scholarly journals Drivers of Sustainable Adoption of Building Information Modelling (BIM) in the Nigerian Construction Small and Medium-Sized Enterprises (SMEs)

2020 ◽  
Vol 12 (9) ◽  
pp. 3710 ◽  
Author(s):  
Abdullahi B. Saka ◽  
Daniel W. M. Chan ◽  
Francis M. F. Siu
Keyword(s):  
Developing Countries ◽  
Digital Divide ◽  
Construction Industry ◽  
External Environment ◽  
Organizational Readiness ◽  
Structural Modelling ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Building Information ◽  
Modelling Approach

The small and medium-sized enterprises (SMEs) which are the backbone of any economy are often on the disadvantaged side of the digital divide in the construction industry. With the advent of building information modelling (BIM), the SMEs are facing challenges and are slow with its uptake. Hitherto, extant research studies on BIM have focused primarily on the large firms and there is an observed trend of underrepresentation of the SMEs in BIM studies. Thus, this paper aims to investigate the major drivers of sustainable adoption of Building Information Modelling in SMEs and the dynamics of these drivers in developing countries using interpretive structural modelling approach and Matrice d’Impacts croises-multipication applique a classement (MICMAC) analysis. The findings reveal that organizational readiness is of utmost importance for the proliferation of BIM in SMEs. Also, the independent drivers which are the most important drivers consist of BIM characteristics, internal and external environment drivers and thus portray the BIM adoption as a complex socio-technical system. This study categorizes the drivers for easy intervention of SMEs’ managers and policymakers. It contributes to the nascent studies of BIM adoption in SMEs of developing countries.

Profound barriers to building information modelling (BIM) adoption in construction small and medium-sized enterprises (SMEs)

2020 ◽  
Vol 20 (2) ◽  
pp. 261-284 ◽  
Author(s):  
Abdullahi B. Saka ◽  
Daniel W.M. Chan
Keyword(s):  
Developing Countries ◽  
Construction Industry ◽  
Design Methodology ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
The Will ◽  
Modelling Approach

Purpose This study aims to evaluate and investigate the dynamics of the barriers to building information modelling (BIM) adoption from the perspective of small and medium-sized enterprises (SMEs) in developing countries with the Nigerian construction industry as a case study. Design/methodology/approach An interpretive structural modelling approach was adopted to develop a hierarchical model of the interrelationships of the barriers. Also, the Matrice d’Impacts croises-multipication applique a classement analysis was used for categorisation of the barriers. Findings The findings revealed that the barriers are from a sociotechnical context and that SMEs have the will to drive BIM adoption by focussing more on their internal environment. Originality/value This study presented the adoption of BIM in SMEs, which is underrepresented in extant studies. Also, it contributes to the nascent discussion of BIM from the perspective of SMEs in developing countries.

Building Information Modelling Diffusion Research in Developing Countries: A User Meta-Model Approach

Buildings ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 264
Author(s):  
Samuel Adeniyi Adekunle ◽  
Obuks Ejohwomu ◽  
Clinton Ohis Aigbavboa
Keyword(s):  
Developing Countries ◽  
Construction Industry ◽  
Research Trend ◽  
Common Denominator ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Knowledge Domains ◽  
Body Of Knowledge ◽  
Scholarly Publications ◽  
Building Information

Building information modelling (BIM) has become a common denominator for information management, efficiency, collaboration, and productivity in the construction industry. The adoption of building information modelling has been assessed to be unequal in the construction industry the world over. It has been observed that developing countries are struggling with BIM adoption and are at a beginner stage in the process. Meanwhile, there have been different research efforts focused on advancing BIM diffusion in developing countries. This study focused on reviewing the research trend and knowledge domains of BIM research in developing countries. The study analysed scholarly publications from selected developing countries sourced from the Scopus database from 2005 to 2019; the study covered BIM research efforts since their commencement in developing countries. The study identified the different research trends and the current focus through visualisations using VOS viewer software. The most influential and productive researchers were also identified. This research contributes to the extant body of knowledge by synthesizing the state of the art of BIM research in developing countries. Furthermore, it provides the pre-COVID-19 BIM diffusion status in developing countries.

Building information modelling (BIM) and the return on investment: a systematic analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Apeesada Sompolgrunk ◽  
Saeed Banihashemi ◽  
Saeed Reza Mohandes
Keyword(s):  
Construction Industry ◽  
Return On Investment ◽  
Research Work ◽  
Value Drivers ◽  
Productivity Improvement ◽  
Building Information Modelling ◽  
Content Type ◽  
Factors Affecting ◽  
Information Modelling ◽  
Building Information

Purpose The purpose of this study is to identify and analyse the key measurable returning factors, value drivers and strategic benefits associated with building information modelling (BIM) return on investment (ROI). The findings of this study provide researchers and practitioners with up-to-date information in formulating appropriate strategies to quantify the monetary value of BIM. The suggested research agenda provided would also advance what is presently a limited body of knowledge relating to the evaluation of BIM ROI. Design/methodology/approach To fill the identified gap, this study develops a comprehensive systematic review of mainstream studies on factors affecting BIM ROI published from 2000 to 2020. A total of 23 academic records from different sources such as journals, conference proceedings, dissertation and PhD theses were identified and thoroughly reviewed. Findings The reported BIM ROI ranged greatly from −83.3% to 39,900%. A total of 5 returning factors, namely, schedule reduction and compliance, productivity improvement, request for information reduction, rework reduction and change orders reduction were identified as the most commonly reported factors that influence BIM ROI. Four quantification techniques including general assumptions-based theoretical model, perceived BIM ROI based on survey, factors affecting BIM ROI with no reported ROI and quantified BIM ROI based on a case study were observed and pointed out in the review, together with their limitations. Finally, three major gaps were raised as the lack of consideration on the likelihood of BIM assisting in a construction project, intangible returning factors influencing BIM-based projects and industry standards in benchmarking BIM ROI. Practical implications The outcomes of this study would assist practitioners by providing the current evaluation techniques that address the limitations with BIM investment and present issues relating to the economic evaluation of BIM in the construction industry. It is also expected that presenting a deeper and wider perspective of the research work performed until now will direct a more focussed approach on productivity improvement efforts in the construction industry. Originality/value This study identifies and analyses the key measurable returning factors, value drivers and strategic benefits associated with BIM ROI on an industry scale rather than a particular organisation or a project scale.

scholarly journals BIM-based Collaborative Management and Intelligent Manufacturing in the Shenzhong Link Project

2019 ◽  
Vol 136 ◽  
pp. 01038
Author(s):  
Cheng Liu ◽  
Qinghan Bu ◽  
Shutao Lin ◽  
Faxiong Li
Keyword(s):  
Construction Industry ◽  
Intelligent Manufacturing ◽  
Digital Design ◽  
Collaborative Management ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Management Platform ◽  
Building Information ◽  
Infrastructure Project ◽  
Reducing Costs

Building Information Modelling (BIM) technology has become a central topic in infrastructure construction industry recently in China. This paper describes the applications of BIM technology, including 3D digital design, intelligent manufacturing, smart site and BIM-based collaborative management platform, in a mega infrastructure project, the Shenzhong Link. Through BIM technology, Shenzhong Link strives to achieve the goal of “improving quality, increasing efficiency, reducing costs and achieve traceability”

scholarly journals An historical building information modelling approach for the preventive conservation of historical constructions: Application to the Historical Library of Salamanca

2021 ◽  
Vol 121 ◽  
pp. 103449
Author(s):  
Rocío Mora ◽  
Luis Javier Sánchez-Aparicio ◽  
Miguel Ángel Maté-González ◽  
Joaquín García-Álvarez ◽  
María Sánchez-Aparicio ◽  
...  
Keyword(s):  
Historical Building ◽  
Building Information Modelling ◽  
Preventive Conservation ◽  
Information Modelling ◽  
Building Information ◽  
Modelling Approach

scholarly journals Challenges of Building Information Modelling (BIM) from the Malaysian Architect’s Perspective

2019 ◽  
Vol 266 ◽  
pp. 05003
Author(s):  
Khairool Aizat Ahmad Jamal ◽  
Mohammad Fadhil Mohammad ◽  
Norfashiha Hashim ◽  
Mohamed Rizal Mohamed ◽  
Mohd Adib Ramli
Keyword(s):  
Construction Industry ◽  
Internal Factors ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Current State ◽  
Operational Level ◽  
The People ◽  
Key Players ◽  
Building Information ◽  
The Government

Malaysia is experiencing high economic growth which requires the construction industry to fulfill development demands. Building Information Modelling (BIM) had been widely publicized by the government in order to increase the industry’s productivity by instigating numerous initiatives aimed to spearhead its progression. In contrast with the aspiration, architects as key players of construction industry are still facing issues in adopting BIM into practice. Previous researches had broadly covered about BIM in construction industry, but few concentrations in specific to the local architect thus imposing gap of knowledge. In addressing the issues, the research aim to probe the current state of BIM implementation, primarily on the challenges that hinders its adoption. The BIM factors which covers people, process, policy and technology were derived and investigated through the use of 322 questionnaires distributed to architects at management and operational level. The study revealed the key barriers that contributes towards the problem is within the people factor, where majority highlighted the lacked of skilled and experienced BIM workforce which contributes towards steep learning environment as well as high cost of applying BIM. Consequently, several key strategic solutions had been indicated through both external and internal factors in addressing the challenge of BIM. Results suggested that there is a need of further support from the industry’s professional bodies, development of legal instruments, BIM enforcement, specific BIM education as well as BIM R&D programs.

Emerging technical risks from the application of building information modelling

2020 ◽  
Vol 18 (3) ◽  
pp. 195-212
Author(s):  
Moshabab Aljarman ◽  
Halim Boussabaine ◽  
Khalid Almarri
Keyword(s):  
Construction Industry ◽  
Primary Data ◽  
Successful Implementation ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Building Information ◽  
Technical Risks ◽  
Software Platforms ◽  
Modelling Data

Purpose Building information modelling (BIM) is not without risk, as the greater reliance on information technology has associated technical risks. Thus, the purpose of this paper is to assess the perceptions of the users of BIM regarding the likelihood of emergence of technical risks which might influence the successful application of BIM, to facilitate the successful implementation of BIM in the construction industry. Design/methodology/approach The primary data were collected via a questionnaire to document the BIM risks, where 105 responses were recorded from constructors, consultants, cost consultants and other professionals from the UK construction industry. Subsequently, the analysis of the results was driven by univariate and inferential statistics (ANOVA) to assess the perception of risk emergence. Findings The study found the most likely technical risks that might emerge from BIM application. These risks are complexity of transferring modelling data from one program to another, lack of understanding of the BIM for the different software platforms, interoperability shortcomings, failure to discover errors in the model and risks of different software platforms. Practical implications The results will certainly intensify the discussion about BIM risks, risk allocation and all other aspects that are related to BIM contractual processes. Also, the compiled list of risks will help stakeholders in assessing financial implications that may result from BIM application. Originality/value Important technical risks have been identified in the application of BIM. This renders a new understanding of the risks that might influence the successful application of BIM. The respondents generally agreed on the importance of the following risks: “complexity of transferring modelling data between programs from one program to another”, “lack of understanding of the BIM for the different software platforms”, “interoperability shortcomings”, “failure to discover errors in the model” and “risks of different software platforms”, which are in line with current literature.

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