Fair East Publishers: E-Journals
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Unified Digital Platforms for Refugee Case Management: A Framework for Service Coordination and Efficiency
No full textThis paper explores the potential of unified digital platforms in enhancing refugee case management and service coordination. The integration of digital tools in refugee support systems promises significant improvements in efficiency, data accessibility, and decision-making. By creating a comprehensive framework that supports interoperability, secure information sharing, and automation, digital platforms can streamline case management processes, enhance service delivery, and reduce administrative burdens for humanitarian organizations. Through an in-depth analysis, this paper discusses the core components of digital refugee case management platforms, including the integration of secure digital identities, the role of artificial intelligence and automation for decision support, and the ethical considerations of data privacy. The research highlights the challenges faced in digital adoption, such as technological access issues, digital illiteracy, and cultural barriers. Furthermore, it offers policy recommendations to strengthen digital refugee services, such as investing in digital infrastructure, improving digital literacy, and fostering public-private partnerships for sustainable platform development. The paper concludes with a call for improved stakeholder collaboration and a focus on scalability and adaptability to address the diverse needs of refugee populations globally. The findings underscore the transformative potential of digital systems in optimizing refugee case management while addressing operational inefficiencies.
Keywords: Digital Case Management, Refugee Services, Service Coordination, Interoperability, Data Privacy, Stakeholder Collaboration
Evaluating the cost-benefit dynamics of cybersecurity compliance investments: A multi-sectoral analysis across financial, educational, and e-commerce industries
No full textFollowing the assertion of recent studies (Balogun, 2025) establishing the foundational role of compliance investments in mitigating data privacy breaches within U.S. healthcare; while the study is limited to the cost-benefit dynamics of such investments across other critical industries, this study investigates cybersecurity compliance investments and outcomes across financial, educational, and e-commerce sectors using quantitative methods. Data were drawn from the SEC EDGAR database, IBM Cost of a Data Breach Report, and the Privacy Rights Clearinghouse. Descriptive statistics, multivariate regression, cost-benefit analysis, logistic regression, and k-means clustering were employed to assess expenditure patterns, outcome efficiency, and compliance maturity. Results reveal that while the financial sector had the highest average investment ($850M), its cost-benefit ratio (CBR = 0.00547) lagged behind the education sector (CBR = 0.02016), which achieved the highest efficiency despite minimal investment. Zero-trust adoption (? = -1.81) and MFA (? = -1.60) emerged as the strongest predictors of breach resilience. The study recommends regulatory transparency on cybersecurity ROI, targeted support for low-capacity institutions, a shift to resilience-based auditing, and mandatory architectural safeguards for e-commerce platforms to optimize compliance effectiveness across sectors.
Keywords: Cybersecurity Compliance, Cost-Benefit Ratio, Breach Prediction, Sectoral Investment Efficiency, Regulatory Strategy
Scalable API-Based infrastructure for inter-wallet digital transactions
No full textThe accelerated growth of carrying out financial transactions digitally has given rise to the increasing reliance on electronic wallets (e-wallets) as a means of conducting cashless payments. Interoperability between such e-wallets has, however, remained a major challenge, hindering the conduct of seamless transactions across payment platforms. This study therefore proposes an Application Programming Interface (API) infrastructure to enable users to transfer funds across multiple closed and semi-closed e-wallet systems. The methodology deployed to achieve this goal involves the development of a (Representational State Transfer) REST-based API services deployed on a cloud-based infrastructure, enhancing secure, efficient, and scalable inter-wallet fund transfers. The adopted performance metrics include a measure of concurrent API requests recorded between 50 and 500 Requests per Second (RPS), average API response time between 200ms to 500ms and database transactions between 500 to 1000 Transactions per Second (TPS). The result of this system suggests an improved transaction speed, usability, and security. The findings contribute towards continuous research efforts to improve interoperability among digital transactions targeted at a holistic financial inclusivity.
Keywords: E-Wallet Interoperability, Financial Inclusion, API Infrastructure, Digital Transaction, Secure Fund Transfer. 
Integrating food safety surveillance into early public health detection systems: A framework for preventing foodborne-related cancers
No full textFoodborne illnesses remain a persistent public health challenge in the United States and globally, with an estimated 600 million cases and over 400,000 deaths worldwide each year. While acute foodborne infections caused by pathogens such as Salmonella, Listeria monocytogenes, and E. coli have received substantial attention, there is increasing concern over the long-term health effects of chronic exposure to foodborne contaminants. Mounting evidence has linked substances such as aflatoxins, nitrites, nitrates, mycotoxins, polycyclic aromatic hydrocarbons, and heavy metals to various forms of cancer, including liver, stomach, colorectal, and esophageal cancers. These carcinogenic agents often enter the food supply chain through poor agricultural practices, inadequate food storage, or insufficient processing standards—especially in underserved communities and resource-limited regions. Current food safety surveillance systems are primarily designed to detect and respond to immediate outbreaks rather than long-term health outcomes. These systems typically operate in silos, disconnected from cancer registries, environmental health monitoring platforms, and early detection programs. This fragmentation creates missed opportunities for early intervention, risk mitigation, and informed policy development. This paper proposes a novel integrated surveillance framework that bridges food safety monitoring with public health data systems, enabling early identification and tracking of foodborne exposure-related cancer risks. Drawing on global best practices in food regulatory models and advances in public health informatics, we present a cross-sectoral approach involving real-time contaminant detection, data integration with electronic medical records (EMRs) and cancer registries, predictive analytics, and targeted screening for high-risk populations. The proposed system supports timely interventions, strengthens regulatory compliance, and contributes to the long-term goal of reducing the cancer burden linked to foodborne exposures. Implementation of this model will require inter-agency collaboration, modern technological infrastructure, clear data-sharing policies, and the development of a skilled workforce. Ultimately, this paper argues for a paradigm shift—one that unites food safety and chronic disease prevention in a coordinated strategy to safeguard population health and advance health equity.
Keywords: Food Safety Surveillance, Cancer Prevention, Public Health Integration, Risk Assessment, Regulatory Compliance
Framework for digital tools integration in U.S. retail and manufacturing project management
No full textIn the evolving U.S. retail and manufacturing sectors, integrating digital tools into project management enhances efficiency, collaboration, and customer experiences. This framework provides a structured approach built on four key components: assessment, tool selection, change management, and continuous improvement. Organizations begin by evaluating current project management processes to identify gaps and digital enhancement opportunities. Selecting the right tools—such as project management software, collaboration platforms, and data analytics—ensures alignment with organizational goals. A phased implementation approach minimizes disruption and maximizes adoption. Effective change management, including stakeholder engagement and training, fosters a culture of digital transformation. Continuous evaluation establishes performance metrics, enabling adjustments to optimize tool effectiveness. By systematically assessing, selecting, and integrating digital tools while managing change and maintaining adaptability, organizations enhance project management capabilities. This framework drives innovation, streamlines processes, and strengthens customer focus, positioning businesses for success in a competitive landscape.
Keywords: Framework, Digital Tools, Integration, Retail, Manufacturing, Project Management
Social responsibility in Guinean micro, small and medium-sized enterprises: What mechanisms underlie employees' causal attributions of their behavior?
No full textThis article analyzes how employees of micro, small and medium enterprises (MSMEs) in Guinea perceive corporate social responsibility (CSR) initiatives and how these perceptions influence their behavior. A qualitative study was conducted with semi-directed interviews with fifteen employees of ten MSMEs from different sectors, using an inductive approach and an interpretative framework for data analysis. Data analysis with Nvivo revealed that CSR and employee engagement are influenced by perceived supports and social interactions. These findings encourage MSMEs to engage in initiatives that address authentic societal concerns.
Keywords: Substantive CSR, Symbolic CSR, Causal Attribution, Social Exchange, Employee Perceptions and Behaviours
Effect of government policies on performance of small and medium-sized enterprises in Delta State, Nigeria
No full textThe study examined the effect of government policies on SMEs performance in Delta State. The study used a cross-sectional survey research design. The population for this study was 1,312 SMEs operators, Job Creation Bureau staff (as regulators), and staff of the Delta State Ministry of Trade and Investment. A structured questionnaire was used as the research instrument for data collection. The study employed the convenience sampling technique. In selecting the sampling size, the Taro Yamane formula was adopted. Thus, 307 owners of SMEs and regulators in Delta State were selected as the sample size. In order to test the suitability of the research instrument, the internal consistency reliability method was used. Additionally, the hypotheses were tested using the multiple regression analysis method. Findings showed that access to loans (ß = 0.237, P < 0.05), export promotion (ß = 0.260, P < 0.05), entrepreneurial training (ß = 0.207, P < 0.05), and provision of infrastructure (ß = 0.261, P < 0.05) have a positive effect on SMEs performance. The study concluded that government policies have a significant and positive effect on SMEs performance in Delta State. The study recommended, amongst others, that policymakers and stakeholders should focus on prioritising investments in critical infrastructure such as transportation networks, energy supply, telecommunications, and industrial parks in areas with high SME concentration.
Keywords: Access to Loan, Government Policies, SMEs Performance
Leveraging business intelligence for competitive advantage in the energy market: A conceptual framework
No full textIn today's highly competitive energy market, organizations are constantly seeking innovative ways to gain a competitive edge. Leveraging Business Intelligence (BI) has emerged as a key strategy for companies looking to enhance their decision-making processes and drive sustainable growth. This conceptual framework paper aims to explore how organizations in the energy sector can effectively leverage BI to achieve a competitive advantage. The paper begins by defining BI and highlighting its importance in the context of the energy market. BI encompasses the processes, technologies, and tools that organizations use to collect, integrate, analyze, and present business information. By harnessing BI, energy companies can gain valuable insights into market trends, customer behavior, and operational performance, enabling them to make informed decisions and drive business success. The conceptual framework explores the key components of BI, including data collection, data integration, data analysis, and data visualization. It emphasizes the importance of aligning BI initiatives with organizational goals and strategies to ensure maximum impact. Additionally, the paper discusses the role of leadership in driving BI adoption and fostering a data-driven culture within the organization. Furthermore, the framework outlines various strategies for leveraging BI to achieve a competitive advantage in the energy market. These include using BI to optimize operational efficiency, improve customer satisfaction, and identify new business opportunities. The paper also highlights the importance of data governance and security in ensuring the integrity and confidentiality of BI data. Overall, this conceptual framework provides a roadmap for energy companies looking to harness the power of BI to gain a competitive advantage. By implementing the strategies outlined in this paper, organizations can unlock the full potential of their data and drive sustainable growth in the dynamic energy market.
Keywords: Business Intelligence, Competitive Advantage, Energy Market
The role of forensic auditing in strengthening corporate transparency and fraud prevention in financial institutions
No full textFinancial fraud poses a significant threat to the stability and integrity of financial institutions, undermining investor confidence and economic stability. As financial crimes become increasingly sophisticated, forensic auditing has emerged as a critical tool in detecting fraudulent activities, enhancing corporate transparency, and ensuring regulatory compliance. This paper explores various forensic auditing techniques and their effectiveness in identifying and preventing financial fraud within financial institutions. It examines how forensic audits contribute to corporate accountability by uncovering financial misconduct, strengthening internal controls, and reinforcing adherence to regulatory frameworks such as the Sarbanes-Oxley Act (SOX), Securities and Exchange Commission (SEC) regulations, and Public Company Accounting Oversight Board (PCAOB) standards. The study also discusses the integration of advanced technologies, including data analytics and artificial intelligence, in forensic investigations. Through case studies and empirical analysis, this paper highlights the pivotal role of forensic auditing in fraud prevention, corporate governance enhancement, and the promotion of financial system integrity.
Keywords: Forensic Auditing, Corporate Transparency, Fraud Prevention, Risk Assessment, Financial Crime Investigation
Digital transformation and the financial performance of food and beverage firms in Nigeria
Get PDFThe growing adoption of digital technologies has redefined competitive advantage and financial performance in the global business landscape, yet evidence from Nigeria’s food and beverage sector remains limited and fragmented. This study investigates the influence of digital transformation on the financial performance of three leading food and beverage firms including Nestle Nigeria Plc, Cadbury Nigeria Plc, and Guinness Nigeria Plc covering a twelve-year period (2013–2024). The objective was to determine how digital transformation expenditures, specifically digital infrastructure adoption, digital technology investments and digital epayment adoption proxied by IT service costs, consulting and subscription expenses, and telephone charges respectively, affect key performance indicators: Return on Assets (ROA), Revenue, and Net Profit Margin (NPM). A quantitative, longitudinal research design was adopted, utilizing audited annual financial statements to construct panel data. Descriptive statistics, correlation analysis, and multivariate regression were applied, with diagnostic tests confirming robustness of the models. Findings reveal that digital transformation significantly influences financial performance across the firms, though with variations in scope and magnitude. For ROA, significant effects were evident in Nestle and Cadbury, but not in Guinness, suggesting differential alignment of digital tools with asset efficiency. Revenue was positively and consistently influenced across all firms, particularly through IT service costs and telephone-related investments. In terms of NPM, consulting and subscription expenses and telephone charges were significant across all firms, while IT service costs mattered more in Nestle and Cadbury. The study recommends that firms sustain targeted digital investments that directly support operational efficiency, prioritize advanced IT infrastructure and analytics to drive revenue growth, and deepen customer-oriented digital platforms to enhance profitability.
Keywords: Digital Transformation, Financial Performance, Digital payments, Food and Beverage Firms, Return on Assets, Revenue, Net Profit Margin