This study aimed to assess the extent and identify the socio-economic predictors of subjective time poverty across genders, using a general population sample in Gauteng province of South Africa. Based on the composite time poverty index, 22% of men and 16.7% of women report being time poor. The...

In order to better capture non-R&D based processes related to Learning by Doing, Using and Interacting (DUI) as a basis for policy advice, this paper empirically identifies DUI mode drivers of SME innovation. For the first time, a large set of conceptually derived indicators is used in a...

This study assesses the impact of socioeconomic and cultural factors that are likely to have effects on the development of artificial intelligence at the national level. This technology is evaluated both globally and in terms of its components: qualified users, technical capabilities,...