ORIGINAL RESEARCH ARTICLE | Aug. 3, 2026
Integrated Forecasting and Resource Allocation Models for Financial and Operational Performance Management
Ahmed Erfan Nahian, Nirban Bhowmick, Saad Mirza, Ramsha Siddiqui
Page no 261-270 |
https://doi.org/10.36348/sjbms.2026.v11i08.001
Organizations frequently face challenges in balancing financial planning, operational resource utilization, and performance monitoring under changing market conditions. This study proposes an integrated analytical framework that combines time-series forecasting techniques with optimization-based resource allocation models to support organizational decision-making. The framework incorporates historical operational and financial data to estimate future demand patterns, revenue fluctuations, and resource requirements. Forecasting models are developed using statistical methods to identify trends and seasonal variations, while optimization procedures are applied to allocate resources under budgetary and operational constraints. Enterprise information systems are utilized to structure and process organizational data for analysis and reporting. The proposed approach is evaluated through simulation-based scenarios and comparative performance analysis using forecasting accuracy and resource utilization indicators. Results demonstrate improvements in planning accuracy, operational efficiency, and decision consistency. The framework provides a practical methodology for organizations seeking to improve financial and operational performance through data-driven planning and structured decision-support mechanisms.
This study examines the impact of government expenditure on economic development in Ondo State, Nigeria, using internally generated revenue (IGR) as a proxy. It focuses on three sectors: education, health, and agriculture, to assess their relative contributions to state revenue performance. The study employs an ex post facto design using secondary data from 2020 to 2024. Descriptive statistics, correlation analysis, and multiple regression techniques were applied to evaluate the relationship between sectoral expenditures and IGR, and to determine the statistical significance of each sector’s effect. Results show considerable variability in IGR, with education and health receiving consistently higher allocations than agriculture. Correlation analysis reveals positive associations between IGR and all three sectors. Regression analysis indicates that 89.3 percent of IGR variation is jointly explained by the three expenditures, with education showing a statistically significant positive effect, while health and agriculture show positive but borderline effects. Strategic allocation of public funds, particularly prioritising education, can enhance internally generated revenue and support economic development. Policymakers should adopt integrated budgeting to balance sectoral investments, maximise fiscal outcomes, and strengthen human capital development. The study provides state-level empirical evidence on the effectiveness of government spending in Nigeria, highlighting education as the most influential sector in driving revenue performance. It offers actionable recommendations for improving fiscal planning and resource allocation in sub-national governance contexts.
ORIGINAL RESEARCH ARTICLE | Aug. 14, 2026
Effect of KOBANA Entrepreneurial Business Model Practice on Economic Development of Igbo Communities in Nigeria
ILUNO Ezinne Chinyere
Page no 278-287 |
https://doi.org/10.36348/sjbms.2026.v11i08.003
There is need for a home-grown entrepreneurial business model that will enhance business success; thus, this study investigates the effect of kobana entrepreneurial business model practice on economic development of Igbo communities in South – East, Nigeria. The study employs survey design method. The scope of the study covers all the entrepreneurs in Onitsha, Nnewi, Awka, Enugu, Owerri, Aba, Umuahia and Abakaliki. Primary source of data was gathered through the instrument of questionnaire and focus group discussion. The study adopts purposive sampling technique. The independent variables are cultural values and norms, social networks and community bonds and associative entrepreneurship practice and the dependent variable is economic development. Both qualitative and quantitative analysis technique was used to analyze the data. The findings revealed that associative entrepreneurship has positively impacted on the sustainability, growth and performance of entrepreneurs from the study area. It was also found that the use of Kobana model by entrepreneurs from the study area enable them to overcome numerous challenges. Hence, we recommend that government and all the stake holders should encourage the practice of associative entrepreneurship by embarking on mass sensitization exercise and also through the enactment of various laws that will strengthen the practice in Nigeria.