• benefits of BIM were already high and that EOT therefore had little
• benefits of BIM were already high and that EOT therefore had little
ER: Employee Resources opportunity to influence this perception. Alternatively, the benefits of
• ITU: Intention To Use
BIM could have been covered early in any combination of courses and subsequent additional days did not contribute further. (Analysis
Statistically significant relationships are shown in bold text. of the relative Usefulness scores for those who have not attended training might shed some light on this interpretation). The lack of a
relationship between perceived Ease of Use and EOT is also puzzling as one might expect that more training would increase the trainee’s
Table 1: Relationships between BIM training and BIM adoption variables
confidence in using BIM. For this sample, those with high scores (in days) for EOT had attended technical training courses which might
EOT have exposed trainees to the complexity and difficulty of BIM software TR
.184 of which those who had only attended introductory course remained EOU
.166 .681 ** unaware (Further categorical analysis could test this possibility). U
In contrast to EOT, Training Reactions showed moderate to strong .490 **
ER .293 **
relationships with TAM variables. This implies that it is the positive ITU
response to training, rather than the skills acquired, that is beneficial for promoting BIM adoption. However, it is important to remember that
**. Correlation is significant at the 0.01 level (2-tailed). TR and TAM variables were measured at the same time making these correlations prone to inflation due to common-method variance. Note
*. Correlation is significant at the 0.05 level (2-tailed). that the relationships with the differently and ‘objectively’ measured EOT were much lower.
The variables in Table 1 are generally, but not completely, inter- Although the model in Figure 1 suggests that the relationship correlated as would be predicted from the theoretical model in Figure
1. There are moderate to strong significant relationships between between training variables and Intention to Use (ITU) are via the TAM variables this is reflected on significant relationships between
the TAM variables and moderate to weak relationships between ITU and TR (moderate) and EOT (weak). This pattern of correlations TAM variables and Intention to Use. There is a clear difference in
is similar to that between the training and TAM variables and the the pattern of the relationships between Training variables and TAM
interpretations above are also applicable. It is worth reflecting on variables: Training Reaction shows moderate to strong correlations
fundamental alternative interpretations of these relationships due with TAM variables while Extent of Training shows only weak
to the cross-sectional nature of the research. While the significant significant relationships or none. relationships are consistent with the causal assumptions in Figure
1 it is not possible to rule out alternative causal paths. For example,
a strong ITU might prompt someone to seek out and attend BIM training. Equally, relationships seen may be due to the measured variables both being related to an unmeasured third variable, e.g. an employee who has been assigned to a BIM project might score highly on both EOT and ITU without the training having had any actual effect on intention.