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The groundbreaking works of Maslow and Herzberg have been used by many researchers on construction worker motivation. These two classical theorists were used as the basis for a survey of needs, motivators and demotivators on high‐rise building construction sites in Bangkok, Thailand. The needs and felt motivators of construction workers in Bangkok are low on the Maslow hierarchy. The agreement between workers and supervisors regarding needs is strong. However, the agreement on motivators and demotivators is rather weak. This may lead to the use of inappropriate methods for motivating workers. A comparison of the results of the present survey with other studies showed that attempts to motivate workers should take cognizance of the cultural context in order to achieve good results.

This study aims to investigate projects as social exchange networks, focussing on identifying knowledge brokers within the project network where they are key holders and disseminators of end-user needs. The purpose is to augment current theory through a practice lens so that building end-user requirements can be better incorporated in evolving project ecosystems.

An interpretive, an inductive case study is used to map knowledge brokers during a complex construction and co-location project. During the wider study, a variety of methods including archival data, interviews and questionnaires along with social network analysis (SNA) were used. The mixed methodology used has been pivotal in the triangulation of data from various sources. However, the output of SNA presented in this paper relies mostly on interviews and questionnaires administered to the project’s core network. Network relationships were mapped with knowledge of user requirements, being the key determinant of the binary relationships between actors.

The research found certain roles to be central knowledge brokers of knowledge related to end-user processes, including real estate and strategic planning, building operations and management, human and environmental factors, planning and project management and facility and service delivery. The knowledge of the above roles, albeit in a contextually situated case study, augments current understanding of which roles to tap on during project execution for better representation of end-user needs.

The research site is representative of a complex network of construction project stakeholders, including several categories of end-users and their representatives. The study demonstrates the use of the project-as-practice approach, whereby project theory is seen to emerge directly from practice. This has impact on practice as emergent theory about knowledge transfer and knowledge brokerage is essentially practice-led and hence more useful and relate-able to practitioners.

Research presented here is novel in terms of its approach towards understanding end-user needs such as need for privacy, control, attachment and interaction during construction projects. This is done through the identification of relevant knowledge brokers. The study uses SNA as an analytical tool to map knowledge transfers through the project’s network. End-user requirements are usually captured in the front-end of projects as specifications and deliverables, as new challenges emerge during execution, changes are required to the project’s direction and outcomes. It is therefore imperative that end-user needs are re-identified through knowledge brokers holding key knowledge. This allows project managers to prepare appropriate responses to changing project ecosystems.

The application of an artificial neural network (ANN) to forecast the construction duration of buildings at the predesign stage is described in this paper. A three‐layered back‐propagation (BP) network consisting of 11 input nodes has been constructed. Ten binary input nodes represent basic information on building features (i.e. building function, structural system, foundation, height, exterior finishing, quality of interior decorating, and accessibility to the site), and one real‐value input represents functional area. The input nodes are fully connected to one output node through hidden nodes. The network was implemented on a Pentium‐150 based microcomputer using a neurocomputer program written in C+ +. The Generalized Delta Rule (GDR) was used as learning algorithm. One hundred and thirty‐six buildings built during the period 1987–95 in the Greater Bangkok area were used for training and testing the network. The determination of the optimum number of hidden nodes, learning rate, and momentum were based on trial‐and‐error. The best network was found to consist of six hidden nodes, with a learning rate of 0.6, and null momentum. It was trained for 44700 epochs within 943 s such that the mean squared error (judgement) of training and test samples were reduced to 1.17 × 10−7 and 3.10 × 10−6, respectively. The network can forecast construction du‐ration at the predesign stage with an average error of 13.6%.

Empirical evidence suggests that many triggers influence poor cost performance in highway projects, whereas previous studies about the cost overrun triggers stem from a positivist standpoint supported by conventional statistical techniques, thus disregarding the sophisticated interactions and overall dynamics of the triggers. This study contends for a paradigm shift in investigating and understanding cost overrun triggers by adopting a holistic perspective through the lens of system thinking. This study aims to contend for a paradigm shift in investigating and understanding cost overrun triggers by adopting a holistic perspective through the lens of system thinking.

Semi-structured interviews with industry stakeholders in Nigeria were conducted buttressed by textual data from literature sources and project documents. Data analysis based on a developed data compatible coding framework and causal relations from textual data sources was used to develop a causal loop diagram depicting the interactions of the triggers which were validated by experts.

The analysis of the causal loop diagrams (CLDs) allowed identification of action points used to suggest changes for improved cost-effective highway project delivery. Among the suggested interventions are ensuring the provision of adequate funding prior to contract award will result in timely delivery of projects and indeed delivering key projects at the contractual agreed budget. This can be achieved through ensuring strict adherence to the provisions of Section 4 (2) (b) of the Nigerian Public Procurement Act, 2007 which stipulates that no contract should be awarded if funds are not available from the onset.

The study was limited to only highway infrastructure projects in Nigeria and as such caution must be taken before using the outcome of the study to other context within Nigeria and beyond.

From a practical point of view, the causal model demonstrates that this study is capable of being used to make pragmatic decisions regarding policy leverages about improving cost performance in highway projects provision in the Nigerian highway infrastructure sector of the construction industry. Moreover, it will aid a clear understanding of the key influencing triggers of cost overrun by the relevant stakeholders within the highway sector of the industry.

The hybrid-based approach applied in the development of CLDs in this study is expected to provide new insight into understanding the linkages, interactions, feedbacks and processes among the key cost overrun triggers and suggesting leverages for cost performance improvement within the philosophy of system thinking.

Extensive research towards identifying the attributable cost overrun factors globally has been conducted predominantly from a survey-oriented perspective, which disregard the contextual basis on which these triggers manifest. This study aims to explore the driving factors of cost overrun in highway projects, specific to the Nigerian context.

The research used a context-based approach to seek project stakeholders’ perspectives on the key drivers of cost overrun in highway projects in Nigerian. Semi-structured interviews were conducted with client, contractor and consultant organisations involved in the provision of highway infrastructure projects in Nigeria. The collected data was analysed using a developed coding framework grounded on a case study approach, principles of inductive thematic analysis and saliency analysis to identify the key drivers.

Findings from the analysis identified triggers from macroeconomic, societal, leadership and project management perspectives with synergistic relationships with each other based on prevalence and significance. Among the key triggers is a delay in work progress, political instability, adverse weather, social issues, delay in progress payment to contractors and modification of project scope. In conclusion, the triggers of cost overrun in highway projects are contextually driven by the complex nature of the project management, societal, macroeconomic and leadership triggers specific to the Nigerian context.

The research was limited to only highway infrastructure projects in Nigeria. Furthermore, the findings are based on a small sample size, and thus, caution must be taken before applying the outcome of this study in a generalised way to other contexts.

Practically, the stakeholders i.e. client, contractors and consultants should acknowledge the contextual circumstances in which each of the triggers takes place, which will aid in developing pragmatic measures and make the right decisions towards addressing these triggers during any highway construction project in Nigeria and enhance the chances of project success.

The context-based approach applied in this study is expected to provide a new insight in understanding the triggers of cost overruns, especially in highway projects in Nigeria and indeed other developing countries with similar governance characteristics

Delay in housing adaptation is a major problem, especially in assessing if homes are suitable for the occupants and in determining if the occupants are qualified for the Disabled Facilities Grant (DFG). This paper describes the development of two self-administered intelligent integrated assessment tools from the DFG Adapt-ABLE system: (1) The Home Suitability Assessment Platform, which is a preventive mechanism that allows assessment of the suitability of homes based on occupants’ mobility status and (2) an indicative assessment platform that determines if the applicants are qualified for the DFG to prevent lengthy delays.

The adopted method aligned with a development study approach: a grounded literature review, a severity measurement approach, two stakeholder engagement workshops, four brainstorming sessions and four focus group exercises. The system development relied on Entity–Relationship Diagram (ERD) technique for data structures and database systems design. It uses DFG context sensitivity with alignment with DFG guidance, interlinkages and interoperability between the assessment tools and other platforms of the integrated Adapt-ABLE system.

The assessment tools are client-level outcomes related to accessibility, usability and activity based on the assessment process. The home suitability platform shows the percentage of the suitability of a home with assessment results that suggest appropriate action plans based on individual mobility status. The indicative assessment combines the function of referral, allocation, assessment and test of resources into an integrated platform. This enables timely assessment, decision-making and case-escalation by Occupational Therapists based on needs criteria and the eligibility threshold.

These assessment tools are useful for understanding occupants’ perception of their physical housing environment in terms of accessibility, suitability and usability based on basic activities of daily living and their mobility status. The indicative self-assessment tool will substantially cut down the application journey. The developed tools have been recommended for use in the CSJ Disability Commission report and the UK government Guidance on DFGs for local authorities in England.

Stakeholder management plays a significant role in successfully delivering construction projects. However, being able to carry out effective stakeholder management in construction is contingent upon understanding the interrelationships among critical success factors (CSFs) for stakeholder management in construction and how they are related to project success (PS). This would enable the persons responsible for stakeholder management to know the logical process for addressing the CSFs in order to get stakeholder management right. The understanding of this relationship has not been addressed. The purpose of this paper is to investigate the interrelationships between the CSFs for stakeholder management and PS in construction.

From an extensive literature review, 23 CSFs for stakeholder management in construction were identified. A conceptual structural equation model (SEM) of the relationships between CSFs was developed (including measurement and structural models) using the groupings of the CSFs for stakeholder management in construction. A questionnaire survey was used to collect data from construction industry practitioners. The data so collected were analysed using SEM in analysis of moment structures (AMOS).

The SEM analysis of data collected resulted in the best fitting measurement model comprising 16 CSFs as indicators of four latent variables, namely, stakeholder characteristics and project characteristics (SCPC); stakeholder analysis (SA); stakeholder dynamics (SD); and stakeholder engagement/empowerment (SE). Furthermore, it was found that only SE has a direct positive impact on PS. The other three constructs SCPC, SA and understanding SD collectively impact on PS through the construct, SE.

The research reported in this paper was carried out in the UK; hence, the findings may have portrayed the UK construction professionals’ opinion. However, the theoretical principles on which the research was based are general and similar research could be replicated in different countries whose construction procurement processes and industries are structured like those of the UK or otherwise.

The main contribution of this study to existing knowledge is an empirical evidence of the interrelationships among the CSFs for stakeholder management in construction through their latent variables which is portrayed in the best fitting structural model showing the relationships between the constructs of CSFs for stakeholder management and PS. This should serve as a guide to construction project management team or responsible professionals for undertaking stakeholder management in construction projects.

The paper contributes to theory by empirically identifying the interrelationships among the CSFs for stakeholder management linking to PS which will serve as a guide to construction professionals.

The lack of a proper register to store, match and display information on the adapted property has led to a waste of resources and prolonged delays in matching the disabled and elderly people with appropriate properties. This paper presents the development of a Housing Adaptations Register with user-matching functionalities for different mobility categories. The developed system accurately captures and documents adapted home information to facilitate the automated matching of disabled/aged applicants needing an adapted home with suitable property using banding, mobility and suitability index.

A theoretical review was conducted to identify parameters and develop adaptations register construct. A survey questionnaire approach to rate the 111 parameters in the register as either moderate, desirable or essential before system development and application. The system development relied on DSS modelling to support data-driven decision-making based on the decision table method to represent property information for implementing the decision process. The system is validated through a workshop, four brainstorming sessions and three focus group exercises.

Development of a choice-based system that enables the housing officers or the Housing Adaptations Register coordinators to know the level of adaptation to properties and match properties quickly with the applicants based on their mobility status. The merits of the automated system include the development of a register to capture in real-time adapted home information to facilitate the automated matching of disabled/aged applicants. A “choice-based” system that can map and suggest a property that can easily be adapted and upgraded from one mobility band to the other.

The development of a housing adaptation register helps social housing landlords to have a real-time register to match, map and upgrade properties for the most vulnerable people in our society. It saves time and money for the housing associations and the local authorities through stable tenancy for adapted homes. Potentially, it will promote the independence of aged and disabled people and can reduce their dependence on social and healthcare services.

This system provides the local authorities with objective and practical tools that may be used to assess, score, prioritise and select qualified people for appropriate accommodation based on their needs and mobility status. It will provide a record of properties adapted with their features and ensure that matching and eligibility decisions are consistent and uniform.