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1 – 10 of 13Alec Davies, Les Dolega and Daniel Arribas-Bel
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…
Abstract
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.
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The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on…
Abstract
Purpose
The purpose of this paper is to provide a comprehensive overview of the geography of mortgage lending in Great Britain. It uses a new mortgage dataset as a way to shed light on the spatial distribution of mortgage finance and to highlight the different lending patterns of seven major UK banks. It also examines the relationship between the distribution of mortgage finance and socio-economic status at the local level.
Design/methodology/approach
The methodology is based on simple quantitative techniques, including spatial analysis, location quotient analysis and socio-economic classification. Lending data for Great Britain’s 10,000 postcode sectors are the basis for analysis here.
Findings
The results suggest that some banks lend significantly less than others in poorer areas, but, owing to a lack of data, it is not possible to say why. It is possible to identify banks that appear to change their lending patterns in areas with different socio-economic characteristics. The paper concludes by reflecting on key messages and by making a small number of recommendations to improve transparency in the sector.
Research limitations/implications
In the absence of demand-side metrics, it is not possible to determine which banks lend disproportionately high or low amounts in poorer areas.
Practical implications
This paper has implications in relation to increasing financial transparency in the residential mortgage sector. The most important implication would be to highlight the fact that this new data – whilst a welcome development – is a long way from providing proper transparency in the mortgage lending sector.
Originality/value
This paper fills a gap in the international literature in relation to our understanding of the geography of mortgage lending in a major world economy. It also highlights important differential lending patterns in relation to socio-economic status at the sub-national level.
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Ángel López-Jáuregui, Mercedes Martos-Partal and Jose María Labeaga
This study aims to propose a theoretical framework and provide empirical evidence on the most successful marketing strategies for obtaining behavioural loyalty in small and medium…
Abstract
Purpose
This study aims to propose a theoretical framework and provide empirical evidence on the most successful marketing strategies for obtaining behavioural loyalty in small and medium enterprises (SMEs).
Design/methodology/approach
The data are based on 475 telephone surveys conducted among Spanish hairdressers. The authors have used ordinary least squares to estimate the empirical model.
Findings
Pricing, services and communication (Web page and in-store communication) are the main drivers of customer loyalty. SMEs have to be cautious with the use of social networks to avoid damaging loyalty. In addition, those positioned at high-price segments should pay more attention to communication on the Web, and all companies should find a balance between in-store communication and the sale of products for use at home.
Research limitations/implications
Further research should try to replicate the findings with data from consumers and firms.
Practical implications
Service managers need to understand the optimal strategy to succeed in the market. The key insights of this study could also apply to other sectors, such as health, personal care and wellness services.
Originality/value
Previous research focussed mainly on large companies, while the role of loyalty in the success of SMEs has been poorly studied, with focus only on the antecedents and the measurement of loyalty. This study contributes to the previous research by analysing the effect of the strategy (price, range of services, communication, size and location) in the achievement of loyalty in SMEs.
Objetivos
Este trabajo propone un marco teórico y aporta evidencia empírica sobre las estrategias de marketing más exitosas en la consecución de lealtad comportamental en PYMEs.
Metodología
Se ha realizado una encuesta telefónica a 475 peluqueros españoles. El modelo utilizado para la estimación es el de mínimos cuadros ordinarios.
Resultados
Precio, servicios, y comunicación (página web y comunicación en la tienda) son los principales generadores de lealtad. Las PYMEs tienen que ser cautelosas con el uso de las redes sociales para evitar dañar la lealtad. Además, aquellas posicionados en altos precios deben prestar más atención a la comunicación en la web y todas deben encontrar un equilibrio entre la comunicación en el tienda y la venta de productos para su uso en casa.
Limitaciones
Investigaciones futuras podrían replicar este estudio usando datos de consumidores y de empresa.
Implicaciones prácticas
Los gerentes necesitan entender la estrategia óptima para tener éxito en el mercado. Las ideas claves de este trabajo podrían aplicarse a otros servicios personalizados de salud y bienestar.
Originalidad/valor
La investigación previa se centra principalmente en grandes empresas mientras que el papel de la lealtad en el éxito de las pymes ha sido escasamente investigado y se ha centrado en los antecedentes y la medición de la lealtad. Este estudio realiza una contribución al analizar el efecto de la estrategia (precio, surtido de servicios, comunicación, tamaño y localización) en la consecución de la lealtad en las pymes.
Palabras clave
Lealtad; pequeñas y medianas empresas; Pymes; peluqueros; estrategia de marketing; salon
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