The limitations of the study include the following: First, the number of questionnaires returned may have reduced the validity. Sixty four out of eighty questionnaires were returned and out of these three of them were unfit for usage of this study as the respondents only answered the demographic part only rather than the part which addresses the objectives of the study. Secondly, the training effectiveness indicators used in this study are based on subjective responses to questions about basic production skills, basic quality tools, and labor turnover. A few scholars believe that subjective measures may be reliable as more objective indicators (Dess and Robinson, 1984). However, since objective indicators are believed to achieve greater accuracy, it is hoped that future studies, time and resources permitting, will employ both subjective and objective measures of training effectiveness, so that comparison can be made between the two. Thirdly, the study did not establish the relationship between the methods of delivering training and training effectiveness. Longitudinal data must be collected and studied over the long term, or comparison made with an appropriate control group if we are to determine whether there is a linkage between training and improved business performance. Fourthly, even if training systems leads to effective training, how can we justify that the benefits of better training justify its costs? Therefore, there is need for utility analysis may be helpful in answering such a question. Fifty due to limited size of the sample size, conclusions reached by this study may not be entirely applicable to very small manufacturing firms. Sixth characteristics such as length of the training and quality of the training environment were not considered in the research and finally, there is need for triangulation methods to be applied in data collection to get a holistic view on training and development practices in SMEs.