Figure 3
The structural equation model presents relationships among AI adoption, AI technology familiarity, digital culture, digital knowledge capability, and digital knowledge management performance with statistical values. AI adoption includes indicators A I D 1 to A I D 8 with values 21.125, 25.450, 30.266, 19.675, 15.446, 12.439, 18.748, and 43.257. AI technology familiarity includes indicators A I T F 1 to A I T F 5 with values 42.646, 34.166, 34.367, 24.778, and 49.472. Digital culture includes indicators D C 1 to D C 6 with values 46.970, 73.750, 56.334, 13.979, 84.580, and 58.356. Digital knowledge capability includes indicators D K C 1 to D K C 6 with values 74.662, 33.853, 36.876, 38.618, 35.531, and 72.413. Digital knowledge management performance includes indicators D K M P 1 to D K M P 7 with values 19.296, 55.294, 44.805, 92.298, 28.269, 52.118, and 23.520. The relationship value from AI adoption to AI technology familiarity is 41.850. The relationship value from AI adoption to digital knowledge capability is 7.434. The relationship value from AI technology familiarity to digital knowledge capability is 16.452. The relationship value from digital culture to digital knowledge capability is 47.729. The relationship value from digital culture to digital knowledge management performance is 16.242. The relationship value from digital knowledge capability to digital knowledge management performance is 2.980. The interaction term A I A multiplied by A I T F has a value of 5.457. The interaction term D K C multiplied by D C has a value of 2.265. The construct values are 0.617 for AI technology familiarity, 0.744 for digital culture, 0.771 for digital knowledge capability, and 0.839 for digital knowledge management performance.Structural model assessment (Bootstrapping)
Source: Designed by authors using Smart PLS