scholarly journals Current State of Building Information Modelling in the Nigerian Construction Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 63-77
Author(s):  
Oludolapo Olanrewaju ◽  
Sunday Ajiboye Babarinde ◽  
Comfort Salihu
Keyword(s):  
Life Cycle ◽  
Construction Industry ◽  
The Body ◽  
Design Stage ◽  
Research Approach ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Current State ◽  
Software Packages ◽  
Building Information

Building Information Modelling (BIM) has been applied to various aspects of construction processes in developed countries but Nigeria is yet to realize the full potentials of BIM. It has greater relevance for the commercial and public subsectors as it enhances construction productivity. This study examines current state of BIM in the Nigerian construction industry. The study adopted quantitative research approach by eliciting primary data through questionnaire which was administered to 150 respondents, of which 90 were returned and considered valid for further analysis. The data were analysed using mean item score and correlation. It was revealed that BIM awareness level is only high at the design stage of a building life cycle while it is extremely low at the construction and facility management stages. Also, the commonly used BIM compliant software packages in the Nigerian construction industry were identified to be: Autodesk Quantity Takeoff, Revit Architecture, and SketchUp. The study however recommends that: stakeholders of the construction industry should be educated on how to use BIM complaint software packages throughout the life cycle of a building and its benefits; Government should invest heavily on BIM related research so as to enhance the body of knowledge of BIM in Nigeria and develop a suitable framework for BIM implementation; federal Government should enact policies that will encourage the implementation of BIM in Nigeria.

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.

scholarly journals Factors influencing the adoption of Building Information Modelling (BIM) in the South African Construction and Built Environment (CBE) from a quantity surveying perspective

2021 ◽  
Vol 13 (3) ◽  
pp. 142-150
Author(s):  
Berco Venter ◽  
Sams Pfukani Ngobeni ◽  
Hendri du Plessis
Keyword(s):  
Built Environment ◽  
Construction Industry ◽  
South African ◽  
Research Approach ◽  
The South ◽  
Building Information Modelling ◽  
Information Modelling ◽  
Factors Influencing ◽  
Building Information ◽  
Quantity Surveying

Abstract The construction industry has often been described as stagnant and out-of-date due to the lack of innovation and innovative work methods to improve the industry (WEF, 2016; Ostravik, 2015). The adoption of Building Information Modelling (BIM) within the construction industry has been relatively slow (Cao et al., 2017), particularly in the South African Construction and Built Environment (CBE) (Allen, Smallwood & Emuze, 2012). The purpose of this study was to determine the critical factors influencing the adoption of BIM in the South African CBE, specifically from a quantity surveyor’s perspective, including the practical implications. The study used a qualitative research approach grounded in a theoretical framework. A survey questionnaire was applied to correlate the interpretation of the theory with the data collected (Naoum, 2007). The study was limited to professionals within the South African CBE. The study highlighted that the slow adoption of BIM within the South African CBE was mainly due to a lack of incentives and subsequent lack of investment towards the BIM adoption. The study concluded that the South African CBE operated mainly in silos without centralised coordination. The BIM adoption was only organic. Project teams were mostly project orientated, seeking immediate solutions, and adopted the most appropriate technologies for the team’s composition. The study implies that the South African CBE, particularly the Quantity Surveying profession, still depends heavily on other role-players in producing information-rich 3D models. Without a centralised effort, the South African Quantity Surveying professionals will continue to adopt BIM technology linearly to the demand-risk ratio as BIM maturity is realised in the South African CBE.

Analysis framework for the interactions between building information modelling (BIM) and lean construction on construction mega-projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Evans ◽  
Peter Farrell ◽  
Wael Zewein ◽  
Ayman Mashali
Keyword(s):  
Construction Industry ◽  
Statistical Tests ◽  
Lean Construction ◽  
Research Approach ◽  
Building Information Modelling ◽  
Content Type ◽  
Information Modelling ◽  
Key Stakeholders ◽  
Building Information ◽  
Research Findings

Purpose The construction industry encounters substantial challenges in its evolution towards sustainable development and to the adoption of building information modelling (BIM) technology and lean construction (LC) practices on construction mega-projects. This study aims to present critical challenges and to investigate the interactions of BIM and LC on construction mega-projects encountered by key stakeholders in their efforts to integrate BIM and LC. Design/methodology/approach A qualitative research approach is adopted to introduce and validate LC principles and BIM functionalities resulting from a detailed analysis of extant literature, followed by a conceptual analysis of the interactions between BIM and LC on construction mega-projects. A quantitative questionnaire survey is then used. Descriptive and inferential statistical tests are used for data analysis, and analysis of variance tests elaborate and validate results. Findings The research yielded ten BIM functionalities and ten LC principles, which are categorised in four principle areas and four BIM functionality groups. A research framework for analysis of the interaction between BIM and LC is then compiled. Originality/value Research findings and the proposed framework will enhance the adoption of BIM and LC practices on construction mega-projects and allow project key stakeholders to place emphasis on tackling crucial challenges and barriers identified in this research. The framework will guide and stimulate research; and as such, the approach adopted up to this point is constructive. The identified interactions between BIM and LC on construction mega-projects show positive synergies between the two.

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.

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