Evaluating the Impact of the Internet on Sales Growth of Aquaculture MSMEs in Lusaka


Authors : Mildred Chuunga Muhyila; Dr Egret Chanda Lengwe; Edwin Bbenkele

Volume/Issue : Volume 8 - 2023, Issue 6 - June

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/2jzbfrf7

DOI : https://doi.org/10.5281/zenodo.8170871

Abstract : The purpose of the study was to investigate the utilization of the internet among aquaculture MSMEs with a view to developing a strategy that could be used to enhance growth in sales and a mono method quantitative study, employing a survey questionnaire of MSMEs in aquaculture in Lusaka. SPSS statistical package version 21 was used in data analysis. Ordinal regression which was used to model the study showed that the model did not show an excellent fit as McFadden value of R-Square showed improvements were far lower than twenty percent. Though the dependent variable, sales growth had increased, the independent variable, the internet, was not worth noting to be a significant predictor of the sales growth increase. There are perhaps other predictors such as education level, gender, experience, age, size and ownership form, that could have had a direct and positive impact.

Keywords : Aquaculture, Micro, Small and Medium Enterprise, Sales Growth, Internet.

The purpose of the study was to investigate the utilization of the internet among aquaculture MSMEs with a view to developing a strategy that could be used to enhance growth in sales and a mono method quantitative study, employing a survey questionnaire of MSMEs in aquaculture in Lusaka. SPSS statistical package version 21 was used in data analysis. Ordinal regression which was used to model the study showed that the model did not show an excellent fit as McFadden value of R-Square showed improvements were far lower than twenty percent. Though the dependent variable, sales growth had increased, the independent variable, the internet, was not worth noting to be a significant predictor of the sales growth increase. There are perhaps other predictors such as education level, gender, experience, age, size and ownership form, that could have had a direct and positive impact.

Keywords : Aquaculture, Micro, Small and Medium Enterprise, Sales Growth, Internet.

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