Next Article in Journal
Modulus of Elasticity and Compressive Strength of Tuff Masonry: Results of a Wide Set of Flat-Jack Tests
Previous Article in Journal
Perceived Control in an Office Test Cell, a Case Study
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Front End Projects Benefits Realisation from a Requirements Management Perspective—A Systematic Literature Review

by
Joas Serugga
1,*,
Mike Kagioglou
2 and
Patricia Tzortzopoulos
1
1
Art, Design and Architecture, University of Huddersfield, Huddersfield HD1 3DH, UK
2
School of Engineering, Western Sydney University, Perinth, Sydney, NSW 2751, Australia
*
Author to whom correspondence should be addressed.
Buildings 2020, 10(5), 83; https://doi.org/10.3390/buildings10050083
Submission received: 24 March 2020 / Revised: 20 April 2020 / Accepted: 21 April 2020 / Published: 28 April 2020
(This article belongs to the Section Construction Management, and Computers & Digitization)

Abstract

:
The recent notable emergence of a body of research in requirements management on one hand and benefits realisation has contributed to addressing a growing need for improved performance in Architecture, Engineering and Construction (AEC) projects. However, front end design (FED) as one of the vital processes in the project life cycle and delivery has attracted limited research to date within this understanding. This paper aims to map current evidence on requirements management in facilitating benefits realisation from an FED perspective. This is to bring about an updated and unified position on requirements management for its impact on design decision making. A systematic review of the literature covering the last ten years (2008–2018) aims first to build understanding and support identification of these emergent conceptual positions and secondly underscore essential requirements and their categorisations that impact on design discourse in FED. One hundred sixty-one peer-reviewed journal papers in the areas of benefits realisation and/or requirements management and/or FED based are identified on a pre-determined inclusion and exclusion criteria. Thirty-six requirements are identified as important in influencing use case changes important in design decision making broadly grouped into nine major categories. Following analysis, this research finds little evidence supporting an integrated requirements management practice and understanding to support design decision making. The research further finds bias in current research discourse towards four requirements categories (technical, economics, governance and environment); and 14 requirements, dominated by three strategic values, collaboration and project governance, with over 80% share of literature. The least 14 requirements such as “flow of spaces, social status/aspiration, mobility and integrated design” among others only account for less than 10% of literature. The authors argue for new research to bridge this gap, highlight the essential role of requirements management and broaden understanding to improve benefits realisation, particularly for FED processes.

1. Introduction

A significant part of project performance relates to how well projects deliver continuously on benefits in use (the perceived and derived benefits), throughout its lifecycle. As user preferences continue to become complex as a result of new and emergent contextual factors and user needs, there is an increasing need for new research into project value performance for the future [1]. At the heart of this increasing need, however, is the delivery of intended project benefits [1,2,3,4,5,6]. Projects in a benefits realisation sense need to adequately capture, define, implement and evaluate their intended benefits continuously for better project performance [4,5]. Benefits realisation, therefore, aims to harness organisational resources through planning and management in supporting change that delivers effectiveness and efficiencies in organisational processes for successful projects, programs and portfolios [5,7]. It is essential to highlight that at the heart of both benefits, realisation and requirements management is a change and control process that should support decision making. At the same time, however, increasing complexity in user preferences means that planning and management of benefits need to keep pace through continually building new understanding and evolving practice during project delivery.
At the same time, there is increasing research in requirements management as a critical driver for benefits realisation [8,9,10,11,12]. Again its argued that project requirements need to be adequately captured, defined, transformed, delivered and evaluated during project delivery [8,9,10]. Project performance, therefore, appears to depend on how well project requirements are managed throughout the project’s processes. For successful requirements management, practice dictates that stakeholders should engage through participatory and collaborative processes [13], as in benefits realisation processes. Despite this understanding, research such as Burger, White [14] and Tezel, Koskela [1] point to continuing underperformances in Architecture, Engineering and Construction (AEC) across many life cycle processes. This has been attributed in part to the insufficiency in the understanding of processes and fragmented practice on the one hand; and inadequacy in support tools on the other to support complex analysis of continually emergent and changing user needs [2].
Emergent research has also sought to demonstrate the critical role of Front End Design (FED) in contributing to broader project benefits [15,16,17]. FED is defined as the stage in the AEC project development cycle in which project processes define the project idea/purpose, scope and goals; the business case including any feasibility, funding, stakeholder, risk, benefits, value and execution planning as well as the development of any outline designs [18,19,20,21].
Therefore, as a process that espouses the early stages of project development, FED stands at the critical interface between requirements management and benefits realisation in particularly in capturing and defining changing user needs. It has, however, been argued that FED remains understudied and unstructured on the one hand [2,22] while on the other, it is information-intensive—reliant on knowledge sharing [23] and presenting the most critical opportunities for benefits co-creation [16] in a project’s lifecycle. However, a lot of downstream project underperformances can be from insufficiencies in FED processes [24]. This means that project processes in FED that are essential in ensuring delivery of early and intermediate project benefits through managing project requirements that can be optimised through a structured approach.
Current bodies of research in requirements management in FED on the one hand and benefits realisation on the other are, however, in the main discussed separately in research at present. However, a converged understanding is vital in drawing focus on the intricate complexity of project delivery that’s mainly influenced by the structure and agency (as understood in social sciences) nature of design practice. The separate research realms also continue to increase the gulf between them, yet clarity is now vital, in a converged new understanding of the essential complementary concepts in design. While a handful of recent research such as that Kagioglou and Tzortzopoulos [3] have attempted to explore the concept of structure and agency as a key conceptual understanding in benefits realisation, much more research is needed to bring this into AEC. Kagioglou and Tzortzopoulos [3] highlight ’structure’ as “action and the actors involved in both undertaking and enacting processes” while ‘agency’ is the representation of the different stages and phases in design. This places the understanding of ‘structure’ of design as the underlying basis of the ‘concepts and logic of analysis and synthesis’, a critical process in the definition and understanding of requirements in the design process [25]. Moreover, although recent research in benefits realisation and requirements management concepts represents a fresh approach to project benefits delivery, both require reformulation in the perspective of FED as an intermediate benefit delivery stage essential for the realisation of the broader project and organisational benefits.
This paper, therefore, aims to map current evidence on requirements management and benefits realisation with a focus on those factors that impact on them from the perspective of FED through a systematic literature review. The review aims to explore emergent conceptual positions by understanding how requirements are applied and categorised in FED and recast them in a new updated and unified position with a focus on supporting structured design decision making for improved benefits delivery in the dynamic and inherently contextual FED. In fulfilling this aim, the paper presents first the conceptual understanding of benefits realisation and requirements management and secondly recast these in an FED perspective. This informs the discussion on the thirty-six design requirements identified in this review in their nine categorisations.
The paper thus follows the following structure: Following on from Section 1, which introduces the concepts more generally, Section 2 explores the theoretical conceptions of benefits realisation and requirements management. In drawing this from an FED perspective, the review aims to identify gaps in research and practice that contribute to poor decision making. Section 3 presents the research methodology, including the research questions. Section 4 discusses the findings of the research, and, finally, Section 5 discusses the results, including a look at their implications for both industry and research as it concludes. The section also identifies limitations for the research highlighting future opportunity areas.

2. The Dynamics of FED

Project requirements in design are influenced by the structure and agency of design practised as understood in the social sciences. The subject of structure and agency in its influencing role for users and stakeholders in changing their individual and organisational structures and preferences; such as in innovation adoption and consensus building is a subject of intense and increasing ongoing debate in the social sciences [26,27]. In design practise, and the broader AEC project implementation [3], however, these two elements are essential to integrated project delivery (IPD). Structure in this understanding refers to the processes during design, while the collaborating stakeholders, their preferences and influences represent the agency. Requirements understanding in this study, therefore, incorporates the perspective of the influencing role of agency which means a broader understanding of project requirements from and to the individual, organisational, economics, geopolitics, sociocultural and environmental factors among others; and how these influence FED processes (structure) in contributing to benefits realisation.
Authors such as Burger, White [14], Almqvist [28] and earlier George, Bell [29] join a growing body of research to highlight the vital role of FED in the efficacy of benefits realisation in AEC projects. This body of research argues that FED is the starting point in the realisation of project benefits, offering opportunities for requirements management and optimisation. FED is thus seen as one of the critical stages in a project lifecycle [30]. According to this emergent body of knowledge, vital decisions that impact on downstream project performance are usually made in FED. Other authors such as Smyth, Lecoeuvre [31] highlight opportunities for value co-creation through stakeholder collaboration in this stage. Moreover, it is argued that costs relating to any design changes at this stage can be a fraction of those in later stages of project implementation. Fuentes and Smyth [16] highlight, however, that in terms of benefits realisation, more understanding is needed into the exact links between value co-creation and benefits realisation. It is argued in other research that continuing value underperformances in the AEC stem from limited collaboration among stakeholders, [1], optimisation and modelling of processes [2,17] and insufficiencies in the body of evidence underpinning design decision making [28] among others. This highlights, on the one hand, the inherent inadequacies in the current management of project requirements in as much as they account for contextual influences; and opportunities for their management and optimisation in FED processes on the other.
Such insufficiencies, according to Oh Eun, Naderpajouh [32] are what contributes to failures in later processes that manifest as waste. Moreover, authors such as Halttula, Haapasalo [33], and Gibson, Bingham [17] argue that there is a direct link between such wastes in downstream processes and insufficiencies in earlier FED processes as a result of ill-defined requirements; a position reinforced by later Kukulies and Schmitt [34]. This essentially suggests that a rigorous requirements management process in FED is essential in the delivery of project benefits [8]. Requirements understanding is a crucial element of the body of knowledge essential for FED; and structuring requirements management processes is therefore essential in the information flow and exchanges thereof [29]. The study by George, Bell [29] highlighted how this structure impacted on project scope definition, process, resource and risk management and planning, and fostering of collaborative environments aspects which impact on project communication and information flow. It, therefore, appears that improving the requirements management processes in FED translates into improved value delivery for the end-user [8]. This approach to improved FED also presents opportunities for the design process to uncover unknowns in the process of defining the solution in a structured way [17]; as well as to context-specific influences on designs [35] drawing to the many benefits of a structured FED. While research in this area appears on the increase, there is a gap between this body of research and the intricacy of requirements management in practice, much of which remains rational mainly and inadequate for the increasing complexity [2].

3. Research Methodology

This research adopts the systematic review approach proposed by Xiao and Watson [36] for standalone reviews to describe the state of the art in answering the research questions. In proposing their approach, the authors highlight that literature review is an essential and present feature of academic research as they link present and past research in order to form a foundation for new frontiers in the research of the specific research area, bring to light the breadth and depth of and identify gaps in present research and understanding. Literature reviews also, according to Paré, Trudel [37] are vital in evaluating the validity and quality of existing research against emergent conceptualisations as a basis of building new understanding through identifying weaknesses. Rigour in a literature review, therefore, relies on replicability, reliability and validity of any new frontier that addresses new hypotheses and theories; something that sets apart systematic literature reviews from traditional ones [36]. The collation of collective theoretical insights from existing research is key to new knowledge free from bias, chance effects and improved legitimacy of new positions [38].

3.1. Aim and Research Questions

The need for better performance of AEC has spurred interest in strategies of realisation of benefits across the AEC sector. At the same time, its increasingly recognised that the successful delivery of these benefits hinges on a structure and understanding of the requirements management process. However, this is impacted by changing user needs from various factors. While there is an emergent body of research in both areas, a lack of converged and coherent position on both conceptualisations on the one hand and limited understanding of the crucial factors influencing the practice and implementation of the two concepts in AEC on the other means new research is needed. This research seeks to bring about a converged understanding of the state of the art, which is then recast from an FED perspective. The aim is, therefore, to explore current research positions and describe the state of the art in requirements management, including factors and categorisations important for benefits realisation from an FED perspective. The review, therefore, answers the following research questions:
  • RQ1—What is the state of the art in benefits realisation and requirements management in the design of AEC projects?
  • RQ2—What potential requirements categorisations influence requirements definition in FED?
  • RQ3—How do these factors impact on benefits realisation in FED?

3.2. Search Strategy

The Xiao and Watson [36] approach to search is adopted for this research. The empirical analysis that follows is based on pre-defined search criteria and review objectives. This means defining the bounded space for search, including electronic and printed databases. The broad approach involved an initial retrieval of relevant results followed by snowballing in which other meaningful studies references form part of an additional search. This approach aims to add additional studies that would otherwise not be reflected in the original search.
The search criteria adopted the following:
  • C1—a string of keywords on benefits realisation, including “project requirement” OR “benefits realization” OR “benefits realisation planning” OR “benefits capture” OR “benefits elicitation” OR “benefits management”.
  • C2—a string relating to requirements management including “requirements management” OR “project requirement” OR “requirements engineering” OR “requirements elicitation” OR “requirements capture” OR “Design Requirements” OR “User Requirements” OR “Customer Requirements” OR “Requirements transformation”.
  • C3—a string relating to Front End Design including “front end design” OR “front end planning” OR “early-stage design” OR “conceptual design” OR “conceptual design Stage” OR “Front End”.
  • C1 and C2, C1 and C3, C2 and C3, and C1, C2 and C3.
The steps undertaken are discussed in the below section and summarised in Figure 1. The process illustrated takes a 4-step guide, including (1)—Identification: In which the research aims to establish all possible articles broadly relevant to this research study. This process searched in databases including Google Scholar, Scopus, Web of Science and EBSCOhost as the most standard databases for researchers. Issues of accessibility of journals and increased risk of duplication rendered databases such as ASCE inappropriate. The search terms (see Table 1) were limited for the years 2008–2018. (2)—Screening: in this process, the research sought to apply exclusion criteria to identify data including establishing whether the study was or not a peer-reviewed publication, published between 2008–2018, written in English and that the study was or not focused on the review concepts. (3)—Eligibility—in this stage, the research sought to apply an eligibility criterion including ascertaining that any articles included are peer-reviewed publications on the specific concepts of this research, is in English the full text is available among others. The first read through the full research articles was to support quality and eligibility evaluations. Publications in high impact peer-reviewed journals were deemed high quality and included in the review. On the contrary, presentations, conference papers from low impact factor publications were excluded notwithstanding quality conference papers of high-quality conference proceedings; and finally, (4)—Inclusion—in which the research finally included the most relevant studies, particularly those that more closely relate to the concepts and have been referenced in the reviewed articles and comply with the exclusion rules. This process was iterative and sought to explore additional relevant studies with alternative methods and examples. At all times, this stage followed a quality assessment criteria illustrated in Table 1.
Rigour and validity are a vital aspect of literature review, and, as such, this paper has sought to embed best practice in supporting these such as (1) adopting a structured research design (see Figure 1), (2) advancing independence coding of review data [39]) and (3) assessment of quality of the reviewed studies (see Table 1) as adopted by Inayat, Salim [13].
In the criteria illustrated in Table 1, an ordinal scale is used to grade the studies including establishing the level of clarity in their aims and objectives, focus and context of the specific research about the defined concepts for this research, clarity of research findings and finally grading the validity and rigour of the selected studies. This process was shared among research partners both within and outside of the study team to bring about objectivity to the research. To assist in subsequent evaluations, the papers were analysed for each of the nine categories and thirty-six factors alongside the year of publication, key concepts and research sector, geographical context, and methodology employed for the study. A summary of the important case studies highlighting the essential requirements and their categories is shown in Appendix A, while the full table of results is in Appendix B and the overall results are summarised as follows: Overall, there is a marked increase in research around the key concepts over the last decade as seen in Figure 2. Only a handful of the 161 articles appear in the years 2008 to 2014.
The full table in Appendix A and Appendix B, and the overall results are summarised as follows:
  • The majority of analysed papers were in the construction sector (81%), while 10% were in the IT sector. Other sectors including the Engineering design (4%), New Product Development (3%) and Product Service Systems Design (2%) are all summarised in the pie chart in Figure 3.
  • The study resources covered the leading journals in the areas of AEC, facilities, but also those in IT, sustainability, manufacturing and requirements engineering. Over 70% of articles were from AEC journals resources as summarised in Figure 4.
  • Half of the studies had a focus on value management, while only 3% discussed benefits realisation (see Figure 5). A quarter explored FED as a concept important in value delivery, while 22% had a focus on requirements management. These studies were not necessarily exclusive to a particular conceptualisation, meaning that while about 80% were, the rest covered more than one of these conceptualisations.

4. Results and Discussion

This study aims to advance the concept of benefits realisation in FED processes of AEC processes through building a foundational basis that supports understanding of project requirements. This understanding is essential for design processes to fully reflect the contextual dynamics of projects in fostering value generation [40]. The following sections explore some crucial aspects arising out of this study based on the results of the full summary in the table in Appendix A and Appendix B. This research’s contribution to a new converged understanding firstly highlights some current definitions of the key concepts as summarised in Table 2. These definitions are essential to underscore meanings as widely applied in practice and research.

4.1. Requirements Management and Benefits Realisation

While it can be argued that the individual concepts of benefits realisation, requirements and FED have been developing over the years, what the results indicate is that they have been doing so independently and individually with limited linkage. As a highlight, for example, the plethora of research into requirements management [43,48,49]; has been limited in its explicit adoption of benefits realisation principles [40]. Studies such as ul Musawir, Serra [40] point to potential benefits in project governance and stakeholder management two of an important array of requirements for project success. It is, however, important to highlight that such studies have been unable to cover the full spectrum of project requirements essential in project benefits delivery in FED.
Moreover, despite these and other benefits, there is limited evidence of convergence in the practice and understanding of requirements management as a critical process in benefits realisation practice [43]. At the same time, it is widely acknowledged that at the centre of a requirements management process is a change and control process (see Figure 6) in which understanding of requirements runs alongside a value management process [43]. The conceptual model consolidates the understanding of benefits realisation on the one hand and requirements management in a FED perspective informed by current conceptual positions from the papers studied.
Change control is vital in the crucial dynamics of benefits definitions, testing, modelling and tracing. This is also observed to be key to benefits realisation. The absence of a conceptualisation convergence in practice means potentially that decision making in FED lacks the full spectrum of support it needs to harness and deliver project benefits [18,50]. Its however necessary to acknowledge research positions such as those by ul Musawir, Serra [40], Elf and Malmqvist [51] and others point to potential benefits of benefits realisation as an anchor in the requirements management process. It is thus essential to recast these crucial dynamics in a FED perspective in a manner that supports further understanding of these key conceptualisations as is demonstrated in Figure 6. On the one hand, the model captures the essential elements of requirements and benefits ownership within a participatory process. This creates space for benefits and requirements to be defined while ownership ensures that they’re traceable. On the one hand are the trade-offs in decision making and testing and acceptance of the requirements and benefits as they address the project objectives on the other. Both sides work iteratively and are part of the essential planning and management in realisation of wider lifecycle project benefits. With this, requirements and benefits can be modelled and tested to again fit the project objectives. In this illustration, it is demonstrated that the key conceptualisations are essential in drawing out project lifecycle performance through integrating participatory processes where participants accept ownership during decision making and in which defined benefits can be modelled defined, modelled, traced and tested and for project lifecycle performance.
The key project requirements are summarized in Figure 7, including essential categories of economics, socio-culture, health and safety, technical considerations, project lifecycle performance, occupancy factors, geopolitics, environmental considerations and governance.
The categorisations are based on studies’ representation of requirements throughout the review. Some studies have used related or similar meanings that this table collates to support the categorisation. For example project governance [40,41,46,52], project context [31,53,54] and stakeholder management [55,56,57,58] are all requirements relating to governance and are grouped as such. Similarly, the Economic categorisation groups requirements relating to cost of construction, project costs, i.e., the project implementation costs not directly relating to construction [1,59,60]; and strategic value [40,61,62] of the project all of which impact and directly translate into economic viability requirement of a project. On the other hand, life cycle costs, energy performance materials use adaptability of design over its life or the management of the physical setting of design all impact on the environment and are grouped as such. This is supported by author considerations in such studies as Cavka, Staub-French [63], Sousa-Zomer and Cauchick-Miguel [64], Vezzoli, Ceschin [65] and Jay and Bowen [66] among others. The rest of the categorisations, including sociocultural, health and safety, technical, lifecycle performance, occupancy and geopolitics, have been developed on a similar basis. The categorisations in Figure 7 are supported by the summary in Table 3 of some of the crucial studies that capture, represent and inform this study’s taxonomy of the major requirements. All the requirements categories are considered among the thirteen selected studies ranging from construction, IT, Product-Service Systems and Engineering design that had a case study research methodology: highlighting the practical their nature. This highlights the importance of widening scope in other sectors in drawing to the understanding of the essential dynamics inf FED in different contexts and applications.
Current research has sought to provide a general understanding of practice in AEC practice such as in understanding value concepts and propositions in construction processes in regards to issues of structure and agency [72]. Thomson, Austin [72] explore the various factors that are important in drawing out project requirements such as the technical implications of collaborative processes, how lead times affect projects, functional issues in design as well as design form. The authors in their evaluative study also explore issues of environment, strategic value and economics of projects value, Economics alongside factors influencing lifecycle performance, among others. This study’s focus is on how much these elements contribute to understanding of value from a practitioner’s perspective. Similarly, the study by Cavka, Staub-French [63] through exploring BIM capabilities explores these requirements categorisations and characterisations in as much as they support processes that adequately manage owner needs in design processes. The study by Cavka, Staub-French [63] harnesses the iterative nature of design from an asset and facilities management perspective. In addition to the categorisations explored by Thomson, Austin [72], the Cavka, Staub-French [63] study looked to Health and Safety including the security and safety requirements that design processes had to take into account in consideration of owner requirements.
The evaluative study by Vezzoli, Ceschin [65] into sustainable product-service systems was important in highlighting design requirements relating to geopolitics in areas of policy and legislation. While geopolitics as an influence on design requirements and design practice, in general, is acknowledged throughout AEC practice [61,71,73]; the influence for policy/legislation on future of building spaces potentially as sustainable product services systems is none the less an essential factor in design decision making. This is not only because of the potential influence on such other factors as economic performance and sociocultural impacts of buildings among others; but also, how geopolitics impacts the overall lifecycle performance of these buildings as they continue to adapt to changing user needs.
The study by Osei–Kyei and Chan [68] drew on the requirements of occupancy alongside geopolitics, sociocultural and governance factors in Public-Private Partnership projects. The study highlights, on the one hand, the contextual element of requirements management drawing on the peculiarities of the sub-Saharan project context. The strong influence of governance in projects and geopolitics in these types of projects comes to the fore while the authors argue for actionable policy/legislation as guides, as well as the requirement for use and occupancy as communities, evolve both in their aspirations and status. This is not something identified in many research studies, particularly those in developed world project contexts where other contextual factors may be significant at play. This narrative is also highlighted by other studies such as Locatelli, Mariani [67], Mok, Shen [56] and others.
Overall, from Figure 8, the most common requirement category in the literature examined is the technical requirement (26%) that looks at such factors as Constructability of the design, legal and compliance, design form and aesthetics, collaboration among project stakeholders, project processes, how functional a design is, project lead time and specification requirements. At 23%, the economic performance of design follows with such factors as the cost of construction, project costs (Rent/Mortgage, management, contracts) and most importantly the strategic value that considers the residual economic performance of the design. Project governance, including such factors as project governance and knowledge governance, project context, and stakeholder management comes third at 18%. The environmental performance of a design is fourth at 14% and includes considerations for a design’s energy performance (sound, solar gain/loss, energy costs), physical management and landscaping, life cycle costs, materials use, and how a design adapts to changing use. These are followed by geopolitical, sociocultural (5%), health and safety (4%), lifecycle performance (3%) and lastly occupancy (2%) factors. A similar narrative is seen for occupancy category where financial status dominates (56%) over Occupancy Level & Patterns (33%) and Social Status/Aspiration (11%) all summarised in Figure 9.
It is notable that within the requirements categories, there appear some significant differences in consideration of factors impacting in the broad research base (see Figure 9). For example, while nearly half of all research is around the technical and economic factors, in the former, majority research about 80% is on strategic value while in the latter, collaboration among stakeholders is seen in over 55% of research considered followed by project processes but only with 14% of research. In the technical requirements, there is limited research for the requirements of specification of the design, legal and compliance issues, design form and aesthetics and project lead times all at 5%. This is perhaps due to trends in AEC towards collaborative processes that have often been at the expense of other requirements within practice essential for the realisation of project benefits [74]. Similarly, while construction and project costs have been considered in recent years, much of current research emphasis appears on the strategic value of projects again at the expense of these other requirements necessary for the economic performance of a design from a benefits realisation perspective. Similarly, in the influence of geopolitics, a vast majority of research covers legislation and policy (61%) as a vital influencing factor in the success of project benefits delivery while research is thin on political leadership that can be critical for many project contexts.
The sociocultural implications on design performance and benefits realisation are highlighted by authors such as Mok, Shen [56], Locatelli, Mariani [67] and Jay and Bowen [66] among others. However, while considerations for culture and community dominate current research (67%), only 2% of research explores the influencing role of mobility as a factor important in design processes. Demographics only make 17% while integrated design is 8%. This appears to suggest that research lacks a broader look particularly from a benefits realisation perspective of the essential aspects that impact on benefits perceptions while it might acknowledge some of the essential requirements factors that often draw on the contextual nature of project delivery.

4.2. Requirements Categorisations for FED

Literature highlights nine influential categorisations important for consideration in design processes. In answering the research questions, this section discusses the requirements category findings.

4.2.1. Economics

Leśniak and Zima [60] for example highlight that cost of construction may be impacted by such factors that relate indirectly to the environmental performance requirements, comfort, and quality that the design deliverers to the end-user, and those relating the lifecycle of a building impacting on such things as the cost of the choice of materials to be used. Lin, Chang [75], on the other hand, highlight the costs of those essential resources in production elements in construction such as the price of land and labour. It is notable, however, that economic performance extends to stakeholders’ economic influences that ultimately link to their derived benefit of the design. Requirements relating to the cost of construction, which will play an essential role in such things as the sale or rental price, are economic decisions. How well stakeholders perceive these moreover can depend on the general health of the economy [66]. During economic downturns, for example, different perceptions might be drawn than from economic boom times.

4.2.2. SocioCultural

The effect of culture and community as essential requirements in the realisation of project benefits has been explored widely in research [58,76,77]. Sousa-Zomer and Cauchick-Miguel [64] however explore issues of PSS in facilitating sociocultural integration in as far as facilitating mobility. Whereas the authors refer to ‘mobility’ in their study lending to movement in the shareable bicycle project, their concepts of economic empowerment do lend to mobility as understood in the social sciences in communities. Surlan, Cekic [78] in their study, highlight the importance of mobility in value in how it relates to local contexts. While these authors attempt to explore mobility as an important requirement in project benefits realisation, research is limited in the area in terms of its impact and relationship with other requirements, and similarly to the requirement of demographics. Value perception is a social construct as pointed in research [72].
Social influences on intended and perceived benefits can, therefore, in turn, be influenced by societal and cultural changes. Stakeholder requirements relating to the energy performance of a home, or how integrated the design is with its wider surroundings or any connections between internal and external spaces can be influenced by social perceptions. These elements, according to Thew and Sutcliffe [76] can be influenced by such things as individual emotions, society values and collective people’s feelings about a design’s benefits. Similarly, society views differently demographical changes. Differences in stakeholder interests sometimes mean that there are differing perceptions about which requirements are important and therefore of precedence. Understanding such intricate details in design decision making can be crucial in facilitating better delivery of project benefits [18].

4.2.3. Health and Safety

From site security and safety to hygienic design in healthcare facilities all through to acoustic compliance in individual built facilities, there is growing universal acceptance of health and safety as a requirement for compliance. Designing for hygiene can, for example, be a strict requirement for healthcare facilities [79]. Security is essential for times when sites as well as other facilities may or may not be in use [80]. Meanwhile, Malekitabar, Ardeshir [81] report that design processes have a role to play in combating site safety risks. There, however, appears to be contextual differences dependent on sociocultural, geopolitical, technological economic factors or otherwise in the perception of health and safety requirement factors. What stakeholders perceive as a safety benefit may differ from another group. Acoustic expectations as a requirement will not only differ depending on location or surroundings. Still, they may also be perceived differently as to how much they contribute to one’s derived benefit. While critical for some designs, the flow or interconnection of spaces within the design may have a bearing on the hygienic requirement of a space or indeed how secure it is from physical or nonphysical security threats. This again is something that will likely not only differ in context but also perceived differently between and among different end-users.

4.2.4. Technical

Issues of constructability, design form, functional performance, collaboration and project processes are identified throughout this review as essential requirements for benefits realisation from a technical perspective [63,72]. Constructability for example that lends to the efficiency of processes in using up resources is interdependent with other technical requirements such project lead times, design form and functional performance or legal and compliance among others [82]. This literature review finds consistency in the position that traditional AEC practice and therefore, requirements management has been biased towards technical requirements in the definition and perceived benefits with over a quarter of articles focussed on this. Despite this bias, the technical requirements of design still influence much of what contributes to end-user perceived and derived benefits; although this appears to be at the expense of other requirements something that may obscure full understanding of the various complex interdependencies essential for full benefits realisation.
Similarly, although technical requirements have been dominant, collaboration has been the main emphasis of research in this requirements category with over half of the reviewed articles within it. There needs, therefore to be a broadening of consideration for such other technical factors as symbolism (design form) or functional design performance among others. The dominance of research into collaborative processes might also indicate biases into the sometimes apparent top-down AEC design practices meaning that technical teams have a propensity towards a prescriptive approach to design particularly when it comes to requirements management and how these are transformed into design requirements. Technical teams appear in practice to, for example, have control of how constructible a design is; defining such things as design decisions on form, materials and other specifications they adopt for design. Technology in construction is also increasingly influencing not only the course but the nature of project processes and ultimately design decision making as to the benefits delivery process; but also remains technically exclusive.
Similarly, how the design performs on compliance or aesthetics will influence benefit perceptions from end-users, but again these requirements are in the main controlled by technical stakeholders. Although demonstrably crucial in practice for its importance in such processes as modelling, [83]; there are limited studies on specification as a technical requirement for its interdependency with other requirements with only 3% of literature in this category devoted to it. As demonstrated by Pignataro, Lobaccaro [83], specifications can be a vital driver in harnessing wider benefits in projects.

4.2.5. Lifecycle Performance

During the benefits realisation cycle, stakeholders often find need where their spaces have to be serviced or maintained. This review identifies increasing interest in lifecycle performance of processes such for serviceability, accessibility [84,85] and maintainability [86]. In particular, there are opportunities in integrated processes and standardisation [85], Sustainable and continuing performance in product-service systems [84], data security in the IT [48] all issues making lifecycle performance an important requirement category during design decision making.
Maintainability of spaces is an increasing factor impacting on derived and perceived user and stakeholder benefits. This can mean issues relating to accessibility to the space or part of it to be maintained and how site planning facilitates this, for example. All these will ultimately translate into costs, be it for replacement or new changes. Design decision making relating to the use of technologies, materials, systems, among others, can play a significant role in influencing benefit delivery based on maintainability. Although lifecycle performance in these areas is widely accepted and acknowledged, there is a lack of clarity in the review as to exactly how this impacts on perceived benefits. Moreover, there is a growing acceptance that this understanding of lifecycle performance now needs to extend to the benefits of knowledge generation and sharing; such as in information interoperability, and usability across the project lifecycle [63].

4.2.6. Occupancy

Rodrigues and Freire [87] report on how low occupancy is taken into account when planning retrofits for lifecycle performance. In this review, it is evident that this is a requirements category that is explored least among all nine categories. Chiu, Lowe [88], however, report on opportunities for innovation and knowledge when occupancy is considered carefully as an essential requirement in design. Williams, Bouchlaghem [89], on the other hand, explores these opportunities in terms of collaborative processes that link many stakeholders in a manner that fosters and understands occupancy and its challenges.
Meanwhile, Hsueh, Lee [80] study the dangers of disused public buildings as a result of insufficient occupancy planning, particularly in design leading to insecurity. Changing consumer trends into experiential consumerism are now filtering through into AEC. This means that it is now just as much crucial that spaces meet the changing needs of occupants. Occupants’ needs change over time include a change in levels or patterns—which may mean new additions or children moving out for a family home or company premises; income and status changes be it through new or lost opportunities and social status/aspiration to match these and other changing circumstances such environmental concerns. All these factors influence how stakeholders perceive and derive benefits concerning how a given space continually evolves to continue to meet changing family circumstances. The proliferation of garden cities is an example when occupancy factors were a significant consideration for design and benefits management processes.

4.2.7. Geopolitics

The influence of geopolitics in terms of political leadership has been highlighted by authors such as in how it influences decision making to impact on project value [31], how it influences contexts [76], its impact on contractual relationships in AEC processes [68] or rather how it can negatively impact on wider benefits [73] among others. Weaknesses in policy and legislation on the other are cited by Locatelli, Mariani [67] as a basis for proliferating corrupt project contexts. As a result, a lot of construction policy is now at the forefront of many local authorities and national political discussions be it in Europe or South America. Growing populations and changing family lifestyles are creating acute contextual needs, such as for affordable social housing or major infrastructure [68]. Geopolitical factors are, therefore, increasingly influencing benefit perceptions on the one hand and benefits management processes on the other; be it through prescriptive legislation and compliance regimes or merely changing policy from one position to another.

4.2.8. Environment

The increasing focus on the environmental performance of designs now extends to such vital aspects as requirements for adaptability [90,91]. Buildings often now require refurbishment, including bringing any upgrades to say the aesthetic and functional performance of a building [90]. The buildings may also come under the need for rehabilitation or some modernisation sometimes with some extension work or indeed any retrofit. This is similar to increasing need for designs to reflect on materials use [62]; and lifecycle costs [92,93]; as well as issues relating to the physical management of the immediate building’s environment as well its wider one [73].
These requirements are being forced through by the increasing awareness of the world around which has ignited a new demand from AEC towards environmentally friendly practices. How environmentally friendly a design is now and in the future is likely to influence benefits perceptions and delivery. This means focusing on design areas such as energy performance, physical management, materials use, lifecycle costs and adaptability of design. This also extends to such simple considerations for design specification as to the appropriate glazing design that addresses seasonal changes in solar gain/loss, environmentally friendly materials and adaptability of designs in the face of increasing need for environmental performance.

4.2.9. Governance

Locatelli, Mariani [67] and Wolter and Meinel [94] are among a growing number of authors to explore the essential dynamics of project governance, stakeholder management and project contexts. Of particular notice is the limited research coverage of project context among them that can, however, be a vital requirement for the delivery of contextual project benefits. Carrizo, Dieste [95], for example, observe that the effectiveness of the requirements elicitation process is dependent on the context—basically the structure of the project context. Chakraborty [73] draws on the utilitarian biases among Japanese policymakers in the continuing proliferation of dam project despite their impact on the environment. On the other hand, however, van de Kar and Den Hengst [96] draw on the importance of participatory and collaborative processes in drawing out any of these essential contextual nuances that may be critical to benefits perceptions.
Additionally and while acknowledging challenges that may come with wider stakeholder involvement, Knauss, Yussuf [97] point to opportunities for innovation and stakeholder association and ownership of any benefits. This shared stakeholder understanding that is important in helping meet today’s diverse project stakeholder expectations is what has been referred to as value co-creation [98].
From a benefits realisation perspective, project governance is central to the delivery of intended benefits through advocacy for organisational change as a critical element to the successful delivery of projects. Increasingly, literature is adding to the knowledge that project governance does impact the success of projects. As a result, how projects are governed, and knowledge is shared and governed play an essential role for stakeholders in the perception of benefits be it through collaborative and integrated design practice or otherwise. Research needs to move, however, to explore the intricacies of governance requirements and draw out their clear implications on projects’ benefits.

5. Conclusions

In exploring the state of the art in requirements management and benefits realisation, the review reveals a gap in research in bridging the two concepts; and as a result, highlights several potential areas for new knowledge from the results. Firstly, it is seen that benefits realisation as a concept is receiving limited focus in research, yet its practices and concepts can be key to project success. It creates a bridge between many requirements in terms of their categorisations and understanding including that relating to the emerging concepts of knowledge governance, user benefits relating to individual and broader socio-cultural, economic and geopolitical societal goals among others. Moreover, exploration of benefits realisation concept at intermediate benefits level (see [99]; merits further understanding something that would contribute to the role of FED in generating wider project benefits. These positions alone can contribute to new understanding among project delivery practice in anchoring organisational goals to user benefits and building understanding going forwards in the project lifecycle as to how these benefits are continually being realised.
Secondly, this research has highlighted a gap in understanding and practice of requirements management, particularly in an FED perspective with limited new research to support broader adoption and understanding of the various essential project requirements. Although the understanding of requirements management as an essential link to the delivery of benefits, particularly in FED processes that continue to evolve, it is doing so disjointedly and even less for some requirements understanding. Some requirements such as strategic value and collaboration and project governance have received a great deal of attention in research though this has been at the expense of others in terms of their conceptual understanding.
Regarding requirements categorisations, they are an important element in defining project requirements and potentially a basis for understanding interdependences among them. However, more understanding of this influencing role is needed. For example, technical, economics, governance and environmental requirements categorisations have understandably dominated current bodies of research. This again has been at the expense of such other categorisations such as occupancy whose constituent requirements such as occupancy levels and patterns appear central to today’s design decision making particularly with the increasing adaptability expectation from designs. Globalisations means that millions around the world are delivered from poverty to middle or working class and therefore places emphasis on the understanding of such requirements as mobility, social or financial status and aspirations of many project stakeholders.
Thirdly, the change and control model presented in this review reveals potential interfaces between requirements management and benefits realisation. There are demonstrable and notable overlaps in the separate bodies of research, but these remain thin and mostly peripheral to the main findings in this research. In practice, this means a potential new understanding of the influencing role of requirements on benefits realisation. The authors have sought to bring out this understanding and bridge these various gaps in drawing out any convergences in an attempt to harness any overlaps. This effort has been to map the main factors across a range of bodies of research and attempting to recast these in the perspective of FED processes in nine main categories. More understanding is, however, needed to draw out any impact of requirements dynamics and interdependences on benefits realisation, particularly in the dynamic FED stages of projects.
This systematic literature review while making an essential contribution to new understanding of requirements management as a vital driver for benefits delivery in FED, therefore, acknowledges new potential research paths as follows:
  • The research has drawn to nine specific focus factors as broad categorisations for not only faster identification but also for contextual modelling. This categorisation nonetheless should in no way constrain any emergent categorisations following the evolution of discussion. This means any future emergent positions contributing to these categorisations are welcome.
  • Similarly, the 33 factors identified within these broad categorisations serve as no constraint to any future broadening or reconfiguration in any order but instead merely serve as a basis for new understanding and discussion. It is accepted that different research positions and modelling may undoubtedly reconfigure the factors in ways best suitable for them and therefore herein should again serve merely as a basis for further discussion. Moreover, it is vital to highlight the importance of any project or process-specific interdependencies between these factors that can be vital to the realisation of the specific project benefits that this research has not attempted to discern. This represents a future area of significant and active research to draw on the context-specific nature of intermediate and broader project benefits, particularly during FED.
  • The study has laboured to draw the vital link between benefits realisation in the perspective of requirements management in FED. It is noticeable that some focus factors such as environmental performance and governance, among others on the one hand; and factors such as collaboration, strategic value and constructability are widely discussed in the literature. However, there appears a limited discussion on their crucial link and contribution to intermediate and wider project benefits realisation. For example, collaboration, strategic value and stakeholder management represent a vital link for requirements management and benefits realisation, but this has to be to recast in an FED perspective. Limited research, however, appears to do this. Moreover, there is no evidence at all that other important factors in benefits perceptions such as family and social and geopolitics are considered within the separate discussions of the key conceptualisations, and certainly not in a unified position. New research understanding is needed in the perspective of FED to help explicate these essential parameters.
  • Finally, benefits realisation relies on derived benefits being measurable of benefits along the process of use. However, there has not been any research into any quantitative approaches to support quantitative processes in the practice of benefits realisation. For example, current design discourse uses explanatory and rational approaches to draw on any interdependencies among design factors, something that may be inadequate for the increasingly complex design environment. New quantitative modelling approaches are needed to cope with this increasing complexity to better reflect and capture the essential interdependencies in informing design decision making. New research is, for example, needed into modelling the complex dynamics in user needs changes during and after design, so projects can stay relevant and in step with user needs continually.
This study has sought to explore the state of the art of FED research and practice regarding the key conceptualisations of benefits realisation and requirements management. In contributing to this body of research and in highlighting gaps in current understanding, this research acknowledges and accepts some limitations borne upon it. First is the limitation relating to the pool of literature on the one hand and or the extensive keywords in various bodies of knowledge used in drawing to the results. Many other databases undoubtedly have explored these interesting concepts in various forums and languages though these have been excluded for analysis while others that may not have been available at the point of analysis may since have. Exclusion also extended to conference articles something that does not in any way imply that concepts covered in there are unworthy for consideration in this research. The results, therefore, are devoid of this excluded body of research. Despite these and other inadvertent limitations, it is the position of this research that it draws new understanding in attempting to unify the key conceptualisations and hence form a basis for new knowledge and discussion for practice and research engaged in FED processes and benefits realisation.

Author Contributions

Conceptualization, J.S., M.K.; methodology, software J.S.; validation, J.S., M.K. and P.T.; formal analysis, J.S.; resources, M.K.; data curation, J.S.; writing—original draft preparation, J.S., M.K.; writing—review and editing, J.S., M.K.; visualization, J.S.; supervision, M.K., P.T.; project administration, M.K., P.T.; All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

Table A1. Selection of Case Studies in Construction.
Table A1. Selection of Case Studies in Construction.
AuthorFactorsRequirements CategoryStudy Brief
Boton [100]constructability, collaborationTechnical
Śladowski [101]Stakeholder Management, Project GovernanceGovernanceA study to identify key the means of production employed to measure of performance of projects modelled using a metanetwork; using a modified performance measure for the purposes of identifying key agents, knowledge and resources of a planned project
Hu [102]Adaptability, Strategic Value, Project ContextEnvironment, Economics, Governancedynamic life cycle assessment (LCA) framework that includes temporal and users’ value choice factors
Volk, Luu [103]SpecificationTechnicalDevelopment of a system for building information acquisition, 3D reconstruction, object detection, building inventory generation and optimized project planning
Smyth, Lecoeuvre [31]Project Governance, Strategic value, Political Leadership, Policy, CultureGovernance, Economics, Geopolitics, SocioculturalA study on the application of benefits realisation concepts to the Hinckley Point C Nuclear Station in the U.K.
Brioso, Humero [104]Strategic Value, PolicyEconomics, Geopoliticsa value-generation framework for municipalities through the adaptation of the Lean Project Delivery System
Pal, Takano [105]Energy PerformanceEnvironmentalA study into life cycle simulation-based optimization of buildings with a focus on the operational carbon footprint (OCF) and embodied carbon footprint (ECF)
Shen, Tang [106]Life Cycle Costs, Collaboration, Compliance, Environment, TechnicalAn investigation into the critical success factors of Green Buildings and their relationships with GB certification
Roux, Schalbart [107]Life cycle costs, Energy Performance, Strategic ValueEnvironment, EconomicsEvaluating life cycle impacts of buildings, integrating climate change and evolution of the energy mix on the long term
Kemp and Scholl [108]Community, PolicySocial, GeopoliticsA study into the role of urban experiments for local planning processes through a case-based analysis of the city lab of Maastricht
Samset and Volden [46]Project Context, Governance, Stakeholder management, Political LeadershipGovernance, Technical, GeopoliticsA study of front-end management and governance of major public investment projects in Norway
Buyle, Audenaert [70]Construction Costs, Project Costs, Strategic Value, Energy Performance, Life Cycle costs, Policy, Project ContextEnvironment, Economics, Geopolitics, GovernanceAn investigation into scenarios to improve the environmental profile of new buildings in the Flemish/Belgian context
Russell-Smith and Lepech [92]collaboration, Life cycle costs, Stakeholder Management, Project CostsTechnical, Environment, Governance, Economicsa method to measure and manage the cradle-to-gate life cycle environmental impacts by linking environmental targets with modern construction management methods, to enable buildings to meet sustainable target values (STV)
Shackleton, Hebinck [71]Strategic Value, Community, Policy, Political Leadership, Collaboration, Project GovernanceTechnical, Governance, Economics, GeopoliticsA study into policy initiatives for urban forestry and greening including the maintenance, use and appreciation of trees on private homesteads of residents of new and older low-income suburbs as well as informal housing areas
Pignataro, Lobaccaro [83]Functional Design, Specification, AccessibilityTechnical, Life Cycle PerformanceSustainable Design
Shen, Zhang [109]Acoustics, Collaboration, Life Cycle Costs, ServiceabilityHealth and Safety, technical, Life Cycle PerformanceAn Evaluation of User Pre-Occupancy to enhance the designer–client communication by applying building information modelling, user activity simulation, and requirement management techniques
Lin [110]Strategic ValueEconomicsA study into tracking and management of interface events by using Network-based Interface Maps (NBIM)
Himpe, Trappers [93]Energy Performance, Life Cycle Costs, ServiceabilityEnvironmental, Life Cycle PerformanceExamining the life cycle Energy Performance of a Belgian zero-energy reference house
Lu and Hao [111]Collaboration, Project ContextTechnical, Governance
Rezgui, Beach [112]Stakeholder Management, ComplianceGovernance, Technicala governance approach for managing multi-actor, multi-discipline, and total lifecycle data,
Ghosh, Amaya [42]Project Governance, Collaboration, Strategic ValueGovernance, EconomicsA study to identify problem areas of knowledge creation and management and how these can be aligned to corporate and project objectives
Abduh, Soemardi [113]Strategic Value, Project ContextEconomics, GovernanceInvestigating the cost structure of construction supply chains in Indonesia and factors that could influence it
Liu, Hsueh [114]Energy PerformanceEnvironmentalDecision making
Chakraborty [73]Political Leadership, Project Context, Strategic Value, Physical PerformanceGeopolitics, Economics, EnvironmentA Study into the 1997 River Law, examining some most contentious river valley projects, and concludes that a myth of vulnerability to flooding, short-sightedness of river engineers, and bureaucratic inertia combine to place basin governance in a time warp
Gasafi and Weil [115]Project ProcessesTechnical
Chandra and Loosemore [116]Collaboration, Project GovernanceTechnical, Governance
Singh, Gu [117]constructability, collaborationGovernance, Technical
Yeung, Chan [118]collaboration, strategic valueTechnical, EconomicsA study into Partnering Performance for seven weighted Key Performance Indicators (KPIs), to support to measurement, monitoring, improvement, and benchmarking of the partnering performance of construction projects

Appendix B

Table A2. Reviewed Studies by year, methodology, sector and requirements factors identified.
Table A2. Reviewed Studies by year, methodology, sector and requirements factors identified.
AuthorMethodologySectorF1F2F3F4F5F6F7F8F9F10F11F12F13F14F15F16F17F18F19F20F21F22F23F24F25F26F27F28F29F30F31F32F33F34F35F36
Leśniak and Zima [60]Evaluative StudyConstruction
Tezel, Koskela [1]Qualitative Survey StudyConstruction
Hwang, Shan [119]Qualitative Survey StudyConstruction
Callegari, Szklo [61]Evaluative StudyConstruction
Kruger, Caiado [98]Qualitative Survey StudyProduct Service Systems
Boton [100]Case StudyConstruction
Knauss, Yussuf [97]Qualitative Survey StudyIT
Hujainah, Bakar [120]Literature ReviewIT
Śladowski [101]Case StudyConstruction
Jansson, Viklund [121]Qualitative Survey StudyConstruction
Smyth, Lecoeuvre [31]Case Study (Interpretive)Construction
Chesbrough, Lettl [122]Evaluative StudyNew Product Development
Chalhoub and Ayer [123]Evaluative StudyConstruction
Sindhu, Choi [124]Qualitative Documentary StudyConstruction
Du, Wu [125]Evaluative StudyConstruction
Du, Wu [126]Literature ReviewConstruction
Choi, Leite [127]Evaluative StudyConstruction
Garcia-Ceballos, de Andres-Díaz [62]Evaluative StudyConstruction
Hu [102]Case StudyConstruction
Wang, Zhang [91]Evaluative StudyConstruction
Liao, Liao [128]Evaluative StudyConstruction
Volk, Luu [103]Case StudyConstruction
Eleftheriadis, Duffour [129]Evaluative StudyConstruction
Thew and Sutcliffe [76]Evaluative StudyIT
Han, Li [130]Exploratory Case StudyEngineering Design
Müller, Ludwig [48]Evaluative StudyIT
ul Musawir, Serra [40]Qualitative Survey StudyConstruction
Pegoraro and Paula [47]Systematic Literature ReviewConstruction
Rodrigues and Freire [87]Evaluative StudyConstruction
Carrizo, Dieste [95]Evaluative StudyIT
Abeywickrama and Ovaska [131]Literature ReviewIT
Goh and Loosemore [132]Qualitative Survey StudyConstruction
Koh [133]Evaluative StudyConstruction
Papadonikolaki, Verbraeck [134]mixed method approach plus caste studyConstruction
Akcay, Dikmen [135] Construction
Sinesilassie, Tabish [136]Qualitative Survey StudyConstruction
Locatelli, Mariani [67]Evaluative Case StudyConstruction
Lin, Zeng [137]Qualitative Survey StudyConstruction
Cavka, Staub-French [63]Qualitative Survey StudyConstruction
Sleiman, Hempel [138]Evaluative StudyConstruction
Cardenas, Voordijk [139]Evaluative StudyConstruction
Wiese, Ré [140]Evaluative StudyIT
Hastie, Sutrisna [141]Case Study, SurveyConstruction
Sanderson and Winch [142]Evaluative StudyConstruction
Mok, Shen [56]Case StudyConstruction
Samset [143]Literature ReviewConstruction
Eckart, McPhee [144]Literature ReviewConstruction
Saoud, Omran [145]Case Study, SurveyConstruction
Clarke, Gleeson [146]Evaluative StudyConstruction
Oraee, Hosseini [147]Systematic Literature ReviewConstruction
Vernet and Coste [77]Evaluative StudyConstruction
Buchmann and Karagiannis [148]Evaluative StudyIT
Shin, Jeong [149]Evaluative StudyConstruction
Revellino and Mouritsen [150]Evaluative StudyConstruction
Rowlinson [151]Literature ReviewConstruction
Pal, Takano [105]Case StudyConstruction
Sousa-Zomer and Miguel [84]Qualitative Documentary StudyProduct Service Systems
Heikkilä, Paasivaara [152]Qualitative Survey StudyIT
Galle, De Temmerman [153]Evaluative StudyConstruction
Shen, Tang [106]Case StudyConstruction
Brioso, Humero [104]Action ResearchConstruction
Dias, Chandratilake [154] Construction
Kpamma, Adjei-Kumi [155]Evaluative StudyConstruction
Hollberg and Ruth [156]Quantitative Model analysisConstruction
del Caño, Pilar de la Cruz [157]Evaluative StudyConstruction
Haddadi, Johansen [158]Literature ReviewConstruction
Davies and Brady [159]Evaluative StudyConstruction
Immonen, Ovaska [160]Evaluative StudyIT
Nielsen, Jensen [161]Evaluative StudyConstruction
Jussila, Mainela [162]Case StudyConstruction
Dave, Kubler [163]Design Science ResearchConstruction
Roux, Schalbart [107]Case StudyConstruction
Delmastro, Mutani [164]Evaluative StudyConstruction
Kemp and Scholl [108]Case StudyConstruction
Addison, Campbell Jenkins [165]Case StudyHealth
Bacciotti, Borgianni [166]Qualitative Documentary StudyNew Product Development
Malekitabar, Ardeshir [81]Qualitative Documentary StudyConstruction
Wei, Liu [167]Evaluative StudyConstruction
Palm and Reindl [69]Evaluative StudyConstruction
Samset and Volden [46]Case StudyConstruction
Ferreira, Almeida [168]Evaluative StudyConstruction
Surlan, Cekic [78]Qualitative Survey StudyConstruction
Müller, Zhai [169]Qualitative Survey StudyConstruction
Dias, Cabral [170]Case StudyEngineering Design
Osei–Kyei and Chan [68]Evaluative StudyConstruction
Bayram, Ocal [171]Evaluative StudyConstruction
Ledoux, Teissandier [172]Evaluative StudyEngineering Design
Hoła, Sawicki [173]Evaluative StudyConstruction
Vezzoli, Ceschin [65]Evaluative StudyProduct Service Systems
Plewa, Sweeney [174]Evaluative StudyNew Product Development
Lung, Balasubramaniam [175]Case StudyIT
Dagan and Isaac [176]Action ResearchConstruction
Koh, Förg [177]Case StudyEngineering Design
Li, Arditi [178]Literature ReviewConstruction
Inayat, Salim [13]Case StudyIT
Buyle, Audenaert [70]Case StudyConstruction
Singhaputtangkul and Low [179]Case StudyConstruction
Almeida, Sousa [85]Evaluative StudyConstruction
Russell-Smith and Lepech [92]Case StudyConstruction
Serra and Kunc [99]SurveyIT
Jung, Moon [180]Evaluative StudyConstruction
Lu, Wang [181]Literature ReviewConstruction
Shackleton, Hebinck [71]Case StudyConstruction
Too and Weaver [182]Literature ReviewConstruction
Locatelli, Mancini [52]Literature ReviewConstruction
Tserng, Ho [183]Action ResearchConstruction
Kw Wong, Kumaraswamy [184]Case StudyConstruction
Chiu, Lowe [88]Evaluative StudyConstruction
Pignataro, Lobaccaro [83]Case StudyConstruction
Shaikh, Nor [185]Literature ReviewConstruction
Pemsel, Wiewiora [41]Literature ReviewConstruction
De Schepper, Dooms [186]Comparative Case StudyConstruction
Shackleton, Hebinck [71]Case StudyConstruction
Thomson, Austin [72]Evaluative StudyConstruction
Himpe, Trappers [93]Case StudyConstruction
Hellström, Ruuska [187]Exploratory Case StudyConstruction
Lu and Hao [111]Case StudyConstruction
Im, Montoya [188]Qualitative Survey StudyNew Product Development
Hsueh, Lee [80]Evaluative StudyConstruction
Williams, Bouchlaghem [89]Literature ReviewConstruction
Rezgui, Beach [112]Case StudyConstruction
Lin [110]Action ResearchConstruction
Shen, Zhang [109]Case StudyConstruction
Ghosh, Amaya [42]Case StudyConstruction
Belkadi, Dremont [189]Evaluative StudyEngineering Design
Sanderson [190]Literature ReviewConstruction
Liu, Hsueh [114]Case Study Construction
Tang, Shen [191]Literature ReviewConstruction
Elf, Svedbo Engström [79]Evaluative StudyConstruction
Abduh, Soemardi [113]Case StudyConstruction
Chakraborty [73]Case StudyConstruction
Cavieres, Gentry [49]Quantitative Model analysisConstruction
Hopfe and Hensen [192]Evaluative StudyConstruction
Gasafi and Weil [115]Case StudyConstruction
Jay and Bowen [66]Qualitative Survey StudyConstruction
Yang, Shen [193] Construction
Lin, Chang [75]Evaluative StudyConstruction
Leckner and Zmeureanu [194]Evaluative StudyConstruction
Chandra and Loosemore [116]Case StudyConstruction
Singh, Gu [117]Case Study, InterviewsConstruction
Baalousha and Çelik [195]Evaluative StudyConstruction
Wolter and Meinel [94]Evaluative StudyIT
Adeyeye, Bouchlaghem [90]Evaluative StudyConstruction
Gu and London [196]Qualitative Evaluative ResearchConstruction
Almeida, Sousa [197]Evaluative StudyConstruction
Razavi and Haas [198]Evaluative StudyConstruction
Luo, Shen [45]Evaluative StudyConstruction
Chen, Okudan [82]Literature ReviewConstruction
Romani, Lahoz [86]Evaluative StudyIT
van de Kar and Den Hengst [96])Qualitative Survey StudyIT
Chung, Kumaraswamy [199]Literature ReviewConstruction
Yeung, Chan [118]Case StudyConstruction
Elf and Malmqvist [51]Evaluative StudyConstruction
Jallow, Demian [43]Qualitative Survey StudyConstruction
Ross, Rhodes [200]Evaluative StudyConstruction
Yu, Shen [201]Qualitative Survey StudyConstruction
Baxter, Gao [12]Case StudyEngineering Design
Moodley, Smith [58]Evaluative StudyConstruction
George, Bell [29]Qualitative Survey StudyConstruction
Agouridas, McKay [202]Case Study/Action researchNew Product Development

References

  1. Tezel, A.; Koskela, L.; Aziz, Z. Current condition and future directions for lean construction in highways projects: A small and medium-sized enterprises (SMEs) perspective. Int. J. Proj. Manag. 2018, 36, 267–286. [Google Scholar] [CrossRef]
  2. Serugga, J.; Kagioglou, M.; Tzortzopoulos, P. A predictive method for benefits realisation through modelling uncertainty in front end design. In Proceedings of the 27th Annual Conference of the International Group for Lean Construction (IGLC), Dublin, Ireland, 3–5 July 2019. [Google Scholar]
  3. Kagioglou, M.; Tzortzopoulos, P. Benefits realisation: An investigation of structure and agency. In Proceedings of the 24th Annual Conference of the International Group for Lean Construction, Boston, MA, USA, 20–22 July 2016; pp. 183–192. [Google Scholar]
  4. Doherty, N.F. Re-Envisioning the Role of Benefits Realisation in A World Dominated by Robots; Institute of Electrical and Electronics Engineers (IEEE): Grenoble, France, 2016; pp. 1–6. [Google Scholar]
  5. Bradley, G. Benefit Realisation Management: A Practical Guide to Achieving Benefits through Change; Routledge: New York, NY, USA, 2016. [Google Scholar]
  6. Yates, K.; Sapountzis, S.; Lou, E.C.W.; Kagioglou, M. Bereal: Tools and Methods for Implementing Benefits Realisation and Management. In Proceedings of the 5th Nordic Conference on Construction Economics and Organisation, Reykjavík, Iceland, 10–12 June 2009. [Google Scholar]
  7. Walters, L.E.M.; Scott, R.E.; Mars, M. Exploration of benefits realisation management for teledermatology scale-up framework development and sustainable scaling. Inform. Med. Unlocked 2019, 15, 100160. [Google Scholar] [CrossRef]
  8. Dick, J.; Hull, E.; Jackson, K. Requirements Engineering; Springer: New York, NY, USA, 2017. [Google Scholar]
  9. Laplante, P.A. Requirements Engineering for Software and Systems; Auerbach Publications: New York, NY, USA, 2017. [Google Scholar]
  10. Bae, B.-Y.; Kim, S.; Lee, J.-W.; Van Nguyen, N.; Chung, B.-C. Process of establishing design requirements and selecting alternative configurations for conceptual design of a VLA. Chin. J. Aeronaut. 2017, 30, 738–751. [Google Scholar] [CrossRef]
  11. Shieh, J.-I.; Wu, H.-H. Applying a hidden Markov chain model in quality function deployment to analyze dynamic customer requirements. Qual. Quant. 2008, 43, 635–644. [Google Scholar] [CrossRef]
  12. Baxter, D.; Gao, J.; Case, K.; Harding, J.; Young, B.; Cochrane, S.; Dani, S. A framework to integrate design knowledge reuse and requirements management in engineering design. Robot. Comput. Manuf. 2008, 24, 585–593. [Google Scholar] [CrossRef] [Green Version]
  13. Inayat, I.; Salim, S.S.; Marczak, S.; Daneva, M.; Shamshirband, S. A systematic literature review on agile requirements engineering practices and challenges. Comput. Hum. Behav. 2015, 51, 915–929. [Google Scholar] [CrossRef]
  14. Burger, K.; White, L.; Yearworth, M. Understanding front-end project workshops with Social Practice Theory. Int. J. Proj. Manag. 2019, 37, 161–175. [Google Scholar] [CrossRef]
  15. Elzomor, M.; Burke, R.D.; Parrish, K.; Gibson, G.E.; Gibson, G.E. Front-end planning for large and small infrastructure projects: Comparison of project definition rating index tools. J. Manag. Eng. 2018, 34, 04018022. [Google Scholar] [CrossRef]
  16. Fuentes, M.; Smyth, H. Value co-creation at the front-end of project management: A service-dominant logic perspective. In Proceedings of the 32nd Annual ARCOM Conference; Chan, P., Neilson, C., Eds.; Association of Researchers in Construction Management: Manchester, UK, 2016. [Google Scholar]
  17. Gibson, G.E., Jr.; Bingham, E.; Stogner, C.R. Front end planning for infrastructure projects. In Construction Research Congress 2010: Innovation for Reshaping Construction Practice; ASCE: Banff, AB, Canada, 2010; pp. 1125–1135. [Google Scholar]
  18. Serugga, J.; Kagioglou, M.; Tzortzopoulos, P. Value generation in front-end design of social housing with qfd and multiattribute utility theory. J. Constr. Eng. Manag. 2020, 146, 04020019. [Google Scholar] [CrossRef] [Green Version]
  19. Ost Scherer, J.; Kloeckner, A.P.; Ribeiro, J.L.D.; Pezzotta, G.; Pirola, F. Product-Service System (PSS) design: Using design thinking and business analytics to improve PSS design. Procedia CIRP 2016, 47, 341–346. [Google Scholar] [CrossRef] [Green Version]
  20. Sinclair, D. RIBA Plan of Work 2013 Overview; Royal Institute of British Architects: London, UK, 2013. [Google Scholar]
  21. Lawson, B. How Designers Think: The Design Process Demystified; Architectural Press: London, UK, 2005. [Google Scholar]
  22. Gibson, G.E., Jr.; Bosfield, R. Common barriers to effective front-end planning of capital projects. In Construction Research Congress 2012: Construction Challenges in a Flat World; ASCE: Denver, CO, USA, 2012; pp. 2459–2468. [Google Scholar] [CrossRef]
  23. Macmillan, S.; Steele, J.; Austin, S.; Kirby, P.; Spence, R. Development and verification of a generic framework for conceptual design. Des. Stud. 2001, 22, 169–191. [Google Scholar] [CrossRef] [Green Version]
  24. Blacud, N.A.; Bogus, S.M.; Diekmann, J.; Molenaar, K.R. Sensitivity of construction activities under design uncertainty. J. Constr. Eng. Manag. 2009, 135, 199–206. [Google Scholar] [CrossRef]
  25. Codinhoto, R.; Koskela, L.; Tzortzopoulos, P.; Kagioglou, M. How analysis and synthesis have been understood in design. In Proceedings of the 14th Annual Conference of the International Group for Lean Construction, Santiago, Chile, 1 January 2006; pp. 121–134. [Google Scholar]
  26. Laurian, L.; Walker, M.; Crawford, J. Implementing environmental sustainability in local government: The impacts of framing, agency culture, and structure in US cities and counties. Int. J. Public Adm. 2016, 40, 1–15. [Google Scholar] [CrossRef]
  27. Harmon, D.J.; Haack, P.; Roulet, T.J. Microfoundations of institutions: A matter of structure versus agency or level of analysis? Acad. Manag. Rev. 2019, 44, 464–467. [Google Scholar] [CrossRef]
  28. Almqvist, F. The fuzzy front-end and the forgotten back-end: User involvement in later development phases. Des. J. 2017, 20, S2524–S2533. [Google Scholar] [CrossRef] [Green Version]
  29. George, R.; Bell, L.C.; Back, W.E. Critical activities in the front-end planning process. J. Manag. Eng. 2008, 24, 66–74. [Google Scholar] [CrossRef]
  30. Gibson, G.E., Jr.; Irons, K.T.; Ray, M.P. Front end planning for buildings. In Building Integration Solutions; ASCE: Reston, VA, USA, 2006; pp. 1–14. [Google Scholar] [CrossRef]
  31. Smyth, H.; Lecoeuvre, L.; Vaesken, P. Co-creation of value and the project context: Towards application on the case of Hinkley Point C Nuclear Power Station. Int. J. Proj. Manag. 2018, 36, 170–183. [Google Scholar] [CrossRef]
  32. Oh, E.H.; Naderpajouh, N.; Hastak, M.; Gokhale, S. Integration of the construction knowledge and expertise in front-end planning. J. Constr. Eng. Manag. 2016, 142, 04015067. [Google Scholar] [CrossRef]
  33. Halttula, H.; Haapasalo, H.; Aapaoja, A.; Manninen, S. Early involvement and integration in construction projects: The benefits of DfX in elimination of wastes. Int. J. Manag. Knowl. 2017, 6, 215–237. [Google Scholar]
  34. Kukulies, J.; Schmitt, R. Stabilizing production ramp-up by modeling uncertainty for product design verification using Dempster–Shafer theory. CIRP J. Manuf. Sci. Technol. 2018, 23, 187–196. [Google Scholar] [CrossRef]
  35. Jung, Y. Automated front-end planning for cost and schedule: Variables for theory and implementation. In AEI 2008: Building Integration Solutions; ASCE: Denver, Colorado, 2008; pp. 1–10. [Google Scholar]
  36. Xiao, Y.; Watson, M. Guidance on conducting a systematic literature review. J. Plan. Educ. Res. 2017, 39, 93–112. [Google Scholar] [CrossRef]
  37. Paré, G.; Trudel, M.-C.; Jaana, M.; Kitsiou, S. Synthesizing information systems knowledge: A typology of literature reviews. Inf. Manag. 2015, 52, 183–199. [Google Scholar] [CrossRef]
  38. Reim, W.; Parida, V.; Örtqvist, D. Product–Service Systems (PSS) business models and tactics—A systematic literature review. J. Clean. Prod. 2015, 97, 61–75. [Google Scholar] [CrossRef]
  39. Noordzij, M.; Hooft, L.; Dekker, F.W.; Zoccali, C.; Jager, K.J. Systematic reviews and meta-analyses: When they are useful and when to be careful. Kidney Int. 2009, 76, 1130–1136. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Musawir, A.U.; Serra, C.E.M.; Zwikael, O.; Ali, I. Project governance, benefit management, and project success: Towards a framework for supporting organizational strategy implementation. Int. J. Proj. Manag. 2017, 35, 1658–1672. [Google Scholar] [CrossRef]
  41. Pemsel, S.; Wiewiora, A.; Müller, R.; Aubry, M.; Brown, K. A conceptualization of knowledge governance in project-based organizations. Int. J. Proj. Manag. 2014, 32, 1411–1422. [Google Scholar] [CrossRef]
  42. Ghosh, S.; Amaya, L.; Skibniewski, M.J. Identifying areas of knowledge governance for successful projects. J. Civ. Eng. Manag. 2012, 18, 495–504. [Google Scholar] [CrossRef]
  43. Jallow, A.K.; Demian, P.; Baldwin, A.N.; Anumba, C.J. Lifecycle approach to requirements information management in construction projects: State-of-the-art and future trends. In Proceedings of the 24th Annual Conference of Association of Researchers in Construction Management ARCOM, University of Glamorgan, Cardiff, UK, 1–3 September 2008. [Google Scholar]
  44. Office of Government Commerce. Managing Successful Projects with PRINCE2; The Stationery Office: London, UK, 2009.
  45. Luo, X.; Shen, Q.; Fan, S. A case-based reasoning system for using functional performance specification in the briefing of building projects. Autom. Constr. 2010, 19, 725–733. [Google Scholar] [CrossRef]
  46. Samset, K.; Volden, G.H. Front-end definition of projects: Ten paradoxes and some reflections regarding project management and project governance. Int. J. Proj. Manag. 2016, 34, 297–313. [Google Scholar] [CrossRef]
  47. Pegoraro, C.; de Paula, I.C. Requirements processing for building design: A systematic review. Production 2017, 27. [Google Scholar] [CrossRef] [Green Version]
  48. Müller, A.; Ludwig, A.; Franczyk, B. Data security in decentralized cloud systems–system comparison, requirements analysis and organizational levels. J. Cloud Comput. 2017, 6, 15. [Google Scholar] [CrossRef]
  49. Cavieres, A.; Gentry, T.R.; Al-Haddad, T. Knowledge-based parametric tools for concrete masonry walls: Conceptual design and preliminary structural analysis. Autom. Constr. 2011, 20, 716–728. [Google Scholar] [CrossRef]
  50. Serugga, J.; Kagioglou, M.; Tzortzopoulos, P. Decision making: Value generation in front end design using quality function and utility theory. In Proceedings of the CIB World Building Congress 2019: Constructing Smart Cities, Hong Kong, China, 17–21 June 2019. [Google Scholar]
  51. Elf, M.; Malmqvist, I. An audit of the content and quality in briefs for Swedish healthcare spaces. J. Facil. Manag. 2009, 7, 198–211. [Google Scholar] [CrossRef]
  52. Locatelli, G.; Mancini, M.; Romano, E. Systems Engineering to improve the governance in complex project environments. Int. J. Proj. Manag. 2014, 32, 1395–1410. [Google Scholar] [CrossRef]
  53. Mota, B.; Biotto, C.; Choudhury, A.; Abley, S.; Kagioglou, M. Lean design management in a major infrastructure project in UK. In Proceedings of the 27th Annual Conference of the International Group for Lean Construction (IGLC), Dublin, Ireland, 1–7 July 2019; pp. 37–48. [Google Scholar]
  54. Fellows, R.; Liu, A. Sensemaking in the cross-cultural contexts of projects. Int. J. Proj. Manag. 2016, 34, 246–257. [Google Scholar] [CrossRef]
  55. Drevland, F.O.; Tillmann, P.A. Value for whom? In Proceedings of the 26th Annual Conference of the International Group for Lean Construction, Chennai, India, 16–22 July 2018; pp. 261–270. [Google Scholar]
  56. Mok, K.Y.; Shen, Q.; Yang, R. Addressing stakeholder complexity and major pitfalls in large cultural building projects. Int. J. Proj. Manag. 2017, 35, 463–478. [Google Scholar] [CrossRef]
  57. Aragonés-Beltrán, P.; García-Melón, M.; Montesinos-Valera, J. How to assess stakeholders’ influence in project management? A proposal based on the Analytic Network Process. Int. J. Proj. Manag. 2017, 35, 451–462. [Google Scholar] [CrossRef]
  58. Moodley, K.; Smith, N.; Preece, C.N. Stakeholder matrix for ethical relationships in the construction industry. Constr. Manag. Econ. 2008, 26, 625–632. [Google Scholar] [CrossRef]
  59. Becker, T.C.; Jaselskis, E.J.; El-Gafy, M. Improving predictability of construction project outcomes through intentional management of indirect construction costs. J. Constr. Eng. Manag. 2014, 140, 04014014. [Google Scholar] [CrossRef]
  60. Leśniak, A.; Zima, K. Cost calculation of construction projects including sustainability factors using the Case Based Reasoning (CBR) method. Sustainability 2018, 10, 1608. [Google Scholar] [CrossRef] [Green Version]
  61. Callegari, C.; Szklo, A.; Schaeffer, R. Cost overruns and delays in energy megaprojects: How big is big enough? Energy Policy 2018, 114, 211–220. [Google Scholar] [CrossRef]
  62. Garcia-Ceballos, L.; de Andres-Díaz, J.R.; Contreras-Lopez, M.A. Life cycle study of different constructive solutions for building enclosures. Sci. Total Environ. 2018, 626, 1167–1174. [Google Scholar] [CrossRef] [PubMed]
  63. Cavka, H.B.; Staub-French, S.; Poirier, E.A. Developing owner information requirements for BIM-enabled project delivery and asset management. Autom. Constr. 2017, 83, 169–183. [Google Scholar] [CrossRef]
  64. Sousa-Zomer, T.; Cauchick-Miguel, P.A. Proposal of a hotspot-based approach to identifying social impacts along the product-service systems life cycle in the early design phases. Procedia CIRP 2017, 64, 85–90. [Google Scholar] [CrossRef]
  65. Vezzoli, C.; Ceschin, F.; Diehl, J.C.; Kohtala, C. New design challenges to widely implement ‘Sustainable Product–Service Systems’. J. Clean. Prod. 2015, 97, 1–12. [Google Scholar] [CrossRef] [Green Version]
  66. Jay, I.; Bowen, P. What residents value in low-cost housing schemes: Some South African concepts. Build. Res. Inf. 2011, 39, 574–588. [Google Scholar] [CrossRef]
  67. Locatelli, G.; Mariani, G.; Sainati, T.; Greco, M. Corruption in public projects and megaprojects: There is an elephant in the room! Int. J. Proj. Manag. 2017, 35, 252–268. [Google Scholar] [CrossRef] [Green Version]
  68. Kyei, R.O.; Chan, A.P. Developing transport infrastructure in Sub-Saharan Africa through Public–Private Partnerships: Policy practice and implications. Transp. Rev. 2015, 36, 170–186. [Google Scholar] [CrossRef]
  69. Palm, J.; Reindl, K. Understanding energy efficiency in Swedish residential building renovation: A practice theory approach. Energy Res. Soc. Sci. 2016, 11, 247–255. [Google Scholar] [CrossRef]
  70. Buyle, M.; Audenaert, A.; Braet, J.; Debacker, W. Towards a more sustainable building stock: Optimizing a Flemish dwelling using a life cycle approach. Buildings 2015, 5, 424–448. [Google Scholar] [CrossRef]
  71. Shackleton, C.M.; Hebinck, P.; Kaoma, H.; Chishaleshale, M.; Chinyimba, A.; Shackleton, S.; Gambiza, J.; Gumbo, D. Low-cost housing developments in South Africa miss the opportunities for household level urban greening. Land Use Policy 2014, 36, 500–509. [Google Scholar] [CrossRef]
  72. Thomson, D.; Austin, S.; Mills, G.R.; Devine-Wright, P. Practitioner understanding of value in the UK building sector. Eng. Constr. Arch. Manag. 2013, 20, 214–231. [Google Scholar] [CrossRef] [Green Version]
  73. Chakraborty, S. Applications of the MOORA method for decision making in manufacturing environment. Int. J. Adv. Manuf. Technol. 2010, 54, 1155–1166. [Google Scholar] [CrossRef]
  74. Senescu, R.R.; Haymaker, J.R.; Meža, S.; Fischer, M.A. Design process communication methodology: Improving the effectiveness and efficiency of collaboration, sharing, and understanding. J. Arch. Eng. 2014, 20, 05013001. [Google Scholar] [CrossRef]
  75. Lin, L.-K.; Chang, C.-C.; Lin, Y.-C. Structure development and performance evaluation of construction knowledge management system. J. Civ. Eng. Manag. 2011, 17, 184–196. [Google Scholar] [CrossRef]
  76. Thew, S.; Sutcliffe, A. Value-based requirements engineering: Method and experience. Requir. Eng. 2017, 23, 443–464. [Google Scholar] [CrossRef] [Green Version]
  77. Vernet, N.; Coste, A. garden cities of the 21st century: A sustainable path to suburban reform. Urban Plan. 2017, 2, 45–60. [Google Scholar] [CrossRef] [Green Version]
  78. Šurlan, N.; Cekic, Z.; Torbica, Z. Use of value management workshops and critical success factors in introducing local experience on the international construction projects. J. Civ. Eng. Manag. 2015, 22, 1021–1031. [Google Scholar] [CrossRef]
  79. Elf, M.; Engström, M.; Wijk, H. An assessment of briefs used for designing healthcare environments: A survey in Sweden. Constr. Manag. Econ. 2012, 30, 835–844. [Google Scholar] [CrossRef]
  80. Hsueh, S.-L.; Lee, J.-R.; Chen, Y.-L. DFAHP multicriteria risk assessment model for redeveloping derelict public buildings. Int. J. Strat. Prop. Manag. 2013, 17, 333–346. [Google Scholar] [CrossRef] [Green Version]
  81. Malekitabar, H.; Ardeshir, A.; Sebt, M.H.; Stouffs, R. Construction safety risk drivers: A BIM approach. Saf. Sci. 2016, 82, 445–455. [Google Scholar] [CrossRef]
  82. Chen, Y.; Okudan, G.E.; Riley, D.R. Sustainable performance criteria for construction method selection in concrete buildings. Autom. Constr. 2010, 19, 235–244. [Google Scholar] [CrossRef]
  83. Pignataro, M.A.; Lobaccaro, G.; Zani, G. Digital and physical models for the validation of sustainable design strategies. Autom. Constr. 2014, 39, 1–14. [Google Scholar] [CrossRef]
  84. Sousa-Zomer, T.; Cauchick-Miguel, P.A. A QFD-based approach to support sustainable product-service systems conceptual design. Int. J. Adv. Manuf. Technol. 2016, 88, 701–717. [Google Scholar] [CrossRef]
  85. De Almeida, N.M.; Sousa, V.; Dias, L.A.; Branco, F. Engineering risk management in performance-based building environments. J. Civ. Eng. Manag. 2015, 21, 218–230. [Google Scholar] [CrossRef]
  86. Romani, M.A.D.S.; Lahoz, C.H.N.; Yano, E.T. Identifying dependability requirements for space software systems. J. Aerosp. Technol. Manag. 2010, 2, 287–300. [Google Scholar] [CrossRef] [Green Version]
  87. Rodrigues, C.; Freire, F. Building retrofit addressing occupancy: An integrated cost and environmental life-cycle analysis. Energy Build. 2017, 140, 388–398. [Google Scholar] [CrossRef]
  88. Chiu, L.; Lowe, R.; Raslan, R.; Altamirano-Medina, H.; Wingfield, J. A socio-technical approach to post-occupancy evaluation: Interactive adaptability in domestic retrofit. Build. Res. Inf. 2014, 42, 574–590. [Google Scholar] [CrossRef] [Green Version]
  89. Williams, T.; Bouchlaghem, D.; Loveday, D.; Law, C. Principal contractor involvement in post-occupancy evaluation in the UK construction industry. Facilities 2013, 31, 39–55. [Google Scholar] [CrossRef]
  90. Adeyeye, K.; Bouchlaghem, D.; Pasquire, C. A conceptual framework for hybrid building projects. Facilities 2010, 28, 358–370. [Google Scholar] [CrossRef]
  91. Wang, M.; Zhang, D.Q.; Su, J.; Dong, J.W.; Tan, S.K. Assessing hydrological effects and performance of low impact development practices based on future scenarios modeling. J. Clean. Prod. 2018, 179, 12–23. [Google Scholar] [CrossRef]
  92. Russell-Smith, S.V.; Lepech, M.D. Cradle-to-gate sustainable target value design: Integrating life cycle assessment and construction management for buildings. J. Clean. Prod. 2015, 100, 107–115. [Google Scholar] [CrossRef]
  93. Himpe, E.; Trappers, L.; Debacker, W.; Delghust, M.; Laverge, J.; Janssens, A.; Moens, J.; Van Holm, M. Life cycle energy analysis of a zero-energy house. Build. Res. Inf. 2013, 41, 435–449. [Google Scholar] [CrossRef]
  94. Wolter, C.; Meinel, C. An approach to capture authorisation requirements in business processes. Requir. Eng. 2010, 15, 359–373. [Google Scholar] [CrossRef]
  95. Carrizo, D.; Dieste, O.; Juristo, N. Contextual attributes impacting the effectiveness of requirements elicitation Techniques: Mapping theoretical and empirical research. Inf. Softw. Technol. 2017, 92, 194–221. [Google Scholar] [CrossRef] [Green Version]
  96. Van De Kar, E.; Hengst, M.D. Involving users early on in the design process: Closing the gap between mobile information services and their users. Electron. Mark. 2008, 19, 31–42. [Google Scholar] [CrossRef] [Green Version]
  97. Knauss, E.; Yussuf, A.; Blincoe, K.; Damian, D.; Knauss, A. Continuous clarification and emergent requirements flows in open-commercial software ecosystems. Requir. Eng. 2016, 23, 97–117. [Google Scholar] [CrossRef] [Green Version]
  98. Kruger, C.; Caiado, R.G.G.; França, S.L.B.; Quelhas, O.L.G. A holistic model integrating value co-creation methodologies towards the sustainable development. J. Clean. Prod. 2018, 191, 400–416. [Google Scholar] [CrossRef]
  99. Serra, C.; Kunc, M. Benefits Realisation Management and its influence on project success and on the execution of business strategies. Int. J. Proj. Manag. 2015, 33, 53–66. [Google Scholar] [CrossRef] [Green Version]
  100. Boton, C. Supporting constructability analysis meetings with Immersive Virtual Reality-based collaborative BIM 4D simulation. Autom. Constr. 2018, 96, 1–15. [Google Scholar] [CrossRef]
  101. Śladowski, G. Use of meta-networks to evaluate key agents, knowledge and resources in the planning of construction projects. Arch. Civ. Eng. 2018, 64, 111–129. [Google Scholar] [CrossRef] [Green Version]
  102. Hu, M. Dynamic life cycle assessment integrating value choice and temporal factors—A case study of an elementary school. Energy Build. 2018, 158, 1087–1096. [Google Scholar] [CrossRef]
  103. Volk, R.; Luu, T.H.; Mueller-Roemer, J.S.; Sevilmis, N.; Schultmann, F. Deconstruction project planning of existing buildings based on automated acquisition and reconstruction of building information. Autom. Constr. 2018, 91, 226–245. [Google Scholar] [CrossRef]
  104. Brioso, X.; Humero, A.; Murguia, D.; Corrales, J.; Aranda, J. Using post-occupancy evaluation of housing projects to generate value for municipal governments. Alex. Eng. J. 2018, 57, 885–896. [Google Scholar] [CrossRef]
  105. Pal, S.K.; Takano, A.; Alanne, K.; Siren, K. A life cycle approach to optimizing carbon footprint and costs of a residential building. Build. Environ. 2017, 123, 146–162. [Google Scholar] [CrossRef]
  106. Shen, W.; Tang, W.; Siripanan, A.; Lei, Z.; Duffield, C.; Wilson, D.; Hui, F.K.P.; Wei, Y. Critical success factors in Thailand′s green building industry. J. Asian Arch. Build. Eng. 2017, 16, 317–324. [Google Scholar] [CrossRef] [Green Version]
  107. Roux, C.; Schalbart, P.; Assoumou, E.; Peuportier, B. Integrating climate change and energy mix scenarios in LCA of buildings and districts. Appl. Energy 2016, 184, 619–629. [Google Scholar] [CrossRef]
  108. Scholl, C.; Kemp, R. City labs as vehicles for innovation in urban planning processes. Urban Plan. 2016, 1, 89. [Google Scholar] [CrossRef] [Green Version]
  109. Shen, W.; Zhang, X.; Shen, Q.; Fernando, T. The user pre-occupancy evaluation method in designer–client communication in early design stage: A case study. Autom. Constr. 2013, 32, 112–124. [Google Scholar] [CrossRef]
  110. Lin, Y.-C. Construction network-based interface management system. Autom. Constr. 2013, 30, 228–241. [Google Scholar] [CrossRef]
  111. Lu, S.; Hao, G. The influence of owner power in fostering contractor cooperation: Evidence from China. Int. J. Proj. Manag. 2013, 31, 522–531. [Google Scholar] [CrossRef]
  112. Rezgui, Y.; Beach, T.; Rana, O. A governance approach for BIM management across lifecycle and supply chains using mixed-modes of information delivery. J. Civ. Eng. Manag. 2013, 19, 239–258. [Google Scholar] [CrossRef]
  113. Abduh, M.; Soemardi, B.W.; Wirahadikusumah, R.D. Indonesian construction supply chains cost structure and factors: A case study of two projects. J. Civ. Eng. Manag. 2012, 18, 209–216. [Google Scholar] [CrossRef] [Green Version]
  114. Liu, K.-S.; Hsueh, S.-L.; Wu, W.-C.; Chen, Y.-L. A DFuzzy-DAHP decision-making model for evaluating energy-saving design strategies for residential buildings. Energies 2012, 5, 4462–4480. [Google Scholar] [CrossRef]
  115. Gasafi, E.; Weil, M. Approach and application of life cycle screening in early phases of process design: Case study of supercritical water gasification. J. Clean. Prod. 2011, 19, 1590–1600. [Google Scholar] [CrossRef]
  116. Chandra, V.; Loosemore, M. Communicating about organizational culture in the briefing process: Case study of a hospital project. Constr. Manag. Econ. 2011, 29, 223–231. [Google Scholar] [CrossRef]
  117. Singh, V.; Gu, N.; Wang, X. A theoretical framework of a BIM-based multi-disciplinary collaboration platform. Autom. Constr. 2011, 20, 134–144. [Google Scholar] [CrossRef]
  118. Yeung, J.F.; Chan, A.P.; Chan, D.W.M. A computerized model for measuring and benchmarking the partnering performance of construction projects. Autom. Constr. 2009, 18, 1099–1113. [Google Scholar] [CrossRef]
  119. Hwang, B.-G.; Shan, M.; Looi, K.-Y. Key constraints and mitigation strategies for prefabricated prefinished volumetric construction. J. Clean. Prod. 2018, 183, 183–193. [Google Scholar] [CrossRef]
  120. Hujainah, F.; Abu Bakar, R.; Abdulgabber, M.A.; Zamli, K.Z. Software requirements prioritisation: A systematic literature review on significance, stakeholders, techniques and challenges. IEEE Access 2018, 6, 71497–71523. [Google Scholar] [CrossRef]
  121. Jansson, G.; Viklund, E.; Olofsson, T. Artistic and engineering design of platform-based production systems: A study of Swedish architectural practice. Buildings 2018, 8, 34. [Google Scholar] [CrossRef] [Green Version]
  122. Chesbrough, H.; Lettl, C.; Ritter, T. Value creation and value capture in open innovation. J. Prod. Innov. Manag. 2018, 35, 930–938. [Google Scholar] [CrossRef] [Green Version]
  123. Chalhoub, J.; Ayer, S.K. Using Mixed Reality for electrical construction design communication. Autom. Constr. 2018, 86, 1–10. [Google Scholar] [CrossRef]
  124. Sindhu, J.; Choi, K.; Lavy, S.; Rybkowski, Z.K.; Bigelow, B.F.; Li, W. Effects of front-end planning under fast-tracked project delivery systems for industrial projects. Int. J. Constr. Educ. Res. 2017, 14, 163–178. [Google Scholar] [CrossRef]
  125. Du, J.; Wu, H.; Zhu, L. Influencing factors on profit distribution of Public-Private partnership projects: Private sector’s perspective. Adv. Civ. Eng. 2018, 2018, 1–10. [Google Scholar] [CrossRef]
  126. Du, J.; Wu, H.; Zhao, X. Critical factors on the capital structure of Public–Private partnership projects: A sustainability perspective. Sustainability 2018, 10, 2066. [Google Scholar] [CrossRef] [Green Version]
  127. Choi, J.; Leite, F.; Oliveira, D.P. BIM-based benchmarking system for healthcare projects: Feasibility study and functional requirements. Autom. Constr. 2018, 96, 262–279. [Google Scholar] [CrossRef]
  128. Liao, P.-C.; Liao, J.-Q.; Wu, G.; Wu, C.; Zhang, X.; Ma, M.-C. Comparing international contractors’ CSR communication patterns: A semantic analysis. J. Clean. Prod. 2018, 203, 353–366. [Google Scholar] [CrossRef]
  129. Eleftheriadis, S.; Duffour, P.; Mumovic, D. Participatory decision-support model in the context of building structural design embedding BIM with QFD. Adv. Eng. Inform. 2018, 38, 695–711. [Google Scholar] [CrossRef]
  130. Han, X.; Li, R.; Wang, J.; Qin, S.; Ding, G. Identification of key design characteristics for complex product adaptive design. Int. J. Adv. Manuf. Technol. 2017, 95, 1215–1231. [Google Scholar] [CrossRef] [Green Version]
  131. Abeywickrama, D.B.; Ovaska, E. A survey of autonomic computing methods in digital service ecosystems. Serv. Oriented Comput. Appl. 2016, 11, 1–31. [Google Scholar] [CrossRef] [Green Version]
  132. Goh, E.; Loosemore, M. The impacts of industrialization on construction subcontractors: A resource based view. Constr. Manag. Econ. 2016, 35, 288–304. [Google Scholar] [CrossRef]
  133. Koh, E.C. A study on the requirements to support the accurate prediction of engineering change propagation. Syst. Eng. 2017, 20, 147–157. [Google Scholar] [CrossRef]
  134. Papadonikolaki, E.; Verbraeck, A.; Wamelink, H. Formal and informal relations within BIM-enabled supply chain partnerships. Constr. Manag. Econ. 2017, 35, 531–552. [Google Scholar] [CrossRef] [Green Version]
  135. Akcay, E.C.; Dikmen, I.; Birgonul, M.T.; Arditi, D. Estimating the profitability of hydropower investments with a case study from Turkey. J. Civ. Eng. Manag. 2017, 23, 1002–1012. [Google Scholar] [CrossRef] [Green Version]
  136. Sinesilassie, E.G.; Tabish, S.Z.S.; Jha, K.N. Critical factors affecting schedule performance. Eng. Constr. Arch. Manag. 2017, 24, 757–773. [Google Scholar] [CrossRef]
  137. Lin, H.; Zeng, S.; Ma, H.; Zeng, R.; Tam, V.W. An indicator system for evaluating megaproject social responsibility. Int. J. Proj. Manag. 2017, 35, 1415–1426. [Google Scholar] [CrossRef]
  138. Sleiman, H.A.; Hempel, S.; Traversari, R.; Bruinenberg, S. An assisted workflow for the early design of nearly zero emission healthcare buildings. Energies 2017, 10, 993. [Google Scholar] [CrossRef] [Green Version]
  139. Cardenas, I.; Voordijk, H.; Dewulf, G. Beyond theory: Towards a probabilistic causation model to support project governance in infrastructure projects. Int. J. Proj. Manag. 2017, 35, 432–450. [Google Scholar] [CrossRef]
  140. Wiese, I.; Ré, R.; Wiese, I.; Kuroda, R.T.; Oliva, G.A.; Treude, C.; Gerosa, M. Using contextual information to predict co-changes. J. Syst. Softw. 2017, 128, 220–235. [Google Scholar] [CrossRef]
  141. Hastie, J.; Sutrisna, M.; Egbu, C. Modelling knowledge integration process in early contractor involvement procurement at tender stage–A Western Australian case study. Constr. Innov. 2017, 17, 429–456. [Google Scholar] [CrossRef]
  142. Sanderson, J.; Winch, G. Public policy and projects. Int. J. Proj. Manag. 2017, 35, 221–223. [Google Scholar] [CrossRef]
  143. Samset, K. Systems engineering in front-end governance of major public investment projects. Systems 2017, 5, 13. [Google Scholar] [CrossRef] [Green Version]
  144. Eckart, K.; McPhee, Z.; Bolisetti, T. Performance and implementation of low impact development—A review. Sci. Total. Environ. 2017, 607, 413–432. [Google Scholar] [CrossRef] [PubMed]
  145. Saoud, L.A.; Omran, J.; Hassan, B.; Vilutiene, T.; Kiaulakis, A. A method to predict change propagation within building information model. J. Civ. Eng. Manag. 2017, 23, 836–846. [Google Scholar] [CrossRef]
  146. Clarke, L.; Gleeson, C.; Winch, C. What kind of expertise is needed for low energy construction? Constr. Manag. Econ. 2016, 35, 78–89. [Google Scholar] [CrossRef] [Green Version]
  147. Oraee, M.; Hosseini, M.R.; Namini, S.B.; Merschbrock, C. Where the gaps lie: Ten years of research into collaboration on BIM-enabled construction projects. Constr. Econ. Build. 2017, 17, 121–139. [Google Scholar] [CrossRef] [Green Version]
  148. Buchmann, R.A.; Karagiannis, D. Modelling mobile app requirements for semantic traceability. Requir. Eng. 2015, 22, 41–75. [Google Scholar] [CrossRef]
  149. Shin, S.; Jeong, S.; Lee, J.; Hong, S.W.; Jung, S. Pre-Occupancy Evaluation based on user behavior prediction in 3D virtual simulation. Autom. Constr. 2017, 74, 55–65. [Google Scholar] [CrossRef]
  150. Revellino, S.; Mouritsen, J. Knotting the net: From ‘design by deception’ to an object oriented politics. Int. J. Proj. Manag. 2017, 35, 296–306. [Google Scholar] [CrossRef]
  151. Rowlinson, S. Building information modelling, integrated project delivery and all that. Constr. Innov. 2017, 17, 45–49. [Google Scholar] [CrossRef]
  152. Heikkilä, V.T.; Paasivaara, M.; Lasssenius, C.; Damian, D.; Engblom, C. Managing the requirements flow from strategy to release in large-scale agile development: A case study at Ericsson. Empir. Softw. Eng. 2017, 22, 2892–2936. [Google Scholar] [CrossRef] [Green Version]
  153. Galle, W.; De Temmerman, N.; De Meyer, R. Integrating scenarios into life cycle assessment: Understanding the value and financial feasibility of a demountable building. Buildings 2017, 7, 64. [Google Scholar] [CrossRef]
  154. Dias, W.P.S.; Chandratilake, S.; Ofori, G. Dependencies among environmental performance indicators for buildings and their implications. Build. Environ. 2017, 123, 101–108. [Google Scholar] [CrossRef]
  155. Kpamma, Z.; Adjei-Kumi, T.; Ayarkwa, J.; Adinyira, E. Participatory design, wicked problems, choosing by advantages. J. Eng. Constr. Arch. Manag. 2017, 24, 289–307. [Google Scholar] [CrossRef]
  156. Hollberg, A.; Ruth, J. LCA in architectural design—A parametric approach. Int. J. Life Cycle Assess. 2016, 21, 943–960. [Google Scholar] [CrossRef] [Green Version]
  157. Del Caño, A.; de la Cruz, M.P.; Gómez, D.; Pérez, M. Fuzzy method for analysing uncertainty in the sustainable design of concrete structures. J. Civ. Eng. Manag. 2016, 22, 924–935. [Google Scholar] [CrossRef] [Green Version]
  158. Haddadi, A.; Johansen, A.; Andersen, B. A Conceptual framework to enhance value creation in construction projects. Procedia Comput. Sci. 2016, 100, 565–573. [Google Scholar] [CrossRef] [Green Version]
  159. Davies, A.; Brady, T. Explicating the dynamics of project capabilities. Int. J. Proj. Manag. 2016, 34, 314–327. [Google Scholar] [CrossRef]
  160. Immonen, A.; Ovaska, E.; Kalaoja, J.; Pakkala, D. A service requirements engineering method for a digital service ecosystem. Serv. Oriented Comput. Appl. 2015, 10, 151–172. [Google Scholar] [CrossRef] [Green Version]
  161. Nielsen, A.N.; Jensen, R.L.; Larsen, T.S.; Nissen, S.B. Early stage decision support for sustainable building renovation—A review. Build. Environ. 2016, 103, 165–181. [Google Scholar] [CrossRef]
  162. Jussila, A.; Mainela, T.; Nätti, S. Formation of strategic networks under high uncertainty of a megaproject. J. Bus. Ind. Mark. 2016, 31, 575–586. [Google Scholar] [CrossRef]
  163. Dave, B.; Kubler, S.; Främling, K.; Koskela, L. Opportunities for enhanced lean construction management using Internet of Things standards. Autom. Constr. 2016, 61, 86–97. [Google Scholar] [CrossRef] [Green Version]
  164. Delmastro, C.; Mutani, G.; Corgnati, S.P. A supporting method for selecting cost-optimal energy retrofit policies for residential buildings at the urban scale. Energy Policy 2016, 99, 42–56. [Google Scholar] [CrossRef]
  165. Addison, C.; Jenkins, B.W.C.; Odom, D.; Fortenberry, M.; Wilson, G.; Young, L.; Antoine-LaVigne, D. Building collaborative health promotion partnerships: The jackson heart study. Int. J. Environ. Res. Public Health 2015, 13, 25. [Google Scholar] [CrossRef] [PubMed]
  166. Bacciotti, D.; Maccioni, L.; Cascini, G.; Rotini, F. Product planning techniques: Investigating the differences between research trajectories and industry expectations. Res. Eng. Des. 2016, 27, 367–389. [Google Scholar] [CrossRef] [Green Version]
  167. Wei, H.-H.; Liu, M.; Skibniewski, M.J.; Balali, V. Conflict and consensus in stakeholder attitudes toward sustainable transport projects in China: An empirical investigation. Habitat Int. 2016, 53, 473–484. [Google Scholar] [CrossRef]
  168. Ferreira, M.; Almeida, M.; Rodrigues, A. Cost-optimal energy efficiency levels are the first step in achieving cost effective renovation in residential buildings with a nearly-zero energy target. Energy Build. 2016, 133, 724–737. [Google Scholar] [CrossRef]
  169. Müller, R.; Zhai, L.; Wang, A.; Shao, J. A framework for governance of projects: Governmentality, governance structure and projectification. Int. J. Proj. Manag. 2016, 34, 957–969. [Google Scholar] [CrossRef]
  170. Dias, R.; Cabral, A.S.; Lopez, B.; Belderrain, M.C.N. The use of cognitive maps for requirements elicitation in product development. J. Aerosp. Technol. Manag. 2016, 8, 178–192. [Google Scholar] [CrossRef]
  171. Bayram, S.; Ocal, M.E.; Oral, E.L.; Atis, C. Comparison of multi layer perceptron (mlp) and radial basis function (rbf) for construction cost estimation: The case of Turkey. J. Civ. Eng. Manag. 2015, 22, 480–490. [Google Scholar] [CrossRef] [Green Version]
  172. LeDoux, Y.; Teissandier, D.; Sebastian, P. Global optimisation of functional requirements and tolerance allocations based on designer preference modelling. J. Eng. Des. 2016, 27, 591–612. [Google Scholar] [CrossRef]
  173. Hoła, B.; Sawicki, M.; Skibniewski, M.J. An IT model of a knowledge map which supports management in small and medium-sized companies using selected polish construction enterprises as an example. J. Civ. Eng. Manag. 2015, 21, 1014–1026. [Google Scholar] [CrossRef] [Green Version]
  174. Plewa, C.; Sweeney, J.; Michayluk, D. Determining value in a complex service setting. J. Serv. Theory Pr. 2015, 25, 568–591. [Google Scholar] [CrossRef]
  175. Lung, C.-H.; Balasubramaniam, B.; Selvarajah, K.; Elankeswaran, P.; Gopalasundaram, U. On building architecture-centric product line architecture. Requir. Eng. 2014, 20, 301–321. [Google Scholar] [CrossRef]
  176. Dagan, D.; Isaac, S. Planning safe distances between workers on construction sites. Autom. Constr. 2015, 50, 64–71. [Google Scholar] [CrossRef]
  177. Koh, E.C.; Förg, A.; Kreimeyer, M.; Lienkamp, M. Using engineering change forecast to prioritise component modularisation. Res. Eng. Des. 2015, 26, 337–353. [Google Scholar] [CrossRef]
  178. Li, H.; Arditi, D.; Wang, Z. Determinants of transaction costs in construction projects. J. Civ. Eng. Manag. 2015, 21, 548–558. [Google Scholar] [CrossRef]
  179. Singhaputtangkul, N.; Low, S.P. Modeling a decision support tool for buildable and sustainable building envelope designs. Buildings 2015, 5, 521–535. [Google Scholar] [CrossRef]
  180. Jung, Y.; Moon, B.-S.; Kim, Y.-M.; Kim, W. Integrated cost and schedule control systems for nuclear power plant construction: Leveraging strategic advantages to owners and EPC firms. Sci. Technol. Nucl. Install. 2015, 2015, 1–13. [Google Scholar] [CrossRef]
  181. Lu, Y.; Wang, S.; Shan, K. Design optimization and optimal control of grid-connected and standalone nearly/net zero energy buildings. Appl. Energy 2015, 155, 463–477. [Google Scholar] [CrossRef]
  182. Too, E.; Weaver, P. The management of project management: A conceptual framework for project governance. Int. J. Proj. Manag. 2014, 32, 1382–1394. [Google Scholar] [CrossRef]
  183. Tserng, H.-P.; Ho, S.-P.; Jan, S.-H. Developing bim-assisted as-built schedule management system for general contractors. J. Civ. Eng. Manag. 2014, 20, 47–58. [Google Scholar] [CrossRef] [Green Version]
  184. Wong, K.K.W.; Kumaraswamy, M.; Mahesh, G.; Ling, F.Y.Y. Building integrated project and asset management teams for sustainable built infrastructure development. J. Facil. Manag. 2014, 12, 187–210. [Google Scholar] [CrossRef] [Green Version]
  185. Shaikh, P.H.; Nor, N.B.M.; Nallagownden, P.; Elamvazuthi, I.; Ibrahim, T. A review on optimized control systems for building energy and comfort management of smart sustainable buildings. Renew. Sustain. Energy Rev. 2014, 34, 409–429. [Google Scholar] [CrossRef]
  186. De Schepper, S.; Dooms, M.; Haezendonck, E. Stakeholder dynamics and responsibilities in Public–Private Partnerships: A mixed experience. Int. J. Proj. Manag. 2014, 32, 1210–1222. [Google Scholar] [CrossRef]
  187. Hellström, M.; Ruuska, I.; Wikström, K.; Jåfs, D. Project governance and path creation in the early stages of Finnish nuclear power projects. Int. J. Proj. Manag. 2013, 31, 712–723. [Google Scholar] [CrossRef]
  188. Im, S.; Montoya, M.M.; Workman, J.P. Antecedents and consequences of creativity in product innovation teams. J. Prod. Innov. Manag. 2012, 30, 170–185. [Google Scholar] [CrossRef]
  189. Belkadi, F.; Dremont, N.; Notin, A.; Troussier, N.; Messadia, M. A meta-modelling framework for knowledge consistency in collaborative design. Annu. Rev. Control. 2012, 36, 346–358. [Google Scholar] [CrossRef]
  190. Sanderson, J. Risk, uncertainty and governance in megaprojects: A critical discussion of alternative explanations. Int. J. Proj. Manag. 2012, 30, 432–443. [Google Scholar] [CrossRef]
  191. Tang, L.; Shen, Q.; Skitmore, M.; Cheng, E.W.; Skitmore, M. Ranked critical factors in PPP briefings. J. Manag. Eng. 2013, 29, 164–171. [Google Scholar] [CrossRef] [Green Version]
  192. Hopfe, C.J.; Hensen, J.L. Uncertainty analysis in building performance simulation for design support. Energy Build. 2011, 43, 2798–2805. [Google Scholar] [CrossRef] [Green Version]
  193. Yang, R.; Shen, Q.; Ho, C.M.; Drew, D.S.; Xue, X. Stakeholder management in construction: An empirical study to address research gaps in previous studies. Int. J. Proj. Manag. 2011, 29, 900–910. [Google Scholar] [CrossRef]
  194. Leckner, M.; Zmeureanu, R. Life cycle cost and energy analysis of a Net Zero Energy House with solar combisystem. Appl. Energy 2011, 88, 232–241. [Google Scholar] [CrossRef]
  195. Baalousha, Y.; Çelik, T. An integrated web-based data warehouse and artificial neural networks system for unit price analysis with inflation adjustment. J. Civ. Eng. Manag. 2011, 17, 157–167. [Google Scholar] [CrossRef]
  196. Gu, N.; London, K. Understanding and facilitating BIM adoption in the AEC industry. Autom. Constr. 2010, 19, 988–999. [Google Scholar] [CrossRef]
  197. De Almeida, N.M.; Sousa, V.; Dias, L.; Branco, F. A framework for combining risk-management and performance-based building approaches. Build. Res. Inf. 2010, 38, 157–174. [Google Scholar] [CrossRef]
  198. Razavi, S.; Haas, C.T. Multisensor data fusion for on-site materials tracking in construction. Autom. Constr. 2010, 19, 1037–1046. [Google Scholar] [CrossRef]
  199. Chung, J.K.; Kumaraswamy, M.; Palaneeswaran, E.; Chung, K.H.J. Improving megaproject briefing through enhanced collaboration with ICT. Autom. Constr. 2009, 18, 966–974. [Google Scholar] [CrossRef]
  200. Ross, A.M.; Rhodes, D.H.; Hastings, D.E. Defining changeability: Reconciling flexibility, adaptability, scalability, modifiability, and robustness for maintaining system lifecycle value. Syst. Eng. 2008, 11, 246–262. [Google Scholar] [CrossRef] [Green Version]
  201. Yu, A.T.W.; Shen, Q.; Kelly, J.; Hunter, K. Comparative study of the variables in Construction Project Briefing/Architectural Programming. J. Constr. Eng. Manag. 2008, 134, 122–138. [Google Scholar] [CrossRef]
  202. Agouridas, V.; McKay, A.; Winand, H.; De Pennington, A. Advanced product planning: A comprehensive process for systemic definition of new product requirements. Requir. Eng. 2007, 13, 19–48. [Google Scholar] [CrossRef]
Figure 1. The research approach for exclusion and Inclusion—Adapted from Xiao and Watson [36].
Figure 1. The research approach for exclusion and Inclusion—Adapted from Xiao and Watson [36].
Buildings 10 00083 g001
Figure 2. Distribution of resources over the decade.
Figure 2. Distribution of resources over the decade.
Buildings 10 00083 g002
Figure 3. Research sectors used in the study.
Figure 3. Research sectors used in the study.
Buildings 10 00083 g003
Figure 4. Summary of Journal Resources for study.
Figure 4. Summary of Journal Resources for study.
Buildings 10 00083 g004
Figure 5. Distribution of concepts among study articles.
Figure 5. Distribution of concepts among study articles.
Buildings 10 00083 g005
Figure 6. The Change Control Model for requirements management and benefits realisation in an FED perspective.
Figure 6. The Change Control Model for requirements management and benefits realisation in an FED perspective.
Buildings 10 00083 g006
Figure 7. Summary of categories and factors of Design Requirements.
Figure 7. Summary of categories and factors of Design Requirements.
Buildings 10 00083 g007
Figure 8. Requirement Category Ranking in FED.
Figure 8. Requirement Category Ranking in FED.
Buildings 10 00083 g008
Figure 9. Requirements rankings in FED.
Figure 9. Requirements rankings in FED.
Buildings 10 00083 g009
Table 1. Assessment of quality.
Table 1. Assessment of quality.
CriterionGrade CriteriaGrade
C1—Clarity of aims and objectives(1, 0.5, 0) (Yes, Nominally, No)151 Studies, 94%
C2—Focus and context of research(1, 0.5, 0) (Yes, Nominally, No)150 Studies, 93%
C3—Clarity in research findings(1, 0.5, 0) (Yes, Nominally, No)153 Studies, 95%
C4—validity and rigour of research(1, 0.5, 0) (Yes, Nominally, No)151 Studies, 94%
Table 2. Summary of definitions of key concepts.
Table 2. Summary of definitions of key concepts.
AuthorsConceptDefinition
Pemsel, Wiewiora [41]GovernanceA set of relationships between stakeholders and the distribution of rights and responsibilities among these various stakeholders
Ghosh, Amaya [42]Knowledge ManagementThe control of the organisational problem solution and adaptation capacity through a goal-directed development and utilisation of the organisational knowledge base
Jallow, Demian [43], The Office of Government [44]Requirements ManagementThe process of elicitation, documentation, organisation and tracking requirements information and communicating across the various stakeholders and project teams as RM.
Xiaochun Luo, Shen [45]Functional PerformanceA structured requirement analysis process, in which client requirements are firstly defined with functions and relevant evaluation criteria
Value ManagementDefining what ‘value’ means to a client within a particular context by bring the project stakeholders together and producing a clear statement of the project’s objectives
Samset and Volden [46]Project GovernanceThe processes, systems, and regulations that the financing party must have in place to ensure that projects are successful
ul Musawir, Serra [40]BenefitA flow of value that occurs when customers use project outputs
Benefits Realisation ManagementA set of processes that ensure that projects, programs, and portfolios embed the requirements of business strategies into business-as-usual, in order to create value in a meaningful and sustainable manner
Pegoraro and Paula [47]RequirementA statement that prescribes features that a product or service must have to satisfy demands or to achieve project stakeholders’ goals
Design Solutiondecision or action is chosen to meet the design requirements, which must be limited by the specifications
Table 3. Selected literature on the requirements categorisations.
Table 3. Selected literature on the requirements categorisations.
AuthorCategoryResearch Questions/Goals
Cavka, Staub-French [63]Technical, Economics, Governance, Environment, Health and Safety, Life Cycle PerformanceA study to understand and facilitate processes of developing and formulating Building Information Modelling (BIM) requirements to support the lifecycle of their assets through an iterative approach to the identification and characterisation of owner requirements
Sousa-Zomer and Cauchick-Miguel [64]Governance, Environmental, Technical, Health and Safety, Life Cycle PerformanceThe study investigating Product Service System (PSS) applied to sustainable design during conceptual design
Locatelli, Mariani [67]Economics, Technical, Geopolitics, Governance, SocioculturalA study into new ways to select, plan and deliver infrastructure in corrupt project contexts
Mok, Shen [56]Governance, Economics, Technical, SocioculturalAn investigation of stakeholder complexity and understanding how major pitfalls in cultural building projects from a stakeholder perspective are crucial to the successful management of these projects
Osei–Kyei and Chan [68]Economics, Governance, Geopolitics, Technical, OccupancyA study into the success and failure factors of Public-Private Partnership Transport Infrastructure in Sub-Saharan Africa
Palm and Reindl [69]Environment, Economics, Geopolitics, Life Cycle PerformanceA study into renovation processes for reduced energy consumption in front end design
Vezzoli, Ceschin [65]Environment, Economics, Geopolitics, Sociocultural, Technical, Governance, Health and Safety, OccupancyA state of the art look into user satisfaction and acceptance of Sustainable Product-Service Systems solutions and how industrial partnerships and stakeholder interactions can be designed for environmental and socio-ethical benefits, socio-technical change and transition management
Buyle, Audenaert [70]Environment, Economics, Geopolitics, GovernanceAn investigation into scenarios to improve the environmental profile of new buildings in the Flemish/Belgian context
Shackleton, Hebinck [71]Occupancy, Economics, Technical, Environment, Geopolitics, Life Cycle CostsA study into how policy can foster urban forestry and greening through a regime of maintenance, use and appreciation of trees on private homesteads of residents of new and older low-income suburbs as well as informal housing areas
Thomson, Austin [72]Technical, Economic, Environmental, Lifecycle Performance, GovernanceExamining the construction practitioners’ collective cognition of value to determine how their facilitation may bias this intent.
Jay and Bowen [66]Technical, Economics, Environment, Health and Safety, Sociocultural, OccupancyA study of social housing value perceptions in South Africa
Moodley, Smith [58]Sociocultural, Health and Safety, Economics, GovernanceA study into ethics of construction practices including exploration of social contracts and corporate responsibility

Share and Cite

MDPI and ACS Style

Serugga, J.; Kagioglou, M.; Tzortzopoulos, P. Front End Projects Benefits Realisation from a Requirements Management Perspective—A Systematic Literature Review. Buildings 2020, 10, 83. https://doi.org/10.3390/buildings10050083

AMA Style

Serugga J, Kagioglou M, Tzortzopoulos P. Front End Projects Benefits Realisation from a Requirements Management Perspective—A Systematic Literature Review. Buildings. 2020; 10(5):83. https://doi.org/10.3390/buildings10050083

Chicago/Turabian Style

Serugga, Joas, Mike Kagioglou, and Patricia Tzortzopoulos. 2020. "Front End Projects Benefits Realisation from a Requirements Management Perspective—A Systematic Literature Review" Buildings 10, no. 5: 83. https://doi.org/10.3390/buildings10050083

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop