Building Information Modeling Users Research Articles

The mediating effect of BIM application on the link between organizational support and BIM user satisfaction

ABSTRACT Building information modeling (BIM) is considered to be the most promising technological innovation in the construction industry, and its widespread application is an inevitable trend. The satisfaction level of employees using BIM serves as a crucial indicator of the success of BIM implementation. Therefore, it is imperative to enhance users’ satisfaction. While some researchers have explored the impact of organizational support, there has been a dearth of in-depth studies on the specific mechanisms underlying its influence. Previous research has identified both emotional and instrumental dimensions of organizational support, however, the specific mechanisms through which these two forms of support affect BIM user satisfaction have not been thoroughly explored. This study investigates the effects of organizational support on BIM user satisfaction in construction companies and proposes the mediating role of exploitative and exploratory applications in their relationship from the perspective of dual innovation theory. Drawing data from 151 valid questionnaires, regression analysis is conducted to examine the relationship between organizational support and user satisfaction. Additionally, the Partial Least Squares Structural Equation Model (PLS-SEM) is established to verify the mediating role of explorative and exploitive applications. The findings show that: (1) instrumental support and emotional support both increase BIM user satisfaction; (2) both exploitative and exploratory applications mediate the effect of emotional support on BIM user satisfaction; (3) only exploratory application mediates between instrumental support and BIM user satisfaction. These findings explain the mechanism through which organizational support influences BIM user satisfaction and offer insight for managers to improve the satisfaction level.

Analysis of Critical Factors and Strategies for Implementing and Using BIM in the Public Sector

Building Information Modeling (BIM) is a widely adopted technology in the Architecture, Engineering, and Construction (AECO) sector, with a commercial applicability of over 20 years. However, it has not yet reached all sectors and professionals within the industry. Given this reality, this work aims to identify successful strategies and critical factors reported in global public sector experiences of BIM implementation and usage, to pinpoint the necessary approaches for its development. A systematic literature review was conducted with a qualitative-quantitative approach to achieve this. The results highlight that factors related to cultural change and training are the most critical, along with integrating technology into processes, the lack of BIM standardization, and a lack of government incentives. In light of these findings, it is understood that BIM is predominantly used for modeling, and there are still gaps in understanding the technology's use for information management. This research also presents correlations between the factors identified by authors, associating them with suggested or implemented strategies in successful experiences. These contributions can serve as the basis for further studies on maturity diagnosis or assist in formulating future BIM implementation strategies.

Life cycle cost modelling using 6D BIM in construction: A comparative study

Life Cycle Costing (LCC) and Building Information Modelling (BIM) are among the important current trends in the construction industry. LCC contributes to the objective management and measurement of costs during the entire lifetime of a building and BIM represents one of the digitalization efforts related to the Construction 4.0 initiative. Because life cycle cost modelling using 6D BIM has the potential to bring significant positive effects such as cost savings and reduced environmental burden, this paper aims to study the development of this concept in the Czech Republic and Austria. The legislative environment, the actual usage of LCC and BIM in practice, as well as problems faced by the Czech and Austrian construction industries, are discussed in this comparative study. The results show that the practical level of use is still relatively low in both countries, yet specific differences were identified, for example those related to the definition of legislative requirements and the availability of standards and specifications.

Development and Challenges of BIM in the Construction Industry in China and Australia

This article examines the application and development of Building Information Modeling (BIM) in the construction industries of China and Australia. The visual, coordination, simulation, and optimization characteristics of BIM provide a foundation for project management. In China, BIM has been widely adopted in major engineering projects, but it still faces challenges such as inactive design institutes, inconsistent data standards, and a shortage of BIM talent. BIM usage in Australia is relatively low, partially due to the lack of government enforcement. It is recommended to promote wider BIM application in various fields through training, resource support, establishing industry standards, and providing incentives. In summary, BIM technology holds significant potential for the future development of the construction industry, but overcoming various challenges is necessary to achieve its maximum benefits.

Understanding the perception differences on BIM adoption factors across the professions of AEC industry

Architecture, Engineering and Construction (AEC) industry lags behind other industries in terms of digitalization and technology adoption. On the other hand, Building Information Modeling (BIM) is seen as an important tool that can enhance AEC industry. However, BIM adoption might not at the desired level taken into the account of perception differences on BIM use benefits across the professions of AEC industry. Studies on the BIM adoption of construction organizations show that one of the most fundamental factors affecting the adoption is BIM users. Although studies in literature generally aim to measure how BIM adoption can be increased in different countries, none of these studies investigated whether there is a perspective difference on BIM use between BIM users according to occupational groups. In this context, this study has an attempt to develop a better understanding of architects and civil engineers’ perspective on BIM adoption factors in AEC industry. In line with the purpose, main factors affecting the BIM adoption in AEC industry were identified. Then, a survey was conducted with the participation of a total of 150 BIM users. Mean score and independent t-test were performed to explore rankings of BIM adoption factors and the perception differences between architects and civil engineers respectively. According to the analysis results, majority of the perception differences on BIM adoption factors heap together under the triggering variables rather than internal and behavioral intention variables.

Developing a structural model of stakeholders’ behavior toward BIM adoption in construction enterprises

Building Information Modeling (BIM) has been recognized as a potential technology for revolutionizing the design, construction and operational management of projects. Its success depends on the functions and quality of BIM, as well as the needs, behaviors, and attitudes of users. The process of innovation adoption is presented as a series of phases, from initiation to the decision to adopt and the implementation of the innovation. This study develops a comprehensive model based on the innovation adoption process to describe the relationships between the enabling factors and technology use behaviors that address fundamental problems in adopting BIM in construction companies. The proposed model is then evaluated using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that there are the interrelationships between the enabling factors. It is also found that economic viability positively affects behavioral intention to use BIM, while economic viability, company business vision, and intention to use BIM positively influence BIM usage behavior. The study findings can be used for organizations in building strategies to improve user readiness and satisfaction, ultimately increasing BIM usage in the future. This research provides a scientific foundation for construction companies to enhance workplace efficiency and promote project commercialization.

Analisis Pengaruh Faktor-Faktor Building Information Modeling (BIM) terhadap Tingkat Penerapan dan Kinerja Proyek Pada Proyek Design and Build

In this research, an analysis was conducted on the influence of Building Information Modeling (BIM) factors on the level of implementation and project performance in Design and Build projects. The objective of this study is to analyze the factors affecting BIM implementation and project performance in Design and Build projects. The research method used is a quantitative method employing observation through questionnaires. The variables studied consist of dependent variables, namely the level of BIM implementation and project performance (cost, quality, time), as well as independent variables, namely BIM users, communication and coordination among stakeholders, 3D modeling, 4D field scheduling, 5D volume calculation, and project value. The research findings indicate that the use of BIM (X1) does not have a significant influence on the level of BIM implementation (Y). However, communication and coordination among stakeholders (X2) have a positive but non-significant influence on the level of BIM implementation (Y). The creation of 3D models (X3) also has a positive but non-significant influence on the level of BIM implementation (Y). On the other hand, 4D field scheduling (X4) has a positive but non-significant influence on the level of BIM implementation (Y). 5D volume calculation (X5) has a positive and significant influence on the level of BIM implementation (Y), while the value of the projects undertaken (X6) has a positive but non-significant influence on the level of BIM implementation (Y). Therefore, this research provides an understanding of the factors influencing the level of BIM implementation and its impact on the project performance in Design and Build projects.

Toward Improving BIM Acceptance in FM: A Conceptual Model Integrating TTF and TAM

Substantial research has been performed on Building Information Modeling (BIM) in various topics, for instance, the use and benefit of BIM in design, construction, sustainable environment building, and Facility assets over the past several years. Although there are various studies on these topics, Building Information Modeling (BIM) awareness through facilities management is still relatively poor. The researcher's interest is increased in BIM study is based heavily upon the perception that it can facilitate the exchange and reuse of information during various project phases. This property and others can be used in the Iraqi Construction industry to motivate the government to eliminate the change resistance to use innovations in the Iraqi construction industry. Even though many scholars and practitioners agree on the potential application and benefits of BIM in construction/ Facilities Management FM, it is yet unknown why BIM is used and what criteria facilitate BIM achievement in O&M. As long as the actual usage and acceptance of BIM in the Operation and Maintenance phase is still a central issue in practice, therefor depending on the extensive well ground literature review a conceptual acceptance model is proposed in this paper by applying the technology acceptance theories such as Technology Acceptance Model (TAM) and Task Technology Fit (TTF) to explore how the extent of facilities management staff going to accept and adopt the new international technology (BIM).

A Multivariate Analysis of the Variables Impacting the Level of BIM Expertise of Professionals in the Architecture, Engineering and Construction (AEC) Industries of the Developing World Using Nonparametric Tests

Building information modeling (BIM) mandates are becoming more widespread because BIM allows design and construction teams to operate more productively and also enables them to collect the data they generate during the process for use in operations and maintenance tasks. As a result, professionals in the architecture, engineering and construction (AEC) industries are expected to possess excellent BIM expertise. Despite the fact that the developing world has largely not adopted BIM, many studies have been conducted on BIM usage, awareness, drivers and barriers with a focus on the developing world. Numerous studies have pointed to the professionals’ lack of BIM expertise in the developing world’s AEC sector as a major barrier to BIM deployment. Nevertheless, no research has been conducted to assess the variables impacting the level of BIM expertise among professionals. After a detailed review of the literature, the study developed five study hypotheses and created a conceptual model to help assess the variables impacting the level of BIM expertise of professionals in the AEC industry in the developing world. After that, a questionnaire survey was carried out to collect data from 103 seasoned professionals in the Ghanaian construction industry. Nonparametric tests, such as the Kruskal–Wallis, pairwise post hoc Dunn, Mann–Whitney, Pearson’s correlation and the partial least squares structural equation modeling (PLS SEM) tests, were adopted to assess the relationships between the level of BIM expertise of professionals (BE) and the following variables: (1) profession (P), (2) the frequency of BIM use by professionals (BF), (3) the highest dimension of BIM adopted by AEC firms and companies (BD), (4) professionals’ perception of BIM (PB) and (5) the BIM implementation barriers (BIMIBs). P, BF, BD and PB were found to have a substantial impact on the level of BIM expertise acquired by professionals. With regards to professionals’ perception of the BIM software and process, only one (PB3–BIM is not useful to our company at the moment) out of ten of them was found to have a significant impact on BE, highlighting the impact of employers on the level of BIM expertise of professionals. In addition, the study discovered that any resolution made in an attempt to tackle the lack of/insufficient level of BIM expertise among professionals would prove futile without significant effort from the higher education sector (HES) of the developing world and the entire world at large. The study’s conceptual, empirical, managerial and theoretical implications and findings would serve as a roadmap for researchers, professionals and academics in developing nations as they endeavor to seek more ways of increasing BIM expertise among their professionals and to encourage BIM usage throughout the project lifecycle.

BIM Adoption for effective interface management in Indian construction industries

The contribution of the construction industry towards the development of the economy of an economy is inevitable. Building Information Modelling (BIM) is an emerging information tool that supports interface management in construction projects based on intellectual digital illustration that provides a maximum number of benefits throughout the lifecycle of projects. A country like India has recently adopted the BIM tool, but it is not widely adopted by construction companies. Therefore, comprehensive and systematic analyses are essential for determining the factors influencing BIM adoption. In this study, a proposed model is employed using seven significant factors, namely, Organizational support (OS), Information Quality (IQ), System Quality (SQ), Service Quality (SRQ), usage (U), User Satisfaction (US), and Net Benefits (NB), to analyse the influence of these factors on BIM adoption. An experimental analysis was conducted based on the developed success model and the fitness of the model was estimated. The results of this model suggest that system quality plays a major role in BIM usage. Furthermore, a hypothesis test was performed to analyse the impact range of each independent factor over the dependent factors.

Readiness and Challenges of the Construction Industry in Implementing Building Information Modelling (BIM)

Building Information Modelling (BIM) is one of the innovative approaches that has been developed and widely accepted in the construction industry. In Malaysia, BIM usage is still low and not many firms have taken full advantage of its potential despite theinvestment in BIM being proven to be well worth the cost of implementation to organizations. Therefore, this study has been conducted to identify the current status of BIM implementation in Malaysia. This study uses a qualitative approach with an explanatory research design to explore the phenomenon of BIM implementation in the construction industry. This study was aimed to identify the readiness and challenges in BIM implementation from twelve (12) participantsfrom consultants and contractors in Malaysiawho have already implemented and not have implemented BIM where the researcher used purposive sampling technique with snowballing sampling. In obtaining the data from participants, the researcher has conducted a semi-structured interview data collection technique. The data were then analyzedusing thematic analysis to identify patterns and themes among the research questions in two categories of participants. This study finds that the rate of BIM implementation in construction industry is very low and the most factors influence companies’ readiness in BIM implementation from both categories of participants are client, enforcement from authority and lack of project that needs BIM. This study also found that the most challenges faced in BIM implementation areBIM exposure, cost implementation and others. In addition to that, this study proposing effective strategies for enhancing the BIM implementation in Malaysia such as introducing of BIM in university curriculum, BIM enforcement from the authority and others.

EXPLORING THE IMPLEMENTATION CHALLENGES OF ADOPTING BUILDING INFORMATION MODELLING (BIM) IN ABUJA, NIGERIA

Nigeria's construction industry is facing significant challenges such as low productivity, high costs, and poor quality of buildings, and adoption of Building Information Modelling (BIM) can address these issues, but its adoption has been very slow in Nigeria. This paper aimed at investigating the level of awareness and usage of BIM, factors affecting the adoption, socio-economic benefits of its adoption and barriers and challenges affecting the adoption of BIM in Abuja, Nigeria. 363 structured questionnaires were administered on civil, mechanical & electrical engineers, quantity surveyors, architects and builders in Abuja, out of which 249 valid responses were received and the data obtained was carefully analyzed using descriptive analysis, relative importance index, and mean item score. While 87.95% of the respondents claim that they have heard the BIM concept before, only 19.27% rate their usage and knowledge of BIM as high or very high, this shows that most of the respondents currently do not use BIM in their day-to-day activities. The study shows that BIM education, affordability, ability to gain competitive edge, vision from management and ease of use as some of the most important factors affecting the adoption of BIM in Nigeria. It also highlighted the improvement of visualization & design review, reduction in risk level, improvement of quality, productivity, client satisfaction and project documentation as the most important benefits derivable from the use of BIM. The paper also shows that high cost of training, lack of government support, lack of education, information, investment, ICT infrastructure, power supply and demand from clients as the most important challenges hindering its adoption in Nigeria. The Nigerian construction industry may realize the benefits of BIM in terms of improved project outcomes, increased productivity, and increased efficiency by overcoming these barriers and encouraging a collaborative approach. Key suggestions for enhancing BIM adoption in Nigeria were made in this paper, including but not limited to incorporating BIM into curricula for the built environment, providing professionals with awareness programs and training and establishment of national BIM standards by the government.

Building information modelling (BIM) and knowledge management in implementation for con-struction projects

The widespread use of knowledge management in a wide range of applications aids in professionally and wisely streamlining the procedure to produce improved outcomes and deliverables. Knowledge management is essential in the construction sector due to the considerable investment, extended deadlines and the need for higher performance efficiency and quality. The usage of BIM in construction projects has simplified the procedures required in building construction. The fundamental motivation behind the creation of BIM was the need to apply knowledge management approaches to make projects more sustainable and compliant with green building requirements. There are various limitations and risks associated with using BIM in construction projects, such as issues with file sharing and data security. This research examines numerous BIM benefits and drawbacks from a variety of angles, providing information and various measures for building the program. BIM adoption in construction projects includes a wide range of benefits as well as drawbacks. The relationship between the variety of information and outcomes was explored using different findings from numerous scientific studies that looked at the use of BIM in the construction sector. Due to the wide range of data that is available in the BIM sector, numerous areas were also found in this study. A thorough analysis was undertaken to present a variety of author viewpoints from various articles. This report's strengths and weaknesses have been noted. It has been demonstrated that BIM has additional benefits, including meeting client expectations, reducing design errors, and achieving project sustainability. However, there are also drawbacks to BIM, including user skill gaps, ambiguous standards and protocols, and transfer data problems. A few studies have addressed some of the research gaps and limitations in some of the domains. Additionally, these regions were thoroughly addressed from many authors' points of view.

Profile Characterization of Building Information Modeling Users

Nowadays, BIM (Building Information Modeling) has steadily been introduced into the construction industry as a promising methodology for managing projects. Therefore, it is necessary to study the users of its processes. Worldwide, there are already systems that classify companies according to how they use BIM, although only a few studies have been conducted on how individual users are classified. Hence, the present study sought to develop a model that characterized BIM users based on several parameters. The methodology employed defined variables based on a literature review, which experts subsequently validated. These variables made it possible to develop the measurement instrument: a structured questionnaire applied to construction professionals. The necessary parameters for the user characterization model were extracted using the Partial Least Squares (PLS) method. This model met the structural evaluation and measurement criteria, which confirmed that it was valid and reliable. It was found that three main aspects mainly characterized users: (i) their use and command of the software and the methodology, (ii) the experience and degree of adoption of the technology, and (iii) the individual’s knowledge of process levels and standardization concerning BIM.

BIM knowledge transfer in construction industry: a partial least square analysis

PurposeThere are several technologies positively impacting the management of construction projects. Building information modelling (BIM) is one such technology, slowly changing project delivery. However, enhancing knowledge transfer (KT) within the construction industry is crucial because of the characteristic slow uptake of innovation. Therefore, this study aims to establish the effectiveness of the KT mechanism for BIM implementation in construction organisations.Design/methodology/approachThis study adopted a quantitative research method where a structured questionnaire was distributed to construction professionals. A partial least square structural equation modeling path analysis was used to test the direct and indirect relationships of computer self-efficacy (CS), perceived ease of use (PEOU), KT and BIM usage.FindingsThis study found that CS could improve KT, which will, in turn, increase the implementation of BIM within construction organisations. However, in terms of KT, individuals’ confidence and ability to use BIM inspires them to share the knowledge of BIM they had received through training. Furthermore, this study found that the ease of interacting, learning and being skilful with BIM may not necessarily ensure the actual transfer of knowledge.Originality/valueThis study provides valuable insights into KTs (BIM implementation) in the construction industry. It will enhance the use of BIM systems and related knowledge through effective training amongst construction practitioners. Other previous studies have focused on challenges and barriers to BIM implementation, this study goes deeper into establishing the effectiveness of the KT mechanism for BIM implementation in construction organisations.

ANALISIS QUANTITY TAKEOFF PADA PEKERJAAN STRUKTUR BAWAH JEMBATAN

Technological developments in the construction sector are expanding, also supported by government regulations. BIM (Building Information Modeling) is one of the technological developments in the construction world. It is expected to help workers minimize errors that will harm the project. Projects that humans still interpret are prone to errors due to human error. This study aims to model three dimensions that function to realize the plan, examine differences in the results of BIM-based quantity takeoff using Autodesk Revit software with conventional methods in one of the bridge structures in Cinere - Jagorawi Toll Project Section 3A, and interview BIM experts with an aim to determine the factors that can affect BIM-based QTO output from the user's perspective. The two QTO outputs produce a difference of ± 0.32% in the volume of the concrete structure and ± 2.28% in the reinforcement volume, where the BIM-based QTO results are lower than the conventional method. The factors that affect the output of BIM-based QTO from the user's point of view, namely (a) the long duration of BIM user’s experience affects the accuracy and details in the modeling, which will affect the QTO output, and(b) the longer the duration of experience and practice time the higher the level of detail and accuracy. The results of the QTO are especially important in determining the overall project cost. An inaccuracy in conducting the QTO will have fatal consequences that can harm the project. Keywords: Autodesk Revit, BIM (Building Information Modeling), Conventional Method, Quantity Takeoff.

Bridging the gap – A database tool for BIM-based circularity assessment

The concept of circular economy attracts attention across sectors. Since construction materials are the single largest material stock and flow, there is a particular interest from research and policy to apply the circularity concept to buildings. Large quantities of construction and demolition waste end up in landfill, despite new EU legislation that requires a 70% recovery rate. There is a gap between this ambitious goal and the reality of the construction industry. Building Information Modelling (BIM) has the potential to improve building design and construction processes for an increased recovery of materials. However, insufficient data, inconsistent methods and interoperability issues inhibit BIM application to unfold its full potential in circularity assessments. This paper introduces the CirBIM database framework. It provides BIM users with the required robust data to improve the circularity throughout the building’s life cycle: from the design phase throughout renovation activities to the end-of-life stage. The paper proposes a new workflow of building circularity assessment, describe the architecture of the new database tool, and recommends relevant data sources and information models to streamline data mining processes. The new database tool is exemplified through application to a case study building in Portugal, emphasizing the need for different metrics and the need of integration of the end-of-life scenarios in the building design stage.

Multi-criteria analysis of barriers to building information modeling (BIM) adoption for SMEs in New Zealand construction industry

PurposeBuilding information modeling (BIM) is a prominent concept to digitalize data collection and analysis processes. Small and medium-sized enterprises (SMEs) account for a considerable percentage of the works performed in the construction industry. The adoption rate of BIM by SMEs is still, however, not at the desired level in the New Zealand construction industry. This study aims to evaluate barriers to BIM implementation for SMEs in the New Zealand construction industry.Design/methodology/approachThis study adopted four-step methodology to evaluate barriers to BIM adoption for SMEs. First, a comprehensive literature review, followed by a focus group discussion was performed to identify barriers to BIM adoption. Then, analytical hierarchy process (AHP) was used to assess identified barriers. Finally, experts’ agreements (both internal and external) were ensured by consistency analysis and Kendall’s coefficient of concordance (Kendall’s W) tests.FindingsThe findings indicate that (1) interoperability between software platforms, (2) lack of government mandate on BIM usage at project level, (3) high cost of acquiring the software and licensing required to use BIM and (4) lack of client demand for adopting BIM were the most significant barriers in terms of technological, governmental, resource and cultural categories, respectively. Further investigation of the expert evaluation showed strong consistencies (each expert separately) and agreements (among experts) in each AHP matrix.Practical implicationsPrimary focus should be training of local market (particularly SMEs) professionals as the shortage in qualified professionals makes the country-wide adoption challenging. The publicity in the local market can help SMEs understand how BIM is leveraged for further improvements in project performance.Originality/valueOverall, this research not only provides a roadmap for the widespread adoption of BIM within SMEs in New Zealand through analysis of the barriers encountered but also highlights the power that policymakers hold over the mass adoption of BIM within SMEs.

Assessing stakeholder behavioural intentions of BIM uses in Vietnam’s construction projects

Building Information Modeling (BIM) has emerged as one of the most promising technologies in the construction industry in recent years. Numerous studies have established the benefits, the barriers and problems associated with BIM technology adoption. BIM users have a considerable impact on the success of BIM deployment. BIM implementation in Vietnam is still limited. The purpose of this study is to develop an integration model that combines the Theory of Planned Behavior (TPB) with the Technology Acceptance Model (TAM) to explore stakeholders' behavioural intentions toward BIM uses. A questionnaire survey is designed to collect data from practitioners. The PLS-SEM model indicates that attitude toward using BIM (ATU), perceived usefulness (PU), perceived ease of use (PEOU), and subjective norm (SN) are the most significant predictors of behavioural intentions (BIU), whereas perceived behavioural control (PBC) has no significant influence on BIU. Managers then need to develop a sense of the benefits and characteristics, employee attitudes, and especially a comfortable environment for BIM. This study provides an excellent foundation for policy formulation and a roadmap for the implementation of BIM in Vietnam in the future. Besides, researchers could conduct similar studies in other parts of the world to make international comparisons.

Optimising the implementation of BIM: A 2-stage stochastic programming approach

A challenge faced by contractors attempting to implement Building Information Modelling (BIM) is deciding on the functions that BIM needs to be implemented for, along with the associated level of development (LOD). This study proposes a 2-stage stochastic optimisation model for planning the BIM implementation at the strategic level for organisations. The proposed approach accounts for learning curve effects associated with acquiring BIM skills and the uncertain demand for BIM usage due to other emerging technologies. The results indicated that BIM implementation can reduce the technology costs by up to 200%, in contrast to not implementing BIM; however, organisations are likely to experience a 5% cost increment at the beginning until 50 learning cycles. The proposed method is designed to assist decision-makers on whether BIM should be implemented at their firms, and if so, what functions to implement and what LOD to associate with developed models.