Search results

The increasing urbanization of the built environment has bolstered the need to promote green Building Information Modeling (BIM) initiative in new construction projects and the rehabilitation of old premises. This study aims to explore and examine the key benefits of the implementation of BIM and sustainability practices in the built environment.

The study gathered the worldwide perceptions of 220 survey participants from 21 countries which were analyzed using descriptive and inferential analytical methods. The identified individual benefits of green BIM were further categorized into their underlying clusters using factor analysis.

The key benefits are related to enhancing project efficiency and productivity, ensuring real-time sustainable design and multi-design alternatives, facilitating the selection of sustainable materials and components, together with reducing material wastage and project’s environmental impact, among others. The study analyzed and compared the perceptions of the diverse groups of the respondents as well.

Effective blueprints and insightful recommendations for enhancing the various stakeholders’ capacities to implement green BIM in their construction projects were put forward to achieve the aim of sustainable smart urbanization.

The study identified salient benefits of the adoption of BIM and sustainability practices. The proper integration of these concepts and the execution of the recommended useful strategies by construction stakeholders, policymakers and local authorities will enable the built environment to reap the gains of its implementation.

The construction industry has been evolving in recent years through the adoption of smart tools such as building information modeling to reduce the complexity in the construction process and optimize the project's goals. This paper aims to identify and assess the key drivers for the implementation of smart sustainable practices in the construction industry.

Inferential and descriptive statistical techniques were employed in analyzing the data collected via an international empirical questionnaire survey deployed in soliciting the perceptions of 220 construction professionals across 21 countries. Factor analysis was used to categorize the identified key drivers into their underlying clusters for further discussion. Also, the data were analyzed based on the various groups and regions of the study's respondents.

The key drivers (KDs) are related to the technical competence of staff as well as knowledge and awareness level within the industry, issues related to organizational and project's strategy and policies, availability of financial resources and development of relevant standards and policies to aid its execution among others. A comparative analysis of the perceptions of the different respondents' groups was undertaken and discussed.

The analysis of the key drivers for the implementation of smart and sustainable practices in the construction industry is expected to aid the decision-making of the relevant stakeholders as well as serve as a consultation instrument for government agencies in their design of localized policies and guidelines to aid smart and sustainable urbanization. The findings revealed the gaps in the implementation of smart and sustainable practices in various climes and organization setups and provided useful and practical strategies for addressing the current hindrances during implementation.

The study has generated valuable insights into the significant drivers that can enhance the implementation of smart and sustainable practices across regions. It is evident that synergy among the relevant stakeholders in the built environment will help accelerate the implementation of smart sustainable practices in the construction industry. The study findings have provided profound contributions to theory and research as well as to industry practice.

The purpose of this paper is to explore building information modeling (BIM) implementation and practices in developed economies by developing a benchmarking model that will enhance BIM adoption and implementation in developing countries.

The research design adopted a qualitative approach which includes the desktop review of the extant literature as well as case study reviews of ten BIM projects using an explanatory case study technique to form the foundation upon which the study proposed the model. The moving basis heuristics technique was adopted to develop the scoring system.

The BIM benchmarking model and assessment template were developed which consisted of three-level concepts modeled to aid project organizations and project team in developing countries to assess and score the level of improvement and implementation of BIM in a project. A desktop review of BIM projects in developed countries demonstrated the significant improvements and benefits possible through the implementation of the established BIM benchmarking model.

The assessment template in conjunction with the benchmarking model is useful for a comparative evaluation of similar BIM projects and benchmarking purposes. The study also discussed how current findings extends and contradicts previous findings.

The findings have provided policymakers, construction stakeholders and professional bodies in the construction industry in developing countries with valuable insights and counter-intuitive perspective that could facilitate the uptake of BIM in construction projects.

The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

The study's results are limited to the Nigeria and Hong Kong construction industries.

Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.

Some initiatives have been proposed and implemented to facilitate successful project delivery and improve coordination and collaboration in the design, construction and management phases of project development. Building information modeling (BIM) is one of those initiatives that, though recent, however, have made a significant impact on the construction industry in some countries. The paper aims to discuss this issue.

This paper aims to explore the critical success factors for BIM implementation in the architecture, engineering and construction industry of Hong Kong through a mixed research method (structured empirical questionnaire survey and expert interviews).

The most influential success factor relates to the client’s acceptance with BIM projects, proper organizational structure to support a BIM system within the company and financial aid from the government to set up the BIM system. The expert interviewees also stressed the need for willingness from project staff members to learn and utilize BIM.

This study has contributed to the establishment of more practical and effective strategies for ensuring full adoption of BIM in Hong Kong. Practical recommendations for enhancing BIM adoption in the construction industry were highlighted.

This study has established the key drivers leading to the success of BIM implementation in Hong Kong, as well as in the perspective of construction experts on how to enhance its uptake in construction projects.

Building information modelling (BIM) is a novel technological advancement in the built environment. Despite the potentials of BIM, its adoption and implementation are undermined in facility management (FM) operations. This might be because of limited information on the critical success factors (CSFs) that can enhance its adoption. The study aims to integrate building information modelling to improve facility management operation by adopting fuzzy synthetic approach for evaluating the critical success factors.

Data for the study were sourced from practising and registered facility managers within Lagos metropolis, Nigeria. The data collected were analysed using a combination of methods which include mean item score, factor analysis and fuzzy synthetic evaluation (FSE).

The factor analysis results showed that six underlying groups of CSFs would enhance the effective adoption of BIM in facility operations. The FSE results showed that out of the six groups, the three topmost important CSF grouping (CSFG) in the decision rule would enhance the effectiveness of BIM adoption for FM operations.

The result of this study provides a credible road map for facility managers, policymakers and other stakeholders in FM operations on the CSFs and CSFG required for the adoption of BIM.

Previous studies that aimed at integrating BIM into FM are limited. Hence, this study provides a broad perspective on the CSF required for BIM adoption and implementation in FM operations using the FSE approach.

Completion of abandoned public facility projects is one of the major concerns of governments struggling with budget issues. Various research studies have shown that this can only be solved with the help of the private sector. Therefore, this study aims to investigate the capacity of the private sector to complete abandoned public facility projects through the study of the Water and Wastewater Company in Iran.

The Delphi survey questionnaires, which were distributed to and responded by a panel of experts – i.e. three groups of employers of the Iranian Water and Wastewater Company, consulting agents and private sector stakeholders engaging with Water and Wastewater Company projects – identified 50 critical factors allowing the private sector to carry out abandoned facility projects. These have been categorized into four components: financial capacities, management competency, knowledge and expertise and resources and facilities. A descriptive survey method was used to determine and prioritize these factors.

The survey findings indicate that knowledge and expertise are the main important clusters of factors influencing the completion of abandoned public facility projects. The value of these results is essential in providing the sound basis for mutual trust between the private sector and the public sector for greater participation, thereby helping to complete abandoned public facility projects.

To the best of the authors’ knowledge, this is the first study attempting to investigate the capacity of the private sector to complete abandoned public facility projects through an empirical analysis of factors influencing their completion.

Building information modelling (BIM) research studies are highly contextual as the contexts provide lenses for interpreting the results. However, there has been a growing decontextualization in extant studies especially between the small and medium-sized enterprises (SMEs) and large firms; and between developed and developing countries. Albeit these contexts are all in the same construction industry, they often react differently to the same conditions. Thus, this study aims to evaluate the perceptions of firms in varying contexts of size and location on the perceived barriers to the implementation of BIM in the architecture, engineering and construction (AEC) industry.

The perceptions of 228 firms gleaned from 26 countries across the 6 continents were collated via an international empirical questionnaire survey. The data was analysed using the mean score, rank agreement analysis, Mann-Whitney U test and factor analysis.

The findings revealed the major factors impending BIM implementation in each of the contexts and a comparative analysis emphasized the difference in their perceptions. The findings underscore that there is a general digital divide as regard BIM implementation between the SMEs and large firms, and a deepening divide between the developed and developing countries.

The study has provided empirical evidence for the BIM divide in the AEC industry, which would influence the promulgation of BIM policy and transferability of best practices across varying contexts of both firm size and country level.

Privatization is a complex issue in many developing countries; therefore, it is vital to examine the obstacles that prevent its proper implementation. The goal of this study is to identify and analyze the barriers to private sector investment in the Water and Sewage Industry (WSI) and to suggest effective ways to attract the private investors to this sector.

The obstacles to private sector investment in the WSI were identified by conducting a desktop literature review and interviewing an expert panel, using the fuzzy Delphi technique. The most important barriers were identified and categorized. A structured survey was then developed and distributed to private sector investment experts. The Fuzzy Analytic Hierarchy Process (FAHP) was applied to further examine the responses and to rank the identified barriers.

The results showed that the greatest barrier to privatization is the weakness of insurance companies in controlling investment risks, and the second greatest barrier is the weakness of the country's capitalist culture. A review of recent success stories revealed that these barriers can be overcome with transparent price policies and increased interaction between the public and private sectors, which motivate private investors to invest in the WSI.

The elicitation of this study can be useful to both private and public sectors for the development of infrastructure projects, particularly for the WSI.

Despite the SMEs representing a large percentage of firms in the construction industry, there has been an under-representation of SMEs’ perspective in BIM research studies. This paper aims to systematically review the few extant studies with a view of synthesizing the findings.

Hermeneutic philosophy using the interpretivist epistemology approach with a touch of metasynthesis was adopted to critically review and analyse extant studies published over the last decade.

The findings revealed a scarcity of BIM studies in SMEs, the status of adoption, identified barriers, benefits and drivers. A conceptual model was then developed based on the literature review and theoretical lenses of innovation diffusion model, technology–organization–environment framework and institutional theory. The paper presents pertinent propositions to drive BIM in the SMEs.

This paper holistically reviews extant BIM studies from the perspective of SMEs that are the backbone of the construction industry. It synthesizes extant studies and sets scenes for further studies.