BIM adoption and implementation for architectural practices

Potential features of building information modeling (BIM) for application of project management knowledge areas in the construction industry

The construction industry (CI) plays a vital role in infrastructure development and improves the socio-economic status with employment opportunities and contribution to gross domestic progress (GDP) of countries. However, its productivity has diminished in recent years due to increasing complexities in construction projects (CPs) and lack of adoption of novel technologies such as Building Information Modeling (BIM). Also, there is a significant need of polishing the capabilities of construction practitioners to meet the project requirements in agreement with project management knowledge areas (PMKAs). This study, therefore, focused on identification and evaluation of factors necessary for measurement of extent of application of PMKAs. Subsequently, noteworthy features of BIM helpful for enhancing the capabilities of project managers (PMs) in application of PMKAs were identified from literature. A total of thirty-three factors for measurement of extent of application of PMKAs and sixty-six features of BIM helpful in enhancing the capabilities of PMs in application of PMKAs were found. The detailed study and analysis of these ninety-nine factors with the help of previous studies suggested that extent of application of PMKAs is measured with three sub-tasks i.e., plan, manage/develop, and monitor/control. In addition, by virtue of remarkable features and services of BIM, it helps in enhancing the capabilities of PMs in applying PMKAs: project integration, scope, cost, time, quality, resource, communications, procurement, risk, safety, and stakeholder management.

Side-by-Side Comparison of Human Perception and Performance Using Augmented, Hybrid, and Virtual Reality

Alternative reality (XR) technologies, including physical, augmented, hybrid, and virtual reality, offer ways for engineered spaces to be evaluated. Traditionally, practitioners (such as those designing spacecraft habitats) have relied on physical mockups to perform such design evaluations, but digital XR technologies present several streamlining advantages over their physical counterparts. These digital environments vary in their level of virtuality, and consequently have different effects on human perception and performance, with respect to a completely physical mockup environment. To date, very little has been done to characterize and quantify such differences in human perception and performance across XR environments of equal fidelity for the same end application. Here, we show that perception and performance in the virtual reality environment most closely mirror those in the physical reality environment, as measured through volumetric assessment and functional task experiments. These experiments required subjects to judge the dimensions of 3D objects and perform operational tasks presented via checklists. Our results highlight the potential for virtual reality systems to accelerate the iterative design of engineered spaces relative to the use of physical mockups, while preserving the human perception and performance characteristics of a completely physical environment. These findings also elucidate specific advantages and disadvantages to specific digital XR technologies with respect to one another and the physical reality baseline. Practitioners may inform their selection of an XR modality for their specific end application based on this comparative analysis, as it contextualizes the niche for each technology in the realm of iterative design for engineered spaces.

Beneficial Effects of 3D BIM for Pre-Empting Waste during the Planning and Design Stage of Building and Waste Reduction Strategies

The use of various tools for construction waste management throughout the planning and design (P&D) stage has several advantages. According to some research, building information modelling, or BIM, could be a valuable tool for predicting waste. This paper discusses how BIM could be used for pre-empting waste and reducing the course of the planning and design process of constructing a building. In Malaysia, a questionnaire survey of 340 construction experts was undertaken. Simultaneously, a regression analysis was carried out in order to determine the impact of BIM on the management of construction waste during the planning and design stage. This research could help many stakeholders in the construction industry to recognise various aspects of waste management, beginning with the planning and design stage of a project, which can be represented by designing a model that can be applied to mitigate waste during the construction of a building.

Integrating building information modelling for improving facility management operations: a fuzzy synthetic evaluation of the critical success factors

Purpose

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.

Design/methodology/approach

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).

Findings

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.

Practical implications

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.

Originality/value

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.

BIMp-Chart—A Global Decision Support System for Measuring BIM Implementation Level in Construction Organizations

Building Information Modeling (BIM) is recognized as one of the most significant technological breakthroughs in the Architecture, Engineering, and Construction (AEC) industry. The pace of implementation of BIM in AEC has increased during the past decade with an enhanced focus on sustainable construction. However, BIM implementation lags its potential because of several factors such as readiness issues, lack of previous experience in BIM, and lack of market demand for BIM. To evaluate and solve these issues, understanding the current BIM implementation in construction organizations is required. Motivated by this need, the main objective of this study is to propose a tool for the measurement of BIM implementation levels within an organization. Various sets of indexes are developed based on their pertinent Critical Success Factors (CSFs). A detailed literature review followed by a questionnaire survey involving 99 respondents is conducted, and results are analyzed to formulate a BIMp-Chart to calculate and visualize the BIM implementation level of an organization. Subsequently, the applicability of the BIMp-Chart is assessed by comparing and analyzing datasets of four organizations from different regions, including Qatar, Portugal, and Egypt, and a multinational organization to develop a global measurement tool. Through measuring and comparing BIM implementation levels, the BIMp-Chart can help the practitioners identify the implementation areas in an organization for proper BIM implementation. This study helps understand the fundamental elements of BIM implementation and provides a decision support system for construction organizations to devise proper strategies for the effectual management of the BIM implementation process.

Model Ownership and Intellectual Property Rights for Collaborative Sustainability on Building Information Modeling

The concept of building information modeling (BIM) requires multidisciplinary collaboration and generates the problem of intellectual property protection for the creator of the model element. Therefore, this research aimed to determine the model ownership factors and intellectual property rights (IPRs) for collaborative sustainability on BIM practices in Indonesia. This research used the qualitative approach of primary data, and questionnaires were distributed to parties involved and experienced with BIM-based projects in Indonesia. The research adopted descriptive and inferential statistics to analyze data obtained from respondents. The results showed that the party that produces the model element is the main factor that owns the model and the IPRs. Meanwhile, the employer will have the right to own the model of BIM in the form of a license, with limited use only for operations, maintenance, and marketing, and they do not have the right to reuse the model for the construction of future projects. This research is expected to contribute to the body of knowledge and provide recommendations for policymaking in construction contracts to better manage BIM-based projects.

Identification of Critical Success Factors (CSFs) of BIM Software Selection: A Combined Approach of FCM and Fuzzy DEMATEL

The architecture, engineering, and construction (AEC) industry has seen a significant rise in the adoption of Building Information Modeling (BIM) in the last few years. BIM software have launched with numerous robust capabilities and features to satisfy the ever-demanding needs of the AEC industry. Various factors are associated with the selection of BIM software depending on a company’s requirements and constraints. BIM software selection is a daunting process as most AEC industries are unaware of the factors to consider when making this important decision. This study focuses on identifying the critical success factors (CSFs) and their interrelationship for efficient BIM software selection. For this research, a questionnaire was developed and disseminated in two stages in India, the United States of America (U.S.A.), Germany, and the United Kingdom (U.K.). In the first stage, a total of twenty-six identified CSFs were analyzed with the factor comparison method (FCM) to identify the top fifteen CSFs. Subsequently, the identified top fifteen CSFs were further assessed by implementing Fuzzy DEMATEL to categorize them into cause-and-effect groups based on respective influence strength, depicted with a causal diagram. Out of fifteen CSFs, five and ten factors were grouped into the cause group and effect group for BIM software selection, respectively. The most important factors were identified as software functionality, BIM adoption strategies and processes, interoperability, staff competencies, BIM standards and regional regulations. The outcome of this research can help BIM user companies improve their BIM software selection framework and decision-making process during purchasing software.

BIM Adoption in the Cambodian Construction Industry: Key Drivers and Barriers

Critical issues surrounding the promotion and adoption of building information modeling (BIM) for construction projects are largely country-specific due to contextual socio-cultural, economic, and regulatory environments impacting construction operations and outcomes. There is little information on BIM adoption issues specific to the Cambodian construction industry (‘the industry’). This paper aims to narrow existing knowledge by investigating key drivers for, and barriers to the adoption of BIM in the industry. Using descriptive survey method, feedback was received from contractors and architects that were registered with their respective trade and professional associations in the industry. The multi-attribute method and the Statistical Package for the Social Sciences (SPSS)-based Kendall’s coefficient of concordance (W) test were used to analyze the empirical datasets. Results showed that out of the 13 significant drivers identified in the study, the most influential comprised the technology’s ability to remarkably enhance project visualization and schedule performance; this is followed by awareness that the technology is redefining how project information is created and shared among stakeholders and therefore the future of the industry that cannot be ignored. On the other hand, the most constraining barrier to the adoption of the technology, out of 19 significant barriers, related to strong industry resistance to change, especially reluctance to change from 2D drafting to 3D modeling; other highly rated barriers included the high initial cost of the software and the shortage of professionals with BIM skills. Implementation of the study findings could support greater uptake of the technology and the leveraging of its key benefits to improving project success and the growth of the Cambodian construction industry, as well as those of other developing economies that share similar socio-cultural, economic, and regulatory environments.

Organizational Factors That Drive to BIM Effectiveness: Technological Learning, Collaborative Culture, and Senior Management Support

Senior management support is a key dynamic capacity for design companies in the architecture, engineering, and construction (AEC) industry, given the fact that they must identify changes in the competitive environment, which are increasingly becoming more and more technological. In addition, senior management support is obliged to react in the most efficient and effective way. Currently, the project design teams that have adopted building information modeling (BIM) are subject to constant changes in the technological environment, of which the activity is influenced by the behavior of senior management support. This research focuses on this issue by analyzing the role played by the variables of technological learning, collaborative culture, and support provided by senior management as precedents of BIM technology effectiveness. The data set has been obtained from 92 AEC companies in Spain. Using partial least squares (PLS), this research finds evidence of the previously mentioned relationships and the existence of partial mediation effects generated by technological learning and collaborative culture within the support of senior management in BIM technology effectiveness. In addition, this model achieves an appropriate level of predictive validation to explain BIM technology effectiveness in engineering project designs. The results highlight that senior management support needs to promote a technological learning and collaborative culture to improve the technological capabilities. The contribution and original value of the paper is to provide empirical evidence that the effectiveness of BIM factors in project design teams is influenced by the behavior of top management support.

Lean Practices Using Building Information Modeling (BIM) and Digital Twinning for Sustainable Construction

There is a need to apply lean approaches in construction projects. Both BIM and IoT are increasingly being used in the construction industry. However, using BIM in conjunction with IoT for sustainability purposes has not received enough attention in construction. In particular, the capability created from the combination of both technologies has not been exploited. There is a growing consensus that the future of construction operation tends to be smart and intelligent, which would be possible by a combination of both information systems and sensors. This investigation aims to find out the recent efforts of utilizing BIM for lean purposes in the last decade by critically reviewing the published literature and identifying dominant clusters of research topics. More specifically, the investigation is further developed by identifying the gaps in the literature to utilize IoT in conjunction with BIM in construction projects to facilitate applying lean techniques in a more efficient way in construction projects. A systematic review method was designed to identify scholarly papers covering both concepts “lean” and “BIM” in construction and possibilities of using IoT. A total of 48 scholarly articles selected from 26 construction journals were carefully reviewed thorough perusal. The key findings were discussed with industry practitioners. The transcriptions were analyzed employing two coding and cluster analysis techniques. The results of the cluster analysis show two main directions, including the recent practice of lean and BIM interactions and issues of lean and BIM adoption. Findings revealed a large synergy between lean and BIM in control interactions and reduction in variations, and surprisingly there are many uncovered areas in this field. The results also show that the capability of IoT is also largely not considered in recent developments. The number of papers covering both lean and BIM is very limited, and there is a large clear gap in understanding synergetic interactions of lean concepts applying in BIM and IoT in specific fields of construction such as sustainable infrastructure projects.

BIM ADOPTION IN THE AEC/FM INDUSTRY – THE CASE FOR ISSUING BUILDING PERMITS

BIM adoption is a complex process and relatively little information exists on the BIM adoption processes of public authorities. This research aims to address this gap by examining how a contemporary public authority is approaching BIM adoption for their building permitting process. Firstly, a systematic literature review was carried out to understand extant descriptions of BIM adoption processes and the factors affecting adoption success. This resulted in the derivation of a generic BIM adoption process and the classification of factors that affect BIM adoption with reference to the Technology Organization and Environment (TOE) framework. The case of the BIM adoption process and the factors affecting its implementation in a contemporary public authority were then analysed in terms of the generic adoption process and factor classification derived from the literature. The findings reveal the planning strategies and execution steps for BIM adoption and the factors affecting them. This study provides a systematic approach to investigating BIM adoption in a public authority. It contributes to the understanding of BIM adoption processes and factors affecting them and is anticipated to be useful for AEC/FM professionals in understanding and facilitating successful BIM adoption.

Diffusion of Building Information Modeling in Building Projects and Firms in Singapore

Building information modeling (BIM) implementation has been mandated in building projects in Singapore, but a wider adoption is still desired. This study aims to investigate the factors influencing BIM diffusion and examine how the factors influence firms with different project roles, firm sizes, and BIM implementation experience. The results of a pilot study, a questionnaire survey with 89 professionals, and five post-survey interviews showed that hindrances related to inadequate multi-party collaboration (whether formal or informal), conservative mindset, limited skills, costly infrastructure and training, and multi-discipline model integration were the most influential, whereas drivers associated with project leadership team’s strategic consensus, multi-disciplinary design coordination, training, and government regulations were top-ranked. Subgroup analyses between pairs of firms with different characteristics revealed that while construction firms and less experienced stakeholders tended to underestimate BIM implementation difficulties, small-medium contractors might underestimate relevant benefits. The findings and managerial recommendations help different types of firms prioritize resources to overcome hindrances, seize opportunities (such as gaining a competitive edge from BIM practical experience), and obtain support from workers executing BIM daily. With major stakeholders’ recognition and implementation, BIM can be successfully diffused in building projects and firms. The Singapore government and other countries can refer to this study when further issuing BIM diffusion policies.

The business value of BIM for asset owners: a cross-case analysis

Purpose

The purpose of this paper is to investigate and identify the activity systems that drive building information modelling (BIM) business value in asset management (AM). The utilisation of BIM has widened in scope, functionality, flexibility and interoperability to support the AM business process. However, research concerning BIM business value in AM has been inadequate despite its considerable potential and significance in the attainment of organisational objectives. The realisation of BIM business value requires a concerted effort by the asset owner to be able to determine and appraise the critical activities that drive business value in AM.

Design/methodology/approach

The study adopted a qualitative research approach based on a multi-case study strategy that aimed to identify the key business processes that drive BIM business value in AM. The study involved a three-stage research design using interviews and document analysis to facilitate a cross-case analysis from the perspective of the activity systems and dimensions of BIM governance.

Findings

The paper identified six critical activity systems that drive BIM business value for an asset owner: BIM strategy, contract management, lifecycle management, maintenance management, work-order management and value realisation management. The study found that the most developed activity system is the BIM strategy, and the least is value realisation management across all cases. Also, the paper points out that the most proficient BIM governance dimension is process, and the least is people across the three cases. The study noted that the ability of an asset owner to realise BIM business value has maturity undertones and that the asset owner could derive BIM business value, if the six activity systems are effectively executed and continuously improved to an advanced stage of maturity.

Originality/value

An original contribution of the study is the development of the understanding of asset owners in relation to the discovery of key activity systems that drive BIM business value in AM. Another significant contribution of this paper is the demonstration of a novel approach to evaluate organisational maturity of asset owners from the perspectives of the activity systems and BIM governance dimensions of people, process and technology.

Building Information Modelling Feasibility Study for Building Surveying

Despite the advancements in digital technologies, the current building design examination practice is 2D and paper-based, and a large number of 2D plans and drawings need to be collated and interpreted to examine if the proposed designs comply with building regulations. Subsequently, it is prone to human errors that make sustainable and consistent design difficult. Although Building Information Modelling (BIM) is recognised as a means to transform the current practice into a more sustainable and productive practice, BIM has rarely been adopted in building design examination. This research aims to identify the reasons for the low uptake of BIM and to examine the feasibility of BIM for building design examination through a focus group interview and workshop. A lack of proper BIM training is identified as the most critical barrier to adopting BIM. Building design examiners indicate that BIM adoption requires consistent efforts with empirical errors, since the existing work processes are not flexible enough to embrace BIM instantly without proper BIM training. An average of three days can be saved by using BIM for a building regulations check. This research revealed that BIM is feasible for building regulation checking, and the low uptake is mainly caused by a lack of awareness of the BIM capabilities.

Evaluating the Impact of Building Information Modeling on the Labor Productivity of Construction Projects in Malaysia

Globally, the construction sector suffers from low productivity levels due to a large proportion of the workforce consisting of low-skilled laborers. There is a significant need to move from traditional approaches to advanced methods, such as Building Information Modeling, in order to integrate design and construction workflows with the aim of improving productivity. To encourage more organizations, especially small to medium enterprises (SME), to transition to building information modeling (BIM), clear and convincing benefits are key to ensuring the viability of the BIM implementation process. This study presents the findings obtained through a quantitative structured close-ended survey questionnaire distributed among BIM-pioneering construction companies in terms of the three factors of the project, organization, and individual. The results suggest that BIM factors related to the individual supervision category have the highest positive impact, while the Individual (Labor) factor has the most negative impact on labor productivity. The study concludes by recommending the incorporation of BIM in the Individual (Supervision) category to improve the low construction productivity. A practical recommendation for building regulatory bodies is to develop comprehensive credential training programs with the greater utilization of BIM-related design and construction management to diminish the negative impact of Individual (Labor) factors and thus improve labor productivity in the construction sector.

Investigating Critical Non-Value Adding Activities and Their Resulting Wastes in BIM-Based Project Delivery

Building information modeling (BIM) is deemed a useful innovation for technological and sustainable development of the economy. It is partially used in building projects in Singapore, although its implementation is mandated by the local government, resulting in various wastes and suboptimal productivity. Little is known about how non-value adding (NVA) BIM implementation practices were perceived by the local practitioners and how these practices affected productivity in building projects in Singapore. This study aimed to identify critical NVA BIM implementation activities and investigate the criticality of their resulting wastes to productivity performance in the current project delivery process in Singapore. The results from a questionnaire survey of 73 experts and four post-survey interviews in Singapore revealed that 38 NVA BIM implementation activities were deemed critical, among which “lack of involvement by contractors to contribute site knowledge” in the design development phase was ranked top; the top five resulting wastes with highest criticalities were reworks/abortive works, requests for information, design deficiencies, defects, and waiting/idle time. Furthermore, an independent-samples t-test was conducted to examine whether construction firms and upfront stakeholders perceived the NVA activities differently. It was discovered that most NVA activities exerted more agreement from construction firms than upfront non-construction organizations. Six strategies were proposed to mitigate the NVA activities and wastes. The findings can help practitioners identify weak areas of their BIM implementation practices and prioritize resources accordingly to eliminate the wastes and foster sustainability, as well as help overseas project teams, with minor adjustments, customize their own NVA BIM implementation activities and management strategies.

Reducing Critical Hindrances to Building Information Modeling Implementation: The Case of the Singapore Construction Industry

The Singaporean government has made building information modeling (BIM) implementation mandatory in new building projects with gross floor areas over 5000 m2, but the implementation is still plagued with hindrances such as lacking project-wide collaboration. The purposes of this study are to identify critical factors hindering BIM implementation in Singapore’s construction industry, analyze their interrelationships, and identify strategies for reducing these hindrances. The results from a survey of 87 experts and five post-survey interviews in the Singaporean construction industry identified 21 critical hindrances, among which “need for all key stakeholders to be on board to exchange information” was ranked top. These hindrances were categorized into lack of collaboration and model integration (LCMI), lack of continuous involvement and capabilities (LCIC), and lack of executive vision and training (LEVT). LEVT and LCIC contributed to LCMI; LEVT caused LCIC. The proposed framework implying the key hindrances and their corresponding managerial strategies can help practitioners identify specific adjustments to their BIM implementation activities, which enables to efficiently achieve enhanced BIM implementation. The hindrances identified in this study facilitate overseas BIM implementers to customize their own lists of hindrances.

Enabling sustainable built heritage revitalisation from a social and technical perspective

Purpose

This study aims to investigate built heritage revitalisation projects in Hong Kong through a case study.

Design/methodology/approach

For this study, a representative built heritage revitalisation project in Hong Kong is selected study revitalisation in practice in Hong Kong. The case study adopts content analysis as the main method of analysis. It involves counting keywords, comparing content, categorising content patterns and interpreting the content of documents.

Findings

The findings reveal that in the revitalisation process, there is significant fragmentation in collaboration among government sectors and in conservation documentation and that an effective knowledge sharing mechanism and valid public engagement is needed. A conceptual framework of social network-enabled building information modelling (BIM) platform is proposed to enhance knowledge sharing and cross-sector collaboration.

Practical implications

The conceptual framework developed based on the case study is expected to bring practical implications to urban regeneration policies in Hong Kong.

Originality/value

This study views built heritage revitalisation practice as different individual projects and provides a social and technical perspective to investigate built heritage revitalisation.

Stakeholders’ expectations on building information modelling (BIM) concept in Malaysia

Purpose

The purpose of this paper is to investigate the benefits that client organisations expect from building information modelling (BIM) investment in Malaysia. Furthermore, this paper investigates the outcomes that, from the stakeholders’ point of view, the BIM approach needs to present.

Design/methodology/approach

To achieve this aim, this research employed a series of structured interviews which were conducted with representatives from client construction organisations in Malaysia. A structured questionnaire, containing 34 items, was used to collect data from respondents.

Findings

This research’s findings indicated that increased project revenue is one of the most expected benefits of BIM investment. In addition, it has been revealed that the Malaysian construction industry has implemented the BIM approach to project management. Furthermore, the great deal of acceptance among industrial players has been significantly positive, and thereby it can be concluded that the implementation of BIM in Malaysia has lots of potential.

Originality/value

This paper’s finding offers great knowledge, policy, and academic contribution, acknowledging the development of BIM’s implementation within the Malaysian construction industry.

The use of smart technologies in enabling construction components reuse: A viable method or a problem creating solution?

The exploitation of Radio Frequency Identification (RFID) for tracking and archiving the properties of structural construction components could be a potentially innovative disruption for the construction sector. This is because RFID can stimulate the reuse of construction components and reduce their wastage, hence addressing sustainability issues in the construction sector. To test the plausibility of that idea, this study explores the potential pre-conditions for RFID to facilitate construction components reuse, and develops a guidance for promoting their redistribution back to the supply chain. It also looks at how integrating RFID with Building Information Modelling (BIM) can possibly be a valuable extension of its capabilities, providing the opportunity for tracked components to be incorporated into new structures in an informed, sound way. A preliminary assessment of the strengths, weaknesses, opportunities and threats of the RFID technology is presented in order to depict its current and future potential in promoting construction components' sustainable lifecycle management, while emphasis has been laid on capturing their technical, environmental, economic and social value. Findings suggest that the collection of the right amount of information at the design-construction-deconstruction-reuse-disposal stage is crucial for RFID to become a successful innovation in the construction sector. Although a number of limitations related to the technical operability and recycling of RFID tags seem to currently hinder its uptake for structural components' lifecycle management, future technological innovations could provide solutions that would enable it to become a mainstream practice. Taken together these proposals advocate that the use of RFID and its integration with BIM can create the right environment for the development of new business models focused on sustainable resource management. These models may then unlock multiple values that are otherwise dissipated in the system. If the rapid technological development of RFID capability can be allied to policy interventions that control and manage its uptake along the supply chain, the sustainable lifecycle management of construction components could be radically enhanced.

Identifying key factors for building information modelling adoption in Singapore

Building information modelling (BIM) enables firms in the architecture, engineering and construction (AEC) industry to transform the construction value chain into a technologically enhanced construction process. One of the fundamental concerns to emerge related to BIM adoption is how to implement BIM successfully. Thus, it is considered crucial to identify the key factors (KFs) that influence the success of BIM initiatives. This study is conducted to find the influence factors and also undertake an analysis in order to identify the KFs that would facilitate successful BIM adoption and implementation in Singapore. The research concluded that improved coordination, better accuracy in a faster timeframe, fewer on-site clashes and fewer change orders are the important benefits of BIM adoption. The research findings should help AEC firms to ensure the realisation of BIM adoption and implementation in the project life cycle. It should also help Singapore’s government agencies to plan properly for supporting BIM adoption and implementation in the life cycle of construction projects.

Identifying key factors for building information modelling adoption in Singapore

Building information modelling (BIM) enables firms in the architecture, engineering and construction (AEC) industry to transform the construction value chain into a technologically enhanced construction process. One of the fundamental concerns to emerge related to BIM adoption is how to implement BIM successfully. Thus, it is considered crucial to identify the key factors (KFs) that influence the success of BIM initiatives. This study is conducted to find the influence factors and also undertake an analysis in order to identify the KFs that would facilitate successful BIM adoption and implementation in Singapore. The research concluded that improved coordination, better accuracy in a faster timeframe, fewer on-site clashes and fewer change orders are the important benefits of BIM adoption. The research findings should help AEC firms to ensure the realisation of BIM adoption and implementation in the project life cycle. It should also help Singapore’s government agencies to plan properly for supporting BIM adoption and implementation in the life cycle of construction projects.