Caritas University Journals
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Locus Of Control, Social Comparison And Propensity To Crime On Predisposition Towards Internet Fraud Among The Youths In Ibadan, Oyo State, Nigeria
Full text linkOn the basis of the believe that certain individual psychological characteristic could influence act of committing internet fraud, this study investigates the influence of locus of control, social comparison, and propensity to crime on the predisposition towards internet fraud among youths in some selected universities in Ibadan, Oyo State, Nigeria. Using a cross-sectional survey design, data were collected from 400 undergraduates across five universities in Ibadan. Structured questionnaires were used to measure locus of control, social comparison, propensity to crime, and predisposition towards internet fraud. Findings revealed that locus of control (β = .26, t = 6.06, p < .001) and propensity to crime significantly influenced predisposition towards internet fraud (β = .38, t = 8.87, p < .001), with individuals exhibiting an external locus of control and higher criminal tendencies being more likely to engage in fraudulent activities. Social comparison, however, did not have a significant independent effect (β = .002, t = 0.05, p = >.05). However, the results indicate that locus of control, social comparison, and propensity to jointly influenced predisposition towards internet fraud (R = .49, R² = .24, F(3, 442) = 47.64, p < .001). Additionally, gender and age were significant predictors, with males and younger individuals showing a higher predisposition towards internet fraud (R = .19, R² = .04, F(2, 443) = 8.16, p < .001). The study concludes that fostering an internal locus of control, addressing criminal propensities, and reducing socio-economic pressures are crucial in mitigating the prevalence of internet fraud among youths
Application of Qualitative Business Forecasting Models for Business Development and Growth: the Perspective of Grains Dealers Association in Ogbete Main Market, Enugu
Full text linkThis study discusses different qualitative business forecasting models and seeks to find out whether these models are adopted by the members of Grains Dealers Association, Ogbete Main Market, Enugu in forecasting their future sales or demands to enable them plan for future supplies; and which of the models are most commonly used for this purpose and the extent to which their businesses are aided for development and growth by forecast practices. The study adopted structured questionnaire and one-on-one interview to elicit information from the respondents made up of the 118 members of the Association in the market randomly sampled. The result of the study reveals that the forecasting method they practice deviates significantly from familiar qualitative forecasting models discuss in this work. The most common methods of forecasting adopted by these dealers is what they call Storage Forecasting model, whereby they practice unscientific predictions based on whether conditions and environmental indicators that certain grains may be scarce in the coming periods and as such are persuaded to purchase large quantities of such grains and store them waiting when the grains would be relatively scarce in the market so they could sale same at the current market price to make much gains. This new model of forecasting has made many of the grain dealers so wealthy. The study recommends inclusion of this new forecast phenomenon into the forecasting lexicon by the academic world. It is also recommended that the existing forecasting models, both the qualitative and quantitative forecasting models be learned and applied by business leaders, who hitherto are not familiar with those models as effective aid to business decisions for growth and development
Impact Of Information Management On The Performance Of Telecommunication Industry In Ebonyi State Nigeria
Full text linkThis study investigated the effect of information management on the performance of telecommunication industry by examining and ascertaining the adoption on new Information Management and quality of service delivery. A survey designed was adopted on new Information Management on quality of service delivery. A total of 189 were studied. The entire sample size wasn’t much, so the researcher decided to use the entire population as the sample size. Data collected was through questionnaire structured on Likert’s point scale. While the supervisor and two (2) research experts carried a face to face and content. The reliability coefficient of the instrument was 0.89 using the text pretext method and validation of the instrument. Table and percentages were employed for data presentation and analysis. Hypotheses were tested using Pearson product moment correlation coefficient with 0.05% level of significant to determine the strength of the relationship between the variables. The findings are the following; ICT has a significant positive effect on organization performance: by reducing cost, improving skills essentials for the survival and growth of the organization in today’s turbulent and competitive business environment. Organization should build the human capacity and infrastructure needed for the utilization of the acquired ICT
Assessment Of The Impact Of Arcon’s Regulations On The Effectiveness And Ethical Practices On Online Advertising Among Advertising Practitioners In Enugu State
Full text linkThis study examined the regulatory impact of Advertising Regulatory Council of Nigeria on the effectiveness and ethical practices of online advertising among advertising practitioners in Enugu State In carrying out this study, survey research method was used. Population of the study comprises two distinct groups relevant to the study. The Advertising Practitioners in Enugu state and ARCON regulatory officials in Enugu State. which is 200. The census approach was adopted, allowing the researchers to examine every individual within the population rather than relying on a sampled subset. After the analysis, the results revealed that advertising practitioners in Enugu generally possess a fair level of awareness about ARCON\u27s regulatory framework. The study also, confirmed that ARCON regulations have led to shifts in advertising strategies. Several challenges were identified as barriers to full compliance. These include the complexity of regulations, financial constraints, lack of access to updated regulatory information, and the perceived burden of compliance. The researchers recommended that the Advertising Regulatory Council of Nigeria (ARCON), should consider organizing regular workshops, webinars, and training sessions for advertising practitioners, particularly those operating at smaller scales or in more remote areas. Advertising Regulatory Council of Nigeria (ARCON), should recognize agencies that actively align their strategies with regulatory standards and ARCON should provide grants, subsidies, or partnerships with tech providers to ensure they have access to necessary compliance resources, like software for digital ad review or training on compliance technologies
Impact Of Economic Growth On Environmental Pollution In Nigeria
Full text linkThere are concerns that Nigeria’s economic growth may be contributing to environmental degradation, particularly through increased carbon emissions and pollution-intensive investments. This study examines the impact of economic growth on environmental pollution in Nigeria, with a focus on whether economic expansion aligns with the Environmental Kuznets Curve (EKC) hypothesis, which suggests that pollution initially rises with growth but declines as income levels increase. To investigate this relationship, the study adopts the Autoregressive Distributed Lag (ARDL) model, using annual data from 1986 to 2024. Findings indicate that GDP per capita has a nonlinear relationship with carbon emissions, confirming the EKC hypothesis. Additionally, foreign direct investment (FDI) significantly contributes to environmental pollution, supporting the pollution haven hypothesis, which argues that weak regulatory frameworks attract environmentally harmful investments. Conversely, regulatory quality (RRQ) is found to have a strong mitigating effect on emissions, highlighting the importance of institutional governance in environmental management. The error correction model (ECM) results show that deviations in emissions gradually adjust to long-run equilibrium, suggesting that sustained policy interventions are necessary to maintain environmental stability. Based on these findings, the study recommends strengthening environmental regulations, promoting green foreign investments, investing in clean technologies, and fully implementing Nigeria’s National Energy Transition Plan (NETP) to balance economic growth with environmental sustainability
Impact Of Government Expenditure On Unemployment In Nigeria
Full text linkDespite rising government expenditure over the years, unemployment remains high and persistent. This study examines the impact of government expenditure on unemployment in Nigeria over a period of 1981 to 2023. An autoregressive distributed lag (ARDL) model was utilized for the analysis. Major findings indicate that general government expenditure has a negative effect on unemployment in the long run while final consumption expenditure has a negative but weak impact on unemployment in Nigeria. Furthermore, the short-run results indicate that past periods of gross national expenditure decrease current unemployment while general government expenditure increase current unemployment. The study concludes that government expenditure is an effective tool for reducing unemployment in Nigeria and The government should implement targeted job creation programs in high impact sectors like infrastructure and social services, alongside strict anti-corruption measures to ensure transparent and efficient allocation of public funds.
 
Improving The Rehabilitation And Maintenance Of Workshop Equipments Using Artificial Neural Network Based System. A Case Study Of Caritas University Enugu
Full text linkThe efficient operation of workshop equipment is crucial for academic institutions, particularly in technical and vocational education. However, frequent breakdowns, inadequate maintenance schedules, and delayed rehabilitation processes often hinder the performance of such facilities. This study investigates the application of an Artificial Neural Network (ANN)-based system to improve the rehabilitation and maintenance of workshop equipment at Caritas University, Enugu. The proposed system leverages the predictive capabilities of ANN to monitor equipment usage, diagnose faults, and recommend optimal maintenance schedules. By analyzing historical maintenance data, operational parameters, and real-time feedback, the system aims to minimize downtime, reduce maintenance costs, and extend the equipment\u27s lifespan. A case study approach was employed, integrating the ANN-based system into the university’s existing maintenance framework. Preliminary results indicate significant improvements in fault detection accuracy, response time, and resource allocation. This research highlights the potential of intelligent systems to revolutionize workshop maintenance practices, ensuring the sustainability and reliability of educational infrastructure
Absorption and Simulation of Carbon IV Oxide Recovery Plant with Monoethanolamine Solvent using Aspen HYSYS
Full text linkCarbon IV Oxide (CO2) was extracted from a natural gas (NG) stream containing 8.7% carbon dioxide, 17.8% water, 73.4% nitrogen, 0.1886% oxygen, 0.0017% sulfur dioxide, and 0.0097% nitrox using monoethanolamine (MEA) solvent. The CO2 is an acidic and greenhouse gas which may cause corrosion attacks on the pipelines, vessels and global warming when the concentration is accumulated appreciably, hence the need to free the natural gas from it. The process parameters were 500 tons per day flow rate, 1500C temperature, and 101.6 kPa pressure. Using ASPEN HYSYS, an optimization and technical parameter study was conducted for a CO2 recovery process from mixture of gas of a natural gas liquefaction plant at different percentage recoveries (75%, 80%, 85%, 90%, 95%, and 99%). The procedure was based on the use of MEA solutions in an absorption/desorption process. Recovering more CO2 from the NG than was initially present is the aim. Deviations of 3% and 10% and root mean square error of 0.5 and 1.5 from the validation of the simulation result with plant data show that, in contrast to earlier research, the simulation using Aspen HYSYS of V8.8 was able to extract 99% of the 8.7% CO2 from NG. The models showed that CO2 recovery was possible once pumps were installed inside the facility. The simulation result further showed that the overall cost of the recovery CO2 plant including the cost of utilities, was obtained to be $19.629m
Effectiveness of Coconut Fiber as a Drilling Mud Additive
Full text linkThe potential of powdered coconut fiber derived from mature coconut husks, as a natural additive in water-based mud (WBM) formulations is evaluated in this study. Coconut fiber was processed and sieved to obtain different particle sizes using mesh sizes of 10µm, 20µm, and 40 µm. The processed fibers were used as replacement for barite and carboxymethyl cellulose (CMC) in the formulation of drilling mud. Experimentally, the WBM properties evaluated were pH, mud weight (MW), gel strength, plastic viscosity (PV), apparent viscosity (AV), yield point (YP), fluid loss, and filter cake thickness. The results for mesh size 10µm are pH=7, MW=8.7ppg, PV=6cp, 10min Gel Strength=21, AV=25cp, YP=38lb/100ft, n= 0.93, K=0.57, filter cake=1.3mm, for meshed size 20µm; pH=8, MW=8.7ppg, 10min Gel Strength=35, PV=17cp, AV=35cp, YP=36lb/100ft, n= 0.74, K=0.70, Filter Cake= 0.9mm, and for meshed size 40µm; pH=8, MW=8,7ppg, 10min Gel Strength=29, PV=25cp, AV=32.5cp, YP=15lb/100ft, n=0.76, K=0.67, Filter Cake= 2.0mm. These aforementioned data indicate that powdered coconut fiber substantially improves the gel strength, suspension capabilities, and filtration control of the mud. Natural additives such as coconut fiber can be used as replacement for standard WBM by increasing mud performance, reducing fluid loss, and can be useful in promoting sustainability goals
Improving Rehabilitation And Maintenance Of a Rock Weld Hardness Testing Machine In Caritas University Amorji Nike Enugu Using Fuzzy Based Stattic Var Compensator (SVC)
Full text linkRockwell hardness testing machines are crucial in determining material hardness. However, their accuracy and reliability can be compromised if not properly maintained. This project focuses on the rehabilitation and maintenance of the Rockwell hardness testing machine in the Mechanical Engineering Department Caritas University, Amorji Nike, Enugu. The machine’s accuracy and reliability were restored through diagnostic tests, replacement of worn-out parts, calibration, and development of a maintenance schedule.The reliability and functionality of the Rockwell Hardness Testing Machine are critical for material testing and mechanical engineering applications. However, frequent power fluctuations, component wear, and inadequate maintenance practices often compromise the performance of this essential equipment, particularly in educational institutions like Caritas University Amorji Nike Enugu. This study investigates the application of a Fuzzy Logic-Based Static Var Compensator (SVC) to improve the rehabilitation and maintenance of the Rockwell Hardness Testing Machine. The fuzzy-based SVC system is designed to enhance voltage stability, mitigate harmonic distortions, and ensure a consistent power supply to the machine. By integrating intelligent control algorithms, the system can predict and adapt to varying operational conditions, enabling proactive maintenance and reducing the likelihood of system failures. This approach not only safeguards sensitive components from power-related damages but also extends the machine’s operational lifespan and minimizes downtime. The study employs a combination of experimental analysis and simulation to evaluate the performance of the fuzzy-based SVC system. Results demonstrate significant improvements in power quality, reduced maintenance costs, and enhanced operational reliability of the Rockwell Hardness Testing Machine. The findings underscore the potential of intelligent power systems in modernizing equipment maintenance practices and ensuring sustainable engineering education.