Complexity-predictability project diagnosis model

Albert Boonstra, Cees Reezigt

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

For successful project management, it is essential to adopt a suitable project management approach. This approach must be based on a thorough understanding of the project characteristics in its context. In this paper we present a diagnostic model that aims to advance this understanding. We distinguish three project aspects, namely the project content, the internal context and the external context. Each of these aspects is assessed from two dimensions, namely the degree of complexity and the degree of predictability. Based on these dimensions, four project profiles can be derived: 1) design projects, 2) negotiation and expertise projects, 3) development projects and 4) negotiation, expertise and development projects. This diagnostic model aims to enhance a dialogue among key players about the approach to be followed with regard to the content and context of the project during the planning, execution and evaluation of major projects. The model can also be used as a lens to identify project risks and to propose mitigating actions.
Original languageEnglish
Pages (from-to)337-342
JournalProcedia computer science
Volume164
DOIs
Publication statusPublished - 15 Dec 2019

Keywords

  • project management

Fingerprint Dive into the research topics of 'Complexity-predictability project diagnosis model'. Together they form a unique fingerprint.

  • Cite this