Taxonomy of project complexity indicators in energy megaprojects

Ehsan Kian Manaesh Rad, Ming Sun

Research output: Contribution to conferencePaperpeer-review

299 Downloads (Pure)

Abstract

A megaproject is characterised by its large size of investment, long project duration and high level of technical and process complexities. Megaprojects in the energy sector might include nuclear power plant construction, oil exploration and wind farm installation. There is strong evidence that these types of projects often experience problems in practice, partly due to the increased complexity and the lack of appropriate tools to evaluate and manage that complexity. In addition, a total absence of consensus on any definition of project complexity, as well as assessment criteria and indicators, has produced confusion amongst practitioners when evaluating project complexity in practice. This study aims to fill this gap by (1) systematically reviewing and synthesising literature on project complexity and energy megaprojects; (2) developing a project complexity taxonomy, which consists of a comprehensive list of indicators; (3) providing a method for determining the weights for different indicators in order to calculate a composite complexity index. The taxonomy consists of a total of 76 indicators, which are divided into two groups: external indicators and internal indicators. Each group is further divided into two and three levels respectively.
Original languageEnglish
Publication statusPublished - 2014
EventInternational Scientific Conference People, Buildings and Environment 2014 - Kroměříž, Czech Republic
Duration: 15 Oct 201417 Oct 2014

Conference

ConferenceInternational Scientific Conference People, Buildings and Environment 2014
Abbreviated title(PBE2014
Country/TerritoryCzech Republic
CityKroměříž
Period15/10/1417/10/14

Keywords

  • Energy
  • Megaprojects
  • Project complexity
  • Taxonomy

Fingerprint

Dive into the research topics of 'Taxonomy of project complexity indicators in energy megaprojects'. Together they form a unique fingerprint.

Cite this