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Figure WA5. Finsaas and Goldstein (2020) 3-D interaction of information-based and constituency-building CPS in predicting firms’ social capital
The surface maps social-capital scores (Z-axis, centred) across information CPS (X-axis) and constituency CPS (Y-axis), controlling for financial incentives and standard firm covariates. Blue–white shading marks the region where the constituency-CPS slope is significant (Johnson–Neyman test); the solid green band shows the corresponding region for the information-CPS slope. The grey crossover line indicates where the constituency effect would change sign.
Figure WA4. Finsaas and Goldstein (2020) 3-D interaction of information-based and constituency-building CPS in predicting firms’ political access
The surface plots political access (Z-axis, centred) across information CPS (X-axis) and constituency CPS (Y-axis), controlling for financial incentives and other firm covariates. Blue–white shading marks the region in which the simple slope of constituency CPS is statistically significant (Johnson–Neyman test); the solid green band shows the corresponding region for the information-CPS slope. The grey line traces the crossover point where the constituency effect reverses sign.
Figure WA3. Finsaas and Goldstein (2020) 3-D interaction of information-based and constituency-building corporate‐political strategies in predicting relationship building
The surface shows how relationship building (Z-axis, centred) varies across the joint range of financial-incentive CPS (X-axis) and constituency CPS (Y-axis), after controlling for information CPS and standard firm covariates. Blue-to-white shading marks the region of significance for the slope of constituency CPS (Johnson–Neyman test); the solid green band denotes the analogous region for the financial-incentive slope. The grey line traces the crossover point where the effect of constituency CPS changes sign. The plot indicates that financial incentives boost relationship building only when paired with moderate-to-high constituency-building efforts.
Figure WA2. Finsaas and Goldstein (2020) 3-D interaction of information-based and constituency-building corporate‐political strategies in predicting stakeholder support
The interactive plot surface depicts the regression plane from in which information CPS (X-axis, centred) and constituency CPS (Y-axis, centred) jointly predict firms’ stakeholder support (Z-axis). Regions of significance are super-imposed: the blue-to-white gradient highlights where the simple slope of constituency CPS on stakeholder support is significant across the information-CPS range (Johnson–Neyman test), while the solid green bands mark the corresponding region for the information-CPS slope across constituency CPS. The grey line running across the surface traces the crossover point at which the constituency-based effect flips sign.
Figure WA1. Finsaas and Goldstein (2020) 3-D interaction of information-based and constituency-building corporate‐political strategies in predicting organisational reputation
The interactive Plotly surface depicts the regression plane as per Finsaas and Goldstein (2020) in which information CPS (X-axis, centred) and constituency CPS (Y-axis, centred) jointly predict firms’ reputation (Z-axis). Regions of significance are super-imposed: the blue-to-white gradient highlights where the simple slope of constituency CPS on reputation is significant across the information-CPS range (Johnson–Neyman test), while the solid green bands mark the corresponding region for the information-CPS slope across constituency CPS. The grey line running across the surface traces the crossover point at which the constituency-based effect flips sign.