Unpacking Performance Development in the CPEC: A Multifaceted Approach Examining the Effects of Political Risk on CPEC Performance Development

Abstract

This model aims to understand and predict how CPEC performance is influenced by a combination of factors gathered from employee data (political risk perception), external factors (environmental protection policies), human capital factors (educational development), and project management practices (technology adoption). Data were collected from 600 CPEC employees across Pakistan. PLS-SEM was employed to analyze the hypothesized relationships. The findings reveal all four hypotheses to be statistically significant and positive. Lower employee perceptions of political risk, stronger environmental protection practices, educated workforce, and higher levels of technology adoption were all associated with improved CPEC performance development. These results highlight the importance of a multifaceted approach that considers employee perceptions, project management practices, and external factors for achieving success in large-scale infrastructure projects. By analyzing these factors, model can offer valuable insights to stakeholders involved in CPEC. Understanding how these variables interact and impact performance can inform decision-making to improve project outcomes.