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Small to Medium Enterprises (SMEs) are a key part of socio-economic development in South Africa by providing employment, generating incomes, and alleviating poverty. Despite their significance, South African SMEs continue to register high failure rates, low growth rates, and short lifespan, particularly in unstable industries. Existing research has consistently cantered on the determinants of firm performance but has been remiss in considering the combined effect of firm size, financial turnover, and performance on lifespan in SMEs—specifically in diversified industrial settings. Bridging the research gap in extant research, the present research considered the interrelationship between the aforementioned variables in the best-performing and poorest-performing industries in South Africa, Manufacturing and Construction industries. The study used a correlational research design and collected data from 204 SMEs using structured questionnaires to gauge the number of employees, turnover per year, and operation period in years. Pearson correlation analysis established that in the Manufacturing industry, longevity was weakly and significantly interrelated with turnover and size but in the Construction industry was weak or statistically non-significant. Contrastingingly, when both industries were combined together, weak but statistically significant interrelationship was established between longevity and both turnover and size, but a strongly positive interrelationship was established between turnover and size. The results conclude that firm size and financial performance are key drivers of the lifespan of SMEs, especially in more stable industries.

This paper evaluates how the perceptions of consumers from different demographic backgrounds influence their adoption and use of digital personal banking, and suggests marketing activities required to increase digital banking by these different demographic target groups. The method involved an online survey of a sample of 400 respondents with bank accounts in the iLembe district of KwaZulu-Natal, South Africa, focusing on the demographic dimensions of age, gender, education and income. The study found that high digital banking users were older (24+), with higher education and a higher income, while low digital banking users were younger (18-23), with a lower level of education and a lower income. No differences according to gender were found. The convenience of digital banking and a good online banking experience were the factors that most encouraged digital banking use by high users, while perceptions of high cost and having low control over their online banking activities were factors that discouraged low users from more digital banking use. These findings confirmed the previous research about the influence of age and education on digital banking use, but contributed new knowledge about the influence of income, and the lack of influence of gender, on digital banking adoption and use. Comprehensive recommendations for banks, policy makers and other stakeholders are provided.