Browsing by Author "Adesuyi, I.O"

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    Analyzing the Impact of Microfinance Banks Credit Variables on Micro, Small Enterprises Growth Indicators in South-West, Nigeria
    (IISTE : Research Journal of Finance and Accounting, 2020-06) Obadeyi, J.A; Ogbeide, Sunday; Adesuyi, I.O
    Despite several reforms both in the banking and informal sectors; it is sad that there have been dwindling development in both sectors. In view of this, this study analyzed the impact of Microfinance Banks (MFBs) credit variables on Micro Small Enterprises (MSEs) growth indicators in South-West, Nigeria. Sampled MFBs, MSEs and some South-West States were purposively selected. Secondary data was extracted from financial statements of eight selected MFBs from 2007-2016 (10years). Relationship between MFBs variables and MSEs’ growth was analyzed using Correlation matrix, while extent at which MFBs variables influenced MSEs growth was analyzed using panel regression. Results showed the relationship between MFBs credit variables and MSEs’ growth with an average ‘r’ at 68.56% (p<0.05); and the extent at which MFBs credit variables influenced MSEs growth (p<0.05) such as profit, total asset, number of employee growth and sales with R2 were 61.4%, 58.3%, 48.1% and 52.1%, respectively. The study concluded that MFBs credit variables influenced MSEs growth. It was recommended that MFBs should moderately increase loan size in order to improve MSEs’ business operations.
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    Discrete Economic Order Quantity (EOQ) and Quantity Reorder Point Inventory Control: Implication on Resource Optimization in Nigerian Manufacturing Companies
    (International Journal of Innovative Science and Research Technology, 2019) Adesuyi, I.O; Nwekpa, K.C; Bassey, J.U
     Purpose The purpose of this study is to explore the implication of discrete Economic order Quantity (EOQ) and Recorder point on the optimization of resources in Nigeria manufacturing companies.  Design/Methodology Approach A quantitative research design was employed of which secondary data obtained from the annual report and account of tern year period (2004-2013) from the studied firms were used. Data collected were estimated using Microsoft excel and exponential smoothing for each of the studied firms.  Findings The economic order Quantity (EOQ) that is the quantity that minimizes total cost of raw material for each of the studied firms were determine discretely and by exponential smoothing. The results obtained, compared, we found that the result obtained by discrete EOQ were higher than the corresponding results obtained by exponential smoothing. The implication is that the discrete EOQ method over estimates resource optimization.  Conclusion It is concluded that total cost of inventory is greatly reduced by the application of exponential smoothing method of EOQ and hence the essence of the method and the usefulness of this study.