Page 143 - WHERE WE WORK - Schlegelmilch

Ideas in place
Table 4.2 Descriptives and correlations
M SD 1
2 3
-
-.43** -
.08 .03
4 5
-
.40** -
.08 .07 .05 .06 .18** .06 .17** .18** .08 .01 .19** .27**
6 7 8 9 10
-
.99** -
.83** .76** -
1. Gender 0.75
2. Education 3.92
3. Tenure 21.50
0.44 - 1.09 .01 11.42 .14**
4. Work 39.22 3.92
hours
5. Role 1.45 0.75
6. WTRANS 2.21 0.43
7. TVISU 2.42 0.48
8. TTASK 3.04 0.66
9. WFLEX 1.71 1.57
10. IDS 1.21 2.71
11. IDI 2.10 0.45
.46**
.27** -.04 -.05
.17** .09 .04 -.05 .04 -.05 .02 -.03 -.04 -.03
.03
.22**
.02 .02 -.00 .08 .20** -.10
.02 .02 .18** .17** .10* .08
.01 -
.20** .03 - .12* .01 .11*
Note: * p < .05, **p
Tenure (in years). Role (1 = employee, 2 = middle management, 3 = executive level). WTRANS = workplace transparency. TVISU = visual transparency. TTASK = task transparency. WFLEX = workplace flexibility. IDS = idea sharing. IDI = idea implementation.
4.4 Results
4.4.1 Determining model fit
Due to the different distributions of the two dependent variables, we tested the measurement models separately. The measurement model for idea sharing (M4) included workplace transparency and idea sharing, as well as the manifest variable workplace flexibility. It yielded a good fit, χ2 (51) = 108.432, p < .001, CFI = 0.946, TLI = 0.930, RMSEA = 0.055 [0.041; 0.070], SRMR = 0.045, AIC = 162.432. The measurement model for idea implementation (M5) also fit the data well, χ2 (73) = 142.281, p < .001, CFI = 0.950, TLI = 0.938, RMSEA = 0.051 [0.038; 0.063], SRMR = 0.049, AIC = 206.281.
4.4.2 Descriptive statistics
The means, standard deviations, and correlations between study variables are presented in Table 4.2. An initial inspection of the significant correlations indicated no extremely high correlations (all between r = -.43 to r = .46) with the exception of the transparency subdimensions (r VISU, TASK
< .01. N = 368. Gender (0 = female, 1 = male). Education (1 = elementary school to 7 = master’s degree).
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