Abstract
The data from a national survey into small tourism and hospitality firms were analysed to provide a deeper understanding of small business performance. The analysis used logistic regression to determine the model that best predicts the performance of these firms. The model identifies those organizational variables that greatly influence performance, as well as identifying the business activities that have little or no effect on performance. The practical implications of the findings are discussed, resulting in recommendations for improving the performance of small firms in the tourism and hospitality sector.
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