International University of Malaya-Wales
Kuala Lumpur, Malaysia
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Wang C.,Huaqiao University | Wang C.,University of Malaya | Mohd-Rahim F.A.,University of Malaya | Chan Y.Y.,University of Malaya | Abdul-Rahman H.,International University of Malaya-Wales
Journal of Construction Engineering and Management | Year: 2017

Work-related stress in construction management can trigger impairment to employees' psychological health, and thus affect project performance, but psychological disorders' deleterious consequences on project performance have not received sufficient attention in the literature. This study aims to identify different types of psychological disorders in construction projects and to develop a fuzzy mapping to determine the impact of psychological disorders in the context of time, cost, and quality in construction management. Through a questionnaire survey assisted by pair-wise comparison among experienced construction personnel, the six most common psychological disorders, including depression, generalized anxiety disorders (GAD), obsessive-compulsive disorders (OCD), substance use disorders (SUD), acrophobia, and claustrophobia, were analyzed using principal component analysis (PCA), partial least-square (PLS) tests, and fuzzy analytic hierarchy process (fuzzy-AHP), and followed by visualization. Although various stressors such as work overload, role ambiguity and conflict, unpaid overtime, restrictive career progression, and the diverse range of personalities are common in construction management, different roles and positions are subjected to different levels of stress, which from high to low are project manager, civil engineer, architect, contractor, quantity surveyor, and mechanical and electrical (M&E) engineer. This research developed fuzzy mapping of psychological disorders in the context of project performance, which is useful for project management teams to reveal and tackle mental health problems in early stages. © 2016 American Society of Civil Engineers.

Ponnusamy V.,University Tunku Abdul Rahman | Jung L.T.,Petronas University of Technology | Ramachandran T.,International University of Malaya-Wales | Zaman N.,King Faisal University
ICIEECT 2017 - International Conference on Innovations in Electrical Engineering and Computational Technologies 2017, Proceedings | Year: 2017

Wireless ad hoc network differs from traditional network in terms of energy constraint of battery-backed devices. In most of the situation, wireless nodes operate on powered batteries without human intervention and have limited computation and energy capabilities. Very limited work has been conducted on energy harvesting approach for sustainanble energy management for networks where human intervention is undesirable. Moreover existing work on matured solar energy harvesting is not desirable for indoor shadowy networks and other potential energy sources are not mature for existing work. This study will propose animal behavior based environmental energy harvesting for wireless ad hoc networks. The proposed sustainable energy property yields better lifetime and self-healing capabilities in wireless ad hoc networks. This focuses on animal behavior algorithms to overcome the issues of poor energy management in wireless ad hoc networks. With this, bird foraging behavior on central place foraging (CPF) analogous to energy harvesting from the environment using central place foraging approach is proposed with detailed mapping. The given bio-inspired mechanism provides a self-healing mechanism for sustainable energy management yielding longer lifetime in ad hoc wireless networks. © 2017 IEEE.

Lin L.Y.,University of Kuala Lumpur | Abdul-Rahman H.,International University of Malaya-Wales | Chen W.,University of Kuala Lumpur
Malaysian Construction Research Journal | Year: 2017

Innovation has been known as one of the driving factors for continual growth of all firms. However, there is a dearth of scholarly effort addressing the relevance of innovation in the construction industry within a small-and-medium-enterprises (SMEs) setting. For this reason, the study aims to develop an innovation model that considers the effect of capabilities, such as entrepreneurship and networking, in achieving superior performance in construction SMEs. In particular, 'innovation activities' is defined as firms' adoption of two different types of new activities - technological and organizational innovations. Research strategy hinges on a quantitative approach, to which a sample of 750 general and/or specialized contracting SMEs located in Kuala Lumpur is drawn to participate in a questionnaire survey. Build on the collected data, a new innovation model is developed using partial least square (PLS) of structural equation modelling (SEM) tool. The findings reveal that entrepreneurship and networking play a significant role in spurring the contracting SMEs to innovate successfully and to develop superior firm performance. The new model is expected to offer insight for both practitioners and government policymakers on how to trigger a higher rate of innovation activities to ensure continuous growth among construction firms of SME size.

PubMed | Des Moines University, National University of Costa Rica, National University of Colombia, Brock University and 328 more.
Type: Journal Article | Journal: Ecology and evolution | Year: 2017

The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems ( collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.

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