Fig. 1
Fig. 2
Fig. 3
Results of the Structural Model
| Hypothesis | Β | SD | T Value | Decision | f2 | R2 |
|---|---|---|---|---|---|---|
| United Kingdom | ||||||
| PP -> PS | .184 | 0.060 | 3.156 | 0.004** | 0.160 | 0.761 |
| RM -> PS | .204 | 0.037 | 5.621 | 0.000** | 0.251 | |
| RM*PP -> PS | .189 | 0.057 | 3.315 | 0.002** | 0.371 | |
| Pakistan | ||||||
| PP -> PS | .198 | 0.051 | 3.896 | 0.041** | 0.018 | 0.672 |
| RM -> PS | .431 | 0.084 | 5.130 | 0.000** | 0.211 | |
| RM*PP -> PS | .277 | 0.108 | 2.564 | 0.024** | 0.351 |
Structure of the current research segments
| Literature review | This section contains the critical discussion regarding the research variables, namely, project planning, project success and risk management. Additionally, this section identifies gaps in the literature to develop research hypotheses |
| Research framework and hypotheses | Based on the earlier review of the literature, a conceptual and theoretical model is presented along with the research hypotheses. The hypotheses mainly explain the relationship between project planning and project success together with the moderating effect of risk management |
| Research methodology | The adopted strategies and techniques undertaken in this study are explained in this section. It offers the justification for the selection of the sample size, the instrument and data analysis techniques |
| Results and data analysis | This section contains a measurement model and a structural model. As the first step, the validity of the measurement model is assessed using Cronbach’s alpha, composite reliability, AVE and Fornell-Larcker test. Once the validity of the model is confirmed, the structural model is used to test the research hypotheses using a path coefficient. It also contains the variability assessment and the effect that the size of latent variables has on the endogenous variable. The results showed a significant relationship between project planning and project success as well as the moderating effect of risk management on considered variables |
| Findings and discussion | This part contains findings and discussion regarding the obtained results and their analysis in the light of available literature. It includes the confirmation or rejection of previous findings |
| Conclusion and recommendation | The last section draws the logical conclusion about the relationship. It also provides the recommendations for construction businesses together with guidelines for researchers to validate the theoretical framework as well as attain broader generalizability |
Fornell-Larcker Criterion (validity values of constructs)
| United Kingdom | |||
|---|---|---|---|
| Constructs | PP | MR | PS |
| PP | 0.781 | ||
| RM | 0.691 | 0.724 | |
| PS | 0.712 | 0.661 | 0.776 |
| Pakistan | |||
| PP | 0.726 | ||
| RM | 0.747 | 0.768 | |
| PS | 0.703 | 0.596 | 0.765 |
Reliability values of constructs
| CONSTRUCTS | UNITED KINGDOM | PAKISTAN | ||||
|---|---|---|---|---|---|---|
| Α | CR | AVE | α | CR | AVE | |
| PP | 0.798 | 0.769 | 0.534 | 0.771 | 0.752 | 0.530 |
| RM | 0.757 | 0.724 | 0.521 | 0.721 | 0.719 | 0.512 |
| PS | 0.821 | 0.805 | 0.597 | 0.799 | 0.732 | 0.525 |