The Effects of Knowledge Base Diversity on Cross-Industry Innovation Performance: The Moderating Role of Network Embeddedness

Table 2

Hierarchical regression results.

Variable	Model 1	Model 2	Model 3	Model 4	Model 5	Model 6	Model 7
KS	−0.34	−0.14	−0.15	−0.24	−0.22	−0.27	−0.22
KB	0.77	0.18	0.17	0.44	0.44	0.43	0.45
RKBD		0.83	0.87	0.64		0.64
RKBD^2		−0.18	−0.17	0.33		0.34
NKBD		0.86	0.82		0.84		0.86
NKBD^2		0.41	0.40		0.39		0.35
SE			−0.07	−0.13	−0.06
RE			0.09			−0.04	−0.05
SERKBD				−0.07
SERKBD^2				0.30
SENKBD					0.03
SENKBD^2					0.22
RERKBD						−0.07
RERKBD^2						0.45
RENKBD							0.12
RENKBD^2							0.35
R^2	0.41	0.58	0.59	0.50	0.53	0.51	0.54
F	44.18	55.12	47.17	36.1	41.76	37.54	42.06

, , and suggest that the parameter estimates are significant at 1%, 5%, and 10%, respectively.