape. Grocery shopping is emerging as the next fastest growing category in online retailing in the UK, having implications for the channels we use to purchase goods. Using Sainsbury’s data, the authors create a bespoke set of grocery click&collect catchments. The resultant catchments allow an investigation of performance within the emerging channel of grocery click&collect. The paper aims to discuss these issues.Design/methodology/approach: The spatial interaction method of “Huff gravity modeling” is applied in a semi-automated approach, used to calculate grocery click&collect catchments for 95 Sainsbury’s stores in England. The catchments allow investigation of the spatial variation and particularly rural-urban differences. Store and catchment characteristics are extracted and explored using ordinary least squares regression applied to investigate “demand per day” (a confidentiality transformed revenue value) as a function of competition, performance and geodemographic factors.Findings: The findings show that rural stores exhibit a larger catchment extent for grocery click&collect when compared with urban stores. Linear regression finds store characteristics as having the greatest impact on demand per day, adhering to wider retail competition literature. Conclusions display a need for further investigation (e.g. quantifying loyalty).Originality/value: New insights are contributed at a national level for grocery click&collect, as well as e-commerce, multichannel shopping and retail geography. Areas for further investigation are identified, particularly quantitatively capturing brand loyalty. The research has commercial impact as the catchments are being applied by Sainsbury’s to decide the next 100 stores and plan for the next five years of their grocery click&collect offering.

The Fourth Industrial Revolution has brought advanced technologies such as augmented reality (AR) and virtual reality (VR), transforming consumer behavior in retailing and arousing the interest of scholars in studying customer responses to these technologies in retail settings. However, owing to variations in specific contextual factors, the results of related research have been mixed, which impedes retailers’ capacity to gain a systematic understanding of the formulation of well-informed marketing decisions in the context of AR and VR retailing. To address these gaps, this systematic review synthesizes extant empirical evidence with 1099 effect sizes from 111 published studies with 136 datasets and 547,415 sample sizes. This study is based on well-established theories, including the technology acceptance model, the customer journey theory, and the unified theory of acceptance and use of technology, which are extended to create a more comprehensive framework that is adapted for the customer journey in AR and VR retailing. Our findings reveal significant and positive correlations for all the proposed constructs, including the experience; intrinsic, extrinsic, hedonic, and utilitarian factors; and customer experience, attitude, intention, and loyalty, and verify the significant moderating effects for technology and product types. From a management perspective, our findings provide a systematic understanding of enhancing retailers’ integrated sustainable marketing strategies in the context of AR and VR retail and propose a forward-looking research agenda.

Retail is an important function at the core of urban areas, occupying a key role in determining their economic prosperity, desirability, and vibrancy. Efforts to understand the geographies of retail centers, the cores of retailing in urban areas, have a long academic tradition, often studied through either rich local case studies, or when geographically more expansive, are constrained by limited detail. New data in United States detailing the location and uses of retail creates a significant opportunity to develop a more complete and comprehensive overview of the national retail system, at a high spatial resolution. This research is rooted in a pragmatic effort to provide the first and most comprehensive model of U.S. retail center geographies, through development of an integrated, conceptual, and empirically grounded framework, using data from SafeGraph, to examine where they are located, what characteristics they have, and who uses them. The resulting geographies are of great interest, creating significant potential in the monitoring of the national retail system as it continues to evolve in response to wider structural challenges. Furthermore, by integrating these three geographies (where, what, and who), we establish a conceptual framework that yields substantive insights about the relationships between each of them, and argues that understandings of U.S. retail center geographies are more comprehensive and useful when considering the who, what, and where together.

The COVID-19 pandemic has changed the ways in which we shop, with significant impacts on retail and consumption spaces. Yet, empirical evidence of these impacts, specifically at the national level, or focusing on latter periods of the pandemic remain notably absent. Using a large spatio-temporal mobility dataset, which exhibits significant temporal instability, we explore the recovery of retail centres from summer 2021 to 2022, considering in particular how these responses are determined by the functional and structural characteristics of retail centres and their regional geography. Our findings provide important empirical evidence of the multidimensionality of retail centre recovery, highlighting in particular the importance of composition, e-resilience and catchment deprivation in determining such trajectories, and identifying key retail centre functions and regions that appear to be recovering faster than others. In addition, we present a use case for mobility data that exhibits temporal stability, highlighting the benefits of viewing mobility data as a series of snapshots rather than a complete time series. It is our view that such data, when controlling for temporal stability, can provide a useful way to monitor the economic performance of retail centres over time, providing evidence that can inform policy decisions, and support interventions to both acute and longer-term issues in the retail sector.