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Abstract

Dictionary simply defines complexity as having a large number of interacting parts. Construction projects are often referred to as being complex; however there seems to be no universally accepted definition of the term project complexity in the construction industry. As part of a global research project aimed at establishing the impact of project complexity on project risks at the pre-construction stage, research has been undertaken to establish the current understanding of the term complexity in relation to construction projects in order to produce a clearer definition of the term project complexity for the construction industry. The application of complexity science to the construction industry is not widely researched, however, evidence has been found that the process of construction can in itself be thought of as a complex system. Literature search in the fields of systems thinking and complexity science have been carried out. Structured interviews with practitioners were conducted to confirm and build upon the findings of the literature review to gain an insight into what makes a construction project complex. The findings seem to suggest that the definition of project complexity involve a number of factors beyond simply having a large number of interacting parts. The research reported in this paper therefore provides a greater understanding of the science of complexity in construction and identifies what is understood by the term complexity in the construction industry context. The results seem to suggest that the definition of a complex project should refer to the interaction, interdependencies and interrelationships between parts of a project and that the greatest deal of complexity lies within the organisational aspects of a project.
Project complexity in construction
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Project Complexity in Construction
Hannah Wood
School of Environment and Technology, University of Brighton, Brighton, BN2 4GJ, UK
hw35@Brighton.ac.uk
Kassim Gidado
School of Environment and Technology, University of Brighton, Brighton, BN2 4GJ, UK
K.I.Gidado@Brighton.ac.uk
Dictionary simply defines complexity as having a large number of interacting parts.
Construction projects are often referred to as being complex; however there seems to be no
universally accepted definition of the term project complexity in the construction industry. As
part of a global research project aimed at establishing the impact of project complexity on
project risks at the pre-construction stage, research has been undertaken to establish the current
understanding of the term complexity in relation to construction projects in order to produce a
clearer definition of the term project complexity for the construction industry. The application
of complexity science to the construction industry is not widely researched, however, evidence
has been found that the process of construction can in itself be thought of as a complex system.
Literature search in the fields of systems thinking and complexity science have been carried
out. Structured interviews with practitioners were conducted to confirm and build upon the
findings of the literature review to gain an insight into what makes a construction project
complex. The findings seem to suggest that the definition of project complexity involve a
number of factors beyond simply having a large number of interacting parts. The research
reported in this paper therefore provides a greater understanding of the science of complexity
in construction and identifies what is understood by the term complexity in the construction
industry context. The results seem to suggest that the definition of a complex project should
refer to the interaction, interdependencies and interrelationships between parts of a project and
that the greatest deal of complexity lies within the organisational aspects of a project.
Keywords: system, systems thinking, complexity science, project complexity.
1. Introduction
Complexity is a wide ranging topic which can relate to any subject and therefore there is a wealth of
information pertaining to it, however, there is still little published literature in the area of complexity
in construction industry. The concept of complexity science is still relatively recent in academia and
holds much scope for modern problems that perhaps a more traditional scientific view has struggled
with. With this in mind, exploring the science of complexity and investigating how it can be applied
in industries other than construction could hold many insights into how the construction process could
be improved.
Project success in terms of cost and time over runs, quality and even health and safety is historically
poor in the construction industry. It is a commonly held opinion that the reason for the poor
performance is the design and construction processes being particularly complex. Being able to
measure the complexity at an early stage in a project will lead to better understanding of the project
Project complexity in construction
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and therefore could be of great benefit in successfully managing projects and reducing the risks
associated with complexity.
2. Complexity science
In essence complexity science is a new approach to science, which studies how relationships between
parts give rise to the collective behaviours of a system and how the system interacts and forms
relationships with its environment. Complexity science represents a growing body of interdisciplinary
knowledge about the structure, behaviour and dynamics of change in a specific category of complex
systems known as complex adaptive systems open evolutionary systems in which the components
are strongly interrelated, self organising and dynamic. Rain forests, businesses, societies, our immune
systems, the World Wide Web, and the rapidly globalizing world economy can be thought of as
complex adaptive systems. Each of these systems evolves in relationship to the larger environment in
which it operates (Sanders, 2003). The interplays between order and disorder, predictability and
unpredictability, regularity and chaos, are characteristics of complex systems. Complex systems
abound in the real world, and they reflect the world’s inherent irregularity. The real world is a world
of complexity, of messiness, of change, flow and process and cannot be pinned down to the simple,
solid, unchanging objects people like to cut out of it (Merry, 1995).
There are a number of definitions in the literature describing complexity science and complex systems.
Dent (1999) suggests that “complexity science is an approach to research, study and perspective that
makes the philosophical assumptions of the emerging worldview (EWV)”. Merry (1995) describes
complex systems as those that self organise themselves into states of greater complexity. An overview
of the Santa Fe Institute provided by Merry (1995) says that complex behaviours may emerge from a
number of the basic rules controlling parts of the system. That behaviour is not predictable from
knowledge of the individual elements, no matter how much we know about them, but it can be
discovered by studying how these elements interact and how the system adapts and changes
throughout time. What looks chaotic at first may be predictable from an understanding of the patterns
and rules of complex behaviour. Richardson et al (2000) state that a complex (adaptive) system can
simply be described as a system comprised of a large number of entities that display a high level of
interactivity. The nature of this interactivity is mostly non linear. Stacey (2001) summarises the
structure of a complex adaptive system as follows: The system comprises large numbers of individual
agents; These agents interact with each other according to rules that organise the interaction between
them at a local level. In other words, an agent is a set of rules that determines how that agent will
interact with a number of others and this interaction is “local” in the sense that there is no system wide
set of rules determining the interaction. The only rules are the rules located at the level of the agent
itself. Agents endlessly repeat their interaction referring back to their rules, that is, interaction is
iterative, recursive and self-referential. Agentsrules of interaction are such that the agents adapt to
Project complexity in construction
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each other. The interaction is nonlinear and this nonlinearity is expressed in the variety of rules across
the large numbers of agents. Ongoing variety in the rules is generated by random mutation and cross
over replication. Complex systems cannot exist in isolation. By their very nature they are tied to and
connected to other systems, thus creating a dense web of connections between complex systems
throughout the world. As Merry (1995) said, affecting one system has repercussions in countless other
systems.
Complexity science has emerged from the field of possible candidates as a prime contender for the top
spot in the next era of management science. Richardson et al (2000) suggests that the general message
from the popular complexity science literature seems to be that, where we once focussed on the parts
of a system and how they functioned, we must now focus on the interaction between these parts, and
how these relationships determine the identity not only of the parts, but of the whole system.
Classical science, as practiced in the twentieth century, for the most part makes the philosophical
assumptions that are labelled as the traditional world view (TWV), which include underlying
assumptions of reductionism, objective observation, linear causation, entity as unit of analysis and
others (Dent, 1999). This TWV which has allowed people to make significant achievements in many
fields is no longer serving as a reliable guide. The rise of complexity science has paralleled an
increase in dissatisfaction with the TWV. In essence, Dent (1999) is suggesting that a new way of
thinking is needed to solve modern issues. Complexity is a new science precisely because it has
developed new methods for studying regularities and not because it is a new approach for studying the
complexity of the world. Science has always been about reducing the complexity of the world to
(predictable) regularities. Consequently, rather than define complexity science by what is studied (i.e.
a complex universe); the focus should be on the methods used to search for regularities (Phelan, 2001).
Complexity science introduces a new way to study regularities that differs from traditional science.
3. Complexity in construction
Complexity can be difficult to define as it has a number of different connotations. The Collins English
Dictionary (2006) defines complexity as “the state or quality of being intricate or complex”, where
complex is defined as “made up of many interconnecting parts”. It should be noted that the word
complex is sometimes used where complicated is meant. Complex should be used to say only that
something consists of several parts rather than it is difficult to understand, analyse or deal with, which
is what complicated inherently means.
Complexity is a term often used when discussing construction projects. In general construction
projects are all made up of many interconnecting parts so in that aspect fit the dictionary definition of
complexity well. However, complexity can be viewed as more than the simple definition we have so
far. It is a common statement that the construction process is one of the most complex and risky
Project complexity in construction
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businesses undertaken, Baccarini (1996) states that the construction process may be considered the
most complex undertaking in any industry, however the construction industry has developed great
difficulty in coping with the increasing complexity of major construction projects. Therefore an
understanding of project complexity and how it might be managed is of significant importance. This is
supported by Mills (2001) who describes the construction industry as one of the most dynamic, risky
and challenging businesses and goes on to say however that the industry has a very poor reputation for
managing risk, with many major projects failing to meet deadlines and cost targets. Mulholland and
Christian (1999) support this further, adding construction projects are initiated in complex and
dynamic environments resulting in circumstances of high uncertainty and risk, which are compounded
by demanding time constraints.
Baccarini (1996) proposes a definition of project complexity as “consisting of many varied interrelated
parts and can be operationalised in terms of differentiation and interdependency.” Baccarrini explains
that this definition can be applied to any project dimension relevant to the project management
process, such as organisation, technology, environment, information, decision making and systems,
therefore when referring to project complexity it is important to state clearly the type of complexity
being dealt with.
Gidado (1996) presents the results of a number of interviews to gauge what experts in the building
industry consider project complexity to be, they see a complex project as the following:
That having a large number of different systems that need to be put together and/or that with a
large number of interfaces between elements;
When a project involves construction work on a confined site with access difficulty and
requiring many trades to work in close proximity and at the same time;
That with a great deal of intricacy which is difficult to specify clearly how to achieve a desired
goal or how long it would take;
That which requires a lot of details about how it should be executed;
That which requires efficient coordinating, control and monitoring from start to finish;
That which requires a logical link because a complex project usually encounters a series of
revisions during construction and without interrelationships between activities it becomes very
difficult to successfully update the programme in the most efficient manner.
From these results Gidado (1996) suggests that there seem to be two perspectives of project
complexity in the industry: (1) The managerial perspective, which involves the planning of bringing
together numerous parts of work to form work flow and; (2) The operative and technological
Project complexity in construction
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perspective, which involves the technical intricacies or difficulties of executing individual pieces of
work. This may originate from the resources used and the environment in which the work is carried
out.
Gidado (1996) offers that project complexity is the measure of difficulty of executing a complex
production process, where a complex production process is regarded as that having a number of
complicated individual parts brought together in an intricate operational network to form a work flow
that is to be completed within a stipulated production time, cost and quality and to achieve a required
function without unnecessary conflict between the numerous parties involved in the process. Or it can
simply be defined as the measure of the difficulty of implementing a plan to achieve a number of
quantifiable objectives. From this, Gidado (1996) organises the sources of complexity factors that
affect the managerial objectives in construction into two categories: (1) Category A, this deals with the
components that are inherent in the operation of individual tasks and originate from the resources
employed or the environment and; (2) Category B, this deals with those that originate from bringing
different parts together to form a work flow. This distinction between sources of complexity that are
inherent in an activity and those which are brought about from the interaction between activities is an
important one to make. By identifying the complexity that exists due to the interaction of activities it
is possible to manage and control that complexity. Gidado (2004) also identified that project
complexity has six main components, each made up of a number of intersecting factors, these are:
Inherent complexity
Uncertainty; Number of technologies
Rigidity of sequence
Overlap of phases or concurrency
Organisational complexity
Baccarini (1996) highlights the importance of complexity to the project management process by
making the following statements:
Project complexity helps determine planning, co-ordination and control requirements;
Project complexity hinders the clear identification of goals and objectives of major projects;
Complexity is an important criterion in the selection of an appropriate project organisational
form;
Project complexity influences the selection of project inputs, e.g. the expertise and experience
requirements of management personnel;
Project complexity in construction
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Complexity is frequently used as criteria in the selection of a suitable project procurement
arrangement;
Complexity is frequently used as a criterion in the selection of a suitable project procurement
arrangement; and
Complexity affects the project objectives of time, cost and quality - broadly, the higher the
project complexity the greater the time and cost.
Bertelsen (2003) discusses construction as a complex system; he explains that the general view of the
construction process is that it is an ordered, linear phenomenon, which can be organised, planned and
managed top down. The frequent failures to complete construction projects on time and schedule give
rise to thinking that the process may not be as predictable as it may look. A closer examination
reveals that construction is indeed a nonlinear, complex and dynamic phenomenon, which often exists
on the edge of chaos. A firmly founded theory of project management should start with an
understanding of the nature of the project itself. Generally, project management understands the
project as an ordered and simple, and thus predictable phenomenon which can be divided in to
contracts, activities, work packages, assignments etc. to be executed more or less interdependently.
The project is also seen as a mainly sequential, assembly like, linear process which can be planned in
any degree of detail through an adequate effort, and the dynamics of the surrounding world is not
taken into account. Bertelsen (2003) states that the perception of the projects nature as ordered and
linear is a fundamental mistake and that project management must perceive the project as a complex,
dynamic phenomenon in a complex and non linear setting.
Bertelsen (2003) also suggests that the complexity aspect must be seen in at least three perspectives.
Firstly, the project itself is an assembly like process which is often more complicated, parallel and
dynamic, and thus more complex than traditional project management envisages. The mistake is the
assumption of the ordered view of the surrounding world. All supplies are believed to be made in
accordance with projects unreliable schedule, and all resources such as equipment and crew are
supposed to stand by, ready for the projects beck and call. Secondly, the construction industry is
highly fragmented and its firms cooperate in ever changing patterns, decided mainly by the lowest bids
for the project in question. They are also interwoven, as every firm at the same time participates in
more than one project, utilising the same production capacity. Almost all projects are divided into
parts that are subcontracted to individual enterprises, and these contracts are almost always made to
the lowest prices. Thus we have a production system consisting of individual operators, each trying
against odds to get a reasonable earning for their own business out of their lowest bid. This can only
be done through an optimal resource utilisation. But as they all work with the same resources on more
projects than the one in question, this ties our project firmly, but secretly, more or less to all other
projects that are being executed in our region, and maybe the whole country. Nobody knows where
Project complexity in construction
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the ties are so tight that we get strong and unplanned influence from unforeseen events in other
projects. The construction sector, due to its contracting practice, forms an interwoven network of high
complexity and a great dynamic. Thirdly, the construction site is a working place for humans and a
place for cooperation and social interaction, which because of the temporary character, forms a highly
transient human system. This aspect is often hidden by the fact that staff at the production facility,
the construction site, are not hired and reimbursed by the place where they work. Their loyalty is
divided between their own firm and the job at hand, often with the firm as the one with the highest
priority. Traditional project management often overlooks this aspect and does not perceive the gangs
on the sites as their own employees in the virtual firm, which is formed by the project.
4. Methodology
The data collected has encompassed a mixture of both qualitative and quantitative data. This mixed
approach has been used to gain the most appropriate data to fulfil the aim of the research.
Questionnaires and semi structured interviews were designed based upon the information identified in
an in depth literature review. The questionnaires comprised a number of questions asking the
respondent to score each statement on a scale of one to ten. These statements relate to definitions and
components of complexity that have been identified throughout the literature. The questionnaires
were piloted on members of academic staff to ensure they were clear and concise. The semi structured
interviews were used to build upon the information from the questionnaires and further explore how
complexity is perceived in industry.
All the participants were selected via criterion sampling, criterion sampling is where all cases meet
some criterion which is useful for quality assurance (Miles and Huberman, 1994). The aim of
sampling the potential interviewees is to ensure that a realistically achievable amount of interviews
can be conducted whilst still representing the views of the wider community. This type of sampling
has also been used to obtain information that will be the most pertinent to the research. The criteria
for the selection of interviewees are as follows, they must:
have experience of ‘complex’ projects
work at a management (strategic) level in construction
work in the south east of England
have a construction related degree or equivalent qualification
10 years plus construction experience
experience in planning/risk issues
For the interviews at this stage of the research a constant comparison grounded theory approach was
selected. The term grounded theory means theory that was derived from data, systematically gathered
Project complexity in construction
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and analysed through the research process (Strauss and Corbin, 1998). In this method, data collection,
analysis and eventually theory stand in close relationship to one another. Theory derived from data is
more likely to resemble the ‘reality’ than is theory derived by putting together a series of concepts
based on experiences or solely through speculation (how one thinks things ought to work). Grounded
theories, because they are drawn from data, are likely to offer insight, enhance understanding and
provide a meaningful guide to action. The data from the questionnaires was used to derive an
importance index and a severity index for each statement, allowing them to be ranked. From this a
clear definition of complexity in construction can be generated and the most important components
can be identified.
5. Results
These are preliminary results which are based upon the findings from the pilot study questionnaires
and interviews. These interviews took place with experts in the field to ensure that relevant data was
collected. Further interviews are to be carried out with a greater range of participants to expand the
results. To date, seven interviews have been conducted, the participants have included directors of a
large international project management consultancy, site based project managers and contracts
managers and design managers for a large international contractor. It is clear from the results that
project complexity is made up of a number of factors which makes project complexity a difficult entity
to define and quantify, however, from the results it is also clear that some factors are considered far
more important when defining project complexity therefore identifying what is considered to make a
construction project complex.
Rank
Definition statement
1
Projects with a high interdependency between the parts
2
Projects with a high degree of interaction between the parts
2
Projects that are continuously changing/evolving
4
Projects made up of many interconnecting parts
5
Projects that are surrounded by an intricate environmental envelope
6
Projects comprising of entities with a high level of interface
7
Projects that have a high degree of non linear interaction with their environment
8
Projects that have a high level of non linear interaction
8
Projects having a number of complicated individual parts
10
Projects involving a high degree of diverse tasks
11
Projects that have high interaction with their environment
12
Projects that have a high dependency on their environment
13
Difficulty of executing individual tasks that make up a process
13
Projects with a great deal of intricacy
15
Projects with a large number of parts
Table 1 Definition statement ranking
Project complexity in construction
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Rank
Component
1
Organisational complexity
2
Uncertainty
3
Inherent complexity
4
Overlap of construction elements
5
Rigidity of sequence
6
Number of trades
Table 2 Main component ranking
Rank
Sub Component
1
Poor channels of communication
2
Poor generation and use of information
3
Lack of working drawings
4
High degree of overlap of design and construction
5
High degree of interrelationship between activities in the different overlapping parts
5
High interdependencies between the roles of various trades in a task
7
Technical core environmental layer (e.g. underwater construction, chemical)
7
High degree of overlap of construction phases
9
Role that has no known procedure
9
Technically complex role the requires special skill, knowledge and equipment
11
Environmental influence cultural/social/legal environmental layer
12
Lack of uniformity due to continuous change in material or other resource
13
Unpredictable sub-surface
14
Lack of experienced local workforce
15
Conducting or managing a role for the first time
16
Rigidity of sequence between the various packages within a phase
16
Rigidity of sequence between the various operations within a package
18
Unpredictable work in a defined new structure (e.g. as in new work added to old
buildings without record drawings)
19
Rigidity of sequence between the various tasks within an operation
20
Physically difficult role that requires the use of complex equipment
20
Lack of uniformity due to lack of working space and or access
22
Technically complex role that requires locally available special skills
22
Undefined structure or poor buildability assessment (e.g. refurbishment works of old
buildings)
24
Technically complex role due to the sophistication of the equipment or method
25
The effect of weather or climatic conditions
26
Lack or uniformity due to mechanical or other resource breakdown
27
Physically difficult role that requires simple or no equipment
Table 3 Sub component ranking
Table 1 shows the ranking of the 15 definition statements from the questionnaire. Projects with a high
degree of interaction between the parts scored the highest, followed by projects that are continuously
changing/evolving and projects with a high interdependency between its various parts which scored
equally and then projects made up of many interconnecting parts. Apart from projects that are
continuously changing/evolving all the top scoring statements relate to the interaction and
interdependency of the parts in a project. This suggests that the industry perceives projects with a high
degree of interdependency, interaction and interrelationships between the parts as those projects which
will be complex. This is in line with the dictionary definition of the term complexity; however, it is
perhaps the components of project complexity which really identify what makes a project complex.
Project complexity in construction
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Table 2 shows the ranking of the main six components of complexity. Organisational complexity
scored consistently highly in the questionnaires giving it the greatest importance index. Interestingly,
although in the definition statements projects with a high level of interaction between its parts scored
highly, in this section the number of trades scored the lowest, indicating that it is about the interaction
between the parts that is important in terms of complexity, not necessarily the number of parts that
makes up the project. Each of the main components is further broken down into a number of sub
components of project complexity. By identifying the main component that makes a project complex,
it is anticipated that the sub components scoring the highest would be those relating to organisational
complexity. This is indeed the case with poor channels of communication and poor generation and
use of information being identified as the top two of the 27 sub components that make a project the
most complex shown in Table 3. Also rated highly are those sub components which relate to the
interaction and interrelationship between parts in a project, this concurs with the high ranking of these
factors in the definition statements. The components which were rated the lowest were those that
related to the individual tasks in a project and the technical complexity involved.
An important concept to note is the fact that whilst alone many of these factors contribute to making a
project complex, it is in fact when a combination of these factors are encountered that the greatest
effect is experienced. Simply having a project that has a high degree of overlap between design and
construction can be complex but manageable, however when this is coupled with poor channels of
communication and high interdependencies between roles the project becomes much more complex.
In practice, it is unlikely that any large project will only encounter one of the factors which can make a
project complex and therefore understanding where the complexity comes from and the combinations
of the factors is of key importance to being able to properly manage and deal with the complexity in
any project.
In addition to the information gained from the questionnaires, a number of interesting issues were
identified as a result of the semi structured interviews which took place with industry experts. There is
a general consensus that although technical aspects of a project can greatly add to the complexity, it is
in fact the organisational aspects which contribute more to the complexity of the project. Whilst
technical complexity is a definite factor in project complexity, it was felt that this was much easier to
deal with than complex relationships and organisations. When rating the components from the
questionnaire, the factors concerning organisational complexity were rated consistently high. Poor
communication and poor use of information were seen as significant factor contributing to the
complexity of a project.
Part of the organisational complexity that was highlighted was to understand the stake holder’s
positions in the project, for example where there is a multi headed client, it was noted that this
situation could greatly add to the complexity of a project due to the different interests of different
stakeholders.
Project complexity in construction
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Another important factor relating to the complexity that was emphasised by the industry experts was
the need to have a clear and well defined project brief and to understand the client’s needs. Without
this understanding a project may become needlessly complex. It is vital that the client has a clear idea
of what they want and that their needs are clearly communicated to other parties involved in the
project.
Also identified was the need to distinguish between managing projects and programmes which include
a number of projects as this has an obvious impact upon the complexity. A project that has a single
building or development for example an office development project can be affected by all of the
components identified earlier, however if this development is part of a much larger scheme including
residential developments, school buildings, leisure facilities and all of the infrastructure needed for
these, the complexity of the scheme as a whole becomes much greater as not only is each individual
project subject to all of the factors of complexity already identified, but the interaction between each
project must also be taken into account.
6. Conclusion
The aim of this paper has been to provide a greater understanding of the science of complexity and its
applications to construction and to identify what is understood by the term complexity in the
construction industry. This has been accomplished through means of an in depth literature review
investigating complexity science and complexity in construction and then followed by a number of
semi structured interviews and a questionnaire survey. The application of complexity science to the
construction industry is not widely researched, however, evidence has been found that the process of
construction can in itself be thought of as a complex system. It is argued that too often the
construction process is thought of as an ordered, linear, and thus predictable, phenomenon which can
be divided into contracts, activities and work packages which can be managed top down. This view of
construction may be leading to the poor success rates in terms of time, cost and quality which are often
experienced and a different perspective may improve this. The construction process should be
perceived as a complex, dynamic phenomenon in a complex and non linear setting.
The findings presented here are from the early stages in the research and therefore will be further built
upon via more widespread interviews with more industry experts. The results of the questionnaire and
interviews seem to suggest that the definition of a complex project should refer to the interaction,
interdependencies and interrelationships between parts of a project, which is similar to the dictionary
definition of complexity. However, when investigating what actually makes a project complex, the
organisational aspect of a project was seen to be the most important component. Findings support the
observation made by Gidado (1996) that complexity has two perspectives in the industry, firstly the
managerial perspective and secondly the operative and technological perspective. However a greater
Project complexity in construction
12
deal of emphasis has been placed on the managerial or organisational structure than on the operational
or technological perspective as these were felt to be simpler to.
Of key importance to the research was that the complexity in a project needs to be identified at the
earliest stage possible in order to be able to manage it appropriately. Whilst it wasn’t seen as
necessary to have a numerical measure of complexity, identifying where the complexity lies in a
project was identified as a critical factor to project success.
7. References
BACCARINI, D. (1996) The concept of project complexity - a review. International Journal of Construction
Management. 14, 201-204.
BERTELSEN, S. (2003) Complexity - construction in a new perspective. 11th Annual conference in the
international group for lean construction. Blacksburg, VA.
DENT, E. (1999) Complexity science: A worldwide shift. Emergence. 7, 5-19.
DICTIONARY (2006) Collins English dictionary and thesaurus. Glasgow: Harper Collins.
GIDADO, K. (1996) Project complexity: The focal point of construction production planning. Construction
Management and Economics. 14, 213-225.
GIDADO, K. (2004) Enhancing the prime contractors pre construction planning. Journal of Construction
Research. 5, 87-106.
MERRY, U. (1995) Coping with uncertainty - insights from the new sciences of chaos, self organisation and
complexity. Westport: Praeger publications.
MILES, M. B. & HUBERMAN, A. M. (1994) Qualitative data analysis: An expanded sourcebook. London:
Sage Publications.
MILLS, A. (2001) A systematic approach to risk management for construction. Structural survey. 19, 254-252.
MULHOLLAND, B. & CHRISTIAN, J. (1999) Risk assessment in construction schedules. Journal of
Construction Management. JAN/FEB 99, 8-15.
PHELAN, S. (2001) What is complexity science, really? Emergence. 3, 120-136.
RICHARDSON, K., CILLIERS, P. & LISSACK, M. (2000) Complexity science: A grey science for the stuff in
between. 1st International conference on systems thinking in management. Deakins University, Australia.
SANDERS, T. I. (2003) What is complexity. Washington,
Washington Centre for Complexity & Public Policy.
STACEY, R. D. (2001) Complex responsive processes in organisations: Learning and knowledge creation.
London: Routledge.
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STRAUSS, A. & CORBIN, J. (1998) Basics of qualitative research: Techniques and procedures for developing
grounded theory. London: Sage Publications.
... Construction projects are not an exception as many researchers have linked the high degree of complexity with many construction project outcomes including, but not limited to, cost overrun, delays, low quality, poor safety conditions, disputes between partners, inappropriate management of risks, low levels of client satisfaction, and poor communication between stakeholders [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17]. Accordingly, improper understanding of the complexity and its sources was considered one of the reasons for construction project failure [18,19]. ...
... It also impacts the level of site congestion and influences the number of specialists in the project. Additionally, cultural diversity, dispersion in geographical locations of the stakeholders, and their different visions affect the feeling of belonging to the project, shared sources, and the decision-making process [18,40,55,61,64,68,75]. ...
... The availability of resources, including people, materials, equipment, and expertise, plays a significant role in managing complexity. This is because shortages in resources hinder progress and decrease uniformity in the work [18,19,24,29,30,34,38,40,41,53,62,75,76,80]. ...
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Improper understanding of complexity can be a leading factor in the failure of construction projects. This study aims to provide a be er understanding of the complexity of construction projects. For this purpose, this study uses the systematic literature review (SLR) approach to review the related literature and propose a definition for complexity and the criteria that affect the degree of complexity in construction. The results of analyzing 49 studies from the literature showed that, generally, complexity is understood in three ways: the meaning of the word "complexity", system and organizational complexity, and project complexity. Within these three types of definitions, it was found that "interdependency" and "multiple parts/parties" are the most frequently used keywords. The results also showed that another look at the current lingual definition of complexity is needed. Regarding the criteria, the results showed that the "number of stakeholders", "scope and project objectives", and "management structure" are the most important criteria to assess construction project complexity. Accordingly, this study provides a set of recommendations and strategies to help manage complexity in construction projects.
... There are numerous concepts of complexity, according to Saed et al. (2018), project complexity is a critical issue since it is intimately related to the project life cycle, particularly in the construction industry. The Collins English Dictionary (2006) defines complexity as "the state or quality of being intricate or complex", whereas complex is defined as "made up of many interconnecting parts" (Wood & Gidado, 2008). Complexity is a broad concept that can apply to any subject. ...
... Cardoso (2006) defined process complexity as "the degree to which a process is challenging to analyze, understand or explain". Wood and Gidado (2008) stated that complexity could be hard to define as it has several different meanings. According to Wood and Gidado (2008), the application of complexity to the construction industry is not commonly studied, but some evidence has been found that the construction process can be considered a complex method. ...
... Wood and Gidado (2008) stated that complexity could be hard to define as it has several different meanings. According to Wood and Gidado (2008), the application of complexity to the construction industry is not commonly studied, but some evidence has been found that the construction process can be considered a complex method. Construction processes have been considered the most complex undertaking in any industry, and recently the construction industry has had difficulty coping with the increasing complexity of major construction projects (Baccarini, 1996). ...
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Cost overruns are typical in infrastructure projects all around the world. However, previous studies have shown a lack of understanding of the term complexity in the construction industry, specifically regarding infrastructure projects. This paper is part of the research project, which aims to identify the most significant complexity factors contributing to project performance and develop a complexity assessment model for infrastructure projects. This paper aims to categorize and rank the complexity factors affecting the cost performance of infrastructure projects during the pre-construction stage. A survey questionnaire was designed to identify complexity factors affecting infrastructure project cost performance during the pre-construction phases. One hundred and six (106) managers consisting of clients, consultants, contractors, sub-contractors, and others involved in infrastructure projects have responded to the survey. Using Rasch Model Analysis, the significant complexity factors with logit measure ranges show that these complexity factors are critical and vastly impact infrastructure project cost performance. The following six (6) most significant pre-construction complexity factors affecting cost performance (PRECO) have been identified: original design errors, low bid award that is qualified or non-compliant, redesign because over-budgeted, lack of optimization cost and time, lack of design coordination information between consultant and client, and unit prices that are not properly specified or evaluated. This study contributes to integrating complexity assessment for infrastructure projects during the pre-construction life cycle in line with the Twelfth Malaysia Plan for the construction industry.
... These are "Inherent complexity, Uncertainty, Number of technologies, Rigidity of sequence, Overlap of phases or concurrency, and Organizational complexity." As per the evaluation of complexity by Wood and Gidado [33], the reasons for poor performance in project execution come from the complex process of design and execution. An early understanding of the complexity will help devise suitable strategies ahead of time. ...
... In the analysis by Wood and Gidado [33], complexity in building projects is found to be driven by (a) the combination of many diverse systems and the existence of multiple interfaces between the elements, (b) a confined site with access difficulty and multiple trades compelled to work together, (c) the inability to define the strategy or path to achieve the goal and the time frame given the intricacies, (d) they require detailing on execution and greater coordination, monitoring, and control from end to end, and (e) they require logistical linkages to deal with revisions and changes. ...
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Building projects as sub-sect of construction projects are complex and different in design and performance attributes. The prominent classes of building projects are high-rise residential buildings, hospitals, hotels, general offices, retail buildings/malls, educational institutions, and warehouses. In this study, building projects have been classified based on their end use. Complexities vary between construction projects and within various types of building projects, as well as across regions and countries. Understanding the sources of complexity is imperative to strategize their successful development. This research paper attempts to identify the sources of complexities using the design and performance attributes of seven prominent building types. A survey was conducted through experienced architects and construction professionals (the mean years of experience being approximately 13.88 years) over 34 different attributes or parameters under six categories. These attributes have been shortlisted from past research work by various authors, and the pilot study for this project. The Kruskal-Wallis Test was used to calculate the mean ranking and to confirm that the medians of each building type were not the same when compared against each attribute, irrespective of the level of complexity. Using data analysis and the mean ranking scores as a representation of relative complexity, primary sources of complexity in each class of buildings have been identified and listed. The results indicate that hospitals (as a building typology) are relatively the most complex building facilities in terms of design and performance attributes, showing the highest mean ranking towards 16 attributes (with only one shared ranking). Hospitals are followed by retail/malls (10 with one shared ranking), hotels (3), high-rise residential buildings (4), educational institutions (2), general offices (0), and warehouses (0). Strategies to manage these attributes have been proposed for each building typology so that the risks emanating from the complexities of these building projects can be mitigated and effectively managed at the design stage.
... The degree of complexity in infrastructure projects has a history of being the main reason for poor performance and project failure in terms of cost overrun, schedule delay low quality along safety issues (Wood and Gidado, 2008;Bosch-Rekveldt, 2011;Li et al., 2022;Ghaleb et al., 2022). ...
Article
Purpose There is a general assumption that the early involvement of the contractor contributes to value in construction projects. While early contractor involvement (ECI) may improve the value, some studies identify challenges with ECI. This paper aims to identify the main parameters that can be used to determine the optimal time for contractor involvement and examine how these parameters can be used by clients to develop a systematic method for finding the optimal timing for involvement. Design/methodology/approach Literature studies, interviews, workshops and focus-group meetings identified six main parameters essential for developing a method to determine the ideal timing for ECI. Findings The six identified parameters are activity, complexity, criticality, technical competencies, relational competencies and uncertainty. These parameters can be used to identify the gap between the available competency in the project team and the needed competency to perform an activity. Originality/value Although clients have ways to identify the optimal time for contractor involvement, these ways are mainly subjective and based on in-house practice. By evaluating these six parameters, a more systematic and objective method for early involvement can be developed.
... The construction industry is complex in nature and consists of complex projects which have a large number of divergent systems and require thorough monitoring/ coordination and control from beginning to end (Wood & Gidado,2008). Furthermore, Wood et al (2008) stated that the complexity of construction projects can be in terms of the managerial perspective, operative and technological perspectives. Hence, in order for the complex nature of the construction industry and its project to be effectively managed, the managerial, operative (especially the human resource), and technological aspects must be given the utmost attention. ...
Conference Paper
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The Construction industry is labour intensive, male-dominated and the nature of work is predominantly manual. The manual jobs carried out in the construction industry are both skilled-based and unskilled-based, which require physical presence most times, the use of strength, and are too tedious for most women to fit in. Hence, the adoption of technologies like those of construction 4.0 can further encourage more women's participation in the construction industry. This study aims at promoting gender equality and encouraging more participation of women in the construction industry through the use of construction 4.0. The methodology includes survey design and purposive sampling techniques. Data were analyzed using mean and rank order. The findings revealed that Construction 4.0 technologies include Building Information Modeling (BIM), drones, etc. Among the Construction 4.0 technologies that can enhance women's participation in the construction industry are; drones/ robots for technical assistance, the Internet of things/semantics for interconnection and interoperability, and BIM for decentralized decision, etc. The adoption of these technologies can be encouraged by making them readily available at a subsidized rate, upskilling/ reskilling workers, and continuous sensitization of professionals. The study recommends that Government should provide the enabling environment/policies to encourage investment in these technologies.
... Nature, extent, and quality of the programme information available ###-6 the sources while having the AACE relate the dispute complexity to the selection of the DAT. In five of the sources, project size is mentioned along with project complexity which contributes to the idea that complexity can be perceived as a factor with sub factors such as project size, project type, interdependency, and interaction between project parts, etc... (Wood and Gidado 2008). Perera (2016) related complexity to mechanical and electrical works difficulty. ...
Chapter
The increasing complexity and magnitude of the projects impose greater impact of delays on stakeholders. Construction delays are a major source of disputes in construction projects. Since a construction project depends on interactions and shared responsibilities among parties, research works were directed towards identifying delay causes, quantifying their impacts, and proposing ways to deal with them. Different delay analysis techniques (DATs) applied to the same project’s delays provide different results, and thus, the selection of technique to use in evaluating delays becomes vital. Reviewing the literature, it has been realized that often there are disagreements, which lead to escalating a claim into a dispute, between engineers and contractors on the technique to be used to evaluate the delay. A dispute results in additional costs, time, and in some cases negatively impacts the relation between the parties as it goes up the ladder of dispute resolution. Some research was conducted to gather experts’ opinions on the best technique to be used; however, little research was done to quantify factors behind the selection and transform them into a numerical model. This research is an attempt to support different parties in selecting the most appropriate DAT to be used for a delay by building a model based on quantifying experts’ opinions to score different factors influencing the selection of DATs. Moreover, a survey based on the Egyptian market was conducted and used to build the model. Results of the survey were compared to surveys, from different countries, that tackle those different factors. This research helps in integrating the efforts that were exerted to tackle this challenge while providing analysis of how different factors are perceived through different law systems. Delay analysts, contract administrators, and other parties can use the model to validate their chosen DAT for a claim.KeywordsDelay analysis techniqueQuantitative approach
... Joint infrastructure and real estate projects, related to the requirements of multimodal mobility, require the use of digital planning, realization and facility management of the assets due to the increasing complexity and therefore risk (Baccarini, 1996;Berechman and Wu, 2006;Brockmann and Kähkönen, 2012;Gidado, 1996;Luo et al., 2017;Schalcher, 2010;Winchur, 2019;Wood and Gidado, 2008). This is accompanied by increased legal requirements with resulting compliance Fan et al., 2018;Jiang, Ma and Zhang, 2018;Mwelu et al., 2018;Rezgui, Beach and Rana, 2013). ...
Thesis
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The research gap consists of unspecified data and requirements at the beginning of a construction project that a client has for the facility management (FM) phase of an asset to operate it efficiently and effectively. This with the aim to enable further applications based on Building Information Modelling (BIM). Building owners are dependent on accurate data for the FM. Yet, the data currently available due to digital methods are mostly not structured or do not focus on the FM but on the shorter construction phase. It is therefore only possible to provide additional services and applications to the user, FM and the public with an increased expenditure of resources. The Design Science Research approach is applied. The result is a generic, model-based, reusable and extensible conceptual framework to incorporate FM data based within the three-dimensional model-based design and construction of an asset to enable smart applications, which are introduced. The approach is exemplified by a use case of the reservation of a meet-ing room. The conceptual framework is composed of empirical data from expert interviews, questionnaires and factual analysis from 13 projects of different sizes. The findings were assessed by an international panel of experts. The conceptual framework shows which phases need which data, who needs them, and which added value can be generated if intelligent data structuring is used at the beginning of the construction project and bridges the gap between requirement and practice.
... According to Wood and Gidado [61], measuring complexity at the early stage of the construction project provides great benefits to manage the project successfully and decrease the risk associated with the project. Similar to the findings of this study, from the global context also, the importance of risk as a procurement selection factor has been highlighted by [7]. ...
Chapter
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Procurement is the complete process of distributing responsibilities among stakeholders, organizations as well as all those contributing towards the clients’ satisfaction. The procurement method plays a major role in the construction industry. The application of the wrong procurement method could cause an unnecessary increment in the total cost for the client, disrupting outlined project schedules and creating undesirable situations for the client. Thus, selection of the most suitable procurement method is important for the success of any construction project. Selection of a procurement system usually takes long time due to consideration of numerous factors. However, analysing key procurement factors is helpful for clients who have limited time to finish the project. Hence, this research focuses on finding the most suitable procurement selection factors for private-sector commercial building projects in Sri Lanka. A comprehensive literature review was carried out to acquire the knowledge on existing procurement methods and procurement selection factors. Thereafter, the study incorporated expert interviews to identify, analyse, and validate the key procurement selection factors. Purposive sampling was selected as the sampling technique, and 13 experts were interviewed through online. The main four procurement systems were identified as traditional, integrated, management oriented, and collaborative procurement systems. Each procurement method has different characteristics which make them different from one another. The selection of a procurement method is different due to various procurement selection factors which vary from project to project. These factors include speed, cost, quality, risk allocation, responsibility, accountability, price certainty, and market competition for the project, regulatory environment, public accountability, culture, government policy, disputes and arbitration, availability of experience contractor, policy or objective of organization, technology, and many more. Within the context of Sri Lanka, speed, nature, scope, and complexity, price certainty, and risk and responsibility were revealed as the most important procurement selection factors. Moreover, these procurement selection factors were identified as key factors internationally.
Article
This paper explores the practice of participatory design (PD) in the process of designing functionally and technically complex buildings, exemplified through the case study of the Faculty of Mathematics and Natural Sciences in Pristina (Kosovo), a building that conducts and promotes scientific discoveries. Functional complexity refers to the number and diversity of functions the building needs to accommodate, while technical complexity refers to the degree of sophistication and intricacy in the building’s systems and components. Participatory design can be a valuable design approach in designing complex buildings. The case of the Faculty of Mathematics and Natural Sciences in Pristina (Kosovo) is an example of how PD can be transformed into an instrument of understanding the complexity of the building by promoting a user focused design approach and helping in designing the tools of involvement depending on the goals to be achieved. Briefing workshop, design game and choice catalogue were methods that were used while a variety of tools were designed during the design stages; some were adaptations of existing PD tools and others were designed especially for this case. The participants included a diverse ‘multiple community’ of stakeholders, comprising end users (students, professors and administrative staff), strategic partners (client, investor, project manager and executives) as well as the technical working group (engineers and technical experts). The results demonstrate PD’s transformative potential into a structured instrument for understanding, analysing and preventing mistakes in the design of complex buildings.
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The modern construction industry in Sri Lanka focuses on introducing environment friendly and long durable sustainable materials in constructions. Modern trend is producing different types of earth soil-based building blocks and innovating modified daub mixture-based structures. However, surface cracking and damage due to flood are the major issues that are faced in some soil-based structures. The use of cellulose fiber as a reinforcement material has many advantages such as providing adequate stiffness, strength, and bonding capacity to cement-based matrices for substantial enhancement of their flexural strength. The aim of present study was to find out the possibility of using Alkaline Hydrogen Peroxide (AHP)-pretreated cornhusk fibers as a reinforcement material to prepare soil and cement-based composite mixture for development of roofing sheets, ceiling sheets, and wall panels. The AHP pretreatment is an effective pretreatment that could be performed at room temperature and under atmospheric pressure for extracting cellulose from agro plant residue like cornhusks. Cornhusks is comparatively one of freely available agro plant residues in Sri Lanka and with required chemical composition, from which cellulose could be extracted easily from AHP pretreatment. The selected earth soil was laterite and has dark reddish color. The composite mixture was prepared by mixing of earth soil, cement, and AHP-pretreated cornhusks fibers in the weight ratios of 1:1:0.025 of, respectively, with a certain amount of water. Roofing sheets, ceiling sheets, and wall panels were prepared using the said composite mixture and were analyzed for morphological characteristics, water absorbency, flexural load, and durability. The developed composite samples have reddish to brownish color. The water absorbency, flexural load, and durability were of satisfactory level. These can be used in construction of low cost attractive and environment friendly architectural constructions especially in areas where tourists frequent in Sri Lanka.
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"complexity science in organizations" is that there is no commonly accepted definition of what this term means (White et al., 1997). Definitions have been offered, such as "complexity is a watchword for a new way of thinking about the collective behavior of many basic but interacting units... complexity is the study of the behavior of macroscopic collections of such units that are endowed with the potential to evolve in time" (Coveney and Highfield, 1995: 7). Although this definition is very descriptive, it still seems general and unfocused. The purpose of this article is to offer a simple definition for complexity science and to demonstrate the shift in worldview necessary for complexity science to become second nature to people as traditional science now is. Simply put, complexity science is an approach to research, study, and perspective that makes the philosophical assumptions of the emerging worldview (EWV), these include holism, perspectival observation, mutual causation, relationship as unit of analysis, and others; see Table 1.Classical science, as practiced in the twentieth century, for the most part makes the philosophical assumptions that will be labeled here the tradi-tional worldview (TWV), which include underlying assumptions of reductionism, objective observation, linear causation, entity as unit of analysis, and others. This TWV, which has allowed people to make significant achieve-ments in many fields, is no longer serving as a reliable guide. Several
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Systematic risk management is expecting the unexpected – it is a tool which helps control risks in construction projects. Its objective is to introduce a simple, practical method of identifying, assessing, monitoring and managing risk in an informed and structured way. It provides guidance for implementing a risk control strategy that is appropriate to control construction projects at all levels. This paper will review systematic management approaches to risk. It discusses the allocation of risk and suggests that risk needs to be identified and managed early in the procurement process. In addition, a case study of a small project that was affected by difficult economic circumstances is included to demonstrate the effectiveness of systematic risk management.
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Reference to the project dimension of complexity is widespread within project management literature. However the concept of project complexity has received little detailed attention. This paper reviews the literature on project complexity relevant to project management, with emphasis towards the construction industry. The paper proposes that project complexity can be defined in terms of differentiation and interdependency and that it is managed by integration.
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A new systematic approach for the pre-construction planning of construction projects is proposed. Good planning before implementation is a critical requirement for successful delivery of any project. The uniqueness of the approach is stems from planning at the role level and focusing on the effect of the project complexity on project time and cost. The proposed approach will contribute to capturing knowledge and experience and to producing consistency and reliability in the practice of the contractors.
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Construction projects are initiated in complex and dynamic environments resulting in circumstances of high uncertainty and risk, which are compounded by demanding time constraints. This paper describes a systematic way to consider and quantify uncertainty in construction schedules. The system incorporates knowledge and experience acquired from many experts, project-specific information, decision analysis techniques, and a mathematical model to estimate the amount of risk in a construction schedule at the initiation of a project. The model provides the means for sensitivity analyses for different outcomes wherein the effect of critical and significant risk factors can be evaluated. The paper focuses on lessons learned from past projects and describes a risk assessment process involving typical inputs and expected outputs. The paper also briefly reviews the information technology of HyperCard and Excel, which were used to develop the system.
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