International Journal of Research Studies in Management
CollabWritive Special Issue
2024 Volume 12 Issue 6
Available Online: 15 July 2024
Author/s:
Wang, Yican
Graduate School, Lyceum of the Philippines University – Batangas, Philippines
Abstract:
In today’s competitive engineering landscape, successful project delivery hinges on a robust framework. This dissertation explores the critical role of pre-project management practices, progress control methods, and data application. By analyzing how these elements function within engineering companies, it aims to establish a foundational framework for optimal project delivery. This framework will equip engineering firms to navigate complex projects efficiently, ensuring successful completion within budget and timeframe. The study evaluated the pre-project management practices， progress control and data application used in engineering companies in China. This dissertation employed descriptive research methods, utilizing questionnaire surveys to gather data from a representative sample. The collected data underwent regression analysis to identify relationships between variables, and analysis of variance (ANOVA) to assess potential differences between groups. The “highly significant” correlations across all pre-project management practices and progress control measures suggest a robust and statistically sound association. This implies a directional relationship, where improvements in pre-project practices tend to lead to better progress control throughout the project lifecycle. Conversely, neglecting these practices might contribute to difficulties in managing project progress. The consistent “highly significant” correlations across all variables suggest a strong, positive association between the quality of pre-project management practices and the level of data application. This implies that robust pre-project planning (encompassing areas like forecasting, construction, quality management, productivity, and dependability) fosters a culture of data-driven decision-making. In other words, companies with well-defined pre-project processes are more likely to leverage data effectively throughout the project lifecycle. The consistent “highly significant” findings from the statistical analysis point towards a robust and statistically reliable association between progress control and data application across various project management domains. These strong positive correlations suggest a synergistic relationship, implying that effective data application is not just beneficial but also potentially essential for achieving better progress control in diverse project management aspects.
Keywords: pre-project management practices, progress control data application, project delivery framework
DOI: https://doi.org/10.5861/ijrsm.2024.1073
Cite this article:
Wang, Y. (2024). Pre-project management practices, progress control and data application in engineering companies: Basis for project delivery framework. International Journal of Research Studies in Management, 12(6), 1-10. https://doi.org/10.5861/ijrsm.2024.1073