Table 4.
Data analysis technique used in KM in SMEs research
| Data analysis technique | Number | % |
|---|---|---|
| Cluster analysis | 2 | 1.3 |
| Confirmatory factor analysis | 1 | 0.6 |
| Content analysis | 6 | 3.8 |
| Correlation analysis | 9 | 5.7 |
| Analysis of variance (ANOVA) | 2 | 1.3 |
| Descriptive analysis | 11 | 7.0 |
| Elliptically reweighted least square | 1 | 0.6 |
| Factor analysis | 5 | 3.2 |
| Partial least square | 4 | 2.6 |
| Information-content analysis | 1 | 0.6 |
| Least square method | 1 | 0.6 |
| Machine learning technique | 1 | 0.6 |
| Multivariate analysis of variance (MANOVA) | 1 | 0.6 |
| Multiple-criteria decision-making (MCDM) | 1 | 0.6 |
| Path analysis | 1 | 0.6 |
| Regression | 20 | 13.0 |
| Structural equation modelling (SEM) | 36 | 23.0 |
| Covariance-based SEM (CBSEM) | 3 | 1.9 |
| Partial least squares structural equation modelling (PLS-SEM) | 22 | 14.0 |
| Fuzzy-set qualitative comparative analysis (fsQCA) | 2 | 1.3 |
| Thematic analysis | 25 | 15.9 |
| Chi-square | 1 | 0.6 |
| T-test | 1 | 0.6 |
| 100 |