Comparison of BIM Adoption Models between Public and Private Sectors through Empirical Investigation

Table 11

Summary of hypothesis testing results for both public and private structural models.

BIM adoption drivers	Adoption models
	Public			Private
	Awareness (AW)	Intention (INT)	Decision (DC)	Awareness (AW)	Intention (INT)	Decision (DC)
Relative Advantage (RA)	1.648	1.275	1.365	0.521	0.302	0.631
Compatibility (C)	−1.901	−1.772	−1.924	−0.152	−0.141	−0.134
Complexity (CO)	−0.313	−0.105	−0.209	−0.094	0.105	−0.038
Top Management Support (TOS)	0.778	0.460	0.566	−0.055	0.214	0.272
Organizational Readiness (OR)	−0.491	−0.238	−0.578	0.014	0.052	−0.149
Financial Competency (FC)	0.258	0.594	0.407	0.354	0.459	0.794
Communication Behavior (CB)	−1.707	−1.698	−1.605	0.509	0.116	0.284
Social/Cultural Factors (SCF)	0.814	0.515	0.711	−0.775	−0.918	−1.533
Government Pressure (GP)	2.320	2.128	2.523	−0.720	−960	−1.477
Competitor Pressure (COP)	−1.521	−1.403	−1.295	0.521	0.678	0.976
Customer Pressure (CP)	0.533	0.460	0.453	0.187	0.201	0.316

NB estimates with have p values less than 0.05.