Ayodeji Emmanuel Oke

Bio: Ayodeji Emmanuel Oke is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Value (mathematics) & Sustainability. 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.

Establishing a common ground for the use of structural equation modelling for construction related research studies

Abstract: The use of structural equation modelling (SEM) for research studies in construction related field has been on the increase over the years. The essence of this study is not to compare the level of usage of SEM with other modelling methods, neither is it to examine its extent of adoption in construction management - as this has been researched in previous works - but to arrive at a common ground for future construction related research works, based on the findings and recommendations from existing studies on the subject of SEM. Research materials within and outside the field of construction management were reviewed and it was discovered that SEM using AMOS (covariance approach) is the most appropriate method for construction research studies. This is not just because it is the most available of the software programs, but because of the numerous benefits and advantages highlighted from previous studies. The study also recommended appropriate sample size as well as cut-off value for various required goodness-of-fit tests of SEM model.

Barriers to the adoption of value management in developing countries

Abstract: The purpose of this paper is to 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 construction industry.,The level of knowledge and adoption of VM practices, as well as the barriers to its adoption in the construction industry were assessed through a survey design. Construction professionals were sampled from the six geo-political zones in Nigeria through the use of a structured questionnaire. Factor analysis was conducted on data gathered on the barriers of VM.,The study revealed a moderate level of knowledge of VM among construction professionals. This implies that the problem of VM is not that of awareness, but readiness to adopt the system. The study also reveals that the barriers to the adoption of VM can be categorised under the general stakeholder’s barriers, training and education barriers, client barriers and government/top management barriers.,This study was conducted across the six geo-political zones of the country as against common practice of selecting a particular region or states to represent the entire country. The findings therefore show a true reflection of the barriers to VM adoption in the country and its recommendations can to a large extent promote the adoption of VM in the country and also other developing countries where construction projects are executed through similar method, style and approach.,This paper highlights the possible barriers to the adoption of VM in Nigeria construction industry and provides ways to avoiding these barriers in order to achieve better quality construction and value for money.

Mapping out research focus for robotics and automation research in construction-related studies: A bibliometric approach

Abstract: The adoption of robotics and automation (R&A) within the construction industry has been adjudged as slow, despite the possibility of it reducing the high risk posed on health and safety of humans by the activities of the industry. The call for research and development in this area of technology to improve its adoption in the delivery of construction projects is evident in past studies. Thus, this paper aims to conduct a review of R&A in construction-related fields with a view to revealing the area of focus of past studies.,A bibliometric approach was adopted for this study, and data used were gathered from the Scopus database. Keywords such as “robotics”, “automation” and “construction” were used to extract papers from the database. VOSviewer was used to prepare a co-authorship and co-occurrence map based on the bibliographic data gathered.,The findings revealed that focus is placed on construction automation, industrial robots and application, robots’ systems and designs, robotics in earthworks, and robots’ control and information system. Furthermore, currently, research focus in this area is tending towards a more digitalised application of R&A especially in the areas of 3D manufacturing.,The findings of this study are limited due to the use of a single database.,Despite its limitations, the findings open a knowledge gap that can be explored in developing countries particularly in Africa to improve construction delivery in the continent through R&A.,The study adopted the bibliometric approach in mapping out research focus in R&A – an aspect of digital technology that has not been given considerable attention in recent bibliometric and scientometric studies.

[ACM Press the 2nd ACM Workshop - Zurich, Switzerland (2010.11.02-2010.11.02)] Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building - BuildSys \'10 - Occupancy-driven energy management for smart building automation

Abstract: Buildings are among the largest consumers of electricity in the US. A significant portion of this energy use in buildings can be attributed to HVAC systems used to maintain comfort for occupants. In most cases these building HVAC systems run on fixed schedules and do not employ any fine grained control based on detailed occupancy information. In this paper we present the design and implementation of a presence sensor platform that can be used for accurate occupancy detection at the level of individual offices. Our presence sensor is low-cost, wireless, and incrementally deployable within existing buildings. Using a pilot deployment of our system across ten offices over a two week period we identify significant opportunities for energy savings due to periods of vacancy. Our energy measurements show that our presence node has an estimated battery lifetime of over five years, while detecting occupancy accurately. Furthermore, using a building simulation framework and the occupancy information from our testbed, we show potential energy savings from 10% to 15% using our system.

Applied Multivariate Techniques

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Measurement of potential absorption capacity in Colombia's innovative companies [Medición de la capacidad de absorción potencial en las empresas innovadoras de Colombia]

Abstract: El artículo tiene como objetivo evaluar el nivel de desarrollo de la capacidad de absorción realizada (RACAP) en las Pyme colombianas. Se parte de una muestra de 363 Pyme colombianas (Dane,2012), se usa una revisión de literatura con apoyo del análisis de contenido y un modelo de regresión lineal, que permiten mostrar la existencia de una correlación lineal positiva entre la adquisición y asimilación del conocimiento externo en las organizaciones objeto de estudio,. Palabras clave: Capacidades de absorción, capacidades de absorción potencial, medición de las capacidades de absorción ABSTRACT:

Contractor selection using the analytic network process

Abstract: Contractor selection is one of the main activities of clients. Without a proper and accurate method for selecting the most appropriate contractor, the performance of the project will be affected. The multi-criteria decisionmaking (MCDM) is suggested to be a viable method for contractor selection. The analytic hierarchy process (AHP) has been used as a tool for MCDM. However, AHP can only be employed in hierarchical decision models. For complicated decision problems, the analytic network process (ANP) is highly recommended since ANP allows interdependent influences specified in the model. An example is demonstrated to illustrate how this method is conducted, including the formation of supermatrix and the limit matrix.