Organizational Performance Through Project Management: the Added Value of Total Quality Management, Six Sigma, and Agile
Year: 2025
Type: conference-paper
Abstract: This study aims to demonstrate that a hybrid project management framework, which integrates Total Quality Management (TQM), Six Sigma, and Agile methodologies, is more effective than traditional project management approaches in improving project outcomes related to quality, efficiency, and stakeholder satisfaction. In this regard, the research presents a hypothetical project within an organization, simulating two defined groups: control (traditional methods) and experimental (integrating TQM, Six Sigma, and Agile). The proposed case study provides a structured approach to highlight that a hybrid project management approach improves efficiency and performance at both the project implementation and organizational levels, compared to the traditional project management methodology. Research is based on generated data and statistical analyzes, with criteria defined to assess improvements in quality, efficiency, and stakeholder satisfaction. A key strength of the research is that the analysis includes User Acceptance Testing (UAT) and two statistical tests: ttests and p-value tests, to identify statistically significant differences between the traditional and hybrid groups. The findings indicate that the integrated methodology significantly improves the project results in all measured criteria. Specifically, it improves deliverable quality, reduces project completion time and costs, increases stakeholder satisfaction, and suggests that the integration of proposed methodologies redefines best practices in project management, offering a more effective alternative to traditional approaches. In general, the results highlight the potential of the combined approach to improve project management practices and deliver better results, contributing to a deeper understanding of how the integration of modern methodologies redefines success in project management.
Institution: Bucharest University of Economic Studies
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4408912146