Modelling project complexity. Issue 2 (4th April 2017)

• Record Type: Journal Article
• Authors: Rolstadås, Asbjørn; Schiefloe, Per Morten
• Is Part Of: International journal of managing projects in business. Volume 10:Issue 2(2017)
• Page Start: 295
• Page End: 314
• Publication Date: 2017-04-04
• Subjects: Project management -- Organizational performance -- Drivers -- Organizational capability -- Modelling -- Project complexity; Project management -- Periodicals; Electronic journals; 658.404
• DOI: 10.1108/IJMPB-02-2016-0015
• Languages: English
• ISSNs: 1753-8378

Abstract

Abstract : Purpose: The purpose of this paper is to enhance the understanding of what project complexity is, what drivers and factors that influence complexity and how consequences for organizational performance can be assessed. Design/methodology/approach: The research is explanatory and based on literature review, model development, interviews and case studies. The model is validated through a case study. Findings: The findings are a model for identifying and analyzing complexity drivers and complexity factors. The model starts with generic complexity drivers such as ambiguity, uncertainty, unpredictability and pace. These drivers are in each project influenced by nature and by socio-political, economic and technological surroundings to result in complexity factors that are specific to the project analyzed. The model can be used to analyze project complexity and to define requirements for the organization of the project and guidelines for the execution. Research limitations/implications: The research is limited to large projects with a technical delivery of some kind of facilities. Practical implications: The model can be used to assess the required capability of the organization for successful project execution. Originality/value: The contribution of the research is a new model for understanding project complexity. The distinction between project complexity drivers and factors is essential as well as the taxonomy for the factors building on and adding to already published research.