Causes of Delays in Portuguese Construction Projects
Amílcar Arantes
1
and Luis Miguel D. F. Ferreira
2
1
CESUR, Instituto Superior Técnico, Universidade Lisboa, Av. Rovisco Pais, Lisboa, 1049-001, Portugal
2
Economics, Management and Industrial Engineering Department, University of Aveiro, Aveiro, 3810-193, Portugal
Keyword: Construction Delays, Construction Industry, Portuguese Construction Industry, Project Management,
Relative Importance Index, Factor Analysis.
Abstract: Delays are frequent in engineering and construction projects all over the world. Delays can have severe
impacts, such as time and cost overruns and conflicts between stakeholders, and can also lead to total
abandonment of the contract. This paper presents the findings of a survey conducted to identify the most
important causes of delays in the Portuguese construction industry. Among the respondents were
representatives from all stakeholders involved: contractors, consultants and developers. The Relative
Importance Index was adopted to classify the relative importance of the 46 identified causes of the delays.
The results show that the main causes of delay were slow decision making by developers, change orders,
unrealistic contract duration and specifications in contracts, financial constraints on the contractor and the
type of bidding and award of contract process. Additionally, factor analysis revealed eight high-level causes
that aggregate 30 of the original causes. These findings are expected to contribute to expanding the
knowledge in the scientific community of construction management, in particular in the field of supply
chain management, and helping the Portuguese industry in the reduction and prevention of delays in
construction projects.
1 INTRODUCTION
Delays in construction projects have always been a
global issue regardless of the type of project. In
construction, a delay can be defined as the time
overrun either beyond the completion date specified
in the respective contract, or beyond the date the
contract parties agree upon for delivery of a project
(Assaf and Al-Hejji, 2006).
The construction process is usually divided into
3 distinct phases: planning, design and construction,
and it is in this last phase, which involves many
unpredictable factors, that most delays usually occur
(Chan and Kumaraswamy, 1997). Time performance
is one of the basic parameters for evaluating the
success of a construction project and must always be
one of the main concerns in project management. A
project is considered successful if it meets the
requirements of 3 major indicators: time, cost and
quality. Rwelamila and Hall (1995) also found that
the timely completion of a project was frequently
seen as one of the major parameters for evaluating
project success. With this in mind, it is no surprise
that project duration is a decisive criterion for
developers when choosing a contract.
When a project faces delays it is usually extended or
accelerated and both solutions have additional costs
implied. Project delays are so frequent that it is
common practice for a contingency cost to be
included in the contract, which is normally a
percentage of the total contract price, to cover cases
of delay (Chan and Kumaraswamy, 1997). A range
of problems can arise as a consequence of delays,
particularly problems of a financial nature, which
often result in conflicts between the stakeholders
involved: contractors, consultants and developers.
Despite all the efforts to prevent delays, the
complexity of project design and construction makes
it often difficult to identify the causes of the delays.
Precisely identifying the causes may be even more
difficult because many of them are often
interconnected (Alkass et al., 1996), meaning that
delays can be a consequence of each another.
In Portugal the scenario is no different and
delays affect a large percentage of construction
projects. However, in recent years, the financial
crisis has led to a major stagnation in
the
construction industry, forcing several companies to
declare bankruptcy or move abroad. With all the
resulting financial constraints, the market is
116
Arantes A. and Miguel D. F. Ferreira L..
Causes of Delays in Portuguese Construction Projects.
DOI: 10.5220/0005214501160124
In Proceedings of the International Conference on Operations Research and Enterprise Systems (ICORES-2015), pages 116-124
ISBN: 978-989-758-075-8
Copyright
c
2015 SCITEPRESS (Science and Technology Publications, Lda.)
becoming increasingly more competitive and
optimizing the cost and time factors has become
essential for contractors. Accordingly, identifying
the causes of delays is a key factor for process
optimization.
A number of papers have been produced over the
last two decades in relation to this matter but most of
them have been far from the Portuguese context. The
aim of this research work is, thus, to identify the
main causes of delays in the Portuguese construction
industry and understand the links between them. It is
also important to understand the differences of
opinion between the various stakeholders involved
in construction projects.
2 LITERATURE REVIEW
Many researchers have studied the causes and
effects of delays in the construction industry in
recent decades. Mansfield et al. (1994) identified 16
major causes of delays and cost overruns in Nigerian
construction projects by means of a questionnaire
survey that was conducted with contractors,
consultants and developers. They concluded that the
main causes of delays and time overruns had to do
with finance and payment arrangements, poor
contract management, shortage in materials,
inaccurate estimates and price fluctuations.
Ogunlana et al. (1996) conducted a study on
causes of delays in Thailand, analyzing 12
skyscraper projects in Bangkok. They identified 26
causes of delays and concluded that material
shortages, especially cement, lack of qualified
workforce, change orders by the developers and
inadequate contractor experience were the most
important ones.
Chan and Kumaraswamy (1997) conducted
survey-based research in Hong Kong with
contractors, consultants and developers with a view
to classifying the relative importance of 83 causes of
delays. They concluded that the main causes of
delay were poor site management and supervision,
unforeseen ground conditions, low speed of decision
making involving all project teams, developer
initiated variations and necessary variations of work.
Odeh and Battaineh (2002) conducted survey-
based research in Jordan to identify the main causes
of delays in traditional construction projects.
Contractors and consultants were asked to complete
a questionnaire to evaluate the relative importance of
28 pre-selected causes. They concluded that the
major causes of delays were inadequate contractor
experience, developer interference, delay in progress
payments by the developer, slow decision making by
the developer, improper planning, low productivity
level of labour and problems with subcontractors.
Doloi, Sawhney, Iyer, and Rentala (2012)
conducted a survey to identify the main causes of
delays in different types of construction projects in
India. They selected a group of 45 causes and
classified them according to the respondents’
answers. The most important causes of delays
indicated by the respondents were delays in material
delivery by vendors, non-availability of drawings on
time, financial constraints on the contractor,
increases in scope of work and obtaining
permissions from local authorities. Using factor
analysis, they identified lack of commitment,
inefcient site management, poor site coordination
and improper planning as the most critical
(extracted) factors in construction delays.
Gündüz, Nielsen and Özdemir (2012)
conducted a survey to determine the relative
importance of 83 different causes of delays in the
Turkish construction industry. They surveyed 64
specialists in the field and concluded that inadequate
contractor experience, ineffective project planning
and scheduling, poor site management and
supervision, design changes by the developer and
late delivery of materials were the most important
causes of delays.
Fallahnejad (2013) carried out a study on causes
of delays analyzing 24 gas pipeline projects in Iran.
He used a questionnaire to evaluate the relative
importance of 43 different causes, concluding that
the main causes of delays were inability on the part
of contractors to provide imported materials,
unrealistic contract durations imposed by the
developer, slow delivery of materials by the
developer, slow land expropriation due to resistance
from occupants and change orders by developers.
It is clear from the studies in the literature
reviewed that the causes and effects of delays in
construction depend on the type of construction
project and on the country where the project is
undertaken. Some of the authors also recommended
that similar studies should be conducted in other
countries and types of construction projects (Assaf
and Al-Hejji, 2006; Sambasivan and Soon, 2007).
Accordingly, the study presented herein contributes
to expanding knowledge on causes and effects of
delays in construction projects, in particular in
Portugal.
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117
3 RESEARCH METHODOLOGY
For this research project a questionnaire survey
methodology was used to determine the importance
of the causes of delays in the construction industry.
Major progress has been made in investigations
based on survey research methodology in recent
years (Vickery, 1998). Several authors have used
survey research methodology in similar studies
(Chan and Kumaraswamy, 1997; Doloi et al., 2012;
Gündüz et al., 2012; Manavazhi and Adhikari, 2002;
Mansfield et al., 1994; Odeh and Battaineh, 2002;
Sambasivan and Soon, 2007).
Questionnaire design is a key part of survey
research methodology. It is important that the
questionnaire is clear and has no mistakes or
discrepancies in its design. To accomplish this, basic
ground rules for social surveys were adopted in
questionnaire design (Fowler, 2009). The
questionnaire was developed to assess the
importance of the causes of delays. To this end a
five point Likert scale was adopted (1 - very low; 2 -
low; 3 - average; 4 - high; 5 - very high).
After a meeting with experts from the Portuguese
construction industry, a total of 47 causes of delays
reported in the literature were considered enough to
capture the Portuguese reality and were include in
this research. These causes were divided into 9
categories, namely: developer-related causes,
contractor-related causes, consultant-related causes,
material-related causes, Labour and equipment-
related causes, design-related causes, contract and
contractual relationships-related causes, external
causes and authority-related causes.
After the questionnaire design was concluded a
pilot test was carried out with a limited number of
companies to check the effectiveness in collecting
information and to identify possible mistakes or
misunderstandings. After this pilot test some
changes were made in the questionnaire. The
questionnaire was then distributed by electronic mail
to a selected sample of 150 contractors, 100
consultants and 70 developers.
Sample selection plays a decisive role in survey
research methodology and mistakes in this process
will reduce confidence in the results. Furthermore,
non-respondents can alter a sample frame and lead
to non-response bias, which can compromise the
validity of the results. To avoid these issues, all
recommendations by Forza (2002) regarding sample
size and design and non-response bias were taken
into consideration. Of the 320 questionnaires sent
out, 139 were returned: by 62 contractors, 46
consultants and 31 developers. With the responses
obtained from the survey, the data was then analysed
using statistical tools.
4 RESULTS
4.1 Ranking of Causes
The Relative Importance Index (RII) method was
adopted in this study to evaluate the relative
importance of causes of delay. This methodology is
common in survey research and has been used by
several authors (Aibinu and Jagboro, 2002; Assaf,
Al-Khalil and Al-Hazmi, 1995; Chan and
Kumaraswamy, 1997; Doloi et al., 2012; Frimpong,
Oluwoye and Crawford, 2003; Gündüz et al., 2012;
Odeh and Battaineh, 2002; Sambasivan and Soon,
2007). For each cause the respective RII is
calculated as in Eq. (1):
RII =
WAN
(1)
Where
W - Importance given to each cause (1 to 5)
A - Highest weight (A = 5)
N - Total number of respondents
The ranking of causes is presented in table 1. The
most important cause, in the opinion of the
respondents, was “slow decision making by the
developer”. Timing of decision-making is crucial in
construction projects and delays in this process can
halt the work progress. The following causes in the
top 5, again according to the respondents, were:
“change orders”, “unrealistic time schedule and
specifications in contract”, “financial constraints on
the contractor” and “type of bidding and contract
award process”. Respondents also indicated “delay
in progress payments by owner”, “improper
planning and scheduling”, “developer interference,
“increase in scope of work” and “mistakes and
discrepancies in drawings” as important causes of
delay. Along with this ranking, it is important to
identify the differences of opinion between the
various types of respondents. Contractors indicated
“slow decision making by the developer” as the
major cause of delays. Consultants identified
“unrealistic time schedule and specifications in
contract” as the most important causes of delay,
while developers indicated “financial constraints on
the contractor” as the major cause.
For a better comparison between the respondent
types, table 2 presents the ranking of categories of
causes according to each type and the global
ranking. “developer”-related causes and “contract
and contractual relationships”-related causes are the
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Table 1: Ranking of causes of delay.
Causes of delay RII Rank Causes of delay RII Rank
Developer-related causes
Material-related causes (cont.)
C1 - Delay in progress payments by
developer
0.770 6
C26 - Changes in material specifications
during construction
0.717 13
C2 - Slow decision making by developer 0.849 1 C27 - Delay in materials procurement 0.721 12
C3 - Developer interference 0.736 8 C28 - Change in material prices 0.523 43
C4 - Delay in handing over the site to
contractor by developer
0.574 38 Labour and equipment-related causes
C5 - Increase in scope of work 0.732 9 C29 - Lack of qualified Labour 0.626 30
C6 - Change orders 0.845 2 C30 - Low Labour productivity 0.651 27
C7 - Bureaucracy in developer’s
organization
0.670 22 C31 - Equipment availability and failure 0.574 38
Contractor-related causes C32 - Inadequate equipment 0.596 34
C8 - Delays and changes of
subcontractors
0.655 26 Design-related causes
C9 - Inadequate construction methods 0.626 30
C33 - Mistakes and discrepancies in
drawings
0.728 10
C10 - Improper planning and scheduling 0.755 7 C34 - High complexity of drawings 0.587 35
C11 - Mistakes during construction 0.645 28
C35 - Delay in producing design
documents
0.632 29
C12 - Inadequate contractor experience 0.677 18 Contract and contractual relationship causes
C13 - Site accidents 0.474 47
C36 - Bidding and contract award
process
0.828 5
C14 - Poor site management and
supervision by contractor
0.577 37
C37 - Unrealistic time schedule and
specifications in contract
0.845 3
C15 - Financial constraints on part of
contractor
0.843 4
C38 - Mistakes and discrepancies in
contract
0.666 24
C16 - Delay in site mobilization by
contractor
0.657 25
C39 - Lack of motivation for contractor
to finish early
0.560 41
Consultant-related causes
C40 - Lack of communication between
parties
0.696 16
C17 - Inflexibility of consultant 0.668 23
C41 - Disputes and negotiations between
parties
0.711 14
C18 - Delay in approval of drawings 0.674 20 External causes
C19 - Delay in quality control 0.621 32 C42 - Unforeseen site conditions 0.687 17
C20 - Lack of control over subcontractor 0.521 44 C43 - Problems with neighbours 0.566 40
C21 - Waiting time for approval of tests
and inspections
0.598 33 C44 - Unavailability of utilities in site 0.511 45
Material-related causes C45 - Weather conditions 0.672 21
C22 - Inadequate material quality 0.585 36 Authority-related causes
C23 - Damaged materials 0.511 45 C46 - Changes in government regulations 0.530 42
C24 - Shortage in materials 0.677 19
C47 - Delay in obtaining permits from
authorities
0.726 11
C25 - Delay in material delivery 0.711 14
most important categories of causes of delays. The
major difference in the responses from the different
types of respondents is in the importance given to
“contractor”-related causes; consultants and
developers agree as to the decisive importance of
this category but contractors attach more importance
to “design”-related causes and “consultant”-related
causes. The main conclusion is that consultants and
developers agree more with each other than with
contractors. Since data was collected based on a
Likert-scale, it can be considered as interval data,
correlation analysis is an effective method to study
relationships between these types of variables
(Sekaran and Bougie, 2010). Therefore, the same
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119
conclusion can be inferred analyzing the Spearman’s
rank of correlation (Assaf and Al-Hejji, 2006),
presented in table3, which tests the degree of
agreement between respondent types with a
statistical significance of 0.001. One can also
conclude that the most significant differences in
opinions are between contractors and developers.
4.2 Factor Analysis
Factor analysis is a statistical tool that reveals
correlations between variables that do not appear to
be related and groups them into a much smaller
number of underlying factors (Doloi, 2009). Factor
analysis was useful in this study to identify
correlations between causes of delay that didn’t
seem related at first, and it has been used before in
similar studies (Doloi et al., 2012). To evaluate the
adequacy of the survey results for factor analysis,
the KMO and Bartlett’s test of sphericity were
conducted (Field, 2013).The result of KMO value
was 0.748, which is higher than 0.5, the minimum
value suggested by Kaiser (1974). Eight factors were
extracted representing 30 causes of delay; 17 causes
of delay were found to have no significant
correlation with another one. These eight factors
explained approximately 70% of total variance and
are presented in table 4. The factor analysis was
carried out using principal components analysis of
the statistical package for social sciences (SPSS).
To validate that extracted factors measure what
they are intended to, it is necessary to cross check if
the causes within each factor are related to each
other (Doloi, 2009). To measure the degree of
correlation between causes of delays in each factor,
the Pearson correlation coefficient was calculated
and presented in tables 5 to 12. For coefficient
values greater than 0.7 correlation is deemed to be
strong and for coefficient values between 0.3 and 0.7
correlation is considered moderate. All correlation
coefficients between causes present values higher
than 0.3, so one can conclude that the factors
extracted from factor analysis contain related causes.
Along with this correlation analysis it is also
necessary to conduct a reliability analysis to ensure
the consistency of measured causes and its scale
(Doloi et al., 2012). To this end, Cronbach’s alpha
test was carried out on the causes of delays of each
factor and on all 30 causes of delays extracted from
the factor analysis. The results of this test are
presented in tables 5 to 12. Although there is no
established minimum for an acceptable value of
Cronbach’s alpha (Cα), Doloi (2009) suggests the
following scale: Cα > 0.9 - excellent; 0.9 > Cα > 0.8
- good; 0.8 > Cα > 0.7 - acceptable; 0.7 > Cα > 0.6 -
questionable; 0.6 > Cα > 0.5 - poor and 0.5 > Cα -
unacceptable. All Cronbach’s alpha values are
greater than 0.6 and overall result is 0.917 which is
considered excellent. Therefore, all results of the
factor analysis can be accepted and have statistical
meaning.
Table 3: Spearman's rank of correlation coefficients
categories.
Entity Contractor Consultant
Developer
Contractor 1
Consultant 0.727 1
Developer
0.648 0.831 1
The first factor (inefficient site management)
contains 6 causes of delays all of them directly
related to inefficient site management by the
contractor: delays and changes of subcontractors,
Table 2: Ranking of cause of delay categories.
Category
Respondents
Contractor Consultant
Developer
Global
RII Rank RII Rank RII Rank RII Rank
Developer
0.764 1 0.701 2 0.727 1 0.74 1
Contract and contractual relationships 0.723 2 0.704 1 0.724 2 0.717 2
Contractor 0.664 6 0.623 3 0.711 3 0.657 3
Design 0.693 3 0.576 6 0.636 5 0.649 4
Material 0.647 8 0.588 4 0.704 4 0.635 5
Authority 0.668 5 0.557 7 0.627 6 0.628 6
Consultant 0.685 4 0.509 9 0.578 9 0.617 7
Labour and equipment 0.633 9 0.582 5 0.591 7 0.612 8
External causes 0.659 7 0.53 8 0.582 8 0.609 9
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inadequate construction methods, improper planning
and scheduling, mistakes during construction,
inadequate contractor experience and poor site
management and supervision by contractor. The
contractor plays a decisive role in construction
projects and the quality of its performance is crucial
to avoid delays. If the contractor is not committed to
finishing the project on time than its performance
will be poor and delays will occur frequently.
Contractor performance and commitment brings
together all these causes of delay into one unique
factor and it is easy to understand the correlation
between them.
The second factor (lack of productivity) groups 5
causes of delays related with materials, labour and
equipment: shortages in materials, delay in materials
delivery, low labour productivity, equipment
unavailability and failure and inadequate equipment.
Unavailability of equipment or inadequate
equipment can significantly decrease labour
productivity and it is a clear sign of improper
planning and poor site management. In addition,
shortage in material, which can be a consequence of
delays in materials delivery or improper planning,
also leads to a decrease in labour productivity. Low
labour productivity combined with work stoppages
due to shortages of materials or equipment failure
can also be considered a major reason for
construction delays.
The third factor (poor control) links 4 causes of
delay, all of them related to poor control by the
consultant: inflexibility of consultant, delay in
approval of drawings, delay in quality control and
waiting time for approval of tests and inspections.
Consultants also play an important role in
construction projects and rigidity and inflexibility on
their part can cause significant delays in work
progress. Consultants have to ensure the quality of
the contractor’s performance and have the power to
stop the work progress to perform tests and
inspections. Therefore, if a consultant takes too long
on this process or is inflexible on its demands,
delays can occur and work schedules can be
compromised.
The fourth factor (lack of commitment)
associates 4 causes of delay related with various
categories: lack of control over subcontractor,
inadequate quality of materials, change in materials’
prices and lack of motivation for contractor to finish
early. Although these causes of delays may seem
unrelated, their correlation relies mostly on the
subcontractor’s commitment. Lack of motivation on
the part of the contractor means that it is sloppier in
the process of choosing and controlling the
subcontractors, making it harder for the consultants
to control and monitor all of them. Because of this,
subcontractors feel free to lower the quality of
materials and change their prices in order to increase
their profits.
The fifth factor (lack of communication) groups
together 3 causes of delays related with the contract
and contractual relationships: unrealistic time
schedule and specifications in contract, lack of
communication between parties and disputes and
negotiations between parties. In order to be
competitive, contractors reduce time schedules
beyond reasonable terms and then are unable to meet
their initial proposal. This issue immediately
originates time overruns and frequently leads to
disputes between parties that slow down or stop
work progress. In addition to this, lack of
communication between all parties involved also
leads to disputes and negotiations.
The sixth factor (interference of the developer)
links 3 developer-related causes of delays: slow
decision making by the developer, developer
interference and change orders. Along with the
contractor and the consultant, the developer plays a
major role in construction projects. All these causes
of delay are related to developer interference in the
process, so the correlation between them makes
sense. Slow decision making and interference can
slow down or even stop the work progress and
generate delays. Change orders by the developer
also lead to scheduling modifications that can delay
the completion of a project.
The seventh factor (financial constraints)
associates 3 causes of delays related with financial
issues: delay in progress payments by developer,
financial constraints on the contractor and the
bidding and award of contract process. These causes
of delays are directly related with the financial
problems faced by both the developer and
contractor. Delays in progress payments by the
developer force the contractor to use their own
financial resources to supply the project activities,
otherwise the work will be halted. The type of
bidding and award of contract process is also
associated with these causes due to its financial
nature. Developers frequently choose the lowest
bidder in awarding their contracts. In order to be
more competitive and offer lower prices, contractors
reduce their profit margins and become more
vulnerable to payment delays.
The eighth factor (excess of and changes in
bureaucracy) contain 2 causes of delays related with
bureaucracy: bureaucracy in the developer’s
organization and changes in government regulations.
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121
Table 4: Factor analysis.
Factors extracted
Factor
loading
Factors extracted
Factor
loading
Factor I - Inefficient site management Factor IV – Lack of commitment
C8 - Delays and changes of subcontractors 0.660 C20 - Lack of control over subcontractor 0.725
C9 - Inadequate construction methods 0.650 C22 - Inadequate material quality 0.536
C10 - Improper planning and scheduling 0.818 C28 - Change in material price 0.660
C11 - Mistakes during construction 0.753
C39 - Lack of motivation for contractor to
finish early
0.617
C12 - Inadequate contractor experience 0.652 Factor V - Lack of communication
C14 - Poor site management and supervision by
contractor
0.710
C37 - Unrealistic time schedule and
specifications in contract
0.576
Factor II – Lack of productivity C40 - Lack of communication between parties 0.597
C24 - Shortages in materials 0.592 C41 - Disputes and negotiations between parties 0.770
C25 - Delay in materials delivery 0.596 Factor VI - Related to developer
C30 - Low labour productivity 0.624 C2 - Slow decision making by developer 0.833
C31 - Equipment unavailability and failure 0.714 C3 - Developer interference 0.794
C32 - Inadequate equipment 0.737 C6 - Change orders 0.546
Factor III – Poor control Factor VII - Financial constrains
C17 - Inflexibility of consultant 0.717 C1- Delay in progress payments by owner 0.689
C18 - Delay in approval of drawings 0.802 C15 - Financial constraints on contractor 0.567
C19 - Delay in quality control 0.762 C36 - Bidding and award of contract process 0.624
C21 - Waiting time for approval of tests and
inspections
0.756 Factor VIII – Excess of and changes in Bureaucracy
C7 - Bureaucracy in developer’s organization 0.736
C46 - Changes in government regulations 0.610
Table 5: Pearson correlation between causes for factor I
(C
α
=0.867).
C8 C9 C10 C11 C12 C14
C8 1
C9 0.508 1
C10 0.582 0.541 1
C11 0.553 0.540 0.647 1
C12 0.376 0.364 0.554 0.632 1
C14 0.359 0.580 0.514 0.484 0.587 1
Table 6: Pearson correlation between causes for factor II
(C
α
=0.885).
C24 C25 C30 C31 C32
C24 1
C25 0.789 1
C30 0.509 0.575 1
C31 0.441 0.531 0.664 1
C32 0.577 0.545 0.713 0.763 1
Table 7: Pearson correlation between causes for factor III
(C
α
=0.873).
C17 C18 C19 C21
C17 1
C18 0.703 1
C19 0.570 0.646 1
C21 0.609 0.616 0.651 1
Table 8: Pearson correlation between causes for factor IV
(C
α
=0.750).
C20 C22 C28 C39
C20 1
C22 0.648 1
C28 0.476 0.371 1
C39 0.386 0.327 0.389 1
Both these causes are related to the formal
requirements demanded by the developer and the
legislation. Excessive bureaucracy in the developer’s
organization can delay the work progress in many
ways. The most common types of bureaucracy are
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excessive paper work and inefficient communication
chains. Changes in legislation are also a major
problem in construction projects, on account to their
external nature and unpredictability.
Table 9: Pearson correlation between causes for factor V
(C
α
=0.712).
C37 C40 C41
C37 1
C40 0.301 1
C41 0.416 0.634 1
Table 10: Pearson correlation between causes for factor VI
(C
α
=0.703).
C2 C3 C6
C2 1
C3 0.531 1
C6 0.361 0.440 1
Table 11: Pearson correlation between causes for factor
VII (C
α
=0.651).
C1 C15 C36
C1 1
C15 0.486 1
C36 0.300 0.391 1
Table 12: Pearson correlation between causes for factor
VIII (C
α
=0.670).
C7 C46
C7 1
C46 0.509 1
Finally, from the seven factors extracted in this
study, only 3 can be found in the work of Doloy et
al. (2012), (ie, lack of communication, lack of
commitment and inefficient local management),
reflecting the differences between the contexts.
5 CONCLUSIONS
Based on this research work, one can conclude that
slow decision making by the developer is the major
cause of delays in construction projects in Portugal.
Change orders, unrealistic time schedule and
specifications in contract, financial constraints on
the contractor, the bidding and award of contract
process and delay in progress payments by the
developer are also important causes. Another
conclusion is that consultants and developers have
similar opinions and both of them disagree in certain
matters with the contractor. Developer-related
causes, contract and contractual relationships-related
causes and contractor-related causes are the most
important categories of causes of delays.
Using factor analysis it was possible to connect
and group several causes of delays into eight major
factors that are responsible for delays in Portuguese
construction projects, namely: inefficient site
management; lack of productivity; poor control; lack
of commitment; lack of communication; developer
interference; financial constraints; and excess of and
changes in bureaucracy.
This research contributes to the development and
expansion of construction management knowledge
in the scientific community, particular in the field of
project management, and helps the Portuguese
industry to prevent the causes of delays and,
accordingly, mitigate their effects.
Although the sample size is considerable (139
respondents), a greater number of respondents could
provide more information and increase the statistical
significance of the results. Moreover, the sample is
not equally distributed among the types of
respondents and, despite all the measures taken, this
could give rise to some bias in the responses. One
last limitation of this research is that the results
achieved, whilst comparable with similar published
studies, are specific to the Portuguese realty.
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