Pub Date : 2024-01-15DOI: 10.51594/csitrj.v5i1.718
Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, Osato Itohan Oriekhoe
In the dynamic landscape of modern business intelligence, Big Data Analytics has emerged as a transformative force, reshaping the way organizations derive insights from vast and diverse datasets. This paper provides a concise overview of the key themes explored in the comprehensive review of Big Data Analytics and its impact on modern business intelligence. Big Data Analytics represents a paradigm shift in decision-making processes, offering organizations the capability to harness the full potential of their data assets. The review delves into the multifaceted role of Big Data Analytics, emphasizing its significance in strategic planning, risk management, operational optimization, and customer-centric initiatives. Strategic planning takes a quantum leap forward as organizations leverage predictive analytics to anticipate market trends. The integration of analytics-derived insights aligns decision-making with overarching organizational objectives, driving a more informed and forward-thinking approach to strategic initiatives. Risk management becomes more proactive with the integration of Big Data Analytics, particularly in fraud detection and prevention. The ability to process large volumes of data in real-time enhances vigilance, mitigating financial risks associated with fraudulent activities cenario modeling further empowers organizations to assess and address potential risks before they materialize. Operational optimization becomes a focal point as analytics uncovers inefficiencies in manufacturing processes, supply chains, and retail operations. Real-time decision-making in retail, enabled by data analytics, ensures agility and responsiveness to changing market dynamics and customer preferences. Customer-centric initiatives are elevated through personalized marketing campaigns and predictive analytics in customer support. The review explores how Big Data Analytics enables organizations to craft personalized experiences, enhancing customer satisfaction and loyalty. The study encapsulates the transformative journey of Big Data Analytics in modern business intelligence, emphasizing its role in navigating strategic complexities, mitigating risks, optimizing operations, and placing the customer at the center of decision-making processes. The comprehensive review provides insights for organizations seeking to harness the transformative potential of Big Data Analytics in the data-driven era. Keywords: Big Data, Business Intelligence, Data Analytics, Modern Business, Review.
{"title":"BIG DATA ANALYTICS: A REVIEW OF ITS TRANSFORMATIVE ROLE IN MODERN BUSINESS INTELLIGENCE","authors":"Chioma Ann Udeh, Omamode Henry Orieno, Obinna Donald Daraojimba, Ndubuisi Leonard Ndubuisi, Osato Itohan Oriekhoe","doi":"10.51594/csitrj.v5i1.718","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.718","url":null,"abstract":"In the dynamic landscape of modern business intelligence, Big Data Analytics has emerged as a transformative force, reshaping the way organizations derive insights from vast and diverse datasets. This paper provides a concise overview of the key themes explored in the comprehensive review of Big Data Analytics and its impact on modern business intelligence. Big Data Analytics represents a paradigm shift in decision-making processes, offering organizations the capability to harness the full potential of their data assets. The review delves into the multifaceted role of Big Data Analytics, emphasizing its significance in strategic planning, risk management, operational optimization, and customer-centric initiatives. Strategic planning takes a quantum leap forward as organizations leverage predictive analytics to anticipate market trends. The integration of analytics-derived insights aligns decision-making with overarching organizational objectives, driving a more informed and forward-thinking approach to strategic initiatives. Risk management becomes more proactive with the integration of Big Data Analytics, particularly in fraud detection and prevention. The ability to process large volumes of data in real-time enhances vigilance, mitigating financial risks associated with fraudulent activities cenario modeling further empowers organizations to assess and address potential risks before they materialize. Operational optimization becomes a focal point as analytics uncovers inefficiencies in manufacturing processes, supply chains, and retail operations. Real-time decision-making in retail, enabled by data analytics, ensures agility and responsiveness to changing market dynamics and customer preferences. Customer-centric initiatives are elevated through personalized marketing campaigns and predictive analytics in customer support. The review explores how Big Data Analytics enables organizations to craft personalized experiences, enhancing customer satisfaction and loyalty. The study encapsulates the transformative journey of Big Data Analytics in modern business intelligence, emphasizing its role in navigating strategic complexities, mitigating risks, optimizing operations, and placing the customer at the center of decision-making processes. The comprehensive review provides insights for organizations seeking to harness the transformative potential of Big Data Analytics in the data-driven era. \u0000Keywords: Big Data, Business Intelligence, Data Analytics, Modern Business, Review.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139622280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-15DOI: 10.51594/csitrj.v5i1.717
Emmanuel Chibuike Daraojimba, Chinedu Nnamdi Nwasike, Abimbola Oluwatoyin Adegbite, Chinedu Alex Ezeigweneme, Joachim Osheyor Gidiagba
This comprehensive review paper delves into the application and impact of Agile methodologies in the realm of project management. Agile methodologies, initially rooted in software development, have gained widespread acceptance across various industries due to their flexibility, adaptability, and customer-centric approach. The primary objective of this review is to synthesize the current body of knowledge on Agile methodologies, highlighting their evolution, principles, and diverse applications in project management. The methodology of this review involves a systematic analysis of existing literature, encompassing peer-reviewed journals, industry reports, and case studies. This approach ensures a holistic understanding of Agile methodologies, encompassing both theoretical frameworks and practical implementations. The review categorizes Agile methodologies, such as Scrum, Kanban, and Lean, and examines their unique features and contexts of application. Key findings indicate that agile methodologies significantly enhance project performance, particularly in dynamic and uncertain environments. They foster greater collaboration, continuous improvement, and customer satisfaction. However, challenges such as resistance to change, lack of skilled personnel, and difficulties in scaling Agile practices are also identified. The review concludes that while Agile methodologies offer substantial benefits in project management, their successful implementation requires a cultural shift within organizations, adequate training, and a nuanced understanding of when and how to apply these methodologies. Future research directions include exploring the integration of Agile with traditional project management approaches and its impact on organizational performance in various sectors. Keywords: Agile Methodologies, Project Management, Industry Adaptation, Scalability, Technological Advancements, Global Economic Shifts, Artificial Intelligence (AI).
{"title":"COMPREHENSIVE REVIEW OF AGILE METHODOLOGIES IN PROJECT MANAGEMENT","authors":"Emmanuel Chibuike Daraojimba, Chinedu Nnamdi Nwasike, Abimbola Oluwatoyin Adegbite, Chinedu Alex Ezeigweneme, Joachim Osheyor Gidiagba","doi":"10.51594/csitrj.v5i1.717","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.717","url":null,"abstract":"This comprehensive review paper delves into the application and impact of Agile methodologies in the realm of project management. Agile methodologies, initially rooted in software development, have gained widespread acceptance across various industries due to their flexibility, adaptability, and customer-centric approach. The primary objective of this review is to synthesize the current body of knowledge on Agile methodologies, highlighting their evolution, principles, and diverse applications in project management. The methodology of this review involves a systematic analysis of existing literature, encompassing peer-reviewed journals, industry reports, and case studies. This approach ensures a holistic understanding of Agile methodologies, encompassing both theoretical frameworks and practical implementations. The review categorizes Agile methodologies, such as Scrum, Kanban, and Lean, and examines their unique features and contexts of application. Key findings indicate that agile methodologies significantly enhance project performance, particularly in dynamic and uncertain environments. They foster greater collaboration, continuous improvement, and customer satisfaction. However, challenges such as resistance to change, lack of skilled personnel, and difficulties in scaling Agile practices are also identified. The review concludes that while Agile methodologies offer substantial benefits in project management, their successful implementation requires a cultural shift within organizations, adequate training, and a nuanced understanding of when and how to apply these methodologies. Future research directions include exploring the integration of Agile with traditional project management approaches and its impact on organizational performance in various sectors. \u0000Keywords: Agile Methodologies, Project Management, Industry Adaptation, Scalability, Technological Advancements, Global Economic Shifts, Artificial Intelligence (AI).","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"17 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139529657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-15DOI: 10.51594/csitrj.v5i1.716
Joachim Osheyor Gidiagba, Nwabueze Kelvin Nwaobia, Preye Winston Biu, Chinedu Alex Ezeigweneme, Aniekan Akpan Umoh
This study provides a comprehensive review of the evolution and impact of Internet of Things (IoT)-driven predictive maintenance, focusing on advancements in technology, their role in enhancing system longevity, and promoting sustainable operations in mechanical and electrical systems. The primary objective was to assess how IoT integration has transformed traditional maintenance approaches, leading to improved system durability and reliability. Utilizing a systematic literature review methodology, the study involved sourcing data from peer-reviewed journals, conference proceedings, and industry reports. A content analysis approach was employed to analyze the data, focusing on themes such as technological advancements, sustainability considerations, and industry-specific applications of IoT in predictive maintenance. Key findings reveal significant advancements in IoT applications, particularly the integration of advanced data analytics, artificial intelligence, and machine learning in predictive maintenance strategies. These advancements have led to more accurate and timely maintenance interventions, contributing to enhanced system longevity and operational efficiency. The study also highlights the emergence of green IoT practices and the challenges and opportunities in the future landscape of IoT in predictive maintenance. The study concludes that IoT-driven predictive maintenance is pivotal for sustainable industrial operations, with opportunities lying in addressing challenges through innovative solutions and robust regulatory frameworks. Recommendations for industry and policy include fostering sustainable IoT practices and prioritizing energy efficiency. Future research directions involve exploring the integration of IoT with emerging technologies and investigating the long-term environmental impacts of IoT deployments. Keywords: Predictive Maintenance, System Longevity, Sustainable Operations, Internet of Things.
{"title":"REVIEW ON THE EVOLUTION AND IMPACT OF IOT-DRIVEN PREDICTIVE MAINTENANCE: ASSESSING ADVANCEMENTS, THEIR ROLE IN ENHANCING SYSTEM LONGEVITY, AND SUSTAINABLE OPERATIONS IN BOTH MECHANICAL AND ELECTRICAL REALMS","authors":"Joachim Osheyor Gidiagba, Nwabueze Kelvin Nwaobia, Preye Winston Biu, Chinedu Alex Ezeigweneme, Aniekan Akpan Umoh","doi":"10.51594/csitrj.v5i1.716","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.716","url":null,"abstract":"This study provides a comprehensive review of the evolution and impact of Internet of Things (IoT)-driven predictive maintenance, focusing on advancements in technology, their role in enhancing system longevity, and promoting sustainable operations in mechanical and electrical systems. The primary objective was to assess how IoT integration has transformed traditional maintenance approaches, leading to improved system durability and reliability. Utilizing a systematic literature review methodology, the study involved sourcing data from peer-reviewed journals, conference proceedings, and industry reports. A content analysis approach was employed to analyze the data, focusing on themes such as technological advancements, sustainability considerations, and industry-specific applications of IoT in predictive maintenance. Key findings reveal significant advancements in IoT applications, particularly the integration of advanced data analytics, artificial intelligence, and machine learning in predictive maintenance strategies. These advancements have led to more accurate and timely maintenance interventions, contributing to enhanced system longevity and operational efficiency. The study also highlights the emergence of green IoT practices and the challenges and opportunities in the future landscape of IoT in predictive maintenance. The study concludes that IoT-driven predictive maintenance is pivotal for sustainable industrial operations, with opportunities lying in addressing challenges through innovative solutions and robust regulatory frameworks. Recommendations for industry and policy include fostering sustainable IoT practices and prioritizing energy efficiency. Future research directions involve exploring the integration of IoT with emerging technologies and investigating the long-term environmental impacts of IoT deployments. \u0000Keywords: Predictive Maintenance, System Longevity, Sustainable Operations, Internet of Things.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"113 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139530515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-15DOI: 10.51594/csitrj.v5i1.715
Aniekan Akpan Umoh, Chinedu Nnamdi Nwasike, Olawe Alaba Tula, Oladipo Olugbenga Adekoya, Joachim Osheyor Gidiagba
This scholarly paper delves into the dynamic realm of smart green building technologies, focusing on the integration and impact of Artificial Intelligence (AI) and the Internet of Things (IoT) within the sphere of sustainable architecture. The study is anchored in the background of evolving green building principles, underscored by the burgeoning rise of smart technologies that are reshaping modern architectural practices. Aimed at comprehensively understanding the transformative role of AI and IoT in enhancing building performance and sustainability, the paper adopts a ethodological approach centered on an extensive literature review and qualitative analysis. It meticulously examines the synergy between AI and IoT, their implementation challenges, environmental and social impacts, and the economic implications of investing in such technologies.The main findings reveal that the integration of AI and IoT significantly elevates energy efficiency, optimizes building performance, and contributes to environmental sustainability. The study highlights innovative IoT solutions in building management, demonstrating their effectiveness in creating more efficient and sustainable living spaces. However, it also identifies barriers to the adoption of these technologies, including economic constraints and the need for skilled professionals.Conclusively, the paper recommends a multi-faceted approach to overcome these challenges, emphasizing policy interventions, educational initiatives, and the development of cost-effective green building technologies. The study underscores the need for collaborative efforts from various stakeholders to advance sustainable architecture and building management.This paper provides a comprehensive exploration of the integration of AI and IoT in sustainable building designs, offering insights into their potential to revolutionize the construction industry and pave the way for sustainable urban development. Keywords: Smart Green Building Technologies, Artificial Intelligence, Internet of Things, Sustainable Architecture, Energy Efficiency, Building Performance.
{"title":"A REVIEW OF SMART GREEN BUILDING TECHNOLOGIES: INVESTIGATING THE INTEGRATION AND IMPACT OF AI AND IOT IN SUSTAINABLE BUILDING DESIGNS","authors":"Aniekan Akpan Umoh, Chinedu Nnamdi Nwasike, Olawe Alaba Tula, Oladipo Olugbenga Adekoya, Joachim Osheyor Gidiagba","doi":"10.51594/csitrj.v5i1.715","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.715","url":null,"abstract":"This scholarly paper delves into the dynamic realm of smart green building technologies, focusing on the integration and impact of Artificial Intelligence (AI) and the Internet of Things (IoT) within the sphere of sustainable architecture. The study is anchored in the background of evolving green building principles, underscored by the burgeoning rise of smart technologies that are reshaping modern architectural practices. Aimed at comprehensively understanding the transformative role of AI and IoT in enhancing building performance and sustainability, the paper adopts a ethodological approach centered on an extensive literature review and qualitative analysis. It meticulously examines the synergy between AI and IoT, their implementation challenges, environmental and social impacts, and the economic implications of investing in such technologies.The main findings reveal that the integration of AI and IoT significantly elevates energy efficiency, optimizes building performance, and contributes to environmental sustainability. The study highlights innovative IoT solutions in building management, demonstrating their effectiveness in creating more efficient and sustainable living spaces. However, it also identifies barriers to the adoption of these technologies, including economic constraints and the need for skilled professionals.Conclusively, the paper recommends a multi-faceted approach to overcome these challenges, emphasizing policy interventions, educational initiatives, and the development of cost-effective green building technologies. The study underscores the need for collaborative efforts from various stakeholders to advance sustainable architecture and building management.This paper provides a comprehensive exploration of the integration of AI and IoT in sustainable building designs, offering insights into their potential to revolutionize the construction industry and pave the way for sustainable urban development. \u0000Keywords: Smart Green Building Technologies, Artificial Intelligence, Internet of Things, Sustainable Architecture, Energy Efficiency, Building Performance.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139621124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-11DOI: 10.51594/csitrj.v5i1.709
Temitayo Oluwaseun Abrahams, Sarah Kuzankah Ewuga, Simon Kaggwa, Prisca Ugomma Uwaoma, Azeez Olanipekun Hassan, Samuel Onimisi Dawodu
In the rapidly evolving landscape of business and technology, the intersection of accounting and cybersecurity has become a focal point for organizations striving to maintain integrity, security, and regulatory adherence. This paper presents a meticulous examination of regulatory frameworks governing both accounting and cybersecurity domains. The study aims to provide a comprehensive understanding of the intricate compliance landscape, offering valuable insights for practitioners, policymakers, and scholars. The investigation unfolds through a dual lens, meticulously dissecting the regulatory intricacies surrounding financial reporting in accounting and the safeguarding of digital assets in cybersecurity. A critical analysis of prominent global regulatory bodies, such as the Financial Accounting Standards Board (FASB), the International Financial Reporting Standards (IFRS), and cybersecurity standards like ISO 27001 and NIST Cybersecurity Framework, forms the cornerstone of this research. The paper delves into the historical evolution of accounting and cybersecurity regulations, identifying key milestones and paradigm shifts that have shaped the current regulatory environment. It explores the synergies and dissonances between these two critical domains, shedding light on how compliance efforts in one area may impact the other. Furthermore, the study investigates the challenges and opportunities presented by emerging technologies such as blockchain, artificial intelligence, and cloud computing in the context of regulatory compliance. By examining real-world case studies and industry best practices, this thesis provides practical insights for organizations seeking to navigate the complex terrain of compliance in an era of digital transformation. The paper offers a holistic and forward-looking perspective on the regulatory frameworks governing accounting and cybersecurity. Through its comprehensive analysis, the thesis aims to equip professionals and academics with the knowledge and tools necessary to navigate the intricate regulatory landscape, fostering a proactive and adaptive approach to compliance in the dynamic business environment. Keywords: Regulatory Frameworks, Accounting, Cybersecurity, Cloud Computing, Blockchain
在快速发展的商业和技术领域,会计和网络安全的交叉点已成为企业努力保持诚信、安全和遵守法规的焦点。本文对会计和网络安全领域的监管框架进行了细致研究。研究旨在全面了解错综复杂的合规情况,为从业人员、政策制定者和学者提供有价值的见解。研究通过双重视角展开,细致剖析了围绕会计领域财务报告和网络安全领域数字资产保护的错综复杂的监管问题。对《财务会计准则委员会》(FASB)、《国际财务报告准则》(IFRS)等全球著名监管机构以及 ISO 27001 和 NIST 网络安全框架等网络安全标准的批判性分析构成了本研究的基石。本文深入探讨了会计和网络安全法规的历史演变,确定了塑造当前监管环境的关键里程碑和范式转变。它探讨了这两个关键领域之间的协同作用和不协调之处,揭示了一个领域的合规工作可能对另一个领域产生的影响。此外,本研究还探讨了区块链、人工智能和云计算等新兴技术在监管合规方面带来的挑战和机遇。通过研究现实世界中的案例研究和行业最佳实践,本论文为企业在数字化转型时代探索复杂的合规领域提供了实用的见解。论文对会计和网络安全的监管框架提供了一个整体性和前瞻性的视角。通过全面分析,论文旨在为专业人士和学者提供必要的知识和工具,以驾驭错综复杂的监管环境,在动态的商业环境中培养积极主动、适应性强的合规方法。关键词监管框架、会计、网络安全、云计算、区块链
{"title":"MASTERING COMPLIANCE: A COMPREHENSIVE REVIEW OF REGULATORY FRAMEWORKS IN ACCOUNTING AND CYBERSECURITY","authors":"Temitayo Oluwaseun Abrahams, Sarah Kuzankah Ewuga, Simon Kaggwa, Prisca Ugomma Uwaoma, Azeez Olanipekun Hassan, Samuel Onimisi Dawodu","doi":"10.51594/csitrj.v5i1.709","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.709","url":null,"abstract":"In the rapidly evolving landscape of business and technology, the intersection of accounting and cybersecurity has become a focal point for organizations striving to maintain integrity, security, and regulatory adherence. This paper presents a meticulous examination of regulatory frameworks governing both accounting and cybersecurity domains. The study aims to provide a comprehensive understanding of the intricate compliance landscape, offering valuable insights for practitioners, policymakers, and scholars. The investigation unfolds through a dual lens, meticulously dissecting the regulatory intricacies surrounding financial reporting in accounting and the safeguarding of digital assets in cybersecurity. A critical analysis of prominent global regulatory bodies, such as the Financial Accounting Standards Board (FASB), the International Financial Reporting Standards (IFRS), and cybersecurity standards like ISO 27001 and NIST Cybersecurity Framework, forms the cornerstone of this research. The paper delves into the historical evolution of accounting and cybersecurity regulations, identifying key milestones and paradigm shifts that have shaped the current regulatory environment. It explores the synergies and dissonances between these two critical domains, shedding light on how compliance efforts in one area may impact the other. Furthermore, the study investigates the challenges and opportunities presented by emerging technologies such as blockchain, artificial intelligence, and cloud computing in the context of regulatory compliance. By examining real-world case studies and industry best practices, this thesis provides practical insights for organizations seeking to navigate the complex terrain of compliance in an era of digital transformation. The paper offers a holistic and forward-looking perspective on the regulatory frameworks governing accounting and cybersecurity. Through its comprehensive analysis, the thesis aims to equip professionals and academics with the knowledge and tools necessary to navigate the intricate regulatory landscape, fostering a proactive and adaptive approach to compliance in the dynamic business environment. \u0000Keywords: Regulatory Frameworks, Accounting, Cybersecurity, Cloud Computing, Blockchain","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139626232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-11DOI: 10.51594/csitrj.v5i1.708
Temitayo Oluwaseun Abrahams, Oluwatoyin Ajoke Farayola, Simon Kaggwa, Prisca Ugomma Uwaoma, Azeez Olanipekun Hassan, Samuel Onimisi Dawodu
As organizations continue to grapple with the escalating threat landscape of cyber-attacks, the imperative to fortify their cybersecurity defenses becomes increasingly paramount. This review delves into the critical realm of cybersecurity awareness and education programs, focusing on the pivotal factors of employee engagement and accountability. The effectiveness of these programs in cultivating a cyber-resilient workforce is scrutinized through an extensive examination of existing literature, empirical studies, and industry practices. The review begins by exploring the foundational elements of cybersecurity awareness programs, elucidating the significance of imparting knowledge and instilling a culture of vigilance among employees. It examines the diverse methodologies employed in these programs, ranging from interactive workshops and simulated phishing exercises to online modules and gamified learning platforms. A comparative analysis of these approaches sheds light on their respective strengths and limitations. A central theme of this review revolves around the nexus between employee engagement and cybersecurity resilience. It delves into the psychological and behavioral aspects of engagement, assessing how motivational factors and tailored learning experiences contribute to heightened cybersecurity awareness. The impact of organizational culture and leadership support on fostering a sense of responsibility among employees is also explored, emphasizing the need for a holistic approach that transcends mere compliance. Furthermore, the review investigates the role of accountability in sustaining the efficacy of cybersecurity initiatives. It examines the mechanisms employed by organizations to enforce adherence to security policies and protocols, emphasizing the role of robust monitoring systems, clear communication channels, and consequence management. Case studies and real-world examples are integrated to illustrate instances of successful accountability frameworks and their influence on overall cybersecurity posture. This review synthesizes key findings and identifies emerging trends in cybersecurity awareness and education programs, with a particular focus on optimizing employee engagement and fostering a culture of accountability. The insights gleaned from this analysis provide a roadmap for organizations seeking to fortify their defenses against evolving cyber threats by cultivating a vigilant and proactive workforce. Keywords: Cybersecurity, Education, Cyber threat, Employee engagement, Accountability.
{"title":"CYBERSECURITY AWARENESS AND EDUCATION PROGRAMS: A REVIEW OF EMPLOYEE ENGAGEMENT AND ACCOUNTABILITY","authors":"Temitayo Oluwaseun Abrahams, Oluwatoyin Ajoke Farayola, Simon Kaggwa, Prisca Ugomma Uwaoma, Azeez Olanipekun Hassan, Samuel Onimisi Dawodu","doi":"10.51594/csitrj.v5i1.708","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.708","url":null,"abstract":"As organizations continue to grapple with the escalating threat landscape of cyber-attacks, the imperative to fortify their cybersecurity defenses becomes increasingly paramount. This review delves into the critical realm of cybersecurity awareness and education programs, focusing on the pivotal factors of employee engagement and accountability. The effectiveness of these programs in cultivating a cyber-resilient workforce is scrutinized through an extensive examination of existing literature, empirical studies, and industry practices. The review begins by exploring the foundational elements of cybersecurity awareness programs, elucidating the significance of imparting knowledge and instilling a culture of vigilance among employees. It examines the diverse methodologies employed in these programs, ranging from interactive workshops and simulated phishing exercises to online modules and gamified learning platforms. A comparative analysis of these approaches sheds light on their respective strengths and limitations. A central theme of this review revolves around the nexus between employee engagement and cybersecurity resilience. It delves into the psychological and behavioral aspects of engagement, assessing how motivational factors and tailored learning experiences contribute to heightened cybersecurity awareness. The impact of organizational culture and leadership support on fostering a sense of responsibility among employees is also explored, emphasizing the need for a holistic approach that transcends mere compliance. Furthermore, the review investigates the role of accountability in sustaining the efficacy of cybersecurity initiatives. It examines the mechanisms employed by organizations to enforce adherence to security policies and protocols, emphasizing the role of robust monitoring systems, clear communication channels, and consequence management. Case studies and real-world examples are integrated to illustrate instances of successful accountability frameworks and their influence on overall cybersecurity posture. This review synthesizes key findings and identifies emerging trends in cybersecurity awareness and education programs, with a particular focus on optimizing employee engagement and fostering a culture of accountability. The insights gleaned from this analysis provide a roadmap for organizations seeking to fortify their defenses against evolving cyber threats by cultivating a vigilant and proactive workforce. \u0000Keywords: Cybersecurity, Education, Cyber threat, Employee engagement, Accountability.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 13","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139626314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This literature review delves into the intersection of business analytics and its potential to address economic inequalities. In an era where data-driven decision-making is becoming ubiquitous, this study explores how organizations leverage business analytics to analyze, understand, and mitigate economic disparities. The review encompasses a diverse range of scholarly articles, research papers, and case studies, providing insights into the strategies, methodologies, and impact of utilizing business analytics to tackle economic inequalities. It transitions into an exploration of the role that business analytics plays in this context, emphasizing the power of data-driven insights to inform and influence decision-makers in various sectors. Examining how predictive modeling techniques within business analytics contribute to identifying patterns and trends that inform strategic decision-making aimed at reducing economic inequalities. Investigating how business analytics is applied to formulate and assess the effectiveness of policies designed to address economic disparities, with a focus on evidence-based decision-making. Analyzing case studies that showcase how businesses leverage analytics to adopt more inclusive practices in areas such as hiring, promotions, and supply chain management, contributing to the reduction of economic inequalities. Examining the ethical dimensions of employing business analytics in the pursuit of reducing economic inequalities, including issues related to privacy, consent, and bias mitigation. The literature review concludes with a synthesis of findings, identifying gaps in current research and proposing avenues for future exploration. By synthesizing diverse perspectives, methodologies, and empirical evidence, this literature review contributes to a comprehensive understanding of how business analytics can serve as a powerful tool in the collective effort to tackle economic inequalities on a global scale. Keywords: Business Analytics, Inequalities, Bias Mitigation, Technological Advancement, Review.
{"title":"TACKLING ECONOMIC INEQUALITIES THROUGH BUSINESS ANALYTICS: A LITERATURE REVIEW","authors":"Ejuma Martha Adaga, Zainab Efe Egieya, Sarah Kuzankah Ewuga, Adekunle Abiola Abdul, Temitayo Oluwaseun Abrahams","doi":"10.51594/csitrj.v5i1.702","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.702","url":null,"abstract":"This literature review delves into the intersection of business analytics and its potential to address economic inequalities. In an era where data-driven decision-making is becoming ubiquitous, this study explores how organizations leverage business analytics to analyze, understand, and mitigate economic disparities. The review encompasses a diverse range of scholarly articles, research papers, and case studies, providing insights into the strategies, methodologies, and impact of utilizing business analytics to tackle economic inequalities. It transitions into an exploration of the role that business analytics plays in this context, emphasizing the power of data-driven insights to inform and influence decision-makers in various sectors. Examining how predictive modeling techniques within business analytics contribute to identifying patterns and trends that inform strategic decision-making aimed at reducing economic inequalities. Investigating how business analytics is applied to formulate and assess the effectiveness of policies designed to address economic disparities, with a focus on evidence-based decision-making. Analyzing case studies that showcase how businesses leverage analytics to adopt more inclusive practices in areas such as hiring, promotions, and supply chain management, contributing to the reduction of economic inequalities. Examining the ethical dimensions of employing business analytics in the pursuit of reducing economic inequalities, including issues related to privacy, consent, and bias mitigation. The literature review concludes with a synthesis of findings, identifying gaps in current research and proposing avenues for future exploration. By synthesizing diverse perspectives, methodologies, and empirical evidence, this literature review contributes to a comprehensive understanding of how business analytics can serve as a powerful tool in the collective effort to tackle economic inequalities on a global scale. \u0000Keywords: Business Analytics, Inequalities, Bias Mitigation, Technological Advancement, Review.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a comprehensive comparative analysis of telecommunication regulation and policy frameworks in the United States (USA) and various African countries. Telecommunications play a pivotal role in socio-economic development, and the regulatory environment significantly influences the sector's performance. The study explores the historical evolution, regulatory bodies, and frameworks in both regions, aiming to identify commonalities, disparities, and the impact of regulatory approaches on market dynamics. The review begins by delineating the theoretical foundations of telecommunications regulation, emphasizing concepts such as market liberalization, competition, and regulatory governance. A historical overview traces the development of regulatory frameworks in the USA and Africa, shedding light on the contextual factors that shaped each region's approach. In examining telecommunications regulation in the USA, the paper delves into the roles and responsibilities of key regulatory bodies, notably the Federal Communications Commission (FCC). The regulatory framework is scrutinized, with a focus on market liberalization, spectrum management, and licensing policies. Achievements and challenges within the US regulatory landscape are critically evaluated. Turning to Africa, the study explores the diverse regulatory approaches adopted by selected countries and the influence of regional organizations on policy formulation. Common challenges faced by African regulators, as well as unique contextual factors shaping the regulatory landscape, are discussed. The heart of the analysis lies in the comparative assessment of regulatory objectives and policy instruments between the USA and Africa. The study evaluates the alignment of these objectives with the socio-economic context of each region and assesses the effectiveness of policy instruments in achieving regulatory goals. Examining the impact on the telecommunications sector, the paper contrasts market structures, competition levels, and the role of regulation in fostering technological development. The analysis extends to the implications of regulatory frameworks on the deployment of emerging technologies, such as 5G. The paper summarizes key findings, highlighting patterns, trends, and lessons learned from the comparative analysis. The implications of these findings for future research are discussed, emphasizing the potential for international collaboration and the identification of areas where improvements in regulatory frameworks can contribute to the sustainable development of the telecommunications sector in both the USA and Africa. Keywords: Telecommunications Regulation, Telecommunications Policy, Comparative Analysis, USA, Africa, Digital Inclusion.
{"title":"REVIEW OF TELECOMMUNICATION REGULATION AND POLICY: COMPARATIVE ANALYSIS USA AND AFRICA","authors":"Chinedu Alex Ezeigweneme, Aniekan Akpan Umoh, Valentine Ikenna Ilojianya, Abimbola Oluwatoyin Adegbite","doi":"10.51594/csitrj.v5i1.703","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.703","url":null,"abstract":"This paper presents a comprehensive comparative analysis of telecommunication regulation and policy frameworks in the United States (USA) and various African countries. Telecommunications play a pivotal role in socio-economic development, and the regulatory environment significantly influences the sector's performance. The study explores the historical evolution, regulatory bodies, and frameworks in both regions, aiming to identify commonalities, disparities, and the impact of regulatory approaches on market dynamics. The review begins by delineating the theoretical foundations of telecommunications regulation, emphasizing concepts such as market liberalization, competition, and regulatory governance. A historical overview traces the development of regulatory frameworks in the USA and Africa, shedding light on the contextual factors that shaped each region's approach. In examining telecommunications regulation in the USA, the paper delves into the roles and responsibilities of key regulatory bodies, notably the Federal Communications Commission (FCC). The regulatory framework is scrutinized, with a focus on market liberalization, spectrum management, and licensing policies. Achievements and challenges within the US regulatory landscape are critically evaluated. Turning to Africa, the study explores the diverse regulatory approaches adopted by selected countries and the influence of regional organizations on policy formulation. Common challenges faced by African regulators, as well as unique contextual factors shaping the regulatory landscape, are discussed. The heart of the analysis lies in the comparative assessment of regulatory objectives and policy instruments between the USA and Africa. The study evaluates the alignment of these objectives with the socio-economic context of each region and assesses the effectiveness of policy instruments in achieving regulatory goals. Examining the impact on the telecommunications sector, the paper contrasts market structures, competition levels, and the role of regulation in fostering technological development. The analysis extends to the implications of regulatory frameworks on the deployment of emerging technologies, such as 5G. The paper summarizes key findings, highlighting patterns, trends, and lessons learned from the comparative analysis. The implications of these findings for future research are discussed, emphasizing the potential for international collaboration and the identification of areas where improvements in regulatory frameworks can contribute to the sustainable development of the telecommunications sector in both the USA and Africa. \u0000Keywords: Telecommunications Regulation, Telecommunications Policy, Comparative Analysis, USA, Africa, Digital Inclusion.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-09DOI: 10.51594/csitrj.v5i1.701
Azeez Olanipekun Hassan, Sarah Kuzankah Ewuga, Adekunle Abiola Abdul, Temitayo Oluwaseun Abrahams, Monisola Oladeinde, Samuel Onimisi Dawodu
The paper review cybersecurity practices in banking, with a specific focus on Nigerian banks. Cybersecurity has become a paramount concern in the banking industry worldwide, given the escalating frequency and sophistication of cyber threats. This study provides an overview of the global landscape of cybersecurity in banking, with a specific focus on practices observed in Nigeria. The global banking sector is witnessing a surge in digital transformation, marked by the adoption of advanced technologies and online financial services. However, this digitization brings with it unprecedented cybersecurity challenges, ranging from data breaches and ransomware attacks to sophisticated financial fraud. Financial institutions globally are compelled to fortify their cybersecurity frameworks to protect sensitive customer information, ensure the integrity of financial transactions, and maintain trust in the digital financial ecosystem. Nigeria, as a key player in the African banking landscape, faces unique cybersecurity challenges and has developed distinct strategies to safeguard its financial institutions. This study explores the cybersecurity practices employed by Nigerian banks, considering regulatory frameworks, incident response mechanisms, and collaborative efforts with international cybersecurity entities. The analysis encompasses case studies illustrating real-world cyber threats and incidents in both global and Nigerian banking contexts. It investigates the effectiveness of cybersecurity measures implemented by Nigerian banks, shedding light on the nation's response to evolving cyber risks. Furthermore, the study delves into collaborative initiatives between Nigerian banks, regulatory bodies, and international cybersecurity organizations to enhance information sharing, threat intelligence, and collective defense mechanisms. It also explores the role of public awareness campaigns in fostering a cyber-resilient banking environment. The insights provided aim to contribute to the collective understanding of cybersecurity challenges in the global banking sector while offering a nuanced perspective on Nigerian practices. As digital financial ecosystems continue to evolve, the findings underscore the importance of ongoing adaptation, collaboration, and innovation in safeguarding the integrity and trustworthiness of banking systems, both on a global scale and within the Nigerian context. Keywords: Cybersecurity, Banking, Global Perspective, Nigerian, Cybersecurity, Artificial Intelligence.
{"title":"CYBERSECURITY IN BANKING: A GLOBAL PERSPECTIVE WITH A FOCUS ON NIGERIAN PRACTICES","authors":"Azeez Olanipekun Hassan, Sarah Kuzankah Ewuga, Adekunle Abiola Abdul, Temitayo Oluwaseun Abrahams, Monisola Oladeinde, Samuel Onimisi Dawodu","doi":"10.51594/csitrj.v5i1.701","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.701","url":null,"abstract":"The paper review cybersecurity practices in banking, with a specific focus on Nigerian banks. Cybersecurity has become a paramount concern in the banking industry worldwide, given the escalating frequency and sophistication of cyber threats. This study provides an overview of the global landscape of cybersecurity in banking, with a specific focus on practices observed in Nigeria. The global banking sector is witnessing a surge in digital transformation, marked by the adoption of advanced technologies and online financial services. However, this digitization brings with it unprecedented cybersecurity challenges, ranging from data breaches and ransomware attacks to sophisticated financial fraud. Financial institutions globally are compelled to fortify their cybersecurity frameworks to protect sensitive customer information, ensure the integrity of financial transactions, and maintain trust in the digital financial ecosystem. Nigeria, as a key player in the African banking landscape, faces unique cybersecurity challenges and has developed distinct strategies to safeguard its financial institutions. This study explores the cybersecurity practices employed by Nigerian banks, considering regulatory frameworks, incident response mechanisms, and collaborative efforts with international cybersecurity entities. The analysis encompasses case studies illustrating real-world cyber threats and incidents in both global and Nigerian banking contexts. It investigates the effectiveness of cybersecurity measures implemented by Nigerian banks, shedding light on the nation's response to evolving cyber risks. Furthermore, the study delves into collaborative initiatives between Nigerian banks, regulatory bodies, and international cybersecurity organizations to enhance information sharing, threat intelligence, and collective defense mechanisms. It also explores the role of public awareness campaigns in fostering a cyber-resilient banking environment. The insights provided aim to contribute to the collective understanding of cybersecurity challenges in the global banking sector while offering a nuanced perspective on Nigerian practices. As digital financial ecosystems continue to evolve, the findings underscore the importance of ongoing adaptation, collaboration, and innovation in safeguarding the integrity and trustworthiness of banking systems, both on a global scale and within the Nigerian context. \u0000Keywords: Cybersecurity, Banking, Global Perspective, Nigerian, Cybersecurity, Artificial Intelligence.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":" 30","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-09DOI: 10.51594/csitrj.v5i1.699
Temitayo Oluwaseun Abrahams, Sarah Kuzankah Ewuga, Samuel Onimisi Dawodu, Abimbola Oluwatoyin Adegbite, Azeez Olanipekun Hassan
In an era where digital threats are increasingly pervasive, understanding the evolution and efficacy of cybersecurity strategies in modern organizations is paramount. This study provides a comprehensive analysis of the dynamic landscape of cybersecurity, exploring its progression from traditional methods to innovative, technology-driven approaches. The digital age has ushered in complex cyber threats, necessitating robust cybersecurity measures. This study examines cybersecurity strategies' historical development, current trends, and future directions across different organizational contexts and industries. The primary aim is to assess the evolution and effectiveness of cybersecurity measures, identify existing gaps, and understand the interplay between human behavior, technology, and policy in cybersecurity. The paper encompasses a comprehensive methodological framework for cybersecurity analysis, exploring the effectiveness of traditional versus modern approaches, the role of AI and ML, and the impact of international policies. It also presents case studies to illustrate successes and failures in cybersecurity implementation. Key findings reveal a significant shift towards advanced technologies like AI and ML in cybersecurity, the critical role of human factors in shaping cybersecurity outcomes, and the influence of international policies in standardizing cybersecurity practices. The study concludes that effective cybersecurity strategies require a balanced approach, combining technological advancements with understanding human factors and adherence to international standards. Recommendations include continuous education and training, adopting holistic cybersecurity strategies, and aligning with international policies. Keywords: Cybersecurity, Artificial Intelligence, Machine Learning, International Policies, Human Factors, Cyber Threats.
在数字威胁日益普遍的时代,了解现代组织中网络安全战略的演变和功效至关重要。本研究全面分析了网络安全的动态状况,探讨了网络安全从传统方法到创新技术驱动方法的发展过程。数字时代带来了复杂的网络威胁,因此必须采取强有力的网络安全措施。本研究探讨了网络安全战略在不同组织背景和行业中的历史发展、当前趋势和未来方向。主要目的是评估网络安全措施的演变和有效性,找出现有差距,了解网络安全中人类行为、技术和政策之间的相互作用。论文包含一个全面的网络安全分析方法框架,探讨了传统方法与现代方法的有效性、人工智能和 ML 的作用以及国际政策的影响。报告还介绍了案例研究,以说明网络安全实施过程中的成功与失败。主要研究结果表明,网络安全正在向人工智能和 ML 等先进技术转变,人为因素在影响网络安全结果方面发挥着关键作用,国际政策在规范网络安全实践方面也产生了影响。研究得出结论,有效的网络安全战略需要一种平衡的方法,将技术进步与了解人为因素和遵守国际标准结合起来。建议包括持续教育和培训、采用全面的网络安全战略以及与国际政策保持一致。关键词网络安全 人工智能 机器学习 国际政策 人为因素 网络威胁
{"title":"A REVIEW OF CYBERSECURITY STRATEGIES IN MODERN ORGANIZATIONS: EXAMINING THE EVOLUTION AND EFFECTIVENESS OF CYBERSECURITY MEASURES FOR DATA PROTECTION","authors":"Temitayo Oluwaseun Abrahams, Sarah Kuzankah Ewuga, Samuel Onimisi Dawodu, Abimbola Oluwatoyin Adegbite, Azeez Olanipekun Hassan","doi":"10.51594/csitrj.v5i1.699","DOIUrl":"https://doi.org/10.51594/csitrj.v5i1.699","url":null,"abstract":"In an era where digital threats are increasingly pervasive, understanding the evolution and efficacy of cybersecurity strategies in modern organizations is paramount. This study provides a comprehensive analysis of the dynamic landscape of cybersecurity, exploring its progression from traditional methods to innovative, technology-driven approaches. The digital age has ushered in complex cyber threats, necessitating robust cybersecurity measures. This study examines cybersecurity strategies' historical development, current trends, and future directions across different organizational contexts and industries. The primary aim is to assess the evolution and effectiveness of cybersecurity measures, identify existing gaps, and understand the interplay between human behavior, technology, and policy in cybersecurity. The paper encompasses a comprehensive methodological framework for cybersecurity analysis, exploring the effectiveness of traditional versus modern approaches, the role of AI and ML, and the impact of international policies. It also presents case studies to illustrate successes and failures in cybersecurity implementation. Key findings reveal a significant shift towards advanced technologies like AI and ML in cybersecurity, the critical role of human factors in shaping cybersecurity outcomes, and the influence of international policies in standardizing cybersecurity practices. The study concludes that effective cybersecurity strategies require a balanced approach, combining technological advancements with understanding human factors and adherence to international standards. Recommendations include continuous education and training, adopting holistic cybersecurity strategies, and aligning with international policies. \u0000Keywords: Cybersecurity, Artificial Intelligence, Machine Learning, International Policies, Human Factors, Cyber Threats.","PeriodicalId":282796,"journal":{"name":"Computer Science & IT Research Journal","volume":"36 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139535084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}