This study was carried out to determine the contributions of accounting records in efficient performance of small scale business. Two hypotheses were formulated in line with the objectives of the study. Survey method was adopted and data were collected through the use of questionnaire. Data generated were analyzed with means, standard deviation and weighted value and the hypotheses formulated were tested using Z-test statistical technique. The study found The training of accountants by these institution and the various professional institutes should focus more on practical means of solving accounts reporting needs of small and medium scale enterprises; and that government should provide adequate financial assistance, this is because if there is adequate financial support, more unemployed Nigerians will engage in small scale enterprises thereby gain their means of living easily than looking for unavailable while collar job. The researchers recommend that the training of accountants by these institution and the various professional institutes should focus more on practical means of solving accounts reporting needs of small and medium scale enterprises; and that government should provide adequate financial assistance, this is because if there is adequate financial support, more unemployed Nigerians will engage in small scale enterprises thereby gain their means of living easily than looking for unavailable while collar job.

Forecasting is an important part of governments' monetary and fiscal policies. Every forward-looking government uses economic forecasting as a necessary prerequisite for the success of its monetary and fiscal policies. Though economic forecasts are necessary, as they are essential underlying features of governments' monetary and fiscal policies, economic forecasting is a difficult task. The difficulty in economic forecasting arises from the interplay of variables which certainly produces forecast errors. This study focused on minimizing the impact of forecast error on government monetary and fiscal policies through the use of suitable forecasting software. Hence in this study, forecasting software are examined as necessary tools for minimizing the impact of forecast errors on governments' monetary and fiscal policies. Data is collected from both primary and secondary sources to elicit useful information from stakeholders in Forecasting Industry.The result of the study shows that there is a positive relationship between the use of forecasting software and minimizing the impact of forecast error on governments' monetary and fiscal policies. The study revealed that the use of sound software, devoid of mathematical errors and inappropriate methods, will minimize the impact of forecast error on governments' monetary and fiscal policies. The study also revealed that the major way to ensure an effective forecasting process and reduce forecast errors is to make use of intelligent forecast software that raises forecast accuracy.

This study focuses on developing an effective employee performance appraisal system and employees’ perception of justice with the appraisal outcome. The study tries to identify the various techniques used in the appraisal process, the error(s) associated with each technique, all known metrics of performance measurement, and best ways of capturing appraisal data. This study is imperative in view of the fact that most existing appraisal system limit staff performance to competence only. The current system uses generic ratings for all workers irrespective of their job roles and do not employ biometrics in the appraisal process. Leveraging on the potentials of information and communications technology (ICT) helps to harmonize all issues embedded in the current appraisal system. Data was collected from both primary and secondary sources in order to elicit information from stakeholders. Some hypotheses were adopted. Questionnaires were also used to help in data collection from both stake holders and workers in general. Hypothesises were tested using chi-square with degree of freedom (d.f.) = (n-1) = 4 and level of significance (α) is 0.05. Pie chart was also use in the analysis. Results show that there is a high level of perception of injustice with the present appraisal system by stakeholders. Result also shows that existing appraisal systems limits workers performance to competence only. It was revealed that an effective appraisal system should be technology-driven. Technology-driven employee performance appraisal system utilizes all known matrices of performance measurement in the appraisal process. This approach to workers appraisal would bring about transparency and efficiency in the system. It would also bring about wide participation in the appraisal process. Furthermore, it would create room for increased productivity, proper monitoring of workers performance and increased workers satisfaction.