Skip to main content

Table 8 PLS path model’s predictive accuracy

From: Assessing the impact of corporate entrepreneurship in the financial performance of subsidiaries of Colombian business groups: under environmental dynamism moderation

Exogenous construct SSOb SSEc Q2 (=1-SSE/SSO)d
AU a 3,480,000 2,226,190 0.3603
AG 1,740,000 1,265,015 0.2730
CV 1,305,000 1,305,000  
BC 4,350,000 2,610,852 0.3998
EO 1,479,000 1,479,000  
ED 2,610,000 2,610,000  
EG 3,480,000 2,083,007 0.4014
IN 3,480,000 2,064,864 0.4066
PR 3,480,000 1,598,949 0.5405
PI 3,480,000 1,628,330 0.5321
RT 2,610,000 1,207,631 0.5373
TE 1,740,000 1,217,996 0.3000
  1. Source: computed by the author using Smart PLS 3
  2. aThe first column includes principal latent variables that are used in this study: autonomy (AU), aggressiveness (AG), corporate venturing (CV), business creation (BC), entrepreneurial orientation (EO), environmental dynamism (ED), expansion and growth (EG), innovativeness (IN), proactiveness (PR), product innovation (PI), risk-taking (RT), and technological entrepreneurship (TE)
  3. bSSO sum of the squared observations
  4. cSSE sum of the squared prediction errors
  5. dQ2>0 exogenous constructs have predictive relevance for endogenous ones