Context Of Nigeria Research Articles

Segregation in 1 Kings 12:1-24 as a warning against the culture of religion and ethnicity in Nigeria

This paper examines the account of segregation in 1 Kings 12:1-24, where the Kingdom of Israel divides into two distinct entities due to political, religious, and ethnic tensions. By analysing this biblical narrative, the study highlights the destructive consequences of division based on cultural and religious differences. The paper draws parallels to the contemporary context of Nigeria, a nation marked by diverse ethnic and religious identities. It argues that the story serves as a cautionary tale for Nigeria, emphasizing the dangers of allowing cultural and religious differences to foster division and conflict. This is a qualitative study using the narrative method. Data was gotten from secondary literature and analysed using content analysis. The impacts of the culture of religion and ethnicity reveal that it affects electoral politics, governance and representation, conflict and instability, social cohesion, education and socialisation, and economic inequality. Emerged themes include: a) leadership and consultation; b) economic disparities and grievances; c) responses to grievances; d) secessionist movements; and e) role of mediation and reconciliation. Recommendations are discussed.

Review on the Dual Impact of Social Media on Psychological Well-Being: From Nigeria context

Review on the Dual Impact of Social Media on Psychological Well-Being: From Nigeria context

A Disinterment of Hushed Male-Gendered Experiences: A Study of Festus Iyayi’s Violence

This research delves into the often-silenced tribulations, struggles, and internal conflicts faced by men which remain concealed due to prevailing masculinity norms. The study critically examines the nuanced portrayal of male struggles within the cultural and traditional context of Nigeria, as depicted in the novel, Violence by Festus Iyayi. Through a meticulous application of gender normativity theory, within qualitative research framework, the work unveils the complex layers of male experiences that are typically muted by societal expectations. It interrogates the intricate dynamics of gender roles, shedding light on the silent battles against emotional repression and the quest for identity amidst rigid masculine archetypes, through an examination of the male characters experiences as depicted by the author. The research finds that societal, cultural and traditional expectations, and stereotypes placed on men contribute to their silent battles and affects their mental health in diverse ways, therefore, this study calls for relaxed and flexible male gender norms. This analysis not only contributes to a deeper understanding of male psychosocial challenges but also calls for a re-evaluation of gender constructs that dictate emotional expression and resilience.

Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal

This paper conducts a comprehensive analysis of the impact of Artificial Intelligence (AI)-driven Internet of Things (IoT) systems on air quality management in Nigeria. The study examines the current state of air quality in Nigeria, highlighting prevailing challenges, health implications, and the environmental significance of escalating pollution levels. It delves into the existing conventional methods and technologies utilized for air quality management, emphasizing monitoring systems, regulatory frameworks, and pollution control measures. In addition, this review elucidates the integration of AI and IoT technologies globally in addressing environmental concerns, particularly in the realm of air quality management. It specifically zooms into the emergence and adoption of AI-driven IoT systems within Nigeria’s environmental landscape, spotlighting ongoing initiatives or projects. This review seeks to investigate the implementation and consequences of AI-powered Internet of Things (IoT) systems in air quality management within Nigeria context. It bridges existing knowledge gaps by scrutinizing the effectiveness of these advanced systems in mitigating air pollution and assesses the challenges encountered in practical implementation, encompassing technical, regulatory, and socio-economic barrier.

Assessment of the Crustal Thickness within Southern Bida Basin and Surrounding Basement Rocks, North Central Nigeria, using Gravity Data

The crustal thickness within the Southern Bida Basin has been determined using Bouguer Gravity Data. This study focuses on a region situated in the southern part of the Bida Basin, a significant inland sedimentary basin in North Central Nigeria. Two distinct methods were employed to estimate crustal thickness from Bouguer anomaly values: (i) an empirical relationship between crustal thickness and Bouguer anomaly, and (ii) spectral analysis of the radial wave number. The average crustal thickness was derived by averaging results obtained from both methods. Additionally, a linear equation (HC = 34.39 – 0.17BG) was formulated for the study area, enabling straightforward determination of crustal thickness from any given Bouguer anomaly value. The estimated crustal thickness in the study area ranges from 32 km to 40 km, aligning closely with the overall crustal thickness of Nigeria as reported by Daniyan et al. (2002). The tectonic stability of the study area, situated on the stable African plate, further underscores its significance within the broader geological context of Nigeria.

HARNESSING ARTIFICIAL INTELLIGENCE FOR HUMAN RIGHTS PROTECTION: ADVANCING SUSTAINABLE PLASTIC WASTE RECYCLING IN NIGERIA

This paper explores the integration of artificial intelligence (AI) technologies with human rights considerations in plastic waste recycling, focusing on the context of Nigeria. Using an explanatory design and a basic review of the literature, it examines how AI can enhance human rights protection among workers in plastic waste recycling firms. The paper emphasizes the role of government policies and regulations in ensuring human rights protection, the need for ethical guidelines for AI use, and the potential of AI to improve worker safety and reduce environmental pollution in recycling facilities. Key recommendations for future research include enhancing AI capabilities for waste sorting, integrating Internet of Things (IoT) devices for real-time monitoring, and prioritizing ethics in AI development. Collaboration between stakeholders is identified as crucial, with multi-stakeholder partnerships and policy coherence essential for the effective implementation of AI technologies in plastic waste recycling. In conclusion, integrating AI with human rights considerations in plastic waste recycling is pivotal for enhancing efficiency, reducing pollution, and ensuring sustainable waste management practices. This paper contributes to the growing body of literature on AI and human rights in waste management, offering insights for policymakers, industry stakeholders, and researchers in Nigeria and beyond.

Leveraging AI-Driven IoT Systems for Enhanced Air Quality Management in Nigeria: An Impact Examination towards Sustainable Development Goal

This paper conducts a comprehensive analysis of the impact of Artificial Intelligence (AI)-driven Internet of Things (IoT) systems on air quality management in Nigeria. The study examines the current state of air quality in Nigeria, highlighting prevailing challenges, health implications, and the environmental significance of escalating pollution levels. It delves into the existing conventional methods and technologies utilized for air quality management, emphasizing monitoring systems, regulatory frameworks, and pollution control measures. In addition, this review elucidates the integration of AI and IoT technologies globally in addressing environmental concerns, particularly in the realm of air quality management. It specifically zooms into the emergence and adoption of AI-driven IoT systems within Nige- ria’s environmental landscape, spotlighting ongoing initiatives or projects. This review seeks to investigate the implementation and consequences of AI-powered Internet of Things (IoT) systems in air quality management within Nigeria context. It bridges existing knowledge gaps by scrutinizing the effectiveness of these advanced systems in mitigating air pollution and assesses the challenges encountered in practical implementation, encompassing technical, regulatory, and socio-economic barrier.

Performance evaluation of Latent Dirichlet Allocation on legal documents

Latent Dirichlet Allocation (LDA) is an algorithm with the capability of processing large amount of text data. In this study, the LDA is used to produce topic modelling of topic clusters from corpus of legal texts generated under 4 topics within Nigeria context Employment Contract, Election Petition, Deeds, and Articles of Incorporation. Each topic has a substantial number of articles and the LDA method proves effective in extracting topics and generating index words that are in each topic cluster. At the end of experimentation, results are compared with manually pre-annotated dataset for validation purpose and the results show high accuracy. The LDA output shows optimal performance in the word indexing processing for Election Petition as all the documents annotated under the topic were accurately classified.

Examining the Utility of the Early Childhood Development Index (ECDI) among Children in the Nigeria Context.

An estimated 6 million children under the age of five in Nigeria (out of nearly 31 million) risk not reaching their full developmental potential. The dearth of context-relevant measures poses a challenge to the planning and implementation of effective interventions. This study assesses the utility of the Early Childhood Development Index (ECDI) in Nigeria. We used the Multiple Indicator Cluster Surveys to track progress among 3- to 4-year-old children (n = 11,073); 3-year-old, 51%; female, 49%. Using random calibration samples, the results from psychometric tests indicate that while over half of the children were on track in their development based on the ECDI, the instrument had low to average internal consistency and weak face validity, suggesting an inadequacy in capturing ECD information of value. At the outset of the launch of the new ECDI2030, the results of this study point to the need for continued discourse and advocacy for the use of culturally appropriate measures of child development, and a child-centered community engagement approach. This is essential in ensuring accountability and responsive interventions for the children served and their families.

Impact of Employee Engagement On Service Quality in Nigerian Public Agencies

This study investigates the connection between employee engagement and service quality in the Asset Management Company of Nigeria (AMCON), which is a key player in Nigeria's financial sector. This study examines three key dimensions of employee engagement – absorption, vigor, and dedication – and their effects on service quality, specifically focusing on the responsiveness dimension of the SERVQUAL model. This study is important because there is a lack of representation of AMCON and similar institutions in the existing literature, particularly within the context of Nigeria's unique financial landscape. This study utilized a mixed-methods approach that included quantitative surveys and qualitative interviews with AMCON employees. The analysis employed the SERVQUAL model to evaluate service quality and multiple regression analysis to explore the influence of each engagement dimension. The findings of this study are expected to contribute to a theoretical understanding of the impact of employee engagement on service quality within the asset management sector. Additionally, this study aims to provide practical insights for AMCON, potentially improving service delivery strategies and effectiveness in fulfilling its mandate. The broader implications of this study extend to similar asset management entities in emerging economies, providing a comparative perspective, and understanding of these dynamics in diverse economic and regulatory environments.

Assessing the efficacy of cooperative societies in agricultural credit delivery: A comprehensive review in Nigeria

The comprehensive review critically assesses the efficacy of cooperative societies in agricultural credit delivery within the Nigeria context. Agricultural credit is a crucial driver of rural development, and cooperative societies have long been recognized as instrumental channels for its dissemination. The review unfolds against the backdrop of Nigeria’s agricultural landscape, aiming to offer a nuanced understanding of the multifaceted dynamics surrounding the performance of cooperative societies in facilitating credit access for farmers. The analysis spans historical developments to contemporary challenges, unraveling the evolution of cooperative societies in Nigeria and their pivotal role in supporting farmers financially. By examining a spectrum of cooperative models and their implementation, the review delves into the intricacies of credit delivery mechanisms. It evaluates the impact of cooperative societies on agricultural productivity, income generation, and overall rural livelihoods. Challenges inherent in the cooperative credit system are scrutinized, including issues of governance, financial sustainability, and external market influences. Furthermore, the review explores the socio-economic implications of agricultural credit provision through cooperatives, considering factors such as poverty alleviation, gender dynamics and community development. In light of emerging trends and innovation, the review identifies potential areas for improvement and innovation within cooperative societies. This includes the incorporation of digital technologies, novel financial instruments and strategic partnership to enhance the reach and effectiveness of agricultural credit delivery. Ultimately, this review aspires to contribute to the ongoing discourse on agricultural finance in Nigeria, offering insights that can inform policy makers, practitioners and researchers.

HARNESSING ARTIFICIAL INTELLIGENCE FOR HUMAN RIGHTS PROTECTION: ADVANCING SUSTAINABLE PLASTIC WASTE RECYCLING IN NIGERIA

This paper explores the integration of artificial intelligence (AI) technologies with human rights considerations in plastic waste recycling, focusing on the context of Nigeria. Using an explanatory design and a basic review of the literature, it examines how AI can enhance human rights protection among workers in plastic waste recycling firms. The paper emphasizes the role of government policies and regulations in ensuring human rights protection, the need for ethical guidelines for AI use, and the potential of AI to improve worker safety and reduce environmental pollution in recycling facilities. Key recommendations for future research include enhancing AI capabilities for waste sorting, integrating Internet of Things (IoT) devices for real-time monitoring, and prioritizing ethics in AI development. Collaboration between stakeholders is identified as crucial, with multi-stakeholder partnerships and policy coherence essential for the effective implementation of AI technologies in plastic waste recycling. In conclusion, integrating AI with human rights considerations in plastic waste recycling is pivotal for enhancing efficiency, reducing pollution, and ensuring sustainable waste management practices. This paper contributes to the growing body of literature on AI and human rights in waste management, offering insights for policymakers, industry stakeholders, and researchers in Nigeria and beyond.

STRENGTHENING DOMESTIC VIOLENCE PREVENTION IN NIGERIA: A CALL TO ACTION

Domestic violence, a significant public health concern, remains prevalent in low- and middle-income countries. While developed nations have successfully implemented preventive measures that have led to a reduction in domestic violence incidents, developing countries, such as Nigeria, encounter enduring challenges. This article delves into the patterns of domestic violence across Nigeria's socio-culturally and economically diverse geopolitical regions, analyses effective strategies employed in developed nations, and proposes approaches suitable for the unique context of Nigeria.

Panel Vector Autoregressive Modeling of Macroeconomic Interaction in Nigeria, Ghana and Cameroon

Aims: The aim of this study is to apply Panel VAR (Vector Autoregressive) modeling and estimation to analyze the macroeconomic interaction and interdependence within the context of Nigeria, Ghana, and Cameroon. The study aims to understand the trends of key macroeconomic variables, namely gross domestic product (GDP), exchange rate, and foreign reserves.
 Methodology: The study adopted three macroeconomic variables—GDP, exchange rate, and foreign reserve—and utilized annual secondary data from the World Bank spanning from 1960 to 2022. Pretests, including unit root and cointegration tests, were conducted on the variables. The panel unit root tests (Levin, Lin, and Chu t, Augmented Dickey-Fuller Fisher Chi-Square, and Phillips-Perron Fisher Chi-Square) indicated that the series had unit roots at levels but were stationary at first difference, implying integration of order one. The absence of co-integration in the panel co-integration test established the necessary conditions for estimating a panel vector autoregressive model.
 Results: The trend analysis revealed that the variables were relatively low in the 1960s and 1970s but exhibited an increasing and fluctuating pattern afterward. Descriptive statistics showed variations among the countries, with Cameroon having higher GDP per capita and greater standard deviation, indicating more significant fluctuations. Ghana, in contrast, displayed lower per capita income with a lower standard deviation. The foreign exchange rate varied, with Cameroon having the highest and Ghana the lowest mean rates.Conclusion: The fixed effect model was estimated after the Hausman Test rejected the random effect model. The results indicated that foreign exchange rates had joint significance on GDP per capita, while foreign reserves did not. The study concludes that the economies of Nigeria, Ghana, and Cameroon are responsive to GDP per capita, foreign exchange rates, and foreign reserves. The policy implication is that economic practitioners in these countries should closely monitor these variables to anticipate changes in economic indicators. Therefore, the study recommends active monitoring of the economic variables used in this research to facilitate informed decision-making.

Smart contract applications in the built environment: How prepared are Nigerian construction stakeholders?

Studies have demonstrated that advanced technology, such as smart contract applications, can enhance both pre- and post-contract administration within the built environment sector. Smart contract technology, exemplifying blockchain technologies, has the potential to improve transparency, trust, and the security of data transactions within this sector. However, there is a dearth of academic literature concerning smart contract applications within the construction industries of developing countries, with a specific focus on Nigeria. Consequently, this study seeks to explore the relevance of smart contract technology and address the challenges impeding its adoption, offering strategies to mitigate the obstacles faced by smart contract applications. To investigate the stakeholders, this research conducted 14 virtual interview sessions to achieve data saturation. The interviewees encompassed project management practitioners, senior management personnel from construction companies, experts in construction dispute resolution, professionals in construction software, and representatives from government construction agencies. The data obtained from these interviews underwent thorough analysis employing a thematic approach. The study duly recognizes the significance of smart contract applications within the sector. Among the 12 identified barriers, issues such as identity theft and data leakage, communication and synchronization challenges, high computational expenses, lack of driving impetus, excessive electricity consumption, intricate implementation processes, absence of a universally applicable legal framework, and the lack of a localized legal framework were recurrent impediments affecting the adoption of smart contract applications within the sector. The study also delves into comprehensive measures to mitigate these barriers. In conclusion, this study critically evaluates the relevance of smart contract applications within the built environment, with a specific focus on promoting their usage. It may serve as a pioneering effort, especially within the context of Nigeria.

Environmental Factors and Bank Performance In Nigeria: A Panel GMM Approach

Purpose—This paper examines the impact of various environmental factors on the performance of banks in Nigeria. Specifically, the study analyzes how exchange rates, GDP growth, government expenditures, and interest rates influence the performance of selected Deposit Money Banks (DMBs) in Nigeria. Design/methodology/approach—The study uses annual data sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin and the annual reports and accounts of 12 randomly selected DMBs for the period from 2009 to 2018. The Panel Generalized Method of Moments (GMM) approach is employed to estimate the relationships between environmental factors and bank performance. Findings — The research finds that GDP growth, interest rates, and government expenditure all have a positive and significant impact on the performance of banks. Among these factors, government expenditure has the most substantial effect on the earnings per share (EPS) of the selected banks. Practical implications — Based on the findings, it is recommended that banks should manage their interest rates creatively within legal constraints to enhance performance. Banks should also pay close attention to government fiscal policies, especially expenditures, and incorporate these into their strategic decision-making. Additionally, banks are encouraged to develop policies, products, and services that support economic growth in Nigeria, potentially through development finance initiatives. Originality/value—This study uses a robust panel data approach to provide valuable insights into how environmental factors affect bank performance in Nigeria. By highlighting the significant role of government expenditures and other factors, it offers practical recommendations for banks to improve their performance and align their strategies with macroeconomic conditions. This research contributes to understanding banking performance in emerging economies, particularly within the context of Nigeria.

The 4th International Conference of Geoscience and Earth Resources Engineering (ICGERE) 2022: Sustainable Energy and Future Development Through Geoscience and Earth Resources Engineering (Preface)

The 4th International Conference on Geoscience and Earth Resources Engineering is being organized by the Faculty of Mining and Petroleum Engineering, Institut Teknologi Bandung. The conference’s theme focuses on “Sustainable energy and future development through geoscience and earth resources engineering,” covering a range of new insights and techniques in these fields. Subtopics include mining engineering, drilling engineering, oil and gas production management, earth resources exploration, seismology, metallurgical engineering, applied geophysics & exploration, and geothermal engineering. The conference aims to bring together experts and researchers from various disciplines to exchange knowledge and discuss the latest advancements in geoscience and earth resources engineering.The conference took place from November 8-9, 2022 in Bandung, Indonesia. It was held in a hybrid format due to the challenges posed by the Covid-19 pandemic.The conference was held in a hybrid format from November 8-9, 2022 in Bandung, Indonesia due to the challenges posed by the Covid-19 pandemic.The conference was attended by 13 invited speakers from various institutions and countries, including:1. Ir. Nenny Miryani Saptadji, Ph.D (Outlook on Indonesia Geothermal Energy Technology)2. Prof. Peyman Mostaghimi (Applied Machine Learning for Fluid Flow in Porous Media)3. Prof. Andri Dian Nugraha (Seismic Tomography Outlook for Exploration and Earth Hazard Mitigation)4. Prof. Dr. Frank Melcher (The European Green Deal: The Role of Mineral Raw Materials)5. Prof. Suleiman Omeiza Eku Sadiku (The Current Flood Disaster in Nigeria)6. Prof. Johnson Kayode Adewumi (The impact of Flooding on Agricultural production and Food Security: Nigeria Context)7. Assoc. Prof. Vamegh Rasouli (Petroleum Geomechanics and its Application in Carbon Geosequestration)8. Prof. Doddy Abdassah, M.Sc., Ph.D (Unconventional Oil and Gas in Indonesia)9. Dr. Aryo P. Wibowo10. Prof. Jean Phillpe Metaxian (DAS for Volcano monitoring)11. Dr. Ing. Zulfiadi, S.T., M.T., IPM (Sustainability in the Production of Nickel, Iron, and Aluminum)12. Engr. ThankGod Egbe (Integrated Petroleum Engineering Practice: Niger Delta Mature Assets Experience)13. Prof. Mukhtar AbdulkadirAnd more than 65 contributed presenters. The output of the conference is well documented in the extended abstract of 37 reviewed papers and 33 paper are accepted. The conference proceeding can be beneficial for the authors, institutions, and worldwide scientific communities.List of The Organizing Committee are available in this pdf.

Towards safer automotive practices and sustainable end-of-life vehicle management in the Nigerian automotive service sector

The primary aim of this paper is to enhance safety, health, and environmental practices prevalent in Automotive workshops in Nigeria. Emphasising a comprehensive approach to vehicle safety, the study focuses on a review of pivotal aspects such as training, rigorous risk assessment, adherence to compliance standards, and a commitment to continuous improvement, encouraging best practices adoption, and fostering workplace safety and environmental awareness within the context of Nigeria's automotive service sector. It also seeks to bridge the gap between day-to-day safety and long-term concerns during vehicle decommissioning, and provide a resource material for industry stakeholders, advocating for best practices that elevate workplace safety, reduce injuries, and address environmental impacts across vehicles' lifespans, including their end-of-life phase. Implementing these principles could strengthen Nigeria's automotive industry by fostering a robust safety culture and environmentally responsible vehicle decommissioning. Ultimately, the paper would promote a "safer end" perspective, advocating for holistic safety approaches geared towards responsible and sustainable end-of-life vehicle management in Nigeria's automotive service sector.

Appraising alternative building technologies adoption in low-cost housing provision to achieving Sustainable Development Goal 11

PurposeThough alternative building technologies (ABTs) have been encouraged to address accessible and affordable issues in low-cost housing (LCH) provision, their adoption is still overwhelmed with encumbrances. The encumbrances that hinder ABT adoption require an in-depth study, especially in developing countries like Nigeria. However, studies regarding ABT and its role in improving Nigeria's LCH to achieve Sustainable Development Goal (SDG) 11 are scarce. This research investigates encumbrances to ABT adoption in Nigeria's LCH provision and suggests feasible measures to prevent or reduce the encumbrances, thereby improving achieving SDG 11 (sustainable cities and communities).Design/methodology/approachThis research utilised qualitative research and adopted a face-to-face interview as the primary data collection. The interviewees comprised ABT practitioners and end users in Nigeria who were chosen by a convenient sampling technique. The study's data were analysed manually through a thematic approach.FindingsThis study shows that stakeholders should embrace ABT in LCH provision to improve achieving SDG 11 in Nigeria. Also, it clustered the perceived 20 encumbrances to ABT adoption in LCH provision into government/policymaker, housing developers/building contractors, ABT users and ABT manufacturers-related issues in Nigeria's context. This study suggested mechanisms to mitigate encumbrances to ABT adoption in LCH provision, thereby improving achieving SDG 11.Originality/valueThis research adds to the limited literature by analysing ABT adoption encumbrances in Nigeria's LCH provision, which could assist policy formulation for the uptake of ABT in LCH provision and improve achieving Goal 11.

Energy consumption of manufacturing sector: a search for sustainable energy source in Nigeria

Manufacturing companies in a bid to realize high-quality development, figure out how to make the most use of their materials and improve their operating processes in a sustainable way. With an emphasis on sustainable energy practices that lessen reliance on fossil fuels and cut CO2 emissions, this study examines the relationship between energy consumption, manufacturing output, and economic growth in Nigeria. The study examines the effects of natural gas, renewable biofuels, fuel oil, gas/diesel, gasoline, and electricity on manufacturing production using time series data covering 1990 to 2019. It employed an autoregressive distributed lag (ARDL) model estimate technique. The short-run dynamics and long-run relationships are examined in the ARDL model. In the short-run motor gasoline, natural gas renewable biofuel, gas/diesel and fuel oil are economically and statistically significant both in the current year and up to the second lagged period. While the ARDL bound test reveals that there is cointegration among the variable in the long run. Renewable biofuels and fuel oil are the only variables that have a direct and statistically significant positive relationship with GDP manufacturing output. Therefore, increasing the use of these energy sources is likely to increase the output of GDP manufacturing in the long run. According to the Granger Causality Test, there is a bidirectional relationship between manufacturing output and both gasoline and renewable biofuel. In contrast, there is a Granger causality relationship between manufacturing output and gas/diesel and electricity. Furthermore, the test indicates that manufacturing GDP only has a Granger cause renewable biofuel. The findings show the individual effects of the renewable biofuel energy source and thus its importance viz-a-viz reduction of CO2 emissions, sustainability, sufficiency in capacity (in Nigeria context) can increased Gross Domestic Product (GDP) manufacturing output. It is therefore recommended that policymakers ensure a switch and make available renewable biofuel sources.