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Oludolapo Ibrahim Olanrewaju
Dollahills Research Lab, Dollasoft Technologies, Lagos 101283, Nigeria

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Journal article
Published: 09 August 2021 in Sustainability
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The Architecture, Engineering, Construction and Operations (AECO) industry is generally slow in adopting emerging technologies, and such hesitance invariably restricts performance improvements. A plethora of studies have focused on the barriers, Critical Success Factors (CSFs), lifecycle and drivers independently, but none have explored the impact of BIM drivers and awareness on the project lifecycle. This study empirically explored the impact of BIM drivers and awareness on the project lifecycle using Structural Equation Modelling (SEM). Initially, a conceptual model was developed from an extensive literature review. Thereafter, the model was tested using primary questionnaire data obtained from 90 construction professionals in Lagos, Nigeria. Emergent findings indicate that Building Information Modelling (BIM) drivers have a high impact on BIM awareness at the operation stage of the project lifecycle. The SEM model has an average R2 value of 23% which is moderate. Consequently, this research contributes to the existing body of knowledge by providing invaluable insight into the impact of BIM drivers on BIM awareness in the project lifecycle. Knowledge acquired will help industry stakeholders and government to develop appropriate policies to increase BIM uptake within contemporary practice.

ACS Style

Oludolapo Olanrewaju; Ahmed Kineber; Nicholas Chileshe; David Edwards. Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle. Sustainability 2021, 13, 8887 .

AMA Style

Oludolapo Olanrewaju, Ahmed Kineber, Nicholas Chileshe, David Edwards. Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle. Sustainability. 2021; 13 (16):8887.

Chicago/Turabian Style

Oludolapo Olanrewaju; Ahmed Kineber; Nicholas Chileshe; David Edwards. 2021. "Modelling the Impact of Building Information Modelling (BIM) Implementation Drivers and Awareness on Project Lifecycle." Sustainability 13, no. 16: 8887.

Journal article
Published: 05 November 2020 in Journal of Sustainable Architecture and Civil Engineering
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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.

ACS Style

Oludolapo Olanrewaju; Sunday Ajiboye Babarinde; Comfort Salihu. Current State of Building Information Modelling in the Nigerian Construction Industry. Journal of Sustainable Architecture and Civil Engineering 2020, 27, 63 -77.

AMA Style

Oludolapo Olanrewaju, Sunday Ajiboye Babarinde, Comfort Salihu. Current State of Building Information Modelling in the Nigerian Construction Industry. Journal of Sustainable Architecture and Civil Engineering. 2020; 27 (2):63-77.

Chicago/Turabian Style

Oludolapo Olanrewaju; Sunday Ajiboye Babarinde; Comfort Salihu. 2020. "Current State of Building Information Modelling in the Nigerian Construction Industry." Journal of Sustainable Architecture and Civil Engineering 27, no. 2: 63-77.

Short communication
Published: 01 October 2020 in Case Studies in Construction Materials
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Sustainability represents a critical challenge in the construction industry and many approaches have been developed to reduce the environmental impact of on-site construction processes. However, scant academic attention has been given to the environmental impact of logistical support for ready mixed concrete (RMC) on-site delivery emissions in developing countries. This paper develops a methodology for capturing emissions from RMC equipment and material during on-site delivery operations. A literature review was conducted to define and delineate upon greenhouse gases emitted during RMC operations and the appropriate methods to calculate them. A methodology was then developed and validated by analysing ten delivery cycle times in a case study. Data collected was analysed using simple descriptive summary statistics (viz: mean, bar charts and standard deviation). The study’s results illustrate that on-site emissions incurred were: CO2 account for 99.38 % of the total emissions from RMC equipment while HC (0.03 %), CO (0.11 %), NOx (0.26 %), PM10 (0.02 %), and SO2 (0.20 %) account for 0.62 %. Embodied CO2 in RMC also contributes majorly to emissions in on-site delivery operations. Alternative materials such as fly ash represent a viable means of reducing embodied emissions in RMC but proper handling is required to avert harmful environmental impacts. The study provides deeper insights into the on-site emissions arising from RMC delivery operations and a bespoke methodology that could be used as an organisational learning tool for RMC companies.

ACS Style

Oludolapo Ibrahim Olanrewaju; David John Edwards; Nicholas Chileshe. Estimating on-site emissions during ready mixed concrete (RMC) delivery: A methodology. Case Studies in Construction Materials 2020, 13, e00439 .

AMA Style

Oludolapo Ibrahim Olanrewaju, David John Edwards, Nicholas Chileshe. Estimating on-site emissions during ready mixed concrete (RMC) delivery: A methodology. Case Studies in Construction Materials. 2020; 13 ():e00439.

Chicago/Turabian Style

Oludolapo Ibrahim Olanrewaju; David John Edwards; Nicholas Chileshe. 2020. "Estimating on-site emissions during ready mixed concrete (RMC) delivery: A methodology." Case Studies in Construction Materials 13, no. : e00439.

Earlycite article
Published: 08 May 2020 in Engineering, Construction and Architectural Management
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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.

ACS Style

Oludolapo Ibrahim Olanrewaju; Nicholas Chileshe; Sunday Ajiboye Babarinde; Malindu Sandanayake. Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. Engineering, Construction and Architectural Management 2020, 27, 2931 -2958.

AMA Style

Oludolapo Ibrahim Olanrewaju, Nicholas Chileshe, Sunday Ajiboye Babarinde, Malindu Sandanayake. Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry. Engineering, Construction and Architectural Management. 2020; 27 (10):2931-2958.

Chicago/Turabian Style

Oludolapo Ibrahim Olanrewaju; Nicholas Chileshe; Sunday Ajiboye Babarinde; Malindu Sandanayake. 2020. "Investigating the barriers to building information modeling (BIM) implementation within the Nigerian construction industry." Engineering, Construction and Architectural Management 27, no. 10: 2931-2958.

Journal article
Published: 27 March 2020 in Journal of Engineering, Project, and Production Management
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Voice recognition technology has been in existence over several decades but its application in the construction industry has been minimal. Despite the several advantages it offers, its application has been limited to smart building integration only. This study has made a significant contribution by integrating voice recognition technology into key-in building quantities estimation software. The Visual Basic programming language was used to design and code the interface of the voice recognition system and key-in estimating software model. The prototype model continues to have some challenges because it cannot work efficiently in a noisy work environment and there is limited range of vocabulary it can recognize. This paper seeks to challenge the stakeholders of the construction industry to maximize the benefits of voice recognition technology and integrate it into other construction tasks. In addition, future research can consider integrating building information modeling and voice recognition technology.

ACS Style

Oludolapo Olanrewaju; Malindu Sandanayake; Sunday Ajiboye Babarinde. Voice Assisted Key-In Building Quantities Estimation System. Journal of Engineering, Project, and Production Management 2020, 10, 114 -122.

AMA Style

Oludolapo Olanrewaju, Malindu Sandanayake, Sunday Ajiboye Babarinde. Voice Assisted Key-In Building Quantities Estimation System. Journal of Engineering, Project, and Production Management. 2020; 10 (2):114-122.

Chicago/Turabian Style

Oludolapo Olanrewaju; Malindu Sandanayake; Sunday Ajiboye Babarinde. 2020. "Voice Assisted Key-In Building Quantities Estimation System." Journal of Engineering, Project, and Production Management 10, no. 2: 114-122.

Journal article
Published: 01 July 2019 in Journal of Engineering, Project, and Production Management
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There is a unique link between leadership qualities and organizational success. Leadership is the problem of many organizations but little attention is given to leadership-related research. This paper aimed to examine the qualities of a good leader using principal component analysis (PCA). The study adopted a quantitative research approach by eliciting perceptions of respondents on the qualities of a good leader through structured questionnaire. One hundred and fifty (150) questionnaires were administered to top management of companies within the construction industry, banking industry, food industry, and information technology industry. One hundred and twenty-seven (127) were retrieved and considered for further analysis. The data obtained were analyzed using PCA. The findings revealed the principal qualities of a good leader to be: 1) accessibility and dedication, 2) neutrality and modesty, 3) aspiration and attentiveness, 4) believe and aptitude, 5) dignity and amiability, 6) insight and confidence, 7) vitality and concentration, 8) originality and honesty, 9) responsibility and team spirit, 10) decency and self-assurance, 11) charitable, 12) comical and maintenance culture, and 13) reliability. It is recommended that leaders should demonstrate these leadership qualities to enhance organizational effectiveness and efficiency.

ACS Style

Oludolapo Olanrewaju; Victor Nnannaya Okorie. Exploring the Qualities of a Good Leader Using Principal Component Analysis. Journal of Engineering, Project, and Production Management 2019, 9, 142 -150.

AMA Style

Oludolapo Olanrewaju, Victor Nnannaya Okorie. Exploring the Qualities of a Good Leader Using Principal Component Analysis. Journal of Engineering, Project, and Production Management. 2019; 9 (2):142-150.

Chicago/Turabian Style

Oludolapo Olanrewaju; Victor Nnannaya Okorie. 2019. "Exploring the Qualities of a Good Leader Using Principal Component Analysis." Journal of Engineering, Project, and Production Management 9, no. 2: 142-150.

Journal article
Published: 29 June 2018 in Journal of Surveying, Construction & Property
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ACS Style

Olanrewaju O. I.; Idiake J.E.; Oyewobi L.O.; Akanmu W. P. GLOBAL ECONOMIC RECESSION: CAUSES AND EFFECTS ON NIGERIA BUILDING CONSTRUCTION INDUSTRY. Journal of Surveying, Construction & Property 2018, 9, 9 -18.

AMA Style

Olanrewaju O. I., Idiake J.E., Oyewobi L.O., Akanmu W. P. GLOBAL ECONOMIC RECESSION: CAUSES AND EFFECTS ON NIGERIA BUILDING CONSTRUCTION INDUSTRY. Journal of Surveying, Construction & Property. 2018; 9 (1):9-18.

Chicago/Turabian Style

Olanrewaju O. I.; Idiake J.E.; Oyewobi L.O.; Akanmu W. P. 2018. "GLOBAL ECONOMIC RECESSION: CAUSES AND EFFECTS ON NIGERIA BUILDING CONSTRUCTION INDUSTRY." Journal of Surveying, Construction & Property 9, no. 1: 9-18.