Two thousand academics were randomly selected
from twenty universities in the UK were invited to participate in the survey. We sent an email to each sample academic, to
solicit his/her participation in the survey. Four hundred and sixty (460) participants
completed the survey, of which there were 363 usable observations. This gives a
net response rate of 18.15%.
We employed PLS-SEM to analyse the data using
SmartPLS software. PLS-SEM approach is appropriate for our study considering
variance-based PLS-SEM yields consistent estimation outcomes
although it demands fewer requirements than CB-SEM, making it a valuable technique
for theory testing (Götz et al., 2010;
Peng & Lai, 2012).