Causes of Payment Problems in the New Zealand Construction Industry

Thanuja Ramachandra1 and James Olabode BamideleRotimi2

1Department of Building Economics, University of Moratuwa, Sri Lanka
2School of Engineering, Auckland University of Technology, New Zealand


Payment delays and losses persist in the construction industry and continue to be a key concern to industry practitioners. Therefore an exploration of the key causes of payment delays and losses is undertaken in this study with the ultimate objective of seeking mitigating solutions. The study adopted a survey approach using an online questionnaire, administered to practitioners from the New Zealand construction industry, comprising consultants, head contractors and subcontractors. The data obtained was analysed using inferential statistical techniques, including comparing means and factor analysis. Factor analysis enabled clustering of the inter-related causes of payment delays and losses in order to find reduced number of causes. Accordingly, the study found that payment problems mainly relate to contractual issues, financial strength of industry players, disputes, short-comings of payment processes and ‘domino effects’. Among them, the financial strength of critical industry players was considered central to payment problems. The study concludes that any solution to these problems must address these primary causes, as a rational starting point. Thus procuring a feasible form of financial security at the outset of a project, and the pre-qualification of the financial status of critical project participants, were found to be significant in the mitigation of construction payment risks.

Keywords: Payment problems, causal factors, factor analysis, construction, New Zealand

Paper Type: Research article

Copyright: Construction Economics and Building 2015. © 2015 Thanuja Ramachandra and James Olabode Bamidele Rotimi. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 Unported (CC BY 4.0) License (, allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for any purpose, even commercially, provided the original work is properly cited and states its license.

Citation: Ramachandra, T. and Rotimi, J.O.B., 2015. Causes of Payment Problems in the New Zealand Construction Industry, Construction Economics and Building, 15(1), 43-55. DOI:

Corresponding author: Thanuja Ramachandra; Email -

Publisher: University of Technology Sydney (UTS) ePress


Payment problems in the construction industry are not a new phenomenon. Such problems have been widely acknowledged for more than four decades by previous research (Banwell, 1964; Latham, 1994; Wu, 2010; Ye and Rahman, 2010; Wu, Kumaraswamy and Soo, 2011). The problem seems generalised, with contractors and subcontractors not getting paid their due amounts on time. This may take the form of under-payment, late or delayed payment and non-payment all together. Non-payment or under-payment refers to situations where an expected payment was never received, and/or would be considered bad debt, written off, or lost partially/fully. Late or delayed payment on the other hand, is a situation where payment is not made to head contractors or subcontractors on time, in accordance with the timelines agreed between the parties to the contract.

There is little doubt that payment defaults have many effects on project participants as well as the industry, as funding is the core of any economic transaction. Late and non-payments have an immediate effect on cash flow which in turn drives contractors and eventually subcontractors to source additional funding by means of overdraft, trade credits or other means. It was reported in China that late and eventual non-payments along with lack of security caused substantial cash flow difficulties leading to risks of insolvency of construction parties (Wu, Kumaraswamy and Soo, 2008). A prudent contractor who anticipates a payment delay from client could incorporate a risk factor against late/non-payment when pricing. However this increases the cost of projects as contractors tend to inflate tender prices if a client has a reputation for late payment (Wong and Hui, 2006). Late and non-payments lead to disputes and subsequent suspension and termination of projects. Research has revealed issues of payment as one of the major causes for disputes in the construction industry (Yates, 2003; Chan and Suen, 2005). The valuation of variations and final accounts, and failure to comply with payment provisions, are the major subject matters for disputes in construction project adjudication proceedings (Sheridan, 2003). Similarly Odeh and Battaineh (2002) suggest that failure to source adequate finance and make payments for completed works on time is a cause for construction delays attributable to project owners.

Evidence suggests that late and non-payments damage the productivity of the industry at large, but with more dire consequence to construction parties down the supply chain. Kadir et al. (2005) are of the opinion that payment delays cause slippages to material delivery which in turn impacts on labour productivity in the construction industry. With a similar opinion, Durdyev and Mbachu (2011) explained that delayed payment poses significant internal constraints to onsite labour productivity on construction projects in New Zealand. The construction industry in New Zealand is noted for its low labour productivity rates, being the fourth lowest among Organisation for Economic Co-operation and Development (OECD) countries (Constructing Excellence in New Zealand, 2008).

Countries such as the UK, USA, Australia, Singapore and New Zealand have enacted payment specific legislation and sought other legislative solutions to payment default in construction projects. In New Zealand, the Construction Contracts Act (CCA) is a payment specific legislation, which was a major step taken towards mitigating payment default within its construction industry. The CCA desired to improve the cash flow situations of constructors (Degerholm, 2003). Brand and Uher (2008) suggested that the frequency of late payments reduced with the promulgation of the Building and Construction Industry Security of Payment Act (SOP) 1999 in New South Wales, Australia. Although payment specific legislation is referred to as the Security of Payment Act in many countries, Bayley (2007) claims that these do not provide security over payment, they merely reduce payment delays. The Acts fail to provide protection against payment losses usually experienced by lower tier construction parties (Ramachandra and Rotimi, 2010). For example, Fairfax News in New Zealand (2008) indicated that the collapse of a prominent commercial construction firm left the suppliers and subcontractors of the company unpaid, with NZ$2.4 million owed to them. More recently a leading property and construction company in New Zealand went into liquidation owing NZ$139.3 million to unsecured creditors which included subcontractors and suppliers (PricewaterhouseCoopers, 2014). Similarly Reilly (2008) reported that a development company in the UK had gone into liquidation, owing €3.8 million to its suppliers and contractors. These are only a few examples of absence of security to payment defaults.

It therefore seems essential that issues of payment default are dealt with in construction industries as a matter of significance. Identifying the causes of payment problems is a key step to mitigating the problem. Literature suggests that causes for payment problems could have many dimensions. Hughes, Hillebrant and Murdoch (1998) are of the opinion that traditionally the problems associated with payments were due to either the payer is not able to pay, not willing to pay or both. However, Wu, Kumaraswamy and Soo (2011) stressed that the causes are not generic and could vary across countries due to their peculiar characteristics, economic and political set ups. This current study therefore analyses these causative factors with reference to the New Zealand construction environment, to devise ways of mitigating the problem.

Literature Review – Factors Causing Payment Problems

There are many factors associated with payment defaults in the construction industry. Hughes, Hillebrant and Murdoch (1998) explained that payment default is primarily due to two reasons: the ‘cannot’ and ‘would not’ pay attitude of payers. The ‘cannot pay’ situation refers to payers’ financial difficulties due to failure to seek funding or not having sufficient equity capital and improper cash flow management. The ‘would not’ pay situation lies with payers’ attitude. It seems common for clients to delay payment to construction contractors and subcontractors in order to manage their cash flow for other projects and reduce their overdraft facilities. In fact, Kenley (2002) notes that payment problems are deliberate; contractors hold up money and use it to pay other projects, or for their own benefits. Conversely Cotter (2005) suggests that late payments could be unintentional, although would also result in dire effects to players in the industry.

The construction industry is known for many unique characteristics which could primarily contribute to payment problems. The industry has no barriers to entry and is renowned for low capital backing, but relies heavily on cash flows to sustain its operations. This means companies or individuals with little capital base and very limited experience are able to set up construction businesses (Gibson, 2000; Pettigrew, 2005). Furthermore, in many construction projects subcontractors perform a substantial part (70-75% in some cases) of the total work (Gibson, 2000). The Australian Procurement and Construction Council (1996) reports that subcontractors perform 80-90% of the trade works associated with projects in Australia. This means that substantial upfront cash expenses would need to be sourced by these bottom tier parties to a contract. Consequently subcontractors are the worst hit by undercapitalized head contractors that cause severe financial difficulties to parties down the supply chain. The ability to sublet works arbitrarily is significant in payment problems associated with the construction industry (Sozen and Kucuk, 1999; Wu, Kumaraswamy and Soo, 2008). The Australian Procurement and Construction Council (1996) suggest that multi-tiered hierarchical structure, together with cascade payment obligations, causes late payments in the industry. This is exacerbated by the low restrictions to participants that lack skills and expertise entering the industry in Australia. This leads to improper financial management, which would then result in cash flow difficulties and eventual defaults in payment to trade creditors.

Abdul-Rahman et al. (2008) studied issues affecting payments in the construction industry and found that the perspectives of consultants and contractors differ on the causes of late payments. According to contractors, delay in certification, clients’ poor financial management, local culture/attitude, clients’ failure to implement good governance in business and underpayment of certified amounts by the clients are the most frequent causes of payment delays. Consultants identified local culture/attitude, delays in approval of claims by the client, and underpayment by the client as the top causes of payment delays. In summary the problems are traceable to clients’ poor financial management. Additionally, the industry has a culture of ‘work first, gets paid later’, which adds another dimension to the problem (Pettigrew, 2005). Other causes of payment issues, according to contractors and consultants in Malaysia include: the use of pay-when-paid clauses, disagreements on the valuation of work done, deliberate withholding of payments by clients, budget deficits for the year, poor communication and conflict between parties, delays in submitting contractors’ payment claims, and general lack of understanding of contract provisions (Danuri, et al., 2006).

Delving further into the issue, Ye and Rahman (2010) identified 40 factors which were then classified into 10 major groups. From Ye and Rahman’s list, cash flow problems due to clients’ poor financial management, ineffective utilization of funds, lack of capital to finance projects, failure to source money from banks in times of reduced sales, delay in releasing retention monies to contractors, and delay in evaluation and certification of interim and final payments, were found to be the top five factors responsible for late payments.

The foregoing review shows that the causes of payment problems are diverse and vary across countries. Some are largely attitudinal while others relate to inadequate processes that could ensure smooth cash flow within construction contracts. To add to the discourse on payment problems in the construction industry, the current study investigates the causes of payment default from a New Zealand perspective. Few empirical researches have covered the New Zealand situation and the current study approaches the investigation with the intent of seeking mitigations to anecdotal expressions of the prevalence of payment problems in New Zealand.

Research Approach

To address the objectives of the research, a survey questionnaire approach was used to collect opinions from research participants. The questionnaire enabled a determination of the factors causing payment problems in the wider New Zealand construction industry. The survey method is used in the study because it is highly efficient where a large sample selection from a pre-determined population is involved, and is relatively inexpensive (Kelley et al., 2003). Data collected through survey is treated statistically to draw inferences about the wider population. The literature reviewed indicates that payment problems within the construction industry are widespread and have ramifications for the whole of industry. A list of factors causing payment problems identified through literature review (Ye and Rahman, 2010; Pettigrew, 2005; Hughes, Hillebrant and Murdoch, 1998) was modified and considered by this study. A 5-point Likert scale ranging from ‘Not at all Important = 1’to ‘Extremely Important = 5’ was employed to determine the degree of importance of the causes of payment problems. Although scales with three, seven and nine-point levels are used, a five-point scale is normally preferred (Moser and Kalton, 1985; Saunders, Lewis and Thronhill, 2007). This enables participants to spread their views across reasonably limited (5-point) response categories rather than having to select from a much more limited (3-point) or unreasonably large number (9-point) of response categories. Data obtained from the survey was analysed using Statistical Package for the Social Sciences (SPSS) 19.0. Inferences from the study are based on descriptive and inferential (independent samples t-tests, and factor analysis) statistical techniques.

An online questionnaire survey was administered to three major industry groups: consultants, head contractors and sub-contractors based in New Zealand. Participants were approached through their respective trade and professional associations (e.g. the New Zealand Institute of Architects, New Zealand Contractors Federation, New Zealand Institute of Quantity Surveyors and Project Managers Institute of New Zealand).The number of responses obtained from the three major industry groups is 60, 15 and 40 respectively. Since the responses from head contractors (N=15) were low, relative to other categories of participants (subcontractors = 40 and consultants = 60), the responses of head contractors and sub-contractors were merged and then compared with those of consultants. A scrutiny of the responses shows that there are similarities between the profiles (profession, number of years of experience, and number of projects undertaken) of these two groups (head contractors and sub-contractors) of participants.

As a first step, an independent samples t-test was performed to determine whether the two groups of participants i.e. consultants, and constructors (head contractors and subcontractors) have different views regarding payment problems. To determine the differences in views the following hypothesis was tested.

H0: µ1 = µ2; there is no statistically significant difference between the two groups on the dependent variable, where µ1 and µ2 are the means of the two groups.

H1: µ1 ≠ µ2; there is a statistically significant difference between the two groups on the dependent variable

Following this, a factor analysis was performed to identify the overriding factors which industry players could focus on for improving payment situations in the New Zealand construction industry. The next section presents the findings in more detail and discusses the ramification of the results.

Findings and Discussion

Profile of Participants

Participants for the survey were required to indicate their profession, number of years of experience, and the number of projects they had undertaken since the implementation of the CCA in New Zealand. Table 1 provides a summary of the demographic profile of the participants. It shows that nearly equal percentages (25%) of the participants are architects and quantity surveyors while 15% and 13% are project managers and engineers respectively. Another 21% is categorized as ‘others’ which include service engineers (electrical, fire, security, air-conditioning, geo-technical, etc.), project directors, project coordinators, contracts manager etc. As per number of projects undertaken, 75% of the participants have undertaken more than 50 projects since the implementation of the CCA in 2003. The majority (over 70%) of the participants have practice experience of more than 20 years in the industry. This profile gives an indication of the reliability of the study findings.


Table 1: Demographic profile of participants
Demographic Information Number Percentage
Types of profession Project Manager 17 15
Engineer 15 13
Architects 30 27
Quantity Surveyors 27 24
Others 24 21
No of projects undertaken 0 - 10 4 4
11 - 20 6 5
21 - 30 9 8
31–40 5 4
41 - 50 4 4
Over 50 85 75
Number of years of experience 0–5 2 2
6–10 10 9
11–15 10 9
16 - 20 11 10
21 - 25 19 17
More Than 25 61 54

Independent Samples t-test Results

Independent samples t-tests were performed on information obtained from the survey to compare the responses of consultants and constructors (head contractors and subcontractors) regarding the causes of payment problems. The result of the t-test is given in Table A (in Appendix). It was observed that, all the listed causes, except economic and market conditions (p-value= 0.045), are not significant at 0.05 level of significance. This means that there is no statistically significant difference between the perceptions of subcontractors and head contractors regarding the causes of payment problems. The responses were therefore merged and compared with the responses of the consultant group.

Similarly Table A (in Appendix) presents the results of the t-test performed on the responses of Consultants and Constructors (head contractors and subcontractors combined). The result shows that all causal factors are not statistically significant at 0.05 level of significance. Therefore there is no statistically significant difference between consultants and contractors perspectives on the causes of payment problems in New Zealand. All research participants were in agreement with respect to the causes of payment problems on construction projects.

Importance of Causes of Payment Problems

Table 2 presents the causes of payment problems arranged in descending order of their mean values obtained based on the responses of all three industry groups. From Table 2, 17 causes with a mean value of 3.5 and above are considered the most important causes of payment problems in construction projects. The top ten important causes are cash flow difficulties due to delays and non-payments on other projects (mean = 4.01; s.d. = 1.07), disputes over claims and responses (mean = 3.88; s.d. = 1.00), cash flow difficulties due to lack of initial capital (mean = 3.85; s.d. = 1.16), easy exit of players (mean = 3.84; s.d. = 1.12), payment culture of the industry (mean = 3.83; s.d. = 1.02), attitude of the payer (mean = 3.81; s.d. = 1.32), improper supervision and financial control (mean = 3.81; s.d. = 1.17), easy entry of players (mean = 3.80; s.d. = 1.18), cost overruns and contract failure (mean = 3.79; s.d. = 1.15), and lack of knowledge and experience in the field (mean = 3.75; s.d. = 1.10). Therefore, it would seem that cash flow difficulties due to delays and non-payments on other projects and lack of initial capital are the most important items causing payment delays and losses in New Zealand.

From the results, it is apparent that the upper tier parties on any project need to ensure the smooth flow of money in order to meet their financial commitments to creditors. Project owners generally suffer from cash flow difficulties due to insufficient initial capital, failure to source adequate funding, and improper financial management. This is in line with previous studies (Ye and Rahman, 2010; Wu, Kumaraswamy and Soo, 2008) showing that payment problems primarily affect the cash flow of contractors and cascade down the supply chain. Touran, Atgun and Bhurisith (2004) also confirmed that cash flow problems affect industry survival and are one of the leading causes of contractors’ failure. At the lower end of the supply chain, there is a cascade effect on subcontractors’ payments. Furthermore, it is not uncommon for main contractors to delay payments so that their cash flow position could be improved during work progress (Motawa and Kaka, 2009; Ye and Rahman, 2010).

Disputes over payment claims and response to claims occur due to both the default of the payers and payees. Project owners and consultants are often criticised for making arbitrary deductions from contractors’ payment claims, unreasonably withholding payments and delaying the issuance of responses to their payment claims in a bid to buy some time. Conversely contractors are blamed for claiming for uncompleted site works, over-claims, and delay in the submission of their claims. These generally create conflicts between parties and results in payments being withheld until disputes are resolved.

It would seem that the inherent characteristics of the construction industry encourage payment problems in the industry. The industry has relatively few barriers to entry and exit. This allows individuals and companies with little or no capital to start off businesses and as a consequence suffer from financial difficulties when the settlement of their payment claims becomes irregular. The industry has a unique payment culture which, in spite of the removal of conditional payment provisions of pay-if-paid and pay-when-paid clauses from payment legislation, payment problems persist. In reality subcontractors are paid upon contractors being paid by project owners and payment follows that chain order: the owner pays the head contractor, who in turn pays subcontractors and so on down the supply chain in the industry. This is confirmed by Latham (1994), Pettigrew (2005), and Wu, Kumaraswamy And Soo (2008) who suggest that payment default results from the unique characteristics of the industry. It is not surprising that the construction industry has the highest business failure rates compared to other industries (Davies, 2009; Ashworth and Hogg, 2007).

Table 2: Causes contributing to payment problems in construction projects
Causes N Mean Std. Dev.
Cash flow difficulties due to delays and non-payments on other projects 113 4.009 1.073
Disputes over payment claims and responses 113 3.876 1.002
Cash flow difficulties due to lack of initial capital 113 3.850 1.159
Easy exit of players: Little/no liability to creditors 112 3.839 1.120
Payment culture of the industry: Chain payment & work first get paid later 111 3.829 1.017
Attitude of the payer: dishonest/unethical conduct 112 3.813 1.319
Improper supervision and financial control 112 3.812 1.175
Easy entry of players with little/no capital backing 110 3.800 1.179
Cost overruns and contract failure 112 3.795 1.148
Lack of knowledge and experience in the field 114 3.754 1.102
High capital investment nature: Reliance on loan capital 109 3.633 1.144
Economic and market conditions 110 3.573 1.080
Time overrun of projects 112 3.562 1.191
Receivership and liquidation of parent and related companies 105 3.543 1.366
Disputes over quality of work 113 3.531 1.119
Administration/bureaucracy 113 3.531 1.103
Financial difficulties due to failure to secure contracts 106 3.519 1.173
Complications from contractual conditions 114 3.404 1.166
Financial difficulties due to drop in building prices 106 3.302 1.220
Procurement methods used 106 3.236 1.277
Contract types used 106 3.179 1.413
Standard forms of contracts used (right to payment and non-payment provisions) 111 3.144 1.313
Legislative procedures (Construction Contracts Act) 110 3.127 1.389
Disputes with debtors/creditors 106 3.104 1.219
Structure of the industry: Involvement of many commercial parties 114 3.062 1.214
Duration of projects (long-run or short-run) 108 3.028 1.241
Internal conflicts/disputes between owners or management team 103 2.942 1.153
Political/policy changes 102 2.628 1.289

Causes of Payment Problems - Factor Analysis

A factor analysis was conducted in order to reduce the large number of causes realised into smaller groups of underlying factors. Factor analysis enabled the clustering of causes that are highly inter-correlated into a limited number of independent factors.

As a first step, the suitability of use of factor analysis for the data set was verified using Bartlett’s test of sphericity and the Kaiser-Meyer-Olkin (KMO) statistic. Bartlett’s test of sphericity tests the null hypothesis that variables are uncorrelated in the population. The Kaiser-Meyer-Olkin (KMO) statistic is used to measure sampling adequacy. Thus small values of the KMO statistic indicate that the correlations between pairs of variable cannot be explained by other variables and that factor analysis may not be appropriate. Generally a KMO of more than 0.50 is considered large enough to proceed with factor analysis (Gaur andGaur, 2006). Table 3 provides the results of these two tests. As presented in Table 3, the significant Barlett’s test statistic value of 1392.721 at p< 0.05 level confirms that the null hypothesis can be rejected, hence the use of factor analysis for the situation is appropriate. Further, the KMO statistic of 0.773 (> 0.50) obtained, confirms sampling adequacy of the data set for clustering.

Table 3: KMO and Barlett’s Test
Statistical Tests Results
Kaiser-Meyer-Olkin Measure of Sampling Adequacy .773
Bartlett’s Test of Sphericity Approx. Chi-Square 1392.721
  df 378
  Sig. .000

The next step in the factor analysis involves the extraction of underlying factors, which was done using principal axis factoring (PAF). Using the PAF method, 20 out of the 28 most important causes were able to be clustered into 6 factors. These 6 factors explain 67.6% of the total variance. Variables with factor loadings above 0.50 were considered when naming each factor. Since the six factors are likely to correlate with one another, an oblique rotation method was chosen as the best method to transform the factor matrix. In order to ensure the reliability and internal consistency between items (in the factor analysis) which make up the factors, Cronbach’s alpha reliability coefficient was calculated (Mitchell, 1996 cited in Saunders, Lewis and Thronhill, 2007). The results of the factor analysis, factor loadings and Cronbach’s alpha coefficients, are presented in Table 4.

Generally a Cronbach’s alpha value above 0.70 is an accepted test for scale reliability (Gaur and Gaur, 2006). It is noted from Table 4 that four factors have an alpha value over 0.70 while the third factor (disputes and issues) has an Alpha value of 0.627. This shows that items comprising each factor have a strong internal consistency. Since the sixth factor (others) comprises a single item, an Alpha value cannot be calculated. The sixth factor is therefore excluded from the remaining discussion.

From the factor analysis, the first factor relates to contractual issues which comprise procurement methods, contract types, standard forms of contracts (payment provisions), and legislative processes (Construction Contracts Act) that are used in any project. These causal factors are clustered under Contractual Issues. The items that make up the second factor represent the financial side of industry players; thus this factor is named Financial Strength of Industry Players. The items comprising the third factor include disputes over payment claims and responses and quality of work, as well as involvement of many parties in the structure of the industry. It could be argued that the involvement of many parties trigger associated problems such as communication and coordination, time and payment delays which result in conflicts between parties. The factor is therefore labelled, Disputes and Issues. The fourth factor has three causes of delays which represent Project Characteristics. The final factor is named the ‘Domino Effect’ as it describes the chain payment culture and cash flow difficulties due to payment delays and non-payments on other projects.

Table 4: Six factor solution for causes contributing to payment delays in construction projects
Causes Factors Cronbach’s Alpha
1 2 3 4 5 6
Contractual issues (38.28% of variance) .890
 Procurement methods used .896            
 Contract types used .958            
 Standard forms of contracts used (payment provisions) .945            
 Legislative processes (Construction Contracts Act) .720            
 Lack of knowledge and experience in the field .504            
 Political/policy changes .520            
Financial strength of industry players (10.55% of variance) .865
 Easy entry of players with little/no capital backing   .904          
 Easy exit of players: Little/no liability to creditors   .873          
 Cash flow difficulties due to lack of initial capital   .891          
 Financial difficulties due to failure to secure contracts   .599          
 Receivership and liquidation of parent and related companies   .522          
Disputes and issues (7.03% of variance) .627
 Disputes over quality of work     .743        
 Disputes over payment claims and responses     .692        
 Structure of the industry: Involvement of many commercial parties     .577        
Shortcomings of the process (4.83% of variance) .772
 Cost overruns and contract failures       .775      
 Time overrun of projects       .567      
 High capital investment nature: Reliance on loan capital       .511      
Domino Effect (4.25% of variance) .708
 Payment culture: Chain payment, work first get paid later         .735    
 Cash flow difficulties due to delays and non-payments on other projects         .546    
Others (2.67% of variance)  
 Improper supervision and financial control           .538  


Unlike previous studies that focused on the generic factors causing payment delays on construction projects, this study focused on the underlying factors causing payment problems, with the aim of devising ways of mitigating payment problems. The different study participants; consultants, head contractors and sub-contractors, in the industry held unanimous views regarding the causes of payment problems in New Zealand.

The study found that the top five out of 28 causes of payment problems in the New Zealand construction industry are; cash flow problems due to delays and non-payments experienced on other projects, disputes over payment claims and responses, cash flow difficulties due to lack of initial capital, attitude of payers, easy exit of players, and the general payment culture of the industry. Subsequent clustering of the identified factors using a factor analysis provided knowledge on key areas which industry practitioners need to focus on in mitigating payment problems within the industry. From the factor analysis, the underlying factors for payment problems are six-fold: contractual issues, financial strength of industry players, disputes between players, project characteristics, the ‘domino effect’ and others. Most of the causes of payment problems fall under the clusters: financial strengths of industry players, project characteristics, and the ‘domino effect’. It is safe to conclude that the domino effect is partly due to financial weaknesses of key construction industry players.

Thus the study concludes that the financial stability of players is central to payment problems in the construction industry. Stability of payment is ensured through a regular flow of cash during work progress and ensures that all parties’ financial claims are able to be settled as and when they are due. Stable and regular payment seems to be the chief mitigating solution to payment problems in the construction industry. Adjustments to contractual provisions that could guarantee financial stability may include the procurement of some sort of financial security at the outset of a project. Thus any payment default is immediately indemnified by the security provider. It may also be worth incorporating mandatory requirements for prequalification of the financial status of critical funding parties to any contract. This way, vulnerable parties can be assured of the financial status of critical funding parties. The applicability of these few suggestions are recommended for further investigation as the current study is limited to identifying the key causes of payment problems. Further, the study recommends that the viewpoints of project owners are significant and should be collected in future study investigations as the current study had simply used consultants as proxies to project owners.


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Table A: Independent samples t-test between head contractors and subcontractors
Causes of payment problems Head contractor vs subcontractor Consultant vs Contractor
Groups Mean t df Sig. (2-tailed) Groups Mean t df Sig. (2-tailed)
Structure of the industry: Involvement of many commercial parties Head contractor 2.800 -1.247 52 0.218 Constructors 3.074 -.135 109 .893
Subcontractor 3.179       Consultants 3.105      
Payment culture of the industry: Chain payment & work first get paid later Head contractor 3.929 0.565 51 0.575 Constructors 3.811 -.222 106 .825
Subcontractor 3.769       Consultants 3.855      
High capital investment nature: Reliance on loan capital Head contractor 3.667 0.18 49 0.858 Constructors 3.608 -.207 104 .837
Subcontractor 3.590       Consultants 3.655      
Easy entry of players with little/no capital backing Head contractor 3.462 -1.275 50 0.208 Constructors 3.827 .116 105 .908
Subcontractor 3.949       Consultants 3.800      
Easy exit of players: Little/no liability to creditors Head contractor 3.923 -0.005 51 0.996 Constructors 3.925 .481 107 .632
Subcontractor 3.925       Consultants 3.821      
Administration/bureaucracy Head contractor 3.267 -1.021 52 0.312 Constructors 3.500 -.460 109 .647
Subcontractor 3.590       Consultants 3.596      
Cash flow difficulties due to delays and non-payments on other projects Head contractor 4.143 -0.149 50 0.882 Constructors 4.173 1.519 109 .132
Subcontractor 4.184       Consultants 3.864      
Cash flow difficulties due to lack of initial capital Head contractor 3.929 -0.412 52 0.682 Constructors 4.019 1.457 109 .148
Subcontractor 4.050       Consultants 3.702      
Financial difficulties due to failure to secure contracts Head contractor 3.500 -0.433 50 0.667 Constructors 3.615 .918 102 .361
Subcontractor 3.658       Consultants 3.404      
Financial difficulties due to drop in building prices Head contractor 3.077 -1.49 50 0.143 Constructors 3.500 1.712 102 .090
Subcontractor 3.641       Consultants 3.096      
Disputes over payment claims and responses Head contractor 3.571 -1.466 51 0.149 Constructors 3.906 .227 109 .821
Subcontractor 4.026       Consultants 3.862      
Disputes over quality of work Head contractor 3.200 -0.56 49 0.578 Constructors 3.333 -1.724 109 .088
Subcontractor 3.389       Consultants 3.700      
Internal conflicts/disputes between owners or management team Head contractor 2.714 -0.602 48 0.55 Constructors 2.880 -.520 99 .604
Subcontractor 2.944       Consultants 3.000      
Disputes with debtors/creditors Head contractor 3.385 0.617 50 0.54 Constructors 3.212 .882 102 .380
Subcontractor 3.154       Consultants 3.000      
Receivership and liquidation of parent and related companies Head contractor 4.000 1.199 49 0.236 Constructors 3.608 .257 101 .797
Subcontractor 3.474       Consultants 3.538      
Procurement methods used Head contractor 3.182 0.053 47 0.958 Constructors 3.163 -.631 103 .529
Subcontractor 3.158       Consultants 3.321      
Contract types used Head contractor 3.333 0.371 48 0.712 Constructors 3.200 .130 103 .896
Subcontractor 3.158       Consultants 3.164      
Standard forms of contracts used (right to payment and non-payment provisions) Head contractor 3.286 0.494 50 0.623 Constructors 3.135 -.230 107 .818
Subcontractor 3.079       Consultants 3.193      
Legislative processes (Construction Contracts Act) Head contractor 3.429 0.927 50 0.359 Constructors 3.135 -.030 106 .976
Subcontractor 3.026       Consultants 3.143      
Attitude of the payer: dishonest/unethical conduct Head contractor 3.857 -0.303 51 0.763 Constructors 3.943 .963 108 .338
Subcontractor 3.974       Consultants 3.702      
Cost overruns and contract failure Head contractor 3.467 -1.393 52 0.17 Constructors 3.796 -.115 108 .909
Subcontractor 3.923       Consultants 3.821      
Complications from contractual conditions Head contractor 3.533 0.24 53 0.811 Constructors 3.473 .627 110 .532
Subcontractor 3.450       Consultants 3.333      
Improper supervision and financial control Head contractor 3.786 -0.552 52 0.583 Constructors 3.926 .924 109 .358
Subcontractor 3.975       Consultants 3.719      
Lack of knowledge and experience in the field Head contractor 3.929 0.09 52 0.929 Constructors 3.907 1.146 110 .254
Subcontractor 3.900       Consultants 3.672      
Duration of projects (long-run or short-run) Head contractor 3.308 0.395 50 0.694 Constructors 3.192 1.191 105 .236
Subcontractor 3.154       Consultants 2.909      
Time overrun of projects Head contractor 3.231 -1.072 51 0.289 Constructors 3.528 -.620 108 .537
Subcontractor 3.625       Consultants 3.667      
Economic and market conditions Head contractor 3.143 -2.052 52 0.045 Constructors 3.593 -.090 106 .929
Subcontractor 3.750       Consultants 3.611      
Political/policy changes Head contractor 2.385 -0.872 48 0.388 Constructors 2.640 -.027 99 .978
Subcontractor 2.730       Consultants 2.647      

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