TABLE 4.

Polynomial regression with response surface analysis.

Variables	Exploitative innovation		Exploratory innovation
	Coefficients	SD	Coefficients	SD
Constant (b0)	3.572***	0.732	4.664***	0.528
Age	–0.056	0.130	–0.083	0.094
Education	–0.074	0.128	–0.104	0.092
Employee	−0.121†	0.062	−0.095*	0.045
Asset	0.365	0.231	0.207	0.167
Loss orientation coping (LOC) (b1)	0.050	0.106	0.055	0.076
Restoration orientation coping (ROC) (b2)	0.276*	0.120	0.043	0.086
LOC squared (b3)	0.238**	0.079	0.134*	0.057
LOC × ROC (b4)	–0.045	0.106	–0.030	0.076
ROC squared (b5)	0.111	0.112	0.064	0.081
a1	0.326*	0.133	0.098	0.096
a2	0.304*	0.134	0.168†	0.087
a3	–0.226	0.183	0.012	0.131
a4	0.394*	0.181	0.228†	0.129

Dependent variable: exploitative innovation, exploratory innovation; significance level: ^†p < 0.10; *p < 0.05; **p < 0.01; ***p < 0.001 (two-tail tests, sample size = 106); a₁ = b₁ + b₂, a₂ = b₃ + b₄ + b₅, a₃ = b₁ – b₂, and a₄ = b₃ – b₄ + b₅, where b₁ is the coefficient for LOC, b₂ is the coefficient for ROC, b₃ is the coefficient for LOC squared, b₄ is the coefficient for LOC × ROC, b₅ is the coefficient for LOC squared.