Global Journal of Management and Business Research, E: Marketing, Volume 23 Issue 1

VI. S tructural M odel After surpassing the satisfactory requirements for measurement model, this study evaluated the structural model with 5000 resampling bootstrapping technique. Chin (1998) noted that the value of R2 of dependent construct can be used as the predictive power of the model. Falk and Miller (1992) noted that more than 30% of variance explained by an endogenous construct indicates that a model is satisfactory and substantial. This study revealed that the R2 value for BI is 60.50% and AUB is 29.80%, indicates the model is suitable. On the other hand, the result of hypotheses testing suggests that the SI (H3) and PV (H6) were not significant considering the significant level at P<0.05. All other hypotheses i.e., eight out of ten hypotheses were revealed significant (Table 4 and Fig 3). Table 4: Hypotheses Testing for Direct Effects Hypotheses Relationships Std Beta Std Error T-value P Values Comments H1 PE -> BI 0.149 0.065 2.290 0.022 Supported H2 EE -> BI 0.168 0.054 3.207 0.001 Supported H3 SI -> BI 0.036 0.037 0.964 0.335 Not Supported H4a FC -> BI 0.183 0.064 2.866 0.004 Supported H4b FC -> AUB 0.226 0.076 2.942 0.003 Supported H5 HM -> BI 0.224 0.042 5.296 0.000 Supported H6 PV -> BI -0.010 0.042 0.386 0.700 Not Supported H7 HT -> BI 0.169 0.061 2.764 0.006 Supported H8 HC -> BI 0.236 0.048 4.872 0.000 Supported H9 BI -> AUB 0.379 0.076 4.974 0.000 Supported Fig. 3: Structural Model (Bootstrapping Result) a) Moderating Effect of Age The moderating effect of age was tested by employing PLS- multigroup analysis (PLS-MGA). The respondents were divided into two groups namely, young (age less than 40) and elderly (age higher than 40) for operating PLS-MGA. As stated by Sarstedt et al. (2011), PLS-MGA is the very conservative technique for assessing significant variations in multi-group. Significant variance in the two groups were tested and identified that the relationships between EE and BI, HT and BI, and HC and BI were significantly different for two groups as presented in the (Table 5). Understanding the Age Differences in Adopting WFTs: An Extension of the UTAUT2 Model 9 Global Journal of Management and Business Research Volume XXIII Issue I Version I Year 2023 ( )E © 2023 Global Journals