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A Journal of University-Industry-Government Innovation and Entrepreneurship

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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