bluuebunny/crossref_metadata_2025 huggingface dataset:
Immunization Status of Children in Urban Slums of Rawalpindi and Barriers to Immunization
Authors: Nazish Khan  , Naila Azam  , Qaisar Javed  , Mehwish Riaz  , Fatima Ali Raza Mughal  , Sana Iqbal
Published: August 2024

Objective: To determine immunization status of children residing in urban slums of Rawalpindi and identify the barriers to immunization.
Study Design: Cross sectional study.
Place and Duration of Study: Slums of Takht Pari, Rawalpindi Pakistan, from Jan to Mar 2020.
Methodology: Children, aged 12-23 months, residing at Takht Pari were enrolled. Two sessions of a free medical camp were arranged at Takht Pari by Department of Community Medicine, Foundation University, Islamabad. Data was collected from parents visiting the medical camp with the mother labelled as the primary respondent. Immunization cards and mother’s recall were used to assess the immunization status of children.
Results: Two hundred ninety-one (72.9%) children were completely immunized, partially immunized were 106(26.6%) while 2(0.5%) were unimmunized. Three hundred eighty-eight (97.2%) children were vaccinated through government centers while those who received vaccination through private clinics were 9(2.3%). Factors associated with incomplete immunization were education of parents (p<0.001), number of children (p<0.001), gender of child (p=0.001), access to TV or Radio (p<0.001), and site of immunization (government/private) (p<0.001).
Conclusion: Immunization status of 73% shows that unremitting efforts are essential for attaining universal coverage of immunization with extra attention to underprivileged areas. Planning and placement of public facilities for preventive services needs to be an urgent priority improving service utilization and enhancing coverage as people tend to follow ease of accessibility for using immunization services.
Isatin come on the stage of CDK4/6 inhibitor
Authors: Pradana Radiktya Surya , Fareza Muhammad Salman
Published: August 2024

Cyclin-dependent kinase (CDK) 4/6 inhibitors have significantly improved the prognosis for patients with hormone receptor-positive (HR+) and human epidermal growth factor receptor 2-negative (HER2-) breast cancer, including those with metastatic or advanced breast cancer (mBC/ABC). Recent research has focused on developing CDK4/6 inhibitors with diverse structural frameworks, including isatin-based compounds. Isatin and its derivatives have shown promise in inhibiting CDK4/6, with potential efficacy against breast cancer cell lines. Studies have also indicated that isatinyl-2-aminobenzoylhydrazone (ISABH) complexes, particularly those with transition metals like nickel (Ni-ISABH), exhibit strong binding affinities to CDK6 and fulfill key pharmacokinetic criteria.
Teacher Efficacy and Implementation of Competency Based Assessment in Western Kenya
Authors: Macheso Isaac Situma , Wafula Robert W. , Kati Robert O.
Published: August 2024

This study looked at teacher efficacy and implementation of Competency Based Assessment in Western Kenya. The study was conducted in Trans-Nzoia, Bungoma and Busia Counties. It was grounded on Stafflebeam’s CIPP model targeting head-teachers and their respective grade 6 science and technology teachers. Mixed methods research design was used. Cluster sampling technique was used in coming up with the three counties. Stratified sampling was used to categorize the school into two groups, 1,653 public and 768 private. In each of the two strata, simple random sampling was used to choose on 246 participating schools, 167 public and 79 private. Simple random sampling was also used in selecting participating teachers in schools with two or more science and technology teachers teaching in grade 6. Three data collection instruments were employed, that is: questionnaire for grade 6 science and technology teachers; interview guide for head-teachers and document analysis guide to get Grade 6 pupils’ science and technology Kenya Primary School Education Assessment (KEPSEA) school means. It was analyzed using Pearson’s correlation so as to establish the linear relationship between teacher efficacy and CBA implementation. The coefficient of determination (r2) between teacher efficacy and implementation of CBA was also calculated. The study established a positive moderate correlation between teacher efficacy and implementation of CBA r (244) =.61**, p=.001. The coefficient of determination (r2) between teacher efficacy and implementation of CBA, r2 =.3738 was calculated, the results (37.38) implying that 37.38% of the variance in CBA implementation can be explained by teacher efficacy. The study recommended the government through the ministry of education to organize and facilitate more CBC training to help teachers familiarize with CBA to enhance their assessment efficacy. Teachers on the other hand should engage in professional development opportunities organized by the government and actively attend workshops that provide them with necessary knowledge and strategies to effectively integrate CBA into their teaching practices. This study contributes to a deeper understanding of teacher efficacy and implementation of CBA in Kenyan context, which can inform efforts to improve assessment practices.
Active/Active data center strategies for financial services: Balancing high availability with security
Authors: Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

The financial services sector demands high availability and security due to its critical role in global economies and the sensitive nature of its data. Active/active data center strategies have emerged as a robust solution, enabling continuous operations even during outages or maintenance by ensuring that all data centers are fully operational and synchronized. This paper explores the benefits and challenges of implementing active/active data centers in financial services, focusing on the intricate balance between achieving high availability and maintaining rigorous security standards. Active/active configurations provide unparalleled redundancy and uptime, crucial for minimizing service disruptions that could lead to significant financial losses or reputational damage. By distributing workloads across multiple active data centers, financial institutions can enhance resilience against localized failures and ensure seamless failover capabilities. However, this high availability comes with complex challenges, particularly in ensuring that security protocols are uniformly applied across all active sites. The risk of data breaches and cyberattacks increases as more endpoints are exposed, making it essential to implement advanced security measures, such as end-to-end encryption, real-time threat detection, and stringent access controls. The review also discusses the importance of regulatory compliance, as financial institutions must navigate a landscape of diverse and often stringent regulations across different jurisdictions. Achieving a balance between high availability and security requires not only technological innovation but also strategic planning and ongoing risk assessment. Emerging trends in cloud computing and software-defined networking (SDN) are also considered, highlighting how these technologies can support the dynamic and secure operation of active/active data centers. Ultimately, this review underscores the need for financial institutions to adopt a holistic approach that integrates high availability with robust security frameworks, ensuring that their data centers can meet the demands of a rapidly evolving digital environment while safeguarding against potential threats.
Keywords: Security, Financial Services, Data Center, Balancing High Availability, Active.
WAN optimization techniques: Exploring BGP attributes across industries
Authors: Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

Wide Area Network (WAN) optimization has become a critical focus for industries seeking to enhance network performance, particularly in the era of digital transformation and cloud-based services. This paper explores the role of Border Gateway Protocol (BGP) attributes as a key element in WAN optimization across various industries. BGP, as the protocol responsible for routing data between autonomous systems on the internet, plays a significant role in determining the efficiency and reliability of data transmission across WANs. By leveraging specific BGP attributes, organizations can optimize network paths, reduce latency, and improve overall network performance. The paper begins by providing an overview of WAN optimization techniques and the importance of BGP in modern network architecture. It then delves into the specific BGP attributes that are instrumental in optimizing WAN performance, including Local Preference, AS Path, MED (Multi-Exit Discriminator), and BGP Communities. The discussion includes how these attributes can be manipulated to achieve optimal routing decisions, prioritize traffic, and manage bandwidth more effectively. Case studies from various industries, including financial services, healthcare, manufacturing, and telecommunications, are presented to illustrate the practical applications and benefits of BGP-based WAN optimization. These examples highlight how organizations have successfully implemented BGP attribute manipulation to address industry-specific challenges such as ensuring low-latency communication, maintaining high availability, and supporting large-scale data transfers. The paper also addresses the challenges associated with BGP attribute manipulation, including the complexities of configuration and the potential risks of misconfigurations leading to network instability. It concludes with a discussion on emerging trends in WAN optimization, such as the integration of software-defined WAN (SD-WAN) technologies and the role of machine learning in automating and enhancing BGP-based optimizations. In summary, this paper provides a comprehensive exploration of how BGP attributes can be leveraged for WAN optimization across different industries, offering insights into best practices and future directions in network performance enhancement.
Keywords: WAN, Optimization, Techniques, BGP, Attributes.
Real-Time Cybersecurity threat detection using machine learning and big data analytics: A comprehensive approach
Authors: Kingsley David Onyewuchi Ofoegbu  , Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

The rapid digitization of industries and the proliferation of connected devices have exponentially increased the surface area for cyber threats, making traditional cybersecurity methods increasingly inadequate. The paper explores the integration of advanced technologies to enhance threat detection capabilities in a dynamically evolving cyber landscape. This study emphasizes the critical role of machine learning (ML) and big data analytics in identifying, analyzing, and mitigating cyber threats in real time. By leveraging the massive volumes of data generated across networks, ML algorithms can detect anomalous behavior patterns and predict potential threats with high accuracy. Big data analytics further enhances this process by processing and analyzing data at unprecedented speeds, enabling swift identification and response to security breaches. The comprehensive approach outlined in this study addresses key challenges, including the complexity of modern cyber threats, the need for scalability in cybersecurity solutions, and the importance of minimizing false positives. Additionally, the research highlights the importance of continuous learning models that adapt to new and emerging threats, ensuring that the system remains resilient against sophisticated attacks. Case studies of successful implementations across various industries are examined to demonstrate the practical applications and benefits of this approach. The findings suggest that integrating ML and big data analytics in real-time threat detection systems significantly improves cybersecurity defenses, providing organizations with the tools to proactively counteract cyber threats. This approach is positioned as a vital strategy for organizations seeking to fortify their cybersecurity posture in an increasingly interconnected world, where the speed and accuracy of threat detection are paramount to safeguarding critical assets and maintaining trust.
Keywords: Real-Time, Cybersecurity, Threat Detection, ML, Big Data Analytics.
The role of data science in transforming business operations: Case studies from enterprises
Authors: Ibrahim Adedeji Adeniran  , Christianah Pelumi Efunniyi  , Olajide Soji Osundare  , Angela Omozele Abhulimen
Published: August 2024

Data science has emerged as a pivotal force in transforming business operations across various industries, driving innovation, operational efficiency, and strategic decision-making. This review paper explores the multifaceted role of data science in business, examining key concepts, historical integration, and strategic advantages. It discusses the application of data science in diverse business domains, highlighting techniques such as predictive analytics, sentiment analysis, and optimization that have revolutionized marketing, supply chain management, finance, and customer service. The paper further analyzes data science's tangible and intangible benefits, including cost reduction, improved customer experience, and enhanced productivity, which collectively contribute to a competitive edge in the market. The paper reflects on emerging trends like artificial intelligence, machine learning, ethical data practices, and the integration of blockchain and IoT, which are set to shape the future of data-driven business operations. It offers recommendations for businesses to prepare for this evolving landscape, emphasizing the importance of a data-centric culture, robust infrastructure, and collaboration. The paper concludes by underscoring the critical role of data science in fostering sustained business success in an increasingly data-driven world.
Keywords: Data Science, Business Transformation, Predictive Analytics, Operational Efficiency, Artificial Intelligence, Strategic Decision-Making.
Centralized network systems in Fintech: A comparative global review
Authors: Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

Centralized network systems have emerged as a cornerstone of fintech, revolutionizing the way financial services are delivered globally. This comparative review examines the adoption, advantages, and challenges of centralized network systems across different regions, focusing on their impact on efficiency, security, and financial inclusion. Centralized networks offer significant benefits, including streamlined operations, reduced transaction costs, and enhanced data security through robust, centralized control mechanisms. These systems have facilitated the rapid expansion of digital financial services, particularly in developed markets, by providing a reliable infrastructure for processing large volumes of transactions and managing vast amounts of sensitive financial data. However, the review also highlights the challenges and limitations associated with centralized systems, particularly in developing economies. Issues such as scalability, vulnerability to cyberattacks, and regulatory constraints pose significant hurdles. The comparative analysis explores how different regions have addressed these challenges, with a focus on innovations in cybersecurity, regulatory frameworks, and the integration of emerging technologies like artificial intelligence and blockchain. Furthermore, the review delves into the role of centralized networks in promoting financial inclusion, particularly in underserved regions where traditional banking infrastructure is lacking. By enabling more accessible and affordable financial services, centralized systems have the potential to bridge the gap between the unbanked population and formal financial systems. However, the centralization of control also raises concerns about data privacy, market monopolies, and the potential for systemic risks in the event of network failures. In conclusion, this global review underscores the dual-edged nature of centralized network systems in fintech. While they offer significant opportunities for enhancing financial services and promoting inclusion, they also present complex challenges that require careful consideration and strategic management. The findings suggest that a balanced approach, combining centralized and decentralized elements, may offer the most sustainable path forward for the fintech industry.
Keywords: Centralized, Network, Systems, Fintech, Global.
Blockchain and quantum cryptography: Future of secure telecommunications in banking
Authors: Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

The rapid evolution of telecommunications in the banking sector has necessitated advanced security measures to protect sensitive financial data and transactions. Blockchain technology, with its decentralized and immutable ledger system, has emerged as a promising solution for ensuring transparency, traceability, and security in banking communications. However, the potential threat posed by quantum computing to current cryptographic methods presents new challenges to the integrity of blockchain systems. Quantum cryptography, leveraging the principles of quantum mechanics, offers a robust alternative to traditional encryption techniques by enabling secure key distribution that is theoretically immune to quantum attacks. This abstract explores the convergence of blockchain and quantum cryptography as a dual framework for securing telecommunications in banking. The integration of blockchain's decentralized architecture with quantum cryptography's advanced encryption capabilities can significantly enhance the security of financial transactions, safeguarding against both current and future cyber threats. The paper also discusses the potential challenges in implementing these technologies, including the need for quantum-resistant algorithms, the high cost of quantum infrastructure, and the technical complexities associated with merging blockchain with quantum systems. In conclusion, while blockchain and quantum cryptography individually offer significant advancements in cybersecurity, their combined application represents the future of secure telecommunications in banking. As quantum computing continues to advance, the adoption of quantum cryptography alongside blockchain will be crucial in maintaining the security and integrity of banking communications. This paper argues for the importance of continued research and development in this area, highlighting the need for cross-disciplinary collaboration to overcome existing barriers and fully realize the potential of these technologies in securing the future of banking telecommunications.
Keywords: Blockchain, Quantum Cryptography, Future, Secure Telecommunication, Banking.
Integration of Blockchain technology in biomedical diagnostics: Ensuring data security and privacy in infectious disease surveillance
Authors: Francisca Chibugo Udegbe  , Ejike Innocent Nwankwo  , Geneva Tamunobarafiri Igwama  , Janet Aderonke Olaboye
Published: August 2024

The integration of blockchain technology in biomedical diagnostics offers a promising solution to the challenges of data security and privacy in infectious disease surveillance. As the digitalization of healthcare systems accelerates, the need to protect sensitive health information becomes increasingly critical. Blockchain, with its decentralized and immutable nature, provides a robust framework for ensuring the integrity and confidentiality of biomedical data. This abstract explores how blockchain technology can be leveraged to enhance data security and privacy in the context of infectious disease surveillance, where rapid and accurate data sharing is essential for effective public health responses. Infectious disease surveillance relies on the collection, analysis, and dissemination of large volumes of data, often shared across multiple institutions and geographical regions. Traditional systems for managing this data are vulnerable to breaches, unauthorized access, and data tampering, which can compromise public health efforts and patient privacy. Blockchain technology addresses these vulnerabilities by enabling secure, transparent, and tamper-proof data exchanges. Each transaction or data entry is recorded in a distributed ledger, accessible only to authorized participants, thus ensuring that the data remains secure and unaltered. Moreover, blockchain’s inherent transparency allows for real-time monitoring and auditing of data flows, which is crucial in the timely detection and response to infectious disease outbreaks. The use of smart contracts within blockchain networks further enhances the automation and efficiency of data management, ensuring that data is only accessed and shared according to predefined rules and conditions. This not only safeguards patient privacy but also builds trust among stakeholders, including patients, healthcare providers, and public health authorities. In conclusion, the integration of blockchain technology in biomedical diagnostics presents a transformative approach to addressing the critical issues of data security and privacy in infectious disease surveillance. By leveraging blockchain's unique features, healthcare systems can ensure that sensitive diagnostic data is protected, thus supporting more effective and secure public health interventions in the fight against infectious diseases.
Keywords: Blockchain, Biomedical Diagnostics, Data Security, Privacy, Infectious Disease Surveillance.
Water conservation strategies in green buildings: Innovations and best practices
Authors: Ifechukwu Gil-Ozoudeh  , Obinna Iwuanyanwu  , Azubuike Chukwudi Okwandu  , Chidiebere Somadina Ike
Published: August 2024

Water conservation is a fundamental aspect of sustainable building design, crucial for reducing environmental impact and promoting efficient resource use. This paper examines innovative water conservation strategies and best practices employed in green buildings to optimize water usage and enhance sustainability. As water scarcity becomes an increasing concern globally, integrating advanced water management techniques in building design is essential for achieving long-term environmental and economic benefits. Innovative water conservation strategies include the implementation of low-flow fixtures and appliances, which significantly reduce water consumption in residential and commercial buildings. Technologies such as dual-flush toilets, low-flow showerheads, and faucet aerators are designed to minimize water use while maintaining performance standards. Additionally, advanced irrigation systems, including drip irrigation and weather-based controllers, help in reducing water wastage in landscaping. Rainwater harvesting is another effective strategy, capturing and storing rainwater for non-potable uses such as irrigation, toilet flushing, and cooling systems. This practice not only reduces reliance on municipal water supplies but also decreases stormwater runoff, mitigating potential environmental impacts. Greywater recycling, which involves the reuse of wastewater from sinks, showers, and washing machines, further contributes to water conservation by repurposing water for irrigation and other non-potable applications. The integration of smart water management systems represents a significant advancement in water conservation. These systems use sensors and data analytics to monitor and manage water usage in real time, identifying leaks, optimizing consumption patterns, and providing actionable insights for improving efficiency. Additionally, the use of permeable paving and green roofs can enhance water infiltration and reduce runoff, contributing to sustainable water management in urban environments. Best practices for water conservation in green buildings also emphasize the importance of design considerations, such as optimizing water-efficient landscaping and implementing comprehensive water management plans. Education and training for building occupants on water-saving behaviors further support conservation efforts and contribute to overall efficiency. This review highlights the critical role of innovative water conservation strategies in green buildings, underscoring their potential to address water scarcity challenges and promote sustainable practices. Through the adoption of these strategies, green buildings can achieve significant water savings, enhance environmental sustainability, and contribute to more resilient urban infrastructure.
Keywords: Water, Conservation, Green Buildings, Innovations, Best Practices.
Enhancing cybersecurity resilience through real-time data analytics and user empowerment strategies
Authors: Kingsley David Onyewuchi Ofoegbu  , Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

In the increasingly digitalized world, cybersecurity resilience has become a critical priority for organizations and individuals alike. As cyber threats evolve in complexity and frequency, traditional security measures are proving insufficient. This paper explores the role of real-time data analytics and user empowerment strategies in enhancing cybersecurity resilience. Real-time data analytics offer the ability to detect and respond to threats as they occur, significantly reducing the window of vulnerability. By leveraging big data and machine learning algorithms, these analytics provide actionable insights that allow for proactive threat management and rapid response to potential breaches. Simultaneously, empowering users through education, awareness, and intuitive security tools is essential for strengthening the first line of defense against cyber threats. User-centric strategies that include personalized training programs, real-time alerts, and simplified interfaces enhance users' ability to recognize and react to potential threats. These strategies not only mitigate the risk of human error, which is a significant factor in many cybersecurity incidents, but also foster a culture of security mindfulness within organizations. The integration of real-time data analytics with user empowerment initiatives creates a dynamic, multi-layered defense mechanism that is more resilient to the fast-changing landscape of cyber threats. This dual approach ensures that both technological and human elements of cybersecurity are optimized, leading to more robust protection of sensitive information and critical infrastructure. The paper also discusses the challenges of implementing these strategies, such as the need for continuous updates, the potential for data privacy concerns, and the importance of balancing automation with human oversight. In conclusion, the paper argues that the synergy between real-time data analytics and user empowerment is crucial for building a resilient cybersecurity framework capable of withstanding current and future threats.
Keywords: Cybersecurity, Resilience, Real-Time, Data Analytics, User Empowerment Strategies.
Empowering users through AI-driven cybersecurity solutions: enhancing awareness and response capabilities
Authors: Kingsley David Onyewuchi Ofoegbu  , Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

Artificial Intelligence (AI)-driven cybersecurity solutions are revolutionizing how organizations and individuals address the growing complexity and sophistication of cyber threats. This paper explores the role of AI in empowering users by enhancing their awareness and response capabilities, making cybersecurity more accessible and effective. AI-driven tools and systems are designed to detect, predict, and mitigate potential threats in real-time, thereby enabling users to respond more swiftly and effectively to cyber incidents. By leveraging machine learning algorithms and advanced analytics, AI can identify patterns and anomalies that may indicate security breaches, often before they fully materialize. This proactive approach not only improves threat detection but also reduces the response time, minimizing potential damage. One of the key benefits of AI in cybersecurity is its ability to personalize security measures according to individual user behavior. By continuously analyzing user activity, AI systems can tailor security protocols to better protect against specific threats, thereby enhancing overall security posture. Additionally, AI-driven solutions offer users insights into potential vulnerabilities and provide guidance on best practices for maintaining security, thus fostering greater awareness and proactive behavior among users. The integration of AI into cybersecurity also addresses the challenge of managing large volumes of data generated by modern digital environments. AI systems can process and analyze this data far more efficiently than traditional methods, enabling quicker and more accurate identification of threats. Furthermore, AI can assist in automating routine security tasks, such as patch management and threat hunting, freeing up human resources to focus on more complex issues that require human judgment. In conclusion, AI-driven cybersecurity solutions are instrumental in empowering users by enhancing their awareness and response capabilities. These systems offer a proactive, personalized, and efficient approach to cybersecurity, making it possible for users to stay ahead of potential threats. As cyber threats continue to evolve, the role of AI in cybersecurity will become increasingly critical, ensuring that both individuals and organizations can maintain a robust defense against the ever-changing landscape of digital threats.
Keywords: AL-Driven, Cybersecurity, Awareness, Empowering, Response Capabilities.
Retrofitting existing buildings for sustainability: Challenges and innovations
Authors: Obinna Iwuanyanwu  , Ifechukwu Gil-Ozoudeh  , Azubuike Chukwudi Okwandu  , Chidiebere Somadina Ike
Published: August 2024

Retrofitting existing buildings for sustainability is a critical strategy in addressing the environmental impact of the built environment, enhancing economic benefits, and improving social well-being. As buildings are significant contributors to global energy consumption and carbon emissions, retrofitting presents a valuable opportunity to mitigate these effects. However, the process involves numerous challenges, including technical, financial, regulatory, and logistical obstacles. Structurally, integrating new technologies with outdated systems can be complex, while high initial costs and uncertain returns on investment pose financial barriers. Regulatory issues, such as building codes and zoning laws, further complicate retrofitting efforts, and the potential disruption to occupants adds operational difficulties. Despite these challenges, innovations in sustainable retrofitting offer promising solutions. Energy-efficient technologies, such as advanced HVAC systems, high-performance insulation, and energy-efficient lighting, significantly reduce energy consumption. The integration of renewable energy sources, like solar panels, wind turbines, and geothermal systems, further enhances sustainability. Smart building technologies, including building automation systems, IoT sensor networks, and data analytics, enable precise energy management and optimization. Additionally, the use of sustainable materials and practices, such as green roofs, recycled materials, and water conservation systems, contributes to the overall sustainability of retrofitted buildings. Successful case studies highlight the feasibility and benefits of retrofitting, demonstrating significant economic and environmental gains in historical, commercial, and residential buildings. As the industry progresses, advancements in retrofitting technologies, increased regulatory support, and the growing market for green building certifications will drive further adoption. Public-private partnerships also present opportunities for collaborative efforts in promoting sustainable retrofitting. While retrofitting existing buildings for sustainability entails various challenges, continuous innovation and investment are crucial for overcoming these obstacles. Stakeholders, including policymakers, industry professionals, and property owners, must actively engage in and support retrofitting initiatives to achieve a sustainable built environment and ensure long-term environmental, economic, and social benefits.
Keywords: Sustainable Retrofitting, Smart Building, Technology, Environmental Impact.
The future of project management in the digital age: Trends, challenges, and opportunities
Authors: Ibrahim Adedeji Adeniran  , Edith Ebele Agu  , Christianah Pelumi Efunniyi  , Olajide Soji Osundare  , Henry Oziegbe Iriogbe
Published: August 2024

As we transition further into the digital age, the landscape of project management is undergoing significant transformation. The integration of digital technologies is reshaping traditional project management practices, presenting both opportunities and challenges. This  paper explores the future of project management in the digital era, focusing on emerging trends, evolving challenges, and potential opportunities. The digital revolution is driving several key trends in project management. First, the adoption of advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), and Big Data Analytics is enhancing decision-making and project execution. These technologies offer predictive insights, automate routine tasks, and provide real-time data analytics, enabling project managers to make more informed decisions and improve efficiency. Second, the rise of remote and hybrid work models is transforming team dynamics and project coordination. Digital collaboration tools and platforms facilitate seamless communication and teamwork across geographical boundaries, making it possible for organizations to harness a global talent pool. Despite these advancements, the digital age also brings new challenges. The rapid pace of technological change requires project managers to continuously update their skills and adapt to new tools and methodologies. Managing cybersecurity risks has become a critical concern, as the increased reliance on digital platforms exposes projects to potential data breaches and cyber threats. Additionally, integrating new technologies with existing systems can be complex and costly, requiring careful planning and resource allocation. The digital era offers numerous opportunities for enhancing project management practices. The ability to leverage AI and data analytics can lead to more accurate project forecasting and risk management, improving overall project outcomes. Digital tools also enable greater flexibility and agility in project execution, allowing organizations to respond more quickly to changes and challenges. Furthermore, the focus on digital transformation can drive innovation, leading to new business models and competitive advantages. In conclusion, the future of project management in the digital age is characterized by rapid technological advancements, evolving challenges, and exciting opportunities. Embracing these changes and effectively leveraging digital tools will be crucial for project managers to drive successful project outcomes and achieve strategic goals in an increasingly digital world.
Keywords: Future, Project Management, Digital Age, Trends, Challenges.
Leveraging UX design and prototyping in agile development: A business analyst’s perspective
Authors: Adams Gbolahan Adeleke  , Temitope Oluwafunmike Sanyaolu  , Christianah Pelumi Efunniyi  , Lucy Anthony Akwawa  , Chidimma Francisca Azubuko
Published: August 2024

In Agile development, leveraging UX design and prototyping is crucial for delivering user-centered solutions that meet business goals and user needs. This review explores the integration of UX design and prototyping within Agile frameworks from a business analyst’s perspective, highlighting how these practices enhance project outcomes and ensure alignment with both user expectations and business objectives. User Experience (UX) design and prototyping are essential in Agile development for creating intuitive and effective user interfaces. UX design focuses on understanding user needs, behaviors, and pain points through user research, personas, and journey mapping. Prototyping involves creating early versions of the product to visualize and test design concepts. Integrating these practices within Agile methodologies helps in iterating designs quickly, gathering user feedback, and refining features based on real-world use. From a business analyst’s perspective, UX design and prototyping offer several benefits. Firstly, they facilitate clearer communication between stakeholders, designers, and developers by providing tangible representations of ideas and requirements. This reduces misunderstandings and ensures that all parties have a shared vision of the project outcomes. Secondly, early and continuous prototyping allows for rapid validation of design assumptions, reducing the risk of costly changes later in the development process. The review also discusses how business analysts can leverage UX design and prototyping to prioritize features, manage stakeholder expectations, and drive decision-making. By incorporating user feedback into iterative cycles, business analysts can ensure that the final product not only meets user needs but also aligns with business goals and delivers value. Additionally, the use of UX design principles and prototyping tools enhances the agility of the development process, enabling teams to adapt to changing requirements and market conditions effectively. In conclusion, integrating UX design and prototyping within Agile development provides a strategic advantage by aligning user experience with business objectives. For business analysts, this approach ensures that products are user-centered, functional, and responsive to evolving needs, ultimately contributing to the success of Agile projects.
Keywords: UX Design, Prototyping, Agile Development, Business Analyst, User Experience, Iterative Design, Stakeholder Communication, Feature Prioritization, User Feedback, Development Process.
Enhancing Fintech operations: The role of cross-functional collaboration in network architecture
Authors: Olajide Soji  Osundare  , Chidiebere Somadina Ike  , Ololade Gilbert Fakeyede  , Adebimpe Bolatito Ige
Published: August 2024

Enhancing fintech operations through the optimization of network architecture is crucial for maintaining competitiveness and ensuring seamless service delivery in the rapidly evolving financial technology landscape. This review explores the critical role of cross-functional collaboration in achieving this objective. In fintech, where speed, security, and reliability are paramount, the integration of diverse expertise from various functional areas, such as IT, cybersecurity, data analytics, and business strategy, is essential to designing and maintaining an efficient network architecture. Cross-functional collaboration fosters a holistic approach to network design, ensuring that the architecture is resilient, scalable, and adaptable to emerging technological advancements and regulatory requirements. The paper highlights how collaborative efforts can lead to the identification and mitigation of potential vulnerabilities, thereby enhancing the security and reliability of fintech operations. Moreover, it underscores the importance of aligning network architecture with business objectives, which can only be achieved through the active involvement of stakeholders from different departments. By leveraging the diverse perspectives and expertise of cross-functional teams, fintech organizations can develop innovative solutions that optimize network performance, reduce downtime, and improve the overall user experience. This study also discusses the challenges of fostering cross-functional collaboration, such as communication barriers and differing priorities among departments. However, it argues that these challenges can be overcome through effective leadership, clear communication channels, and a shared commitment to organizational goals. The findings suggest that fintech companies that prioritize cross-functional collaboration in their network architecture development are better positioned to adapt to the fast-paced changes in the industry, enhance operational efficiency, and deliver superior financial services. In conclusion, the review posits that cross-functional collaboration is a key driver of innovation and efficiency in fintech network architecture, ultimately contributing to the success and sustainability of fintech operations in a highly competitive market..
Keywords:  Fintech, Network Architecture, Role, Cross-Functional Collaboration, Operations.
Integrating business intelligence and predictive analytics in banking: A framework for optimizing financial decision-making
Authors: Ibrahim Adedeji Adeniran  , Christianah Pelumi Efunniyi  , Olajide Soji Osundare  , Angela Omozele Abhulimen
Published: August 2024

Integrating Business Intelligence (BI) and predictive analytics in banking has become a pivotal strategy for optimizing financial decision-making. This review paper explores this integration's theoretical foundations, current trends, and challenges while proposing a comprehensive framework to enhance decision-making processes. The proposed framework emphasizes the importance of a unified data architecture, advanced data integration techniques, and the synergistic use of BI tools and predictive models. By examining the implications for banking institutions, the paper highlights how this integration can transform strategic and operational decisions, improve risk management, and drive personalized customer engagement. Additionally, future trends such as the adoption of AI, real-time analytics, and enhanced data governance are discussed, along with recommendations for banks aiming to implement this integration successfully. The findings underscore the transformative potential of combining BI and predictive analytics to foster innovation, efficiency, and competitive advantage in the banking sector.
Keywords:  Business Intelligence (BI), Predictive Analytics, Banking Sector, Financial Decision-Making, Data Integration.
Social Media Promotion of Local Brand Skincare on Generation Z’s Buying Decision
Authors: Qotrunnada Cielomita Brilian , Marsasi Endy Gunanto
Published: August 2024

The background of this study is because of the unoptimal concept of promotion (through) social media and the brand image among Generation Z regarding using Instagram to purchase skincare products. Brand image is used as an element of novelty to determine consumer response to purchasing decisions. The gap in this study is brand awareness of purchasing decisions, which still differs from previous studies results. This research was conducted to determine the effect of promotion (through) social media on increasing brand awareness, brand image, and purchasing decisions among consumers. The Social Learning Theory underpins this research, namely a theory that discusses the mediation process between stimuli, responses, and an individual's behavior, which is learned through observing the environment. The research object focused on local brand skincare product companies, and the subjects focused on generation Z, who use local skincare brands. Questionnaires were distributed to 220 respondents to gather the necessary data. This study conducted tests using IBM SPSS Statistics 26 software and SEM-AMOS 24. The results revealed that all hypotheses were supported. Promotion (through) social media, brand awareness, and brand image affect the purchase intention.
Karakteristik Dewan terhadap Struktur Modal dan Dampaknya terhadap Nilai Perusahaan Manufaktur Syariah
Authors: Aldiansyah Aldiansyah , Mai M. Umar , Marwansyah Marwansyah
Published: August 2024

Capital structure and firm value have long been developed by a large number of researchers, but no agreement has been reached. One of the keys to optimizing organizational resources is board diversity. Having a well-diversified board influences company performance. An independent and effective board increases the quality and quantity of information provided by insiders to the public and therefore reduces adverse selection costs. This study aims to determine the effect of board characteristics on the capital structure of Islamic manufacturing companies in Indonesia and their impact on firm value. The analytical method used is multiple linear regression using panel data. The independent variables analyzed in this study are the number of directors, the number of commissioners, the number of independent commissioners, and the number of female directors, while the dependent variable is leverage as measured using the debt to asset ratio, which is then tested again on firm value as the dependent variable. as measured using Tobin's Q. The research results show that the number of the Board of Directors has no effect on the capital structure, the number of the Board of commissioners has a positive and significant effect on the capital structure, the number of independent commissioners has an effect positively and significantly to capital structure, the number of female board of directors has a negative and significant effect on capital structure, and capital structure has a positive effect on firm value.
Key Factors Analysis of Customer Satisfaction of Marketplaces in Batam City
Authors: Yulianti Yulianti , Christiarini Renny
Published: August 2024

This study aims to analyze customer satisfaction in the city of Batam. The data collected in this study were 400 respondents. This study uses primary data using an online questionnaire (google form). Respondents are Batam residents who use the marketplace. The sampling method used is non-probability sampling. This research uses a quantitative analysis method. This study uses the Partial Least Squares (PLS) methods with SPSS Statistics. The study results are Shopee (Indonesia) and Taobao (China) are the most widely used marketplaces in Batam. E-Service quality, brand image, price, product quality, and trust significantly influence a purchase decision. In addition, price, product quality, and trust significantly affect customer satisfaction. Although e-service quality and brand image are not determinants in the satisfaction felt by marketplace users, they are the basis for consumer observations and decisions when buying the desired product.
Efek Pandemi Covid-19 terhadap Kinerja Keuangan dan Ekonomi Daerah Tahun 2019-2021
Authors: Umroh Muhammad , Utami Finansia Palmira , Badruddin Rudy
Published: August 2024

Pandemi Covid-19 berdampak pada berbagai aspek kehidupan, salah satunya sangat berpengaruh terhadap kinerja keuangan pemerintah daerah di Indonesia. Tujuan penelitian ini adalah untuk mengetahui dan menguji perbedaan rata-rata kinerja keuangan dan ekonomi daerah sebelum dan saat pandemi. Kinerja keuangan daerah diukur dari Pendapatan Asli Daerah dan belanja modal. Ekonomi daerah diukur dari pertumbuhan ekonomi, tingkat pengangguran terbuka, rasio penduduk miskin, dan indeks Gini. Penelitian ini juga menguji laju pertumbuhan keenam variabel tersebut untuk mengetahui perbedaan rata-rata pertumbuhan kinerja keuangan dan ekonomi daerah sebelum dan saat pandemi. Sampel dan data penelitian ini adalah 34 provinsi di Indonesia periode 2019-2021. Alat analisis yang digunakan adalah analisis ANOVA dan Kruskal-Wallis test. Hasil penelitian untuk hipotesis 1 menghasilkan hanya variabel pertumbuhan ekonomi dan tingkat pengangguran terbuka yang menunjukkan terdapat perbedaan rata-rata pada 34 provinsi di Indonesia sebelum dan saat pandemi. Hasil hipotesis 2 menunjukkan terdapat perbedaan rata-rata pertumbuhan kinerja keuangan sebelum dan saat pandemi, sedangkan pada pengujian perbedaan rata-rata pertumbuhan ekonomi daerah yang tidak mendukung hipotesis hanya variabel pertumbuhan indeks Gini.