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The moderating role of risk management in project planning and project success: Evidence from construction businesses of Pakistan and the UK

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Fig. 1

Research framework of the current study
Research framework of the current study

Fig. 2

Moderating effect of risk management on project planning and project success in the UK’s construction industry
Moderating effect of risk management on project planning and project success in the UK’s construction industry

Fig. 3

Moderating effect of risk management on project planning and project success in the Pakistani construction industry
Moderating effect of risk management on project planning and project success in the Pakistani construction industry

Results of the Structural Model

HypothesisΒSDT ValueDecisionf2R2
United Kingdom
PP -> PS.1840.0603.1560.004**0.1600.761
RM -> PS.2040.0375.6210.000**0.251
RM*PP -> PS.1890.0573.3150.002**0.371
Pakistan
PP -> PS.1980.0513.8960.041**0.0180.672
RM -> PS.4310.0845.1300.000**0.211
RM*PP -> PS.2770.1082.5640.024**0.351

Structure of the current research segments

Literature reviewThis 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 hypothesesBased 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 methodologyThe 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 analysisThis 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 discussionThis 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 recommendationThe 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
ConstructsPPMRPS
PP0.781
RM0.6910.724
PS0.7120.6610.776
Pakistan
PP0.726
RM0.7470.768
PS0.7030.5960.765

Reliability values of constructs

CONSTRUCTSUNITED KINGDOMPAKISTAN
ΑCRAVEαCRAVE
PP0.7980.7690.5340.7710.7520.530
RM0.7570.7240.5210.7210.7190.512
PS0.8210.8050.5970.7990.7320.525