This study systematically reviews the feasibility of implementing underground power infrastructure to enhance the reliability of Dhaka's electrical grid. Given the city's frequent power outages due to adverse weather and aging overhead power lines, this review synthesizes findings from peer-reviewed journal articles, technical reports, conference papers, and case studies published between 2010 and 2023. The review highlights the significant benefits of underground systems, including improved grid reliability and resilience, reduced outages, and enhanced urban aesthetics and safety. However, it also identifies substantial economic and technical challenges, such as high initial installation costs and complex maintenance requirements. Recent technological advancements, such as improved cable materials and installation techniques, have made underground power lines more feasible and cost-effective. Case studies from cities like Amsterdam, London, New York, and Toronto provide valuable insights into successful implementation strategies, emphasizing the importance of integrated urban planning and stakeholder collaboration. These findings offer a robust foundation for policymakers, utility companies, and urban planners to consider transitioning Dhaka's power infrastructure to an underground system, aiming to mitigate the impacts of severe weather and enhance overall grid reliability.
{"title":"A FEASIBILITY STUDY ON UNDERGROUND INFRASTRUCTURE IMPLEMENTATION TO ENHANCE DHAKA’S ELECTRICAL GRID RELIABILITY","authors":"","doi":"10.62304/ijse.v1i04.190","DOIUrl":"https://doi.org/10.62304/ijse.v1i04.190","url":null,"abstract":"This study systematically reviews the feasibility of implementing underground power infrastructure to enhance the reliability of Dhaka's electrical grid. Given the city's frequent power outages due to adverse weather and aging overhead power lines, this review synthesizes findings from peer-reviewed journal articles, technical reports, conference papers, and case studies published between 2010 and 2023. The review highlights the significant benefits of underground systems, including improved grid reliability and resilience, reduced outages, and enhanced urban aesthetics and safety. However, it also identifies substantial economic and technical challenges, such as high initial installation costs and complex maintenance requirements. Recent technological advancements, such as improved cable materials and installation techniques, have made underground power lines more feasible and cost-effective. Case studies from cities like Amsterdam, London, New York, and Toronto provide valuable insights into successful implementation strategies, emphasizing the importance of integrated urban planning and stakeholder collaboration. These findings offer a robust foundation for policymakers, utility companies, and urban planners to consider transitioning Dhaka's power infrastructure to an underground system, aiming to mitigate the impacts of severe weather and enhance overall grid reliability.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141920232","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}
The rapid advancement of technology and the increasing complexity of global supply chains have heightened the need for robust intellectual property (IP) risk management strategies. This study explores the application of artificial intelligence (AI) and big data analytics in enhancing IP risk management within supply chains. A comprehensive literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, identifying 578 records through database searches and an additional 90 records through other sources. After removing duplicates, 568 records were screened, with 196 full-text articles assessed for eligibility. Ultimately, 135 articles were included in the final synthesis. The findings reveal that AI-driven predictive analytics significantly enhance the detection and mitigation of IP risks by analyzing large volumes of data from various sources, such as patent filings, market trends, and social media. Big data analytics tools like Hadoop and Spark facilitate real-time monitoring and early identification of potential IP threats, providing a comprehensive view of the supply chain landscape. Several successful case studies across different industries, including pharmaceuticals, electronics, and fashion, demonstrate the practical applications of these technologies in addressing IP risks. However, the review also highlights several challenges, including data quality, scalability, model interpretability, data privacy, and integration with legacy systems. Despite these challenges, the benefits of AI and big data analytics in IP risk management are substantial, enabling organizations to protect their intellectual assets more effectively. The study underscores the need for future research to address these challenges and explore innovative solutions to maximize the potential of AI and big data analytics in IP risk management. By investing in the necessary infrastructure and expertise, organizations can enhance their resilience and maintain a competitive edge in the global market.
{"title":"AI-POWERED PREDICTIVE ANALYTICS FOR INTELLECTUAL PROPERTY RISK MANAGEMENT IN SUPPLY CHAIN OPERATIONS: A BIG DATA APPROACH","authors":"Md Abdur Rauf, Md Majadul Islam Jim, Md Mahfuzur Rahman, Md Tariquzzaman","doi":"10.62304/ijse.v1i04.184","DOIUrl":"https://doi.org/10.62304/ijse.v1i04.184","url":null,"abstract":"The rapid advancement of technology and the increasing complexity of global supply chains have heightened the need for robust intellectual property (IP) risk management strategies. This study explores the application of artificial intelligence (AI) and big data analytics in enhancing IP risk management within supply chains. A comprehensive literature review was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology, identifying 578 records through database searches and an additional 90 records through other sources. After removing duplicates, 568 records were screened, with 196 full-text articles assessed for eligibility. Ultimately, 135 articles were included in the final synthesis. The findings reveal that AI-driven predictive analytics significantly enhance the detection and mitigation of IP risks by analyzing large volumes of data from various sources, such as patent filings, market trends, and social media. Big data analytics tools like Hadoop and Spark facilitate real-time monitoring and early identification of potential IP threats, providing a comprehensive view of the supply chain landscape. Several successful case studies across different industries, including pharmaceuticals, electronics, and fashion, demonstrate the practical applications of these technologies in addressing IP risks. However, the review also highlights several challenges, including data quality, scalability, model interpretability, data privacy, and integration with legacy systems. Despite these challenges, the benefits of AI and big data analytics in IP risk management are substantial, enabling organizations to protect their intellectual assets more effectively. The study underscores the need for future research to address these challenges and explore innovative solutions to maximize the potential of AI and big data analytics in IP risk management. By investing in the necessary infrastructure and expertise, organizations can enhance their resilience and maintain a competitive edge in the global market.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"10 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141640811","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 : 2024-07-16DOI: 10.62304/jbedpm.v3i05.183
Irfanul Kabir, Md. Mokshud Ali
This article precisely identifies housebuilding finance in the United States as a complex procedure of primary concern to those who wish to become homeowners or builders, susceptible to the state of the economy and shifts in policies. Therefore, the purpose of this research will be to provide extensive coverage of the processes involved in budgeting right through to obtaining and directing funds. This study adopts a qualitative research method to ascertain budgeting techniques, sources of finance, means of obtaining loans, financial controls during construction through literature, industry, and documents. Discussions also focus on the governmental initiatives and economic environment stressing the need for money comprehension. Issues such as budgeting down to the last detail, variety of financial sources and methods of financial management are highlighted as important aspects. Some recommendation areas are improvement of budgeting, increasing the financing options’ awareness, and the optimization of the existing times of lending to boost housebuilding finance in the USA.
{"title":"Housebuilding Finance in the United States: From Budgeting to Funding","authors":"Irfanul Kabir, Md. Mokshud Ali","doi":"10.62304/jbedpm.v3i05.183","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i05.183","url":null,"abstract":"This article precisely identifies housebuilding finance in the United States as a complex procedure of primary concern to those who wish to become homeowners or builders, susceptible to the state of the economy and shifts in policies. Therefore, the purpose of this research will be to provide extensive coverage of the processes involved in budgeting right through to obtaining and directing funds. This study adopts a qualitative research method to ascertain budgeting techniques, sources of finance, means of obtaining loans, financial controls during construction through literature, industry, and documents. Discussions also focus on the governmental initiatives and economic environment stressing the need for money comprehension. Issues such as budgeting down to the last detail, variety of financial sources and methods of financial management are highlighted as important aspects. Some recommendation areas are improvement of budgeting, increasing the financing options’ awareness, and the optimization of the existing times of lending to boost housebuilding finance in the USA.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"80 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141642945","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 study investigates the implementation of lean manufacturing in the textile industry, focusing on its potential to enhance efficiency, reduce waste, and improve product quality. Lean manufacturing principles, including Just-In-Time (JIT) production, Kanban systems, value stream mapping, 5S workplace organization, and continuous improvement (Kaizen), have been widely recognized for their effectiveness in various manufacturing sectors. However, their application in the textile industry remains underexplored. Through a systematic literature review of 60 review papers and empirical analysis involving case studies, interviews, and surveys with industry experts, managers, and workers, this research identifies the significant benefits of lean practices in textile manufacturing. The findings reveal substantial efficiency gains, waste reduction, and quality improvements among companies adopting lean principles. Nevertheless, the study also highlights several industry-specific challenges, such as high variability in raw materials, complex production processes, and market pressures from fast fashion. These challenges necessitate tailored approaches and effective change management strategies for successful lean integration. Additionally, the research emphasizes the need for investment in advanced technologies and flexible manufacturing systems to enhance responsiveness to market changes. The study concludes that despite the challenges, lean manufacturing offers valuable strategies for textile companies aiming to improve their competitiveness and sustainability in the global market. This research contributes to the growing body of knowledge on lean manufacturing and provides practical insights for textile manufacturers seeking to adopt and optimize lean practices.
{"title":"A FRAMEWORK FOR LEAN MANUFACTURING IMPLEMENTATION IN THE TEXTILE INDUSTRY: A RESEARCH STUDY","authors":"Shirin Begum, Md Abubakar Siddique Akash, Md Sanjid Khan, Minhazur Rahman Bhuiyan","doi":"10.62304/ijse.v1i04.181","DOIUrl":"https://doi.org/10.62304/ijse.v1i04.181","url":null,"abstract":"This study investigates the implementation of lean manufacturing in the textile industry, focusing on its potential to enhance efficiency, reduce waste, and improve product quality. Lean manufacturing principles, including Just-In-Time (JIT) production, Kanban systems, value stream mapping, 5S workplace organization, and continuous improvement (Kaizen), have been widely recognized for their effectiveness in various manufacturing sectors. However, their application in the textile industry remains underexplored. Through a systematic literature review of 60 review papers and empirical analysis involving case studies, interviews, and surveys with industry experts, managers, and workers, this research identifies the significant benefits of lean practices in textile manufacturing. The findings reveal substantial efficiency gains, waste reduction, and quality improvements among companies adopting lean principles. Nevertheless, the study also highlights several industry-specific challenges, such as high variability in raw materials, complex production processes, and market pressures from fast fashion. These challenges necessitate tailored approaches and effective change management strategies for successful lean integration. Additionally, the research emphasizes the need for investment in advanced technologies and flexible manufacturing systems to enhance responsiveness to market changes. The study concludes that despite the challenges, lean manufacturing offers valuable strategies for textile companies aiming to improve their competitiveness and sustainability in the global market. This research contributes to the growing body of knowledge on lean manufacturing and provides practical insights for textile manufacturers seeking to adopt and optimize lean practices.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"41 14","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141645140","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 : 2024-07-10DOI: 10.62304/jbedpm.v3i05.180
Mosa Sankaram, Ms Roopesh, Sasank Rasetti, Nourin Nishat
This literature review explores the transformative impact of artificial intelligence (AI) on enhancing cybersecurity measures across various domains. The study systematically examines the integration of AI in Intrusion Detection Systems (IDS), malware detection, phishing detection, threat intelligence, network security, and endpoint protection. Key findings reveal that AI-driven techniques significantly outperform traditional methods, particularly in real-time threat detection, accuracy, and adaptive response capabilities. Network-based IDS benefit from supervised and unsupervised learning algorithms, improving the identification of malicious network traffic and novel attack patterns. In malware detection, AI-enhanced static and dynamic analysis methods surpass signature-based approaches by detecting previously unknown malware and complex behaviors. Phishing detection has seen substantial improvements with AI applications in email filtering and URL analysis, reducing phishing incidents despite challenges like false positives. AI's role in threat intelligence is critical, automating data analysis to uncover hidden threats and employing predictive analytics to anticipate and mitigate cyber attacks. AI techniques in network security and endpoint protection enhance real-time monitoring and authentication processes, providing robust defenses against cyber intrusions. Despite these advancements, challenges such as handling high data volumes and the need for continuous learning to adapt to emerging threats remain. This review underscores the significant advancements, practical implementations, and ongoing challenges of leveraging AI in cybersecurity, highlighting its potential to fortify digital defenses and address the complexities of contemporary cyber threats.
{"title":"A COMPREHENSIVE REVIEW OF ARTIFICIAL INTELLIGENCE APPLICATIONS IN ENHANCING CYBERSECURITY THREAT DETECTION AND RESPONSE MECHANISMS","authors":"Mosa Sankaram, Ms Roopesh, Sasank Rasetti, Nourin Nishat","doi":"10.62304/jbedpm.v3i05.180","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i05.180","url":null,"abstract":"This literature review explores the transformative impact of artificial intelligence (AI) on enhancing cybersecurity measures across various domains. The study systematically examines the integration of AI in Intrusion Detection Systems (IDS), malware detection, phishing detection, threat intelligence, network security, and endpoint protection. Key findings reveal that AI-driven techniques significantly outperform traditional methods, particularly in real-time threat detection, accuracy, and adaptive response capabilities. Network-based IDS benefit from supervised and unsupervised learning algorithms, improving the identification of malicious network traffic and novel attack patterns. In malware detection, AI-enhanced static and dynamic analysis methods surpass signature-based approaches by detecting previously unknown malware and complex behaviors. Phishing detection has seen substantial improvements with AI applications in email filtering and URL analysis, reducing phishing incidents despite challenges like false positives. AI's role in threat intelligence is critical, automating data analysis to uncover hidden threats and employing predictive analytics to anticipate and mitigate cyber attacks. AI techniques in network security and endpoint protection enhance real-time monitoring and authentication processes, providing robust defenses against cyber intrusions. Despite these advancements, challenges such as handling high data volumes and the need for continuous learning to adapt to emerging threats remain. This review underscores the significant advancements, practical implementations, and ongoing challenges of leveraging AI in cybersecurity, highlighting its potential to fortify digital defenses and address the complexities of contemporary cyber threats.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":"36 48","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141659349","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}
Migration is not a new phenomenon in human history. Human migration occurs through ages due to socio-economic and political issues. People travel or migrate from one country to another for a better life and livelihood. The immigrants have to undergo a myriad experiences and face manifold issues socially, politically and psychologically. Amitabh Ghosh’s novel Gun Island deals with the contemporary environmental issues, border crossings, and human migration along with the story of investigation of folk myths of Bonduki Sadagar (Gun Merchant). Ghosh also focuses on large scale human migration in search of livelihood. This paper highlights the drawbacks or the negative impacts of wrong usage of technology through which people get enticed with the fascination of foreign countries in the contemporary world of globalisation. Amitabh Ghosh in his novel attempts to focus on the experience of immigrants and human values of migrants due to environmental and technological development.
{"title":"Human Migration is widely Viewed as Dramatic Consequence of Climate Change: A Case Study of Amitabh Ghosh’s Gun Island","authors":"Alia Rawshan Banu","doi":"10.62304/alhe.v3i05.179","DOIUrl":"https://doi.org/10.62304/alhe.v3i05.179","url":null,"abstract":"Migration is not a new phenomenon in human history. Human migration occurs through ages due to socio-economic and political issues. People travel or migrate from one country to another for a better life and livelihood. The immigrants have to undergo a myriad experiences and face manifold issues socially, politically and psychologically. Amitabh Ghosh’s novel Gun Island deals with the contemporary environmental issues, border crossings, and human migration along with the story of investigation of folk myths of Bonduki Sadagar (Gun Merchant). Ghosh also focuses on large scale human migration in search of livelihood. This paper highlights the drawbacks or the negative impacts of wrong usage of technology through which people get enticed with the fascination of foreign countries in the contemporary world of globalisation. Amitabh Ghosh in his novel attempts to focus on the experience of immigrants and human values of migrants due to environmental and technological development.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":" 47","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141670688","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}
The integration of Business Information Systems (BIS) into public health nutrition programs offers significant potential to enhance efficiency, data management, and decision-making processes. This study explores the multifaceted challenges and opportunities associated with BIS integration, employing a qualitative approach to gather in-depth insights from key stakeholders, including program managers, policymakers, healthcare professionals, IT specialists, and beneficiaries. Technical challenges, such as system interoperability and data privacy concerns, emerged as major barriers, necessitating the development of standardized protocols and robust security measures. Organizational resistance to change and the need for extensive training and capacity-building were also identified as significant obstacles. Socio-cultural challenges, including variability in technological literacy and trust in digital systems, further complicate the integration process. Despite these challenges, the study highlights substantial benefits of BIS integration, including improved data management and analytics, enhanced program efficiency, and better resource allocation. These advantages facilitate more informed decision-making, timely interventions, and optimized resource use, ultimately improving the effectiveness of public health nutrition programs. The findings provide valuable insights for policymakers, healthcare professionals, and IT specialists, offering guidance for enhancing BIS adoption and utilization to achieve better health outcomes. Future research should continue to explore these challenges and opportunities in diverse settings to build a comprehensive body of knowledge on BIS integration in public health contexts.
将商业信息系统(BIS)整合到公共卫生营养项目中,为提高效率、加强数据管理和决策过程提供了巨大的潜力。本研究探讨了与 BIS 整合相关的多方面挑战和机遇,采用定性方法从主要利益相关者(包括项目管理人员、政策制定者、医疗保健专业人员、IT 专家和受益者)那里收集了深入的见解。技术方面的挑战,如系统互操作性和数据隐私问题,成为主要障碍,因此有必要制定标准化协议和强有力的安全措施。组织对变革的抵制以及需要广泛的培训和能力建设也被认为是重大障碍。社会文化方面的挑战,包括技术素养的差异和对数字系统的信任,使整合过程更加复杂。尽管存在这些挑战,但研究强调了 BIS 整合带来的巨大益处,包括改进数据管理和分析、提高计划效率和改善资源分配。这些优势有助于做出更明智的决策、及时采取干预措施和优化资源利用,最终提高公共卫生营养计划的有效性。研究结果为政策制定者、医疗保健专业人员和 IT 专家提供了宝贵的见解,为加强 BIS 的采用和利用以实现更好的健康结果提供了指导。未来的研究应继续探索不同环境中的这些挑战和机遇,以建立一个有关在公共卫生环境中整合 BIS 的全面知识体系。
{"title":"INTEGRATING BUSINESS INFORMATION SYSTEMS IN PUBLIC HEALTH NUTRITION PROGRAMS: CHALLENGES AND OPPORTUNITIES","authors":"Mahmuda Afroz Siddika, Devayan Chakraborty, Mohammad Sayed Noor, Md. Nazmul Haque","doi":"10.62304/ijmisds.v1i04.178","DOIUrl":"https://doi.org/10.62304/ijmisds.v1i04.178","url":null,"abstract":"The integration of Business Information Systems (BIS) into public health nutrition programs offers significant potential to enhance efficiency, data management, and decision-making processes. This study explores the multifaceted challenges and opportunities associated with BIS integration, employing a qualitative approach to gather in-depth insights from key stakeholders, including program managers, policymakers, healthcare professionals, IT specialists, and beneficiaries. Technical challenges, such as system interoperability and data privacy concerns, emerged as major barriers, necessitating the development of standardized protocols and robust security measures. Organizational resistance to change and the need for extensive training and capacity-building were also identified as significant obstacles. Socio-cultural challenges, including variability in technological literacy and trust in digital systems, further complicate the integration process. Despite these challenges, the study highlights substantial benefits of BIS integration, including improved data management and analytics, enhanced program efficiency, and better resource allocation. These advantages facilitate more informed decision-making, timely interventions, and optimized resource use, ultimately improving the effectiveness of public health nutrition programs. The findings provide valuable insights for policymakers, healthcare professionals, and IT specialists, offering guidance for enhancing BIS adoption and utilization to achieve better health outcomes. Future research should continue to explore these challenges and opportunities in diverse settings to build a comprehensive body of knowledge on BIS integration in public health contexts.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":" 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141671936","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 : 2024-07-04DOI: 10.62304/jldpss.v3i03.176
Sarfaraaj Mandal
The study contains the human rights condition of the Rohingya refugees in Bangladesh in general as well as their human right to nationality in the country in particular. It also contains, on a comparative approach, the human right to nationality of the Bangalees in Bangladesh. Data are collected from both primary and secondary sources and they are analysed systematically for reaching a solution to the problem of nationality of both the peoples, Rohingya and Bangalee. The study wants to create public opinion for the redress of the Rohingya refugees who were compelled to flee to Bangladesh from Myanmar by the government as well as the military of Myanmar.It shows that the right to nationality of the ethnic/cultural and linguistic majority ‘Bangalee’ people of Bangladesh was kept aloof from them for more than three decades. The study explores the governmental and foreign aids to help them sustain, transfer of many of them from Cox’s Bazar to BhasanChar of Noakhali district, and geopolitical issues surrounding the Rohingyas in Myanmar and Bangladesh. It unveils the legal issue relating to nationality and citizenship of the Bangalees as well as the Rohingya refugees in Bangladesh, which is seldom addressed by lawyers and general readers. It shows the distinction between nationality and citizenship and makes some suggestions to overcome the problem of nationality and citizenship identities of the Bangalees and Rohingyas in Bangladesh as well as in Myanmar.
{"title":"HUMAN RIGHT TO NATIONALITY OF THE ROHINGYA REFUGEES AND THE BANGALEES IN BANGLADESH","authors":"Sarfaraaj Mandal","doi":"10.62304/jldpss.v3i03.176","DOIUrl":"https://doi.org/10.62304/jldpss.v3i03.176","url":null,"abstract":"The study contains the human rights condition of the Rohingya refugees in Bangladesh in general as well as their human right to nationality in the country in particular. It also contains, on a comparative approach, the human right to nationality of the Bangalees in Bangladesh. Data are collected from both primary and secondary sources and they are analysed systematically for reaching a solution to the problem of nationality of both the peoples, Rohingya and Bangalee. The study wants to create public opinion for the redress of the Rohingya refugees who were compelled to flee to Bangladesh from Myanmar by the government as well as the military of Myanmar.It shows that the right to nationality of the ethnic/cultural and linguistic majority ‘Bangalee’ people of Bangladesh was kept aloof from them for more than three decades. The study explores the governmental and foreign aids to help them sustain, transfer of many of them from Cox’s Bazar to BhasanChar of Noakhali district, and geopolitical issues surrounding the Rohingyas in Myanmar and Bangladesh. It unveils the legal issue relating to nationality and citizenship of the Bangalees as well as the Rohingya refugees in Bangladesh, which is seldom addressed by lawyers and general readers. It shows the distinction between nationality and citizenship and makes some suggestions to overcome the problem of nationality and citizenship identities of the Bangalees and Rohingyas in Bangladesh as well as in Myanmar.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":" 36","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141678014","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 study delves into the integration of Artificial Intelligence (AI) in Human Resource Management (HRM) and examines the pivotal role of Management Information Systems (MIS) in enhancing decision-making processes. The transformative capabilities of AI are revolutionizing HRM by making operations more efficient, precise, and data-driven. By leveraging AI, MIS can significantly improve the decision-making processes within HRM, enabling more accurate, timely, and objective outcomes. This comprehensive analysis, based on a systematic review of 100 studies, underscores the various benefits of integrating AI within HRM systems, such as improved recruitment processes, enhanced performance management, and increased employee engagement. Additionally, the study addresses the challenges associated with AI adoption, including technical, ethical, and organizational hurdles. It also explores the future prospects of AI in HRM, suggesting that continuous advancements and strategic implementations of AI-enabled MIS can lead to superior organizational outcomes. The findings from this study indicate that the adoption of AI-enabled MIS holds substantial potential for enhancing HR decision-making processes, ultimately contributing to better organizational performance and competitive advantage.
{"title":"INTEGRATING ARTIFICIAL INTELLIGENCE IN HRM: THE ROLE OF MANAGEMENT INFORMATION SYSTEMS IN ENHANCING DECISION-MAKING PROCESSES","authors":"Md Ashrafuzzaman, Khan Bahadur Prince, Anisur Rahman","doi":"10.62304/ijmisds.v1i04.177","DOIUrl":"https://doi.org/10.62304/ijmisds.v1i04.177","url":null,"abstract":"This study delves into the integration of Artificial Intelligence (AI) in Human Resource Management (HRM) and examines the pivotal role of Management Information Systems (MIS) in enhancing decision-making processes. The transformative capabilities of AI are revolutionizing HRM by making operations more efficient, precise, and data-driven. By leveraging AI, MIS can significantly improve the decision-making processes within HRM, enabling more accurate, timely, and objective outcomes. This comprehensive analysis, based on a systematic review of 100 studies, underscores the various benefits of integrating AI within HRM systems, such as improved recruitment processes, enhanced performance management, and increased employee engagement. Additionally, the study addresses the challenges associated with AI adoption, including technical, ethical, and organizational hurdles. It also explores the future prospects of AI in HRM, suggesting that continuous advancements and strategic implementations of AI-enabled MIS can lead to superior organizational outcomes. The findings from this study indicate that the adoption of AI-enabled MIS holds substantial potential for enhancing HR decision-making processes, ultimately contributing to better organizational performance and competitive advantage.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":" 33","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141679211","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 : 2024-06-09DOI: 10.62304/jldpss.v3i2.167
Najmus Saqib Bin Rafi
The Rohingya refugee crisis is not a recent phenomenon for Bangladesh rather Bangladesh has started experiencing the problems of the issue of Refugees since 1978. Presently, a large number of unregistered refugees fled from Myanmar and are living in two official camps in Nayapara and Kutupalong which have become a matter of great concern for Bangladesh. These people are simply spoiling the reputation of Bangladesh in the international arena, at the same time, becoming the security threat for Bangladesh through committing various crimes including involving themselves in terror activities, working like drug traffickers and others as well as using fake Bangladeshi passport. However, this article is a comprehensive study to understand about- “Rohingya Refugee in Bangladesh: An Overview from Multi-Dimensional Approaches”. Here, obviously tried to understand from Bangladesh perspective but also an objective study of how Bangladesh is facing challenges to deal with the crisis and also a discussion on how other powerful countries and International Organizations are working to resolve the most burning issue. Moreover, this article argues that the Rohingya crisis is no longer only a humanitarian calamity but a potential threat to Bangladesh’s internal stability.
{"title":"Rohingya Refugee in Bangladesh: An Overview from Multi-DimenSional Approaches","authors":"Najmus Saqib Bin Rafi","doi":"10.62304/jldpss.v3i2.167","DOIUrl":"https://doi.org/10.62304/jldpss.v3i2.167","url":null,"abstract":"The Rohingya refugee crisis is not a recent phenomenon for Bangladesh rather Bangladesh has started experiencing the problems of the issue of Refugees since 1978. Presently, a large number of unregistered refugees fled from Myanmar and are living in two official camps in Nayapara and Kutupalong which have become a matter of great concern for Bangladesh. These people are simply spoiling the reputation of Bangladesh in the international arena, at the same time, becoming the security threat for Bangladesh through committing various crimes including involving themselves in terror activities, working like drug traffickers and others as well as using fake Bangladeshi passport. However, this article is a comprehensive study to understand about- “Rohingya Refugee in Bangladesh: An Overview from Multi-Dimensional Approaches”. Here, obviously tried to understand from Bangladesh perspective but also an objective study of how Bangladesh is facing challenges to deal with the crisis and also a discussion on how other powerful countries and International Organizations are working to resolve the most burning issue. Moreover, this article argues that the Rohingya crisis is no longer only a humanitarian calamity but a potential threat to Bangladesh’s internal stability.","PeriodicalId":518594,"journal":{"name":"Global Mainstream Journal","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141367040","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}