Abstract
This article presents raw inferential statistical data that determined the coronavirus readiness strategies at retail stores in South Africa and their consequences for consumer behavioural intentions. The data was collected from customers within the metropolitan area of Bloemfontein. The data were analysed using a quantitative approach. Structured questionnaires were provided to customers throughout South Africa's Bloemfontein metropolitan area. Reliability and validity were confirmed. The data was presented using Structural Equation modelling (SEM) using the Smart PLS program. The analysis of the SEM path shows estimates of the interconnectivity of the major constructs in the data. The findings from this dataset show that sanitised retail entrances, sanitised retail counters and sanitised retail shelves had a statistically significant effect on customer satisfaction with covid-19 readiness in retail stores. Furthermore, the data reveals that retail social distancing and senior citizens shopping hours had a statistically insignificant effect on customer satisfaction with covid-19 readiness. Moreover, the data reveals that customer satisfaction with covid-19 readiness strategies of retail stores also had a positive and statistically significant effect on customer behavioural intentions.
Highlights
Data on corona-virus readiness strategies influencing customer satisfaction and customer behavioural intentions in South African retail stores
The data reveals that retail social distancing and senior citizens shopping hours had a statistically insignificant effect on customer satisfaction with covid-19 readiness
Business and Marketing Consumer behaviour, grocery consumption, retailing Tables and figures Data was gathered significantly through the dissemination of questionnaires to clients inside the Bloemfontein Metropolitan region Raw, analysed, descriptive and statistical data To qualify for inclusion in the sample the participant had to be customers within the Bloemfontein metropolitan area
Summary
The data is presented through two tables and one figure. In Table 1, the accuracy analysis statistics are presented which include reliability and validity measures. This data article is accompanied with supplementary data files, precisely a micro-soft excel spreadsheet data set and a structured questionnaire which is divided into eight sections. There are four phases of data preparation, namely data editing, coding, capturing and cleaning [1, 3] These phases were employed to ensure that the data collected is complete and ready for analysing. The researchers proposed the model whereby sanitised retail entrances, sanitised retail shelves, sanitised retail counters, retail social distancing and senior citizens shopping hours were the predictor variables.
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