Small and medium sized construction firms, job satisfaction and job performance of employees are key issues when studying the human behaviors and attitudes. The nigerian construction industry is faced with challenges of employee performance which is affecting the organization's productivity, quality of work, duration of projects and finally on firm's profits. This paper aims to perform job analysis of personnel in the Nigerian construction industry, identify the level of job satisfaction of employees in small and medium sized firms, and examine the level of job performance of personnel, to investigate the relationship between job satisfaction and job performance of employee. Data was collected from employees in Nigerian small and medium sized construction firms through questionnaire to access the perception towards the level of satisfaction and performance. The questionnaire is a modified version of the job satisfaction index questionnaire (JSI) and performance rating index questionnaire (PRI). The mean score analysis identified ranking for the factors significant to job satisfaction and performance, which found that satisfaction with co-workers ranked highest with a mean score of 3.62 while satisfaction with pay ranked the lowest with a mean score of 2.56. The Job performance ranking found that personnel appearance ranked highest with a mean score of 3.70 while satisfaction with propensity to leave the company ranked the lowest with a mean score of 2.46. The paper also found that there is positive relationship between overall job satisfaction and job performance in small and medium sized firms. Several variables on Job management showed significant differences.
Artificial Neural Networks has gained considerable application in construction engineering and management in recent time. Over 100 resources published in refereed journals and conference proceedings were screened and reviewed with the view to exploring the trend and new directions of the applications of different ANN algorithms. The study revealed successful applications of ANNs in cost prediction, optimization and scheduling, risk assessment, claims and dispute resolution outcomes and decision making. It was observed that ANN have been applied to problems that are difficult to solve with traditional mathematical and statistical methods. The integration of ANN with other soft computing methods like Genetic Algorithm, Fuzzy Logic, Ant Colony Optimization, Artificial Bee Colony and Particle Swarm Optimization were also explored which generally indicated better results when compared with conventional ANNs. The study provides comprehensive repute of ANN in construction engineering and management for application in different areas for improved accuracy and reliable predictions.
Several adverse reports on quality performance drive the need to assess quality management practice in the Nigerian construction industry. Incidences of building failures and in extreme cases, building collapse have been attributed to poor quality management among other factors. This paper assesses the quality management practices of Nigerian construction firms intending to suggest appropriate courses of action for improving quality performance. Data were collected through questionnaires administered to management staff in 20 construction firms in Abuja, Nigeria. Findings from the study show that inspections and statistical quality control techniques are the most widely used quality management tools by construction firms in Nigeria. However, the study found that the preparation of quality management plans (QMP) and quality auditing (a measure of quality assurance in building production), is not popular among Nigerian construction firms. Inadequate planning arrangements for quality, poor communication of quality requirements and lack of awareness of the benefits of quality management were identified as the most significant issues affecting quality management practice. Therefore there is a low uptake of quality management practice principles within construction organizations in Nigeria. Hence, the need to create awareness for implementing quality management principles and concepts in its construction industry. Keywords: Assessment, Construction industry, Nigeria, Quality management, Quality standards
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