Search results

The malfunction variables of power stations are related to the areas of weather, physical structure, control and load behaviour. To predict temporal power failure is difficult due to their unpredictable characteristics. As high accuracy is normally required, the estimation of failures of short-term temporal prediction is highly difficult. This study presents a method for converting stochastic behaviour into a stable pattern, which can subsequently be used in a short-term estimator. For this conversion, K-means clustering is employed, followed by Long-Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) algorithms are used to perform the Short-term estimation. The environment, the operation and the generated signal factors are all simulated using mathematical models. Weather parameters and load samples have been collected as part of a data set. Monte-Carlo simulation using MATLAB programming has been used to conduct experimental estimation of failures. The estimated failures of the experiment are then compared with the actual system temporal failures and found to be in good match. Therefore, for any future power grid, there is a testbed ready to estimate the future failures.

Over the years, there have been calls for the integration of the Igbo Traditional Business School (I-TBS) into the contemporary entrepreneurship space, especially in Africa, to scale up entrepreneurial activities. The I-TBS model has demonstrated prominence in influencing entrepreneurial culture, skills transfer, start-up support mechanisms, enterprise success and sustainability; however, its reliability and replicability are often questioned. Among a myriad of issues, lack of comprehensive documentation that isolates the merits as well as demerits, is a concern. An understanding of I-TBS’ validity, reliability, replicability and compatibility are others. As a result, it has been difficult to accord the model the needed recognition. This desktop review chapter, is an effort to contribute to the improvement of the model, synthesise its strengths, weaknesses, opportunities, and threats with specific reference to the Igba-Boi entrepreneurship scheme. The Atlas-ti v8 software was used in the synthesis. Based on the review, attributes such as togetherness and solidarity in business, free transfer of skills, upholding entrepreneurial culture which are passed from generation to generation and building family/social ties were key strengths of the model. The weaknesses come in the form of lack of regulations to monitor irregularities, inappropriate contractual method and the abuse of mentees. Openings for interested individual to access training, assurance for start-up capital and partnership/collaboration options were key opportunities. False accusations of mentees, breaching settlement agreement, unfair dismissal of mentee, and lack of solid ground for justice, are the major threats. It is expected that these findings will form the basis for further research and policy actions to improve the model.

Africa is a vast, immensely diverse continent with hundreds of local languages, traditions, values, and cultures that shape the lives of its people. The vast resources available on the continent present numerous opportunities for economic development and prosperity. The preceding chapters in this volume have explored many of these resources, highlighting the importance of indigenous knowledge in driving sustainable business structures across Africa. This chapter concludes with practical recommendations for implementing and sustaining indigenous knowledge on the continent and building a more equitable and sustainable future for Africa. We anticipate that these observations and recommendations will aid African researchers, government and non-governmental organisations, educators, business actors and leaders, legislators, and the general public in thinking globally but acting locally to advance indigenous knowledge in Africa.

The purpose of this paper is to explore women’s participation in cooperative societies and the constraints in attaining management positions. Despite the importance of gender equality as a tool for national economic growth gaining prominent attention, women’s access to leadership and decision-making in cooperative societies remains under-researched.

This study hinges on management and gender theories and systematic literature reviews. This study used a descriptive survey research design for primary data derived from a purposive non-random sampling technique that selected seven (7) active cooperative societies in Awka-South Local Government Area of Anambra State. Structured questionnaires were administered to the selected sample of 129 members. The hypotheses were analyzed using the T-test statistical model.

This study revealed that social, legal, economic and cultural constraints affected women’s participation in cooperative societies in Awka, Anambra State. Also, that the African-based culture and family traditions, patriarchal societal system, household responsibilities and homemaker roles, religious associations, certain strict cooperative entry requirements, limitation on women’s access to resources and low paid wages and non-participatory training activities constrained the women. Therefore, the authors recommended that cooperatives should institute measures to encourage an increase in women members’ participation at the committee level and build their capacity own economic resources.

This paper focuses on barriers that inhibit women’s participation in cooperative societies with a particular focus on their opportunities and outcomes.

Despite the huge financial resources associated with oil, Nigeria has consistently recorded poor growth performance. Therefore, this study aims to examine how corruption and oil rent influence Nigeria’s economic performance during the 1996–2021 period.

Various estimation techniques were used. These include the bootstrap autoregressive distributed lag (ARDL) bounds-testing, dynamic ordinary least squares (DOLS), the fully modified OLS (FMOLS) and the canonical cointegration regression (CCR) estimators and the Toda–Yamamoto causality.

The bounds testing results provide evidence of a cointegrating relationship between the variables. In addition, the results of the ARDL, DOLS, CCR and FMOLS estimators demonstrate that oil rent and corruption have a significant positive impact on growth. Further, the results indicate that human capital and financial development enhance economic growth, whereas domestic investment and unemployment rates slow down long-term growth. Additionally, the causality test results illustrate the presence of a one-way causality from oil rent to economic growth and a bi-directional causal relationship between corruption and economic growth.

Existing studies focused on the effects of either oil rent or corruption on growth in Nigeria. Little attention has been paid to the exploration of how the rent from oil and the pervasiveness of corruption contribute to the performance of the Nigerian economy. Based on the outcome of this study, strategies and policies geared towards reducing oil dependence and the pervasiveness of corruption, enhancing human capital and financial development and reducing unemployment are recommended.