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A Journal of University-Industry-Government Innovation and Entrepreneurship

Table 3 Latent factors to barriers to innovation (government)

From: Barriers to innovation: the case of Ghana and implications for developing countries

Number of Factor

Name of Factor

Variables

Factor Loading

Cronbach’s Alpha

Total Varience Explained

KMO

Bartlets Test of Sphericity

Chi Squared

Df

Significance

1

Constrained Human Capital Resources

* Quality of Technically Trained Manpower

0.873

0.798

26.75

0.551

317.755

136

0.000

* Lack of Technically Trained Manpower

0.833

* Lack of Information (Knowledge Gap)

0.622

* Restrictive Public / Governmental Regulations

0.579

2

Unsophisticated Markets

* Lack of Demanding Customers

0.935

0.826

14.152

* Lack of Innovative Customers

0.822

3

Organisational Risks

* Excessive Percieved Economic Risk

0.791

0.532

10.669

* Organisational Rigidities

0.693

4

Constrained ICT Stocks & Flows

* Rate of Access to ICT

−0.809

0.818

9.028

* ICT Capacity

−0.799

* Hierachical Organisations

−0.794

* Brain Drain

−0.651

5

(THIS FACTOR IS NOT RELIABLE AND HENCE NOT NAMED)

* Lack of Higher Resolution Regulations

0.684

−0.08

6.784

* Lack of Competition

−0.578

6

(THIS FACTOR IS NOT RELIABLE AND HENCE NOT NAMED)

* Lack of Finance

0.836

0.458

6.202

* Innovations Costs (Too High)

0.599

Cumulative Total (CTVE)

73.585

  1. NB. Residuals are computed between observed and reproduced correlations. There are 66 (48.0%) non-redundant residuals with absolute values greater than 0.05