Table 9 Endogenous variable intention to 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 |
|---|---|---|---|---|---|
PE | Significant | 0.143; p < 0.05 | Necessary condition | 0.063; p < 0.05 | If the PE of AI adoption in hiring talent goes up, the intention to adopt will, on average, go up as well. Also, AI in hiring talents must have a certain minimum level of PE in order to form the intention |
EE SI TC | Insignificant | EE: -0.060; p > 0.05 SI:0.056; p > 0.05 TC: − 0.030; p > 0.05 | Not necessary condition | EE: 0.000; p > 0.05 SI:0.000; p > 0.05 TC:0.000; p > 0.05 | EE, SI, and TC are neither must-have nor should-have conditions to form the intention of AI adoption in hiring talents |
FC HM | Significant | FC: 0.154; p < 0.05 HM: 0.378; p < 0.05 | Not necessary condition | FC: 0.062; p > 0.05 HM: 0.008; p > 0.05 | On average, an increase in FC and HM adoption of AI for talent acquisition will increase a company’s intent to adopt AI. However, there is no minimum requirement for FC and HM to form the intent |