**B. Appendix B: regression analysis**


b Dependent variable: sales revenue growth.


**Excluded variablesc**

Technology positioning

Dependent variable: sales revenue growth.

**Coefficients<sup>a</sup>**

**ANOVAd**

a

b

c

a

a

b

c

**Model Beta In t Sig. Partial correlation Collinearity** 

1 Strategic R&D −.052<sup>a</sup> −.491 .626 −.064 .705

**Model Unstandardised coefficients Standardised** 

Predictors: (constant), capital investment, employees, strategic R&D, technology positioning.

**B Std. error Beta** 1 (Constant) −440.577 125.548 −3.509 .001

**Model Sum of squares df Mean square F Sig.** 3 Regression 8150611.362 4 2037652.841 17.234 .000<sup>c</sup>

Residual 6739541.766 57 118237.575

Total 1.489E7 61

Predictors: (constant), capital investment, employees, strategic R&D.

Predictors: (constant), capital investment, employees.

<sup>d</sup>Dependent variable: sales revenue growth.

2 (Constant) −416.552 135.523 −3.074 .003

3 (Constant) −640.907 244.923 −2.617 .011

Employees 40.917 53.711 .094 .762 .449 Capital investment 342.801 63.427 .664 5.405 .000

Employees 47.858 55.881 .109 .856 .395 Capital investment 350.486 65.733 .679 5.332 .000 Strategic R&D −27.306 55.663 −.052 −.491 .626

Employees 44.717 55.855 .102 .801 .427 Capital investment 351.309 65.620 .681 5.354 .000 Strategic R&D −79.027 72.820 −.151 −1.085 .282

123.035 111.967 .141 1.099 .276

**coefficients**

Influence of Strategic Technology Management on Smart Manufacturing: The Concept of…

2 Technology positioning .141<sup>b</sup> 1.099 .276 .144 .481

Predictors in the model: (constant), capital investment, employees.

Dependent variable: sales revenue growth.

Predictors in the model: (constant), capital investment, employees, strategic R&D.

Technology positioning .051<sup>a</sup> .520 .605 .068 .826

**statistics tolerance**

**t Sig.**

http://dx.doi.org/10.5772/intechopen.72184

109

a Predictors: (constant), capital investment, employees.

b Predictors: (constant), capital investment, employees, strategic R&D.

c Predictors: (constant), capital investment, employees, strategic R&D, technology positioning.



a Predictors: (constant), capital investment, employees.

b Predictors: (constant), capital investment, employees, strategic R&D.

c Predictors: (constant), capital investment, employees, strategic R&D, technology positioning.

<sup>d</sup>Dependent variable: sales revenue growth.

**B. Appendix B: regression analysis**

Extraction method: principal component analysis.

Four components extracted.

**Variables entered/removedb**

All requested variables entered.

Dependent variable: sales revenue growth.

Predictors: (constant), capital investment, employees.

Predictors: (constant), capital investment, employees, strategic R&D.

Total 1.489E7 61

Total 1.489E7 61

R&D success rewarded .895 High R&D investment .858 Ensuring high returns on R&D investment .894 External R&D funding .753

**Component**

**Model Variables entered Variables removed Method** Capital Investment, employees<sup>a</sup> . Enter Strategic R&D<sup>a</sup> . Enter Technology positioninga . Enter

**Model R R square Adjusted R square Std. error of the estimate**

1 .732<sup>a</sup> .536 .520 342.24750 2 .733b .538 .514 344.47139 3 .740<sup>c</sup> .547 .516 343.85691

Predictors: (constant), capital investment, employees, strategic R&D, technology positioning.

Residual 6910867.880 59 117133.354

Residual 6882311.420 58 118660.542

**Model Sum of squares df Mean square F Sig.** 1 Regression 7979285.248 2 3989642.624 34.061 .000<sup>a</sup>

2 Regression 8007841.708 3 2669280.569 22.495 .000<sup>b</sup>

**1 2 3 4**

**Component matrixa**

108 Digital Transformation in Smart Manufacturing

a

a

b

a

b

c

**ANOVAd**

**Model summary**


a Dependent variable: sales revenue growth.


a Predictors in the model: (constant), capital investment, employees.

b Predictors in the model: (constant), capital investment, employees, strategic R&D.

c Dependent variable: sales revenue growth.
