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Impact of Cryptocurrency Adoption on Financial Inclusion in Myanmar
Get PDFPurpose: Aim of the study was to analyze the impact of cryptocurrency adoption on financial inclusion in Myanmar.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Cryptocurrency adoption in Myanmar holds promise for enhancing financial inclusion by offering faster and cheaper remittance options, especially in underserved rural areas. However, challenges such as regulatory uncertainties and concerns over consumer protection must be addressed through clear and supportive regulatory frameworks. To maximize benefits, Myanmar should focus on improving financial literacy, developing user-friendly cryptocurrency platforms integrated with mobile money services, and establishing coherent regulatory guidelines in collaboration with international bodies.
Unique Contribution to Theory, Practice and Policy: Diffusion of innovation theory, technology acceptance model (TAM) & institutional theory may be used to anchor future studies on impact of cryptocurrency adoption on financial inclusion in Myanmar. Practical initiatives should prioritize enhancing financial literacy and digital education programs tailored to Myanmar\u27s population. Initiatives that promote understanding of blockchain technology and cryptocurrencies among consumers, businesses, and policymakers are crucial. Policymakers in Myanmar need to develop clear and supportive regulatory frameworks that balance innovation with consumer protection
Strengthening Fintech Security in Uganda: An Analysis of Insider Threats and Effective Risk Management Strategies
Get PDFPurpose: The purpose of this study is to analyze security policies and risk management practices for reducing insider threats in the Fintech industry in Uganda. The study aims to classify and identify insider threats, examine how they relate to risk management procedures, and offer practical recommendations for improving Fintech companies’ security measures.
Methodology: The study adopted a descriptive research design, focusing on diverse respondents across various sectors. Data was collected through surveys from 25 respondents, including IT security specialists, accountants, finance officers, and other relevant roles. The sectors represented included Banking and Finance (52%), Security (12%), Information Technology and Telecommunications (8% each), and others such as Agriculture, Civil Society, and Public Service (each 4%). The study employed both qualitative and quantitative data collection methods, with secondary data reviewed from existing literature and case studies. Statistical analysis was conducted using SPSS to interpret the data and identify trends in insider threat occurrences and risk management practices.
Findings: The study revealed that insider threats in Uganda\u27s Fintech sector can manifest in both physical and cyber forms. The predominant risk management practices identified include proactive measures such as robust security policies, access controls utilized by 88% of respondents, security awareness training by 80%, and continuous monitoring by 68%. Incident response and reporting procedures were also critical, ensuring that breaches are swiftly addressed to minimize impact. There was a significant positive correlation (r = .65; p < 0.05) between the frequency of past insider attacks and the regularity of risk assessments, underscoring the importance of regular evaluations in mitigating risks.
Unique Contribution to Theory, Practice and Policy: The study contributes to the theoretical understanding of how local cultural attitudes and regulatory frameworks impact effectiveness of risk management strategies, providing insights that can inform RMF adaptations in similar contexts. For practitioners, it recommends development and implementation of robust security policies, employee training programs, and advanced monitoring systems. Policy-makers are advised to support regulatory frameworks that mandate regular risk assessments and the adoption of best Fintech practices
Development of AI-Driven Healthcare Systems in Rural India
Get PDFPurpose: To aim of the study was to analyze the development of AI-driven healthcare systems in rural India.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: AI-driven healthcare systems are increasingly being integrated into rural India\u27s healthcare infrastructure to overcome traditional barriers such as limited access to healthcare facilities and skilled medical professionals. These systems utilize AI technologies like machine learning and natural language processing to enhance diagnostic accuracy, optimize treatment planning, and improve patient outcomes remotely. Challenges remain, including infrastructure limitations and the need for customized AI solutions that address regional healthcare needs effectively.
Unique Contribution to Theory, Practice and Policy: Diffusion of innovations theory, technology acceptance model (TAM) & socio-technical systems theory may be used to anchor future studies on development of AI-driven healthcare systems in rural India. Implement comprehensive training programs for healthcare providers to build confidence and competence in using AI-driven tools. Policymakers should prioritize investments in digital infrastructure, including reliable internet connectivity and digital health platforms, to support the implementation of AI-driven healthcare systems in rural areas
Framework for Mitigating Phishing E-mail in the Kenyan Banking Industry Using Artificial Intelligence (AI)
Get PDFPurpose: Phishing is a significant cybercrime threat that affects individuals and organizations globally, including the banking industry in Kenya. The sophistication of phishing attacks continues to increase, and it is increasingly challenging traditional security measures to mitigate these threats. The purpose of this thesis is to build a framework for mitigating phishing e-mail attacks in the banking industry in Kenya using artificial intelligence. Phishing emails are among the most common techniques of cyber-attacks utilized by assailants to gain unauthorized access to sensitive information such as financial details, personal information, and login credentials. These attacks can have devastating effects on the victims, leading to financial loss, reputation damage, and even identity theft.
Methodology: The framework development consists of four main stages: data collection, data preprocessing, model training, and deployment. In the data collection stage, a dataset of phishing and non-phishing emails is gathered from various sources such as public databases, dark web forums, and bank employees mail. In the data preprocessing stage, the collected data is cleaned, preprocessed, and labeled. In the model training stage, machine learning algorithms and NLP techniques is used to develop a robust phishing and non-phishing emails detection model. In the deployment stage, the model is integrated into the bank\u27s email system to detect and block phishing emails in real-time. The framework is then evaluated using a dataset of phishing and non-phishing e-mails collected from the banking industry in Kenya. Various metrics such as accuracy, precision, recall, and F1-score are used to evaluate the framework. The framework is able to detect new phishing e-mails that were not previously included in the dataset, demonstrating its ability to adapt to new threats.
Findings: The framework is based on a hybrid approach that combines machine learning algorithms, natural language processing (NLP) techniques, and human expertise that identify and prevent phishing emails from reaching their targets. The four main components of this framework include e-mail filtering, feature extraction, classification, and response. The e-mail filtering component uses several algorithms to identify and filter suspicious e-mails. The feature extraction component analyzes the content of the e-mail and extracts relevant features to help classify the e-mail as either legitimate or phishing. The classification component uses machine-learning algorithms to classify the e-mail as either legitimate or phishing. Finally, the response component takes appropriate action based on the classification results.
Unique Contribution to Theory, Practice and Policy: The framework provides an effective way to identify and mitigate phishing e-mail attacks, reducing the risk of data breaches and financial losses
Impact of Artificial Intelligence on Supply Chain Efficiency in Turkey
Get PDFPurpose: The aim of the study was to evaluate the impact of artificial intelligence on supply chain efficiency in Turkey.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Artificial intelligence (AI) has significantly enhanced supply chain efficiency in Turkey. AI applications such as predictive analytics, demand forecasting, and optimization algorithms have streamlined operations, reduced costs, and improved decision-making. Automation of repetitive tasks through AI has increased productivity and accuracy in inventory management and logistics.
Unique Contribution to Theory, Practice and Policy: Resource-based view (RBV) theory, dynamic capabilities theory & technology acceptance model (TAM) may be used to anchor future studies on the impact of artificial intelligence on supply chain efficiency in Turkey. Invest in continuous training and development programs for supply chain professionals to effectively utilize AI tools. Develop industry standards and regulatory frameworks for the ethical use of AI in supply chains. These policies should address data privacy, security, and the responsible use of AI technologies to protect stakeholders
Association between Healthcare Provider Communication and Patient Adherence to Treatment Plans in Australia
Get PDFPurpose: The aim of the study was to analyze the association between healthcare provider communication and patient adherence to treatment plans in Australia.
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Effective healthcare provider communication in Australia significantly enhances patient adherence to treatment plans. Clear explanations and empathetic engagement from providers positively influence patient compliance. Conversely, poor communication or unclear instructions lead to lower adherence rates. These findings underscore the pivotal role of effective communication in fostering patient adherence and improving healthcare outcomes nationwide.
Unique Contribution to Theory, Practice and Policy: Social cognitive theory (SCT), health belief model (HBM) & transactional model of stress and coping (TMSC) may be used to anchor future studies on association between healthcare provider communication and patient adherence to treatment plans in Australia. Implement targeted communication training programs for healthcare providers at all levels. These programs should emphasize skills such as active listening, patient-centered communication, and cultural competence. Advocate for policy initiatives that prioritize communication as a core component of quality healthcare delivery
Knowledge, Attitudes and Lifestyle Practices among Patients with Type 2 Diabetes at University Teaching Hospital, Butare- Rwanda
Get PDFPurpose: Type 2 diabetes mellitus is a chronic metabolic disease related to insulin and is one of the most significant worldwide health problems. In the developing world, the number of people afflicted by type 2 diabetes mellitus continues rising, and carries with it considerable morbidity and mortality. Type 2 diabetes mellitus problems can be avoided or even stopped with behavior adjustment and the adoption of healthy living practices. Nevertheless, the majority of diabetes mellitus patients lack adequate knowledge of and application of healthier lifestyles. Aim of the study is to determine the knowledge, attitudes and practice regarding lifestyle modification in type 2 diabetes patients at CHUB.
Methodology: A cross section study was applied with the sample size of 364 participants, almost the half 189(51.9%) of the participants were aged between 41-60 years old. regarding the marital status the majority 246(67.6%) were married. Concerning to education level almost a half 188(51.6%) did primary school only. In this population, 39.8% of the participants were farmers while only 9.1% formal employment. Data collected with a structured questionnaire and analyzed with SPSS version 26.
Findings: The study found that 98.4% of participants had good knowledge about lifestyle modifications for managing type 2 diabetes, with all 364 participants aware of the importance of health checks and screening. However, 13.2% were unaware that limiting fatty foods contributes to managing the condition. Nearly all participants (98.1%) had a positive attitude towards a controlled diet, and all agreed on the importance of regular exercise to prevent complications. While 12.9% believed traditional healers could cure diabetes, 94.8% followed effective lifestyle practices. Factorial ANOVA revealed significant effects of BMI, marital status, and occupation on lifestyle practices (p<0.001).
Unique Contribution to Theory, Practice and Policy: As recommendations, measures should be taken to maintain and to improve the health promotion about life style modifications to prevent and manage the type two diabetes mellitus and other none communicable diseases
The Therapeutic Power of Creativity: The Role of Art Therapy in the Treatment of Post-Traumatic Stress Disorder
Get PDFPurpose: This study will explore the role of creative art therapies in the treatment of PTSD, with the view of judging their efficacy in reducing symptoms of an emotional and psychological nature associated with trauma. Creative art therapies provide a complementary approach to other traditional treatments by facilitating emotional expression and working through traumatic experiences.
Methodology: A systematic review was conducted, and 11 randomized controlled trials and experimental studies published between 2014 and 2024 were included in the review. The databases used for searching include PubMed, PsycINFO, and Scopus. Study selection was performed based on specific inclusion criteria. The techniques of art therapy applied in the studies included visual arts, music, and drama.
Findings: The studies hint at how art therapies may contribute to symptom reduction, particularly in managing anxiety and depression among people with PTSD. Art therapy seemed to be effective in improving emotional regulation and processing trauma in more than one population, including refugee children and war veterans. However, its effectiveness varied based on the type of therapy, its duration, the person\u27s characteristics, and cultural factors.
Unique Contribution to Theory, Practice, and Policy: This research provides evidence of the potential of art therapy as an adjunct treatment for PTSD. It also serves to accentuate the need for tailor-made therapy programs in view of individual and cultural differences. The results stress the integration of creative therapies with traditional psychotherapies to enhance outcomes. More large-scale studies will be needed to develop standardized protocols and further expand the use of art therapy across mental health disorders
The Impact of Fake News and Misinformation on Political Communication and Civic Engagement in Nigeria
Get PDFPurpose: The aim of the study was to the impact of fake news and misinformation on political communication and civic engagement in Nigeria
Methodology: This study adopted a desk methodology. A desk study research design is commonly known as secondary data collection. This is basically collecting data from existing resources preferably because of its low cost advantage as compared to a field research. Our current study looked into already published studies and reports as the data was easily accessed through online journals and libraries.
Findings: Fake news and misinformation have a significant impact on political communication and civic engagement in Nigeria. They hinder informed decision-making, fuel political polarization, and erode public trust in institutions. These issues also contribute to the spread of rumors and conspiracy theories, undermining the credibility of accurate news sources. Furthermore, fake news is used for political manipulation and inciting violence in the country. Addressing this problem requires a comprehensive approach, including media literacy programs, fact-checking efforts, and legislative measures to combat the dissemination of false information.
Unique Contribution to Theory, Practice and Policy: Agenda-setting theory, selective exposure theory & social identity theory may be used to anchor future studies on impact of fake news and misinformation on political communication and civic engagement in Nigeria. Proactively develop crisis communication plans tailored to Kenya\u27s unique challenges, such as natural disasters or political instability. Align crisis communication practices with Kenya\u27s legal and regulatory framework, including data protection and media laws
Healthcare Provider -Patient Communication Techniques and Cervical Cancer Management at Moi Teaching and Refferal Hospital Cancer Center
Get PDFPurpose: The study examined the effect of communication techniques in healthcare provider-patient communication on management of cervical cancer among women seeking treatment at Chandaria Centre, Moi Teaching and Referral hospital in Kenya. The main objectives of the study was to was to examine the contribution of healthcare provider-patient communication on management of cervical cancer among women seeking treatment at Moi teaching and referral hospital cancer centre.
Methodology: The study was supported by the health belief model. A descriptive research design was used through a mixed method approach to generate and analyze data. Systematic random sampling was used to select 320 respondents in the study for quantitative data while purposive sampling was used to identify 10 respondents for qualitative data. Structured questionnaires and interviews were used to generate data for the proposed study. Quantitative analyses was done using statistical package for social sciences (SPSS) tool version 25. Qualitative data was analyzed thematically in line with study themes/objectives.
Findings: The study found out that communication techniques applied by health care provider and patients had significant effects on the uptake of cervical cancer management among women seeking treatment at Moi Teaching and Referral hospital cancer centre.
Unique Contribution to Theory, Practice and Policy: The study recommended that there is need for significant improvements in communication strategies used by those dealing with patients, especially those suffering from terminal illnesses since their communicative responses had a significant impact on how they respond to treatment and management. The study also recommended that healthcare providers need to be sensitive to cross-cultural communication so as to reduce the incidences of misinterpretation