Adoption of building information modeling in Chinese construction industry

2019 ◽  
Vol 26 (9) ◽  
pp. 1878-1898 ◽  
Author(s):  
Yilin Chen ◽  
Yilin Yin ◽  
Glenn J. Browne ◽  
Dahui Li
Keyword(s):  
Construction Industry ◽  
Statistical Approach ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Content Type ◽  
Construction Firms ◽  
Engineering Consulting ◽  
Consulting Firms ◽  
Building Information ◽  
Toe Framework

Purpose Building information modeling (BIM) is recognized as a major innovation in the architecture, engineering, and construction (AEC) industry. Understanding the factors that influence the AEC’s adoption of BIM will benefit the research and practice of BIM. The paper aims to discuss these issues. Design/methodology/approach This study provides empirical evidence for the accumulated knowledge of BIM adoption by examining the context of Chinese construction industry. Based on the technology-organization-environment (TOE) framework in the innovation diffusion literature, the authors develop a research model that integrates the critical success factors related to the technology of BIM, the construction company and the environment in Chinese construction industry. The authors collected two different data sets from engineering consulting firms and construction firms in China, and conducted rigorous analyses using a sophisticated statistical approach. Findings The authors found that the relative advantage of BIM was a major factor that enabled BIM adoption, while the complexity of BIM was an inhibiter. In addition, management support was also a significant antecedent of BIM adoption. However, organizational readiness was significant for engineering consulting firms but not for construction firms. Surprisingly, the authors did not find consistent significant impacts of any environmental factors. Last, younger firms were more likely to adopt BIM. Originality/value One of the first to apply the TOE framework to integrate three groups of factors that may explain BIM adoption in China. Such a comprehensive framework provides a much broader perspective of BIM adoption to evaluate the impacts of different antecedent factors. The authors conducted an empirical study based on survey data collected from two different types of companies, i.e., engineering consulting firms and construction firms, representing the two parties in the principal-agent relationship of a construction project. One of the first to apply a sophisticated statistical approach, i.e., partial least squares, to analyze the data in the BIM literature.

scholarly journals Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry

2020 ◽  
Vol 27 (10) ◽  
pp. 2931-2958
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Nicholas Chileshe ◽  
Sunday Ajiboye Babarinde ◽  
Malindu Sandanayake
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Multivariate Techniques ◽  
Content Type ◽  
Stage Of Development ◽  
Building Information ◽  
Barriers To Implementation ◽  
Lack Of Knowledge

PurposeThe purpose of this paper is to identify and assess the perceptions of constructional professionals on barriers to implementation of building information modeling (BIM) within the Nigerian construction industry.Design/methodology/approachA scoping literature review was conducted to identify the fourteen barriers to implementation of BIM, which were employed to design a questionnaire survey. Data collected were analyzed using descriptive statistics, mean score, Kruskal–Wallis test, analysis of variance and multivariate techniques such as factor analysis.FindingsThe descriptive and empirical analysis demonstrated a disparity of ranking of the 14 barriers factors among the groups; however no statistically significant differences among the 14 barriers to BIM. Based on the mean score ranking results, only three (out of 14) barriers are identified as critical (mean score greater than 3.5): few studies available on BIM and lack of knowledge, inexistence or inadequate government policies, and high cost of implementation. The results of the one-sample t-tests show that they were statistically significant differences in 10 out of 14 barriers as follows: few studies available on BIM and lack of knowledge, lack of demand for use and acceptance of BIM, inadequate contractual coordination, lack of specified standards, cost of data and information sharing, technological availability issues, reluctance of other stakeholders, business and cultural changes, data and intellectual property issues, and interoperability issues. The study, through factor analysis, categorized the fourteen barriers to BIM implementation into four principal factors. The factors are: technology and business-related barriers; training and people-related barriers; cost and standards-related barriers; and process and economic-related barriers.Practical implicationsThe identification and assessment of the key barriers to BIM implementation would be useful for the construction professionals and other stakeholder of the construction industry with the view to advance BIM adoption in Nigeria. This could also be extended to other developing countries through considerations of the local economic conditions, given the status of BIM as being in the germinating stage of development in Africa.Originality/valueThe study provides insights on the barriers to BIM implementation across the Nigerian construction sector environments. The innovative aspect of the study is the identification of the ordered and grouped (composite) set of barriers to BIM which could be used to developing appropriate mitigating solutions.

scholarly journals Drivers for implementation of building information modeling (BIM) within the Nigerian construction industry

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Oludolapo Ibrahim Olanrewaju ◽  
Sunday Ajiboye Babarinde ◽  
Nicholas Chileshe ◽  
Malindu Sandanayake
Keyword(s):  
Factor Analysis ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Multivariate Techniques ◽  
Content Type ◽  
Technological Advances ◽  
Building Information ◽  
Managerial Implications ◽  
Principal Factors

Purpose The Nigerian construction industry, like in most emerging economies has been slow with technological advances such as building information modeling (BIM). More so, the application of BIM among Nigerian practitioners is rather limited to architects’ usage for schematic design and presentation of drawings. The purpose of this study is to enhance BIM’s uptake, this study explores the drivers for the implementation of BIM within the Nigerian construction industry. Design/methodology/approach An interpretivist epistemological design was adapted to extensively manually review and search the literature on BIM implementation drivers. Based on 14 drivers for BIM implementation drivers identified, a survey questionnaire was used to collect data from the Nigerian construction practitioners. The data obtained is then subjected to descriptive, inferential statistics and multivariate techniques such as factor analysis. Findings The study, through factor analysis, categorized the 14 drivers to BIM implementation into four principal factors. The factors are construction related-drivers; process digitalization and economic-related drivers; sustainability and efficiency-related drivers; and visualization and productivity-related drivers. Practical implications To effectively adopt BIM in the construction industry, it is necessary to identify the BIM implementing drivers, which can act as catalysts of change and, thus leading to sustained adoption of BIM. Therefore, the identified drivers and categorization of principal factors could provide managerial implications for better execution and adoption of BIM, as well as the creation of the required change for the BIM implementation. Originality/value The research provides insights into the implementation drivers of BIM in lesser studies in a developing country such as Nigeria. The study further contributes to this research sphere by using factor analysis to customize and contextualize the drivers that were previously identified.

Integration of facility management and building information modeling (BIM)

Facilities ◽  
2019 ◽  
Vol 37 (7/8) ◽  
pp. 455-483 ◽  
Author(s):  
Manish K. Dixit ◽  
Varusha Venkatraj ◽  
Mohammadreza Ostadalimakhmalbaf ◽  
Fatemeh Pariafsai ◽  
Sarel Lavy
Keyword(s):  
Literature Review ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Life Cycle Management ◽  
Facility Management ◽  
Information Modeling ◽  
Facilities Management ◽  
Content Type ◽  
Building Information ◽  
General Contractors

Purpose The purpose of this study is to investigate factors that impede the integration of facilities management (FM) into building information modeling (BIM) technology. The use of BIM technology in the commercial construction industry has grown enormously in recent years. Its application to FM, however, is still limited. The literature highlights issues that hinder BIM–FM integration, which are studied and discussed in detail in this paper. Design/methodology/approach A review of literature is conducted to identify and categorize key issues hampering the application of BIM to FM. This paper has also designed a questionnaire based on a literature review and surveyed FM professionals at two industry events. Using the collected responses, these issues are analyzed and discussed using non-parametric statistical analyses. Findings A total of 16 issues are identified through the literature review of 54 studies under the four categories of BIM-execution and information-management, technological, cost-based and legal and contractual issues. The results of the survey of FM professionals (with 57 complete responses) reveal that the single most important issue is the lack of FM involvement in project phases when BIM is evolving. Originality/value The findings of this study could assist the construction industry (e.g. building-material and equipment manufacturers, design professionals, general contractors, construction managers, owners and facility managers) with creating guidelines that would help in BIM–FM integration. BIM is a virtual database that contains important design and construction information, which can be used for effective and efficient life cycle management if building data are captured completely and accurately with a facility manager’s involvement.

Applications of Building Information Modeling in Cost Estimation of Infrastructure Bridges

2012 ◽  
Vol 1 (2) ◽  
pp. 17-29 ◽  
Author(s):  
Mohamed Marzouk ◽  
Mohamed Hisham
Keyword(s):  
Construction Industry ◽  
Cash Flow ◽  
Cost Estimation ◽  
Building Information Modeling ◽  
Cost Estimate ◽  
Information Modeling ◽  
Bridge Engineering ◽  
C Language ◽  
Building Information ◽  
Bridge Information Modeling

Bridge Information Modeling (BrIM) is considered an innovation in bridge engineering and construction industry. This paper presents a methodology for using BrIM as an assisting tool in performing detailed cost estimates. The methodology depends on integrating visualization feature of BrIM with specific attributes of the BrIM model intelligent components. A program developed using C# language is used to extract the visualization conclusions and other components’ attributes to MS Excel spreadsheet. This sheet assists in performing detailed cost estimate, and reviewing the estimate. The paper also presents a methodology for generating cash flow and required payments. This methodology depends on integrating the developed program with 4D feature of BrIM.

Strategies in Using Building Information Modeling (BIM) to Solve Problems in Project Management of Chinese Construction Enterprises

2014 ◽  
Vol 501-504 ◽  
pp. 2700-2705 ◽  
Author(s):  
Li Shen ◽  
Ya Xing Lin
Keyword(s):  
Project Management ◽  
Construction Industry ◽  
Building Information Modeling ◽  
Information Modeling ◽  
Construction Enterprises ◽  
Building Information

The application of Building Information Modeling has become a trend in construction industry, it is our duty to accelerate BIM application in recent years. Firstly, the paper generally introduced the concepts and characteristics of BIM, and pointed out the problems that existed in Chinas Project Management of Construction Enterprises, and theoretically, technically discussed the solutions to these issues with BIM technology in a qualitative way. At last, the paper proposed some suggestions and outlooks for the development and promotion of BIM technology in China.

scholarly journals Application of 4D BIM in Construction Industry: Challenges and Suggestions

2021 ◽  
Vol 9 (8) ◽  
pp. 3070-3073
Author(s):  
Sagar V. Mundhokar
Keyword(s):  
Work Environment ◽  
Construction Industry ◽  
Information Technologies ◽  
Building Information Modeling ◽  
Collaborative Work ◽  
Information Modeling ◽  
Delivery Performance ◽  
Collaboration Environment ◽  
Building Information

Abstract: Construction industry is believed to be one of the most criticized industries worldwide. During the last two decades, this criticism has denoted a lot of problems. Without disregarding any of the industry problems, it seems that the most criticized problems are low delivery performance, lack of innovation, lack of collaboration and fragmented nature of the industry. To overcome these problems, a collaborative work environment is needed. During the last few years, the use of advanced information technologies in construction hasincreased to support the industry requirement of collaboration environment. Keywords: Building Information Modeling BIM, BIMimplementation, BIM Barriers

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