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Making the right bid/no-bid decision is critical to the success and development of construction contracting enterprises. Decision makers’ personal characteristics, such as risk perception and propensity, have great impact on bid/no-bid decisions, which is the major concern of this research. The purpose of this paper is to explore the relationship among decision makers’ risk perception, risk propensity, and their bid/no-bid decision making of construction projects, as well as the factors influencing the risk perception and propensity.

In total, four hypotheses were proposed based on an extensive literature review. Experimental questionnaires were distributed to employees working in Chinese construction contracting enterprises with knowledge of construction bidding, and 134 valid questionnaires were obtained. Multivariate statistical analysis through SPSS 19.0 was used to analyze the acquired data.

Data analysis shows that in the context of international construction contracting: risk perception has a negative influence on bid/no-bid decision making; while risk propensity produces a positive influence and the probability and magnitude of potential gain or loss both have significant impacts on risk perception, and the probability plays a more important role.

This research studied the bid/no-bid decision making of construction projects from the new perspectives of risk perception and risk propensity of the decision makers.

The normative literature suggests that there are more than seventy decision factors that contractors must consider if they intend to success in their bid and projects. In addition, such factors have been grouped in relation to project characteristics, client attributes, contractors' business administration and external factors. The extant literature suggests that the relationships between many of the bid decision factors are orthogonal and may not explain how bid-decisions shape project outcomes.

This knowledge gap has stagnated research in this area. Building on findings of recent studies, this study unbundles bid decision themes by analysing key factors amongst contractors' administrative characteristics. In addition, the study determines intrinsic predictive correlation between the sub-themes. A total of 17 variables were listed in a structured questionnaire survey and presented to participants recruited through purposive snowballing. In total, 50 responses were received and formed the basis of descriptive and inferential statistical analyses.

The study found that the 17 factors are significant in bid decisions and consequently in bid successes. However, the explanatory variables attached to the themes are most efficient if categorised into six sub-themes. These are contractor's administration depth, strategic direction, commercial intention and own market advantage, resources, experience as well as openness to technology imposed by new projects. Furthermore, four theoretical positions are significant. Contractors bid for projects strategically; they are less reliant on their resource capabilities in bid decisions; every bid decision aligns with a risk strategy, and financial stability enables them to establish appropriate risk mitigation arrangements that could ensure project success.

These findings provide some support for the conceptual premise that bid decisions need to be rational, considered and strategically contribute to project outcomes.

The purpose of this study is to investigate and rank the critical factors influencing the bid/no bid criteria and their importance in the Australian construction industry.

The research study has been undertaken by conducting an extensive literature review on bid/no bid decision-making criteria. As a result, the researchers identified 26 most common bid/no bid decision-making criteria that are accordingly grouped into five distinct categories, namely, “project”, “market”,“contractor”, “client” and “contract”. The literature review was followed by a national survey that was designed and utilised by the researchers to collect data for this purpose. The survey was sent to potential 450 Australian construction companies in various locations and responses were received from 81 Australian construction companies. Response data were subjected to descriptive and inferential statistics. Kruskal Wallis one-way analysis of variance (ANOVA) was applied to detect significant differences between the mean score grouped according to the organisation size (contract value).

The descriptive and empirical analysis demonstrated a disparity of ranking of the 26 bid/no bid criteria factors among the groups; however no statistically significant differences among the 26 bid/no criteria factors despite the absolute differences in the rankings and mean scores in the following four factors: (1) “bidding condition”, (2) “strength/weaknesses”, (3) “contract payment terms” and (4) “number of competitors/bidders”. Based on the overall sample, the highly ranked four factors were “client financial capability”, “project risk”, “project future benefits and profitability” and “number of competitors/bidders”. The following were the least ranked: “contractors’ financial situation”, “project duration” and “contractors’ material availability”. “Client financial capability”and “project risk” were jointly ranked as the most important by large, whereas “client financial capability” was also rated highly for smaller Australian construction contractors (ACCs). The medium ACCs had “project risk”as highly ranked.

The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors’ size prior to inviting them for participation in the research study. Second, the findings may not generalise to other industries or to organisations operating in other countries.

The identified “bid/no bid criteria” increase the awareness of existing decision-making practices and play a critical role in the future decisions of the construction companies, where decision makers need to evaluate the next opportunities encountered. Furthermore, knowledge and possession of these identified “bid/no bid” criteria would enable contractors to select a project with a higher probability of success in the future, which will accordingly result in long-term financial benefits and higher performance. Finally, the awareness of these factors could contribute to changing the contractor’s behaviours when bidding in a competitive environment or market conditions.

The study contributes to the body of knowledge on tendering and bidding practices among contractors in Australia, an area previously under explored. Second, this study provides some insights on the factors influencing the bid/no bid decisions among the ACCs.

Contractors of different scales, operating in different construction industries of varying institutional and economic settings, have different considerations when making bid or no-bid and mark-up decisions. Focusing on the large and medium-sized contractors in the Jilin province, China, the purpose of this study is to examine important factors affecting their decision to bid (d2b) and mark-up decisions and investigate differences between large and medium-sized contractors in evaluating the importance of the various factors affecting their d2b and mark-up decisions.

This study used a survey design for timely data collection from a large population. Contractors’ bidding attitudes was collected using an online survey questionnaire with a list of 40 key factors. Statistical analytical methods were applied for comparing the two groups of contractors.

The results of this study indicate that factors related to client conditions are most critical for both large and medium-sized contractors in their d2b and mark-up decisions. The results also show statistically significant differences between the two groups of contractors on a subset of factors affecting their d2b and mark-up decisions. The large contractors have placed more emphasis on projects' potential financial and strategic benefits. Another notable finding is that both groups of contractors have placed great emphasise on “government legislations” in their d2b and mark-up decisions.

These findings should be interpreted in consideration of several limitations. Firstly, the sample size is relatively small, and the focus was on a single province in the China construction industry. Next, this study only explores differences between large and medium-sized contractors in evaluating the importance of the various factors affecting their d2b and mark-up decisions.

Contractors could refer list of critical factors in competing for jobs in Jilin province or other provinces of similar institutional and economic settings. Construction clients, on the other hand, should consider the list of critical factors in the formulation of their competitive tendering procedures, thus enhancing the efficiency in their procurement of construction services.

Research on contractors’ bidding decision-making in the context of Chinese construction industry remains scarce; the research findings have implications for the industry stakeholders.

The decision to bid or not to bid for new projects determines contractors’ propensity for business success or failure. The purpose of this paper is to investigate the factors that affect the decision of indigenous construction contractors to bid or not to bid in Nigeria.

Analysis was conducted on data from questionnaires received from 64 engineering management employees of leading construction companies which are members of Nigeria’s Federation of Construction Industry. The study identified 41 significant decision factors often considered by Nigerian indigenous contractors before the bid. Mean item scores were obtained for each of the factors. Principal component analysis was used to point out the most significant decision factors.

Results revealed significant orthogonal relationships between the factors. Only 11 of the 41 factors are statistically significant to influence contractors’ decision to bid or not to bid. Most of the significant items were amongst the least rated items by the participants. The post hoc decision factors include consultant’s interpretation of project specifications, previous relationship between the intending bidder and client, availability of other projects at the time of bidding, technological complexity of the project under consideration and prequalification requirements. Others include the propensity for resource price fluctuation, business capacity of partners, amount of own work vs subcontracted work, required rate of return on investment and difficulty in obtaining finance.

The practical implication of these findings are as follows: the orthogonal relationship between the decision factors implies non-linear relationship between the factors and actual decision to bid or not to bid, and that bid success is often not predictable by bid behaviour; many of the bid decision factors rated highest by indigenous contractors seldom impact the contractors’ actual bid decisions; local and international players can adopt the significant decision factors elicited in this study for managing their structures for inter-organizational partnerships.

This study aims to investigate and ranks the critical factors influencing the bid or no-bid decision and their importance for the indigenous small building contractors within the Tanzanian construction industry.

An interpretivist epistemological design was adopted to extensively manually review and search extant literature on bid or no-bid decision-making criteria. A total of 30 most common bid or no-bid decision-making criteria were identified. These were included in a questionnaire survey data collection instrument. The survey was distributed to 40 small indigenous (local) building contractors in Dar es Salaam, Tanzania. In total, 33 responses were received. Response data was subjected to both descriptive and inferential statistics.

The results show a disparity of ranking of the 30 bid/no-bid criteria factors among the two grades of small contractors, with 11 factors having statistically significant differences (p = < 0.05). Based on the overall sample, the most highly ranked seven factors in ascending order were: availability of capital; financial capacity of the client; project size; profitability; project type; need of work; and current workload. The following were the least ranked: tax liability; the degree of safety; availability of other projects; availability of labor; bidding document price; and uncertainty because of weather conditions. Availability of capital and financial capacity of the client were jointly ranked as the most important by Class VI contractors. In comparison, availability of capital and need of study were rated highly for Class VII contractors.

The sample consisted of indigenous small building contractors in one industry operating in Tanzania only and did not include the perceptions of the foreign contractors based in Dar es Salaam. Future studies are required to expand the current research and investigate this specific aspect further.

The identified “bid/no-bid criteria” information will allow indigenous small building contractors to enhance the efficiency and effectiveness of their bidding decision-making process. Emergent findings will enable said contractors to: better fit into the competitive construction business environment; increase their awareness of existing decision-making practices; and develop appropriate strategies for evaluation of opportunities encountered. Cumulatively, these findings benefit small indigenous building contractors by increasing their understanding of the factors influencing bid decision.

The study represents the first empirical study in Tanzania on the critical factors influencing the bid or no-bid decision among the indigenous small building contractors, which face fierce competition from foreign contractors.

Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects.

The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision.

A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different.

The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

The bid/no-bid decision is critical to the success of construction contractors. The factors affecting the bid/no-bid decision are either qualitative or quantitative. Previous studies on modeling the bidding decision have not extensively focused on distinguishing qualitative and quantitative factors. Thus, the purpose of this paper is to improve the bidding decision in construction projects by developing tools that consider both qualitative and quantitative factors affecting the bidding decision.

This study proposes a mixed qualitative-quantitative approach to deal with both qualitative and quantitative factors. The mixed qualitative-quantitative approach is developed by combining a rule-based expert system and fuzzy-based expert system. The rule-based expert system is used to evaluate the project based on qualitative factors and the fuzzy expert system is used to evaluate the project based on the quantitative factors in order to reach the comprehensive bid/no-bid decision.

Three real bidding projects are used to investigate the applicability and functionality of the proposed mixed approach and are tested with experts of a construction company in Alberta, Canada. The results demonstrate that the mixed approach provides a more reliable, accurate and practical tool that can assist decision-makers involved in the bid/no-bid decision.

This study contributes theoretically to the body of knowledge by (1) proposing a novel approach capable of modeling all types of factors (either qualitative or quantitative) affecting the bidding decision, and (2) providing means to acquire, store and reuse expert knowledge. Practical contribution of this paper is to provide decision-makers with a comprehensive model that mimics the decision-making process and stores experts' knowledge in the form of rules. Therefore, the model reduces the administrative burden on the decision-makers, saves time and effort and reduces bias and human errors during the bidding process.

The purpose of this paper is to identify and rank the factors that affect the bid/no bid decision according to their relative importance from the perspective of the contracting parties operating in the Gaza Strip, Palestine.

The objectives of this research were investigated through a postal questionnaire, which covered a randomly selected sample of 63 contractors, 29 clients and 13 consultants operating in the construction industry in the Gaza strip. The questionnaire was structured based on related literature, the pilot study and actual factors affecting bidders' decisions to bid or not that arise from special conditions in the Gaza Strip. A total of 78 factors that affect the bid/no bid decision were identified. These factors were then ranked according to their relative importance to contracting parties operating in the Gaza Strip, Palestine.

The results illustrate that the financial capability of the contractors, the financial capability of the clients, the financial values of the project, the due date of the payments, the availability of construction raw materials in local markets, and the stability of the construction industry were the most critical factors affecting the bid/no bid decision, as agreed by all respondents.

The paper provides supportive practical solutions for contractors, clients and consultants to enhance and improve bidding decisions. It is recommended that clients and consultants consider the financial capabilities, technical capabilities and staff competencies of the contractors during the awarding stage, and not simply focus on the lowest bid.

The purpose of this paper is to explore the information that manufacturing companies have available when competitively bidding for service contracts.

A semi-structured interview study was undertaken with industrialists in various sectors, which are currently facing the issue of servitisation.

One of the main findings was that, despite the novelty of the process, the decision makers at the competitive bidding stage have an understanding of the involved uncertainties. In particular, the uncertainty arising from the customer as the user of the product and evaluator of the competitive bids in addition to the uncertainty connected to the competitors were identified as the main influences on the pricing decision.

The research implications show the influences and considerations during the decision-making process at the competitive bidding stage for service contracts. These include the customer and the competitors.

Shortcomings in the current industrial practice were identified such as the approaches used to communicate the cost estimate for the service contract. The approaches currently used contradict research findings in the area of communicating uncertainty information, which means that further research is to be done to identify optimal approaches to displaying the uncertainty connected to the communicated information.

This paper offers a basis for research to understand the challenges industry faces when competitively bidding for service contracts. This can be used to develop novel approaches in supporting the decision maker such as a model that presents the probability of winning in comparison to the probability of making a profit.