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This study investigates the requisite measures for enhancing sustainability practices within the Indonesian construction industry based on professional perspectives.

This study used quantitative approach for data collection. A survey was conducted, using a questionnaire completed by 482 Indonesian construction professionals as a research instrument, and data were analyzed through reliability and exploratory factor analysis.

The findings suggest that for sustainability practices to become widely implemented within the Indonesian construction industry, certain measures are required. These include the need to raise awareness through education, development of standardized benchmarks, and the implementation of appraisal systems by the government, professional bodies, and academic institutions. These approaches are expected to build capacity and enhance the knowledge of sustainability among construction professionals and their clients. In addition, sustainable construction practices could be encouraged through a subsidized green market, which could be finalized supported by the government from financial penalties levied against non-sustainable practices.

By implementing the underlying strategies within the Indonesian construction industry, the poor knowledge, awareness, implementation, and motivation for sustainable practices within the Indonesian construction industry could be addressed, thereby reducing the environmental impacts associated with buildings and construction activities.

Buildings and their construction activities consume a significant proportion of mineral resources excavated from nature and contribute a large percentage of CO₂ in the atmosphere. As a way of improving the sustainability of building construction and operation, various sustainable design appraisal standards have been developed across nations. Albeit criticism of the appraisal standards, evidence shows that increasing sustainability of the built environment has been engendered by such appraisal tools as Building Research Establishment Environmental Assessment Method (BREEAM), Code for Sustainable Homes (CfSH), Leadership in Energy and Environmental Design and Comprehensive Assessment System for Built Environment Efficacy, among others. The purpose of this paper is to evaluate the effectiveness of the appraisal standards in engendering whole lifecycle environmental sustainability of the built environment.

In order to evaluate the adequacy of sustainability scores assigned to various lifecycle stages of buildings in the appraisal standards, four case studies of a block of classroom were modelled. Using Revit as a modelling platform, stage by stage lifecycle environmental impacts of the building were simulated through Green Building Studio and ATHENA Impact estimator. The resulting environmental impacts were then compared against the assessment score associated with each stage of building lifecycle in BREAAM and CfSH.

Results show that albeit the consensus that the appraisal standards engender sustainability practices in the AEC industry, total scores assigned to impacts at each stage of building lifecycle is disproportionate to the simulated whole-life environmental impacts associated with the stages in some instances.

As the study reveals both strengths and weaknesses in the existing sustainability appraisal standards, measures through which they can be tailored to resource efficiency and lifecycle environmental sustainability of the built environment are suggested.

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.

Road traffic emissions are generally believed to contribute immensely to air pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been fully investigated. This paper aims to investigate the effects traffic data set have on the performance of machine learning (ML) predictive models in AQ prediction.

To achieve this, the authors have set up an experiment with the control data set having only the AQ data set and meteorological (Met) data set, while the experimental data set is made up of the AQ data set, Met data set and traffic data set. Several ML models (such as extra trees regressor, eXtreme gradient boosting regressor, random forest regressor, K-neighbors regressor and two others) were trained, tested and compared on these individual combinations of data sets to predict the volume of PM_2.5, PM₁₀, NO₂ and O₃ in the atmosphere at various times of the day.

The result obtained showed that various ML algorithms react differently to the traffic data set despite generally contributing to the performance improvement of all the ML algorithms considered in this study by at least 20% and an error reduction of at least 18.97%.

This research is limited in terms of the study area, and the result cannot be generalized outside of the UK as some of the inherent conditions may not be similar elsewhere. Additionally, only the ML algorithms commonly used in literature are considered in this research, therefore, leaving out a few other ML algorithms.

This study reinforces the belief that the traffic data set has a significant effect on improving the performance of air pollution ML prediction models. Hence, there is an indication that ML algorithms behave differently when trained with a form of traffic data set in the development of an AQ prediction model. This implies that developers and researchers in AQ prediction need to identify the ML algorithms that behave in their best interest before implementation.

The result of this study will enable researchers to focus more on algorithms of benefit when using traffic data sets in AQ prediction.

Effective procurement of infrastructure is linked to the attainment of the sustainable development goals set by the United Nations. While the capacity of organisations is generally thought to be related to organisational performance, there is a lack of empirical insights concerning the contribution of procurement capacity of public organisations towards the attainment of procurement objectives in infrastructure procurement. Thus, it is unclear which aspects of the capacity of public procurement organisations contribute the most to the attainment of procurement objectives in the procurement of infrastructure. This research sought to address this gap.

The research used a survey of public procurement professionals which yielded 590 responses.

Exploratory factor analysis of 23 organisational capacity items revealed three components of organisational procurement capacity: “management of the procurement process”; “human and physical resources”; and “financial resources and management”. Multiple regression modelling of the relationship between the components and the attainment of 12 procurement objectives further reveals that there is a significant positive relationship between the three components and all the objectives. However, “management of the procurement process” emerged as the greatest contributor to the attainment of seven objectives, whereas “human and physical resources”, and “financial resources and management” were the greatest contributor to the attainment of one objective and four objectives, respectively.

The study provides strong empirical justification for investment in the development of procurement capacity of public agencies involved in procurement of infrastructure. Furthermore, procurement capacity development of specific capacity components can be prioritised based on the relative contribution of capacity components to the attainment of desired procurement objectives. This should be useful to government policymakers as well as multilateral organisations that fund infrastructure and procurement reforms in various countries.

Amidst all solutions posited to address sustainable construction practices in Nigeria, the implementation plans are repudiated by sustainable barriers. This study examines and confirms the strategy with the most significant impacts on the identified barrier to sustainable construction practice (SCP).

The study deployed a questionnaire survey to evaluate the perspective of 100 construction actors on the barriers and strategies of sustainable construction practice in Nigeria. Factor Analysis was employed to categorize key barriers and strategies into their underlying clusters for further analysis. Partial least squares-structural equation modelling (PLS-SEM) was used to confirm the construct's significant relationship and magnitude, thereby establishing the strategies with the highest impacts on the barriers to sustainable construction practices.

The findings revealed three clusters of barriers and four groups of strategies to SCP, including technopolitic barrier, perception and awareness barrier and sociocultural barrier. For the significant strategies, education and training, stakeholder regulation, incentive support and government and legislative support strategies were established. Overall, education and training strategy was identified as the most dominant and effective strategy to mitigate the barriers of SCP in Nigeria.

The paper establishes education and training as the key strategy to achieving sustainable quest in the AEC industry. The practical implication is that policymakers, educators and professional bodies can harness sustainable knowledge transfer through education and training to improve sustainable construction practices in Nigeria.

This study aims to examine facility management practices in the Nigerian healthcare sector, exploring approaches and identifying challenges facing effective healthcare facilities management. The purpose is to contribute to the development of a framework for enhancing healthcare facility management efficiency in Nigeria.

The study employs a sequential in-depth exploratory qualitative research approach. The data collection involved conducting semi-structured interviews with 15 facility managers from diverse healthcare organisations in Nigeria. The qualitative data collected were analysed using thematic analysis.

The study reveals scheduled, unscheduled and mixed approaches as the three facility management approaches used in Nigeria. It also substantiates the underdeveloped nature of facility management in Nigeria's healthcare sector, exacerbated by challenges such as socioeconomic, operational, technological and regulatory challenges.

The study uncovers systemic issues affecting have attainment of Sustainable Development Goal 3 (Good Health and Well-being) and advocates for a comprehensive approach to enhance healthcare infrastructure, contributing to improved health outcomes and sustainable development.

This research uniquely uncovers the hidden challenges facing effective healthcare facility management in Nigeria, providing a foundation for stakeholders to formulate solutions and rescue the struggling state of healthcare facilities in the country.

Clients in Nigeria have continuously questioned the quality of services being rendered by architectural firms in building projects. This study aims to investigate the areas of service responsible for determining client satisfaction.

The study uses questionnaire for data collection on perceived service quality and indicators of clients’ satisfaction.

The results of descriptive statistics suggest that efficient analysis and compliance with client brief along with buildability, flexibility and comprehensiveness of the design are the main technical determinants of clients’ satisfaction. Management measures for engendering clients’ satisfaction include team communication and collaboration as well as regular site visits when required. The study established a significant relationship between the perceived service quality and client satisfaction. At technical level, economical design and compliance with budget, buildability, optimal and error-free design and timely delivery have significant correlation with the perception of service quality, which could engender client satisfaction. At management level, collaboration and coordination, integrity and trust, regular site visits and project management knowledge and skills had significant relationships with perceived service quality.

To improve overall client satisfaction, architects are expected to focus on these factors in the process of service delivery. Architects’ expertise and skills can be further harnessed through continuous training and understanding of the project environment.

To foster effective implementation of building information modelling (BIM), it is guided by standards and protocols that require files naming in a format, containing a string of letters and digits in a tightly defined manner, which is perceived to be time-consuming, error-prone and serves as a barrier to BIM adoption. This paper aims to present a BIM-based plug-in solution (Auto-BIMName) that facilitates automated naming in compliance with BIM standards.

The Auto-BIMName portal has an information management system (IMS) for generating a master information delivery plan (MIDP), which serves as pre-requisites to effective file naming. Once the naming schema is implemented through text input controls for a project name, volume, level and number, the Revit plugin communicates with its IMS to fetch the name string or concatenate the string in line with the ISO 19650 convention, where the IMS is unused. The system was validated through a simulated collaborative project.

System testing and evaluation confirmed that the Auto-BIMName will ease the process of file naming, thereby facilitating collaboration efficiency, naming consistency across project teams and lifecycle stages, ease of file naming, time-saving and inducement for BIM implementation, etc. By linking information from MIDP in the BIM execution plan, the platform enhanced information management processes and improved coordination across project teams and lifecycle stages.

Apart from demonstrating how the automated naming platform enhances project performance, information management and coordination, the paper provides a practical demonstration of how the construction industry will benefit from enhanced digitalisation and process automation.

A major challenge for foreign lenders in financing public private partnerships (PPP) infrastructure projects in an emerging market (EM) is the bankability of country-related risks. Despite existing studies on country risks in international project financing, perspectives of foreign lenders on bankability of country-specific risks in an EM is yet to be explored. Hence, using a mixed methodology approach, three private finance initiatives/PPP projects in Sub Saharan Africa (Nigeria) were used to investigate political risk, sponsor, concession and legal risks in PPP loan applications. The paper aims to discuss these issues.

The study adopted mixed methodological approach comprising focus group discussions and analysis of loan documents obtained from foreign project lenders, in addition to the questionnaire survey distributed to local and international project financiers with experiences in PPPs within Nigeria.

Results identified seven topmost bankability criteria for evaluating country-related risks (political risk, sponsor, concession and legal risks) in EM PPPs. In addition, a “Risk and Bankability Framework Model” was developed from the study presenting critical parameters for gaining foreign funding approval for EM’s PPP loan applications.

Since the study only explored bankability of PPPs in Sub Saharan Africa with the exclusion of other geographical regions, the proposed framework model should be taken in context of EMs as a mind-map for foreign lenders and local private investors seeking to finance PPPs in an EM.

Results from the study represent critical parameters for winning foreign loan approval for PPP infrastructure projects within an EM context.

Study proposed “Risk and Bankability Framework Model” relevant for evaluating PPP loan applications at the pre-approval stage for EM PPPs.

Although the UK Guarantee Scheme for Infrastructures (UKGSI) was introduced in 2012 to address the huge financing gap for critical infrastructures, PFI sponsors have so far guaranteed only few projects. Many stakeholders in the project finance industry have blamed this situation on lack of general understanding of strategies for harnessing the benefits of the government guarantee scheme. The purpose of this paper is to investigate the perspectives of UK’s PFI/PPP stakeholders on critical factors influencing approval for government guarantees using the UKGSI as a focal point.

Using a mixed methodology approach, this study identified 26 important criteria used in evaluating government guarantee applications through focus group discussions with PFI stakeholders. The identified criteria were then put in questionnaire survey to 195 respondents within the UK PFI/PPP industry.

Through factor analysis, five critical factors determining successful government guarantee application were unravelled. These include: compliance with UK National Infrastructure Plan; demonstration of project bankability and risk management; value for money; proof of projects’ dependence on government guarantee; and certainty of planning commission’s approval.

Results of this study will facilitate an in-depth understanding of critical factors necessary for accessing government guarantee scheme for PFI/PPPs, while also improving the bankability of potential PFI projects.

The construction industry has embraced building information modelling (BIM) as a practical methodology towards digitalisation. However, critics believe BIM has reached a plateau in addressing distinctive construction challenges. As a result, literature has seen an increase in the development and use of BIM-based plugins. Overall, the plugins have been critical in delivering custom-built solutions to longstanding construction challenges. The purpose of this study is to empirically investigate this trend and the potential barriers undermining the wider development of BIM plugins, by that contributing to a stimulating research topic and a growing knowledge gap.

Methodologically, this study used a quantitative approach to collect data through a carefully designed questionnaire. This study achieved a sample size of 39 experts who have been involved in developing, experimenting and publishing BIM-based plugins for specific construction activities.

The findings led to the identification of the key barriers to using BIM-based plugins and the identification of the key strategies to overcome them across the three situational awareness (SA) phases. Results also suggest that the development and use of plugins are destined to increase, and the research community can now rely on the insights of this paper as a departure point to address the technological plateau in BIM-related research.

To the best of the authors’ knowledge, this is the first study to empirically identify and assess the barriers undermining the wider development of BIM-based plugins. This study contributes to theory by building on SA, by challenging existing wisdom and fostering new knowledge around strategies to overcome the evaluated barriers.

The decisions of contractors could impact the reduction of construction carbon footprint. These decisions are linked to the belief of contractors which equally affects how they behave while delivering projects. This study aims to investigate the behavioural tendencies of contractors that could lead to carbon minimisation during the execution of construction projects.

An industry survey was performed amongst 41 UK construction professionals. Spearman’s correlation and factor analysis were used to analyse the data.

The result of the Spearman’s correlation gave rise to 14 contractors’ carbon reduction behaviour (CCRB) variables and their factor analysis yielded two distinct factors, namely, contractors’ consummate carbon reduction behaviour and contractors’ pragmatic carbon reduction behaviour. The findings suggest that in the UK, contractors are willing to take voluntary practical steps to decrease the carbon footprint of construction projects.

This finding might be unexpected to construction stakeholders, especially construction clients who may believe that infusing strict carbon reduction obligations in contracts is sufficient in nudging contractors to lessen the carbon impact of projects.

The study attempted to quantitatively derive CCRB, thereby extending the breadth of knowledge in the construction carbon reduction domain.

Due to the practical complexity and fragmented nature of the construction industry, digitalisation, like other innovations, is not easily achieved. This study aims to explore organisational influences on digitalisation within construction firms.

The study uses structured open-ended questions as a data collection tool for a qualitative investigation. The qualitative approach enabled participants to express their inputs and maximise the diversity of data, offering new insights and discussions that are distinct from previous works.

Construction professionals from 22 organisations provided their perspectives on digital transformation and their organisations. Under four constructs – structure, culture, leadership and internal processes, findings uncovered 16 determinants critical to digitalisation in construction firms. The study offers a theoretical perspective supported by empirical data to explore the complex dynamics and internal interactions of organisational influence on the uptake of digitalisation in the construction industry.

This paper offers arguments from a theoretical lens by applying the organisational influence model and capturing the variables under each construct in an exploratory manner to highlight the reasoning behind the low digital uptake in construction firms. This research aids academia and practice on the pressure points responsible for enhancing, or undermining, digital uptake in construction firms at an organisational level.

This paper aims to identify and analyse the factors affecting the selection of effective cost control techniques in the UK construction industry and assess their importance. The study examines these key areas; the factors that have significant impacts on cost overruns, the most effective cost control techniques and the factors for selecting cost control techniques for a project.

The study relies on a mixed-method research approach; a qualitative exploration of the most effective cost control techniques and the factors affecting the selection of cost control techniques, followed by a questionnaire survey and follow-up interviews. Relative importance index (RII) is used for ranking the factors.

The budgeting technique is ranked first with-0.821RII, followed by cost forecasting-0.800RII and cashflow monitoring-00.733RII, as the most effective cost control techniques. On factors that influenced the choice of the techniques used, cost information/cost-related factors are ranked first with-0.611RII, followed by the size of the company-0.509RII and the effectiveness of the technique-0.572RII.

Although the scope of the study was limited to the UK construction industry, the results could be interpreted for critical learning in other developed/developing countries.

Identifying and ranking the factors affecting the selection of effective cost control techniques in the UK construction industry has been the focal point of this study. The study also proposes a simple but effective model which can be used for critical learning on mitigating cost overruns and the effective use of cost control techniques in the construction industry.

Small- and medium-sized enterprises (SMEs) within the construction sector are highly vulnerable to disruptions caused by political and economic decisions or even pandemics. This study evaluated the current operations of selected SMEs providing engineering design and consultancy services against Toyota Production System (TPS) lean tool. The purpose is to juxtapose SME operations and processes with TPS to ascertain the level of their operations conformity to the established TPS lean thinking tool.

This study used a qualitative data collection and analysis approach to evaluate the current processes of participating SMEs against Liker's 14 management principles of TPS. The data collected were analysed using thematic analysis to identify patterns and themes that emerged from the qualitative data.

The analysis revealed that focus on short-term goals, immediate profit and duplication of effort resulting from insufficient collaboration is currently creating waste in participating SMEs' operations. Hence, the implementation of TPS was recommended as a lean tool and a framework based on TPS lean tool was developed for improving the operations of SMEs.

The study is limited to SMEs operating only as consultants providing project planning design within the construction industry. Data collection is limited to qualitative even though observations would improve the outcome of the study.

The study advances contemporary issues in promoting lean implementation in construction sector and developed an improved framework based on the TPS to enhance the performance of SME construction businesses.

In the past decade, transforming key processes and activities towards a more digital nature has been the focus of most industries to exploit the associated advantages. Despite that, organisations in the construction sector are lagging the list of early adopters. The slow rate of a fundamental digital transformation is being linked to the challenges facing an effective leadership. The purpose of this paper is, therefore, to shed light on the barriers to digital leadership enactment in the construction industry. Limited research has empirically analysed and discussed these barriers to explain the low transformation rate in the existing body of knowledge.

This paper empirically investigates the perspectives of construction industry professionals acquiring various roles in the industry. This study captured the views of 38 participants, adopting a qualitative methodological approach to detail the barriers and explain the slow digital transformation rate.

Findings are grouped into five themes: leadership characteristics, management and organisational issues, resource constraints, technological issues and risk perceptions. The findings are helpful to business leaders, researchers, trainers and educators to develop measures to encourage leaders in the industry to be at the forefront of digital transformation in their organisations.

Literature, however, is discreet in reflecting the challenges and barriers facing today's leadership in facilitating digital transformation among construction stakeholders. This paper provides insights into the variables that may be undermining wider digital adoption across the construction sector's organisations.

This study aims to investigate the various competencies a graduate should hold to prepare them for graduate building surveying roles from employers’ perspective.

This study uses a sequential exploratory mixed-method approach by informing a quantitative study with the finding from a qualitative study.

Based on exploratory factor analysis, the study found that 13 essential competencies are valued by the employers when recruiting building surveying graduates, as they are requisites for effective job performance. Personal management skills, technical surveying knowledge and knowledge of the Royal Institute of Chartered Surveyor standards are the essential competencies based on the level of variance extracted by the three components. Other competency categories include client management skills, being goal-driven and self-motivated, optimistic personality traits, strong mental resilience, building maintenance and management knowledge and time management skills, among others that are explained in the paper.

The essential competencies were dependent on maintaining a balance between knowledge, skills and personality-based competencies. Measures and approaches for gaining the essential competencies, as well as their level of significance, are further discussed. The study will be of significant benefits to employers of graduate building surveyors, academic institutions that are seeking to improve their graduate employability, as well as students who are preparing for the world of work.

Master information delivery plan (MIDP) is a key requirement for building information modelling (BIM) execution plan (BEP) that enlists all information deliverables in BIM-based project, containing information about what would be prepared, when, by who, as well as the procedures and protocols to be used. In a well-conceived BEP, the MIDP facilitates collaboration among stakeholders. However, current approaches to generating MIDP are manual, making it tedious, error-prone and inconsistent, thereby limiting some expected benefits of BIM implementation. The purpose of this study is to automate the MIDP and demonstrate a collaborative BIM system that overcomes the problems associated with the traditional approach.

A BIM cloud-based system (named Auto-BIMApp) involving naming that automated MIDP generation is presented. A participatory action research methodology involving academia and industry stakeholders is followed to design and validate the Auto-BIMApp.

A mixed-method experiment is conducted to compare the proposed automated generation of MIDP using Auto-BIMApp with the traditional practice of using spreadsheets. The quantitative results show over 500% increased work efficiency, with improved and error-free collaboration among team members through Auto-BIMApp. Moreover, the responses from the participants using Auto-BIMApp during the experiment shows positive feedback in term of ease of use and automated functionalities of the Auto-BIMApp.

The replacement of traditional practices to a complete automated collaborative system for the generation of MIDP, with substantial productivity improvement, brings novelty to the present research. The Auto-BIMApp involve multidimensional information, multiple platforms, multiple types and levels of users, and generates three different representations of MIDP.