Table 6 The regression results in PAPER, PATENT and STA PLS-SEM models.

From: Defining organized R&D: collective action for mission-oriented innovation

Paths

PAPER

STA

PATENT

“public funding” to “research team”

0.124***

0.123***

0.123***

 

(0.012)

(0.012)

(0.012)

“academic milieu” to “research team”

0.407***

0.407***

0.406***

 

(0.017)

(0.017)

(0.017)

“human resource” to “research team”

0.379***

0.379***

0.380***

 

(0.014)

(0.014)

(0.014)

“research team” to “output”

0.035**

0.055***

0.074***

 

(0.011)

(0.014)

(0.011)

“input” to “output”

0.367***

0.616***

0.683***

 

(0.014)

(0.022)

(0.015)

“personnel” to “output”

0.427***

-0.057***

0.042***

 

(0.012)

(0.016)

(0.012)

\({R}^{2}\) (goodness of fit)

0.504

0.342

0.504

  1. The estimates of regression coefficients are based on original data, and the estimates of standard deviations are using bootstrapped data. *p < 0.1; **p < 0.05; ***p < 0.01.