ProjMAN seeks high-quality contributions on project management, including theoretical foundations, innovative practices,
case studies, experiences, among others.
Recommended topics include (but are not limited to) the following.
Agile Frameworks and Scaled Agile Approaches
Agile Project Governance and Adaptive Leadership
Project Audits and Compliance Management
Strategic Communication Management in Projects
Contract Lifecycle and Procurement Management
Cost Estimation, Control, and Value Engineering
Critical Success Factors and Project Performance Metrics
Project Management Education and Professional Development
Ethical Decision-Making in Project Environments
Human Resource Optimization in Project Teams
Innovation and Technology Adoption in Project Management
Management of Large-Scale and Complex IT Projects
Conflict Resolution and Stakeholder Management
Portfolio Optimization and Strategic Project Selection
Procurement and Supplier Relationship Management
Program Governance and Benefits Realization
Project Closure and Lessons Learned Management
Project Context Analysis and Environmental Influences
AI-Driven Project Monitoring and Control
Project Evaluation and Data-Driven Decision Making
Project Execution Strategies and Agile Delivery Models
Project Initiation and Stakeholder Engagement
Knowledge Areas in Modern Project Management
Lifecycle Approaches in Project Management (Predictive, Agile, Hybrid)
Project Management Offices (PMO) and Enterprise Integration
Project Manager Competencies and Leadership Styles
Skills and Competency Development for Project Managers
Project Planning, Forecasting, and Scheduling
Metrics for Project Success and Value Measurement
Quality Assurance and Continuous Improvement in Projects
Risk Management and Uncertainty in Dynamic Environments
Scope Management and Agile Change Control
Social Dynamics and Cultural Considerations in Project Teams
High-Performance Team Management and Agile Collaboration
Time Management Strategies and Productivity Optimization
Advanced Project Management Tools and AI-Driven Techniques