Impact of Socio-Demographic Factors on the Acceptance of Information Communication and Technology (ICT) for Diabetes Self-care

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Abstract

This research investigates the impact of socio-demographic factors such as age, gender, income and location on ICT acceptance for diabetes self-care. The investigation is due to the increasing number of diabetic patients in South Africa, where large segments of the population experience technological forms of exclusions. The context warrants research in geographical areas where ICT use is not pervasive yet. This research, used the UTAUT model with purposive sampling for 497 diabetic respondents, residing in low socio-economic communities. It analysed survey data using linear regression. It found that age had a strong moderating effect on all four UTAUT constructs. Gender only had a moderating effect on performance expectancy and social influence. In contrast to findings in the extant literature, income and location had no significant moderating effect in this context.

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Petersen, F., Baker, A., Pather, S., & Tucker, W. D. (2020). Impact of Socio-Demographic Factors on the Acceptance of Information Communication and Technology (ICT) for Diabetes Self-care. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12067 LNCS, pp. 73–83). Springer. https://doi.org/10.1007/978-3-030-45002-1_7

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