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Study on Individual Investors’ Intention to Use AI in Stock Price Forecasting on the Vietnamese Stock Market: A Technology Acceptance Model (TAM) Approach
This study aims to evaluate the factors influencing individual investors’ intention to use artificial intelligence (AI) in stock price forecasting on the Vietnamese stock market, based on the Technology Acceptance Model (TAM). The research model includes the following factors: Perceived Usefulness; Perceived Ease of Use affecting Attitude; Attitude; Subjective Norms; and Trust affecting investors’ intention to use AI in predicting stock prices. The study surveyed 240 individual investors, and the collected data were cleaned and processed using the PLS-SEM regression method. The results highlight the prominent role of social influence, trust in algorithms, and positive perceptions in fostering individual investors’ acceptance of AI. These findings provide important practical implications for fintech companies and AI platform developers in formulating user engagement strategies, emphasizing the need to enhance ease of use, improve technological transparency, and strengthen communication through communities and social influence channels
ANALYSIS OF SOCIAL MEDIA AS AN EMERGING PLATFORM FOR ACCESS TO EXTENSION SERVICES AMONG SMALL SCALE FARMERS IN SOUTHERN TARABA-NIGERIA
This study analysed social media as an emerging platform for access to extension services among small scale farmers in southern Taraba, Nigeria. The major objective was to analyse social media as an emerging platform for access to extension services among small scale farmers in southern Taraba, while specific objectives were to describe the socioeconomic characteristics, identify benefits, determine ease of usage and identify constraints of using social media among the respondents. A multi-stage sampling technique was used to collect primary data from 216 farmers through a well-structured questionnaire. Data were analysed using inferential and non-inferential statistics. The Multiple Regression result revealed access to social media (0.910), social media experience (0.021), and educational experience (0.054) to be significant at 1% and income (0.413) to be significant at 5%. Also, 72.7% were males, 93.1% had 1-10 household size, 81.5% had 1-20 years farming experience and 46.8% frequently used Facebook. On benefit of using social media, disseminating information to friends, accessing information on farm inputs and accessingknowledge about agriculture activities top the list. Furthermore, 63.4% accessed agricultural extension services using Facebook easily and 56.5% accessed extension services using WhatsApp easily. Also high cost of handsets and lack of trust on information from social media were serious constraints of using social media. The study conclude that social media has emerged as a widely acceptable tool for extension services access and recommend that all stakeholders in the agricultural industry should package capacity building programmes to educate farmers on the use of social media
ANALYSIS OF FACTORS INFLUENCING THE ADAPTATION PRACTICES TO CLIMATE CHANGE AMONG RICE (Oryza sativa) FARMERS IN WUKARI LOCAL GOVERNMENT AREA, TARABA STATE, NIGERIA
This study assessed the factors influencing the adaptation practices to climate change among rice farmers in Wukari Local Government Area of Taraba State, Nigeria. The specific objectives were to: describe the socioeconomic characteristics of rice farmers, determine the factors influencing the adaptation practices to climate change by rice farmers and to identify the constraints of the adoption of adaptation practices towards climate change. A multistage sampling technique was used to select 245 rice farmers across five wards. Data were collected using structured questionnaire and analyzed through descriptive statistics, multiple regression analysis and Likert scale rating. Results showed that the farmers are middle-aged (mean of 41.6 years), married (77.1%), and male (81.2%), with moderate household sizes (mean of 6 members). Many had no formal education (46.9%). Multiple regression analysis identified age(β = 0.032467), education level(β = 0.035128), household size(β = 0.237546), and cooperative membership (β = 0.054872) all significant at p < 0.001as positive determinants of adaptation practice adoption, while farm size (β = -0.022156,p <0.001) showed a negative relationship. Financial constraints (x̄=4.560),inadequate irrigation infrastructure(x̄=4.408), and change from traditional methods(x̄=4.326) emerged as the most significant constraints to adaptation. The study recommends enhanced access to financial services, improved infrastructure development, targeted climate education programs, and farmers should be encouraged to join cooperative groups
Teacher Burnout: Causes, Consequences, and Insights from Science Teachers
Teaching is a demanding profession characterized by challenging working conditions and high stress levels. Within the school environment, various factors significantly contribute to teacher burnout syndrome. These include excessive workload, restrictive school policies and an unsupportive school climate, conflicts between teachers and administration, a lack of teacher involvement in decision-making processes, insufficient recognition, and student behavioral and disciplinary problems. Teachers can experience burnout syndrome irrespective of demographic factors such as age, years of service, or gender. Therefore, understanding the causes and consequences of burnout is critical for both teacher performance and student achievement. In other words, comprehending teacher burnout and implementing preventive measures is essential for fostering a healthy educational environment. A qualitative research methodology was employed in this study. The findings indicate that the primary causes of teacher burnout are excessive workload, lack of administrative support, and disrespect from students and parents. Furthermore, the most prevalent negative consequences of burnout identified were attrition from the profession, high stress levels, and physical and emotional exhaustion
SALT AND LIGHT AS SYMBOLS OF CHRISTIAN CALLING: A STUDY OF MATT 5:13-16
Matt 5:13-16 is an aspect of the Sermon on the Mount. It is the longest teaching from Jesus in Matthew’s Gospel. It forms a transition from identifying those who are to live according to the demands of the Sermon on the Mount in the present (5:17-7:27) and those who will live the life of blessedness in the future (5:3-12). The audience is metaphorically identified as “The salt of the earth” and “the light of the world.” The metaphors of “salt” and “light” in Matthew 5:13-16 serve as indicators of the expected influence of Christians in society, a concept that resonates profoundly within the context of Nigeria. This paper will examine practical applications of these metaphors among Nigerian believers, highlighting effective Christian engagement in social issues such as poverty alleviation, education, and interfaith relationships. As Christians fulfill their calling to be salt and light, they can significantly impact the moral and social fabric of Nigeria, encouraging a transformative movement toward a more equitable and harmonious society. Ultimately, this study aims to inspire Nigerian Christians to realize their potential as agents of change, fostering an environment where faith and active citizenship converge for the common good
A WAY FOR - DECEPTIONING THE NORMAL – OR THE – DANGEROUS CELLS USING VIBRATIONS
The Electron`s Nutation in Hydrogen cave Produces Energy due to g effect, as minimum frequency fₙ = 2,8398447. 10¹⁰ H and thus exists in all Atoms. This Energy of Hydrogen-Cave becomes an Electrical – Magnetic Conductor which is the Pin and Plug of atoms. Pins entering Into the other Atom-Sockets consist the Orbit-Bracket – Hooks i.e. are the Hands of Atoms. Hooks Placing their Pins into the other Atoms Drains = Holes = Plugs, is done that what we say Bonding. Hydrogen – Cave In – Out Universe occupies mass mᴴ velocity č and Power Pᴴ.
Preliminaries: Atoms are consisted of a Hydrogens – Heap, which vibrates and Equilibrium at the Dynamic Mode-Shapes following The Stationary – In Sphere, Tetrahedron, Cube, Ex-Sphere – Geometrical construction. Since vibration means the frequencies in each Atom or and its Compound, so thus they consist the Electromagnetic Waves. The Interactions of any two or more Energy Systems with known Status use the Markos Program which is ⇒ { The Carrier Modulating–Modulated–Demodulation Waves Process } for their Energy-Spectrum Waveform. Electromagnetic Signals may be used to Transmit Information very quickly and over great distances. Informations are encoded on Atoms – Signals using, Amplitude and Frequency modulation, and reviewed in the Program. The Process of retrieving the information from encoded Signals is detected by the Antidotes.
This simple Program–Process allows the User to detect any action of the Initial – Signal, through the Modulating–Modulated–Demodulated Process, to the Final and wish Repaired Signal. The Spectrum Analyzer is detected in all Steps. An Application of the method is used on CELLS which consist themselves a close System or, a Complete–Energy–Monad
Fabrication, falsification, and plagiarism: The major threats to social research enterprise in Nigeria
Fabrication, falsification, and plagiarism (FFP) pose significant threats to the integrity and efficacy of social research in Nigeria. As a nation characterized by diverse socio-cultural and economic landscapes, high-quality social research is essential for informed policy-making, academic advancement, and societal development. This paper explored the prevalence, underlying causes, and consequences of FFP, and also evaluating existing measures and challenges for addressing fabrication, falsification, and plagiarism within Nigerian social research enterprise. It employs secondary data collection approach in the collection of its needed data. The paper reveals a notable prevalence of FFP, driven primarily by the "publish or perish" culture, inadequate ethics training, and weak institutional oversight. The consequences of FFP are multifaceted, including erosion of research integrity, impedes academic advancement and knowledge acquisition, deterioration of public confidence in research institutions, psychological effects on researchers and students, and economic implications. Ethical codes of research and institutional protocols, creation of office research integrity, software for plagiarism detection, training and capacity development, legal and institutional penalties, and global partnerships and norms were found to be the existing measures and policies for mitigating FFP in Nigeria. These existing measures and policies were obstructed by insufficient implementations, insufficient awareness and education regarding research ethics, institutional and structural limitations, publication pressure and professional progression, insufficient legal and regulatory framework, cultural influences and the normalization of misconduct, restricted access to plagiarism detection instruments, and significance global cooperation. Based on these insights, the paper recommends strengthening ethical training programs, enhancing institutional oversight, fostering a culture of integrity, leveraging advanced technological tools, and protecting whistleblowers to effectively reduce FFP in Nigerian social research
Numerical Simulation and Fractional Order Analysis of COVID-19 Model with Treatment Intervention
COVID-19 remains a significant global health challenge, especially in regions where healthcare systems are strained and treatment accessibility varies. This study develops a fractional-order mathematical model for COVID-19 transmission that incorporates treatment effects to realistically capture disease control measures. Using Caputo fractional derivatives, the model effectively accounts for memory effects and complex time-dependent dynamics that classical integer-order models may overlook. The model’s semi-analytical solution is obtained through the Adams–Bashforth–Moulton method, ensuring accurate and computationally efficient results. Analytical proofs confirm the existence, uniqueness, and boundedness of solutions, verifying the model's robustness. A thorough sensitivity analysis identifies critical parameters impacting COVID-19 spread, such as treatment rate and transmission coefficients. Simulation outcomes demonstrate that increasing treatment rate and reducing contact rate substantially decrease infection prevalence. Comparative studies reveal that the fractional-order model offers superior flexibility and precision over traditional integer-order models in representing COVID-19 dynamics. The Adams–Bashforth–Moulton method serves as an effective numerical technique for approximating model solutions, supporting its use in epidemic control strategies. The findings highlight the vital role of sustained treatment efforts combined with behavioural controls in mitigating COVID-19 transmission. This model provides a valuable framework for public health planning and can be adapted to other infectious diseases exhibiting memory-dependent transmission characteristic
EMPLOYEE RESISTANCE TO ORGANIZATIONAL CHANGE: CAUSES AND STRATEGIC INTERVENTIONS IN NIGERIA HOSPITALITY INDUSTRY
The hospitality industry in Nigeria is undergoing rapid transformation driven by technological advancement, shifting consumer preferences, and increased competition. While organizational change has become essential for operational efficiency and market relevance, it is frequently met with resistance from employees—the key implementers of such change. This study explores the underlying causes of employee resistance to organizational change and evaluates strategic interventions within Nigeria’s hospitality sector. Grounded in Lewin’s Change Management Theory (Unfreeze–Change–Refreeze), the research adopts a qualitative approach using semi-structured interviews with 20 employees across various hospitality organizations. The findings reveal that resistance stems from factors such as fear of job loss, inadequate communication, lack of employee involvement, and poor leadership engagement. Strategic responses, including inclusive communication, participatory decision-making, and targeted training, were found to mitigate resistance and enhance change readiness. The study contributes to the limited empirical literature on change resistance within the Nigerian hospitality context and offers practical insights for managers and policymakers aiming to implement sustainable change initiatives. Implications for theory, practice, and future research are also discussed
Impact of Electronic Manpower Planning Practices on Organizational Performance in Manufacturing Companies in Cross River State
This study investigated the impact of electronic manpower planning practices on organizational performance in manufacturing companies in Cross River State, Nigeria. In an era where technology-driven solutions are increasingly shaping operational efficiencies, the study explored the extent to which electronic manpower planning and electronic recruitment practices influence organizational outcomes. Adopting a descriptive survey design, the research sampled 258 human resource management personnel from 21 manufacturing companies in the state. Data were collected using a structured and validated questionnaire titled Electronic Human Resources Management Practices and Organization Performance Questionnaire (EHRMPOPQ), with a reliability coefficient of 0.82. Linear regression analyses revealed that electronic manpower planning practices accounted for 50.4% of the variation in organizational performance, while electronic recruitment practices explained 68.9% of the variance. The results showed that both electronic manpower planning and electronic recruitment practices significantly and positively impact organizational performance, leading to enhanced workforce efficiency, cost optimization, and improved employee satisfaction. The study concludes that the adoption of electronic manpower planning systems is instrumental in fostering operational excellence and recommends that manufacturing companies invest in advanced electronic HR systems, continuous employee training, and robust data security measures. By doing so, they can sustain competitive advantage and achieve higher levels of productivity in an increasingly digitalized industrial landscape