Search results

This study aims to understand customer’s assessments of neighborhood stores during the COVID-19 pandemic through the influence of in-store environmental factors on patronage intention.

Online survey with 528 participants about the last shopping trip in neighborhood retail. The authors performed data analysis using structural equation modeling techniques.

High-perceived spatial crowding negatively influences shopping experience value perceptions, while human crowding influences patronage intentions through increased perceived hedonic value.

Results suggest that purchase experience at well-known neighborhood stores during a sanitary crisis is becoming less convenience-oriented and a substitute for leisure activities due to social distancing.

The findings elucidate the social function of neighborhood convenience retailing during the COVID-19 pandemic. The results emphasize that a pleasant shopping experience arising from a good relationship with shopkeepers and other customers is more influential on patronage intention than a good product assortment and store layout.

This paper contributes to the survival of small neighborhood businesses during the financial crisis installed due to Covid-19 by helping businesses become more attractive to their consumers and competitive in the new context.

The combined context of the health crisis due to COVID-19 and neighborhood retail of an emerging country raises the need for tests to better understand established marketing theories. Based on this rationale, this work intends to replicate and extend selected previous findings to the new environment dictated by the pandemic.

The purpose of this paper is to identify the influence of the company’s reputation and individual consumer involvement in the relationship between satisfaction, loyalty and willingness to pay more for a product.

The method used is quantitative, by means of a survey with real consumers of automotive services of two vehicle dealerships, whose data were analyzed through linear regression analysis and conditional analysis of moderation.

The authors have identified that the relationship between satisfaction and loyalty and between loyalty and willingness to pay more for a product is entirely moderated by the (high) reputation of the brand and the (high) individual involvement of the consumer.

The study contributes to marketing managers as it demonstrates effect of brand reputation and involvement. Therefore, it is understood that these variables need to be considered in satisfaction surveys, as it has been proven that satisfaction alone cannot explain the variables of business performance (loyalty and willingness to pay).

The greatest innovation of this study is the identification of the total moderation between stated satisfaction and loyalty and between satisfaction and willingness to pay more. It has been demonstrated that high levels of brand reputation coupled with high levels of consumer involvement account for the fully dependent variables.

The purpose of this paper is to assess the factors affecting intentions to purchase food through the internet. Based on the available literature – more specifically, on Ajzen’s (1985) theory of planned behaviour and Grunert and Ramus’ model (2004) – this study proposes and tests a model of planned food purchases via the internet.

A quantitative study was conducted among 403 respondents. Data were analyzed using structural equation modelling.

The main results demonstrated that attitude and perceived difficulty are the antecedents of purchase intentions. Perceived risk had a negative relationship with attitude. With respect to lifestyle, novelty was positively related to attitude, and freshness was negatively related. In addition, novelty had only an indirect effect on intention, which was mediated by attitude. A wired lifestyle had a positive relationship with attitude, and a negative relationship with perceived difficulty.

This study operationalizes and improves Grunert and Ramus’ (2004) model of intention to buy food over the internet, by developing, testing and presenting a more comprehensive model.