Abstract

This paper examines the effects of different factors on the success or failure of bids for infrastructure projects in Australia. Logistic regression analysis was used to empirically determine which factors have the largest effect on bid­ding success. Data was collected from 123 bids submitted by several infrastructure companies with subsidiaries in Aus­tralia. The analysis found that having a competitive advantage and a local partner, and also not competing against a local company were the most important factors; as they significantly increase the chances of success. However, four other factors, having relevant expertise, resource availability, a previous relationship with the client, and a previous relation­ship with consortium members, are ‘essential’ to be able to compete; as the absence of any of these four factors results in bid failure, although having them is not a guarantee of success. Results of this paper provide valuable information for any company considering the opportunity of entering into Australia’s infrastructure market as well as for companies that are already present in that country and are considering whether to bid for a specific project.

Highlights

  • One the most important and recurring decisions made by contractors in the construction industry is whether to bid or not to bid for a new project (Dzeng, Wang 2016)

  • Shash (1993) performed a similar study mailing a questionnaire to 300 top contractors in the United Kingdom, identifying the need for work, the number of competitors in the auction, the experience of the bidder, and the difficulty and risk of the project as the four factors that affect the contractors decision to bid for a project

  • With a list of potentially influential factors identified, data was collected from the internal database of 20 companies with subsidiaries in Australia that had been bidding on projects in Australia for up to ten years

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Summary

Introduction

One the most important and recurring decisions made by contractors in the construction industry is whether to bid or not to bid for a new project (Dzeng, Wang 2016). The need for weighting and scoring economic criteria or price-related factors (e.g., life-cycle costs, cost of maintenance, or decommission costs) along with technical criteria (e.g., compliance, time, availability, or quality) is because they are part of a mathematical expression that determines (theoretically) the best return on investment of the procurement of goods, works or services for the owner (Asker, Cantillon 2010) Within this context, this research aims to determine empirically which factors affect contractors’ bidding outcomes (success or failure) in a situation where foreign companies bid for jobs in another country. Some relevant contributions, limitations and recommendations will be drawn

Source of data
Research method
Variables identification
Expert evaluation
Data collection
Statistical analysis and discussion of results
Cross-tabulation analysis
Individual logistic regressions
Multi-factor logistic regression
Findings
Conclusions
Full Text
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