Enterprise Project Portfolio Management: Building Competencies for R & D and IT Investment Success

Section 1 Introduction to Enterprise Project Portfolio Management ch. 1 Basic Concepts of Enterprise Project Portfolio Management 1.1.The R&?D Portfolio 1.2.The IT Portfolio 1.3.The CREOPM[&?#x2122;] Framework 1.4.Organizational Dynamics Behind Enterprise Project Portfolio Management 1.5.The Future of Enterprise Project Portfolio Management Section 2 Prerequisites for Enterprise Project Portfolio Management ch. 2 Scenario Analysis and Strategic Planning 2.1.Key Concepts of Strategic Planning 2.2.Summary ch. 3 Decision Framing and Data Integrity 3.1.Key Concepts of Decision Framing and Data Integrity 3.2.Summary Section 3 CREOPM[&?#x2122;]: A Framework for Enterprise Project Portfolio Management ch. 4 Project Categorization 4.1.Key Concepts of Project Categorization 4.2.Summary ch. 5 Risk Analysis 5.1.Key Concepts of Risk Analysis 5.2.Summary ch. 6 Integrated Evaluation Contents note continued: 6.1.Key Concepts of Integrated Evaluation 6.2.Summary ch. 7 Portfolio Optimization 7.1.Key Concepts of Portfolio Optimization 7.2.Summary ch. 8 Project Prioritization 8.1.Key Concepts of Project Prioritization 8.2.Designing Prioritization Models An Example 8.3.Summary ch. 9 Best Practices in Portfolio Management 9.1.Capability Maturity Model 9.2.Portfolio Analysis and Presentation 9.3.Risk Management 9.4.Resource Management 9.5.Stakeholder Management 9.6.A Practical Approach to Improving Portfolio Management Competencies 9.7.Summary Section 4 Case Studies in Enterprise Portfolio Management ch. 10 Case Study in IT Portfolio Management 10.1.Case Study Outline: SIRC Corporation 10.2.SIRC IT Portfolio Selection 10.3.Prioritization vs. Optimization Lessons Learned 10.4.Summary ch. 11 Case Study in R&?D Portfolio Management 11.1.Introduction to the R&?D Case Study Contents note continued: 11.2.Portfolio Selection Based on Project Prioritization 11.3.Portfolio Selection Based on Deterministic Optimization 11.4.Portfolio Selection Based on Stochastic Optimization 11.5.Summary ch. 12 Epilogue Appendix A A Primer in Decision Analysis A.1.Introduction to Decision Analysis and Its Utility in Decision Making A.2.Risk The Language of Probability A.3.Uncertainty The Language of Outcomes A.4.Decision Making Under Conditions of Risk and Uncertainty A.5.Summary Appendix B A Primer in Mathematical Programming B.1.Mathematical Programming B.2.Linear Programming B.3.Goal Programming and Multiple Objective Linear Programming B.4.Stochastic Optimization Appendix C MODA Models for IT Investment Prioritization Appendix D SIRC's Enterprise IT Portfolio.