South African Air Quality Units are continuously undergoing changes, and
improving their performance remains a constant endeavour. In addition, these
units are also experiencing several challenges in terms of improving
communication across the different spheres, accessing air quality data and using
the information to support the decision-making required for efficient management
of air quality in South Africa. This study investigated the concept of output
efficiency within the South African air quality management context. Models that
enable efficient resource allocation can be used to assist managers in
understanding how to become efficient. There are, however, few models that
focus on the output efficiency of the public sector and air quality management
units. The primary purpose of the study was to develop a model to predict the
extent to which organisational efficiency could be explained by the percentage of
man-hours allocated to a range of management activities. In this study, the
development of a model using the logistic regression technique is discussed.
Data was collected for two financial years (2005/6 and 2006/7) from the air
quality officers in the national, provincial and local spheres of government
(N=228). The logistic regression model fitted indicates that the proportion of time
spent on knowledge management activities contributes the most to the likelihood
of an Air Quality Unit being efficient. The resource allocation model developed
will ensure that air quality officers allocate resources appropriately and improve
their output performance. / Graduate School for Business Leadership / D.B. L.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:unisa/oai:umkn-dsp01.int.unisa.ac.za:10500/4714 |
| Date | 05 1900 |
| Creators | Govender, Urishanie |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1 online resource (xi, 255 leaves:ill. ) |
Page generated in 0.0027 seconds