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Clinton Aigbavboa published an article in May 2018.
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(1970 - 2018)
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Article 0 Reads 0 Citations Digitalising asset management: concomitant benefits and persistent challenges Published: 14 May 2018
International Journal of Building Pathology and Adaptation, doi: 10.1108/ijbpa-09-2017-0036
Advancements in digital technologies have provided significant opportunities to improve the Architecture, Engineering, Construction and Owner-operated (AECO) sector’s performance through superior data management, streamlined processes and cooperative working practices. However, whilst academic literature widely espouses these benefits during the design and construction phases of development, research suggests that the operational phase of a building’s lifecycle has yet to fully realise performance improvements available through the application of digital modelling technology. The purpose of this paper is to synthesise extant digital modelling, asset management and emergent digital asset management literature, to report upon the beneficial implications of digitalised asset management and identify obstacles hampering its adoption in industry. A componential synthesis of future work reported upon in extant literature is organised into thematic categories that indicate potential research avenues and a trajectory for digital asset management research and practice. Themes identified include: imprecise Building Information Modelling definitions; isolated software development; data interoperability; intellectual property and virtual property rights; and skills and training requirements. Notably, increased environmental performance also arose as a theme requiring further research but received considerably less academic coverage than the other obstacles identified. The work presents a comprehensive review of digital technologies utilised within the AECO sector and as such provides utility to researchers, policy makers and practitioners to enhance their knowledge capabilities.
Article 0 Reads 0 Citations Building design for people with dementia: a case study of a UK care home Published: 08 May 2018
Facilities, doi: 10.1108/f-06-2017-0062
This research studies the impact that building design has upon the quality of life for residents of a care home who have dementia. To present a balanced perspective, carers within the care home also participate in the research. A case study methodological approach was adopted using one care home, ten residents and five staff as a sample frame. During interviews conducted, participants were asked semi-structured questions on how building design features impact upon the quality of life of residents. Questions posed focused upon key design principles that emerged from a detailed review of extant literature. Building design for people with dementia must consider a complex array of features in order to provide a safe and habitable living space for residents and family members who visit. This living space must also be suitably utilitarian and provide a workable environment for staff. Hence, an appropriate balance between these two competing requirements must be attained and often a tailor made solution is required that fits the individual’s level of dementia. Three prominent areas that study participants expressed a desire for were: i) a safe environment; ii) support for wayfinding, orientation and navigation; and iii) access to nature and the outdoors. The work reports upon the rarely discussed issue of building design for people with dementia and could be utilised by policy makers and construction firms to enhance their knowledge capabilities in this area. The research concludes with direction for future research which should seek to: i) provide more evidence-based research vis-a-vis perception enquiry; and ii) extend this seminal work to a larger sample of care homes or people with dementia living at home.
Article 2 Reads 0 Citations Towards reliable prediction of academic performance of architecture students using data mining techniques Published: 26 April 2018
Journal of Engineering, Design and Technology, doi: 10.1108/jedt-08-2017-0081
In recent years, there has been a tremendous increase in the number of applicants seeking placements in undergraduate architecture programs. It is important during the selection phase of admission at universities to identify new intakes who possess the capability to succeed. Admission variable (i.e. prior academic achievement) is one of the most important criteria considered during the selection process. This paper aims to investigates the efficacy of using data mining techniques to predict the academic performance of architecture students based on information contained in prior academic achievement. The input variables, i.e. prior academic achievement, were extracted from students’ academic records. Logistic regression and support vector machine (SVM) are the data mining techniques adopted in this study. The collected data were divided into two parts. The first part was used for training the model, while the other part was used to evaluate the predictive accuracy of the developed models. The results revealed that SVM model outperformed the logistic regression model in terms of accuracy. Taken together, it is evident that prior academic achievement is a good predictor of academic performance of architecture students. Although the factors affecting academic performance of students are numerous, the present study focuses on the effect of prior academic achievement on academic performance of architecture students. The developed SVM model can be used as a decision-making tool for selecting new intakes into the architecture program at Nigerian universities.
Article 1 Read 0 Citations The knowledge enablers of knowledge transfer: a study in the construction industries in Ghana Published: 03 April 2018
Journal of Engineering, Design and Technology, doi: 10.1108/jedt-02-2017-0015
This research investigates and identifies knowledge transfer (KT) enablers within the developing country of Ghana. These enablers act as mechanisms to stimulate knowledge creation, knowledge protection and build effective knowledge sharing (KS) behavior in construction companies – consequently, they are crucial to business survival in a globally competitive market. A perceptional questionnaire survey was used to elicit responses from construction practitioners using purposive and snowballing non-probability sampling techniques. Summary statistical analysis and a Chi-squared test was employed to uncover relationships between the independent and dependent variables. An empirical examination of data collected indicated that knowledge strategy, organizational culture, information technology, and knowledge leadership as knowledge enablers have a significant positive relationship with KT. Future research is however required to measure transfer within an organization viz-a-viz measure perception of such. The work presents a rare glimpse of the relationship between knowledge enablers and KT (particularly in a developing country context) and as such provides utility to policy makers and construction firms to enhance their knowledge capabilities.
Article 1 Read 0 Citations Prediction of Residential Satisfaction in South African Low-Income Housing: Role of Beneficiaries Published: 01 March 2018
Journal of Architectural Engineering, doi: 10.1061/(ASCE)AE.1943-5568.0000282
Article 1 Read 0 Citations Exploratory factor analysis on drivers of firm’s growth among construction SMEs in Ghana Published: 02 January 2018
African Journal of Science, Technology, Innovation and Development, doi: 10.1080/20421338.2017.1380932
The growth of construction SMEs is imperative if an economy is to develop. Numerous factors influence the growth of construction SMEs due to the nature of their operation. Their growth can also be driven their activities which can be classified as internal or external. This study explored the organic (internal) factors that drive the growth of construction SMEs. To achieve the goal of the study, the exploratory factor analysis (EFA) technique was adopted. The study used a sample size of 228 out of the 315 questionnaires (a response rate of 72.3%) which were administered to a population consisting of firm owners, SME managers and construction industry professionals engaged by SMEs operating within the ten regional capitals in Ghana. The study established entrepreneurial features, firm characteristics, the business environment and stakeholder involvement as the vital factors which influence the growth of construction SMEs. Findings from the study ranked stakeholder involvement (SKI) as the most important factor in the growth of construction SMEs and the business environment of a firm (BEF) as the least important. Given the explored factors which influence the growth of construction SMEs in Ghana, the results have established their respective values for both KMO and Bartlett’s Test of Sphericity which makes the findings fit for further analytical test on firm’s growth.