Note :
the execution softwares are Matlab software and Stata software.
According to the different test functions,the final execution parameters
are all done in the mean value processing.
(3)The execution parameters are all processed by averaging, and the
modeling steps and processes of structural equation modeling based on
Bayesian estimation are referenced(Wuminglong, 2013; Rongtaisheng,
2009). Firstly, the structural equation model of the set exploration is
adopted to identify the final suitable form of structural equation
model, the index of goodness of fit index of structural equation model
and the significant level corresponding to the path coefficient. Then,
the confidence interval of path coefficients and mean of path
coefficients are calculated by using the structural equation model based
on Bayesian estimation, and this study processes the small sample date
and correlation distribution. The Markov Chain Monte Carlo sample
generation method is adopted for sample and population sampling, and
verifies causal relationships among the simmelian ties, high performance
work practice system, knowledge
fermenting, and knowledge spiral in the theoretical framework, and
reveals the transmission mechanism of the simmelian ties on knowledge
spiral with the high performance work practice system and knowledge
fermenting as conduction variables. Finally, Amos software is used to
estimate the relationships among the four variables in the theoretical
framework, and also estimate the path coefficients and mean values
(whether both the confidence interval of 95% of the significant level
and the mean value of significant level include 0 or not.) based on
Bayesian estimates, and the path coefficients and standardized mean
values (whether both the confidence interval of 95% of the significant
level and the mean value of significant level include 0 or not.) based
on Bayesian estimates which are analyzed in Table 5.
In order to verify the theoretical hypothesis better, this study uses
SEM to highlight the significance of path coefficients and mean values,
and to determine which levels they are significant at among 0.001, 0.01
and 0.05. The significances of the path coefficients and the mean values
follow the significance level of the corresponding path coefficients of
the modified structural equation model. Based on the empirical analysis
of Amos software (as shown in Table 5) ,the strong simmelian ties have
significantly positive effects on the high performance work practice
system (mean value is 0.308, significance level is p<0.05), so
the theoretical hypothesis is verified. The weak simmelian ties have
positive effects on high performance work practice systems, but the
effects are not significant (mean value is 0.017, significance level is
p>0.1), and the theoretical hypothesis is verified. The high
performance work practice system has significantly positive effects on
the knowledge fermenting (mean value is 0.323, significance level is
p<0.01), and the theoretical hypothesis is verified. The
knowledge fermenting has significantly positive effects on the knowledge
spiral (mean value is 0.4401, significance level is p<0.01),
and the theoretical hypothesis is also finally verified. The fitting
optimization index corresponds to the corrected SEM model.
Table5 The results of path coefficients estimation of SEM based on
Bayesian estimation