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Keywords:
Air quality resource allocation model project management knowledge management output efficiency logistic regression.
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A resource allocation model to support efficient air quality management in South Africa
Abstract
Research into management interventions that create the required enabling environment for growth and development in South Africa are both timely and appropriate. In the research reported in this paper, the authors investigated the level of efficiency of the Air Quality Units within the three spheres of government viz. National, Provincial, and Local Depart-
ments of Environmental Management in South Africa, with the view to develop a resource allocation model. The inputs to the model were calculated from the actual man-hours spent on twelve selected activities relating to project management, knowledge management and
change management. The outputs assessed were aligned to the requirements of the mandates of these Departments. Several models were explored using multiple regressions and stepwise techniques. The model that best explained the efficiency of the organisations from the input
data was selected. Logistic regression analysis was identied as the most appropriate tool. This model is used to predict the required resources per Air Quality Unit in the dierent spheres of government in an attempt at supporting and empowering the air quality regime
to achieve improved output efficiency.
ments of Environmental Management in South Africa, with the view to develop a resource allocation model. The inputs to the model were calculated from the actual man-hours spent on twelve selected activities relating to project management, knowledge management and
change management. The outputs assessed were aligned to the requirements of the mandates of these Departments. Several models were explored using multiple regressions and stepwise techniques. The model that best explained the efficiency of the organisations from the input
data was selected. Logistic regression analysis was identied as the most appropriate tool. This model is used to predict the required resources per Air Quality Unit in the dierent spheres of government in an attempt at supporting and empowering the air quality regime
to achieve improved output efficiency.
