Systematic Review as a Research Method to Establish the Concept of Value Leaks During Project Deployment

Abstract

Systematic literature review is considered an important research methodology that can equip practising managers with the knowledge to solve problems in their field. However, there is insufficient research in project management that attempts to provide managers with information on how systematic literature review can help solve problems. Most research works answer theoretical questions for academic purposes rather than address work related issues faced by these managers in their line of work. In addressing this gap, this study adopted a systematic literature review as a research methodology to establish a demonstrative concept of value leaks problem during project deployment. As emphasised in the project business case, project value leak is a serious issue in project management. The ability to control or avert it can make or break a project’s value success. The findings clarify how systematic literature review aided the establishment of value leak’s concept during project deployment. First, the study formulates the factors that propel an occurrence of value leaks, which might traditionally be considered a slip during project deployment. Second, it situates value leaks from earned value analysis (EVA) perspective as a widely accepted technique to assess and report project performance. Third, it establishes value leaks’ causal factors and their sources of origin. Beyond equipping managers with problem-solving knowledge, the findings culminate in developing the value leaks diagnostic model, which serves as a guide and diagnostic mechanism to create and maintain value through project management practitioners’ projects, regardless of the industry. In addition, this study contributes to the contemporary literature in project management as the concept of project value leaks is still gaining prominence, and the adoption of a systematic review as a research methodology to establish this concept advances knowledge