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Ayodeji Emmanuel Oke

Researcher at University of Johannesburg

Publications -  246
Citations -  1902

Ayodeji Emmanuel Oke is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 14, co-authored 158 publications receiving 821 citations. Previous affiliations of Ayodeji Emmanuel Oke include Federal University of Technology Akure.

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Impact of environmental factors on building project performance in Delta State, Nigeria

TL;DR: In this article, the impact of environmental factors on building project performance in Delta State, Nigeria was assessed using mean score, Spearman correlation, Kendall's coefficient and Chi-square.
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Establishing a common ground for the use of structural equation modelling for construction related research studies

TL;DR: The use of structural equation modelling (SEM) for research studies in construction related field has been on the increase over the years as mentioned in this paper and it was discovered that SEM using AMOS (covariance approach) is the most appropriate method for construction research studies.
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Exploring the value management critical success factors for sustainable residential building – A structural equation modelling approach

TL;DR: Results showed that stakeholders and knowledge were crucial CSFs for implementing VM, and will be a guide for decision-makers to reduce costs and improve sustainability by introducing VMs in the Egyptian construction industry.
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Barriers to the adoption of value management in developing countries

TL;DR: In this paper, the authors determine the barriers to the adoption of value management (VM) in the construction industry of developing countries with a view to providing possible measures in avoiding these barriers and increasing the usage of the system within the industry.
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Mapping out research focus for robotics and automation research in construction-related studies: A bibliometric approach

TL;DR: In this article, a review of robotics and automation within the construction industry has been conducted with a view to revealing the area of focus of past studies, and the authors adopted the bibliometric approach in mapping out research focus in R&A.