{"title":"THE IMPACT OF ADVANCED ROBOTICS AND AUTOMATION ON SUPPLY CHAIN EFFICIENCY IN INDUSTRIAL MANUFACTURING: A COMPARATIVE ANALYSIS BETWEEN THE US AND BANGLADESH","authors":"","doi":"10.62304/jbedpm.v3i03.86","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i03.86","url":null,"abstract":"This study explores the contrasting approaches to robotics integration in manufacturing processes employed by Bangladesh and the United States. By examining three distinct case studies – garment manufacturing, high-tech manufacturing, and agriculture – the analysis reveals significant variations in adoption rates, technological focus, and strategic implementation. These disparities stem from each nation's unique economic landscape, industrial structure, and labour market dynamics. Bangladesh, characterised by low-wage labour in garment manufacturing, cautiously incorporates automation technologies like Sewbots to enhance long-term efficiency and product quality. Conversely, the U.S. garment industry strategically utilises robots for specialised tasks in niche markets, seeking a competitive advantage through precision and design innovation. In high-tech manufacturing, the U.S. leverages readily available commercial solutions and a skilled workforce for extensive robotics adoption, ensuring precision and consistency in complex processes. Bangladesh acknowledges these benefits but faces challenges related to cost and skills gaps, necessitating capability building and strategic partnerships for future integration. Both countries recognise the high potential of robotics in agriculture; however, the U.S. combats labour shortages and enhances efficiency through advanced solutions like farming robots and UAVs. Bangladesh explores automation to increase yield and reduce manual labour dependence. This comparative analysis contributes to understanding global manufacturing and supply chain optimisation by highlighting the diverse factors influencing robotics adoption across nations. The research suggests a future where the U.S. refines and expands advanced robotics use. Bangladesh strategically invests in and develops its workforce, potentially forming partnerships to integrate robotics into high-tech manufacturing and agriculture. As robotics and automation technologies evolve, both countries stand to benefit by embracing these advancements while navigating the challenges to ensure a smooth transition toward a more automated and efficient future for their manufacturing sectors.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"75 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140236061","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}
{"title":"SUSTAINABLE FASHION ANALYTICS: PREDICTING THE FUTURE OF ECO-FRIENDLY TEXTILE","authors":"Mridha Younus","doi":"10.62304/jbedpm.v3i03.85","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i03.85","url":null,"abstract":"This article examines the critical role of data analytics in promoting sustainable practices within the fashion industry, against the backdrop of increasing environmental concerns and consumer demand for eco-friendly products. Despite the potential of analytics to drive significant improvements in sustainability, the fashion industry faces several challenges, including data inconsistency, lack of standardization, limited availability of reliable data, the prevalence of greenwashing, and technological limitations. The analysis highlights the importance of overcoming these obstacles through technological innovations such as blockchain, artificial intelligence (AI), big data analytics, Internet of Things (IoT), and advanced life cycle assessment (LCA) tools. These technologies offer new opportunities for optimizing production processes, improving sustainable material sourcing, and enhancing consumer engagement. The article underscores the potential of leveraging data analytics and technology to achieve greater sustainability in the fashion industry, advocating for a collaborative effort among stakeholders to embrace these advancements and drive positive change.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"60 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140236071","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}
{"title":"The Transformative Impact of Big Data in Healthcare: Improving Outcomes, Safety, and Efficiencies","authors":"Md Samiul Alam Mazumder","doi":"10.62304/jbedpm.v3i03.82","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i03.82","url":null,"abstract":"The integration of Big Data analytics into the healthcare sector has initiated a period of unparalleled transformation, significantly influencing patient care, research, and healthcare administration. This detailed synthesis, derived from a systematic literature review of 31 articles published between 2013 and 2023, examines the extensive impact of Big Data within the healthcare industry. It addresses how Big Data enhances personalized medicine and optimizes treatment protocols, promotes the use of predictive analytics for the early detection and management of diseases, and bolsters patient safety through the implementation of real-time monitoring and decision support systems. The review also confronts the challenges and limitations associated with Big Data's application, including concerns over data privacy and security, ethical dilemmas, interoperability issues, and the necessity for both skilled personnel and advanced technological infrastructure. Furthermore, this overview ventures into future prospects and technological advancements, emphasizing the pivotal role of emerging technologies such as artificial intelligence (AI), machine learning, and blockchain in heralding a new era of healthcare. It highlights Big Data's instrumental role in supporting public health measures and preparing for pandemics, alongside forecasting the ongoing influence of Big Data in fostering innovative healthcare paradigms. This analysis advocates for a concerted effort among healthcare professionals, policymakers, and technology experts to fully leverage Big Data's capabilities in healthcare, aiming to enhance health outcomes, increase operational efficiencies, and ensure the long-term viability of healthcare systems.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"19 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140266734","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}
{"title":"INNOVATIVE APPROACHES TO SUSTAINABLE SUPPLY CHAIN MANAGEMENT IN THE MANUFACTURING INDUSTRY: A SYSTEMATIC LITERATURE REVIEW","authors":"","doi":"10.62304/jieet.v3i02.81","DOIUrl":"https://doi.org/10.62304/jieet.v3i02.81","url":null,"abstract":"This systematic literature review examines innovative approaches to Sustainable Supply Chain Management (SSCM) within the manufacturing sector, an area increasingly recognised as critical due to ethical imperatives and economic incentives. We evaluated studies sourced from Scopus, Web of Science, and PubMed, adhering to strict eligibility criteria emphasising SSCM's applicability to manufacturing. Our search and screening process identified 381 studies, from which 46 were selected for an in-depth review of technological innovations and collaborative strategies. Preliminary analysis indicates that SSCM integration correlates positively with operational efficiency, cost-effectiveness, and environmental sustainability. Despite potential limitations such as methodological diversity among studies and publication bias, the findings highlight the importance of technology and collaboration in advancing SSCM. These results indicate the need for further investigation into the long-term effects and adaptability of SSCM in various manufacturing environments.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"12 3‐4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140398064","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}
{"title":"Revealing the Accounting Problems: An In-Depth Exploration of Accounting Challenges and Remedies","authors":"","doi":"10.62304/jbedpm.v3i02.84","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i02.84","url":null,"abstract":"To identify the root causes of accounting issues and provide workable solutions, this research study provides a comprehensive analysis of the issues that companies across various industries encounter. It looks at the challenges presented by contemporary accounting practices, bringing to light common problems such as erroneous financial reporting, inadequate cash flow management, and inefficient accounts payable processes. The study examines how these issues might affect stakeholder relationships, monetary gain, and potential legal repercussions. This study helps readers understand these accounting errors' underlying causes and effects by simplifying its findings. To address these problems, it also examines cutting-edge approaches and future technology, such as improved internal controls, automated accounting systems, and sophisticated data analytics. Through this research, organizations can obtain a valuable understanding of the primary accounting difficulties influencing their financial operations, empowering them to make informed decisions to address these concerns. By implementing the recommended solutions, businesses can enhance their overall financial performance as well as their operational efficiency, regulatory compliance, and financial transparency. In summary, this study significantly expands the body of knowledge already available about accounting practices by doing a detailed review of the issues and offering practical answers.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"108 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140418442","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}
{"title":"Impact of Artificial Intelligence on Bangladesh Stock Market: A Bibliometrics Approach","authors":"","doi":"10.62304/bedpmv3i2a02","DOIUrl":"https://doi.org/10.62304/bedpmv3i2a02","url":null,"abstract":"The study shows the importance of the concept of artificial intelligence's impact on stock markets in economics, with implications for other disciplines as well. The research emphasizes the importance of this concept via a bibliometric analysis and promotes more interdisciplinary collaboration among experts. Analyzed using several performance criteria, the quantitative attributes and importance of academic contributions from worldwide sources were evaluated. VosViewer software was used for Science Mapping, which revealed the vast network of ideas. Future researchers may profit from the favourable research trajectory and major relevance of published works, as they anticipate additional breakthroughs in the subject.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140432091","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}
{"title":"Exploring The Relationship Between Job Stress and Sleep Quality of Community Nurses in China","authors":"Fan Qinyuan Sahadat Hossain","doi":"10.62304/bedpmv3i2a01","DOIUrl":"https://doi.org/10.62304/bedpmv3i2a01","url":null,"abstract":"It is necessary that nurses have a proper sleep schedule to be able to serve their duty with proper dedication. However, in China it has been noticed that challenges within the healthcare system are affecting the sleep schedule of nurses indirectly. The lack of a proper working environment or job security has affected the sleep schedule for Chinese nurses majorly, one of the significant reasons being job stress. A quantitative study has been adopted in this research to identify the main reasons why nurses in China are having an imbalance over sleep quality. The findings of the study have shown high reliability of the methods used with the testing of the Cronbach Alpha value. Policymakers can use the findings of this study to entail different laws for improving the stress at work for the nurses to enhance their respective sleep qualities.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"32 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140462063","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}
{"title":"Professionalism And Performance of Nursing Staffs in Fight Against the Outbreak of Pandemic","authors":"","doi":"10.62304/alhe.v3i01.73","DOIUrl":"https://doi.org/10.62304/alhe.v3i01.73","url":null,"abstract":"Nursing staff's professionalism is crucial for optimal performance in healthcare, especially during pandemics, ensuring effective patient care and safety. The objective of this paper is to assess the nursing staff's effectiveness and professionalism in the fight against pandemic epidemics. In this regard, a sample size of 214 out 480 nursing staff was surveyed in this research. The study's findings have demonstrated the clear influence that honesty has on customer satisfaction, and that positive comments can inspire nurses to improve patient outcomes.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"22 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139896735","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}
{"title":"Professionalism And Performance of Nursing Staffs in Fight Against the Outbreak of Pandemic","authors":"","doi":"10.62304/alhe.v3i01.73","DOIUrl":"https://doi.org/10.62304/alhe.v3i01.73","url":null,"abstract":"Nursing staff's professionalism is crucial for optimal performance in healthcare, especially during pandemics, ensuring effective patient care and safety. The objective of this paper is to assess the nursing staff's effectiveness and professionalism in the fight against pandemic epidemics. In this regard, a sample size of 214 out 480 nursing staff was surveyed in this research. The study's findings have demonstrated the clear influence that honesty has on customer satisfaction, and that positive comments can inspire nurses to improve patient outcomes.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"10 S1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139893319","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}
{"title":"INTEGRATING ARTIFICIAL INTELLIGENCE AND BIG DATA IN MOBILE HEALTH: A SYSTEMATIC REVIEW OF INNOVATIONS AND CHALLENGES IN HEALTHCARE SYSTEMS","authors":"","doi":"10.62304/jbedpm.v3i01.70","DOIUrl":"https://doi.org/10.62304/jbedpm.v3i01.70","url":null,"abstract":"This systematic review explores the integration of Artificial Intelligence (AI) and Big Data in mobile health (mHealth) and their transformative impact on healthcare systems. Analysing 25 peer-reviewed articles, the review delves into the utilisation, innovations, and inherent challenges of AI and Big Data in various healthcare settings. The findings reveal that AI and Big Data significantly enhance diagnostic precision, personalise treatment strategies, and streamline healthcare operations. However, this technological advancement is not without its complexities. Key challenges identified include ethical dilemmas, data privacy and security issues, and preserving the human element within healthcare. The review underscores the risk of an over-reliance on AI and the criticality of using unbiased, representative data sets. The integration of AI into clinical practices, while promising, demands rigorous oversight and ethical governance. The review concludes that the successful adoption of AI and Big Data in healthcare hinges on a balanced approach that harmonises technological innovation with ethical, equitable, and human-centred healthcare practices. If managed effectively, this integration offers the potential for significant improvements in patient outcomes and operational efficiency yet requires vigilant management of the challenges to realise its benefits fully.","PeriodicalId":517148,"journal":{"name":"GLOBAL MAINSTREAM JOURNAL OF ARTS, LITERATURE, HISTORY & EDUCATION","volume":"2 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140514036","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}