Table 10 Endogenous variable actual use
From: Using artificial intelligence for hiring talents in a moderated mechanism
Exogenous construct | PLS-SEM results | PLS-SEM (Paths; p-value) | NCA results | NCA (d; p-value) | Interpretation |
|---|---|---|---|---|---|
IU | Significant | 0.340; p < 0.05 | Necessary condition | 0.221; p < 0.05 | On average, an increase in the intention of AI adoption in hiring talent will increase its adoption. Also, adoption intention needs to have a certain minimum level to actual adoption |
PE SI TC | Insignificant | PE: 0.085; p > 0.05 SI:0.018; p > 0.05 TC: 0.016; p > 0.05 | Not necessary condition | PE: 0.013; p > 0.05 SI:0.000; p > 0.05 TC:0.000; p > 0.05 | PE, SI, and TC are neither a must-have nor a should-have condition for AI adoption in hiring talents |
EE FC HM | Significant | EE: 0.102; p < 0.05 FC: 0.094; p < 0.05 HM: 0.186; p < 0.05 | Not necessary condition | EE: 0.037; p > 0.05 FC: 0.024; p > 0.05 HM: 0.016; p > 0.05 | On average, an increase in the EE, FC, and HM of AI adoption in hiring talent will increase its adoption. However, no minimum level of EE, FC, and HM is needed for the adoption |