Regulatory adaptation and cultural training as drivers of project success: The mediating role of communication efficiency in YCIH overseas project delivery networks

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Type of the article: Research Article

Abstract
Drawing on institutional and communication theories, this study tests whether regulatory adaptation and cultural training drive project success and whether communication efficiency mediates these relationships. A mixed-method design was adopted. Quantitatively, a structured questionnaire was administered to project personnel involved in Yunnan Construction and Investment Holding Group (YCIH) overseas delivery in Southeast Asia, yielding 412 valid responses. Partial least squares structural equation modeling (PLS-SEM) with bootstrapping was used to assess the measurement model, direct effects, and mediation. Qualitatively, 18 semi-structured interviews were used to triangulate the interpretation of coordination frictions and improvement levers. The interview evidence indicated that regulatory translation gaps, bilingual document control, culturally different feedback norms, and delayed closure of site issues were recurrent communication bottlenecks. Regulatory adaptation and cultural training positively affect communication efficiency (β = 0.347 and β = 0.359, p < 0.001). Communication efficiency positively affects project success (β = 0.406, p < 0.001). Regulatory adaptation and cultural training also show positive direct effects (β = 0.245 and β = 0.160, p < 0.001). Communication efficiency partially mediated the relationship between regulatory adaptation and project success, and cultural training and project success through significant indirect effects (β = 0.141 and β = 0.146, p < 0.001). The model explains 33.9% of the variance in communication efficiency and 43.6% of the variance in project success. The study integrates regulatory and cultural capability-building into a communication-based mechanism for international project success, providing actionable guidance for contractors operating across institutional and cultural boundaries.

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    • Figure 1. Theoretical model
    • Figure 2. Structural model with standardized path coefficients
    • Table 1. Questionnaire profile
    • Table 2. Respondent profile
    • Table 3. Reliability and validity
    • Table 4. Measurement items fitness statistics (Outer loadings)
    • Table 5. Discriminant validity (HTMT)
    • Table 6. Discriminant validity (Fornell–Larcker; diagonal = √AVE)
    • Table 7. Effects overview
    • Table 8. R-squared statistics and predictive relevance
    • Table 9. Path analysis (Bootstrapping results)
    • Table 10. Hypotheses testing summary
    • Conceptualization
      Chao Cheng, Dhakir Abbas Ali, Rozaini Rosli
    • Data curation
      Chao Cheng
    • Formal Analysis
      Chao Cheng, Rozaini Rosli
    • Funding acquisition
      Chao Cheng
    • Investigation
      Chao Cheng, Dhakir Abbas Ali
    • Methodology
      Chao Cheng, Dhakir Abbas Ali
    • Project administration
      Chao Cheng
    • Resources
      Chao Cheng
    • Software
      Chao Cheng
    • Validation
      Chao Cheng
    • Visualization
      Chao Cheng, Dhakir Abbas Ali, Rozaini Rosli
    • Writing – original draft
      Chao Cheng
    • Supervision
      Dhakir Abbas Ali, Rozaini Rosli
    • Writing – review & editing
      Dhakir Abbas Ali, Rozaini Rosli