Fair East Publishers: E-Journals
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Organizational culture and organizational performance in the Palestinian public sector: The mediating role of employee engagement
No full textThis study aims to investigate the impact of organizational culture on organizational performance and the mediating role of employee engagement in the Palestinian Ministry of Transportation (MOT). The role of organizational culture and employee engagement in leveraging organizational performance provided impetus for this study. Prior research minimally investigated the relationship between these variables in public sector contexts. The study used a questionnaire to collect data from a sample of (294) MOT employees adopting the simple random sampling method. The questionnaire adopted Denison’s Organizational Culture Model (DOCS) to measure organizational culture and the Utrecht Work Engagement Survey (UWES) to assess employee engagement. SPSS and SMARTPLS4 were used to analyze the primary data. The variables of the study have a moderate level in MOT. The study revealed that organizational culture has a positive effect on employee engagement and organizational performance. Also, employee engagement has a significant positive impact on organizational performance. The study showed that employee engagement has no mediating role in the effect of organizational culture on organizational performance. The study implies the strong impact organizational culture has on performance. It recommended that MOT leaders and managers strengthen their organization’s culture by involving employees, fostering consistency, and enhancing employee engagement to improve organizational performance.
Keywords: Organizational Culture, Organizational Performance, Employee Engagement
Enhancing public sector financial operations and inclusion through innovative Fintech solutions
No full textThis review explores the transformative potential of financial technology (Fintech) in enhancing public sector financial operations and promoting financial inclusion. It examines key Fintech innovations such as automation, blockchain, and artificial intelligence (AI), revolutionizing financial transparency, efficiency, and service delivery in government operations. The paper highlights the challenges of adopting Fintech in the public sector, including regulatory hurdles, technical integration, and data privacy and security concerns. It also identifies emerging trends such as AI, machine learning, and blockchain that offer significant opportunities for public sector growth and digital transformation. Policy recommendations are provided to support Fintech adoption, emphasizing the need for strategic public-private partnerships to ensure sustainable implementation and scalability. Ultimately, this review underscores the critical role of Fintech in modernizing public financial systems, improving operational efficiency, and fostering inclusive access to government financial services.
Keywords: Fintech, Public Sector Financial Management, Blockchain, Financial Inclusion, Artificial Intelligence, Digital Transformation
Telemedicine implementation in rural areas: Technical solutions and policy recommendations
No full textTelemedicine has emerged as a transformative solution for addressing rural populations' healthcare disparities. This review paper explores the current state of telemedicine in rural areas, highlighting adoption trends, common services, and the barriers to implementation. It further delves into the technical solutions for telemedicine, including infrastructure enhancements, advanced telehealth platforms, and integration with existing healthcare systems. The paper provides policy recommendations for regulatory frameworks, financial incentives, and education initiatives to support telemedicine adoption. This paper discusses emerging technologies such as AI, machine learning, VR, and AR, and their potential impact on remote healthcare. It also emphasizes the importance of sustainability and scalable models tailored to diverse rural settings. By addressing these critical aspects, telemedicine can significantly improve healthcare accessibility and quality in rural areas, bridging the gap between rural and urban healthcare services.
Keywords: Telemedicine, Rural Healthcare, Digital Health, Remote Monitorin
Democratizing public-impact algorithms: Advancing equitable and explainable AI systems for decision-making in U.S. health, finance, and education sectors
Full text linkArtificial intelligence (AI) systems are increasingly embedded in critical decision-making processes across healthcare, finance, and education. While these technologies offer unprecedented potential for efficiency, prediction, and personalization, they also pose significant risks when designed or deployed without attention to fairness, transparency, and inclusivity. This manuscript presents a framework for advancing equitable and explainable AI (XAI) in public-impact sectors to ensure that algorithmic systems reinforce, rather than undermine, social equity and institutional trust. Equitable AI refers to models that actively mitigate disparities across demographic groups and ensure just outcomes, while explainable AI emphasizes interpretability and human comprehension of algorithmic logic. We explore the technical foundations and development pipelines required to build such systems—ranging from bias-aware data curation and model transparency methods to post-hoc interpretability tools and human-in-the-loop mechanisms. Through domain-specific applications, we demonstrate how AI can be designed to improve patient triage and care coordination, increase fairness in credit scoring and financial access, and reduce bias in academic assessments and resource distribution. We also assess outcome metrics such as disparity reduction, user comprehension, decision traceability, and stakeholder satisfaction. The findings highlight the need for interdisciplinary collaboration in the development and oversight of AI systems intended for broad societal impact. Equitable and explainable AI is not simply a technological imperative, but a moral and practical necessity for institutions seeking to deliver just, inclusive, and trustworthy services at scale. This manuscript offers actionable guidance for researchers, developers, and decision-makers committed to building algorithms that serve all communities fairly.
Keywords: Artificial intelligence (AI), Explainable AI (XAI), Equitable AI. 
Exploring purchase behavior of apple product among university students in Ghana
Full text linkSmartphones are still getting super popular worldwide, and Apple is definitely a brand people look up to, seeing their devices as fancy and desirable. In Ghana, university students are a really important group of buyers. These young tech enthusiasts are getting better and better with tech, and they're starting to have more money to spend. Even though they're interested in cool tech like Apple's, the high price makes it hard for them to actually buy it. this research digs into what makes Ghanaian university students decide to buy Apple stuff. Using some smart thinking from the "Theory of Planned Behavior" and the "Technology Acceptance Model," the study uses a survey to ask 360 students about their thoughts. The answers are then analyzed to see how things like how cool the brand is, how much they care about price, how good they think the product is, what their friends think, and how useful the tech is, all affect their decision to buy. The results show that a strong brand image and good marketing really make students want to buy Apple, while thinking the products are too expensive and not worth the performance actually discourage them. Also, friends' opinions, how useful the tech is for school, if they plan to use it a lot in the future, whether they can fit it into their budget, and if they can pay in installments all make it easier for them to buy. The study basically says that companies selling Apple stuff should focus on making their brand seem prestigious and showing how useful their products are for students' education. They should also offer ways to make it easier for students to afford them. These findings give a good understanding of how people in growing markets think when buying things and offer useful ideas for marketing high-end tech to young people.
Keywords: Apple Products, University Students, Purchase Behavior, Ghana, Marketing Strategies
The technology-enabled low-budget filmmaking model: Leveraging innovation for high-quality productions
Full text linkThis paper explores the transformative role of technology in enabling high-quality filmmaking on low budgets, focusing on how technological innovations have leveled the playing field for independent filmmakers. Traditionally, the film industry has been dominated by large studios with the resources to afford expensive production equipment and post-production facilities. However, the rise of affordable digital cameras, advanced editing software, crowdfunding, and digital distribution platforms has shifted this paradigm, allowing filmmakers with limited financial resources to create professional-grade films. The study highlights key technological advancements that have democratized filmmaking, such as digital cameras, sound design tools, and post-production software, and examines how these innovations have allowed filmmakers to overcome financial constraints. Case studies of successful low-budget films, such as The Blair Witch Project, Paranormal Activity, and Veronica Mars, are analyzed to demonstrate the effective use of technology in cinematography, sound design, post-production, and distribution. These case studies underscore the importance of creativity, minimalism, and audience engagement in overcoming financial limitations. The paper concludes by discussing the implications of this technology-enabled model for the future of the film industry, emphasizing the shift towards more inclusive, diverse, and innovative practices. Finally, potential areas for future research are identified, including exploring emerging technologies like artificial intelligence, virtual reality, and the evolving role of digital distribution and crowdfunding in filmmaking.
Keywords: Low-Budget Filmmaking, Technology in Filmmaking, Digital Distribution, Crowdfunding, Film Production Innovations, Independent Cinema
Towards a framework of factors influencing sustainable innovation in enterprises
Full text linkIn the context of climate change, resource depletion, and the pressures of international integration, sustainable innovation has emerged as a key driver enabling enterprises to both strengthen their competitiveness and fulfill sustainable development goals. This paper provides a theoretical overview of SI, clarifying its role in cost optimization, risk management, brand enhancement, and the creation of long-term competitive advantages. Building on this foundation, the study analyzes the factors influencing SI within enterprises, including internal factors (financial resources, managerial capabilities, organizational culture and strategy, leadership and human capital) and external factors (institutional pressures, market dynamics, investors and stakeholders, technological advancements, and knowledge networks). Based on this review, the study proposes a measurement framework to evaluate the determinants of sustainable innovation, thereby offering a scientific basis for policymaking and sustainable development strategies in Vietnamese enterprises.
Keywords: Innovation, Sustainable Innovation, Enterprise
Strategic use of audit analytics in high-growth markets: Bridging energy infrastructure with financial forensics for regulatory integrity
Full text linkThis paper explores the integration of audit analytics within high-growth markets, particularly in the energy infrastructure sector, to support financial forensics and uphold regulatory integrity. As emerging economies undergo rapid expansion, vulnerabilities in financial and operational systems expose them to risks of corruption, misreporting, and inefficiencies. The strategic application of audit analytics not only enhances transparency but also enables predictive insights and continuous monitoring. Drawing on global case studies and empirical models, this paper presents a multi-dimensional framework that leverages audit analytics to identify financial anomalies, bridge infrastructure performance with fiscal accountability, and foster regulatory trust in volatile market environments. The study also synthesizes evidence from 100 peer-reviewed and institutional sources, 50 of which are from Zotero-managed libraries, to construct a coherent model of analytics-driven governance within energy transition.
Keywords: Audit Analytics, Financial Forensics, Energy Infrastructure, Regulatory Integrity, High-Growth Markets, Data Governance
Artificial intelligence in seismic data processing: Applications, challenges, and future directions in the oil and gas sector
Full text linkThe integration of Artificial Intelligence (AI) into seismic data processing has ushered in transformative innovations in the oil and gas sector, enhancing exploration accuracy, reducing interpretation time, and optimizing reservoir characterization. This review explores the current landscape of AI applications in seismic workflows, including automated fault detection, lithofacies classification, and real-time seismic imaging. Advanced machine learning algorithms, such as deep neural networks, convolutional neural networks (CNNs), and reinforcement learning, are being leveraged to interpret large and complex datasets with improved precision. Despite these advancements, several challenges persist, including data quality issues, interpretability of AI models, and integration with legacy geophysical systems. The paper critically examines these limitations and discusses emerging solutions, including explainable AI, hybrid learning models, and transfer learning approaches. Furthermore, the review outlines future directions such as the convergence of AI with cloud computing, edge analytics, and quantum machine learning for seismic interpretation. By offering a comprehensive overview, this study aims to provide researchers, geophysicists, and industry professionals with insights into the evolving role of AI in seismic data processing and its potential to reshape subsurface exploration in the energy sector.
Keywords: Artificial Intelligence, Seismic Data Processing, Oil and Gas Exploration, Machine Learning, Reservoir Characterizatio
Life cycle assessment (LCA) and supply chain network optimization for sustainable integration of bio-based polymers (PLA/PHA) in regional packaging systems
Full text linkThe promise of bio-based polymers like polylactic acid (PLA) and polyhydroxyalkanoates (PHA) as sustainable packaging solutions is tempered by significant real-world challenges: persistent cost premiums, complex supply chain logistics, and geographically variable environmental footprints that diminish their theoretical benefits. This study directly addresses these complexities by combining cradle-to-grave Life Cycle Assessment (ISO 14040/44) with a multi-objective Mixed-Integer Linear Programming (MILP) model to identify economically feasible and environmentally superior configurations for regional PLA and PHA packaging systems across Western Europe. Our innovative approach goes beyond traditional methods by optimizing facility locations, transportation networks, feedstock sourcing, and end-of-life options simultaneously while assessing trade-offs between total costs and Global Warming Potential (GWP). The analysis offers valuable insights: PHA consistently outperforms PLA in net energy demand (-6.5 to +9.6 MJ/kg) and achieves true circularity within effective composting systems, yet requires significant policy support to overcome its 20% capital cost disadvantage. While localized production significantly reduces emissions by 15–30% in regions rich in renewable energy, it also increases costs by 10–15%—a paradox that can only be managed through strategically designed policies. Targeted incentives for composting infrastructure further boost circularity metrics by 40%, turning waste streams into valuable resources. These findings provide policymakers with a rigorous, data-driven framework to guide regional bio-polymer transitions, shifting from generic mandates to precise strategies that promote sustainability. Ultimately, this research shows that the sustainable packaging revolution depends not just on materials innovation but also on strategically coordinating regional advantages and technological potential.
Keywords: Life Cycle Assessment, Supply Chain Optimization, Bio-based Polymers, Polyhydroxyalkanoates (PHA), Polylactic Acid (PLA), Circular Economy, Regional Sustainability, Territorial Symbiosis, Packaging Systems, Policy Integration