This study adopted both probability and non-probability sampling. The stratified random sampling was used to select ten tertiary institutions from the population frame of 46, while purposive sampling
Data used to create a treemap of a sample of EPIC’s knowledge exchange outputs between March 2016 and 2019 to illustrate the range of EPIC work. These data represent a subset of those that referenced
Abstract Paper aims This research aims to evaluate factors that influence knowledge sharing in automotive production context in Brazil and China. Originality Despite the growing recognition of the fac
