Structure Correlation Between Knowledge-Oriented Culture, Knowledge Sharing, and Innovative Management at Junior High Schools - Innovative Management in Information and Production - page 316

Tabl e 2 Summary of
simultaneous multiple
regression analyses for eight
factors of KOC predicting KS
( N

R 2

Va r i a b l e B S E β t change

Constant 1.695 0.127 13.385***

TA 0.221 0.035 0.241 6.320*** 0.304

ES 0.176 0.034 0.190 5.135*** 0.042

= 967)

OA 0.104 0.028 0.129 3.740*** 0.017

AL 0.099 0.034 0.105 2.904** 0.005

EI 0.066 0.033 0.078 2.022* 0.003

PA 0.052 0.024 0.067 2.003* 0.002

HR 0.047 0.028 0.053 1.966* 0.002

TW 0.043 0.029 0.051 1.875* 0.002

* p < 0 . 05, ** p < 0 . 01, *** p < 0 . 001

Tabl e 3 Summary of simple
regression analyses for KOC
predicting IM ( N

R 2 Va r i a b l e B S E β t

Constant 0.972 0.100 9.749***

= 967)

KOC 0.757 0.022 0.744 34.635*** 0.554

*** p < 0 . 001

Tabl e 4 Summary of
simultaneous multiple
regression analyses for eight
factors of KOC predicting IM
( N

R 2 Va r i a b l e B S E β t change

Constant 0.982 0.105 9.324***

EI 0.138 0.032 0.171 4.902*** 0.414

TA 0.112 0.029 0.147 4.439*** 0.078

= 967)

HR 0.104 0.028 0.126 3.828*** 0.031

AL 0.102 0.028 0.113 3.609*** 0.014

PA 0.098 0.027 0.112 3.100** 0.010

ES 0.082 0.025 0.093 2.862** 0.006

TW 0.068 0.025 0.088 2.439* 0.003

OA 0.052 0.024 0.067 2.215* 0.002

* p < 0 . 05, ** p < 0 . 01, *** p < 0 . 001

Tabl e 5 Summary of simple
regression snalyses for KS
predicting IM ( N =

R 2

Va r i a b l e B S E β t

Constant 1.498 0.113 13.210***

967)

KS 0.613 0.024 0.639 25.773*** 0.407

*** p < 0 . 001

(see Table 3 ). Furthermore simultaneous multiple regression analysis is used for
eight factors of KOC predicting IM. The result shows that all the eight factors of
KOC are proved to have significant influences, which in turn are EI, TA, HR, AL,
PA,ES,TW,andOA(seeTable 4 ). Apparently, EI of KOC is proved to affect IM
the most.

3. KS significantly affects IM, and SB of KS is more influential than SW.

Taking KS as an independent variable and IM as a dependent variable by
means of simple regression analysis, it is found that KS significantly affects IM
(see Table 5 ). Furthermore simultaneous multiple regression analysis is used for two