Building Information Modelling Adoption Research Articles

Assessment of building information modeling adoption in building material scheduling in Tanzania’s construction industry

The building construction industry continues to face challenges that affect project delivery, one of which is the traditional practices used for building material scheduling (BMS). Studies indicate that these practices are often inefficient and prone to errors, leading to delays, cost overruns, and low-quality work, affecting the project objectives. Building Information Modeling (BIM) presents a promising solution for addressing these challenges, proven through existing integrations. However, its adoption in BMS practices in construction is still relatively low. Therefore, this study aimed to assess BIM use in BMS in Tanzania’s building construction industry. The study adopted a quantitative research approach, and the study population of 153 registered quantity surveying firms was purposively selected. The study data was collected using online questionnaires and analyzed with the Statistical Package for Social Sciences (SPSS). The study findings indicate that traditional practices are still favored over BIM when scheduling building materials in Tanzania, with the most predominant practices being spreadsheets and paper-based methods. Additionally, findings suggest that BIM is not a new concept in Tanzania. However, its adoption in the current practices is relatively low, mainly due to insufficient expertise, training resources, and limited access to BIM software/tools. Moreover, findings indicate a significant belief that BIM can improve BMS practices. These insights can inform policymakers, industry stakeholders, and educational institutions on the necessary steps to promote BIM integration. Therefore, it is recommended that BIM adoption be prioritized by addressing these barriers to enhance project outcomes. Shifting from traditional methods to BIM will lead to more efficient and effective construction processes, making BIM's broader adoption essential for the industry's future success.

Building Information Modeling Adoption in the Palestinian Construction Industry: Influencing Factors, External Determinants, and Technology Acceptance

ABSTRACT Building Information Modeling (BIM) is a worldwide spreading technology for the Architecture, Engineering, and Construction (AEC) industry that allows for continuous modification and improvement of building models, resulting in improved quality and cost savings in the project. The study aims to investigate the adoption pattern of BIM in the Palestinian market and identify significant factors that influence the adoption process, including top management support, organizational culture, and the number of experts and technicians. A structured questionnaire was developed, distributed electronically, and 168 valid responses were received, leading to a margin error of 4.4% and a response rate of 67.2%. A model, based on the Technology Acceptance Model (TAM) was developed and partial least squares structural equation modeling (PLS-SEM) was utilized to evaluate the measurement model’s reliability and validity, test hypotheses regarding the relationships between constructs, and assess the impact of various factors on the intention to adopt BIM within the construction industry. Six external influences on acceptance are highlighted. Individual and organizational acceptance drivers are identified, including top management support, ease of use, and competitive landscape. Government policies impact adoption and results stress internal and external considerations for BIM adoption.

Investigating the adoption of building information modeling of small-medium sized organizations in the construction industry: from a configuration perspective

ABSTRACT Building Information Modeling (BIM) is considered to be one of the most promising innovations in the construction industry, and the building industry is beginning to use and benefit from it. However, the full adoption of BIM in the construction industry is still challenging as small and medium-sized organizations (SMOs) are lagging in BIM adoption. Although existing studies have explored many influencing factors of BIM adoption, most of them are focused on a single relationship and cannot explain why certain factor that works for one organization fails in others. This study aims to respond to the research gap in previous studies on BIM adoption in SMOs by highlighting the importance of the combination of influencing factors rather than single correlations, thereby clarifying the realization mechanisms of BIM adoption in SMOs. Using the qualitative comparative analysis (QCA) approach and fsQCA3.0, this study connects the factors from technological, organizational, and environmental aspects under the technology-organization-environment (TOE) framework, five configurations leading to the high BIM adoption and two configurations leading to the low BIM adoption are identified with 36 SMO cases through the configurational lens. As one of the earliest attempts to investigate SMOs’ BIM adoption decisions using the QCA method, this study expects to offer a holistic understanding of BIM adoption in SMOs and contribute to the full BIM diffusion in the construction industry by providing valuable suggestions to industry practitioners. Highlights BIM adoption in SMOs results from a combination of technological, organizational, and environmental conditions, and no necessary conditions lead to BIM adoption behavior. More than one configuration is leading to high or low BIM adoption in SMOs. Under specific contexts, BIM capability can substitute for financial capability, while financial capability will substitute for government pressure. When conditions are missing on both the technological and organizational aspects, government or market pressure alone cannot lead to BIM adoption behavior in SMOs.

Use of Building Information Modeling (BIM) to Improve Construction Management in the USA

The construction industry in the United States faces ongoing challenges related to cost overruns, project delays, and inefficiencies in project management. Building Information Modeling (BIM) has emerged as a transformative technology with the potential to address these issues by enhancing the precision, collaboration, and decision-making processes in construction management. This paper provides a comprehensive review of the application of BIM in the U.S. construction sector, with a focus on its impact on improving construction management practices. The review explores the specific ways in which BIM contributes to project success, including its ability to streamline workflows, reduce errors, and facilitate real-time collaboration among stakeholders. Through an in-depth analysis of current literature, this paper highlights the specialized functions of BIM that are particularly beneficial for construction management in the U.S., such as clash detection, 4D scheduling, and cost estimation. The paper also examines case studies that demonstrate the successful integration of BIM in large-scale projects across the country, showcasing tangible improvements in project outcomes, including reduced project timelines and enhanced cost efficiency. Additionally, the paper delves into the challenges associated with BIM adoption in the U.S., including the need for skilled personnel, the integration of BIM with existing project management systems, and the legal and contractual implications of BIM-based collaboration. These challenges are discussed alongside strategies for overcoming them, emphasizing the importance of training, standardization, and cross-disciplinary collaboration. The findings of this review suggest that the widespread adoption of BIM in the U.S. construction industry holds significant promise for enhancing project management efficiency, improving stakeholder communication, and ultimately contributing to more successful project outcomes. The paper concludes by proposing best practices for BIM implementation in construction management, aiming to guide industry professionals in leveraging this technology to its fullest potential.

BIM IMPLEMENTATION FOR HERITAGE RENOVATION THROUGHOUT PROJECT LIFECYCLE: CURRENT USE, BENEFITS, AND BARRIERS

Introduction: Building Information Modeling (BIM) has garnered significant attention due to advancements in sophisticated technologies and methods. However, a comprehensive review of the existing literature indicates a lack of research exploring the application of BIM in managing the entire intervention design and renovation processes from a broader system perspective. The purpose of the study was to fill this gap by identifying and evaluating the current utilization, benefits, and barriers associated with implementing BIM in the lifecycle of renovation projects. The study methodology is based on conducting 31 structured interviews with experienced professionals who have employed BIM in their project deliveries. The results reveal that the primary benefits of BIM adoption, in descending order of importance, pertain to improved collective understanding of design intent, lower risk and better predictability of outcomes, better-designed and performing buildings, more accurate project documentation, and increased accuracy of the cost estimate. However, there are several prominent barriers: project budget, complexity of modeling historic structures, cost to hire BIM professionals, and the lack of BIM knowledge. The findings will advance BIM adoption for heritage renovation and enable project stakeholders to focus on realizing the benefits and potential uses of lifecycle BIM, while also addressing the critical challenges discussed in this study.

Investigation of the driving power of the barriers affecting BIM adoption in construction management through ISM

Building Information Modelling (BIM) is a rising digital medium that is gaining popularity in the construction sector. Although BIM usage has been mandated in the public construction sector in Saudi Arabia, its adoption remains limited. This paper aims to investigate the driving power of the barriers affecting BIM adoption in construction management through Interpretive Structural Modeling (ISM). A literature review and expert meetings were conducted to identify the potential barriers faced by contractors and consultants in BIM usage in the construction management sector. Two different techniques were utilized to rank the identified barriers to adopting BIM in construction management. The first technique, the Relative Importance Index (RII), evaluates and assesses the barriers from both the contractors and consultants' perspectives. The second technique, Interpretive Structural Modeling (ISM), identifies the driving power of barriers and understands the correlations among them. A total of sixty-nine responses were analyzed using the RII. Cronbach's alpha was utilized to assess the collected data's reliability. The findings from the ISM were validated by experts to establish relationships among the identified barriers. The ISM reveals that the top driving barrier to BIM adoption is the “Lack of skilled and experienced personnel”, followed by “Lack of awareness”, “Communication issues” and “Longer setup time”. The findings of this study could assist local authorities develop an incentive program to encourage contractors and consultants to adopt BIM in construction management.

Dynamic BIM Adoption Impact on Contract Cost Variance Factors Using PLS-SEM Techniques

This paper investigates the Building Information Modeling (BIM) adoption impact on the factors of Contract Cost Variance (CCV) over time. The study considers qualitative and quantitative data to identify the most common causes of CCV through pre-tendering. A partial least square-structure model (PLS-SEM) procedure was used to develop a causal model and rank CCV factors based on their effect, partially based on prior survey raw data conducted in 2022 and the data from 94 projects. Construction industry experts assessed the prior five-year rate of BIM adoption on construction projects to infer the expected trend in BIM adoption in the future (until 2037). Based on the causal model of CCV factors and the future rates of BIM adoption, the dynamic impact of BIM on CCV factors over time was modeled and analyzed. The analysis shows that BIM reduces CCV over time by improving Estimator Performance (EP), Information Quality (IQ), and contractual procedure (CP). The results showed that the CP, EP, and EF have directly impacted CCV, and the PC and IQ indirectly affect the CCV. This paper considers the temporal aspect, examining how the impact of BIM on CCV factors evolves. This dynamic analysis is crucial for long-term strategic planning in construction management.

Building Information Modeling Adoption, Implementation, and Challenges in the Ethiopian Construction Industry

Building Information Modeling Adoption, Implementation, and Challenges in the Ethiopian Construction Industry

Revealing Building Information Modeling Adoption Factors in Indonesia: A Mixed-Methods Exploration Through Constant Comparative Method and Structural Equation Modeling

This study explores factors affecting Building Information Modeling (BIM) adoption in Indonesia’s architecture, engineering, and construction (AEC) industry. The researchers adopt a mixed-methods approach, utilizing interview data from 15 experienced BIM specialists and questionnaire responses from 206 AEC professionals. Using the constant comparative method and structural equation modeling, this study identifies key determinants of BIM adoption. Research findings highlight individual innovativeness as the primary factor, followed by perceived benefits, internal organizational readiness, and external influences. A structural analysis reveals that not all factors directly impact BIM adoption. Perceived benefits and internal organizational readiness have direct structural paths to BIM adoption, with individual innovativeness mediating external influences and perceived benefits. This study result also emphasizes the importance of internal organizational readiness in supporting individual innovativeness during BIM adoption. Overall investigation enriches the understanding of BIM adoption strategy and critical factors, especially in the context of developing nation like Indonesia.

The Effect of Project Management System Implementation, BIM Technology, and Cloud Collaboration on Construction Project Efficiency in Riau

This study examines the impact of Project Management System (PMS) implementation, Building Information Modeling (BIM) technology, and Cloud Collaboration on construction project efficiency in Riau, Indonesia. Utilizing a quantitative research design, data were collected from 190 professionals involved in construction projects and analyzed using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings reveal that all three factors—PMS implementation, BIM technology, and Cloud Collaboration—positively and significantly influence construction project efficiency. Among these, BIM technology demonstrates the strongest impact, followed by Cloud Collaboration and PMS implementation. The high R² value (0.752) indicates that these factors collectively explain a substantial portion of the variance in project efficiency. This study underscores the importance of integrating advanced technological tools and management practices to enhance project outcomes in the construction industry. The results provide practical insights for construction firms in Riau and similar regions, suggesting that the adoption of BIM, Cloud Collaboration, and PMS can lead to significant improvements in project efficiency.

A Comparative Analysis of the Opportunities and Challenges Associated with Building Information Modeling Implementation in Jordan and Kuwait

Building Information Modeling (BIM) utilizes a multifaceted computer software data model to document building designs, simulate construction, and manage the operations of new facilities. This research aims to investigate the adoption of BIM in the Jordanian and Kuwaiti construction sectors. To achieve this objective, the research commenced with a comprehensive literature review on global and Middle Eastern BIM adoption, identifying the benefits and challenges of BIM in the construction industry. Subsequently, an exploratory study was conducted using an online survey to assess the current level of BIM expertise and characterize the perceived advantages and barriers associated with BIM implementation. The current state of BIM implementation in Jordan and Kuwait can be characterized as lagging behind. The study shows there is more awareness of BIM applications, programmes, and benefits in Jordan than Kuwait. The study identified and compared several barriers to BIM adoption in Jordan and Kuwait, including: Lack of government support, Lack of effective collaboration among project stakeholders, Lack of demand for BIM.

BIM Adoption in MENA's Construction Industry: A Contractor's Perspective

This study delves into the multifaceted landscape of Building Information Modeling (BIM) adoption and implementation across the Middle East and North Africa (MENA) region's construction industry. Employing an online survey methodology, the research scrutinizes the varied profiles of contractors. Through regression analysis, the study investigates the impact of institutional pressures on the contractors’ BIM adoption, implementation, encountered barriers and challenges, expected benefits and outcomes, and related expertise and training. The analysis then extends to evaluate the interrelationships among such BIM variables. The key findings reveal significant influences of institutional pressures on BIM adoption and benefits as well as their expected benefits and outcomes but less impact on overcoming BIM barriers and challenges and enhancing expertise and training. The research highlights the limited role of BIM expertise and training in the adoption, implementation, and realization of its benefits and outcomes within the MENA construction sector. Furthermore, the study concludes that barriers, challenges, benefits, and outcomes don’t have a significant effect on BIM's adoption and implementation. The study also evaluates the primary benefits and outcomes of BIM alongside the main barriers and challenges encountered. Crucially, the research identifies and dissects the salient barriers to BIM deployment, such as awareness and expertise deficiency, financial and human resource constraints, training shortages, and resistance to change. This study not only provides a detailed snapshot of the BIM landscape but also lays the groundwork for addressing the persistent challenges and harnessing the full potential of BIM in revolutionizing construction methodologies in the MENA region. Doi: 10.28991/CEJ-2024-010-08-015 Full Text: PDF

Adaptability of BIM technology to mitigate the cost overruns in design and build projects

Purpose Cost overruns are an inevitable issue in design and build (D&B) projects. In D&B projects, causes for cost overruns can be managed by adopting appropriate building information modelling (BIM) functions. Because there is a research gap in synergy between the use of BIM for mitigating cost overruns in D&B projects, this study aims to evaluate the adaptability of BIM to manage cost overrun issues in them. Design/methodology/approach Research objectives were attained through a quantitative research approach adopting the Delphi technique, which consists of three rounds of a questionnaire survey. Through statistical tools, the collected data were analysed. Findings This research revealed the ten most crucial causes for cost overruns in D&B projects, where continuous changes in designs and drawings are the top causes. Change and revision management and interoperability are the most crucial BIM functions to address the aforementioned cause. Subsequently, 16 enablers, 26 barriers and 19 strategies to implement BIM to manage the identified significant causes of cost overruns were overviewed. Originality/value This study addresses the literature gap pertaining to the cost overrun in D&B projects and the application of BIM by studying the causes for cost overrun, suggesting BIM functions to mitigate the above cause. Moreover, this study assessed the probable barriers and enablers for BIM adoption in construction projects from D&B perspective.

Aligning building information modeling and prefabricated construction with sustainable development goals: A framework for sustainable urbanization

Given its large environmental footprint and the urgent need for more efficient and sustainable practices, sustainability in the construction industry has never been more urgent. This paper explores the integration of building Information Modelling (BIM) and prefabricated building (PC) as a transformative approach to aligning the construction sector with the United Nations Sustainable Development Goals (SDGS), Special attention is given to SDG 9 (industry, innovation and infrastructure), SDG 11 (Sustainable cities and communities), SDG 12 (responsible consumption and production), SDG 13 (climate action) and SDG 7 (affordable clean energy). Through the lens of BIM and PC, the study illustrates how these technologies can significantly reduce waste, optimize resource use, and contribute to the construction of energy-efficient buildings, thereby mitigating the environmental impact of urban development. Enhanced stakeholder collaboration and information sharing facilitated by BIM was highlighted as a key factor in integrating community needs and environmental considerations into project planning and execution. This paper argues that the strategic adoption of BIM and PC not only promises to revolutionize construction practices by increasing efficiency and reducing costs, but also plays a vital role in the global pursuit of sustainability. Through a comprehensive analysis of the benefits and challenges associated with BIM and PC integration, this study highlights the importance of continuous technological progress, adaptation to different global environments, and alignment with the Sustainable Development Goals as important steps towards achieving sustainable urbanization.

Assessment and analysis of the effects of implementing building information modelling as a lean management tool in construction management

PurposeThe purpose of this research paper is to investigate and evaluate the impacts of utilising Building Information Modelling (BIM) as a lean management tool in Bangladesh's construction management field. The paper explores how adopting BIM as a lean management tool can improve and expedite a number of processes in building projects, which will ultimately increase project success, cost-effectiveness and efficiency.Design/methodology/approachA comprehensive survey was conducted to investigate how BIM deployment as a lean management tool affected project outcomes. This research involved a structured survey amongst construction professionals and a case study on a real project in Bangladesh to assess the effects of using BIM as a lean management tool. The data collected from 112 respondents were analysed statistically and qualitatively to identify the effect of BIM as a lean management tool. Additionally, several software tools, including Revit, Navisworks, Design Review and BIM 360, were used to compare conventional and BIM-based methods.FindingsThe research findings demonstrate that utilising BIM practices improves the quality and safety of construction in Bangladesh. The “Improving the quality of construction” (RII = 0.732) achieved the highest rank in the questionnaire survey. In addition, the case study represents that the construction industry can benefit from BIM-based project management. The BIM implementation can shorten the design process by over 50% and save up to 1.5 weeks by minimising idling time. By applying BIM, it is possible to avoid a price rise of roughly 2.5% and a delay of about 11.9% of the original contract period.Practical implicationsThe significance of the results goes beyond the direct advantages of the project's achievements. The successful integration of BIM as a lean management tool in Bangladesh's construction sector suggests transformative potential for the industry. The enhanced coordination and decreased errors point to a future where construction projects can achieve higher levels of precision and reliability. The improved efficiency observed implies a more sustainable and cost-effective future for construction projects in the region.Originality/valueThe research provides a unique perspective on the impact of BIM implementation on project outcomes. It includes a comprehensive survey on BIM adoption as a lean management tool, gathering real-world experiences from construction professionals in Bangladesh. The case study explores the practical implications and advantages of implementing BIM in construction projects. By comparing conventional methods with BIM-based approaches and utilising BIM software, the study contributes value to the construction sector.

Driving digital transformation in construction: Strategic insights into building information modelling adoption in developing countries

The construction industry in developing countries faces significant challenges, including limited resources, infrastructure constraints, and varying levels of technological readiness, which hinder the adoption of Building Information Modelling. Despite the recognized benefits in enhancing project efficiency, reducing costs, and improving collaboration, there is a lack of comprehensive understanding and tailored strategies for Building Information Modelling implementation in these contexts. This study aims to address these gaps by systematically reviewing Building Information Modelling adoption literature from 2013 to 2023 and developing a model specifically designed to guide its integration in developing nations. It categorizes nations by demographic and economic parameters and employs thematic analysis to explore benefits, challenges, and strategies. The study develops a tailored Building Information Modelling adoption model, by highlighting the dynamic interplay between adoption, contextual and strategic factors, technological advancement and socio-economic development and synthesizing key insights from academic literature and empirical findings. It offers strategic recommendations for nations at different Building Information Modelling integration stages, addressing their unique socio-economic and environmental contexts. The study identifies trends in utilization and highlights significant gaps, particularly in empirical, educational and strategic initiatives on digital construction transformation.

Mind the gap: Facilitating early design stage building life cycle assessment through a co-production approach

Despite the transition towards a circular economy (CE) being a significant element in achieving the decarbonisation of the built environment, a clear and common pathway to applying CE principles to building design is still lacking in both industry practice and academia. The integration of Building Information Modelling (BIM) and Life Cycle Assessment (LCA) has the potential to enable the identification of feasible pathways to increase circularity. This study aims to investigate its practical use to facilitate the application of circular economy principles at the early stage of building design via using LCA-based BIM plugins. Within this aim, the paper centres on a co-production approach and presents a gap analysis by identifying gaps in knowledge and implementation as well as addressing the pressing needs of the current practice in the UK. A series of semi-structured interviews with expert practitioners in the field were conducted for data collection, contributing to the following phases of the co-production by allowing for an in-depth investigation and reflection of the practice. The findings have revealed that: (a) there is still an insufficient level of contextual awareness and readiness in the implementation of CE principles in the built environment and LCA understanding and (b) the adoption of BIM at the early stages of building design is still limited in the current practice; BIM models with sufficient level of data details and quality to enable circularity assessment are rarely produced. Thus, the paper highlights the need for enabling mechanisms, including the introduction of legislative instruments, the involvement and commitment of the industry and key stakeholders, the support for training and skills improvement, and the establishment of effective communication and implementation process management frameworks. Future research agenda points to the need of formulation of a BIM protocol to enable integration of BIM and LCA to promote CE principles in the building design process.

The effectiveness of BIM features application strategies for building refurbishment project performance improvement

Abstract This research presents a study that explores the effectiveness of different strategies for implementing Building Information Modelling (BIM) features in enhancing the performance of building refurbishment projects. The study adopts a combined quantitative and qualitative approach to measure the significance of BIM features in relation to building refurbishment project performance improvement. It aims to uncover the correlation between BIM feature application strategies and building refurbishment project performance and provides recommendations on utilizing BIM features to improve project outcomes. The study encompasses a comprehensive review of existing literature on BIM and building refurbishment projects, followed by a mixed-methods approach. This approach involves quantitative analysis of data from refurbishment projects that have implemented BIM, as well as qualitative analysis of expert interviews with industry professionals. The findings of the expert interviews shed light on the factors influencing the effectiveness of BIM in building refurbishment projects, such as the level of BIM adoption, the availability of skilled personnel, and the integration of BIM into project workflows. The research contributes valuable insights to enhance the understanding of BIM utilization in building refurbishment projects, offering guidance to practitioners and decision-makers in leveraging BIM technologies for such endeavourrs.

BIM Policy Trends in Europe: Insights from a Multi-Stage Analysis

This study offers a detailed analysis of building information modelling (BIM) policy and implementation across Europe, significantly contributing to the sector’s digital transformation. By collating data from governmental, academic, and industry sources, it identifies key trends and evaluates the effectiveness of BIM policies in advancing technology within construction. A systematic literature review and text mining across major databases revealed an increasing focus on sustainability, particularly “life cycle assessment” and “energy efficiency”, aligning with the Industry 5.0 initiative. The research shows that 35% of European countries have or plan to introduce BIM mandates, highlighting BIM’s crucial role in enhancing construction practices and influencing policy frameworks. Insights from this study are valuable for researchers, practitioners, and policymakers, guiding the adoption and operationalization of BIM and emphasizing the need for thorough market preparation, including funding, training, and standardization. Additionally, the study suggests a correlation between a country’s economic development and its propensity to enforce BIM mandates. Future research could explore regional policy variations and delve into the theoretical aspects of policy adoption and innovation diffusion to further understand BIM uptake dynamics.

Assessment of Adoption and Acceptance of Building Information Modeling for Building Construction among Industries in Qatar

Building information modeling (BIM) has become a vital tool in the construction industry, especially in Qatar, where remarkable infrastructural growth and innovation have taken place. This study looked into the factors influencing the adoption and acceptability of BIM in the Qatari construction industry using the Information System Success Model (ISSM), the Technology Acceptability Model (TAM), and structural equation modeling (SEM). Survey information gathered from project managers, contractors, engineers, architects, suppliers, and BIM specialists with direct BIM expertise was examined. The results showed that intentions to adopt BIM have a significant influence on its Perceived Usefulness and ease of use. The adoption of BIM is also significantly impacted by ISSM elements, including the Total Quality, Organizational Efficiency, Innovativeness, and Financial Aspects. This study illustrates the complex interactions between organizational influences and personal perspectives by demonstrating the direct and indirect effects of these factors on BIM adoption. These results provide a complete picture of the dynamics influencing BIM adoption in Qatar’s construction sector. As a result, this study makes connections between individual technology acceptance and the larger socio-technical environment of BIM implementation, providing essential information for building sector stakeholders, policymakers, and industry leaders. By using these insights to create strategies to boost BIM’s adoption and acceptability, the construction industries may be further aligned with global best practices in project management and delivery.