The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing de... more The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing delivery amidst rapid urbanization and rising construction costs. Current housing strategies have failed to offer a lasting solution to the crisis. To address these issues, this study advocates the adoption of Fourth Industrial Revolution (4IR) technologies for sustainable housing. Past literature highlights the versatility of 4IR technologies, prompting an examination of their suitability and benefits for housing delivery. Thus, this study was aimed at evaluating suitable 4IR technologies for housing delivery and the benefits of adopting the technologies for sustainable housing delivery. The data used was collected via random sampling from stakeholders in the housing sector and analyzed using SPSS V 24, including mean scores, frequencies, and principal component analysis (PCA). The KMO and Bartlett’s test of sphericity confirmed the data appropriate for PCA and identified three key components of 4IR technology: Immersive Technologies, Smart Connectivity, and Automated Construction Sites suitable for sustainable housing delivery. These components enhance deci-sion-making, operational efficiency, and project management throughout the housing delivery process. The study emphasizes the potential of 4IR technologies to transform the housing sector in KSA sustainably, offering insights for both practice and research.
Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
arc... more Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate the roles of AI and ML in improving construction processes and developing more sustainable communities. This study intends to determine the various roles played by AI and ML in the development of sustainable communities and construction practices via an in-depth assessment of the current literature. Furthermore, it intends to predict future research trends and practical applications of AI and ML in the built environment. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, this study highlights the roles that AI and ML technologies play in building sustainable communities, both indoors and out. In the interior environment, they contribute to energy management by optimizing energy usage, finding inefficiencies, and recommending modifications to minimize consumption. This contributes to reducing the environmental effect of energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges. They can monitor air quality, noise levels, and waste management systems to quickly discover and minimize pollution sources. Likewise, AI and ML applications in construction processes enhance planning, scheduling, and facility management.
International Journal of Construction Management, 2024
The shift towards net zero design for the construction industry poses complex challenges, which c... more The shift towards net zero design for the construction industry poses complex challenges, which can be likened to a three-headed hydra embodying energy, water, and carbon emissions. The industry stakeholders have grappled with addressing the challenges due to an ineffective reductionist approach that targets each head (energy, water, and carbon) separately. Recognizing their interdependence, this study proposes a holistic panacea approach to facilitate the industry's transition to net zero design. This was achieved using a mixed (quantitative and qualitative) research methodology. The qualitative study was conducted using a three-stage Delphi technique involving 13 experts. Structural equation modeling was used for the quantitative involving 200 construction stakeholders selected randomly. The study discovered that netzero design integrates sustainability concepts, such as net-zero energy, water, and carbon aimed at ensuring a sustainable built environment. Factors like innovation, organizational culture, and construction project management were identified as pivotal in steering the construction industry toward net zero design. The transition to net zero design can be impeded by poor cost management and restrictive organizational cultures. The study recommended that stakeholders in the construction industry should embrace a culture that supports the commitment to net zero design.
Proceedings of the Creative Construction Conference 2023
Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy le... more Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy level of satisfaction, poor indoor air quality, and other shenanigans responsible for the underperformance of building occupants and loss in property value. Thus, this study proposed adopting green building (GB) as an antidote for reducing the causes of SBS. The challenges impeding the adoption of GB as an antidote for SBS were also examined in this study. The methodology adopted in this study was broken down into three-phase, with the first phase focused on the data collection. The study adopted a random sampling in collecting data (questionnaire) from construction stakeholders within the study area. A total of one hundred and twenty (120) questionnaires were collected from the respondents within the study area. The questionnaire was analysed using SPSS V 24, adopting frequency distribution, mean score, principal component analysis, and multiple regression analysis. The causes of SBS are divided into the ambience and individual-related factors. The findings from the multiple regression analysis revealed that green building (GB) has a higher chance of functioning as an antidote for eliminating the ambiancerelated factors. Unfortunately, factors such as insufficient technical knowledge of green building components, green building occupants' behaviour, and maintenance/construction cost hinder the adoption of GB as an antidote for SBS. This study contributed to creating innovative ways towards eliminating SBS in Africa. The article presented a two-way directional framework that reveals the solution and challenges for adopting green building (GB) as an antidote for sick building syndrome (SBS). Numerous articles have identified the causes of SBS, but there is a shortage in the literature regarding a suitable solution or antidote for eliminating the specific cause of SBS.
International Journal of Construction Education and Research
ABSTRACT As the world continues to experience significant and dynamic changes, the concept of gra... more ABSTRACT As the world continues to experience significant and dynamic changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept has attracted the interest of educators, policymakers, researchers and graduates themselves. As a vital cog in the employability conversation, the quality of present-day graduates is highly dependent on the effectiveness of training received from higher education institutions. This formal training provides learners with discipline-specific skills (academic skills) and knowledge which helps them obtain a firm foundation in their chosen discipline or profession. This study seeks to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after graduation. A quantitative research approach was adopted to achieve this study’s objective with close-ended questionnaires developed and administered to built environment professionals based in the Gauteng province of South Africa. Retrieved data were analyzed using several statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital literacy and knowledge of the subject area. The outcomes of this study will be beneficial to several stakeholders involved in construction education and employability skills discussion
Purpose-The implementation of smart maintenance (SM) has greatly benefited facility managers, con... more Purpose-The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environment in the fourth industrial revolution (4IR) era remains a challenge. To reduce the challenge, this study aims at conducting a bibliometric analysis to unearth the critical success factors supporting SM implementation. The future direction and practice of SM in the construction industry were also explored. Design/methodology/approach-A bibliometric approach was adopted for reviewing articles extracted from the Scopus database. Keywords such as ("smart maintenance") OR ("intelligent maintenance") OR ("technological maintenance") OR ("automated maintenance") OR ("computerized maintenance") were used to extract articles from the Scopus database. The studies were restricted between 2006 and 2021 to capture the 4IR era. The initial extracted papers were 1,048; however, 288 papers were selected and analysed using VOSviewer software. Findings-The findings revealed that the critical success factors supporting the implementation of SM in the 4IR era are collaboration, digital twin design, energy management system and decentralized data management system. Regarding the future practice of SM in the 4IR era, it was also revealed that SM is possible to evolve into maintenance 4.0. This will support the autonomous maintenance of infrastructures in the built environment. Research limitations/implications-The use of a single database contributed to the limitation of the findings from this study. Practical implications-Despite the limitations, the findings of this study contributed to practice and research by providing stakeholders in the built environment with the direction of SM practice. Originality/value-Stakeholders in the built environment have clamoured to implement SM in the 4IR era. This study provided the critical success factors for adopting SM, guaranteeing the 4IR era. It also provides the research trends and direction of SM practice.
The menace of unaffordable housing delivery has spread like a virus across the countries within t... more The menace of unaffordable housing delivery has spread like a virus across the countries within the African continent. The virus has infested numerous activities and is responsible for the slum development and other social vices on the continent. Towards combating the virus this study makes a case for developing tiny houses as a vaccine for unaffordable housing delivery. The prospect and challenges of developing tiny houses were examined in this study. A random sampling technique was used in collecting data from construction and housing stakeholders within the study area. The data were collected with the aid of a questionnaire and analysed using statistical tools such as mean score, Kruskal Wallis test, and factor analysis. The study discovered that there is a high prospect for tiny houses in overcoming the menace of housing unaffordability. Findings from the factor analysis revealed that the development of tiny houses is hindered by occupant's acceptance, government permit/approval, and security. The study's findings revealed that stakeholders in the construction sector are willing to develop tiny houses. The study recommended that the government should create and support policies that encourage the development of tiny houses. The study provides the roadmap for creating an innovative method of ensuring housing affordability in Africa.
Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy le... more Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy level of satisfaction, poor indoor air quality, and other shenanigans responsible for the underperformance of building occupants and loss in property value. Thus, this study proposed adopting green building (GB) as an antidote for reducing the causes of SBS. The challenges impeding the adoption of GB as an antidote for SBS were also examined in this study. The methodology adopted in this study was broken down into three-phase, with the first phase focused on the data collection. The study adopted a random sampling in collecting data (questionnaire) from construction stakeholders within the study area. A total of one hundred and twenty (120) questionnaires were collected from the respondents within the study area. The questionnaire was analysed using SPSS V 24, adopting frequency distribution, mean score, principal component analysis, and multiple regression analysis. The causes of SBS are divided into the ambience and individual-related factors. The findings from the multiple regression analysis revealed that green building (GB) has a higher chance of functioning as an antidote for eliminating the ambiancerelated factors. Unfortunately, factors such as insufficient technical knowledge of green building components, green building occupants' behaviour, and maintenance/construction cost hinder the adoption of GB as an antidote for SBS. This study contributed to creating innovative ways towards eliminating SBS in Africa. The article presented a two-way directional framework that reveals the solution and challenges for adopting green building (GB) as an antidote for sick building syndrome (SBS). Numerous articles have identified the causes of SBS, but there is a shortage in the literature regarding a suitable solution or antidote for eliminating the specific cause of SBS.
International Journal of Building Pathology and Adaptation, 2023
Purpose-The inherent risks and their interactive impacts in megaproject development have been fou... more Purpose-The inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied. Design/methodology/approach-A systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh. Findings-A casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks was derived using the system dynamics (SD) modelling technique. The model was set up following British Standards on risk management to provide a generic tool for risk management in megaproject development. The study reveals that cost and time overruns at the developmental stage of the case project are caused mainly by the effects of interactions of risk factors from the external macro project environment on a timely basis. Originality/value-This article presented a model for simulating the socio-ecological risk confronting the management and construction of megaprojects. The use of SD provided the opportunity to explain the nature of all risks, particularly the SE risks in the past stages of project development.
International Journal of Construction Education and Research , 2022
ABSTRACT
As the world continues to experience significant and dynamic
changes, the concept of gra... more ABSTRACT As the world continues to experience significant and dynamic changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept has attracted the interest of educators, policymakers, researchers and graduates themselves. As a vital cog in the employability conversation, the quality of present-day graduates is highly dependent on the effectiveness of training received from higher education institutions. This formal training provides learners with discipline-specific skills (academic skills) and knowledge which helps them obtain a firm foundation in their chosen discipline or profession. This study seeks to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after graduation. A quantitative research approach was adopted to achieve this study’s objective with close-ended questionnaires developed and administered to built environment professionals based in the Gauteng province of South Africa. Retrieved data were analyzed using several statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital literacy and knowledge of the subject area. The outcomes of this study will be beneficial to several stakeholders involved in construction education and employability skills discussion
Construction Industry Development Board Postgraduate Research Conference CIDB 2022: Towards a Sustainable Construction Industry: The Role of Innovation and Digitalisation , 2023
The menace of unaffordable housing delivery has spread like a virus across the countries within t... more The menace of unaffordable housing delivery has spread like a virus across the countries within the African continent. The virus has infested numerous activities and is responsible for the slum development and other social vices on the continent. Towards combating the virus this study makes a case for developing tiny houses as a vaccine for unaffordable housing delivery. The prospect and challenges of developing tiny houses were examined in this study. A random sampling technique was used in collecting data from construction and housing stakeholders within the study area. The data were collected with the aid of a questionnaire and analysed using statistical tools such as mean score, Kruskal Wallis test, and factor analysis. The study discovered that there is a high prospect for tiny houses in overcoming the menace of housing unaffordability. Findings from the factor analysis revealed that the development of tiny houses is hindered by occupant's acceptance, government permit/approval, and security. The study's findings revealed that stakeholders in the construction sector are willing to develop tiny houses. The study recommended that the government should create and support policies that encourage the development of tiny houses. The study provides the roadmap for creating an innovative method of ensuring housing affordability in Africa.
PurposeThe study aims to develop a model that supports the application of data science techniques... more PurposeThe study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.Design/methodology/approachThis study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful ...
Purpose-The study aims to develop a model that supports the application of data science technique... more Purpose-The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa. Design/methodology/approach-This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc. Findings-The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments. Originality/value-Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
Purpose-The study aims to develop a model that supports the application of data science technique... more Purpose-The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa. Design/methodology/approach-This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc. Findings-The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments. Originality/value-Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
International Journal of Building Pathology and Adaptation
PurposeThe inherent risks and their interactive impacts in megaproject development have been foun... more PurposeThe inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied.Design/methodology/approachA systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh.FindingsA casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks ...
Purpose-The inherent risks and their interactive impacts in megaproject development have been fou... more Purpose-The inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied. Design/methodology/approach-A systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh. Findings-A casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks was derived using the system dynamics (SD) modelling technique. The model was set up following British Standards on risk management to provide a generic tool for risk management in megaproject development. The study reveals that cost and time overruns at the developmental stage of the case project are caused mainly by the effects of interactions of risk factors from the external macro project environment on a timely basis. Originality/value-This article presented a model for simulating the socio-ecological risk confronting the management and construction of megaprojects. The use of SD provided the opportunity to explain the nature of all risks, particularly the SE risks in the past stages of project development.
Journal of Construction Project Management and Innovation, Jun 1, 2018
Total Quality Management (TQM) is managing people and business processes to ensure complete custo... more Total Quality Management (TQM) is managing people and business processes to ensure complete customer satisfaction at every stage. As building projects get large and becoming complex, clients are requiring a higher quality standard for project delivery with lower construction cost. This study intends to assess the constraint and challenges in the implementation of TQM of construction companies. The cross-sectional research design is used for this study and the population entails construction professionals in indigenous and expatriate construction companies in Nigeria. Random sampling procedure was used to select the respondents. A total of 50 questionnaires were distributed and 30 was retrieved and used for the analysis. It gives a response rate of 60%.Statistical Package for Social Science(SPSS) 17 th version is used to analyse using descriptive statistic and the Relative Importance Index(RII) of the level of importance of the factors were calculated. From the study is show that the factors affecting the implementation of TQM are management commitment factors, the role of quality department and training and education. The challenges of TQM are lack of available quality system documentation, lack of understanding of the process requirement and high cost to implement TQM. In conclusion, Nigeria construction companies do not have quality control and assurance manual that will be a guide to monitor the quality of the end products as such most projects are abandoned as a result of poor quality workmanship. It was therefore recommended that Nigeria construction companies should develop a framework for the purpose of quality standard and for them to compete with their counterpart globally.
Proceedings of the Creative Construction Conference 2019, 2019
Lean construction supply chain is a project management technique adopted from the manufacturing s... more Lean construction supply chain is a project management technique adopted from the manufacturing sector aimed at improving the performance of the construction industry. However, it's implementation is confronted with some barriers in the construction industry such as; poor understanding of lean concept and absence of framework explaining the application. Therefore, this study developed a framework for lean construction supply chain adopting a bibliometric analysis approach. Bibliometric analysis is a statistical analysis of articles for revealing the school of thought, issues and problems in an area of study. The articles adopted for the analysis of this study were extracted from Scopus, Google Scholar and other online databases. The retrieved articles were inputted into VOS viewer software to reveal the network analysis. The analysis showed the significant countries and school of thought supporting the lean construction supply chain. The findings from the analysis showed that the construction industry in most African countries is slow towards the adoption of the lean concept. The network analysis showed that the practice of lean construction supply chain revolves around waste reduction, just in time, integration and pre-fabrication. This practice formed the variables used for developing the framework. The study recommends that further research should be conducted to validate the framework developed from the study. The study contributes to improving the practice of lean thinking within the construction industry.
Globally, student enrolment in higher institutions has been increasing in recent times, and it is... more Globally, student enrolment in higher institutions has been increasing in recent times, and it is estimated that the growth will continue to improve. This phenomenon results in a situation where the university administrators are confronted with the challenge of managing the scarce accommodation facility among many students. Fire outbreak is a significant challenge confronting hostel management due to a large population of students occupying a single building. Thus, this study appraised fire safety precautions in student hostels using a University in Nigeria as a case study. The study adopted convenience sampling, in collecting data from student occupying the hostel within the school. A total of 100 questionnaires were distributed out of which 87 questionnaires were returned and used for the analysis. The questionnaire was analysed with SPSS adopting frequencies, mean score, and ANOVA test. The findings from the study show that preventing flammable materials into the hall of residence is the major fire safety precautions. Also, the causes of fire within the hall of residence is due to the reactive maintenance approach adopted by hall managers. The study recommends that fire drills should be conducted for students and the hall managers should adopt a proactive management system.
The development of the fourth industrial revolution has provided different inventions for assessi... more The development of the fourth industrial revolution has provided different inventions for assessing real-time locations among them includes RFID (Radio Frequency Identification). Thus, this study proposes fusing RFID with mobile technology for easy identification of construction workers on site towards enhancing construction safety. The study adopted convenience purposive sampling method in obtaining data from selected construction professionals in Gauteng Province South Africa. A total of 34 questionnaires were obtained from the construction professionals out of 40 that was distributed. The data were analyzed with SPSS V 24, using, frequency distribution. The result from the analysis shows that the construction professionals are willing to adopt RFID for construction safety purpose. The study concludes that fusing RFID with mobile technology will decrease occurrence of accident on construction site. The article provides an innovative approach towards improving the safety of construction workers as it changes the perception of safety personnel from a reactive point of view to a proactive approach. Hence, it is envisaged that innovative ideas for ensuring construction workers safety will require an interdisciplinary collaboration between computer scientist and safety personnel.
The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing de... more The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing delivery amidst rapid urbanization and rising construction costs. Current housing strategies have failed to offer a lasting solution to the crisis. To address these issues, this study advocates the adoption of Fourth Industrial Revolution (4IR) technologies for sustainable housing. Past literature highlights the versatility of 4IR technologies, prompting an examination of their suitability and benefits for housing delivery. Thus, this study was aimed at evaluating suitable 4IR technologies for housing delivery and the benefits of adopting the technologies for sustainable housing delivery. The data used was collected via random sampling from stakeholders in the housing sector and analyzed using SPSS V 24, including mean scores, frequencies, and principal component analysis (PCA). The KMO and Bartlett’s test of sphericity confirmed the data appropriate for PCA and identified three key components of 4IR technology: Immersive Technologies, Smart Connectivity, and Automated Construction Sites suitable for sustainable housing delivery. These components enhance deci-sion-making, operational efficiency, and project management throughout the housing delivery process. The study emphasizes the potential of 4IR technologies to transform the housing sector in KSA sustainably, offering insights for both practice and research.
Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
arc... more Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate the roles of AI and ML in improving construction processes and developing more sustainable communities. This study intends to determine the various roles played by AI and ML in the development of sustainable communities and construction practices via an in-depth assessment of the current literature. Furthermore, it intends to predict future research trends and practical applications of AI and ML in the built environment. Following the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines, this study highlights the roles that AI and ML technologies play in building sustainable communities, both indoors and out. In the interior environment, they contribute to energy management by optimizing energy usage, finding inefficiencies, and recommending modifications to minimize consumption. This contributes to reducing the environmental effect of energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges. They can monitor air quality, noise levels, and waste management systems to quickly discover and minimize pollution sources. Likewise, AI and ML applications in construction processes enhance planning, scheduling, and facility management.
International Journal of Construction Management, 2024
The shift towards net zero design for the construction industry poses complex challenges, which c... more The shift towards net zero design for the construction industry poses complex challenges, which can be likened to a three-headed hydra embodying energy, water, and carbon emissions. The industry stakeholders have grappled with addressing the challenges due to an ineffective reductionist approach that targets each head (energy, water, and carbon) separately. Recognizing their interdependence, this study proposes a holistic panacea approach to facilitate the industry's transition to net zero design. This was achieved using a mixed (quantitative and qualitative) research methodology. The qualitative study was conducted using a three-stage Delphi technique involving 13 experts. Structural equation modeling was used for the quantitative involving 200 construction stakeholders selected randomly. The study discovered that netzero design integrates sustainability concepts, such as net-zero energy, water, and carbon aimed at ensuring a sustainable built environment. Factors like innovation, organizational culture, and construction project management were identified as pivotal in steering the construction industry toward net zero design. The transition to net zero design can be impeded by poor cost management and restrictive organizational cultures. The study recommended that stakeholders in the construction industry should embrace a culture that supports the commitment to net zero design.
Proceedings of the Creative Construction Conference 2023
Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy le... more Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy level of satisfaction, poor indoor air quality, and other shenanigans responsible for the underperformance of building occupants and loss in property value. Thus, this study proposed adopting green building (GB) as an antidote for reducing the causes of SBS. The challenges impeding the adoption of GB as an antidote for SBS were also examined in this study. The methodology adopted in this study was broken down into three-phase, with the first phase focused on the data collection. The study adopted a random sampling in collecting data (questionnaire) from construction stakeholders within the study area. A total of one hundred and twenty (120) questionnaires were collected from the respondents within the study area. The questionnaire was analysed using SPSS V 24, adopting frequency distribution, mean score, principal component analysis, and multiple regression analysis. The causes of SBS are divided into the ambience and individual-related factors. The findings from the multiple regression analysis revealed that green building (GB) has a higher chance of functioning as an antidote for eliminating the ambiancerelated factors. Unfortunately, factors such as insufficient technical knowledge of green building components, green building occupants' behaviour, and maintenance/construction cost hinder the adoption of GB as an antidote for SBS. This study contributed to creating innovative ways towards eliminating SBS in Africa. The article presented a two-way directional framework that reveals the solution and challenges for adopting green building (GB) as an antidote for sick building syndrome (SBS). Numerous articles have identified the causes of SBS, but there is a shortage in the literature regarding a suitable solution or antidote for eliminating the specific cause of SBS.
International Journal of Construction Education and Research
ABSTRACT As the world continues to experience significant and dynamic changes, the concept of gra... more ABSTRACT As the world continues to experience significant and dynamic changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept has attracted the interest of educators, policymakers, researchers and graduates themselves. As a vital cog in the employability conversation, the quality of present-day graduates is highly dependent on the effectiveness of training received from higher education institutions. This formal training provides learners with discipline-specific skills (academic skills) and knowledge which helps them obtain a firm foundation in their chosen discipline or profession. This study seeks to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after graduation. A quantitative research approach was adopted to achieve this study’s objective with close-ended questionnaires developed and administered to built environment professionals based in the Gauteng province of South Africa. Retrieved data were analyzed using several statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital literacy and knowledge of the subject area. The outcomes of this study will be beneficial to several stakeholders involved in construction education and employability skills discussion
Purpose-The implementation of smart maintenance (SM) has greatly benefited facility managers, con... more Purpose-The implementation of smart maintenance (SM) has greatly benefited facility managers, construction project managers and other stakeholders within the built environment. Unfortunately, its actualization for stakeholders in the built environment in the fourth industrial revolution (4IR) era remains a challenge. To reduce the challenge, this study aims at conducting a bibliometric analysis to unearth the critical success factors supporting SM implementation. The future direction and practice of SM in the construction industry were also explored. Design/methodology/approach-A bibliometric approach was adopted for reviewing articles extracted from the Scopus database. Keywords such as ("smart maintenance") OR ("intelligent maintenance") OR ("technological maintenance") OR ("automated maintenance") OR ("computerized maintenance") were used to extract articles from the Scopus database. The studies were restricted between 2006 and 2021 to capture the 4IR era. The initial extracted papers were 1,048; however, 288 papers were selected and analysed using VOSviewer software. Findings-The findings revealed that the critical success factors supporting the implementation of SM in the 4IR era are collaboration, digital twin design, energy management system and decentralized data management system. Regarding the future practice of SM in the 4IR era, it was also revealed that SM is possible to evolve into maintenance 4.0. This will support the autonomous maintenance of infrastructures in the built environment. Research limitations/implications-The use of a single database contributed to the limitation of the findings from this study. Practical implications-Despite the limitations, the findings of this study contributed to practice and research by providing stakeholders in the built environment with the direction of SM practice. Originality/value-Stakeholders in the built environment have clamoured to implement SM in the 4IR era. This study provided the critical success factors for adopting SM, guaranteeing the 4IR era. It also provides the research trends and direction of SM practice.
The menace of unaffordable housing delivery has spread like a virus across the countries within t... more The menace of unaffordable housing delivery has spread like a virus across the countries within the African continent. The virus has infested numerous activities and is responsible for the slum development and other social vices on the continent. Towards combating the virus this study makes a case for developing tiny houses as a vaccine for unaffordable housing delivery. The prospect and challenges of developing tiny houses were examined in this study. A random sampling technique was used in collecting data from construction and housing stakeholders within the study area. The data were collected with the aid of a questionnaire and analysed using statistical tools such as mean score, Kruskal Wallis test, and factor analysis. The study discovered that there is a high prospect for tiny houses in overcoming the menace of housing unaffordability. Findings from the factor analysis revealed that the development of tiny houses is hindered by occupant's acceptance, government permit/approval, and security. The study's findings revealed that stakeholders in the construction sector are willing to develop tiny houses. The study recommended that the government should create and support policies that encourage the development of tiny houses. The study provides the roadmap for creating an innovative method of ensuring housing affordability in Africa.
Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy le... more Sick building syndrome (SBS) is the leading cause of the reduction in the building's occupancy level of satisfaction, poor indoor air quality, and other shenanigans responsible for the underperformance of building occupants and loss in property value. Thus, this study proposed adopting green building (GB) as an antidote for reducing the causes of SBS. The challenges impeding the adoption of GB as an antidote for SBS were also examined in this study. The methodology adopted in this study was broken down into three-phase, with the first phase focused on the data collection. The study adopted a random sampling in collecting data (questionnaire) from construction stakeholders within the study area. A total of one hundred and twenty (120) questionnaires were collected from the respondents within the study area. The questionnaire was analysed using SPSS V 24, adopting frequency distribution, mean score, principal component analysis, and multiple regression analysis. The causes of SBS are divided into the ambience and individual-related factors. The findings from the multiple regression analysis revealed that green building (GB) has a higher chance of functioning as an antidote for eliminating the ambiancerelated factors. Unfortunately, factors such as insufficient technical knowledge of green building components, green building occupants' behaviour, and maintenance/construction cost hinder the adoption of GB as an antidote for SBS. This study contributed to creating innovative ways towards eliminating SBS in Africa. The article presented a two-way directional framework that reveals the solution and challenges for adopting green building (GB) as an antidote for sick building syndrome (SBS). Numerous articles have identified the causes of SBS, but there is a shortage in the literature regarding a suitable solution or antidote for eliminating the specific cause of SBS.
International Journal of Building Pathology and Adaptation, 2023
Purpose-The inherent risks and their interactive impacts in megaproject development have been fou... more Purpose-The inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied. Design/methodology/approach-A systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh. Findings-A casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks was derived using the system dynamics (SD) modelling technique. The model was set up following British Standards on risk management to provide a generic tool for risk management in megaproject development. The study reveals that cost and time overruns at the developmental stage of the case project are caused mainly by the effects of interactions of risk factors from the external macro project environment on a timely basis. Originality/value-This article presented a model for simulating the socio-ecological risk confronting the management and construction of megaprojects. The use of SD provided the opportunity to explain the nature of all risks, particularly the SE risks in the past stages of project development.
International Journal of Construction Education and Research , 2022
ABSTRACT
As the world continues to experience significant and dynamic
changes, the concept of gra... more ABSTRACT As the world continues to experience significant and dynamic changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept has attracted the interest of educators, policymakers, researchers and graduates themselves. As a vital cog in the employability conversation, the quality of present-day graduates is highly dependent on the effectiveness of training received from higher education institutions. This formal training provides learners with discipline-specific skills (academic skills) and knowledge which helps them obtain a firm foundation in their chosen discipline or profession. This study seeks to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after graduation. A quantitative research approach was adopted to achieve this study’s objective with close-ended questionnaires developed and administered to built environment professionals based in the Gauteng province of South Africa. Retrieved data were analyzed using several statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital literacy and knowledge of the subject area. The outcomes of this study will be beneficial to several stakeholders involved in construction education and employability skills discussion
Construction Industry Development Board Postgraduate Research Conference CIDB 2022: Towards a Sustainable Construction Industry: The Role of Innovation and Digitalisation , 2023
The menace of unaffordable housing delivery has spread like a virus across the countries within t... more The menace of unaffordable housing delivery has spread like a virus across the countries within the African continent. The virus has infested numerous activities and is responsible for the slum development and other social vices on the continent. Towards combating the virus this study makes a case for developing tiny houses as a vaccine for unaffordable housing delivery. The prospect and challenges of developing tiny houses were examined in this study. A random sampling technique was used in collecting data from construction and housing stakeholders within the study area. The data were collected with the aid of a questionnaire and analysed using statistical tools such as mean score, Kruskal Wallis test, and factor analysis. The study discovered that there is a high prospect for tiny houses in overcoming the menace of housing unaffordability. Findings from the factor analysis revealed that the development of tiny houses is hindered by occupant's acceptance, government permit/approval, and security. The study's findings revealed that stakeholders in the construction sector are willing to develop tiny houses. The study recommended that the government should create and support policies that encourage the development of tiny houses. The study provides the roadmap for creating an innovative method of ensuring housing affordability in Africa.
PurposeThe study aims to develop a model that supports the application of data science techniques... more PurposeThe study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa.Design/methodology/approachThis study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful ...
Purpose-The study aims to develop a model that supports the application of data science technique... more Purpose-The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa. Design/methodology/approach-This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc. Findings-The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments. Originality/value-Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
Purpose-The study aims to develop a model that supports the application of data science technique... more Purpose-The study aims to develop a model that supports the application of data science techniques for real estate professionals in the fourth industrial revolution (4IR) era. The present 4IR era gave birth to big data sets and is beyond real estate professionals' analysis techniques. This has led to a situation where most real estate professionals rely on their intuition while neglecting a rigorous analysis for real estate investment appraisals. The heavy reliance on their intuition has been responsible for the under-performance of real estate investment, especially in Africa. Design/methodology/approach-This study utilised a survey questionnaire to randomly source data from real estate professionals. The questionnaire was analysed using a combination of Statistical package for social science (SPSS) V24 and Analysis of a Moment Structures (AMOS) graphics V27 software. Exploratory factor analysis was employed to break down the variables (drivers) into meaningful dimensions helpful in developing the conceptual framework. The framework was validated using covariance-based structural equation modelling. The model was validated using fit indices like discriminant validity, standardised root mean square (SRMR), comparative fit index (CFI), Normed Fit Index (NFI), etc. Findings-The model revealed that an inclusive educational system, decentralised real estate market and data management system are the major drivers for applying data science techniques to real estate professionals. Also, real estate professionals' application of the drivers will guarantee an effective data analysis of real estate investments. Originality/value-Numerous studies have clamoured for adopting data science techniques for real estate professionals. There is a lack of studies on the drivers that will guarantee the successful adoption of data science techniques. A modern form of data analysis for real estate professionals was also proposed in the study.
International Journal of Building Pathology and Adaptation
PurposeThe inherent risks and their interactive impacts in megaproject development have been foun... more PurposeThe inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied.Design/methodology/approachA systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh.FindingsA casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks ...
Purpose-The inherent risks and their interactive impacts in megaproject development have been fou... more Purpose-The inherent risks and their interactive impacts in megaproject development have been found in numerous cases worldwide. Although risk management standards have been recommended for the best practice in engineering construction projects, there is still a lack of systematic approaches to describing the interactions. Interactions such as social, technical, economic, ecological and political (STEEP) risks have complex and dynamic implications for megaproject construction. For a better understanding and effective management of megaprojects such as the Edinburgh Tram project, the dynamic interaction of concomitant risks must be studied. Design/methodology/approach-A systems dynamic methodology was adopted following the comprehensive literature review. Documentary data were gathered from the case study on Tram Network Project in Edinburgh. Findings-A casual loop of typical evolution of key indicators of risks was then developed. A hypothesised model of social and ecological (SE) risks was derived using the system dynamics (SD) modelling technique. The model was set up following British Standards on risk management to provide a generic tool for risk management in megaproject development. The study reveals that cost and time overruns at the developmental stage of the case project are caused mainly by the effects of interactions of risk factors from the external macro project environment on a timely basis. Originality/value-This article presented a model for simulating the socio-ecological risk confronting the management and construction of megaprojects. The use of SD provided the opportunity to explain the nature of all risks, particularly the SE risks in the past stages of project development.
Journal of Construction Project Management and Innovation, Jun 1, 2018
Total Quality Management (TQM) is managing people and business processes to ensure complete custo... more Total Quality Management (TQM) is managing people and business processes to ensure complete customer satisfaction at every stage. As building projects get large and becoming complex, clients are requiring a higher quality standard for project delivery with lower construction cost. This study intends to assess the constraint and challenges in the implementation of TQM of construction companies. The cross-sectional research design is used for this study and the population entails construction professionals in indigenous and expatriate construction companies in Nigeria. Random sampling procedure was used to select the respondents. A total of 50 questionnaires were distributed and 30 was retrieved and used for the analysis. It gives a response rate of 60%.Statistical Package for Social Science(SPSS) 17 th version is used to analyse using descriptive statistic and the Relative Importance Index(RII) of the level of importance of the factors were calculated. From the study is show that the factors affecting the implementation of TQM are management commitment factors, the role of quality department and training and education. The challenges of TQM are lack of available quality system documentation, lack of understanding of the process requirement and high cost to implement TQM. In conclusion, Nigeria construction companies do not have quality control and assurance manual that will be a guide to monitor the quality of the end products as such most projects are abandoned as a result of poor quality workmanship. It was therefore recommended that Nigeria construction companies should develop a framework for the purpose of quality standard and for them to compete with their counterpart globally.
Proceedings of the Creative Construction Conference 2019, 2019
Lean construction supply chain is a project management technique adopted from the manufacturing s... more Lean construction supply chain is a project management technique adopted from the manufacturing sector aimed at improving the performance of the construction industry. However, it's implementation is confronted with some barriers in the construction industry such as; poor understanding of lean concept and absence of framework explaining the application. Therefore, this study developed a framework for lean construction supply chain adopting a bibliometric analysis approach. Bibliometric analysis is a statistical analysis of articles for revealing the school of thought, issues and problems in an area of study. The articles adopted for the analysis of this study were extracted from Scopus, Google Scholar and other online databases. The retrieved articles were inputted into VOS viewer software to reveal the network analysis. The analysis showed the significant countries and school of thought supporting the lean construction supply chain. The findings from the analysis showed that the construction industry in most African countries is slow towards the adoption of the lean concept. The network analysis showed that the practice of lean construction supply chain revolves around waste reduction, just in time, integration and pre-fabrication. This practice formed the variables used for developing the framework. The study recommends that further research should be conducted to validate the framework developed from the study. The study contributes to improving the practice of lean thinking within the construction industry.
Globally, student enrolment in higher institutions has been increasing in recent times, and it is... more Globally, student enrolment in higher institutions has been increasing in recent times, and it is estimated that the growth will continue to improve. This phenomenon results in a situation where the university administrators are confronted with the challenge of managing the scarce accommodation facility among many students. Fire outbreak is a significant challenge confronting hostel management due to a large population of students occupying a single building. Thus, this study appraised fire safety precautions in student hostels using a University in Nigeria as a case study. The study adopted convenience sampling, in collecting data from student occupying the hostel within the school. A total of 100 questionnaires were distributed out of which 87 questionnaires were returned and used for the analysis. The questionnaire was analysed with SPSS adopting frequencies, mean score, and ANOVA test. The findings from the study show that preventing flammable materials into the hall of residence is the major fire safety precautions. Also, the causes of fire within the hall of residence is due to the reactive maintenance approach adopted by hall managers. The study recommends that fire drills should be conducted for students and the hall managers should adopt a proactive management system.
The development of the fourth industrial revolution has provided different inventions for assessi... more The development of the fourth industrial revolution has provided different inventions for assessing real-time locations among them includes RFID (Radio Frequency Identification). Thus, this study proposes fusing RFID with mobile technology for easy identification of construction workers on site towards enhancing construction safety. The study adopted convenience purposive sampling method in obtaining data from selected construction professionals in Gauteng Province South Africa. A total of 34 questionnaires were obtained from the construction professionals out of 40 that was distributed. The data were analyzed with SPSS V 24, using, frequency distribution. The result from the analysis shows that the construction professionals are willing to adopt RFID for construction safety purpose. The study concludes that fusing RFID with mobile technology will decrease occurrence of accident on construction site. The article provides an innovative approach towards improving the safety of construction workers as it changes the perception of safety personnel from a reactive point of view to a proactive approach. Hence, it is envisaged that innovative ideas for ensuring construction workers safety will require an interdisciplinary collaboration between computer scientist and safety personnel.
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Papers by osunsanmi dayo
architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate
the roles of AI and ML in improving construction processes and developing more sustainable
communities. This study intends to determine the various roles played by AI and ML in the
development of sustainable communities and construction practices via an in-depth assessment of the
current literature. Furthermore, it intends to predict future research trends and practical applications
of AI and ML in the built environment. Following the Preferred Reporting Items for Systematic
Reviews (PRISMA) guidelines, this study highlights the roles that AI and ML technologies play in
building sustainable communities, both indoors and out. In the interior environment, they contribute
to energy management by optimizing energy usage, finding inefficiencies, and recommending
modifications to minimize consumption. This contributes to reducing the environmental effect of
energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges.
They can monitor air quality, noise levels, and waste management systems to quickly discover and
minimize pollution sources. Likewise, AI and ML applications in construction processes enhance
planning, scheduling, and facility management.
As the world continues to experience significant and dynamic
changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept
has attracted the interest of educators, policymakers, researchers and
graduates themselves. As a vital cog in the employability conversation,
the quality of present-day graduates is highly dependent on the
effectiveness of training received from higher education institutions.
This formal training provides learners with discipline-specific skills
(academic skills) and knowledge which helps them obtain a firm
foundation in their chosen discipline or profession. This study seeks
to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after
graduation. A quantitative research approach was adopted to achieve
this study’s objective with close-ended questionnaires developed and
administered to built environment professionals based in the Gauteng
province of South Africa. Retrieved data were analyzed using several
statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four
clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital
literacy and knowledge of the subject area. The outcomes of this
study will be beneficial to several stakeholders involved in construction education and employability skills discussion
architectural, engineering, and construction (AEC) sector. This systematic study aims to investigate
the roles of AI and ML in improving construction processes and developing more sustainable
communities. This study intends to determine the various roles played by AI and ML in the
development of sustainable communities and construction practices via an in-depth assessment of the
current literature. Furthermore, it intends to predict future research trends and practical applications
of AI and ML in the built environment. Following the Preferred Reporting Items for Systematic
Reviews (PRISMA) guidelines, this study highlights the roles that AI and ML technologies play in
building sustainable communities, both indoors and out. In the interior environment, they contribute
to energy management by optimizing energy usage, finding inefficiencies, and recommending
modifications to minimize consumption. This contributes to reducing the environmental effect of
energy generation. Similarly, AI and ML technologies aid in addressing environmental challenges.
They can monitor air quality, noise levels, and waste management systems to quickly discover and
minimize pollution sources. Likewise, AI and ML applications in construction processes enhance
planning, scheduling, and facility management.
As the world continues to experience significant and dynamic
changes, the concept of graduate employability remains a well-discussed subject in the body of knowledge. Consequently, the concept
has attracted the interest of educators, policymakers, researchers and
graduates themselves. As a vital cog in the employability conversation,
the quality of present-day graduates is highly dependent on the
effectiveness of training received from higher education institutions.
This formal training provides learners with discipline-specific skills
(academic skills) and knowledge which helps them obtain a firm
foundation in their chosen discipline or profession. This study seeks
to unearth the various discipline-specific skills (DSS) that built-environment graduates need to possess to thrive in the labor market after
graduation. A quantitative research approach was adopted to achieve
this study’s objective with close-ended questionnaires developed and
administered to built environment professionals based in the Gauteng
province of South Africa. Retrieved data were analyzed using several
statistical tools such as percentage, frequency, Mean Item Score, OneSample T-test and Exploratory Factor Analysis. Findings revealed four
clusters highlighting the key DSS required by built environment graduates. These include lifelong learning, hands-on experience, digital
literacy and knowledge of the subject area. The outcomes of this
study will be beneficial to several stakeholders involved in construction education and employability skills discussion