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An Emerging Consensus on Green Economics: Lessons for Bangladesh
Get PDFThe term Green Economics is a thoughtful segment of economy that exhibits a deep revere for nature. It is primarily a system of ideas and principles, rather than a rationally argued intellectual position. Although the very concept of Green Economics has immense impacts on developments in strategy and politics, it is presently less well grounded in the academy. Green Economics suggests an alternative to mainstream economics, which views society and the ecosystem as subsets of the wider, global economy. In this paper authors try to outline some key issues central to a green study of the economy: the emergent meaning of Green Economics, potential sectors, propositions for ecological base, and core beliefs of Green Economics for Bangladesh. The study imperatives will attribute to the inherent dependency of economic system and environment which will ultimately help to minimize negative impacts on environment. For the study, the researchers have meticulously reviewed the research documents and other literatures relevant to the subject matter and contemplated on the inner thoughts in the commentary. This piece of effort will be helpful for the financial institutions, researchers and policy makers.
 
ENHANCING AIR POLLUTION CONTROL WITH MACHINE LEARNING IN THE AUTOMATION FIELD
Get PDFThe integration of machine learning with real-time data collection offers a transformative approach to optimizing pollution control strategies. This study explores the application of these advanced technologies in various environments, including urban, industrial, coastal, and rural areas. Using predictive machine learning models, significant reductions in pollutants such as PM2.5, SO2, NOx, VOCs, PM10, and NH3 were achieved through targeted and timely interventions. In urban areas, air quality improved notably due to proactive measures informed by high-accuracy predictions. Industrial areas saw a 20% reduction in sulfur dioxide emissions, while coastal areas effectively managed volatile organic compounds. In rural areas, optimizing agricultural practices led to substantial decreases in particulate matter and ammonia emissions. These findings validate the efficacy of machine learning in enhancing pollution control efforts, highlighting its potential to revolutionize air quality management. This study underscores the importance of continued investment in advanced, data-driven approaches to address the growing challenge of air pollution, advocating for more sophisticated, adaptive, and effective strategies to protect public health and the environment
How Up-to-date Employees are on the Environment and How that Affects Green Human Resource Management
Get PDFThe goal of this learning was to look at the green HRM methods used in Bangladesh's clothing industry and how they affect employees' green behavior at work and in their free time. This study looked at how workers' knowledge of the environment affected the connection among green HRM performs and the green things they did at effort and in their individual survives. A administered by oneself questionnaire poll was used to gather the data. 270 managers and supervisors from Bangladeshi clothing makers took part in the poll.Moderated regression study was used to examine the study model that was proposed. The study found that green HRM practices made employees more environmental friendly at workplace and in their individual lives. These benefits were positive and statistically significant. The results show that things employees do to be green, both inside and outside of work, are probably a result of what they've learned and experienced at work. Green HRM methods had a bigger effect on workers who cared about the environment, as shown by the fact that knowing about the environment lessened the effects on green behavior at work and in their free time (Biemans, 2013). The study's results give policymakers and HR experts ideas for how to get workers to behave in ways that are better for the environment. This will help to improve environmental performance.
Contribution/Originality: This study not only fills in a gap in the research, but it also adds to it by looking into how green HRM performs influencing workers' green behavior at work and outside of work.
 
CYBERSECURITY SOLUTIONS AND PRACTICES: FIREWALLS, INTRUSION DETECTION/PREVENTION, ENCRYPTION, MULTI-FACTOR AUTHENTICATION
Get PDFIn today's digitally interconnected world, cybersecurity is paramount for protecting sensitive information from sophisticated threats. This literature review examines four key cybersecurity solutions—firewalls, intrusion detection and prevention systems (IDPS), encryption, and multi-factor authentication (MFA)—highlighting their roles, advancements, and challenges based on 105 articles. Firewalls (n=35), including packet-filtering, stateful inspection, proxy, and next-generation firewalls (NGFWs), act as barriers controlling network traffic. NGFWs integrate deep packet inspection and application awareness, enhancing security despite complex maintenance issues. IDPS technologies (n=30) have evolved from anomaly detection to AI-integrated systems, improving threat detection while facing false-positive rates and zero-day exploit challenges. Encryption (n=25) ensures data confidentiality, progressing from basic ciphers to algorithms like AES and post-quantum cryptography, though it grapples with computational and key management complexities. MFA (n=15) enhances security through multiple verification factors, evolving from passwords to biometrics and behavioral analytics, yet faces user inconvenience and potential bypass methods. A comparative analysis reveals that firewalls and IDPS effectively prevent and detect threats but require meticulous management; encryption demands efficient key management; and MFA strengthens authentication but may encounter user resistance. Integrating these solutions within a layered security framework provides comprehensive protection, leveraging their strengths for a resilient security posture. Case studies affirm that multi-layered security approaches reduce breaches, underscoring the effectiveness of integrated cybersecurity practices. Continuous innovation, user education, and adaptive management are vital for addressing dynamic cyber threats, reinforcing the need for a robust, multi-faceted cybersecurity strategy.
THE ROLE OF AI IN PROMOTING SUSTAINABILITY WITHIN THE MANUFACTURING SUPPLY CHAIN ACHIEVING LEAN AND GREEN OBJECTIVES
Get PDFThis research article explores the critical role of Artificial Intelligence (AI) in advancing sustainability within the manufacturing supply chain, with a focus on achieving lean and green objectives. The study emphasizes how AI technologies can optimize supply chain processes, reduce waste, and enhance environmental sustainability while simultaneously improving efficiency. Through a comprehensive literature review, the article examines existing AI applications in supply chain management, identifying key trends, challenges, and opportunities. The methodology section outlines the systematic approach used to gather and analyze relevant data, while the findings highlight the transformative potential of AI in fostering sustainable practices. The discussion delves into the implications of these findings for the manufacturing sector, suggesting that the integration of AI not only aligns with lean manufacturing principles but also supports broader sustainability goals. The article concludes by emphasizing the need for continued research and development in AI-driven supply chain solutions to fully realize their potential in promoting a greener, more efficient manufacturing industry
DATA SECURITY IN IOT DEVICES AND SENSOR NETWORKS FOR ROBUST THREAT DETECTION AND PRIVACY PROTECTION
Get PDFThe rapid proliferation of Internet of Things (IoT) devices and sensor networks has revolutionized various industries by enhancing automation, connectivity, and operational efficiency. However, these advancements have also introduced significant security challenges due to the resource constraints and decentralized nature of IoT environments. This paper provides a systematic review of IoT security solutions, focusing on encryption techniques, authentication protocols, and machine learning-based anomaly detection methods. A total of 55 peer-reviewed articles were analyzed following the PRISMA guidelines. The findings reveal that while lightweight cryptographic algorithms, such as elliptic curve cryptography (ECC), offer robust security with low energy consumption, scalability across large IoT networks remains a challenge. Blockchain-based authentication has emerged as a promising decentralized solution, but issues related to energy consumption and latency hinder its widespread adoption. Machine learning techniques have shown high accuracy in detecting threats in real-time, but their resource-intensive nature limits their application in low-power IoT devices. This review underscores the need for multi-layered, integrated security frameworks and highlights gaps in research on quantum-resistant cryptography and interoperable security standards. Future research must focus on developing scalable, energy-efficient security solutions to ensure data integrity and privacy in expanding IoT ecosystems
Transforming Corporate Social Responsibility through Green Supply Chain Practices: Unlocking Sustainable Growth and Competitive Advantage
Get PDFThis study investigates the revolutionary possibilities of combining Green Supply Chain Practices (GSCP) with Corporate Social Responsibility (CSR) to give businesses a competitive edge and sustainable growth. In a time, when social responsibility and environmental issues are of the utmost importance, companies looking to improve their sustainability efforts must comprehend how CSR and GSCP interact. Investigating how the combination of these two areas may enhance stakeholder interactions, promote innovation, and increase operational efficiency is the fundamental goal of this research. The research approach used in this study is qualitative and is based on secondary data analysis. It makes use of a thorough review of previous research, industry reports, and pertinent publications. A strong basis for analysis is provided by the dataset, which includes recent research and ideas from a variety of industries. Organizations that successfully combine CSR and GSCP report notable operational gains, improved reputations, and heightened stakeholder trust, according to key findings. However, problems like change aversion and the lack of defined frameworks for measurement are still common. Overall, this research adds to the expanding body of knowledge on sustainability in business practices and offers practical recommendations for organizations looking to improve their CSR and GSCP initiatives. The implications of this research are both theoretical and practical, emphasizing the necessity for organizations to adopt integrated strategies that align CSR with GSCP. Although the study provides insightful information about the advantages and difficulties of this integration, it also acknowledges limitations related to the generalizability of findings across different cultural contexts and sectors
PRIME MINISTER SHEIKH HASINA IS EXCEPTIONALLY A TALENT LEADER : A STUDY ON MAJOR STEPS HAVE UNDERTAKEN BY HONORABLE PRIME MINISTER TO TACKLE THE ECONOMY DURING COVID-19 PANDEMIC PERIOD.
Get PDFDecent work is employment that respects the fundamental rights of the human person as well as the rights of workers in terms of conditions of work safety and remuneration. respect for the physical and mental integrity of the worker in the exercise of his/her employment. Decent work is applied to both the formal and informal sector. It must address all kind of jobs, people and families. Decent work involves opportunities for work that are productive and deliver a fair income, security in the workplace and social protection for families, better prospects for personal development and social integration, freedom for people to express their concerns, organize and participate in the decisions that affect their lives and equality of opportunity and treatment for all women and men. Bringing public service to the access way to citizen comprises many issues like quality service, TQM, cost minimization, timeliness, decent work environment and so forth. By considering the global family, The UN also set sixteen goals and shown guidelines to a great extent. Thus this research intends to link up between UN and Bangladesh guidelines in respect of decent work environment to contribute economic growth by lowering cost, limiting time, and quality service, to provide effective public service efficiently, to find the tools to reach the objective oriented goal fixed by Government of Bangladesh , to achieve sustainable goal shown by UN through guidelines and recommendations, as well as to find a way to achieve sustainable goal and recommendations and last but not the least to ensure inclusive and sustainable economic growth, employment and decent work for all
DESIGNING EARTHQUAKE-RESISTANT FOUNDATIONS: A GEOTECHNICAL PERSPECTIVE ON SEISMIC LOAD DISTRIBUTION AND SOIL-STRUCTURE INTERACTION
Get PDFThe design of earthquake-resistant foundations is a critical aspect of geotechnical engineering, particularly in regions susceptible to seismic activity. This study explores the role of seismic load distribution and soil-structure interaction in the development of resilient foundation systems. By integrating advanced geotechnical analysis techniques, the research examines various soil types, foundation materials, and structural configurations to identify the optimal conditions for mitigating seismic impacts. Emphasis is placed on understanding the interaction between soil properties, foundation stiffness, and seismic forces, with the goal of improving the safety and durability of built environments. The findings contribute to better predictive models for designing foundations that can withstand seismic loads while ensuring long-term stability
ENHANCING FASHION FORECASTING ACCURACY THROUGH CONSUMER DATA ANALYTICS: INSIGHTS FROM CURRENT LITERATURE
Get PDFThe fashion industry is characterized by its fast-paced nature and constant evolution of consumer preferences, making accurate fashion forecasting essential for brands to remain competitive. Traditional forecasting methods, which rely heavily on historical sales data and expert intuition, are increasingly being complemented or replaced by advanced consumer data analytics. This article explores the integration of consumer data analytics into fashion forecasting, drawing insights from recent literature. By examining methodologies such as machine learning, big data analytics, and AI, as well as utilizing diverse data sources including social media, online shopping behaviors, and mobile data, this study highlights the significant improvements in trend prediction accuracy and operational efficiency. Key findings indicate that data-driven approaches provide more precise and real-time insights into consumer preferences, enabling brands to better anticipate market demands and optimize inventory management. The discussion underscores the transformative potential of consumer data analytics in enhancing the overall effectiveness of fashion forecasting