Modelling Construction Business Performance [Gallery, QUT] 2005-017-A

2005-017-A

•

CRCci

•

2005

This project seeks to develop a software prototype that will provide early warning signals to predict the performance of construction firms. By using existing financial...

Overview

This project seeks to develop a software prototype that will provide early warning signals to predict the performance of construction firms. By using existing financial and non-financial data, this software will develop a series of measures that can be leveraged in order to promote business health in the construction industry.

A system that highlights early indicators of potential business distress will enable government authorities charged with the responsibility of monitoring business activity in the construction industry to interact with these firms to ensuremutually satisfactory outcomes. Positive outcomes will have a flow-on effect in terms of safeguarding the business health of construction firms, and the rest of the industry associated with that firm.

Modelling construction business performance (Literature review)

Research Team

Project Leader

Natalie Gallery

Queensland University of Technology

n.gallery@construction-innovation.info

Participants

Roger Frith

Building Commission (Victoria)

Participants

Bob Johnson, Shelly Lockton, Cameron Murphy, Dale Rylko, Jason Smith

Qld Building Services Authority

Participants

Dayv Carter

Qld Department of Public Works

Participants

Michael Falta, Neal Ryan, Steve Su, Roger Willet,

Queensland University of Technology

Project Details

Project Title

Modelling Construction Business Performance [Gallery, QUT] 2005-017-A

Project Number

2005-017-A

Type

CRCci

Date

2005